Dataset Information

Adolescent and Young Adult Recreational, Occupational, and Transportation Activity: Activity Recommendation and Weight Status Relationships.

ABSTRACT: PURPOSE:Physical activity can occur in many settings, or domains, including recreation, occupation, and transportation. We described patterns of adolescent and young adult (YA) activity in each domain, and the extent that accounting for different domains impacts activity recommendation adherence. We also examined activity domain associations with weight status. METHODS:We examined physical activity among 11,157 adolescents and YAs in recreational, occupational, and transportation domains in the 2007-2016 National Health and Nutrition Examination Survey. We calculated proportions meeting weekly activity recommendations (adolescents: 420 minutes; YAs: 150 minutes) by domain. We compared adjusted odds of performing any activity in each domain by weight status. All estimates are weighted and stratified by age (adolescents: 12-19 years; YAs: 20-29 years) and sex. RESULTS:Most adolescents (90.9%) and YAs (86.7%) reported activity in at least one domain. Recreational activity accounted for an average of 60.2% (adolescents) and 42.5% (YAs) of an individual's total activity. Approximately half of YAs (50.2%) reported any occupational activity, which accounted for 44.6% (males) and 37.4% (females) of total activity minutes. Transportation accounted for 18.1% (adolescents) and 16.2% (YAs) of total activity. Activity recommendation adherence estimates increased when adding domains: recreation alone (34.9% adolescents, 45.6% YAs); recreation and occupation (47.2% adolescents, 68.7% YAs); and recreation, occupation, and transportation (53.5% adolescents, 74.7% YAs). Weight status was generally not associated with activity domains. CONCLUSIONS:Adolescents and YAs accumulate substantial occupational and some transportation-related physical activity, resulting in more youth meeting activity recommendations when accounting for these activity domains than recreation alone.

SUBMITTER: Moseley CA

PROVIDER: S-EPMC6589358 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Adolescent and Young Adult Recreational, Occupational, and Transportation Activity: Activity Recommendation and Weight Status Relationships.

Moseley Connor A CA Skinner Asheley C AC Perrin Eliana M EM Armstrong Sarah C SC Peterson Eric D ED Wong Charlene A CA

The Journal of adolescent health : official publication of the Society for Adolescent Medicine 20190401 1

<h4>Purpose</h4>Physical activity can occur in many settings, or domains, including recreation, occupation, and transportation. We described patterns of adolescent and young adult (YA) activity in each domain, and the extent that accounting for different domains impacts activity recommendation adherence. We also examined activity domain associations with weight status.<h4>Methods</h4>We examined physical activity among 11,157 adolescents and YAs in recreational, occupational, and transportation ...[more]

PMID: 30948270

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Project description:BackgroundAdolescence is a critical point in the realization of human capital, as health and educational decisions with long-term impacts are made. We examined the role of early childhood experiences on health, cognitive abilities, and educational outcomes of adolescents followed up from a longitudinal cohort study in Pakistan, hypothesizing that early childhood experiences reflecting poverty would manifest in reduced health and development in adolescence.Methods and findingsAdolescents/young adults previously followed as children aged under 5 years were interviewed. Childhood data were available on diarrhea, pneumonia, and parental/household characteristics. New data were collected on health, anthropometry, education, employment, and languages spoken; nonverbal reasoning was assessed. A multivariable Bayesian network was constructed to explore structural relationships between variables. Of 1,868 children originally enrolled, 1,463 (78.3%) were interviewed as adolescents (range 16.0-29.3 years, mean age 22.6 years); 945 (65%) lived in Oshikhandass. While 1,031 (70.5%) of their mothers and 440 (30.1%) of their fathers had received no formal education, adolescents reported a mean of 11.1 years of education. Childhood diarrhea (calculated as episodes/child-year) had no association with nonverbal reasoning score (an arc was supported in just 4.6% of bootstrap samples), health measures (with BMI, 1% of bootstrap samples; systolic and diastolic blood pressure, 0.1% and 1.6% of bootstrap samples, respectively), education (0.7% of bootstrap samples), or employment (0% of bootstrap samples). Relationships were found between nonverbal reasoning and adolescent height (arc supported in 63% of bootstrap samples), age (84%), educational attainment (100%), and speaking English (100%); speaking English was linked to the childhood home environment, mediated through maternal education and primary language. Speaking English (n = 390, 26.7% of adolescents) was associated with education (100% of bootstrap samples), self-reported child health (82%), current location (85%) and variables describing childhood socioeconomic status. The main limitations of this study were the lack of parental data to characterize the home setting (including parental mental and physical health, and female empowerment) and reliance on self-reporting of health status.ConclusionsIn this population, investments in education, especially for females, are associated with an increase in human capital. Against the backdrop of substantial societal change, with the exception of a small and indirect association between childhood malnutrition and cognitive scores, educational opportunities and cultural language groups have stronger associations with aspects of human capital than childhood morbidity.

Dataset Information

Adolescent and Young Adult Recreational, Occupational, and Transportation Activity: Activity Recommendation and Weight Status Relationships.

Publications

Adolescent and Young Adult Recreational, Occupational, and Transportation Activity: Activity Recommendation and Weight Status Relationships.

Similar Datasets

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