Associations Between Intersecting Sociodemographic Characteristics and Device-Measured Physical Activity Among Children and Adolescents Living in the United States

被引:1
作者
Brown, Denver M. Y. [1 ]
Summerville, Bryce [1 ]
Fairclough, Stuart J. [2 ]
Mielke, Gregore I. [3 ]
Tyler, Richard [2 ]
机构
[1] Univ Texas San Antonio, Dept Psychol, San Antonio, TX 78249 USA
[2] Edge Hill Univ, Dept Sport & Phys Act, Ormskirk, Lancs, England
[3] Univ Queensland, Sch Human Movement & Nutr Sci, Brisbane, Qld, Australia
关键词
accelerometry; youth; epidemiology; social determinants; NHANES; LOW-INCOME; ACCELEROMETER; HEALTH; PARTICIPATION; BEHAVIOR; PLAY;
D O I
10.1123/jpah.2023-0360
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:384 / 393
页数:10
相关论文
共 57 条
  • [1] [Anonymous], 2020, Leading health indicators 2030: Advancing health, equity, and well-being, DOI DOI 10.17226/25682
  • [2] Organized Sports and Unstructured Active Play as Physical Activity Sources in Children From Low-Income Chicago Households
    Appelhans, Bradley M.
    Li, Hong
    [J]. PEDIATRIC EXERCISE SCIENCE, 2016, 28 (03) : 381 - 387
  • [3] Association of Physical Activity With Income, Race/Ethnicity, and Sex Among Adolescents and Young Adults in the United States Findings From the National Health and Nutrition Examination Survey, 2007-2016
    Armstrong, Sarah
    Wong, Charlene A.
    Perrin, Eliana
    Page, Sara
    Sibley, Lauren
    Skinner, Asheley
    [J]. JAMA PEDIATRICS, 2018, 172 (08) : 732 - 740
  • [4] Ball K., 2015, Health Promotion International, V30, pii8
  • [5] The relationship between physical literacy scores and adherence to Canadian physical activity and sedentary behaviour guidelines
    Belanger, Kevin
    Barnes, Joel D.
    Longmuir, Patricia E.
    Anderson, Kristal D.
    Bruner, Brenda
    Copeland, Jennifer L.
    Gregg, Melanie J.
    Hall, Nathan
    Kolen, Angela M.
    Lane, Kirstin N.
    Law, Barbi
    MacDonald, Dany J.
    Martin, Luc J.
    Saunders, Travis J.
    Sheehan, Dwayne
    Stone, Michelle
    Woodruff, Sarah J.
    Tremblay, Mark S.
    [J]. BMC PUBLIC HEALTH, 2018, 18
  • [6] US Population-referenced Percentiles for Wrist-Worn Accelerometer-derived Activity
    Belcher, Britni R.
    Wolff-Hughes, Dana L.
    Dooley, Erin E.
    Staudenmayer, John
    Berrigan, David
    Eberhardt, Mark S.
    Troiano, Richard P.
    [J]. MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2021, 53 (11) : 2455 - 2464
  • [7] Self-Reported Versus Accelerometer-Measured Physical Activity and Biomarkers Among NHANES Youth
    Belcher, Britni R.
    Moser, Richard P.
    Dodd, Kevin W.
    Atienza, Audie
    Ballard-Barbash, Rachel
    Berrigan, David
    [J]. JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2015, 12 (05) : 708 - 716
  • [8] Biddle SJ, 2005, J Phys Act Heal, V2, P423, DOI 10.1123/jpah.2.4.423
  • [9] Physical activity and mental health in children and adolescents: An updated review of reviews and an analysis of causality
    Biddle, Stuart J. H.
    Ciaccioni, Simone
    Thomas, George
    Vergeer, Ineke
    [J]. PSYCHOLOGY OF SPORT AND EXERCISE, 2019, 42 : 146 - 155
  • [10] Psychological and Behavioral Correlates of Early Adolescents' Physical Literacy
    Blain, Dylan O.
    Curran, Thomas
    Standage, Martyn
    [J]. JOURNAL OF TEACHING IN PHYSICAL EDUCATION, 2021, 40 (01) : 157 - 165