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Associations Between Intersecting Sociodemographic Characteristics and Device-Measured Physical Activity Among Children and Adolescents Living in the United States.
Brown, Denver M Y; Summerville, Bryce; Fairclough, Stuart J; Mielke, Gregore I; Tyler, Richard.
Afiliación
  • Brown DMY; Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, USA.
  • Summerville B; Department of Psychology, The University of Texas at San Antonio, San Antonio, TX, USA.
  • Fairclough SJ; Department of Sport and Physical Activity, Edge Hill University, Lancashire, United Kingdom.
  • Mielke GI; School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.
  • Tyler R; Department of Sport and Physical Activity, Edge Hill University, Lancashire, United Kingdom.
J Phys Act Health ; 21(4): 384-393, 2024 Apr 01.
Article en En | MEDLINE | ID: mdl-38281485
ABSTRACT

BACKGROUND:

Despite robust evidence demonstrating sociodemographic characteristics may underly some of the disparities in physical activity observed among children and adolescents, the often-overlooked nexus of potential interactions between these characteristics warrants further exploration. This study explored the intersectionality of gender, race/ethnicity, parental education, and household income in relation to device-measured physical activity volume and intensity in a nationally representative sample of US children and adolescents.

METHODS:

Cross-sectional data from 3 cycles of the US National Health and Nutrition Survey (2011-2012; 2012 National Youth Fitness Survey; and 2013-2014) were used. A total of 6116 participants (49% female) between 3 and 17 years of age wore an accelerometer on their nondominant wrist for 7 days. Monitor-independent movement summary units were used to represent physical activity volume and intensity. A Social Jeopardy Index was created to represent increasing levels of intersecting social disadvantages based on combinations of gender, race/ethnicity, parental education, and household income-to-poverty ratio tertiles. Generalized linear regression models were computed.

RESULTS:

The results showed social disadvantages become increasingly evident among children and adolescents during the most intense 60 minutes of daily physical activity (B = -48.69 [9.94] SE, P < .001), but disparities in total volume were not observed (B = 34.01 [44.96] SE, P = .45).

CONCLUSIONS:

Findings suggest that patterns of physical activity behavior may differ based on intersecting sociodemographic characteristics-more socially disadvantaged children and adolescents appear to accumulate activity at lighter intensities. Collecting contextual information about device-measured physical activity represents an important next step for gaining insight into these sociodemographic differences.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pobreza / Ejercicio Físico Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Adolescent / Child / Female / Humans / Male / Newborn País/Región como asunto: America do norte Idioma: En Revista: J Phys Act Health Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pobreza / Ejercicio Físico Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Adolescent / Child / Female / Humans / Male / Newborn País/Región como asunto: America do norte Idioma: En Revista: J Phys Act Health Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos