Continuous Metabolic Syndrome Risk Score, Body Mass Index Percentile, and Leisure Time Physical Activity in American Children

(1) Purpose: Conflicting information exists regarding the relationship between obesity, leisure-time physical activity (PA), and disability in people with multiple sclerosis (PwMS). We aimed to investigate the association between leisure-time PA and weight status in a relatively large cohort of PwMS. Furthermore, we examined this relationship according to the level of neurological disability. (2) Methods: The study included 238 PwMS (138 women) with a mean Expanded Disability Status Scale (EDSS) score of 2.5 (standard deviation [SD] = 1.7), mean disease duration of 6.4 (SD = 8.2) years, and mean age of 40.5 (SD = 12.9) years. Obesity was defined using two different metrics, each based on body mass index (BMI). Leisure-time PA was determined by the Godin–Shephard leisure-time PA questionnaire. Statistical analyses included multivariate logistic regression, the chi-square test, and Pearson coefficient correlations. (3) Results: The unadjusted odds ratio (OR) between leisure-time PA and BMI based on the World Health Organization’s (WHO) definition was 1.070 (p = 0.844) for overweight and 1.648 (p = 0.254) for obesity. The adjusted OR was 1.126 (p = 0.763) for overweight and 1.093 (p = 0.847) for obesity after adjustment for age, gender, and disability status. Chi-square analysis revealed no significant correlation between leisure-time PA and obesity (p = 0.564) according to the BMI threshold for PwMS. The unadjusted OR (95% confidence interval [CI]) between disability level and BMI based on the WHO definition was 1.674 (p = 0.220) for overweight and 0.618 (p = 0.460) for obesity. The adjusted OR was 1.130 (p = 0.787) for overweight and 0.447 (p = 0.234) for obesity after adjustment for age, gender, and leisure-time PA. Similarly, chi-square analysis revealed no significant correlation between disability level and obesity (p = 0.701) per the BMI threshold for PwMS. (4) Conclusions: No association was found between leisure-time PA and BMI in PwMS. An additional finding was the absence of any association between obesity and neurological disability level in the multiple sclerosis cohort.

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Relation of Body Mass Index and Body Fat Mass for Spanish University Students, Taking into Account Leisure-Time Physical Activity

Perceptual and Motor Skills ◽

10.2466/pms.108.2.343-348 ◽

2009 ◽

Vol 108 (2) ◽

pp. 343-348 ◽

Cited By ~ 2

Author(s):

Javier Molina-García ◽

Isabel Castillo ◽

Carlos Pablos ◽

Ana Queralt

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

University Students ◽

Body Mass ◽

Body Fat ◽

Fat Mass ◽

Leisure Time ◽

Leisure Time Physical Activity ◽

Body Fat Mass ◽

Metabolic Equivalents

The objective of this cross-sectional study was to analyze the relation of Body Mass Index with body fat mass while taking into account the amount of leisure-time physical activity for 299 male university students. Body fat mass was measured by bioelectrical impedance analysis. An estimation of energy expenditure in leisure-time physical activity in metabolic equivalents (METs) was obtained so participants were divided into six activity groups by percentile: no physical activity by the first group and participants physically active were divided into five groups by percentiles: <25%, 26–50%, 51–75%, 76–90%, and 91–100%. Correlations of Body Mass Index with body fat mass were strong in different groups—values ranged from .76 to .85, except for the >90% group.

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The mediating role of dietary factors and leisure time physical activity on social inequalities in body mass index among Australian adults

Obesity Research & Clinical Practice ◽

10.1016/j.orcp.2013.12.709 ◽

2013 ◽

Vol 7 ◽

pp. e116-e117

Author(s):

Emma Gearon ◽

Kathryn Backholer ◽

Allison Hodge ◽

Anna Peeters

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Mass ◽

Leisure Time ◽

Social Inequalities ◽

Leisure Time Physical Activity ◽

Dietary Factors ◽

Mediating Role

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Relationships of Musculoskeletal Symptoms, Sociodemographics, and Body Mass Index With Leisure-Time Physical Activity Among Nurses

Workplace Health & Safety ◽

10.1177/2165079918771987 ◽

2018 ◽

Vol 66 (12) ◽

pp. 577-587 ◽

Cited By ~ 4

Author(s):

Soohyun Nam ◽

MinKyoung Song ◽

Soo-Jeong Lee

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Mass ◽

Leisure Time ◽

Leisure Time Physical Activity ◽

High Body Mass Index ◽

Physical Activity Promotion ◽

Musculoskeletal Symptoms ◽

Cross Sectional ◽

Activity Promotion

Nurses have a high prevalence of musculoskeletal symptoms from patient handling tasks such as lifting, transferring, and repositioning. Comorbidities such as musculoskeletal symptoms may negatively affect engagement in leisure-time physical activity (LTPA). However, limited data are available on the relationship between musculoskeletal symptoms and LTPA among nurses. The purpose of this study was to describe musculoskeletal symptoms and LTPA, and to examine the relationships of musculoskeletal symptoms, sociodemographics, and body mass index with LTPA among nurses. Cross-sectional data on sociodemographics, employment characteristics, musculoskeletal symptoms, body mass index, and LTPA were collected from a statewide random sample of 454 California nurses from January to July 2013. Descriptive statistics, bivariate and multiple logistic regressions were performed. We observed that non-White nurses were less likely to engage in regular aerobic physical activity than White nurses (odds ratio [OR] = 0.61; 95% confidence interval [CI] = [0.40, 0.94]). Currently working nurses were less likely to engage in regular aerobic physical activity than their counterparts (OR = 0.48; 95% CI = [0.25, 0.91]). Nurses with higher body mass index were less likely to perform regular aerobic physical activity (OR = 0.93; 95% CI = [0.89, 0.97]) or muscle-strengthening physical activity (OR = 0.92; 95% CI = [0.88, 0.96]). This study found no evidence that musculoskeletal symptoms may interfere with regular engagement in LTPA. Physical activity promotion interventions should address employment-related barriers, and particularly target racial minority nurses and those who have a high body mass index.

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Abstract 004: Physical Activity, Television Watching and Genetic Predisposition in Relation to Body Mass Index in Women and Men

Circulation ◽

10.1161/circ.125.suppl_10.a004 ◽

2012 ◽

Vol 125 (suppl_10) ◽

Author(s):

Qibin Qi ◽

Yanping Li ◽

Andrea K Chomistek ◽

Jae Hee Kang ◽

Gary C Curhan ◽

...

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Mass ◽

Genetic Predisposition ◽

Leisure Time ◽

Leisure Time Physical Activity ◽

Brisk Walking ◽

Main Effect ◽

Genetic Predisposition Score ◽

Tv Watching

Background Previous studies on gene-lifestyle interaction and obesity have largely focused on a single locus, the FTO gene, and overall physical activity, while little attention has been given in the association for sedentary activity as indicated by television (TV) watching. We examined the interactions between leisure-time physical activity and TV watching and the genetic predisposition to increased body mass index (BMI). Methods Longitudinal data were obtained from 7740 women and 4564 men from 2 prospective cohorts: the Nurses’ Health Study and Health Professionals Follow-up Study. Data on physical activity and TV watching were collected 2 years prior to assessment of BMI. A genetic predisposition score was calculated on basis of 32 established BMI-predisposing variants. Results Overall, each additional BMI-increasing allele was associated with an increase of 0.13 (SE 0.01) kg/m 2 in BMI. The effect size for BMI in individuals in the highest physical activity quintile was attenuated compared to that in individuals in the lowest physical activity quintile (0.08 [0.02] vs 0.15 [0.02] kg/m 2 ; P for interaction <0.001). In contrast, the genetic effect on BMI was more pronounced in individuals who spent >40 h/wk of TV watching than that in individuals who spent 0-1 h/wk of TV watching (0.34 [0.10] vs 0.08 [0.04] kg/m 2 ; P for interaction =0.001). Each 4 Mets/d increment in physical activity (equivalents to 1h/d of brisk walking) was associated with a 0.06 (95% CI 0.03-0.08) kg/m 2 reduction in BMI (∼46% of the main effect of each additional BMI-increasing allele), while each 2 h/d increment in TV watching was associated with a 0.03 (0.01-0.06) kg/m 2 increase in BMI (∼23% of the main effect). We estimated that the difference in BMI (∼4.0 kg/m 2 , equivalents to 11.6 kg in body weight for a person 1.70 m tall) between individuals with a genetic predisposition score of 13 (minimum) and those with a score of 43(maximum) could be reduced by half (2.1 kg/m 2 , 6.1 kg in weight) by 1 h/d of brisk walking or increased by 25% (5.0 kg/m 2 , 14.5 kg in weight) by 2h/d of TV watching. Conclusions Greater leisure-time physical activity attenuates the genetic predisposition to increased BMI, whereas sedentary lifestyle indicated by prolonged TV watching accentuates the genetic effects on BMI. Our data suggest that both increasing exercise levels and reducing sedentary behaviors, especially TV watching, independently may mitigate the genetic predisposition to increased BMI.

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