IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0228373.html
   My bibliography  Save this article

National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates

Author

Listed:
  • Roberta Mendes Abreu Silva
  • Amanda Cristina de Souza Andrade
  • Waleska Teixeira Caiaffa
  • Danielle Souto de Medeiros
  • Vanessa Moraes Bezerra

Abstract

Objective: To investigate the association between sedentary behavior (SB) and sociodemographic, social support, behavioral, and health variables among Brazilian adolescents. Methods: The 2015 National Adolescent School-based Health Survey (PeNSE) was a cross-sectional study consisting of 102,072 Brazilian ninth-graders (mainly aged 13–15 years). SB was defined as the time (in hours) watching television, using a computer, playing video games, talking to friends, or doing other activities in a sitting position. For analysis purposes, SB was categorized into different cut-offs as per the sample distribution quartiles: >2 versus 4 versus 6 versus 2, >4 and >6 hours, respectively. The following characteristics were positively and significantly associated with each SB cut-off point in the final models: females, current employment, higher household economic status and higher maternal schooling, lower levels of parents checking homework, tobacco and alcohol use, soft drink and fruit consumption, and regular, poor or very poor self-assessed health status. Conversely, students who self-declared brown were less likely to be classified as a SB cut-off point. Significant associations with age, report of close friends, and physical activity varied by different SB cut-off points. Conclusion: Understanding the SB correlates in their different dimensions contributes to the identification of subgroups of adolescents with higher SB prevalence, which is crucial in the development and improvement of public policies. The demographic and behavioral characterization of these groups can guide the development of future intervention strategies, considering the school and family contexts of these adolescents.

Suggested Citation

  • Roberta Mendes Abreu Silva & Amanda Cristina de Souza Andrade & Waleska Teixeira Caiaffa & Danielle Souto de Medeiros & Vanessa Moraes Bezerra, 2020. "National Adolescent School-based Health Survey - PeNSE 2015: Sedentary behavior and its correlates," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-14, January.
    • Handle: RePEc:plo:pone00:0228373
    DOI: 10.1371/journal.pone.0228373
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228373
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0228373&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0228373?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gabriella Di Giuseppe & Concetta P. Pelullo & Maria Mitidieri & Giuseppe Lioi & Maria Pavia, 2020. "Cancer Prevention: Knowledge, Attitudes and Lifestyle Cancer-Related Behaviors among Adolescents in Italy," IJERPH, MDPI, vol. 17(22), pages 1-12, November.
    2. Marina Christofoletti & Tânia R. B. Benedetti & Felipe G. Mendes & Humberto M. Carvalho, 2021. "Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    3. Daise Fernanda Santos Souza Escobar & Priscilla Rayanne e Silva Noll & Thaís Ferreira de Jesus & Matias Noll, 2020. "Assessing the Mental Health of Brazilian Students Involved in Risky Behaviors," IJERPH, MDPI, vol. 17(10), pages 1-14, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William Magee, 2023. "Earnings, Intersectional Earnings Inequality, Disappointment in One’s Life Achievements and Life (Dis)satisfaction," Journal of Happiness Studies, Springer, vol. 24(1), pages 373-396, January.
    2. Rouse, Heather L. & Choi, Ji Young & Riser, Quentin H. & Beecher, Constance C., 2020. "Multiple risks, multiple systems, and academic achievement: A nationally representative birth-to-five investigation," Children and Youth Services Review, Elsevier, vol. 108(C).
    3. Elena Ellmeier & Melanie Koch & Thomas Scheiber, 2023. "Saving behavior along the income distribution during the COVID-19 pandemic," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/23, pages 7-21.
    4. Nerea Gómez-Fernández & Mauro Mediavilla, 2018. "Do information and communication technologies (ICT) improve educational outcomes? Evidence for Spain in PISA 2015," Working Papers 2018/20, Institut d'Economia de Barcelona (IEB).
    5. Aina M. Galmes-Panades & Escarlata Angullo & Sofía Mira-Martínez & Miquel Bennasar-Veny & Rocío Zamanillo-Campos & Rocío Gómez-Juanes & Jadwiga Konieczna & Rafael Jiménez & Maria Jesús Serrano-Ripoll , 2022. "Development and Evaluation of a Digital Health Intervention to Prevent Type 2 Diabetes in Primary Care: The PREDIABETEXT Study Protocol for a Randomised Clinical Trial," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    6. Simon Grund & Oliver Lüdtke & Alexander Robitzsch, 2018. "Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs," Journal of Educational and Behavioral Statistics, , vol. 43(3), pages 316-353, June.
    7. David Tak Wai Lui & Tingting Wu & Ivan Chi Ho Au & Xiaodong Liu & Matrix Man Him Fung & Chi Ho Lee & Carol Ho Yi Fong & Yu Cho Woo & Brian Hung Hin Lang & Kathryn Choon Beng Tan & Carlos King Ho Wong, 2023. "A Population-Based Study of SGLT2 Inhibitor-Associated Postoperative Diabetic Ketoacidosis in Patients with Type 2 Diabetes," Drug Safety, Springer, vol. 46(1), pages 53-64, January.
    8. Nerea Gómez-Fernández & Mauro Mediavilla, 2022. "Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model," Mathematics, MDPI, vol. 10(5), pages 1-29, March.
    9. Zwysen, Wouter, 2013. "Where you go depends on where you come from: the influence of father’s employment status on young adult’s labour market experiences," ISER Working Paper Series 2013-24, Institute for Social and Economic Research.
    10. Masa, Rainier & Khan, Zoheb & Chowa, Gina, 2020. "Youth food insecurity in Ghana and South Africa: Prevalence, socioeconomic correlates, and moderation effect of gender," Children and Youth Services Review, Elsevier, vol. 116(C).
    11. Xing Zhang & Anna M. Hammersmith, 2024. "Adult Children’s Marital Timing and Upward Intergenerational Financial Transfers: Variation across Gender, Race, and Ethnicity," Social Sciences, MDPI, vol. 13(10), pages 1-19, September.
    12. Arnaud Lefranc & Tista Kundu, 2020. "Inequality of Opportunity in Indian Society," Working Papers hal-02539364, HAL.
    13. Seuring, Till & Serneels, Pieter & Suhrcke, Marc & Bachmann, Max, 2020. "Diabetes, employment and behavioural risk factors in China: Marginal structural models versus fixed effects models," Economics & Human Biology, Elsevier, vol. 39(C).
    14. Carsten Schröder & Charlotte Bartels & Markus M. Grabka & Johannes König & Martin Kroh & Rainer Siegers, 2020. "A Novel Sampling Strategy for Surveying High Net‐Worth Individuals—A Pretest Application Using the Socio‐Economic Panel," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(4), pages 825-849, December.
    15. Zajacova, Anna & Montez, Jennifer Karas, 2018. "Explaining the increasing disability prevalence among mid-life US adults, 2002 to 2016," Social Science & Medicine, Elsevier, vol. 211(C), pages 1-8.
    16. David McClendon & Janet Kuo & R. Raley, 2014. "Opportunities to Meet: Occupational Education and Marriage Formation in Young Adulthood," Demography, Springer;Population Association of America (PAA), vol. 51(4), pages 1319-1344, August.
    17. Amanda L. Johnson & Caroline X. Gao & Martine Dennekamp & Grant J. Williamson & David Brown & Matthew T. C. Carroll & Jillian F. Ikin & Anthony Del Monaco & Michael J. Abramson & Yuming Guo, 2019. "Associations between Respiratory Health Outcomes and Coal Mine Fire PM 2.5 Smoke Exposure: A Cross-Sectional Study," IJERPH, MDPI, vol. 16(21), pages 1-15, November.
    18. Choi, Mi Jin, 2017. "The effects of economic factors on the out-of-home placement for maltreated children," Children and Youth Services Review, Elsevier, vol. 81(C), pages 40-53.
    19. Álvaro Choi & María Gil & Mauro Mediavilla & Javier Valbuena, 2018. "The Evolution of Educational Inequalities in Spain: Dynamic Evidence from Repeated Cross-Sections," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(3), pages 853-872, August.
    20. Zhong, Hua & Hu, Wuyang, 2015. "Farmers’ Willingness to Engage in Best Management Practices: an Application of Multiple Imputation," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196962, Southern Agricultural Economics Association.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0228373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.