Category: Knee ligaments

  • How to eat healthier on Thanksgiving

    How to eat healthier on Thanksgiving

    Overindulgence is a common Thanksgiving theme. With a plate full of carbs, sugars, and gravy, it’s easy to deviate from your regular diet and overeat. The good news is that you don’t have to become a victim this year. Instead, follow our tips on how to keep it healthy this Thanksgiving.

    Instead of bathing the bird in butter…


    This herb roasted turkey is highly rated and requires no butter in the recipe. Or, if you prefer a vegetarian option, make this Wild Rice Stuffed Squash. With ingredients like cinnamon powder, dried cherries and fresh sage, this recipe can make the holiday a vegetarian celebration every year.

    Place chopped sweet potatoes in the oven

    Instead of sweet potato casserole…

    Make these roasted sweet potatoes with honey and cinnamon. You get the same taste without the calories. You can finish the dish with chopped pecans, which gives it a crunchy taste similar to the typical topping of a sweet potato dish.

    Instead of mashed potatoes…

    Swap the butter for olive oil, put down the potato masher, and forget about adding boiled potatoes to your Thanksgiving to-do list. Before baking, these red potatoes are cut into cubes and placed on a baking sheet with rosemary, garlic and salt.

    Instead of canned cranberry sauce…

    Make your own. Cranberry sauce, yes Real easy to make. Plus, the sauce turns out flavorful and fresh instead of… squishy. An added bonus: you can make this side the night before.

    Instead of high-calorie filling…

    Try leaving out the carbs for cauliflower. This recipe is made on the stovetop, so you no longer have to worry about balancing the cooking time with the turkey in the oven. With the additions of carrots, onions and mushrooms, the concoction is a vegetable mix that tastes more like stuffing, which we call a win-win.

    Instead of creamed green beans…


    Buy a whole bunch of fresh green beans to make this recipe. Cut some mushrooms and red onion into pieces. Pour some olive oil over it and place the dish in the oven for 15 minutes. While it’s cooking, fry some breadcrumbs with oregano. Add the Parmesan cheese and the zest of a lemon. Coat the green beans with the breadcrumb mixture and serve!

    Instead of a regular pumpkin pie…


    This clever baker adds treats like whipped cream to her pumpkin pie, while still offering a recipe with less fat and calories And the addition of some protein. For best results, make it the night before; it will be one less thing to add to the oven on the day off, and you will achieve much cleaner cuts.

    Nutritional guidelines for a food balance board.

    Think about the board

    Sure, those potatoes look delicious, and cranberry sauce is one of those things you can only eat during the holidays, but if you’re really trying to have a healthy Thanksgiving, you need to know what a healthy Thanksgiving plate looks like. A good rule of thumb is to think about your plate this way:

    • Half of the plate should contain vegetables
    • ¼ of the plate is for proteins
    • ¼ of the place is for starch

    For the remaining bits, like cranberry sauce and gravy, you should have very small portions – which we think should be consumed full of calories. Think of them as a garnish.

    7 Tips for a Healthier Thanksgiving!

    Tip #1: Stay hydrated. Drink plenty of water to keep your body hydrated, as many Thanksgiving meals are packed with sodium.
    Tip #2: Choose 1-2 dishes to enjoy. Are you looking at the pumpkin pie? Enjoy a piece; make sure it’s in moderation.
    Tip #3: Go outside. Enjoy the beautiful Arizona weather with your friends and family. Try a new hiking trail, walk around your neighborhood, or even a local Turkey Trot!
    Tip #4: Beat the post-Thanksgiving meal with a cup of coffee or hot green tea. Both options have been shown to help increase metabolism.
    Tip #5: Start your day with breakfast. Eat a hearty and healthy breakfast such as oatmeal, a vegetarian scramble or rye bread to get the day off to a good start.
    Tip #6: Stay away from the appetizer table. It’s hard to resist the temptation when there are a lot of snacks in front of you. Instead, try sitting in the living room and enjoying a conversation with your friends and family.
    Tip #7: Schedule a fat-burning workout for the day after Thanksgiving. It’s a great way to kick-start your long holiday weekend.

    We hope you now know how to stay healthy on Thanksgiving. If you find that pain is getting in the way of you enjoying your vacation, let’s fix it. Make an appointment with our physiotherapy clinic today.

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  • 5 strength training exercises for golfers

    5 strength training exercises for golfers

    By Anthony Vergne, PTA, TPI certified, VRS certificate | Biltmore Foothills

    Strength training is an important part of any golfer’s fitness routine. It can help you improve your power, distance and accuracy and reduce your risk of injury. Here are a few strength training exercises for golfers that you can do to improve your back and leg strength:

    Back exercises to maintain posture during the swing

    • Years of stretch: This exercise helps improve the flexibility of your lat muscles, which are located on the sides of your back. To perform a lat stretch, stand with your feet shoulder-width apart and reach your right arm up and above your head. Bend at the waist and reach your right hand toward your left toes. Hold the stretch for 30 seconds and then repeat on the other side.
    • Resistance to a backswing: This exercise helps strengthen the muscles in your back that are used during the backswing. To perform a resistance backswing, stand with your feet shoulder-width apart and hold a resistance band or cable in each hand. Anchor the bands or bar at shoulder height. Hold the ends of the bars in your hands and start in the address position. Make a slow and controlled backswing, keeping the bands tight. Return to address position and repeat for 10-12 reps.
    • Resistance to downswing/follow-through: Hold the handle with both hands and adopt your golf grip. Transition into the downswing by shifting your weight from the back foot to the front foot. Turn your hips and torso aggressively toward the machine and pull the handle against the cable resistance with both hands. This movement strengthens the muscles used in the downswing, promoting a powerful and controlled swing. Fully extend your arms and rotate your upper body toward the machine as if you were completing the golf swing.
    Man lifting weights in the gym.

    Leg exercises for hip flexibility and strength

    • Anti-rotation lunge to SLS: This exercise helps improve your hip stability and strength. To perform an anti-rotation lunge to SLS, stand with your feet shoulder-width apart and hold a resistance band around your waist. Anchor the other end of the band around a sturdy object at shoulder height. Step forward with your right leg and lower your body into a lunge. Keep your back straight and your core engaged. Rotate your torso to the right and keep the resistance band tight. Return to the starting position and repeat on the other side.
    • Deadlift: This exercise is a compound exercise that works multiple muscle groups, including your hamstrings, glutes and back. To perform a deadlift, stand with your feet shoulder-width apart and a dumbbell in front of you. Bend over and grasp the barbell with an overhand grip, slightly wider than shoulder-width apart. Keep your back straight and your core engaged. Lift the barbell up to your hips and hold it close to your body. Drive through your heels and lift the barbell up toward your thighs. Pause at the top and then lower the barbell back to the starting position. Repeat for 10-12 reps.

    You can perform these strength training exercises for golfers 2-3 times a week, with at least one rest day between workouts. Start with a challenging weight that will help you maintain good form. As you get stronger, you can gradually increase the weight.

    If you have questions or concerns about strength training for golf, schedule a FREE assessment at a Foothills Sports Medicine location near you.

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  • Do cool shirts make a difference?  The effects of upper body clothing on health, fluid balance and performance during exercise in the heat |  BMC Sports sciences, medicine and rehabilitation

    Do cool shirts make a difference? The effects of upper body clothing on health, fluid balance and performance during exercise in the heat | BMC Sports sciences, medicine and rehabilitation

    This study was conducted as a randomized, controlled, parallel-group experiment. The local ethics committee declared that the trial was in accordance with the ethical standards laid down in the Declaration of Helsinki, including its amendments [20]. An informed consent was signed by each participant prior to enrollment in the study.

    Adult volunteers were recruited through public tenders in a university setting. All participants were healthy, not acclimated to heat and reported regular physical activity (>150 minutes per week). Exclusion criteria included functionally restrictive metabolic or acute diseases. Chronic diseases affecting the cardiopulmonary system, infections or drug abuse are also excluded from participation.

    A total of 34 participants were included (age = 25; 4 years, height = 1.73; 0.09 m, body weight = 70.3; 13.3 kg).

    The trial included a baseline examination on day 1, including documentation of medical history, questionnaire-based recording of participants’ health and fitness status, as well as anthropometric assessments and a cardiopulmonary exercise test to voluntary exhaustion.

    The main study on day 2 (2-7 day washout between days 1 and 2) was a fixed intensity endurance exercise test for a maximum period of 45 minutes. During both exams, participants trained on a bicycle ergometer (Excalibur-Sport, Lode, Groningen, The Netherlands). The workload measured in Watts was automatically recorded. Heart rate (HR) was measured continuously via the chest strap and recorded as a 5-second average value on a corresponding watch (RS800/CX, S810i, S610i, Polar Electro). Breathing gas parameters were recorded using a breath-by-breath analyzer (Oxycon Mobile, Viasys Healthcare GmbH, Würzburg, Germany). Again, the five-second average values ​​were analyzed. Patients wore a rubber face mask through which the inhaled air was transferred to a ventilation turbine and further directed to the portable device with O2 and co2 gas analyzers. Relative oxygen consumption (VO2) and carbon dioxide emissions (VCO2) data was sent telemetrically to a computer. Before each test, the mobile gas analyzer is calibrated with reference gases (ambient air, 5% CO216% O2) and automated standard volume. The breath-by-breath analyzer was successfully tested for reliability (coefficient of variation for VO2 = 3.4, and for VCO2= 4.3) and was compared to the gold standard method to assess validity (difference of -4.1, 3.1% and -2.8, 3.5% compared to the Douglas Bag method) [21]. According to Perret and Mueller’s recommendation, the same spirometry system was used in all studies [22]. In addition, in both studies the degree of perceived exertion was assessed using the Borg Scale (RPE; 6 [no exertion] up to 20 [maximal exertion]) [23].

    Two types of short-sleeved shirts and a cooling vest were chosen for the experiment. One of the short-sleeved shirts was made of 100% cotton, while the other was made of 100% polyester with moisture-wicking finish (Decathlon, France). Participants were instructed to wear a shirt with a close-fitting but comfortable cut and chose the shirt size ad libitum (ranging from XXS to XL).

    The third experimental garment was a sleeveless cooling vest (Idenixx, Germany) that provided a tight fit to the torso and integrated cooling elements at the front and back. The vest’s upper material was a polyester (83%) elastane (17%) blend and the cooling elements were made of a polyester fleece. Cooling elements were activated by immersion in water. The evaporation of the vest is intended to enhance the endogenous evaporative cooling of the body.

    Volunteers were required to undergo a spirometer-based cardiopulmonary exercise test on a cycle ergometer to determine individual performance. A ramp-shaped protocol, adapted to an individual’s fitness level, was applied to reach voluntary exhaustion within 10-12 minutes. The initial workload was set at 50 W and was individually increased by 10, 15, 20, or 25 W every minute based on participants’ questionnaire-based report of fitness status. The testing protocol was in line with ACSM guidelines for exercise testing and prescribing [24]. Participants were introduced to the bicycle ergometer and the test protocol.

    Criteria defining maximum exhaustion are: (1) Respiratory Exchange Ratio (RER) > 1.10, (2) Reaching an age-related maximum heart rate, (3) Rate of Perceived Exertion (RPE) via Borg scale ≥ 17 [17,18,19,20](4) maximum O2 respiratory equivalent (< 30) [25].

    Maximum oxygen uptake (VO2max) was determined by the software by identifying the highest thirty second floating average of oxygen uptake throughout the test [26]. Verification was done manually by the researcher. The parameter was used to ensure homogeneous assignment of test conditions. The participants were ranked based on their VO2maximum Groups of three are formed from above. These groups of three participants were used as stratification grouping for the subsequent block randomization in the three test conditions.

    The respiratory compensation point (RCP) was detected for each participant using the 9 Panels Board and identifying (1) non-linear increase in ventilation (VE ) compared to linearly increasing or non-increasing carbon dioxide emissions (VCO2); (2) non-linearly decreasing end-tidal CO2partial pressure (PANDCO2) as well as an increase in the respiratory equivalent for CO2 [27, 28]. Interpretation of graphics, as described above, is a well-established approach [27, 28] and was executed by two independent investigators.

    Before the main study, all participants were instructed to prepare for exercise in the heat by providing adequate hydration (minimum 1.5 L/day; pretest 0.5 L). During the test, volunteers were not allowed to drink water. After a 5-minute rest phase, Bioimpedance Analysis (BIA) was performed using a tetrapolar device (Nutriguard-MS, Data Input, Darmstadt, Germany) with single frequency (50 kHz). Resistance (R) and reactance (Xc) in Ohms (Ω) were processed by Nutriplus software (Data Input, Darmstadt, Germany). Body weight in kg was then determined using a conventional digital scale. Probands were weighed only while wearing underwear and socks. Sports shorts and the randomly assigned upper body clothing option were weighed separately.

    The endurance exercise test on day 2 was performed in an air-conditioned and humidified room. We applied standardized warm environmental conditions, defined by a temperature of 30.5 °C (acceptable range of 1 °C) and a relative humidity of 43% (acceptable range of 13%). Humidity and temperature were monitored using a thermometer and a hygrometer. During the endurance test, the upper body was covered by one of three experimental garments. Due to its decisive feel and weight, the test garment could not be blind to the participant and the experimenter. Participants performed on the same cycle ergometer as at the baseline study with identical bike settings as documented during the initial study. They attempted to complete a 45-minute ride with a workload of 80% of the RCP. Volunteers are instructed to keep the cadence above 60 rpm. If this limit was permanently undershot, the test had to be classified as terminated due to voluntary exhaustion. The corresponding termination time was recorded as the outcome (exercise performance in minutes). The time limit to a maximum of 45 minutes of practice was imposed for safety reasons.

    In addition to heart rate (beats per minute [bpm]) and oxygen uptake (milliliter per kg body weight per minute). [ml/kg/min]) Inner ear temperature was measured using a digital infrared ear thermometer (Braun ThermoScan, Mexico) to display the core temperature outcome (degrees Celsius) [°C]). All measurements at all time points were performed by the same researcher using the same thermometer. As self-reported data results, we recorded the level of perceived exertion via the Borg scale (6 [no exertion] up to 20 [maximal exertion]) [23] and feelings scale (+ 5 [very good] to -5 [very bad]). In addition, there are sensations related to temperature (0 [unbearably cold] to 8 [unbearably hot]), sweating (0 [not at all] to 3 [heavily sweating]), clothing moisture (0 [no sensation] to 3 [wet]) and skin moisture (0 [dry] to 3 [too wet]) [14] were assessed. All outcomes, except exercise performance, were documented at rest before testing, at 5-min intervals during cycling, and at trial termination. To create a realistic scenario (outdoor exercise simulating cycling speed), airflow was simulated using a fan, located 49 cm in front of the ergometer, which directed an airflow of 20 km/h to the upper body. [29]. The air flow was controlled using a wind sensor.

    Statistical analysis was performed using Prism (version 9.1.0, GraphPad Software, LLC) and Jamovi (version 1.6.23.0). A survival time analysis was implemented using a 3-group Kaplan-Meier estimator. A Log-Rank test was requested between the groups. For both analyses, the dependent variable was the duration of the individual test termination. Basic data (cardiopulmonary exercise test, anthropometric measurements), pre- and post-exercise data for objective variables (heart rate, inner ear temperature, VO2) as well as self-reported parameters (RPE, feeling scale, thermal, sweating, clothing wetness and skin wetness feeling) were analyzed using Kruskal Wallis tests (non-parametric analysis of variance due to non-normal distribution of residuals) and Dwass-Steel-Critchlow pairwise comparisons -Fligner (post hoc test). Time series analysis for objective and self-reported outcomes during exercise was performed based on 95% confidence interval comparisons for up to nine time points (5, 10, 15, 20, 25, 30, 35, 40, and 45 minutes). ) [30]. The differences in body and clothing weight before and after training were analyzed using Student’s t-test. A p-value cutoff of 0.05 was set for significance testing.

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  • Towards functionally individualised designed footwear recommendation for overuse injury prevention: a scoping review | BMC Sports Science, Medicine and Rehabilitation

    Towards functionally individualised designed footwear recommendation for overuse injury prevention: a scoping review | BMC Sports Science, Medicine and Rehabilitation

    Overview

    Running shoes are often characterised based on their cushioning and motion control functionality. Consequently, we have categorised the literature review results into these sections. We discuss additional FDF that did not fit into the first two sections in a subsequent part, followed by an upper construction segment. In each chapter, we introduce a brief description of the FDF. Next, we present the results of studies, taking covariates into account and analysing BRFs. We further discuss studies that investigated BRFs without considering covariates. Finally, we place our findings in the context of the FDF’s potential to minimise the development of running-related overuse injuries (RRI). We identified 107 articles that met our inclusion criteria (Fig. 4, Supplementary 3 Table 1-12). Most of these articles were published at the start of the twenty-first century and primarily featured data from male runners (Fig. 5). We acknowledge a data gap in running footwear research, which aligns with the female data gap in sport and exercise science [24].

    Fig. 4
    figure 4

    A Scatter plot of the included articles. Articles for each footwear design feature are separated by the number of articles considering covariates (y-axis) and running-related biomechanical risk factors (x-axis). If applicable, covariates for each footwear design feature are reported. According to a recent Delphi study, scatters are scaled to their importance [25]. Larger diameters represent a higher level of importance, and smaller diameters a lower level of importance. White scatters were not reported in the Delphi study and are not scaled

    Fig. 5
    figure 5

    The publication timeline of the included articles, separated by the different footwear design features. Each pie chart represents one study with the fraction of male (dark-grey) and female (light-grey) runners. Pie charts are scaled to the number of runners included in the study. Larger diameters indicate larger sample sizes, and smaller diameters indicate smaller sample sizes

    Cushioning systems

    Cushioned midsoles were one of the first FDF introduced to modern running shoes. They were developed to provide a protective layer, attenuate the shock caused by the collision of the foot with the ground, and reduce local plantar pressure peaks [26]. The cushioning characteristics are modified in the midsole through material and geometry changes.

    Midsole compression stiffness and hardness

    Midsole compression stiffness, also known as hardness, is a fundamental material property that measures the deformation caused by an area load. In the past, midsoles were constructed with uniformly distributed compression stiffness. However, they can now be tailored to individually cushioned midsoles with varying properties at different locations due to the viscoelastic properties of the material [27].

    Twelve of thirty-five articles identified through our literature search considered covariates when analysing the response to differently cushioned midsoles (Fig. 4, Supplementary Table 1). Malisoux et al. considered the runner’s body mass as a covariate [28]. Athletes reported fewer injuries when running in softer midsoles, and lighter runners in hard shoes showed a greater risk of developing an RRI than heavier runners. Three articles investigated the biomechanical response of midsoles with varying hardness during different running speeds. Nigg et al. found that the vertical GRF loading rate increases with speed independent of the cushioning variations, while another study showed unchanged GRF loading rates with footwear of varying cushioning at different speeds, and yet another study showed lower GRF loading rates in harder midsoles with no dependence on running speed [29,30,31]. Running distance or running duration has been considered by five studies [32,33,34,35,36]. None of the studies found significant footwear-by-time/distance interaction effects on vertical GRF loading rates, ground contact times, peak rearfoot eversion angles, and knee flexion angle at initial contact. One article considered the runner’s foot strike pattern as a covariate [37]. Rearfoot strikers reduced the vertical GRF loading rate in a neutrally cushioned shoe, and mid- and forefoot strikers reduced the vertical GRF loading rate in a minimal shoe [37]. We identified one study considering the stiffness of the running surface as a covariate [38]. However, no main and interaction effects were observed in ground contact time and knee flexion angle at touchdown. Another study analysed the effect of surface inclination and midsole cushioning [39]. The authors showed that vertical GRF loading rates are equal when running on different surfaces with either a neutral or a cushioned running shoe. Although studies have examined a variety of covariates, there is much conjecture in the literature regarding their influence on biomechanical measures related to RRI, and no conclusive evidence to suggest that any one covariate is more important than another.

    When considering the effects of midsole hardness on BRFs without considering covariates, five studies found reduced peak rearfoot eversion in harder midsoles than in softer midsoles [40,41,42,43,44]. However, four studies found unchanged peak rearfoot eversion angles when running in soft and hard midsoles [34, 45,46,47]. Four studies reported that different midsole hardness could not systematically affect the rearfoot eversion range of motion [40, 44, 45, 48]. In contrast, one study found a reduction in the rearfoot eversion range of motion in hard midsoles [47], and another study found that the range of motion of the rearfoot was lower when runners were running in softer midsoles [49]. Conflicting findings were also observed for the rearfoot inversion angle at initial ground contact. One study found a reduction in rearfoot inversion when running in soft midsoles [40], and others found reduced inversion angles when running in hard midsoles [40, 48]. Conflicting findings have also been reported for the vertical GRF loading rate. Some studies found an increased vertical GRF loading rate in more cushioned than less cushioned shoes [29, 34]. Other studies found no effects of cushioning [46, 50,51,52], while others found decreased vertical GRF loading rate in cushioned shoes [41]. Only a few studies were identified addressing the effects of different cushioning characteristics on BRFs at more proximal joints. One article’s qualitative data showed that the knee abduction angle during the stance phase was reduced when running in softer than harder midsoles [53]. In contrast, another study found lower peak knee abduction angles when the midsole was manufactured with harder material [47]. A study by Malisoux and colleagues found that both soft and hard midsoles did not change peak hip abduction angles and moments and peak hip internal rotation angles [45]. When considering ground contact time as BRF for PFPS, most studies found no effect of midsole cushioning [29, 36, 38, 45, 49, 51, 54,55,56]. Overall, studies analyzing BRFs without considering covariates, resulted in inconsistent and conflicting findings. Interestingly, the footwear comfort perception reported by participants tends to be higher in regions where softer material is allocated than in those with harder materials [42, 49, 57, 58].

    In summary, the current literature suggests that the midsole hardness can potentially reduce the overall injury risk when adjusted to the runner’s body mass. Reduction in vertical GRF loading rates and subsequent minimizing PF injury risk could be achieved by individualising midsole cushioning to the runner’s foot strike pattern. Specifically, rearfoot strikers might benefit from cushioned shoes, while fore- and midfoot strikers could find minimal shoes advantageous. The lower vertical GRF loading rates observed in neutral shoes compared to cushioned shoes when running downhill suggest that customised midsole cushioning tailored to a runner’s training terrain could benefit runners with a PF history. Based on the limited literature, surface stiffness, running distance, and fatigue might be less important when individualising midsole hardness. Harder midsoles can reduce BRFs associated with MTSS, TSF, AT (rearfoot eversion movement), and ITBS (ground contact times). Indications that different shoe cushioning may alter vertical GRF loading rates are contradictory, and BRFs at more proximal joints have not been well studied.

    Midsole geometry

    Running footwear is often designed with a height gradient from the heel to the forefoot. Running shoes are defined by their heel and forefoot heights, with the difference between the two known as the heel-toe drop. Unlike neutral or motion-control shoes, minimal footwear is typically designed with a lower heel-toe drop. An increase in footwear minimalism generally shifts the foot strike pattern of rearfoot strikers towards a mid- or forefoot strike pattern, and it is further assumed to reduce impact loading parameters [59, 60].

    We identified eighteen articles investigating the effects of geometrical midsole modifications matching our inclusion criteria (Fig. 4, Supplementary Table 2). Out of the eighteen articles, nine accounted for a covariate. The runner’s experience was considered in one article [61]. During a six-month follow-up, it was shown that occasional runners (< 6 months running experience) had reduced injury rates, and recreational runners (≥ 6 months running experience) had increased injury rates when running in footwear with lower heel-toe drop. A subset of this data demonstrated that midsoles with different heel-toe drops were not able to reduce peak rearfoot eversion angle and ground contact time [62]. However, runners who trained for six months in footwear with higher heel-toe drops increased the peak knee abduction angle. On the contrary, runners who trained for six months in footwear with lower heel-toe drops reduced the peak knee abduction angle. Running surface as a covariate was considered by one study [63]. The researchers found smaller knee flexion angles for larger heel-toe drops when running on a treadmill. However, when running overground, the knee flexion angle was not changed when running in shoes with different heel-toe drops. The authors found that increasing the heel-toe drop led to lower vertical GRF loading rates overground, but decreasing the heel-toe drop reduced vertical GRF loading rates during treadmill running. Different running speeds as a covariate were considered by four articles [64,65,66,67]. One study found no changes in the knee flexion angle at initial contact when running at different speeds in midsoles with different heel-toe drop designs [64]. Another study showed that while ground contact time decreased with increasing speed, increasing the heel-toe drop resulted in increased contact time [65]. Other researchers also showed similar results when systematically altering running speed and heel-toe drop [66]. Running speed did not influence the effects of heel-toe drop modifications on vertical GRF loading rates or time spent in rearfoot eversion [67]. The interaction effects of running time and geometrical midsole modifications were investigated in two studies using the same data set [68, 69]. However, neither of the studies reported interaction effects on included BRFs (rearfoot movement, contact time, and knee flexion angle at initial ground contact). Nevertheless, both studies reported longer ground contact times, lower rearfoot eversion range of motion, and greater knee flexion angles at initial contact in thicker than thinner midsoles.

    Concerning the general effects of midsole geometries on BRFs without considering covariates, most of the included studies have addressed the effect of midsole geometry on GRF parameters. An increase in heel-toe drop has been reported to reduce vertical GRF loading rates [70,71,72,73]. Diverse results have been reported for midsole thickness, for which one study found lower vertical GRF loading rates in thicker than thinner midsoles [74], whereas another study could not identify any differences [75]. Three studies showed that geometrical changes at the midsole do not affect rearfoot inversion at touchdown [68,69,70]. Three articles showed that the knee flexion angle at touchdown remains unchanged independent of geometrical midsole configurations [72, 75, 76]. Only one study collected comfort perception data from fifteen male runners [77]. However, no difference in comfort was observed when the heel-toe drop was systematically altered.

    Summarising the results, individualisation of heel-toe drop based on runner experience may reduce the risk of RRI. Although the underlying biomechanical mechanism remains unknown, a gradual transition from shoes with different heel-to-toe drops may allow adequate adaptation of the biological tissues. Running surfaces can affect the response to heel-toe drop alterations by influencing vertical GRF loading rates and knee flexion angles. Runners with a history of PF training on treadmills may benefit from shoes with a lower heel-toe drop, while those with a history of ITBS may benefit from a higher drop. During fatigue, geometric midsole modifications may not affect rearfoot eversion movement or ground contact times. Thinner midsoles with a lower heel-toe drop may reduce ground contact times, peak rearfoot eversion angle and rearfoot eversion duration. Hence, these modifications might be recommended for runners with a risk or a history of PFPS, TSF, or MTSS. Moreover, thicker midsoles with a higher heel-toe drop might shift BRFs related to AT and PF (rearfoot eversion range of motion and vertical GRF loading rate) to potentially less critical BRF magnitudes.

    Motion control features

    Motion control, also called stability, in footwear refers to how the shoe limits pronation (calcaneal eversion) or supination (calcaneal inversion) during the support phase. Much research has been devoted to FDF that purports to control pronation or eversion motion, motivated by the retrospective observations that increased pronation angle is associated with RRI [10, 78,79,80]. Over the initial period of footwear research, various midsole technologies were designed to increase rearfoot stability, including altering the midsole hardness, location of material inserts, flares, arch support systems, and postings. One of the few identified studies utilized a randomized controlled trial with a six-month follow-up. The findings revealed that recreational runners with a motion control shoe developed fewer RRI than runners receiving a standard running shoe [15]. Interestingly, motion-control shoes’ effectiveness in reducing RRI development was more pronounced for runners with pronated feet, indicating some potential for footwear individualisation.

    Postings

    Postings in athletic footwear incorporate elements with higher material densities in the medial rearfoot region and have been reported to limit rearfoot eversion [81]. Unlike wedges, postings are designed without gradual height differences [82].

    Three of seven articles identified through our literature search considered covariates in their analysis (Fig. 4, Supplementary Table 3). The runner’s age was considered by one article [83]. Medial posts effectively reduced the amount of rearfoot eversion in older compared to younger female runners, while vertical GRF loading rates, peak knee abduction moments, and peak knee internal rotation angles remained unchanged. When considering the runners’ fatigue as a covariate, two articles found that rearfoot eversion movement (peak and range of motion) was lower when running in a medially posted than in a neutral running shoe when the runner’s fatigue increased [84, 85].

    When not considering covariates or subgroups of runners, medial postings can reduce peak rearfoot eversion angles and eversion range of motion [86, 87]. Peak knee internal rotation angles are reported to be reduced when running in footwear with medial postings [83, 88]. However, footwear with postings might increase peak hip abduction moments [89]. Diverse results were found for vertical GRF loading rates. One study found lower vertical GRF loading rates in midsoles without medial posts [87], and another found unchanged vertical GRF loading rates in shoes with and without postings [83]. Some runners have perceived the harder posting material without transitions as uncomfortable, potentially resulting in unwanted changes in their biomechanics [88].

    In summary, older female runners with a history of TSF and MTSS might reduce rearfoot eversion in shoes with postings. However, medial posts do not seem to affect the risk of developing PF independent of the runners’ age since changes in vertical GRF loading rates were not observable. Based on the limited literature, posted midsoles may help minimise BRFs (rearfoot eversion movement) associated with AT, MTSS, or TSF as the runners’ fatigue state increases. The limited literature suggests that individualised postings can help runners with a history of AT, MTSS, TSF, or ITBS to reduce biomechanical risk factors. Since postings might increase vertical GRF loading rates, caution needs to be taken by runners with a history of PF.

    Wedges

    Wedges are sloped orthotic inserts, typically with mediolateral elevation, designed to increase foot stability. Mediolateral elevation under different loading conditions can be achieved by incorporating materials with different mechanical properties at distinguished locations of the wedge [90].

    Three out of the ten articles identified in the literature search included a covariate in their analysis (Fig. 4, Supplementary Table 4). One study considered running duration (0–30 min) as a covariate [91]. Independent of the running duration, medially wedged insoles produced lower knee abduction angular impulses than laterally wedged insoles. Another study considered different standing calcaneal angles and injury history as covariates [92]. However, wearing differently wedged insoles showed no effect on female runners’ 3D knee and hip kinematics. Anterior knee pain as a covariate and the response to differently wedged insoles were considered by one article [93]. Independent of knee pain, running in medially wedged insoles reduced maximal rearfoot eversion and range of motion compared to running in footwear without wedges. None of the studies personalised the wedges to the runner’s individual foot anatomy; instead, they used pre-fabricated wedges, which may have confounded these results.

    Seven articles were identified investigating the effect of wedged insoles on BRFs without considering covariates. In a study in which the wedges were customised to individual dynamic barefoot plantar pressure data, all but two subjects reduced peak rearfoot eversion angles compared to footwear without wedges [94]. This finding suggests that wedges bear high potential when individualised to foot pressure mapping. Pre-fabricated medial wedges have proven effective in decreasing maximal rearfoot eversion angles and eversion range of motion [94,95,96,97]. When comparing footwear with and without wedges, non-systematic changes in vertical GRF loading rates and knee abduction angular impulse have been reported [95, 96, 98, 94, 99, 100]. When the mediolateral elevation was systematically altered, no perceived comfort and stability changes were reported [95]. Moreover, neither medially nor laterally wedged insoles were able to relieve runners of patellofemoral pain [99]. One study introduced forefoot wedges with systematic changes in elevation; however, no changes in ground contact times were reported [101].

    In summary, the response to medially wedged insoles is independent for shorter running durations (< 30 min) but may help runners with a history of PFPS to minimise knee abduction angular impulses; however, the effect for longer running durations (> 30 min) remains unknown. The limited literature shows that joint alignments, injury history, and knee pain are less relevant covariates when individualising wedged insoles. Medially wedged insoles might sufficiently limit rearfoot eversion movement and support runners with a history of AT, TSF, and MTSS to reduce reinjury. To attenuate vertical GRF loading rates, runners with a history of PF might refer to other FDF modifications to reduce the overuse injury risk.

    Arch support systems

    Arch support systems help the foot by storing and releasing elastic energy and preventing arch collapse during high loading [102]. Foot arches can be classified as flat/low, normal, or high [103]. Within the three groups, low-arched runners may exhibit greater eversion movement and velocity than high-arched runners [104]. Arch support systems can be integrated into the midsole or achieved through custom-made insoles shaped into the foot arch [105].

    Our review found seven articles, four of which examined the effect of arch support systems on running biomechanics with a covariate (Fig. 4, Supplementary Table 5). Two studies used foot arch height as the covariate, and they found that high-arched runners reduced vertical GRF loading rates in a shoe without arch support, while low-arched runners reduced loading rates in a shoe with arch support. However, both foot arch types experienced reduced rearfoot eversion in a motion control shoe [106]. With a subset of this data, no changes in rearfoot eversion movements for runners with different foot arch types were observed when running in shoes with and without arch support systems during a prolonged run [107]. One article accounted for the runner’s foot strike pattern and found that rearfoot strikers decreased ground contact time in footwear without arch support [108]. In contrast, forefoot strikers reduced contact time in a shoe with arch support [108]. The same study found that forefoot strikers in minimal footwear reduced vertical GRF loading rates, but rearfoot strikers did not. Furthermore, training for three months in footwear with a custom-made arch support system reduced rearfoot eversion [105].

    We identified three articles investigating the effect of arch support systems on BRFs without considering covariates. A study involving female runners found no effect of arch support on vertical GRF loading rates, peak rearfoot eversion angles, and peak femur rotation angles [46]. Another study also found unchanged rearfoot eversion movements (peak eversion angle and rearfoot inversion at initial ground contact) and knee abduction angles when runners with AT symptoms ran in footwear with and without arch support [109]. Although BRFs were unchanged, a 92% relief of AT symptoms was reported when wearing an insole with custom-made arch support. Finally, one study found unchanged ground contact times when running in midsoles with 20 mm and 24 mm high arch support elevations [101].

    The limited literature suggests that arch support systems can potentially reduce BRFs for runners with different arch heights and a history of PF. Runner’s foot strike pattern might be considered when individualising arch support systems. When individualising arch support systems to minimise BRFs associated with PFPS (ground contact time) and PF (vertical GRF loading rate), forefoot strikers might benefit from less arch support than rearfoot strikers. Moreover, customised arch support systems enhance comfort perception without changes in peak knee abduction angles and vertical GRF loading rates. Arch support might reduce rearfoot eversion movements and thus have the potential for individualisation for runners with a history of AT, TSF, and MTSS. BRFs related to ITBS (peak femur rotation angle and peak knee abduction angles) seem to change marginally and unsystematically with arch support.

    Heel flares

    Flares can be described as a projection of the midsole and outsole extending beyond the upper [25]. Flares can be placed medially or laterally along the outline of the midsole and were introduced to alter the rearfoot eversion angle, thus increasing foot stability by changing the ankle joint moment arm [110,111,112].

    After examining all articles, we identified five matching our inclusion criteria (Fig. 4, Supplementary Table 6). None of these articles investigated the effect of a covariate.

    Concerning BRFs, one study altered the medial heel flare from 0° to 15°, and 30°. The 2D video-based analysis indicated higher rearfoot eversion movement in footwear without heel flares [81]. In the same study, runners running in shoes with the most extreme medial heel flare modification had, on average, lower rearfoot eversion range of motion than in shoes with less or without heel flares. These findings were supported by other research showing that footwear with heel flares can reduce the magnitude of rearfoot eversion across the entire stance phase but does not seem to reduce vertical GRF loading rates [110, 112, 113]. On the contrary, one study with only five runners did not show that rearfoot eversion movement (at initial ground contact, peak, and range of motion) changes when running in footwear with different heel flares [111]. From a perception perspective, heel flares can improve perceived foot stability [112].

    None of the articles considered covariates (e.g., foot strike pattern), highlighting future research potential. Although we found diverse results regarding rearfoot eversion movement, midsoles with heel flares might reduce BRFs linked to AT, TSF, or MTSS. Based on the very limited body of literature, midsoles with heel flares are insufficient for reducing vertical GRF loading rates, and individualised heel flares may not target runners with a history of PF.

    Crash pads

    Crash pads are elements incorporated into the posterior-lateral midsole using softer foams, segmented geometries, air pockets, or gel-filled patches. Crash pads in the rearfoot area aim to attenuate the GRF and reduce the GRF’s lever arm to the ankle joint [114].

    After assessing articles for their eligibility, we identified three articles matching our inclusion criteria (Fig. 4, Supplementary Table 7). Out of the three articles, one study considered the fatigue status of female runners as a covariate. As the runners’ fatigue increased, wearing footwear without crash pads increased vertical GRF loading rates compared to the non-fatigue state. However, running in footwear with crash pads maintained consistent vertical GRF loading rates, even as the runners’ fatigue increased. [115]. The same study found no effect of fatigue on the peak free moment amplitude.

    When not considering covariates, two studies found reduced rearfoot inversion angles at touchdown in footwear with smaller compared to larger crash pad dimensions. However, there were no differences in peak rearfoot eversion angles during the stance phase of running and unsystematic changes in vertical GRF loading rates [114, 116]. Crash pad modifications did not affect the peak free moment amplitude, ground contact time, and rearfoot eversion range of motion [114,115,116]. Changes in crash pad dimensions do not seem to influence the runner’s comfort perception [114]. However, they may provide an essential tool for individualisation to tune midsole cushioning properties without increasing stack height which has been shown to increase rearfoot eversion [81].

    Fatigue seems to be a relevant covariate when individualising crash pads to minimise vertical GRF loading rates, thus, might lower the risk of developing PF. However, runners with a history of TSF might need other individualised FDF to lower peak free moment amplitudes. Increasing crash pad height might help runners with plantar fascia complaints by lowering the vertical GRF loading rates. Runners with a history of AT, TSF, or MTSS might benefit from crash pads by reducing rearfoot eversion movement. Surprisingly, although the FDF aimed at attenuating the peak impulse, we have identified only two studies that have analysed vertical GRF loading rate as BRF.

    Other footwear design features

    Rocker

    Rockers in running shoes aim to reduce the strain on the toes, foot, and ankle by altering the midsole’s curvature in the anterior–posterior direction, positioning the apex near the metatarsal heads, and enhancing the midstance-to-push-off transition for a smoother heel-to-toe rolling motion [117].

    Each of the three identified articles considered a covariate in their analysis (Fig. 4, Supplementary Table 8). One study considered running speeds as a covariate. Although running at higher speeds increases the vertical GRF loading rate, no changes in GRF loading rates were observed between shoes with and without rocker [118]. Two studies considered the foot strike pattern and found that a toe spring starting closer to the midfoot reduced pressure in the forefoot compared to a standard rocker placed at 65% of the shoe length [119]. However, runners perceived the traditional rocker as more comfortable. When compared to shoes without rockers, one study found that a rocker shoe reduced ground contact time but did not affect knee flexion angles at initial ground contact [120].

    The number of studies addressing injury-specific BRFs and the effects of rocker designs is limited. Rockers involve different levels of FDF (stack height, cushioning), and therefore it is difficult to assign a specific feature to a specific BRF. More research is needed to understand if certain covariates can cause a specific change in BRFs and how different FDFs that combine a rocker design need to be tuned for individualisation.

    Outsole profile

    A shoe’s outsole interacts with the running surface and requires attributes like traction, waterproofness, durability, and puncture resistance [121]. Material robustness might be related to running shoe comfort, and high traction might increase free moment amplitudes associated with TSF [122].

    After assessing all articles for eligibility, we could not identify any articles matching our predefined inclusion criteria (Fig. 4). Future studies might use wearable sensors or markerless tracking systems to analyse runners wearing shoes with different outsole profiles on natural surfaces.

    Flex grooves

    Flex grooves and zones are included in outsoles and midsoles to enhance flexibility, facilitating metatarsophalangeal joint movement and shock absorption. Their placement is essential for the joint’s variable axis and should be individualised based on foot measurements. Recent 3D measurements indicate significant variation, underscoring the need for personalized flexible zones [123].

    Our literature search identified one article matching our predefined inclusion criteria (Fig. 4, Supplementary Table 9). This article considered running speed as a covariate. In this study, the midsole flexibility was altered by cuts with different orientations at the heel region. Although interaction effects were only marginal when jogging or running in footwear with different groove designs, a 10% lower vertical GRF loading rate was observed in the midsole with grooves compared to the midsoles without grooves at the rearfoot [124]. Interestingly, footwear with greater flexibility is perceived as more comfortable than midsoles with less flexibility [125, 126].

    While there is limited research on the impact of flex grooves on relevant BRFs for common RRI, one identified article found that they can reduce vertical GRF loading rates, suggesting that flex grooves may be customised for runners with PF.

    Longitudinal bending stiffness

    The longitudinal bending stiffness can impact the running economy by optimising energy return and kinematics of the metatarsal joint and force application [127,128,129,130,131]. The bending stiffness can be modified by adding reinforcement materials or changing the geometry of stiff midsole compounds. The optimal bending stiffness depends on factors such as running speed and body weight [128, 132].

    Our literature search identified eleven articles, of which four accounted for a covariate (Fig. 4, Supplementary Table 10). All four articles considered running speed as a covariate. None of these articles found a significant interaction effect on BRFs when running in footwear with different longitudinal bending stiffness at different running speeds [133,134,135,136]. Independent of running speed, studies reported reduced ground contact times when running in shoes with lower bending stiffness, while one article found unchanged ground contact times [136].

    When not considering covariates, three studies found no changes in the GRF braking impulse when running in shoes with different bending stiffness [135, 137, 138]. On the contrary, a reduction in GRF braking impulse in footwear with higher bending stiffness was found in one study [134]. Eight articles found a reduction in the ground contact time [130, 133,134,135, 137,138,139], and two found unchanged ground contact times [134, 140] when running in midsoles with lower bending stiffness. Although studies found lower vertical GRF loading rates [140] and increased comfort perception [135] when athletes ran in more flexible than stiffer midsoles, the relationship between BRFs and injury development when altering the longitudinal bending stiffness has not been sufficiently studied yet, but first studies have evolved showing that bones stress injuries might increase when switching to footwear with carbon fibre plates [18].

    The limited body of literature suggests that fitting longitudinal bending stiffness to the runner’s needs may help with treating PFPS. While reduced bending stiffness can reduce ground contact time, higher stiffness can reduce ground reaction force braking impulse. However, injury prevention and reinjury risk minimisation under the light of different longitudinal bending stiffness has been insufficiently investigated. Furthermore, flexible midsoles with lower longitudinal bending stiffness might reduce vertical GRF loading rates and potentially help runners with a history of PF.

    The upper

    The running shoe upper is comprised of a textile fabric and lacing system that couple the foot and shoe, with reinforcement materials used for stability and breathability. An optimal fit depends on individual foot morphology, while insufficient coupling can negate benefits from other design features. Moreover, excessive pressure can affect comfort by restricting blood supply, making individualisation important [141]. Since foot dimensions differ across sexes, ages, and ethnic origins, individualised upper bears great potential for individualisation [142].

    Upper fabric

    Our systematic literature search identified two articles investigating the effect of different upper modifications (Fig. 4, Supplementary Table 11). None of the articles considered covariates [53, 143].

    The data indicates that a soft-sewed structured fabric reduces knee abduction angles and vertical GRF loading rates compared to a minimalist heat fusion fabric. Furthermore, the ground contact time was reduced when running in minimalist heat fusion fabric.

    The current body of literature is insufficient to give recommendations for upper individualisation concerning the reduction of BRFs. Based on the limited results, upper materials might be individualised to the runner’s preference.

    Lacing

    Five articles have investigated the effect of lacing on the lower extremity joint biomechanics or subjective comfort perception (Fig. 4, Supplementary Table 12).

    One of five studies considered the runner’s experience as a covariate. The researchers found that low-level runners perceived an irregularly (skipping eyelets) laced running shoe as more stable and comfortable than high-level runners who preferred a regular high and tight lacing pattern [144].

    We identified four studies analysing BRFs without accounting for covariates. According to a study, running shoes with traditional lacing and elastic upper material were perceived as more comfortable than footwear without lacing [145]. When running in shoes with various lacings, two studies found no significant difference in the rearfoot eversion angle at initial contact [145, 146]. The same studies found a reduction in the peak rearfoot eversion angle when running in traditionally laced shoes compared to those without traditional lacing. However, another study systematically changed lacing patterns and could not find any differences in the peak rearfoot eversion angle [147]. Different types of lacing patterns, particularly high- and tightly-laced shoes, have been shown to reduce vertical GRF loading rate at the cost of comfort [144, 148].

    Studies analysing BRFs and considering relevant covariates, e.g., foot shape, are required in the future. Notably, no studies have measured the foot-shoe coupling or the relative movement of the foot within the shoe, highlighting the potential for future research to determine individualised fits and their interactions with other FDF. Since peak rearfoot eversion angles and vertical GRF loading rates are reported to be lower when running in tightly and high-laced shoes, runners with a history of MTSS and TSF might target individualised lacing systems.

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  • PLAR: a combined percutaneous and arthroscopic treatment for iliotibial band syndrome description of surgical technique and short-term results: description of surgical technique and short-term results |  BMC Sports sciences, medicine and rehabilitation

    PLAR: a combined percutaneous and arthroscopic treatment for iliotibial band syndrome description of surgical technique and short-term results: description of surgical technique and short-term results | BMC Sports sciences, medicine and rehabilitation

    Study design

    A prospective case series study was conducted between 01/01/2018 and 31/06/2020. All patients provided informed consent to participate in the study, which was conducted in accordance with institutional standards.

    Patient population

    The patients were enrolled consecutively. The inclusion criteria were all adult distance runners diagnosed with iliotibial band syndrome and with a negative response to non-operative treatment after six months. Distance runners were defined as professional or amateur subjects completing medium (1500 m) and long (marathon and ultra-trail runners) distances.

    The exclusion criteria were: (i) incomplete clinical reports; (ii) non-distance runners; (iii) additional injuries that interfere with running; (iv) bilateral involvement, (v) negative local anesthetic infiltration test; and (vi) revision surgeries after previous ITB procedures.

    The patient must meet all inclusion criteria and none of the exclusion criteria. Before inclusion in the study, all patients completed a preoperative protocol regardless of additional tests performed up to that point.

    Preoperative protocol

    Complete medical history and physical examination were recorded in all patients. A local anesthetic infiltration test was performed, which consisted of an ultrasound-guided sub-iliotibial bursa infiltration with 2 ml of 2% mepivacaine, immediately followed by a 5 km race. If the patient’s symptoms were temporarily relieved during the race, the test was considered positive.

    High-field MRI (≥ 1.5 T) was performed in all cases after the patient had exercised in the 72 hours before the scan, increasing the sensitivity of the imaging technique when edema appeared at the level of the LFC or ITB ( Figure 1 ).

    figure 1
    Figure 1

    Preoperative MRI: coronal (right) and axial (left) images showing edema at the ITB.

    Before the surgical indication, a specific rehabilitation program was performed to optimize conservative treatment with techniques not previously used in the patient, including fascia lata stretching exercises, proximal eccentric muscle training, intra-tissue percutaneous electrolysis and at least three focal shock wave exercises. sessions.

    Independent variables and outcome variables

    Demographic data (age, gender and body mass index -BMI-), comorbidities, athletic discipline, time to surgery and postoperative follow-up time were collected in all patients.

    The intraoperative characteristics (time of ischemia, confirmation of ITBS, identification of concomitant lesions and need for drainage) and intraoperative and postoperative complications were also recorded.

    The main variables of the study were the rate and time of return to the previous sports level, which were reported by patients during follow-up visits. Return to the previous sport level was considered a dichotomous outcome and was defined as participation after undergoing the PLAR technique in at least one race of the same distance as before the injury, at or above the pre-injury competitive level. The return to sport percentage was calculated from the number of athletes who returned to sport, from the number of athletes who underwent the PLAR technique, and expressed as a percentage.

    The secondary variables were the clinical evaluation of the patients based on the Activity Rating Scale (ARS), the International Knee Documentation Committee (IKDC) questionnaire and the level of satisfaction. The results of the ARS and IKDC scales were interpreted as follows: excellent = 95–100 for IKDC and 15–16 for ARS; good = 84–94 for IKDC and 13–14 for ARS; and fair = 65–83 for IKDC and 10–12 for ARS. The level of satisfaction was evaluated in all patients with a poll based on the question: did the operation meet your expectations? The possible answers were: completely satisfied, largely satisfied, somewhat satisfied, dissatisfied.

    Surgical procedure

    All procedures were performed by the same surgeon. The ITBS diagnosis was confirmed intraoperatively by observing a collapse of the space between the LFC and the ITB due to a combination of bursitis and hard fibrotic adhesions that prevented the passage of the arthroscopy optic (Fig. 2).

    Fig. 2
    Figure 2

    Intraoperative view. Fibrotic adhesions between the LFC and the ITB.

    Patients were placed supine on a conventional table with arthroscopic support, during which an ischemia cuff was placed around the thigh and standard aseptic preparation was performed. The LFC, fibular head, Gerdy’s tubercle, and anteromedial (AM) and anterolateral (AL) standard portals were identified and marked.

    The procedure began with routine diagnostic arthroscopy through the AL portal. If there was any doubt about additional lesions, an additional AM portal was used to allow tactile examination of the knee structures. Under direct intra-articular view, the superolateral (SL) portal was prepared using a 16G Abbocath spinal needle (Hospira, Lake Forest, IL, USA) as a guide, always passing through the tendon portion of the vastus lateralis muscle or the capsule, taking care not to perforate the quadriceps muscle tissue (Fig. 3). All portals were prepared with a No. 11 scalpel blade.

    Fig. 3
    figure 3

    Intraoperative view. Superolateral portal (SLP) using a 16G Abbocath spinal needle as a guide

    With the knee in 30° flexion, we initially performed debridement and resection of the lateral synovial recess, using a motorized shaver (Fig. 4) and a vaporizer (90 degrees, model 405Q3, Bonss Medical Tech, Taizhou, Jiangsu, China) (Fig. 5). In patients with ITBS, we can observe abnormal anatomy with increased fibrosis in the lateral synovial recess. Therefore, we consider it of utmost importance to perform a wide resection in this area until we obtain a complete view of the iliotibial band externally and the LFC medially, even including the external meniscal wall in the anterior half, and able are to pass the optic from the anterior to the popliteal tendon in the posterior zone, always preserving the meniscal-tibial and meniscal-femoral ligaments. This procedure was performed primarily from the SL portal under visual control from the AL portal, with reversal of the two portals to complete the release.

    Fig. 4
    figure 4

    Intraoperative view. Loosening the fibrous adhesions in the space between the LFC and ITB using a motorized shaver

    Fig. 5
    figure 5

    Intraoperative view. Releasing the fibrous adhesions in the space between the LFC and ITB using a vaporizer

    The second part of the procedure involved the percutaneous lengthening of the ITB under direct vision by arthroscopy. This was done with controlled knee varus at 30° flexion, seeking a balance between extension and maintenance of muscle function. An 18G 3-mm needle scalpel (Nokor needle; Becton Dickinson and Co., Franklin Lakes, NJ, USA) was used to perform controlled micro-tenotomies as a micro-pie crust technique on the ITB. In all cases they were made longitudinally and parallel to the fibers, and in those cases with greater fibrosis of the ITB, the tenotomies were also made transversely in the posterior third (Fig. 6).

    Fig. 6
    figure 6

    Intraoperative view. Micro-tenotomies on the ITB with an 18G 3 mm needle scalpel

    After completion of the procedure, the skin was closed with Prolene (Ethicon, Inc.) 2/0, and a compressive elastic bandage was placed, with semi-rigid support in the external zone, where a bulge typically forms due to fluid extravasation via the microfibers. -tenotomies. Redon drainage (Fresenius Kabi AG, Bad Homburg, Germany) was used for 12 hours in patients with intraoperative identification of a sub-iliotibial bursa associated with significant vascular infiltration, and in all cases we infiltrated a mixture of corticosteroids and local anesthetic (2 ml Celestone Cronodose + 4 ml 2% mepivacaine).

    Postoperative protocol

    All patients were discharged with full weight bearing assisted by two crutches depending on tolerance.

    Rehabilitation started from the first postoperative day. During the first two weeks, full joint range recovery exercises, isometric exercises, and even post-assisted squats were allowed to minimize muscle atrophy. Between weeks 2 and 4, eccentric muscle training (free, weight-bearing and single-foot squats, as well as frontal and lateral lunge exercises) combined with proprioception exercises using a BOSU ball (both sides up) or an unstable platform was allowed. From weeks 4 to 8, plyometric exercises, elliptical taping, and static cycling exercises were increased, and gentle jumping exercises were allowed depending on tolerance. From the 8th week onwards, and depending on the patient’s muscular and proprioceptive status, we allowed running a distance of 1 km every other day, combining walking and running exercises, and added distance or running exercises every two days. speed increases of 10% if tolerance was found. Good. From the 12th week after the operation, recovery was allowed to continue at the athletics club under the supervision of the coach or physiotherapist.

    Follow-up protocol

    A minimum follow-up of 12 months was performed. Postoperative data were collected in all patients at 15 days, 1, 3, 6 and 12 months and at the end of follow-up (medical discharge). Complications and clinical course were assessed at all visits, while sports performance and the ARS and IKDC questionnaires were assessed at 3, 6 and 12 months, without access to a copy of the scale during the intervening period, to avoid the patient himself – monitoring the recovery and influencing the final result. The level of satisfaction was recorded at the last follow-up visit.

    static analysis

    The statistical analysis was performed using the SPSS® version 22.0 package for Mac (IBM, NY, USA). Statistical significance was considered for p ≤ 0.05 and a statistical power of 90%.

    Standard descriptive statistics including measures of central tendency (mean/median) and variance (standard deviation). [SD]/interquartile range [IQR]) were calculated, as well as frequencies and ratios.

    The preoperative and final follow-up functional scores were compared using the Wilcoxon Signed-Rank test.

    A multiple nonparametric analysis comparing the IKDCS and ACS scales preoperatively and at 6 and 12 months was performed using Friedman’s statistical test.

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  • 10 things to do outside of thanksgiving weekend

    10 things to do outside of thanksgiving weekend

    The Thanksgiving weekend is usually marked by copious amounts of eating and shopping. The tradition of filling your bellies and then lining up in the early morning hours to get your hands on a big screen TV at a low price is why #OptOutside was created. Outdoor retail company REI started the Opt Outside movement to entice people to forego the fate of a normal Black Friday and enjoy the outdoors instead.

    Luckily for us Arizonans, this time of year is the perfect time to enjoy the boundless beauty of our state. If you’re looking for things to do outdoors in Phoenix this Thanksgiving weekend, you’ve come to the right place.

    1. Family Turkey Trot

    Sign up for a local Turkey Trot or organize your own family run. This festive 5K is an excellent way to get your heart pumping and burn some calories before the big meal.

    2. Take a walk during the full moon

    Lost Dutchman State Park is hosting a guided full moon hike in the Superstition Mountains through November 25, 2023. Reservations are required to secure your spot.

    3. Buy Christmas presents outside

    Thanksgiving weekend in Phoenix offers several options and outdoor markets to cross names off your list while enjoying the beautiful outdoors.

    4. Go to a farmer’s market

    While many of the farmers markets in the Phoenix Valley close this holiday weekend, the Uptown Farmers Market in Phoenix is ​​open. Visit the market on Saturday, November 25 from 9am to 1pm to purchase local bread, fresh produce, handmade products and delicious offerings.

    5. Enjoy a picnic

    After grabbing some local bread from the farmer’s market, head home to make some sandwiches with your leftover turkey and cranberry sauce. Pack your sandwiches and enjoy them outside in your favorite local park.

    6. Mountain bike

    If you live in Phoenix, there is no shortage of mountain biking trails to enjoy. If you like to hit the road on two wheels, Thanksgiving weekend is a great time to do so. Work off some of that excess and enjoy the outdoors.

    7. Touch Football Match

    In between watching the matches on television, take a group of friends to the nearest lawn for a game of touch football.

    8. Get on the water

    This time of year the skies are usually azure blue and cloudless and temperatures are in the 70s; in other words, the ingredients for a great day at the lake. Lake Pleasant is just an hour’s drive from Phoenix and offers activities such as boat rentals, stand-up paddle boarding, and kayaking.

    9. Visit an electric cactus garden

    For a unique experience, head to the Desert Botanical Garden to view the Electric Desert exhibit. This outdoor art show includes music and projections of dancing light images on the surrounding flora and fauna. Tickets are required, but you can also see if you can pay for a Cultural Pass at a participating library.

    10. Running

    If you enjoy putting on your running shoes and going for a run, treat yourself to one of the best running trails in the area this Black Friday.

    With all these options for things to do outdoors in Phoenix this Thanksgiving weekend 2018, it’s hard to choose just one. Make it a full weekend outdoors and cross several off the list.

    If you are experiencing pain that keeps you indoors, we can help you. Make an appointment with one of our physiotherapy clinics.

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  • Blood biomarkers for estimating energy intake in Japanese male collegiate athletes: a pilot study |  BMC Sports sciences, medicine and rehabilitation

    Blood biomarkers for estimating energy intake in Japanese male collegiate athletes: a pilot study | BMC Sports sciences, medicine and rehabilitation

    Study design and participants

    This observational cross-sectional study was approved by the Juntendo University Ethics Committee (approval no.: 29-82, date: September 11, 2017) and the Wayo Women’s University Ethics Committee for Biological and Epidemiological Studies directed at humans (approval no.: 1851 , date: April 5, 2019) and was conducted in accordance with the Declaration of Helsinki. All participants were informed about the benefits and risks of participating in the study before obtaining written informed consent. All participants signed an institutionally approved informed consent form.

    The minimum sample size was initially calculated at 25 participants, with an α level of 0.05 (two-sided), a power of 0.90, an effect size (f2) of 0.5 (large) [8]and 2–11 independent variables included in the multiple regression analysis [9]. Twenty-eight male athletes from the sports club of Juntendo University Faculty of Sports and Health Sciences participated in this study from July to August 2019. (a) Male students, (b) those who joined the club to improve competitiveness, and (c) those without a current serious clinical condition were included in the study. The athletes took part in athletics (throwing and decathlon), handball and basketball competitions. Participants were recruited through club announcements. The screening procedure included assessment of exercise history and self-reported medical history. In addition, height, weight, and body composition were assessed using dual-energy X-ray absorptiometry [DXA]), EI based on BMR, and blood components based on blood tests after a certain period of fasting. A two-week nutritional study was conducted. Two participants whose blood samples showed abnormal values ​​were excluded. Finally, data from 26 participants were analyzed.

    Anthropometry and DXA

    Total body mass was measured to the nearest 0.1 kg on a medical scale (HBF-212, TANITA Inc., Tokyo, Japan), while height was measured to the nearest 0.1 cm using a stadiometer (YG-200 , YAGAMI Inc., Nagoya, Japan). Body composition (body fat percentage and lean mass [FFM]) was measured by a trained radiologist using a Hologic QDR 4500 DXA scanner (Hologic, Inc., Bedford, MA). The intra- and inter-instrument reliability of the DXA method has been reported in previous studies [10, 11].

    The equipment was calibrated daily according to the manufacturer’s instructions. All scans were analyzed using Hologic QDR version 12.1 software (Hologic, Inc.). Based on the results of the DXA analyses, the head area was excluded and the FFM and body fat mass were determined. To determine the technician’s error in using the software to estimate body composition, the technician analyzed ten full-body scans twice using the same method. Based on the results of the measurement, the following were technical errors (absolute and relative errors): FFM (0.067 kg and 0.11%) and fat mass (0.070 kg and 0.76%).

    Three-day nutrition report

    Trained registered dietitians provided participants with written and verbal instructions on how to complete the 3-day nutrition record (DR) [12]. The analysis of nutritional intake was carried out by a certified sports dietitian, regardless of the participants’ sports club, and the results were not shared with the team leaders. The participants were asked to report their nutritional intake honestly.

    As part of the DR, participants were asked to record the meal, its location, and all food and drinks consumed (except water) for three consecutive days. To maximize feasibility, intake was recorded for 3 days, 2 days with training and 1 day without training, but not on days with special events (e.g. birthdays or championship match days). The DR form included meal time, meal location, name of the dish, ingredients in the dish, and total amount of food consumed. The participants were asked to keep track of the food and drinks they consumed from the time they got up to the time they went to bed, including supplements and drinks.

    In addition, detailed information was also recorded on associations (presence or absence of oil, etc.), dairy products (skimmed milk, etc.) and intake amounts. Participants were asked to record as much information as possible, including portion size consumed and details of any leftovers, using household measurements (e.g. cups, pieces, tablespoons and weight). At the same time, participants took photos of all food and drinks next to scale cards (length: 9 cm; width: 5.5 cm, with 1 cm graduations) using their smartphone cameras. For purchased food items, additional photos were requested with the product name and food label. The photos were sent immediately to the email addresses provided.

    Based on the DRs and meal photos, a registered dietitian (certified sports dietitian) analyzed energy and nutrient intake using nutritional analysis software (Calorie Make, version 1.0.10 and Nutrition Navigation, version 5.3.0; Toyo System Science Co., Ltd., Kanagawa, Japan).

    Determination of basal metabolism

    The FFM measured with DXA was considered as lean body mass (LBM). BMR was estimated from the calculated LBM, using the following formula from the Japan Institute of Sports Sciences (JISS): 28.5 kcal/kg LBM [13]. The EI/BMR ratio was set as the outcome variable.

    Blood samples

    Fasting blood samples were collected from the antecubital vein without stasis. The analyzed parameters included a total of 36 items related to the following: serum protein, amino acid and nitrogen compound, iron metabolism, serum enzyme, glucose metabolism, serum lipids, blood cells, pituitary hormone, thyroid hormone, adrenocortical hormone, gonadal hormones. hormone and other bioactivities. All tests were performed in a commercial laboratory (SRL Inc., Tokyo, Japan).

    static analysis

    SPSS Statistics version 26.0 (IBM Corp., Armonk, NY) was used for all statistical analyses. Descriptive statistics were calculated for each variable and indicated as the mean (standard deviation). [SD]) and the median values ​​(first and third quartiles, Q1 and Q3). The normality of the data distribution was verified using the Shapiro-Wilk test. Non-normally distributed variables were then log-transformed and used in subsequent analyses.

    Among the 36 selected blood biomarkers, we confirmed the pairwise correlation and excluded when the Pearson correlation coefficient between two independent variables was >0.6. As a result, 18 independent variables were pre-selected and dietary EI/BMR variables were included in the multiple regression analysis (the stepwise) analysis as predictive variables to obtain the best model for predicting EI/BMR based on the selected biomarkers.

    Before multiple regression, multicollinearity was assessed for each independent variable. Multicollinearity was evaluated using the variance inflation factor (VIF), which was defined as the inverse of tolerance. A VIF of > 5.0 indicates multicollinearity between two variables in a regression model [14]. The degree of agreement between the estimation formula and the nutritional assessment results was confirmed by performing a Bland-Altman analysis [15]. a Pvalue of <0.05 was considered significant. The data for regression analysis met the assumptions of homoscedasticity, independence, normality, and linearity.

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  • Comment on Fresh air can help improve performance.  by Jordan Reed

    Comment on Fresh air can help improve performance. by Jordan Reed

    Jordan Reed- I am not currently monitoring air pollution/quality in my area. I’ve been more aware of it lately because of the fires that have been happening in Canada. Seeing the enormous effect it has had not only on the land, but also in the air. It has spread all the way to my home state of Virginia. I think if you live somewhere where air quality is a concern, you should be aware of it and monitor it daily, especially if you have athletes participating in outdoor sports. Long-term effects can occur due to poor air quality and it is not ideal for people to regularly breathe outside. If the air quality is poor, as a future Athletic Trainer there must be other places where the team/individual can participate and/or practice. It is preferable to ensure that these areas are available and ready for use, as air quality can change quickly.

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  • Influence of the 2000-meter ergometer test on indirect markers of intestinal injury in competitive elite rowers in different training phases  BMC Sports sciences, medicine and rehabilitation

    Influence of the 2000-meter ergometer test on indirect markers of intestinal injury in competitive elite rowers in different training phases BMC Sports sciences, medicine and rehabilitation

    Attendees

    Eighteen male members of the National Polish Rowing Team (heavyweight rowers) were recruited, but only 10 met the inclusion criteria and participated in the study; all participants completed the two ergometer tests of 2000 meters. Before each test, anthropometric parameters were assessed using an electronic scale to the nearest 0.05 kg (Tanita BC-980 MA, Tanita Corporation, Tokyo, Japan). The results are shown in Table 1. The study was conducted by following the Declaration of Helsinki. The study protocol was approved by the local ethics committee of Poznań University of Medical Sciences (decision No. 314/22 in 2022). All participants were informed of the study procedures and gave their written consent.

    Table 1 The anthropometric characteristics of the participants (in the morning after an overnight fast before tests I and II).

    Inclusion criteria

    The inclusion criteria were a minimum of 5 years of training, a minimum total training time of 240 minutes per week, membership of the Polish rowing team and completion of the 2000 meter ergometer test.

    Exclusion criteria

    The exclusion criteria were antibiotic therapy, probiotics, prebiotics, metformin, dietary regimen, and health problems in the past three months.

    Training program

    The exercise profile, including intensity, volume (in minutes), and type (specific, i.e., rowing: endurance, speed, technical; and nonspecific: strength, jogging), was recorded daily. In addition, the intensity of the training was classified based on the LA threshold (4 mmol/l): an extensive (below the LA threshold) or an intensive (above the LA threshold) workload (Table 2).

    Table 2 Pre-test training program

    Food intake

    Total food intake was analyzed by a dietitian before each test using the 24-hour dietary recall method. The dietitian carefully checked each questionnaire and was available to participants during all meals. Energy, carbohydrates, proteins and fats were then measured via the commercially available DietetykPro program (DietetykPro, Wrocław, Poland).

    figure 1
    Figure 1

    The research design and timeline

    Exercise test

    For tests I and II, the athletes performed a controlled test at a distance of 2000 m (Fig. 1). The break between tests was almost 10 weeks (68 days). Test I was conducted at the beginning of the preparatory phase, while Test II was conducted at the beginning of the competitive phase. The participants rowed a distance of 2000 m as quickly as possible on the ergometer (Concept II, USA), as the test results were taken into account when selecting for the champion team. The athletes were therefore highly motivated to perform both tests with maximum effort. The exercise test was performed every day at 10:00 am. Before the test, participants ate a small, light meal and were hydrated (Table 1). Before testing, each participant completed an individual 5-minute warm-up.

    Collect and research material

    Samples were collected at the same three time points: before (before training), after an overnight fast; Post (immediately after training) and recovery (after 1 hour of recovery) for tests I II.

    Blood samples were collected from the antecubital vein into 9 ml polyethylene tubes (to obtain serum) and centrifuged at 3000 rpm for 10 minutes. The serum was frozen and stored at −80°C until analysis. In addition, capillary blood samples were collected from the earlobe before and immediately after the exercise test to assess LA levels.

    Dimensions

    Serum zonulin, intestinal fatty acid binding protein (I-FABP), LPS, LBP, and interleukin 6 (IL-6) were measured using commercially available enzyme-linked immunosorbent assays (ELISAs; SunRed Biotechnology Company, Shanghai, China). The test range was 0.25–70 ng/ml for zonulin, 0.3–80 ng/ml for I-FABP, 12–4000 endotoxin units (EU)/l for LPS, 0.2–60 µg/ml for LBP and 1–300 ng/l for IL-6. In addition, LA in capillary blood was measured immediately after sampling using a commercially available kit (Diaglobal, Berlin, Germany). The LA concentrations are presented as mmol/l.

    static analysis

    Statistical analysis was performed using GraphPad Prism 9 (GraphPad Software, USA). Descriptive statistics such as mean and standard deviation were used to identify patterns and trends. To investigate whether the variables had a normal distribution, the Shapiro-Wilk test was performed. To measure the equality of variances, the Brown-Forsythe test was used. One-way repeated measures analysis of variance (ANOVA), with Tukey’s post hoc analysis, was used to assess differences in measured variables from the three assessment points (Pre, Post, and Recovery) for Tests I and II. A t test was used to compare food intake, anthropometric characteristics and 2000-m test results (power, time and LA) between tests I and II. Cohen’s d was calculated to determine effect size. It was interpreted as small (0.2), moderate (0.5), or large (0.8) (Cohen, 1988). For correlation analysis, Pearson linear correlation coefficients were calculated. Significance of all statistical analyzes was set at p ≤ 0.05. Based on a power analysis, all tests that produced significant results had a power above 0.9, as calculated by G Power 3.1(G Power, (13).

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  • Testing the athletic shoulder with Ben Ashworth

    Testing the athletic shoulder with Ben Ashworth

    Standardized tests are often performed in the health and performance world to establish baselines, monitor performance, or help an athlete return to sports.

    The lower extremity has received the most attention, but the ASH test, or athletic shoulder test, popularized by Ben Ashworth, is a great option for the upper extremity.

    In this episode I talk to Ben about the ASH test and how to best use it for both rehabilitation and performance.

    Special offer for Ben’s online courses

    ben asworth athletic shoulder online course

    Plus, Ben was super friendly and gets a great discount on his new online courses on testing and training the athletic shoulder! Click the button below and make sure you use the coupon code REYNOLD at checkout!

    https://mikereinold.com/athleticshoulder/

    Show notes

    Ben works as a consultant with teams and individuals to solve shoulder performance issues. He has over twenty years of experience as a practitioner with Masters degrees in both Physiotherapy and Strength & Conditioning.

    Social tools for COS:
    – Instagram: @athleticshoulder



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