Clustering of Physical Activity, Sleep, Diet, and Screen-Based Device Use Associated with Self-Rated Health in Adolescents

Author(s):  
Margarethe Thaisi Garro Knebel ◽  
Thiago Sousa Matias ◽  
Marcus Vinicius Veber Lopes ◽  
Priscila Cristina dos Santos ◽  
Alexsandra da Silva Bandeira ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nader Rajabi Gilan ◽  
Mehdi khezeli ◽  
Shirin Zardoshtian

Abstract Background Life satisfaction is an important component in designing strategies to improve health outcomes in different groups of society. This study aimed to investigate the effect of subjective socioeconomic status (SSS), social capital (SC), self-rated health (SRH), and physical activity (PA) on life satisfaction (LS) in Iran. Methods This cross-sectional study was conducted on 1187 people (643 men and 544 women) lived in five western cities in Iran. The sampling method was multistage clustering. Data collection tool was a five part questionnaire including demographic characteristics, socioeconomic status ladder, social capital scale, a question to measure physical activity, and the life satisfaction scale. Data were analyzed using independent t-test, one way ANOVA, and Ordinal Logistic Regression. Result Life satisfaction was higher in married men and women compared to single and widows (p < 0.05). Among the variables included in the main model, the significant predictors were college education (− 0.500), marriage (coefficient = 0.422), age 25–34 years (coefficient = − 0.384), SRH (coefficient = 0.477), male sex (coefficient = 0.425), SSS (coefficient = 0.373), trust (coefficient = 0.115), and belonging and empathy (coefficient = 0.064). Conclusion SRH and SSS were significant predictors of life satisfaction in west Iranian society. Being married was associated with higher LS, but college education affects LS adversely.


2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Cristina Cimarras-Otal ◽  
Amaia Calderón-Larrañaga ◽  
Beatriz Poblador-Plou ◽  
Francisca González-Rubio ◽  
Luis A Gimeno-Feliu ◽  
...  

2018 ◽  
Vol 39 (3) ◽  
pp. 301-310 ◽  
Author(s):  
Samantha Brady ◽  
Lisa A. D’Ambrosio ◽  
Adam Felts ◽  
Elizabeth Y. Rula ◽  
Kenneth P. Kell ◽  
...  

Objectives: To explore the effects of membership in a fitness program for older adults on social isolation, loneliness, and health. Method: Using survey responses from SilverSneakers members and matched nonmembers, regression path analysis was used to examine the influence of SilverSneakers membership on physical activity, social isolation, loneliness, and health, and the interrelationships among these concepts. Results: SilverSneakers membership directly increased physical activity and self-rated health, directly decreased social isolation, and indirectly decreased loneliness. Decreased social isolation and loneliness were associated with better self-rated health: social isolation and loneliness had independent direct effects on health, while social isolation also had an indirect effect on health mediated through loneliness. Discussion: Members of SilverSneakers experienced better health through increased physical activity, reduced social isolation, and reduced loneliness. Future research should explore independent effects of social isolation and loneliness on health and the mechanisms by which membership reduces social isolation and loneliness.


Author(s):  
M. Van den Berge ◽  
S. H. Van Oostrom ◽  
H. F. Van der Molen ◽  
S. J. W. Robroek ◽  
C. T. J. Hulshof ◽  
...  

Abstract Purpose To investigate the combined effects of occupational physical activity (OPA) and either overweight/obesity or low levels of leisure-time vigorous physical activity (LTVPA) on self-rated health. Methods A longitudinal study was performed among 29,987 construction workers with complete data on 2 Workers’ Health Surveillance Programs during 2010–2018. Self-reported OPA involved strenuous work postures and manual material handling. Low level of LTVPA was defined as self-reported vigorous activity for less than three times per week lasting at least 20 min per session. Overweight and obesity were based on Body Mass Index (BMI) (25.0 ≤ BMI < 30.0 kg/m2 and BMI ≥ 30.0 kg/m2, respectively) using measured body height and weight. Self-rated health was measured using a single item question. Logistic regression analysis was used to investigate the associations between the separate risk factors at baseline and self-rated health at follow-up. The combined effects of demanding OPA and either overweight/obesity or low level of LTVPA on self-rated health were analyzed using the relative excess risk due to interaction (RERI). Results Mean follow-up duration was 31.7 (SD = 14.9) months. Construction workers with strenuous work postures (OR 1.35 95% CI 1.25–1.46), manual material handling (OR 1.29 95% CI 1.19–1.40), obesity (OR 1.31 95% CI 1.17–1.47) and low LTVPA (OR 1.13 95% CI 1.01–1.25) were more likely to report poor self-rated health at follow-up. No statistically significant interaction effects were found for OPA and obesity or low LTVPA. Conclusions OPA, obesity and low level of LTVPA were separate risk factors for poor self-rated health, but did not appear to have a synergistic effect.


Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Charlotte A Larsson ◽  
Bledar Daka ◽  
Margareta I Hellgren ◽  
Maria C Eriksson ◽  
Lennart Råstam ◽  
...  

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.


Author(s):  
Aisling McGrath ◽  
Niamh Murphy ◽  
Noel Richardson

Summary COVID-19 disproportionately affects males especially those who are older and more socio-economically disadvantaged. This study assessed wellbeing outcomes among men’s shed members (Shedders) in Ireland at baseline (T1), 3 (T2), 6 (T3) and 12 months (T4) in response to a 10-week health promotion program ‘Sheds for Life’ (SFL). Two cohorts participated in SFL commencing in March and September 2019. This study compares the T3 findings from one cohort carried out during the COVID-19 pandemic [COVID cohort (n = 185)] with T3 findings from a comparator cohort [pre-COVID cohort (n = 195)], completed pre-COVID-19. Questionnaires assessing wellbeing [life satisfaction, mental health, loneliness, physical activity (PA), self-rated health and other lifestyle measures] were analyzed in both cohorts T1, T2 and T3. Self-rated Health and life satisfaction decreased in the COVID cohort at T3 (p &lt; 0.001), while loneliness scores increased (p &lt; 0.0005). Higher loneliness scores were correlated with lower health ratings, life satisfaction and PA during COVID-19 (p &lt; 0.001). Days PA decreased in the COVID cluster at T3 from T2 (p &lt; 0.01) with those in urban areas reporting lower activity levels than rural areas (p &lt; 0.05). Those sufficiently active at baseline managed to maintain PA during COVID-19 while those not meeting guidelines were more likely to report decreases (p &lt; 0.001). Shedders experiencing COVID-19 restrictions are at an increased risk of poorer wellbeing and increased levels of loneliness. Support and guidance are needed to safely encourage this cohort back into men’s sheds, settings that protect against loneliness and positively promote health and wellbeing. Lay summary The COVID-19 pandemic will have wide-reaching implications on wellbeing, particularly on those who are older and more vulnerable. Evidence also suggests that COVID-19 disproportionately affects males. This study aimed to understand the impact that COVID-19 has had on men in the setting of Men’s Sheds in Ireland. Two cohorts of men who were participating in a 10-week health and wellbeing program (Sheds for Life) at different stages were followed over time. At 6 months follow-up the first Cohort had not experienced COVID-19 whereas the second cohort was actively experiencing the COVID-19 pandemic. We measured wellbeing using questionnaires, comparing both groups of men for differences. We found that the men who were experiencing COVID-19 had lower self-rated health, physical activity and life satisfaction as well as higher rates of loneliness, with those who were more lonely reporting lower wellbeing scores. We also found that men in rural areas were more physically active during COVID-19 and that those were not active were more likely to become more inactive during COVID-19. This study suggests that support and guidance is needed to safely encourage this cohort back into Men’s Sheds, settings that protect against loneliness and positively promote health and wellbeing.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S387-S387
Author(s):  
Shirley M Bluethmann ◽  
Eileen Flores ◽  
Charles Matthews ◽  
Frank Perna

Abstract Physical activity (PA) and avoidance of inactivity are recommended in cancer survivorship. But survivors are not meeting these recommendations. We used national data (NHANES) collected 2011-2014 (n=9620) to estimate associations of PA and TV viewing with 3 health outcomes: self-rated health, functional limitations and multimorbidity in older cancer survivors and adults without cancer. Greater PA was associated with reporting excellent health in survivors. Survivors that obtained 22.5+ MET-hours/week were 5.5 times more likely to report excellent health than those that did no exercise (OR=5.5, p&lt;.001). We observed a decrease in likelihood of multimorbidity and functional limitations with increasing PA (both significant at p&lt;.001). We noted survivors that abstained from watching TV were 3x more likely to report excellent health and between 60-80% less likely to report functional limitations and multimorbidity than TV watchers (p&lt;001). Findings with non-cancer adults were similar. Survivors need PA and reduced TV to maximize health outcomes.


Sign in / Sign up

Export Citation Format

Share Document