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David R. Axon and Niloufar Emami

This retrospective, cross-sectional database study aimed to identify characteristics associated with self-reported frequent exercise (defined as moderate- to vigorous-intensity exercise for ≥30 min five times a week) in older U.S. (≥50 years) adults with pain in the past 4 weeks, using 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models. The variables significantly associated with frequent exercise included being male (adjusted odds ratio [AOR] = 1.507, 95% confidence interval [CI] [1.318, 1.724]); non-Hispanic (AOR = 1.282, 95% CI [1.021, 1.608]); employed (AOR = 1.274, 95% CI [1.040, 1.560]); having no chronic conditions versus ≥5 conditions (AOR = 1.576, 95% CI [1.094, 2.268]); having two chronic conditions versus ≥5 conditions (AOR = 1.547, 95% CI [1.226, 1.952]); having no limitation versus having a limitation (AOR = 1.209, 95% CI [1.015, 1.441]); having little/moderate versus quite/extreme pain (AOR = 1.358, 95% CI [1.137, 1.621]); having excellent/very good versus fair/poor physical health (AOR = 2.408, 95% CI [1.875, 3.093]); and having good versus fair/poor physical health (AOR = 1.337, 95% CI [1.087, 1.646]). These characteristics may be useful to create personalized pain management protocols that include exercise for older adults with pain.

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Ashleigh M. Johnson, Kelley Pettee Gabriel, Nalini Ranjit, Harold W. Kohl III, and Andrew E. Springer

Background: In response to conflicting findings for activity levels across sociodemographic groups, this study examined differences in adolescents’ in-school, out-of-school, and weekend physical activity (PA) by sociodemographic subgroups using representative US data. Methods: Data were obtained from the Family Life, Activity, Sun, Health, and Eating study. Multiple regression models compared in-school, out-of-school, and weekend PA by gender and race/ethnicity, and examined potential modification of associations by grade (middle vs high school) and socioeconomic status (lower vs higher). Results: Final analytic sample was 1413 adolescents (Mean age = 14.5 y, 51.3% female, 64.5% white). Compared with whites, in-school PA was significantly higher among blacks and those classified as other race/ethnicity for middle school (69.8 and 71.0, respectively, vs 66.4 min/d), and among Hispanics for high school (52.7 vs 48.4 min/d). Hispanics’ (vs whites’) out-of-school PA was significantly lower for middle school (63.7 vs 66.6 min/d), but higher for high school (54.0 vs 51.8 min/d). In-school PA was significantly higher among adolescents of lower (vs higher) socioeconomic status among males and Hispanics (all Ps < .05). Conclusions: The relation of race/ethnicity with PA varies by grade and time of day/week. Socioeconomic status findings contradict previously reported findings. Efforts to increase PA based on sociodemographic disparities should consider potential interaction effects.

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Simone Dohle, Mitch J. Duncan, and Tamara Bucher

Many exercise-based weight-loss interventions result in considerably less weight loss than predicted. One possible explanation could be that people have certain beliefs about the interplay of exercise and food that also influence their eating behavior, such as the belief that food is a reward for exercise. The current research outlines a systematic multiphase process to develop a psychometrically sound scale to assess these beliefs. In Study 1, regular exercisers (N = 520) completed an exploratory questionnaire on their beliefs related to diet and exercise. In Study 2 (N = 380), the factor structure of the newly developed scale was corroborated by confirmatory factor analysis. In addition, a test–retest (N = 166) was used to confirm reliability and stability. In sum, the Diet-Related Beliefs of Exercisers Scale with its four subscales (“Refrain from Eating,” “Food as Reward,” “Healthy Eating,” and “Nutritional Replenishment”) represents a valid and reliable measure of exercisers’ diet-related beliefs.

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Chungyi Chiu, Alicia R. Covello-Jones, Esteban Montenegro, Jessica M. Brooks, and Sa Shen

Background: Physical activity benefits have been extensively studied. However, the public health guidelines seem unclear about the relationships between steps and movements with healthy biomarkers for people with (PWD) and without disabilities (PWOD), respectively. While public health guidelines illustrate types of exercise (eg, running, swimming), it is equally important to provide data-driven recommended amounts of daily steps or movements to achieve health biomarkers and further promote a physically active lifestyle. Methods: Data from the National Health and Nutrition Examination Survey 2003–2006 were used. The authors conducted sensitivity, specificity, and receiver-operating-characteristic curve analyses regarding cut points from ActiGraph 7164 of daily steps and movements for health biomarkers (eg, body mass index, cholesterol) in PWD (2178 participants) and PWOD (4414 participants). The authors also examined the dose relationships of steps, movements, and healthy biomarkers in each group. Results: The authors found significant differences in the cut points of daily steps and movement for health biomarkers in PWD and PWOD. For daily steps, cut points of PWD were ranged from 3222 to 8311 (area under the receiver-operating-characteristic curve [AUC] range = 0.52–0.93) significantly lower than PWOD’s daily steps (range = 5455–14,272; AUC = 0.58–0.87). For daily movement, cut points of PWD were ranged from 115,451 to 430,324 (AUC = 0.53–0.91) significantly lower than the PWOD’s daily movements (range = 215,288–282,307; AUC = 0.60–0.88). The authors found strong but different dose relationships of many biomarkers in each group. Conclusions: PWD need fewer daily steps or movement counts to achieve health biomarkers than PWOD. The authors provided data-driven, condition-specific recommendations on promoting a physically active lifestyle.

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Annegret Schlund, Anne K. Reimers, Jens Bucksch, Catherina Brindley, Carolin Schulze, Lorri Puil, Stephanie E. Coen, Susan P. Phillips, Guido Knapp, and Yolanda Demetriou

Background: Physical inactivity is often reported in youth and differs among boys and girls. The aim of this study is to assess sex/gender considerations in intervention studies promoting physical activity and reducing sedentary behavior in youth using a sex/gender checklist. Methods: A systematic search was conducted in August 2018 to identify all relevant controlled trials. Studies screened must have reported a quantified measure of physical activity and/or sedentary behavior, and identified participants by sex/gender at baseline. For evaluation of the sex/gender consideration, the authors used a sex/gender checklist developed by expert consensus. Results: The authors reviewed sex/gender considerations in all aspects of intervention development, implementation, and evaluation in 217 studies. Sex/gender aspects were only rudimentarily taken into account, most frequently during statistical analyses, such as stratification or interaction analysis. Conclusions: Sex/gender effects are not sufficiently reported. To develop guidelines that are more inclusive of all girls and boys, future interventions need to document sex/gender differences and similarities, and explore whether sex/gender influences different phases of intervention programs. The newly developed sex/gender checklist can hereby be used as a tool and guidance to adequately consider sex/gender in the several steps of intervention planning, implementation, and evaluation.

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Antonio Henrique Germano-Soares, Rafael M. Tassitano, Breno Quintela Farah, Aluísio Andrade-Lima, Marília de Almeida Correia, Aleš Gába, Nikola Štefelová, Pedro Puech-Leao, Nelson Wolosker, Gabriel Grizzo Cucato, and Raphael Mendes Ritti-Dias

Background: To examine the associations between physical activity (PA) and sedentary behavior (SB) with walking capacity and the effects of reallocating time from SB to PA in patients with symptomatic peripheral artery disease (PAD) using compositional data analysis. Methods: This cross-sectional study included 178 patients (34% females, mean age = 66 [9] y, body mass index = 27.8 [5.0] kg/m2, and ankle-brachial index = 0.60 [0.18]). Walking capacity was assessed as the total walking distance (TWD) achieved in a 6-minute walk test, while SB, light-intensity PA, and moderate to vigorous-intensity PA (MVPA) were measured by a triaxial accelerometer and conceptualized as a time-use composition. Associations between time reallocation among wake-time behaviors and TWD were determined using compositional isotemporal substitution models. Results: A positive association of MVPA with TWD (relative to remaining behaviors) was found in men (β ilr = 66.9, SE = 21.4, P = .003) and women (β ilr = 56.5, SE = 19.8; P = .005). Reallocating 30 minutes per week from SB to MVPA was associated with higher TWD in men (6.7 m; 95% confidence interval, 2.6–10.9 m) and women (4.5 m; 95% confidence interval, 1.5–7.5 m). Conclusions: The findings highlight, using a compositional approach, the beneficial and independent association of MVPA with walking capacity in patients with symptomatic PAD, whereas SB and light-intensity PA were not associated.

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Michael J. Shoemaker, Michaela Mattern, Hannah Scholten, Jessica Zeitler, and Shweta Gore

Background: The measurement of daily physical activity (DPA) is important for the prognosis and quantifying clinical outcomes in individuals with heart disease. The measurement of DPA is more feasible using subjective measures when compared with objective measures. The purpose of this systematic review of the literature was to identify the subjective measures of DPA that have established reliability and validity in individuals with heart disease to assist clinician and researcher instrument selection. Methods: A systematic search of PubMed, CINAHL, MEDLINE, and ProQuest databases was performed. Methodological rigor was assessed using 3 different quality appraisal tools. Qualitative synthesis of included studies was performed. Results: Twenty-two unique studies covering 19 subjective DPA measures were ultimately included. Methodological rigor was generally fair, and validity coefficients were moderate at best. Conclusions: Only 4 subjective measures that have established test–retest reliability and that provide an estimate of energy expenditure, metabolic equivalents, or minutes of DPA were compared against accelerometry or a DPA diary in patients with heart disease: SWISS Physical Activity Questionnaire, Total Activity Measure 1 and 2, and Mobile Physical Activity Logger. Depending on the clinician or researcher needs, instrument selection would depend on the recall period and the DPA construct being measured.

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Coral L. Hanson, Paul Kelly, Lis Neubeck, Jordan Bell, Holly Gibb, and Kai Jin

Background: Physical activity (PA) levels vary across specific population groups, contributing to health inequalities. Little is known about how local authority leisure centers contribute to population PA and whether this differs by age, sex, or socioeconomic group. Methods: The authors calculated weekly leisure center–based moderate/vigorous PA for 20,904 registered adult users of local authority leisure facilities in Northumberland, United Kingdom, between July 2018 and June 2019, using administrative data. The authors categorized activity levels (<30, 30–149, and ≥150 min/wk) and used ordinal regression to examine predictors for activity category achieved. Results: Registered users were mainly female (58.7%), younger (23.9% of users aged 18–29 y vs 10.1% of those aged 70+ y), and from the 2 most affluent socioeconomic quintiles (53.7%). Median weekly moderate/vigorous leisure center–based activity was 55 minutes per week (interquartile range: 30–99). Being female (odds ratio: 2.09; 95% confidence interval, 1.95–2.35), older (odds ratio: 1.14; 95% confidence interval, 1.11–1.16), and using a large facility (odds ratio: 1.21; 95% confidence interval, 1.03–1.42) were positive predictors of leisure center–based PA. Conclusion: Older adults and females were more likely to be active and achieve the recommended PA levels through usage of the centers. Widespread use of this novel measure of leisure center–based activity would improve the understanding of how local authority leisure centers can address physical inactivity and its associated inequalities.

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Danae Dinkel, Kelsey Lu, Jemima John, Kailey Snyder, and Lisette T. Jacobson

Background: Physical activity (PA), sedentary behavior, and sleep are interconnected, promoting optimal health. Few studies have examined these factors holistically. Therefore, the purpose of this study was to capture the 24-hour activity cycles of the US population by examining PA, sedentary behavior, and sleep based on the presence of a child within the home, as well as gender and weight. Methods: Cross-sectional health-related variables from the National Health and Nutrition Examination Survey were used for analysis. The primary variables were the total and type of PA (recreation, work, and active transportation), sedentary behavior, and sleep. Chi-square and regression models were applied to compare the outcomes across participants’ characteristics. Results: The adults with children within the home reported less recreational PA, more work activity, less sedentary activity, and less sleep, but no differences in total PA. The females with children in the home not only had the lowest levels of recreational activity and sleep, but also the lowest levels of sedentary behavior. The obese individuals with children in the home had less sedentary time than the adults without children in the home, regardless of weight status. Conclusions: Unhealthy sleep and PA behaviors are prevalent in adults with children living at home, and women are particularly impacted.