IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v119y2014i3p1447-1465.html
   My bibliography  Save this article

Gender Difference in Sleep Problems: Focused on Time Use in Daily Life of Korea

Author

Listed:
  • Seung-Eun Cha
  • Ki-Soo Eun

Abstract

Korea is well-known as one of the most sleepless country on the globe. Given the fact that sleep is closely connected with various health outcomes, we examined which group is more likely to experience sleep disorder problems within the context of time use. This study sets out to describe the differences in sleep disorder patterns between Korean men and women. In this study, we also tried to identify important socio-demoraphic factors and wake activity time use factors that might account for the sleep problem (short sleep/oversleep) and gender differences in sleep. Data from the original 2004 Korean Time Use Survey were used for this study (n = 16,958). Fifty-two percent of the respondents were women; the age range of the sample was 25–59 years. Results showed us that there was no gender differences found in dimension of short sleep. Still, women were less likely to be over sleeper rather than men, implying the existence of gender inequality in rest/free time. Results from the multinomial regression model showed that, although there were similarities in the impact of relevant factors, men’s sleep was more likely to be disturbed by their work role, while women’s sleep was affected by their work and family role. In this study, it was found that the gender difference in sleep problems was associated with time use, and especially the social roles that men and women occupied. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Seung-Eun Cha & Ki-Soo Eun, 2014. "Gender Difference in Sleep Problems: Focused on Time Use in Daily Life of Korea," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(3), pages 1447-1465, December.
    • Handle: RePEc:spr:soinre:v:119:y:2014:i:3:p:1447-1465
    DOI: 10.1007/s11205-013-0550-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11205-013-0550-1
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11205-013-0550-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arber, Sara & Cooper, Helen, 1999. "Gender differences in health in later life: the new paradox?," Social Science & Medicine, Elsevier, vol. 48(1), pages 61-76, January.
    2. Sabrina Wulff Pabilonia & Charlene Marie Kalenkoski, 2009. "Time to Work or Time to Play: The Effect of Student Employment on Homework, Housework, Screen Time, and Sleep," Working Papers 423, U.S. Bureau of Labor Statistics.
    3. Chun, Heeran & Khang, Young-Ho & Kim, Il-Ho & Cho, Sung-Il, 2008. "Explaining gender differences in ill-health in South Korea: The roles of socio-structural, psychosocial, and behavioral factors," Social Science & Medicine, Elsevier, vol. 67(6), pages 988-1001, September.
    4. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
    5. John P. Robinson & William Michelson, 2010. "Sleep as a victim of the “time crunch” – A multinational analysis," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 7(1), pages 61-72, October.
    6. Kalenkoski, Charlene Marie & Pabilonia, Sabrina Wulff, 2012. "Time to work or time to play: The effect of student employment on homework, sleep, and screen time," Labour Economics, Elsevier, vol. 19(2), pages 211-221.
    7. Arber, Sara & Bote, Marcos & Meadows, Robert, 2009. "Gender and socio-economic patterning of self-reported sleep problems in Britain," Social Science & Medicine, Elsevier, vol. 68(2), pages 281-289, January.
    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. Seung-Eun Cha & Ki-Soo Eun, 2018. "Convergence in Sleep Time Accomplished? Gender Gap in Sleep Time for Middle-Aged Adults in Korea," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    2. Seung-Eun Cha & Yoo-Jean Song, 2017. "Time or Money: The Relationship Between Educational Attainment, Income Contribution, and Time with Children Among Korean Fathers," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 134(1), pages 195-218, October.
    3. Jara-Díaz, Sergio R. & Rosales-Salas, Jorge, 2020. "Time use: The role of sleep," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 1-20.
    4. Mi-Joon Lee & Bum-Jeun Seo & Inmyung Song, 2023. "Sleep Deficit as a Risk Factor for Hypertension in Korean Adults," Sustainability, MDPI, vol. 15(3), pages 1-14, February.

    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. Santosh Jatrana, 2021. "Gender differences in self-reported health and psychological distress among New Zealand adults," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(21), pages 693-726.
    2. Rokicka, Magdalena, 2014. "The impact of students’ part-time work on educational outcomes," ISER Working Paper Series 2014-42, Institute for Social and Economic Research.
    3. Anura Amarasinghe & Gerard D'Souza & Cheryl Brown & Tatiana Borisova, 2006. "A Spatial Analysis of Obesity in West Virginia," Working Papers Working Paper 2006-13, Regional Research Institute, West Virginia University.
    4. John Komlos, 2009. "Recent Trends in Height by Gender and Ethnicity in the US in Relation to Levels of Income," NBER Working Papers 14635, National Bureau of Economic Research, Inc.
    5. repec:rre:publsh:v:39:y:2009:i:2:p:149-69 is not listed on IDEAS
    6. Beghin, John C. & Jensen, Helen H., 2008. "Farm policies and added sugars in US diets," Food Policy, Elsevier, vol. 33(6), pages 480-488, December.
    7. Chouinard, Hayley H & Davis, David E. & LaFrance, Jeffrey T. & Perloff, Jeffrey M, 2005. "The Effects of a Fat Tax on Dairy Products," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt60t1f3tn, Department of Agricultural & Resource Economics, UC Berkeley.
    8. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    9. Carlin, Paul S. & Kidd, Michael P. & Ulubaşoğlu, Mehmet A., 2013. "Does legal heritage affect obesity? The channel of motor vehicle dependence," Journal of Comparative Economics, Elsevier, vol. 41(2), pages 621-633.
    10. Giuntella, Osea & Rieger, Matthias & Rotunno, Lorenzo, 2020. "Weight gains from trade in foods: Evidence from Mexico," Journal of International Economics, Elsevier, vol. 122(C).
    11. Richard Volpe & Edward C Jaenicke & Lauren Chenarides, 2018. "Store Formats, Market Structure, and Consumers’ Food Shopping Decisions," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 40(4), pages 672-694, December.
    12. Johannesson Magnus & Östling Robert & Ranehill Eva, 2010. "The Effect of Competition on Physical Activity: A Randomized Trial," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(1), pages 1-31, September.
    13. Tansel, Aysit & Karao?lan, Deniz, 2016. "The Causal Effect of Education on Health Behaviors: Evidence from Turkey," IZA Discussion Papers 10020, Institute of Labor Economics (IZA).
    14. Yakusheva, Olga & Kapinos, Kandice & Weiss, Marianne, 2011. "Peer effects and the Freshman 15: Evidence from a natural experiment," Economics & Human Biology, Elsevier, vol. 9(2), pages 119-132, March.
    15. Shapiro, Jesse M., 2005. "Is there a daily discount rate? Evidence from the food stamp nutrition cycle," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 303-325, February.
    16. Chih-Chien Huang & Scott T. Yabiku & Stephanie L. Ayers & Jennie J. Kronenfeld, 2016. "The obesity pay gap: gender, body size, and wage inequalities—a longitudinal study of Chinese adults, 1991–2011," Journal of Population Research, Springer, vol. 33(3), pages 221-242, September.
    17. Mihajlović Iris & Djevojić Cvijeta & Stanković Marino, 2023. "Adolescent Well-being and Life Satisfaction: Impact of Digital Technology Usage," Business Systems Research, Sciendo, vol. 14(2), pages 124-144, December.
    18. Eunkyo Kang & Ye Eun Rhee & Soojeong Kim & Jihye Lee & Young Ho Yun, 2021. "Quality of Life and Depression in the General Korean Population: Normative Data and Associations of the 12-Item Short Form Health Survey (SF-12) and the McGill Quality of Life Questionnaire (MQOL) wit," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 16(4), pages 1673-1687, August.
    19. Susan L. Ettner & Betsy L. Cadwell & Louise B. Russell & Arleen Brown & Andrew J. Karter & Monika Safford & Carol Mangione & Gloria Beckles & William H. Herman & Theodore J. Thompson & and The TRIAD S, 2009. "Investing time in health: do socioeconomically disadvantaged patients spend more or less extra time on diabetes self‐care?," Health Economics, John Wiley & Sons, Ltd., vol. 18(6), pages 645-663, June.
    20. Sabrina Wulff Pabilonia, 2017. "Teenagers’ risky health behaviors and time use during the great recession," Review of Economics of the Household, Springer, vol. 15(3), pages 945-964, September.
    21. Euna Han & Lisa M. Powell, 2013. "Fast Food Prices And Adult Body Weight Outcomes: Evidence Based On Longitudinal Quantile Regression Models," Contemporary Economic Policy, Western Economic Association International, vol. 31(3), pages 528-536, July.

    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:spr:soinre:v:119:y:2014:i:3:p:1447-1465. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.