The effects of teenage childbearing on education, physical health, and mental distress: evidence from Mexico

2020 ◽  
Vol 86 (2) ◽  
pp. 183-206
Author(s):  
Pinar Mine Gunes ◽  
Magda Tsaneva

AbstractThis paper estimates the effects of teenage childbearing on education, working, physical and mental health, and physical activity of young girls in Mexico using two waves of the nationally representative Mexican Family Life Survey. We employ a propensity score matching model that accounts for a rich set of baseline covariates that predict teenage childbearing to attempt to reduce the bias due to confounding variables associated with teenage childbearing. The results demonstrate that teenage childbearing is associated with an increase in the probability of being overweight, and reductions in physical activity and the probability of high school completion. Moreover, the results are consistent when we employ sibling fixed effects to account for unobservable family background.

Obesity Facts ◽  
2020 ◽  
pp. 1-13
Author(s):  
Stephen Whiting ◽  
Marta Buoncristiano ◽  
Peter Gelius ◽  
Karim Abu-Omar ◽  
Mary Pattison ◽  
...  

<b><i>Background:</i></b> Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing. <b><i>Objectives:</i></b> This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6–9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI). <b><i>Method:</i></b> The fourth COSI data collection round was conducted in 2015–2017, using a standardized protocol that included a family form completed by parents with specific questions about their children’s PA, screen time, and sleep duration. <b><i>Results:</i></b> Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for &#x3e;1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for &#x3c;2 h/day, and 84.9% slept for 9–11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7–98.3% actively playing for &#x3e;1 h/day, 8.2–85.6% were not members of a sport or dancing club, 17.7–94.0% walked or cycled to school each day, 32.3–80.0% engaged in screen time for &#x3c;2 h/day, and 50.0–95.8% slept for 9–11 h/night. <b><i>Conclusions:</i></b> The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children.


2016 ◽  
Vol 13 (s2) ◽  
pp. S143-S149 ◽  
Author(s):  
Hannah Wilkie ◽  
Martyn Standage ◽  
Lauren Sherar ◽  
Sean Cumming ◽  
Caley Parnell ◽  
...  

Background:Regular physical activity improves physical and mental health, yet children’s physical activity levels were low in England’s 2014 Report Card. Within this paper, we update the 2014 Report Card to assess current information for the 9 indicators of physical activity.Methods:A search for nationally representative data on 9 indicators of physical activity was conducted and the data were assessed by an expert panel. The panel assigned grades [ie, A, B, C, D, F, or INC (incomplete)] to each indicator based on whether children across England were achieving specific benchmarks. The 2016 Report Card was produced and disseminated.Results:The following grades were awarded: Overall Physical Activity Levels: D-; Organized Sport Participation: D; Active Play: INC; Active Transportation: C-; Sedentary Behaviors: INC; Family and Peers: INC; School: B+; Community and the Built Environment: B; Government Strategies and Investment: INC.Conclusions:The grades have not improved since the 2014 Report Card and several gaps in the literature are still present. While children’s physical activity levels remain low alongside competing sedentary choices, further national plans and investment with local actions are urgently needed to promote physical activity especially via active play, active transport, and family support.


1993 ◽  
Vol 77 (2) ◽  
pp. 499-505 ◽  
Author(s):  
Siegfried Weyerer

The effect of physical activity on all-cause mortality was examined using a representative random sample of 1,536 persons (15 years and older) in three communities in Upper Bavaria. 27.0% of the respondents reported regular and 26.2% occasional physical exercise. During the 5-year follow-up 5.1% ( n = 79) of the original sample died. Using a logistic regression model, the relation between physical activity and mortality was measured by the odds ratio, with subjects reporting regular physical activity as the reference group. Crude mortality risk was significantly higher among the physically inactive (men: 3.97; women: 4.36) but not among respondents practising occasionally (men: 1.67; women: 1.24). After adjustment for potential confounding variables (age, social class, physical and mental health), the mortality risk was elevated but not statistically significant for the physically inactive (men: 1.76; women: 1.51) and for the group practising occasionally (men: 1.50; women: 1.14).


2021 ◽  
pp. 155982762110084
Author(s):  
Shamma Adeeb Alam ◽  
Bijetri Bose

Objective. Since physical inactivity has been identified as a pandemic and a public health priority, it is crucial to understand the role of adverse economic shocks on physical activity. In this study, we examine the impact of job losses during the U.S. Great Recession from January 2008 to June 2009 on the likelihood of physical activities of young adults. Methods. We use individual fixed effects estimation on a nationally representative longitudinal data from 2005 to 2015, the Panel Study of Income Dynamics (PSID), to examine the impact of job losses of young adults, their spouses, and their parents on physical exercise of young adults aged 18 to 27 years. Results. Own job losses during the Great Recession led to a decrease in the likelihood of physical exercise among young adults. However, job losses of parents and partners had no effect on the likelihood of young adults’ physical exercise. Conclusion. Our findings indicate a negative impact of the recession on physical activity of young adults and highlights the need for policymakers to consider the impact of major economic downturns on the physical activity of young adults.


2015 ◽  
Vol 23 (2) ◽  
pp. 47-59 ◽  
Author(s):  
Nadine Langguth ◽  
Tanja Könen ◽  
Simone Matulis ◽  
Regina Steil ◽  
Caterina Gawrilow ◽  
...  

During adolescence, physical activity (PA) decreases with potentially serious, long-term consequences for physical and mental health. Although barriers have been identified as an important PA correlate in adults, research on adolescents’ PA barriers is lacking. Thus reliable, valid scales to measure adolescents’ PA barriers are needed. We present two studies describing a broad range of PA barriers relevant to adolescents with a multidimensional approach. In Study 1, 124 adolescents (age range = 12 – 24 years) reported their most important PA barriers. Two independent coders categorized those barriers. The most frequent PA barriers were incorporated in a multidimensional questionnaire. In Study 2, 598 adolescents (age range = 13 – 21 years) completed this questionnaire and reported their current PA, intention, self-efficacy, and negative outcome expectations. Seven PA barrier dimensions (leisure activities, lack of motivation, screen-based sedentary behavior, depressed mood, physical health, school workload, and preconditions) were confirmed in factor analyses. A multidimensional approach to measuring PA barriers in adolescents is reliable and valid. The current studies provide the basis for developing individually tailored interventions to increase PA in adolescents.


2021 ◽  
pp. 002214652110054
Author(s):  
Sarah A. Mustillo ◽  
Miao Li ◽  
Patricia Morton ◽  
Kenneth F. Ferraro

Prior research reveals that negative early-life experiences play a major role in the development of obesity in later life, but few studies identify mechanisms that alter the lifetime risk of obesity. This study examines the influence of negative childhood experiences on body mass index (BMI) and obesity (BMI ≥30) during older adulthood and the psychosocial and behavioral pathways involved. Using a nationally representative sample, we examine the influence of cumulative misfortune as well as five separate domains of misfortune on BMI and obesity. Results show that four of the five domains are associated with BMI and obesity either directly, indirectly, or both. The influence of cumulative misfortune on the outcomes is mediated by three adult factors: socioeconomic status, depressive symptoms, and physical activity. The mediators identified here provide targets for intervention among older adults to help offset the health risks of excess BMI attributable of early-life exposure to misfortune.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e045879
Author(s):  
Bina Ram ◽  
Anna Chalkley ◽  
Esther van Sluijs ◽  
Rachel Phillips ◽  
Tishya Venkatraman ◽  
...  

IntroductionSchool-based active mile initiatives such as The Daily Mile (TDM) are widely promoted to address shortfalls in meeting physical activity recommendations. The iMprOVE Study aims to examine the impact of TDM on children’s physical and mental health and educational attainment throughout primary school.Methods and analysisiMprOVE is a longitudinal quasi-experimental cohort study. We will send a survey to all state-funded primary schools in Greater London to identify participation in TDM. The survey responses will be used for non-random allocation to either the intervention group (Daily Mile schools) or to the control group (non-Daily Mile schools). We aim to recruit 3533 year 1 children (aged 5–6 years) from 77 primary schools and follow them up annually until the end of their primary school years. Data collection taking place at baseline (children in school year 1) and each primary school year thereafter includes device-based measures of moderate-to-vigorous physical activity (MVPA) and questionnaires to measure mental health (Strengths and Difficulties Questionnaire) and educational attainment (ratings from ‘below expected’ to ‘above expected levels’). The primary outcome is the mean change in MVPA minutes from baseline to year 6 during the school day among the intervention group compared with controls. We will use multilevel linear regression models adjusting for sociodemographic data and participation in TDM. The study is powered to detect a 10% (5.5 min) difference between the intervention and control group which would be considered clinically significant.Ethics and disseminationEthics has been approved from Imperial College Research Ethics Committee, reference 20IC6127. Key findings will be disseminated to the public through research networks, social, print and media broadcasts, community engagement opportunities and schools. We will work with policy-makers for direct application and impact of our findings.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Lydia Q. Ong ◽  
John Bellettiere ◽  
Citlali Alvarado ◽  
Paul Chavez ◽  
Vincent Berardi

Abstract Background Prior research examining the relationship between cannabis use, sedentary behavior, and physical activity has generated conflicting findings, potentially due to biases in the self-reported measures used to assess physical activity. This study aimed to more precisely explore the relationship between cannabis use and sedentary behavior/physical activity using objective measures. Methods Data were obtained from the 2005–2006 National Health and Nutrition Examination Survey. A total of 2,092 participants (ages 20–59; 48.8% female) had accelerometer-measured sedentary behavior, light physical activity, and moderate-to-vigorous physical activity. Participants were classified as light, moderate, frequent, or non-current cannabis users depending on how often they used cannabis in the previous 30 days. Multivariable linear regression estimated minutes in sedentary behavior/physical activity by cannabis use status. Logistic regression modeled self-reported moderate-to-vigorous physical activity in relation to current cannabis use. Results Fully adjusted regression models indicated that current cannabis users’ accelerometer-measured sedentary behavior did not significantly differ from non-current users. Frequent cannabis users engaged in more physical activity than non-current users. Light cannabis users had greater odds of self-reporting physical activity compared to non-current users. Conclusions This study is the first to evaluate the relationship between cannabis use and accelerometer-measured sedentary behavior and physical activity. Such objective measures should be used in other cohorts to replicate our findings that cannabis use is associated with greater physical activity and not associated with sedentary behavior in order to fully assess the potential public health impact of increases in cannabis use.


Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 795
Author(s):  
Yifan Zuo ◽  
Mu Zhang ◽  
Jiayu Han ◽  
Kevin W. Chen ◽  
Zhanbing Ren

The objective of the present study was to examine the associations between residents’ physical activity, health values, and well-being during isolation. On the basis of the physical activity rating scale, health values scale, subjective well-being scale, and the satisfaction with life scale, we collected 505 valid questionnaires online from 31 provinces, municipalities, and autonomous regions in China. A series of multiple linear regression models were established to study the relationship between variables, and the bootstrap confidence interval was selected to test the mediating effect. The results showed that during the period of isolation, physical activity directly (b = 0.463, p < 0.001) or indirectly (b = 0.358, p < 0.001) had a positive impact on residents’ well-being through the mediating effect of health values. There was a positive correlation between physical activity and health values (b = 0.710, p < 0.001), while health values had a direct positive association on well-being (b = 0.504, p < 0.001). In addition, a moderate amount of physical activity was found to be more associated with the well-being of residents during home isolation compared to small and large amounts of physical activity. This study shows the importance of residents’ physical activities in home isolation. Moderate exercise at home and regular physical activity are beneficial to our physical and mental health, especially in terms of improving overall well-being.


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