IDEAS home Printed from https://ideas.repec.org/a/ibn/jedpjl/v9y2019i2p26.html
   My bibliography  Save this article

Associations Between Non-Cognitive Skills, Self-Rated Health, Life Style, and Concern About Food in 6-16-Year-Old Japanese Students

Author

Listed:
  • Tomoko Osera
  • Mitsuyo Awai
  • Misako Kobayashi
  • Setsuko Tsutie
  • Nobutaka Kurihara

Abstract

Little is known about the effects of the non-cognitive skills on health. In this study, questionnaires were distributed to 1,658 school children aged 6–16 years and their parents in Hyogo Prefecture in Japan, who completed them at home and returned them in Freepost envelopes. The questionnaires included items about the child and his/her self-rated health (SRH), lifestyle, food-related habits and attitudes. The responses were anonymous and unidentifiable. Associations between the independent variables and high/low non-cognitive skills were assessed with the χ2 test or Fisher’s exact test at a 5% level of significance. Groups with high and low non-cognitive skills were defined and factors that differed significantly between them were examined using logistic regression analysis. In total, 496 (29.9%) returned both completed questionnaires. In this study, we separated the children and students aged 6–12 and 13–16 years, respectively. Furthermore, we categorized them according to the Japanese education system. Among the children aged 6–12 years, the high non-cognitive skills group suffered fewer headaches, went to bed earlier, had a greater preference for home-cooked meals, and had better exercise habits compared with the low non-cognitive skills group. In the students aged 13–16 years, the high non-cognitive skills group experienced fewer headaches, went to bed earlier, had a greater preference for home-cooked meals, and had better exercise habits compared with the low non-cognitive skills group. In conclusion, the findings of this study suggested that a high level of non-cognitive skills was associated with high SRH and greater concern about food.

Suggested Citation

  • Tomoko Osera & Mitsuyo Awai & Misako Kobayashi & Setsuko Tsutie & Nobutaka Kurihara, 2019. "Associations Between Non-Cognitive Skills, Self-Rated Health, Life Style, and Concern About Food in 6-16-Year-Old Japanese Students," Journal of Educational and Developmental Psychology, Canadian Center of Science and Education, vol. 9(2), pages 1-26, November.
    • Handle: RePEc:ibn:jedpjl:v:9:y:2019:i:2:p:26
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/jedp/article/download/0/0/40019/41098
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/jedp/article/view/0/40019
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    2. James J. Heckman, 2007. "The Economics, Technology and Neuroscience of Human Capability Formation," NBER Working Papers 13195, National Bureau of Economic Research, Inc.
    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. Lin, Dajun & Lutter, Randall & Ruhm, Christopher J., 2018. "Cognitive performance and labour market outcomes," Labour Economics, Elsevier, vol. 51(C), pages 121-135.
    2. By Tyas Prevoo & Bas ter Weel, 2015. "The importance of early conscientiousness for socio-economic outcomes: evidence from the British Cohort Study," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 918-948.
    3. Tim Lohse & Peter Lutz & Christian Thomann, 2013. "Redistributional consequences of early childhood intervention," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 373-381, June.
    4. Sarrias, Mauricio & Blanco, Alejandra, 2022. "Bodyweight and human capital development: Assessing the impact of obesity on socioemotional skills during childhood in Chile," Economics & Human Biology, Elsevier, vol. 47(C).
    5. Ylenia Brilli, 2022. "Mother’s Time Allocation, Childcare, and Child Cognitive Development," Journal of Human Capital, University of Chicago Press, vol. 16(2), pages 233-272.
    6. Didier Fouarge & Trudie Schils & Andries de Grip, 2013. "Why do low-educated workers invest less in further training?," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2587-2601, June.
    7. Achyuta Adhvaryu & James Fenske & Anant Nyshadham, 2019. "Early Life Circumstance and Adult Mental Health," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1516-1549.
    8. Larrú, José María, 2012. "Evaluar para aprender. Eficiencia en salud y desarrollo [Evaluating for learning. Efficiency in health and development]," MPRA Paper 38788, University Library of Munich, Germany.
    9. Pfeiffer, Friedhelm & Reuß, Karsten, 2008. "Age-dependent skill formation and returns to education," Labour Economics, Elsevier, vol. 15(4), pages 631-646, August.
    10. Xu, Hui & Zhang, Zheyuan & Zhao, Zhong, 2023. "Parental socioeconomic status and children’s cognitive ability in China," Journal of Asian Economics, Elsevier, vol. 84(C).
    11. Bharti, Nitin Kumar & Roy, Sutanuka, 2023. "The early origins of judicial stringency in bail decisions: Evidence from early childhood exposure to Hindu-Muslim riots in India," Journal of Public Economics, Elsevier, vol. 221(C).
    12. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    13. Yuda, Michio, 2020. "Childhood health and future outcomes: Evidence from panel surveys for the Japanese population," Japan and the World Economy, Elsevier, vol. 54(C).
    14. Sahn, David E. & Villa, Kira M., 2015. "The Role of Personality, Cognition and Shocks in Determining Age of Entry into Labor Market, Sector of Employment, and within Sector Earnings," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205673, Agricultural and Applied Economics Association.
    15. Flavio Cunha & James J. Heckman, 2009. "The Economics and Psychology of Inequality and Human DEvelopment," Journal of the European Economic Association, MIT Press, vol. 7(2-3), pages 320-364, 04-05.
    16. Sutter, Matthias & Angerer, Silvia & Glätzle-Rützler, Daniela & Lergetporer, Philipp, 2018. "Language group differences in time preferences: Evidence from primary school children in a bilingual city," European Economic Review, Elsevier, vol. 106(C), pages 21-34.
    17. Huong Thu Le & Ha Trong Nguyen, 2017. "Parental health and children's cognitive and noncognitive development: New evidence from the longitudinal survey of Australian children," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1767-1788, December.
    18. Ida Lovén & Katarina Steen Carlsson, 2017. "Early Onset of Type 1 Diabetes and Educational Field at Upper Secondary and University Level: Is Own Experience an Asset for a Health Care Career?," IJERPH, MDPI, vol. 14(7), pages 1-23, June.
    19. Balsa, Ana & Gandelman, Néstor & Roldán, Flavia, 2015. "Peer Effects in the Development of Capabilities in Adolescence," Research Department working papers 820, CAF Development Bank Of Latinamerica.
    20. Björn Bartling & Ernst Fehr & Daniel Schunk, 2012. "Health effects on children’s willingness to compete," Experimental Economics, Springer;Economic Science Association, vol. 15(1), pages 58-70, March.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:jedpjl:v:9:y:2019:i:2:p:26. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.