IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i15p8227-d607573.html
   My bibliography  Save this article

Association of Parental Socioeconomic Status and Physical Activity with Development of Arterial Stiffness in Prepubertal Children

Author

Listed:
  • Giulia Lona

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Christoph Hauser

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Svea Bade

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Sabrina Köchli

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Denis Infanger

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Katharina Endes

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Oliver Faude

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

  • Henner Hanssen

    (Department of Sport, Exercise and Health, Medical Faculty, University of Basel, 4052 Basel, Switzerland)

Abstract

The present study examined the prospective association of parental household income, education level, migration background, and physical activity (PA) behavior with the development of pulse wave velocity (PWV) in prepubertal children. A total of 223 children (initial age 6–8 years) were included in this prospective school-based cohort study from 2014 to 2018. Parental socioeconomic status, migration background, and PA behavior were assessed by the use of questionnaires at both times points. PWV was measured by an oscillometric device at follow-up (2018). No significant association of household income, education level, and parental migration background with PWV in children after four years was found. However, a high level of maternal PA was related to a lower childhood PWV at follow-up (mean (95% CI) 4.6 (4.54–4.66) m/s) compared to children of mothers with a low PA behavior (mean (95% CI) 4.7 (4.64–4.77) m/s) ( p = 0.049). Children of mothers with a high PA level revealed a beneficial arterial stiffness after four years. Little evidence for an association of socioeconomic status and migration background with childhood arterial stiffness was found. Increased parental PA seems to support the development of childhood vascular health and should be considered in the generation of future primary prevention strategies of childhood cardiovascular health.

Suggested Citation

  • Giulia Lona & Christoph Hauser & Svea Bade & Sabrina Köchli & Denis Infanger & Katharina Endes & Oliver Faude & Henner Hanssen, 2021. "Association of Parental Socioeconomic Status and Physical Activity with Development of Arterial Stiffness in Prepubertal Children," IJERPH, MDPI, vol. 18(15), pages 1-12, August.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8227-:d:607573
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/15/8227/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/15/8227/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Winkleby, M.A. & Jatulis, D.E. & Frank, E. & Fortmann, S.P., 1992. "Socioeconomic status and health: How education, income, and occupation contribute to risk factors for cardiovascular disease," American Journal of Public Health, American Public Health Association, vol. 82(6), pages 816-820.
    Full references (including those not matched with items on IDEAS)

    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. M. Vernay & B. Salanave & C. Peretti & C. Druet & A. Malon & V. Deschamps & S. Hercberg & K. Castetbon, 2013. "Metabolic syndrome and socioeconomic status in France: The French Nutrition and Health Survey (ENNS, 2006–2007)," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(6), pages 855-864, December.
    2. Syed Hasan & Odmaa Narantungalag, & Martin Berka, 2022. "The intended and unintended consequences of large electricity subsidies: evidence from Mongolia," Discussion Papers 2202, School of Economics and Finance, Massey University, New Zealand.
    3. Melissa P L Chan & Robert S Weinhold & Reuben Thomas & Julia M Gohlke & Christopher J Portier, 2015. "Environmental Predictors of US County Mortality Patterns on a National Basis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-25, December.
    4. Ching-Jung Yu & Jung-Chieh Du & Hsien-Chih Chiou & Chun-Cheng Feng & Ming-Yi Chung & Winnie Yang & Ying-Sheue Chen & Ling-Chu Chien & Betau Hwang & Mei-Lien Chen, 2016. "Sugar-Sweetened Beverage Consumption Is Adversely Associated with Childhood Attention Deficit/Hyperactivity Disorder," IJERPH, MDPI, vol. 13(7), pages 1-18, July.
    5. Apouey, Bénédicte & Geoffard, Pierre-Yves, 2013. "Family income and child health in the UK," Journal of Health Economics, Elsevier, vol. 32(4), pages 715-727.
    6. Carlo Castellana, 2012. "Impact of the economic crisis on the Italian public healthcare expenditure," Papers 1205.2863, arXiv.org.
    7. Amélie Adeline & Ismaël Choinière Crèvecoeur & Raquel Fonseca & Pierre-Carl Michaud, 2019. "Income Volatility, Health and Well-Being," Cahiers de recherche / Working Papers 1906, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
    8. Stacey, Brian, 2015. "Econometric Predictions From Demographic Factors Affecting Overall Health," MPRA Paper 68915, University Library of Munich, Germany, revised 06 Dec 2015.
    9. Maria Klonowska-Matynia & Radosław Sobko, 2021. "Spatial Analysis of the Relationship between Health Capital and the Level of Health Care Expenditure in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 133-151.
    10. Xiangdan Piao & Xinxin Ma & Chi Zhang & Shunsuke Managi, 2020. "Impact of Gaps in the Educational Levels between Married Partners on Health and a Sustainable Lifestyle: Evidence from 32 Countries," Sustainability, MDPI, vol. 12(11), pages 1-20, June.
    11. Yunyun Jiang & Haitao Zheng & Tianhao Zhao, 2019. "Socioeconomic Status and Morbidity Rate Inequality in China: Based on NHSS and CHARLS Data," IJERPH, MDPI, vol. 16(2), pages 1-19, January.
    12. repec:max:cprpbr:007 is not listed on IDEAS
    13. Andrea Serge & Johana Quiroz Montoya & Francisco Alonso & Luis Montoro, 2021. "Socioeconomic Status, Health and Lifestyle Settings as Psychosocial Risk Factors for Road Crashes in Young People: Assessing the Colombian Case," IJERPH, MDPI, vol. 18(3), pages 1-22, January.
    14. Dylan B. Jackson & Alexander Testa & Krista P. Woodward & Farah Qureshi & Kyle T. Ganson & Jason M. Nagata, 2022. "Adverse Childhood Experiences and Cardiovascular Risk among Young Adults: Findings from the 2019 Behavioral Risk Factor Surveillance System," IJERPH, MDPI, vol. 19(18), pages 1-18, September.
    15. Smith, Kimberly V. & Goldman, Noreen, 2007. "Socioeconomic differences in health among older adults in Mexico," Social Science & Medicine, Elsevier, vol. 65(7), pages 1372-1385, October.
    16. Pedron, Sara & Maier, Werner & Peters, Annette & Linkohr, Birgit & Meisinger, Christine & Rathmann, Wolfgang & Eibich, Peter & Schwettmann, Lars, 2020. "The effect of retirement on biomedical and behavioral risk factors for cardiovascular and metabolic disease," Economics & Human Biology, Elsevier, vol. 38(C).
    17. Barry A. Franklin & Akash Rusia & Cindy Haskin-Popp & Adam Tawney, 2021. "Chronic Stress, Exercise and Cardiovascular Disease: Placing the Benefits and Risks of Physical Activity into Perspective," IJERPH, MDPI, vol. 18(18), pages 1-17, September.
    18. Andrea Maugeri & Martina Barchitta & Valerio Fiore & Giuliana Rosta & Giuliana Favara & Claudia La Mastra & Maria Clara La Rosa & Roberta Magnano San Lio & Antonella Agodi, 2019. "Determinants of Adherence to the Mediterranean Diet: Findings from a Cross-Sectional Study in Women from Southern Italy," IJERPH, MDPI, vol. 16(16), pages 1-14, August.
    19. Shervin Assari & Maryam Moghani Lankarani, 2018. "Educational Attainment Promotes Fruit and Vegetable Intake for Whites but Not Blacks," J, MDPI, vol. 1(1), pages 1-13, June.
    20. Weden, Margaret M & Astone, Nan M & Bishai, David, 2006. "Racial, ethnic, and gender differences in smoking cessation associated with employment and joblessness through young adulthood in the US," Social Science & Medicine, Elsevier, vol. 62(2), pages 303-316, January.
    21. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.

    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:gam:jijerp:v:18:y:2021:i:15:p:8227-:d:607573. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.