body mass index (BMI) of ≥30 kg/m 2 , and individuals with a BMI of 25 to <30 kg/m 2 are considered overweight. The BMI is used instead of body weight in isolation, as it adjusts for the effect of height on body weight ( Nuttall, 2015 ). The relationship between a higher BMI and falls in older adults
Sheng H. Kioh, Sumaiyah Mat, Shahrul B. Kamaruzzaman, Fatimah Ibrahim, Mas S. Mokhtar, Noran N. Hairi, Robert G. Cumming, Phyo K. Myint and Maw P. Tan
Nathaniel S. Nye, Drew S. Kafer, Cara Olsen, David H. Carnahan and Paul F. Crawford
, 18 This is significant given the increasing rates of obesity; as of 2012, 34.9% of Americans aged 20 years and older were considered obese 19 [defined as body mass index (BMI) ≥ 30 kg/m 2 ], placing them at additional risk for lower extremity injury. The use of BMI as a measure of body habitus has
Michael J. Davies, Gail P. Dalsky and Paul M. Vanderburgh
This study employed allometry to scale maximal oxygen uptake (V̇O2 max) by body mass (BM) and lean body mass (LBM) in healthy older men. Ratio standards (ml · kg−1 · min−1) derived by dividing absolute V̇O2 max (L · min−1) by BM or LBM often fail to control for the body size variable. The subjects were 73 older men (mean ± SD: age = 69.7 ± 4.3 yrs, BM = 80.2 ± 9.6 kg, height = 174.1 ± 6.9 cm). V̇O2 max was assessed on a treadmill with the modified Balke protocol (V̇O2 max = 2.2 ± 0.4 L · min−1). Body fat (27.7 ± 6.4%) was assessed with dual energy x-ray absorptiometry. Allometry applied to BM and V̇O2 max determined the BM exponent to be 0.43, suggesting that heavier older men are being penalized when ratio standards are used. Allometric scaling applied to LBM revealed the LBM exponent to be 1.05 (not different from the ratio standard exponent of 1.0). These data suggest that the use of ratio standards to evaluate aerobic fitness in older men penalized fatter older men but not those with higher LBM.
Catherine R. Marinac, Mirja Quante, Sara Mariani, Jia Weng, Susan Redline, Elizabeth M. Cespedes Feliciano, J. Aaron Hipp, Daniel Wang, Emily R. Kaplan, Peter James and Jonathan A. Mitchell
within an individual. We, therefore, tested if the timing of meals, light exposure, physical activity, and sleep were associated with body mass index (BMI) in a sample of healthy adults who recorded the timing of behaviors over multiple days using a novel smartphone application and actigraphy. We first
Simone A. Tomaz, Alessandra Prioreschi, Estelle D. Watson, Joanne A. McVeigh, Dale E. Rae, Rachel A. Jones and Catherine E. Draper
, and research on sleep behavior in this age group is lacking from low- and middle-income countries (LMICs), such as South Africa. Furthermore, there has been limited research investigating the relationships between PA, SB, GMS, sleep duration, and body mass index (BMI) in preschool children from LMICs
Inger Mechlenburg, Marianne Tjur and Kristian Overgaard
time domains. A secondary aim was to investigate if prolonged sitting is associated with body mass index (BMI) and self-reported health and how these associations vary between working and leisure time. Methods Recruitment Participants were randomly selected from the Danish Civil Registration System if
Jillian J. Haszard, Kim Meredith-Jones, Victoria Farmer, Sheila Williams, Barbara Galland and Rachael Taylor
compositional time-use and health outcomes (such as body mass index [BMI]) have generally been presented in terms of a “reallocation” of time in terms of a set block of minutes (e.g., 15 minutes) ( Carson et al., 2017 ; Chastin et al., 2015 ; Dumuid, Stanford, Pedišić, et al., 2018 ; Fairclough et al., 2017
Meenakshi Maria Fernandes and Roland Sturm
Physical activity at school can support obesity prevention among youth. This paper assesses the role of existing school physical activity programs for a national cohort from first grade to fifth grade.
We analyzed a cohort from the Early Childhood Longitudinal Survey—Kindergarten Cohort which included 8246 children in 970 schools across the country. Growth curve models estimate the effect of physical education (PE) and recess on individual child body mass trajectories controlling for child and school characteristics. Hierarchical models allow for unobserved school and child effects.
Among first graders, 7.0% met the National Association of Sport and Physical Education (NASPE) recommended time for PE and 70.7% met the recommended time for recess in the previous week. Boys experienced a greater increase in body mass than girls. Meeting the NASPE recommended time for recess was associated with a 0.74 unit decrease in BMI (body mass index) percentile for children overall. Meeting the NASPE recommendation for physical education was associated with 1.56 unit decrease in BMI percentile among boys but not girls.
We find evidence that meeting the national recommendations for PE and recess is effective in mitigating body mass increase among children.
Bo Shen and Chiren Xu
Researchers have studied exercise determinants primarily from cognitive and social psychology perspectives, which typically give minimal attention to the body as a physical and biological entity. With the belief that tapping into multidimensional variables would potentially help us better understand motivation in exercise, we designed this study to examine the influences of self-efficacy, body mass, and cardiorespiratory fitness level on Chinese college students’ leisure-time exercise motives.
208 college students completed measures of self-efficacy and exercise motives during regular physical education classes. Their body mass and cardiorespiratory fitness level data were derived from the latest annual physical training test. Multiple regression analyses were conducted to investigate the effects of self-efficacy, body mass, and cardiorespiratory fitness on exercise motives.
Cardiorespiratory fitness level and self-efficacy in exercise significantly contributed to both psychological and interpersonal motives. Body mass was the only significant predictor for body-related motives. However, analyses of health and fitness motives did not result in any significant predictors.
Physical and psychological variables have both independent and specialized functions on exercise motives. Future motivational studies in exercise should pay greater attention to ecological approaches that account for physical, psychological, and social factors.
Krista Schroeder, Martha Y. Kubik, Jiwoo Lee, John R. Sirard and Jayne A. Fulkerson
may inform interventions to minimize the decline. 5 – 10 Understanding these associations in preadolescents at risk for poor health outcomes, such as preadolescents with elevated body mass index (BMI), is especially important given the harmful health impact of physical inactivity and prolonged