scholarly journals Markers of pubertal timing and leisure-time physical activity from ages 36 to 68 years: findings from a British birth cohort

BMJ Open ◽  
2017 ◽  
Vol 7 (10) ◽  
pp. e017407 ◽  
Author(s):  
Ahmed Elhakeem ◽  
Rachel Cooper ◽  
David Bann ◽  
Diana Kuh ◽  
Rebecca Hardy
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Early Stage ◽  
Pubertal Timing ◽  
Mixed Effects ◽  
Mixed Effects Model ◽  
Age At Menarche ◽  
Advanced Stage ◽  
Logistic Regression Models

ObjectivesWe aimed to examine associations between markers of pubertal timing and leisure-time physical activity (LTPA) from ages 36 to 68 years in men and women from the Medical Research Council National Survey of Health and Development.Study designPubertal timing was ascertained by physicians at age 14–15 years. Boys were grouped, based on their secondary sexual characteristics, as prepubescent, in early-stage puberty, advanced stage puberty or fully mature at age 14–15 years. Girls were grouped as reaching menarche ≤11, 12, 13 or ≥14 years. LTPA was reported at ages 36, 43, 53, 60–64 and 68 years and classified as active or inactive at each age. Associations were examined using standard and mixed-effects logistic regression models.ResultsOf 5362 singleton births recruited, 1499 men and 1409 women had at least one measure of LTPA and data on pubertal timing and selected covariates. When compared with men that were fully mature at age 14–15 years, those that were in advanced stage and early-stage puberty, but not the prepubescent stage, had lower likelihood of LTPA at younger but not older adult ages (p=0.06 for pubertal status-by-age at LTPA interaction in mixed-effects model). For example, fully adjusted ORs of LTPA (vs no LTPA) at ages 36 and 68 years, respectively, for advanced puberty versus fully mature were 0.69 (95% CIs 0.50 to 0.96) and 1.03 (0.72 to 1.47). Age at menarche was not associated with LTPA at any age (pinteractionwith age at LTPA=0.9). For example, OR (from mixed-effects model) of LTPA between 36 and 68 years was 1.23 (0.93, 1.63) for menarche at 13 vs ≤11 years.ConclusionsIn a nationally representative study, there was little evidence to suggest that pubertal timing was an important correlate of LTPA between ages 36 and 68 years. Maturity-related variations in adolescents’ LTPA may be transitory and lose importance over time.

scholarly journals DETERMINANTS OF LEISURE-TIME PHYSICAL ACTIVITY IN OLDER, RURAL CANCER SURVIVORS IN CENTRAL PENNSYLVANIA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S388-S388
Author(s):  
Scherezade K Mama ◽  
Nishat Bhuiyan ◽  
Eugene Lengerich ◽  
Kathryn Schmitz
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Rural Areas ◽  
Regression Models ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Future Research ◽  
Environmental Support ◽  
Logistic Regression Models ◽  
Central Pennsylvania

Abstract This study explored social and environmental determinants of leisure-time physical activity (LTPA) in cancer survivors (CS) residing in Central Pennsylvania, a largely rural region. Rural CS completed questionnaires assessing LTPA, social support (SS) for LTPA, home and neighborhood environments for LTPA. Logistic regression models were used to assess associations with being active/inactive. Participants (n=219) were categorized as mature survivors (<75 years, 80.7%) or elderly survivors (>=75 years, 19.3%). Only 28.2% of elderly survivors reported meeting LTPA guidelines compared to 45.6% of mature survivors. Survivors reporting SS for LTPA were 10% more likely to active than those who did not have SS (OR=1.1, CI 1-1.1). Mature survivors that reported environmental support (home: OR=1.2: CI 1-1.3; neighborhood: OR=1.8, CI: 1-3.2) were more likely to be active than those without strong environmental support. Creating more supportive environments to foster LTPA in elderly survivors in rural areas is a key priority for future research.

scholarly journals Leisure-time physical activity and its correlates in a multi-ethnic sample of adults over age 50 in Singapore

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joelle H. Fong
Keyword(s):  
Physical Activity ◽  
Social Life ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Physical Activity Promotion ◽  
Well Being ◽  
Community Dwelling ◽  
Logistic Regression Models ◽  
Final Sample ◽  
Activity Promotion

Abstract Background To examine the prevalence and correlates of regular leisure-time physical activity (LTPA) among community-dwelling adults in Singapore. Methods Data was sourced from the 2018–2019 Singapore Life Panel, which asked respondents about their current LTPA participation at various time-points over a seven-month period. The final sample comprised 7684 subjects over age 50. We applied logistic regression models in our analysis. Results 39.8% of the respondents engaged in regular LTPA, with significantly higher proportions of men than women doing so. Factors positively associated with regular LTPA in both genders were age, education, retired, income, and satisfaction with social life, whereas a negative association was found with self-rated health. The correlates of sustained LTPA participation were relatively consistent with factors predicting current participation. Conclusions Regular participation in recreational physical activities is important to promoting health and well-being among middle-aged and older adults as populations age. Our findings indicated that positive perceptions of social relationships and being retired are important supporting factors. The urgent development of physical activity promotion strategies and interventions are required to foster greater overall LTPA participation.

scholarly journals Gender differences in social support and leisure-time physical activity

2014 ◽  
Vol 48 (4) ◽  
pp. 602-612 ◽  
Author(s):  
Aldair J Oliveira ◽  
Claudia S Lopes ◽  
Mikael Rostila ◽  
Guilherme Loureiro Werneck ◽  
Rosane Härter Griep ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Gender Differences ◽  
Logistic Regression ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Multinomial Logistic Regression ◽  
Southeastern Brazil ◽  
Logistic Regression Models ◽  
Social Support Scale

OBJECTIVE To identify gender differences in social support dimensions’ effect on adults’ leisure-time physical activity maintenance, type, and time.METHODS Longitudinal study of 1,278 non-faculty public employees at a university in Rio de Janeiro, RJ, Southeastern Brazil. Physical activity was evaluated using a dichotomous question with a two-week reference period, and further questions concerning leisure-time physical activity type (individual or group) and time spent on the activity. Social support was measured with the Medical Outcomes Study Social Support Scale. For the analysis, logistic regression models were adjusted separately by gender.RESULTS A multinomial logistic regression showed an association between material support and individual activities among women (OR = 2.76; 95%CI 1.2;6.5). Affective support was associated with time spent on leisure-time physical activity only among men (OR = 1.80; 95%CI 1.1;3.2).CONCLUSIONS All dimensions of social support that were examined influenced either the type of, or the time spent on, leisure-time physical activity. In some social support dimensions, the associations detected varied by gender. Future studies should attempt to elucidate the mechanisms involved in these gender differences.

Delving into the Social Ecology of Leisure-Time Physical Activity Among Adolescents From South Eastern Spain

2013 ◽  
Vol 10 (8) ◽  
pp. 1136-1144 ◽  
Author(s):  
Enrique Garcia Bengoechea ◽  
Francisco Ruiz Juan ◽  
Paula Louise Bush
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Peer Group ◽  
Population Based ◽  
Self Report ◽  
Logistic Regression Models ◽  
Social Ecological ◽  
Participation Motives

Background:Worldwide, there is a growing concern with adolescents’ low levels of physical activity (PA). We used a comprehensive social ecological framework to uncover factors associated with leisure-time physical activity (LTPA) among adolescents from southeastern Spain.Methods:A population-based sample of 3249 adolescents aged 12–17 participated in a school-based survey in 2006. Potential correlates of participation in and level of LTPA were assessed through self-report. LTPA levels were also self-reported. We used gender-stratified logistic regression models to examine the associations among the variables of interest.Results:Consistent with a social ecological perspective, analyses revealed several factors, corresponding to different levels of organization (demographic, biological, psychological, behavioral, social) and behavioral settings (family, peer group, school), significantly associated with LTPA. Some of these factors varied as a function of gender and depending on whether the outcome considered was nonparticipation vs. participation in LTPA or high vs. low level of involvement among participants. Overall, the findings highlight the role of health-related participation motives, significant others’ attitudes toward PA, and grade in physical education as correlates of LTPA in this sample.Conclusions:Continued research is necessary to understand the complex interplay of factors and settings associated with adolescent LTPA and the role of gender.

scholarly journals Association of Physical Activity and Sitting Time with Overweight/Obesity in Chinese Occupational Populations

Obesity Facts ◽  
2021 ◽  
pp. 1-7
Author(s):  
Fan Yuan ◽  
Weiyan Gong ◽  
Caicui Ding ◽  
Hui Li ◽  
Ganyu Feng ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lower Risk ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Active Transportation ◽  
Sitting Time ◽  
Work Time ◽  
Transportation Mode ◽  
Activity Intensity ◽  
Female Employees

<b><i>Abstract:</i></b> The aim of this study was to explore association of physical activity and sitting time with overweight/obesity in Chinese occupational populations for the development of intervention and prevention strategies for obesity. <b><i>Methods:</i></b> A total of 23,112 participants were selected from the 2010–2012 China National Nutrition and Health Survey (CNNHS). A logistics regression model was used to examine the associations of physical activity and sitting time with overweight/obesity by gender after adjusting for age, educational level, marital status, and family economic level. <b><i>Results:</i></b> The prevalence of overweight/obesity based on the WHO definition and the WGOC definition was 30.8% and 41.3%, respectively. Male employees with moderate and heavy occupation activity intensity had a lower risk for overweight/obesity than those with light occupation activity intensity (moderate: OR 0.90, 95% CI 0.82–0.98; heavy: OR 0.75, 95% CI 0.65–0.86), and the risk of overweight/obesity of male employees with long work-time spent sitting was higher than those with short work-time spent sitting (2–4.9 h/day: OR 1.26, 95% CI 1.14–1.40; ≥5 h/day: OR 1.29, 95% CI 1.15–1.44). The risk of overweight/obesity of male employees with active transportation mode was lower than those with inactive transportation mode (OR 0.91, 95% CI 0.84–0.99), while the risk of overweight/obesity of female employees with active transportation mode was higher (OR 1.14, 95% CI 1.04–1.25). Female employees with leisure-time physical activity (LTPA) for ≥150 min/week had lower risk of overweight/obesity than those with LTPA for &#x3c;150 min/week (OR 0.69, 95% CI 0.56–0.84). There was no significant association of leisure-time sitting and housework time with overweight/obesity in Chinese occupational populations. <b><i>Conclusion:</i></b> Occupation activity intensity, LTPA, transportation mode, and work sitting time were associated with overweight/obesity. Reducing work sitting time, moderate and heavy occupation activity intensity, and an active transportation mode could help male employees decrease the risk of overweight/obesity. Increasing leisure-time physical activity could reduce the risk of overweight/obesity in women. Our findings provided insight into the association of physical activity and sitting time with overweight/obesity. It will be necessary to carry out workplace-based interventions, have an active transportation mode, and increase leisure-time physical activity to decrease the risks of overweight/obesity.

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