Leisure Time Physical Activity and Change in Body Mass Index: An 11-Year Follow-Up Study of 9357 Normal Weight Healthy Women 20–49 Years Old

2004 ◽  
Vol 13 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Wenche B. Drøyvold ◽  
Jostein Holmen ◽  
Øystein Krüger ◽  
Kristian Midthjell
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Normal Weight ◽  
Follow Up Study ◽  
Healthy Women

Correlates of Leisure-Time Physical Activity Differ by Body-Mass-Index Status in Brazilian Adults

2008 ◽  
Vol 5 (4) ◽  
pp. 571-578 ◽  
Author(s):  
Pedro Curi Hallal ◽  
Felipe Fossati Reichert ◽  
Fernando Vinholes Siqueira ◽  
Samuel Carvalho Dumith ◽  
Juliano Peixoto Bastos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Population Based ◽  
Cross Sectional Study ◽  
Education Level ◽  
Normal Weight ◽  
Cross Sectional

Objectives:The objective of this study was to evaluate physical activity (PA) levels in adults and their association with sex, age, and education level across categories of body mass index (BMI).Methods:We conducted a population-based, cross-sectional study including 3100 individuals age ≥20 years living in Pelotas, Brazil. PA was assessed using the leisure-time section of the long International Physical Activity Questionnaire. “No PA” was defined as zero minutes of activity/week; “insuffcient PA” was defined as <150 minutes of activity/week; “high PA” was defined as ≥500 minutes of activity/week. BMI was categorized into normal (<25 kg/m2), overweight (25–29.9 kg/m2), and obesity (≥30 kg/m2).Results:The prevalence of insufficient PA was 71.6% among normal BMI subjects, 71.3% among overweight individuals, and 73.7% among obese ones (P = .67). No PA and high PA were also not associated with BMI. The associations between sex, age, and education level and PA levels tended to be stronger among normal-weight individuals compared with overweight and obese individuals. Among the obese, most associations were not significant. Among normal-weight individuals, higher PA levels were observed in men, young adults, and those with higher education.Conclusions:Variables associated with leisure-time PA differed between normal-weight, overweight, and obese individuals. Studies on PA correlates might benefit from stratifying by BMI.

scholarly journals Excess Body Mass and Leisure Time Physical Activity in the Incidence and Persistence of Chronic Pain

Pain Medicine ◽  
2020 ◽  
Vol 21 (11) ◽  
pp. 3094-3101
Author(s):  
Rahman Shiri ◽  
Tea Lallukka ◽  
Ossi Rahkonen ◽  
Päivi Leino-Arjas
Keyword(s):  
Physical Activity ◽  
Chronic Pain ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
The Body ◽  
Health Study ◽  
Highly Active ◽  
The City

Abstract Objective To estimate the effects of excess body mass and leisure time physical activity on the incidence and persistence of chronic pain. Design A prospective cohort study. Methods As a part of the Finnish Helsinki Health Study, we included three cohorts of employees of the City of Helsinki (18,562 observations) and defined incident chronic pain as having pain in any part of the body for more than three months at follow-up in participants without chronic pain at baseline (N = 13,029 observations). Persistent chronic pain was defined as having pain for more than three months at both baseline and follow-up (N = 5,533 observations). Results Overweight (adjusted odds ratio [OR] = 1.18, 95% confidence interval [CI] = 1.06–1.31) and obesity (OR = 1.65, 95% CI = 1.45–1.88) increased the incidence of chronic pain. Moreover, overweight (OR = 1.16, 95% CI = 1.02–1.32) and obesity (OR = 1.48, 95% CI = 1.26–1.74) increased the risk of persistent chronic pain. Vigorous leisure time physical activity reduced the incidence of chronic pain (OR = 0.85, 95% CI = 0.75–0.96). Physical activity did not influence the risk of persistent chronic pain. Furthermore, overweight/obesity modified the effect of leisure time physical activity on incident chronic pain. Inactive overweight or obese participants were at the highest risk of chronic pain (OR = 1.71, 95% CI = 1.40–2.09), while the OR dropped to 1.44 (95% CI = 1.19–1.75) in moderately active overweight or obese participants and to 1.20 (95% CI = 0.97–1.47) in highly active overweight or obese participants. Conclusions Obesity not only increases the risk of developing chronic pain, but also increases the risk of persistent pain, while leisure time physical activity reduces the risk of developing chronic pain.

scholarly journals Relationship between physical activity and functional capacity change in aged cohort in São Paulo, Brazil

2022 ◽  
Vol 75 (3) ◽  
Author(s):  
Maria Claudia Martins Ribeiro ◽  
Adriana Sañudo ◽  
Eduardo J Simões ◽  
Luiz Roberto Ramos
Keyword(s):  
Physical Activity ◽  
Body Mass ◽  
Functional Capacity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Statistical Significance ◽  
Aged People ◽  
Capacity Change ◽  
Modifiable Factor

ABSTRACT Objectives: to evaluate the relationship between leisure-time physical activity and functional capacity change among aged people. Methods: we analyzed data of an aged cohort looking for determinants of functional capacity at follow-up. Baseline data were collected between 2007 and 2008 - average follow-up of 3,5 years. A full multivariate linear regression model was built to evaluate functional capacity at the end of the follow-up, controlling for functional capacity at baseline, sociodemographic, health and behavioral characteristics and amount of leisure-time physical activity in the period. Results: final model showed functional capacity independently correlated with age (p<0.001), body mass (p=0.013) and the number of activities of daily living compromised at baseline (p<0.001). Functional capacity improved with increased physical activity but loss statistical significance after adjustments (p=0.384). Conclusions: functional capacity decreases with increased age, increased loss of functional capacity at baseline and increased body mass. Albeit a non-significant association, leisure-time physical activity appears as an important modifiable factor.

Reduced risk of Parkinson’s disease associated with lower body mass index and heavy leisure-time physical activity

2014 ◽  
Vol 29 (4) ◽  
pp. 285-292 ◽  
Author(s):  
Katri Sääksjärvi ◽  
Paul Knekt ◽  
Satu Männistö ◽  
Jukka Lyytinen ◽  
Tuija Jääskeläinen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Parkinson’S Disease ◽  
Body Mass Index ◽  
Parkinson's Disease ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Lower Body ◽  
Lower Body Mass Index ◽  
Reduced Risk

scholarly journals The Association between Body Mass Index and Leisure-Time Physical Activity in Adults with Multiple Sclerosis

2020 ◽  
Vol 17 (3) ◽  
pp. 920
Author(s):  
Wi-Young So ◽  
Alon Kalron
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Chi Square ◽  
Disability Status ◽  
Chi Square Analysis ◽  
Disability Level

(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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