IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i9p2055-d170879.html
   My bibliography  Save this article

Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

Author

Listed:
  • Wenwen Wu

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

  • Wenru Wang

    (Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore)

  • Zhuangzhuang Dong

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

  • Yaofei Xie

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

  • Yaohua Gu

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

  • Yuting Zhang

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

  • Mengying Li

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

  • Xiaodong Tan

    (Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University; Wuhan 430071, China)

Abstract

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

Suggested Citation

  • Wenwen Wu & Wenru Wang & Zhuangzhuang Dong & Yaofei Xie & Yaohua Gu & Yuting Zhang & Mengying Li & Xiaodong Tan, 2018. "Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study," IJERPH, MDPI, vol. 15(9), pages 1-18, September.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:2055-:d:170879
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/9/2055/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/9/2055/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chandra L. Jackson & Symielle A. Gaston & Rui Liu & Kenneth Mukamal & Eric B. Rimm, 2018. "The Relationship between Alcohol Drinking Patterns and Sleep Duration among Black and White Men and Women in the United States," IJERPH, MDPI, vol. 15(3), pages 1-16, March.
    2. 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. Yaxuan Zhang & Jiwei Wang & Xinyuan Lu & Beibei Che & Jinming Yu, 2021. "Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China," IJERPH, MDPI, vol. 18(3), pages 1-13, January.

    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. Costa-Font, Joan & Flèche, Sarah, 2020. "Child sleep and mother labour market outcomes," Journal of Health Economics, Elsevier, vol. 69(C).
    2. Joan Costa-Font & Sarah Flèche, 2018. "Child Sleep and Maternal Labour Market Outcomes [Discussion Paper Series]," Working Papers halshs-03204629, HAL.
    3. Costa-Font, Joan & Fleche, Sarah & Pagan, Ricardo, 2024. "The labour market returns to sleep," Journal of Health Economics, Elsevier, vol. 93(C).
    4. Costa-Font, Joan & Flèche, Sarah, 2017. "Parental sleep and employment: evidence from a British cohort study," LSE Research Online Documents on Economics 69530, London School of Economics and Political Science, LSE Library.
    5. Högnäs, Robin S. & Bijlsma, Maarten J. & Högnäs, Ulf & Blomqvist, Sandra & Westerlund, Hugo & Hanson, Linda Magnusson, 2022. "It's giving me the blues: A fixed-effects and g-formula approach to understanding job insecurity, sleep disturbances, and major depression," Social Science & Medicine, Elsevier, vol. 297(C).
    6. Katarzyna Zatońska & Alicja Basiak-Rasała & Katarzyna Połtyn-Zaradna & Krystian Kinastowski & Andrzej Szuba, 2021. "Sleep Duration and Bedtime in the PURE Poland Cohort Study and the Link with Noncommunicable Diseases," IJERPH, MDPI, vol. 19(1), pages 1-11, December.
    7. Nettleton, Sarah & Neale, Joanne & Pickering, Lucy, 2011. "Techniques and transitions: A sociological analysis of sleeping practices amongst recovering heroin users," Social Science & Medicine, Elsevier, vol. 72(8), pages 1367-1373, April.
    8. 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.
    9. Lee, Chioun & Tsenkova, Vera & Carr, Deborah, 2014. "Childhood trauma and metabolic syndrome in men and women," Social Science & Medicine, Elsevier, vol. 105(C), pages 122-130.
    10. Vera Straat & Piet Bracke, 2015. "How well does Europe sleep? A cross-national study of sleep problems in European older adults," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(6), pages 643-650, September.
    11. Arber, Sara & Fenn, Kirsty & Meadows, Robert, 2014. "Subjective financial well-being, income and health inequalities in mid and later life in Britain," Social Science & Medicine, Elsevier, vol. 100(C), pages 12-20.
    12. 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.
    13. Bassett, Emma & Moore, Spencer, 2014. "Neighbourhood disadvantage, network capital and restless sleep: Is the association moderated by gender in urban-dwelling adults?," Social Science & Medicine, Elsevier, vol. 108(C), pages 185-193.
    14. Anna Nyberg & Linda L Magnusson Hanson & Constanze Leineweber & Gunn Johansson, 2015. "Do Predictors of Career Success Differ between Swedish Women and Men? Data from the Swedish Longitudinal Occupational Survey of Health (SLOSH)," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-12, October.
    15. García-Calvente, Mar & Marcos-Marcos, Jorge & del Río-Lozano, María & Hidalgo-Ruzzante, Natalia & Maroto-Navarro, Gracia, 2012. "Embedded gender and social changes underpinning inequalities in health: An ethnographic insight into a local Spanish context," Social Science & Medicine, Elsevier, vol. 75(12), pages 2225-2232.
    16. Claire E. Altman & Bridget K. Gorman & Sergio Chávez, 2018. "Exposure to Violence, Coping Strategies, and Diagnosed Mental Health Problems Among Adults in a Migrant-Sending Community in Central Mexico," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(2), pages 229-260, April.
    17. Diogo Lamela & Bárbara Figueiredo & Alice Bastos, 2014. "The Portuguese Version of the Psychological Adjustment to Separation Test-Part A (PAST-A): A Study with Recently and Non-recently Divorced Adults," Journal of Happiness Studies, Springer, vol. 15(2), pages 387-406, April.

    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:15:y:2018:i:9:p:2055-:d:170879. 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.