The American College of Sports Medicine has included a description of the components of physical fitness (PF) in their publications for 40 yr. Because new scientific evidence has emerged, the American College of Sports Medicine convened a scientific roundtable to reexamine the components of PF. The scientific roundtable agreed upon standardized definitions and an updated evidence-informed model of PF consisting of five interconnected components of PF: 1) cardiorespiratory fitness, 2) muscular fitness, 3) body composition, 4) neuromotor fitness, and 5) flexibility, with muscular fitness, body composition, and neuromotor fitness further separated into subcomponents. These components met four inclusion criteria: they 1) are changeable by exercise, 2) affect the ability to participate in physical activity or exercise, 3) contribute to health, and 4) can be feasibly assessed in professional practice. Additional overriding themes that emerged from the scientific roundtable included the complexity of PF and the interrelated nature of the components. Furthermore, it was agreed that when applied in practice, PF is best addressed in an individualized manner. Therefore, the components of PF should be considered dynamic as the focus on any given component can shift when considering individual needs, goals, health status, and priorities/interests.

To evaluate the effects of aerobic exercise (AE) versus resistance training (RT) on cardiometabolic health-related outcomes in patients with type 2 diabetes mellitus and concurrent obesity (diabesity). Systematic review and meta-analysis of randomized controlled trials (RCTs). PubMed, Web of Science, Scopus, ScienceDirect, Cochrane Library, and Google Scholar databases were searched from inception up to April 2026. RCTs comparing AE and RT for a minimum duration of two weeks. Participants were adults with diabesity. A total of 23 RCTs qualified, involving 1, 184 patients (58/42 women/men ratio; age range: 30-70 years; body mass index: 32.1 ± 6.6 kg/m2). AE appears to be more efficacious than RT in reducing fasting blood glucose (mean differences (MD) = -0.89 mmol/L, 95% CI: -1.62 to -0.16; I2 = 0%) and increasing cardiorespiratory fitness (MD = 1.78 mL/kg/min, 95% CI: 0.38 to 3.18; I2 = 66%). However, AE led to a greater increase in body fat (MD = 0.34%, 95% CI: 0.10 to 0.57; I2 = 1%) and less fat-free mass retention (MD = -0.86 kg, 95% CI: -1.46 to -0.26; I2 = 37%) compared with RT. For selected cardiometabolic health-related outcomes, including anthropometrics, blood lipids, and hemodynamics, no statistically significant between-group difference was detected. The overall certainty of the evidence across outcomes ranged from high to very low, with most being moderate. In adults with diabesity, AE appears to provide greater benefits for FBG and CRF, whereas RT appears more favorable for preserving FFM and improving BF. For the majority of cardiometabolic outcomes, the two modalities exhibit analogous effects. The present findings support a goal-directed and complementary approach to exercise prescription, as opposed to a one-modality-fits-all model, for the improvement of cardiometabolic health in patients with diabesity.

To evaluate the effects of high-intensity interval training (HIIT) on cardiometabolic health-related outcomes in patients with type 2 diabetes mellitus and concurrent overweight/obesity (diabesity). Systematic review and meta-analysis of randomized controlled trials (RCTs). PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar databases were searched from inception up to January 31, 2025. RCTs comparing HIIT alone ≥ 2 weeks in duration with moderate-intensity continuous training (MICT). Participants were adults with diabesity. A total of 26 RCTs qualified, involving 790 patients (50/50 female/male ratio; age: 59.8 ± 12.9 years; body mass index: 28.9 ± 4.2 kg/m2). HIIT revealed a significant reduction in fasting insulin [standardized mean differences (SMD) − 0.43, 95 https://osf.io/9by24

PURPOSE:This systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to evaluate the effects of aerobic exercise on cardiometabolic health-related indices in patients with type 2 diabetes and concurrent overweight/obesity (diabesity). METHODS:PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar databases were searched from inception to October 2024. The search strategy included the following keywords: diabetes, aerobic exercise, and endurance training. RCTs comparing aerobic exercise training ≥2 weeks in duration to standard treatment were considered eligible. Participants were adults with diabesity. RESULTS:A total of 1391 middle-aged/older adult patients (55 % females) were included in 34 RCTs. Body mass index [standardized mean differences (SMD) -0.18 kg/m2, 95 % confidence intervals (CI) -0.36 to -0.01]. waist circumference (SMD -0.23 cm, 95 % CI -0.44 to -0.03), body fat (SMD -0.30 %, 95 % CI -0.59 to -0.01), fasting blood glucose (SMD -0.49 mmol/L, 95 % CI -0.72 to -0.27), glycated hemoglobin (SMD -0.79 %, 95 % CI -1.17 to -0.41), fasting insulin (SMD -0.44 mIU/L, 95 % CI -0.72 to -0.15), homeostatic model assessment for insulin resistance (SMD -0.72, 95 % CI -1.09 to -0.35), high-density lipoprotein cholesterol (SMD 0.32 mg/dL, 95 % CI 0.01 to 0.63), triglycerides (SMD -0.33 mg/dL, 95 % CI -0.63 to -0.04), and total cholesterol (SMD -0.28 mg/dL, 95 % CI -0.47 to -0.10) improved compared with standard treatment. CONCLUSIONS:These results underscore the beneficial role of aerobic exercise as a non-pharmacological intervention in managing and treating patients with diabesity when compared to standard treatment, despite the presence of considerable uncertainty in several outcomes.

OBJECTIVE:To evaluate the effects of resistance training on cardiometabolic health-related outcomes in patients with type 2 diabetes mellitus (T2DM) and overweight/obesity. DESIGN:Systematic review and meta-analysis of randomised controlled trials (RCTs). DATA SOURCES:PubMed, Web of Science, Scopus, Science Direct, Cochrane Library and Google Scholar databases were searched from inception up to May 2024. The search strategy included the following keywords: diabetes, resistance exercise and strength training. ELIGIBILITY CRITERIA FOR SELECTING STUDIES:RCTs published in English comparing resistance training alone with non-exercising standard treatment. Participants were adults diagnosed with T2DM and concurrent overweight/obesity (body mass index (BMI) ≥25 kg/m2). RESULTS:A total of 18 RCTs qualified involving 1180 patients (48.6/51.4 female/male ratio; 63.3±7.0 years; 29.3±4.3 kg/m2). Waist circumference (standardised mean differences (SMD) -0.85 cm, 95% CI -1.66 to -0.04), waist-to-hip ratio (SMD -0.72, 95% CI -1.30 to -0.15), high-density lipoprotein cholesterol (SMD +0.40 mg/dL, 95% CI 0.07 to -0.72), triglycerides (SMD -0.54 mg/dL, 95% CI -1.06 to -0.02), fasting blood glucose (SMD -0.65 mmol/L, 95% CI -1.19 to -0.12), fasting insulin (SMD -0.74 uIU/mL, 95% CI -1.12 to -0.36) and glycated haemoglobin (SMD -0.32%, 95% CI -0.63 to -0.01) improved compared with standard treatment. The risk of bias was low to unclear, and the quality of evidence was very low to moderate. CONCLUSIONS:Resistance training as a standalone exercise intervention in the management and treatment of T2DM with concurrent overweight/obesity is associated with many cardiometabolic benefits when compared with standard treatment without exercise. PROSPERO REGISTRATION NUMBER:CRD42022355612.

This systematic review and meta-analysis aimed to evaluate the effects of high-intensity interval training (HIIT) on cardiometabolic health-related outcomes in patients with type 2 diabetes and obesity (diabesity). PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar databases were searched from inception up to November 2024. The search strategy encompassed the following keywords: diabetes, obesity, and HIIT. Randomized controlled trials (RCTs) recruiting adult participants with diabesity and comparing HIIT per se for ≥ 2 weeks in duration with non-exercise standard treatment were included. A total of 18 RCTs qualified involving 504 patients (52/48 women/men ratio; 55.0 ± 11.8 years; 31.0 ± 6.9 kg/m2). Body mass [standardized mean differences (SMD) -0.36 kg, 95 https://osf.io/rtb42

BACKGROUND AND AIMS:High-sensitivity C-reactive protein (hs-CRP) is associated with many diseases, especially cardiovascular disease (CVD). Research into the independent and integrated relationships of physical activity and diet quality with hs-CRP across sex-specific cohorts is lacking. METHODS AND RESULTS:National Health and Nutrition Examination Survey data (2015-2018) was used to examine the relationship between physical activity and diet quality with hs-CRP and hs-CRP classified CVD risk using multiple multinormal logistic regression adjusted for covariates including demographics. Physical activity was measured using a self-reported survey and further categorized to those who met (MPAR) or did not meet (NPAR) national recommendations. Diet quality was measured using the Healthy Eating Index-2015, and further categorized to higher (HDQ) and lower (LDQ) diet quality. hs-CRP was also categorized as low, average, and high CVD risk using established cut-points. Physical activity was inversely related to hs-CRP in males (p < 0.001) whereas diet quality was inversely related to hs-CRP in females (p = 0.031). Compared to those with NPAR and LDQ, the hs-CRP for males with NPAR and HDQ and females with MPAR and HDQ was 1.18 mg/L and 0.75 mg/L lower respectively. Although, diet quality was inversely associated with high CVD risk in both sexes (p < 0.05), the lowest proportion of high and average CVD risk was observed in males and females with MPAR and HDQ. CONCLUSION:Physical activity and diet-quality lowered CVD risk regardless of sex. However, the independent effects of physical activity and diet quality on hs-CPR differs between sexes.

Introduction This study examined the relationship between fat distribution and diabetes by sex-specific racial/ethnic groups. Methods A secondary data analysis of National Health and Nutrition Examination Survey 2011–2018 data ( n = 11,972) was completed. Key variables examined were visceral adipose tissue area (VATA), subcutaneous fat area (SFA), diabetes prevalence, and race/ethnicity. The association of VATA and SFA and diabetes prevalence was examined separately and simultaneously using multiple logistic regression. Bonferroni corrections were applied to all multiple comparisons between racial/ethnic groups. All analyses were adjusted for demographics and muscle mass. Results VATA was positively associated with diabetes in both sexes ( p < 0.001) and across all racial/ethnic groups ( p < 0.05) except Black females. No statistically significant relationships were observed between SFA and diabetes while accounting for VATA with the exception of White females ( p = 0.032). When comparing racial/ethnic groups, the relationship between VATA and diabetes was stronger in White and Hispanic females than in Black females ( p < 0.005) while the relationship between SFA and diabetes did not differ between any racial/ethnic groups. Conclusion This study found that VATA is associated with diabetes for both sexes across almost all racial/ethnic groups independent of SFA whereas the only significant relationship between SFA and diabetes, independent of VATA, was observed in White females. The findings indicated that visceral fat was more strongly associated with diabetes than subcutaneous. Additionally, there are health disparities in sex-specific racial/ethnic groups thus further study is warranted.

Physical activity policy can play a crucial role in ensuring that individuals, communities, and societies can obtain the wide range of health benefits associated with regular physical activity participation. Policies such as Title IX, the Americans With Disabilities Act, and state physical education laws have all increased opportunities for millions of Americans to participate in physical activity. With that said, how policies are developed and implemented vary considerably. The purpose of this manuscript is to contrast an academic conceptual framework with a pragmatic approach for policy implementation. In an ideal world, polices would be developed from foundational knowledge, scaled up to community-level interventions, and implemented in a sequential fashion. However, policy implementation is a disorderly process that requires a practical methodology. The National Physical Activity Plan encompasses strategies and tactics across 10 key societal sectors—and highlights the disorderly process of policy implementation across the various sectors.

Background and aims: Abdominal adiposity indices have stronger associations with cardiometabolic risk factors compared to anthropometric measures but are rarely used in large scale studies due to the cost and efficiency. The aim of this study is to establish sex and race/ ethnicity specific reference equations using anthropometric measures.Methods and results: A secondary data analysis (n Z 6589) of healthy adults was conducted using data from National Health and Nutrition Examination Survey 2011-2018. Variables included in the analyses were anthropometric measures (height; weight; waist circumference, WC) and abdominal adiposity indices (android percent fat; android to gynoid ratio, A/G ratio; visceral adipose tissue area, VATA; visceral to subcutaneous adipose area ratio, VSR). Multivariable prediction models were developed using quantile regression. Bland-Altman was used for external validation of prediction models. Reference equations to estimate android percent fat, A/G ratio, VATA and VSR from anthropometric measurements were developed using a randomly selected subsample of 4613. These reference equations for four abdominal adiposity indices were then cross-validated in the remaining subsample of 1976. The measured and predicted android percent fat, A/G ratio, VATA and VSR were not statistically different (p > 0.05) except for the A/G ratio in Asian males and VSR in White females. The results of Bland-Altman further revealed that >93% of predicted abdominal adiposity indices fell within the limits of agreement (& PLUSMN;1.96 standard deviation).Conclusion: The sex and race/ethnicity specific reference equations for abdominal adiposity indices established using anthropometrics in the present study have strong predictive ability in US healthy adults.& COPY; 2023 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.

This cross-sectional study explored differences in the receipt of health care provider (HCP) counseling to control/lose weight and adopt weight-related lifestyle behavior changes among Hispanic respondents according to acculturation level. Differences in reported action regarding HCP counseling were also examined. Data from four National Health and Nutrition Examination Survey (NHANES) cycles (2011–2018) were analyzed, with the analytic sample limited to Hispanic respondents who were overweight/obese. Respondents’ acculturation levels were derived from their reported country of origin and the primary language spoken at home. Respondents who reported speaking only Spanish or more Spanish than English at home were classified as primarily speaking Spanish at home. In contrast, those who reported speaking Spanish and English equally, more English than Spanish, or only English were categorized as primarily speaking English at home. Weighted multivariate logistic regression models were utilized to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine if differences in acculturation levels existed regarding the likelihood of receiving HCP counseling to (1) control/lose weight, (2) increase exercise/PA, and (3) reduce fat/calorie intake. Similar analyses examined differences in reported action regarding HCP counseling according to acculturation level. The analysis found no significant differences in receiving HCP counseling according to acculturation level. However, non-US-born respondents who primarily spoke Spanish at home were less likely than US-born respondents to report acting to control/lose weight (p = 0.009) or increase exercise/PA (p = 0.048), but were more likely to report having taken action to reduce fat/calorie intake (p = 0.016). This study revealed differences between acting on recommendations of health care professionals according to acculturation level, indicating a need for interventions tailored to acculturation levels.

Apply It!center dot Understand the importance of accurate measures of heart rate during submaximal exercise testing to estimate the client's V?O-2max.center dot Delineate the most appropriate formula to estimate maximal heart rate for a given population to provide more accurate exercise intensity prescriptions.center dot Identify ways to reduce the error in estimating V?O-2max when using submaximal exercise testing.

PURPOSE: To examine the independent contribution of muscle fatigue to physical function (PF) performance in middle-aged women. METHODS: In this cross-sectional study, 104 middle-aged women (52.93 ± 6.10 years; BMI =26.38 ± 5.10 kg/m2) were assessed for muscle fatigue performance using a 25-repetition fatiguing knee flexion and extension task at 180 degrees per second. Muscle fatigue index (MFI) was calculated as the decline in peak torque from the first three repetitions to the last three repetitions. PF was objectively measured via the transfer task, 8-foot-up-and-go, 30-second chair stands, 6-minute-walk-test, and the lift-and-carry. A lower-extremity PF composite score also was calculated. Moderate to vigorous physical activity (MVPA) was measured using accelerometry and physical activity logs, while whole body and regional composition were measured using Dual Energy X-ray Absorptiometry. Muscle strength was assessed using isokinetic dynamometry for isometric knee flexion and extension at 60 degrees, and isokinetic knee flexion and extension at 60 degrees per second and 180 degrees per second, and muscle quality (MQ) was calculated as muscle strength normalized for thigh lean mass. The data were analyzed using bivariate correlation and hierarchical linear regression, with a p-value of less than 0.05 used to establish significance. RESULTS: When controlling for age, percent body fat, muscle quality, and MVPA per day, MFI was significantly associated with transfer task performance (r = .260, p < 0.05), and higher MFI was associated with slower transfer task time. While MFI contributed to 3.5% of the variance in transfer task performance (p = 0.024), percent body fat contributed to 19.4% of the variance (p = 0.001). Percent body fat was most highly associated with all measures of PF. CONCLUSIONS: The strength of the association between MFI and PF performance decreased when other independent variables (percent body fat, MVPA, MQ) were considered. Therefore, muscle fatigue may be a less important target for intervention in this population, while reducing percent body fat may be most influential in improving physical functional performance in middle-aged women.

The purpose of this study was to examine demographic-specific relationships between direct abdominal fat measures and anthropometric indices. A cross-sectional study was conducted utilizing abdominal fat measures (visceral fat area, VFA; visceral to subcutaneous adipose area ratio, VSR) and anthropometrics (body mass index, BMI; waist circumference, WC) data from the 2011–2018 National Health and Nutrition Examination Survey. Linear or polynomial linear regression models were used to examine the relationships of abdominal fat measures to anthropometrics with adjustment for demographics. The results revealed that while VFA was linearly related to BMI and WC across all demographics (p < 0.001), the relationships between VSR and both BMI and WC were concave in men and convex in women. The relationships between VFA, VSR, and BMI, WC varied by sex and race/ethnicity. In conclusion, increasing BMI and WC were linearly associated with increased VFA, but their relationships with VSR were nonlinear and differed by sex.

Background: Although regular exercise is recommended for preventing and treating overweight/obesity, the most effective exercise type for improving cardiometabolic health in individuals with overweight/obesity remains largely undecided. This network meta-analysis aimed to evaluate and rank the comparative efficacy of 5 exercise modalities on cardiometabolic health measures in individuals with overweight/obesity. Methods: A database search was conducted in MEDLINE, Embase, Scopus, and Web of Science from inception up to September 2020. The review focused on randomized controlled trials involving exercise interventions consisting of continuous endurance training, interval training, resistance training, combined aerobic and resistance training (combined training), and hybrid-type training. Exercise interventions aimed to improve somatometric variables, body composition, lipid metabolism, glucose control, blood pressure, cardiorespiratory fitness, and muscular strength. The Cochrane risk of bias tool was used to evaluate eligible studies. A random-effects network meta-analysis was performed within a frequentist framework. The intervention ranking was carried out using a Bayesian model where mean and SD were equal to the respective frequentist estimates. Results: A total of 4331 participants (59% female; mean age: 38.7±12.3 years) from 81 studies were included. Combined training was the most effective modality and hybrid-type training the second most effective in improving cardiometabolic health-related outcomes in these populations suggesting a higher efficacy for multicomponent exercise interventions compared to single-component modalities, that is, continuous endurance training, interval training, and resistance training. A subgroup analysis revealed that the effects from different exercise types were mediated by gender. Conclusions: These findings corroborate the latest guidelines on exercise for individuals with overweight/obesity highlighting the importance of a multicomponent exercise approach to improve cardiometabolic health. Physicians and healthcare professionals should consider prescribing multicomponent exercise interventions to adults with overweight/obesity to maximize clinical outcomes. Registration: URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42020202647

PurposeThe age-related decline in physical function is ameliorated by physical activity; however, less is known about changes in physical function in active vs. inactive older women. The purpose of this study was to determine the longitudinal associations between physical activity and physical function in community-dwelling older women.Methods238 participants (age 79.0 ± 5.1) were dichotomized into two activity groups [inactive (IG); n = 144 or active (AG); n = 94] based on self-reported exercise at baseline. Repeated measures ANCOVA, controlling for age, measured differences in physical function between activity groups at baseline and 48-months using the Timed Up and Go, 30-s chair stand, and 30-second arm curl. Differences in Timed Up and Go classification [normal (≤ 8.23 s); preclinical limitations/limited physical function (>8.23 s)] were analyzed using chi-square tests for activity group and for activity-age group (AG, <80 years; AG, ≥ 80 years; IG, <80 years; IG, ≥ 80 years).ResultsThe repeated measures ANCOVA yielded a significant main effect for activity group for the Timed Up and Go (p = 0.006), 30-s chair stand (p = 0.002) and 30 s arm curl (p = 0.007) and a significant time main effect for the Timed Up and Go (p = 0.016). There were no significant group by time interactions. A larger proportion of the IG than the AG (58.2 vs. 86.5%, respectively) had Timed Up and Go scores >8.23 s (p < 0.001). At 48-months, individuals in the AG were more likely to have normal Timed Up and Go scores compared to those in the IG in both age groups [χ(3, N=236)2 = 42.56, p < 0.001].ConclusionOlder women who engaged in regular exercise at baseline had higher levels of objectively measured physical function and were less likely to have abnormal Timed Up and Go scores. These findings help illustrate the long-term benefit of exercise on physical function in older women.

Background Informal caregivers providing unpaid assistance may be vulnerable to changes in health behaviors due to modifications in caregiving during the COVID-19 pandemic. Therefore, this cross-sectional study explored self-reported changes in physical activity (PA), sedentary behavior, and screen time among informal caregivers providing care for older adults aged 50+ during the pandemic. Methods Study participants were recruited via Amazon’s Mechanical Turk and reported their perceived changes (increased a lot, increased a little, remained the same, decreased a little, decreased a lot) in moderate-intensity PA (MPA), vigorous-intensity PA (VPA), sedentary behavior, and screen time (weekday and weekend) during the pandemic. For analytic purposes, response categories were categorized into three-level ordinal variables—increased (increased a lot, increased a little), no change (remained the same), decreased (decreased a little, decreased a lot). Multinomial logistic regression models assessed the likelihood of changes (vs. no change) in MPA, VPA, sedentary behavior, and screen time (weekday, weekend) based on caregiving and demographic characteristics. Results In total, 2574 individuals accessed the study link, 464 of whom did not meet eligibility requirements. In addition, people who completed 80% or less of the survey ( n = 1171) and/or duplicate IP addresse ( n = 104) were excluded, resulting in an analytic sample of n = 835. The sample was 69% male, had a mean age of 34 (SD = 9.7), and 48% reported increased VPA, while 55% reported increased MPA. The majority also reported increased sedentary behavior, as well as increased screen time. Respondents living with their care recipient were more likely to report increased weekday screen time (Odds Ratio [OR] = 1.55, 95% CI 1.11–2.16) and sedentary behavior (OR = 1.80, 95% CI 1.28–2.53) than respondents not living with the care recipient. Those living with their care recipient were also more likely to reported increased MPA (OR = 1.64, 95% CI 1.16–2.32), and VPA (OR = 1.53, 95% CI 1.09–2.15), but also more likely to report a decrease in VPA (OR = 1.75, 95% CI 1.14–2.70). Conclusion The majority of respondents reported that their MPA, VPA PA, sedentary behavior, and screen time had changed during the pandemic. Living with the care recipient was associated with both positive and negative changes in behavior. Future research can explore factors associated with these reported changes in behavior.

The determinants of physical function are not well characterized among middle-aged women. PURPOSE: The primary aim of this study was to determine the strength of the associations between lean mass, muscular strength, muscle quality, and physical functional ability in a cohort of middle-aged women. The secondary aim was to determine the measure of muscle quality most highly associated with physical function. METHODS: Middle-aged women (N = 111, age = 53.1 ± 6.2 years) were assessed for body composition (via dual energy x-ray absorptiometry), physical activity (via accelerometer), and physical function (via Transfer Task [TR], 30-Second Chair Stand [30-CS], 6-Minute Walk Test [6MWT], 8-Foot-Up-And-Go). A lower body physical function composite score (PFCS) was then calculated. Lower body strength was measured using isokinetic dynamometry for isometric knee flexion and extension at 60 degrees, and isokinetic flexion and extension at 60 degrees/second and 180 degrees/second. Muscle quality was defined as muscular strength normalized for upper leg lean mass and calculated using: 1) isometric knee flexion and extension at 60 degrees (MQ-ISO), 2) isokinetic knee flexion and extension at 60 degrees/second (MQ-KN60) and 3) isokinetic knee flexion and extension at 180 degrees/second (MQ-KN180). RESULTS: The sample had an average body mass index of 26.3 ± 5.5 kg/m2, percent body fat of 38.0 ± 8.1%, and completed 8177 ± 3329 steps/day. Partial correlations, controlled for age and average steps per day, found MQ-KN60 to be most highly associated with PFCS (r = .43, p < .001). Hierarchical linear regression found that 1) age, average steps per day, and MQ-KN60 were independently associated with PFCS, explaining 3%, 18.1% and 14.3% of the variance, respectively (p < .001), and 2) age, average steps per day, MQ-KN60 were significantly associated with TR, 30-CS, and 6MWT (all p ≤ .01). CONCLUSION: In this sample of active middle-aged women, MQ-KN60 and PFCS were most strongly associated. This data provides insight into relevant measures to consider when examining the independent contributors to physical functional ability women aged 40 – 64 years.