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Prevalence and related factors of successful aging among Chinese rural elders living in nursing homes

Author

Listed:
  • Menglian Wu

    (Shandong University)

  • Yang Yang

    (Shandong University)

  • Dan Zhang

    (Shandong University)

  • Yaoyao Sun

    (Shandong University)

  • Hui Xie

    (Shandong University)

  • Jie Zhang

    (Shandong University
    State University of New York Buffalo State)

  • Jihui Jia

    (Shandong University)

  • Yonggang Su

    (Shandong University
    Shandong University)

Abstract

Few studies focus on the prevalence and related factors of successful aging (SA) among Chinese rural elders living in nursing homes. This study aims to make an operational definition of successful aging, estimate the prevalence of SA, and identify factors related to SA among Chinese rural elders living in nursing homes. Data for this cross-sectional study were collected by face-to-face interviews in five rural public nursing homes. A total of 205 elders aged 60 years and above were asked to answer a series of questions. Descriptive analysis, independent sample t tests, χ 2 tests, and multivariate logistic regression were used to show the prevalence and related factors of SA. The prevalence of SA in this population is 17.6% based on a multidimensional construct composed of: few chronic diseases, good cognitive and physical functioning, good mental health, and active social engagement. The logistic regression results indicate that successful agers are more likely to be younger, married, resilient, and better off economically, whereas gender, education, and social support are not related to SA independently. This model accounts for 45.8% of the variance in SA. These results suggest some tentative recommendations for elders, relevant decision-makers or employees in nursing homes, and administrative bodies. More rigorous longitudinal design is necessary to investigate the causality of the related factors and SA.

Suggested Citation

  • Menglian Wu & Yang Yang & Dan Zhang & Yaoyao Sun & Hui Xie & Jie Zhang & Jihui Jia & Yonggang Su, 2017. "Prevalence and related factors of successful aging among Chinese rural elders living in nursing homes," European Journal of Ageing, Springer, vol. 14(4), pages 419-428, December.
    • Handle: RePEc:spr:eujoag:v:14:y:2017:i:4:d:10.1007_s10433-017-0423-6
    DOI: 10.1007/s10433-017-0423-6
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    References listed on IDEAS

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    1. Hava Tovel & Sara Carmel, 2014. "Maintaining Successful Aging: The Role of Coping Patterns and Resources," Journal of Happiness Studies, Springer, vol. 15(2), pages 255-270, April.
    2. Pei Gan & Yan Xie & Wenjie Duan & Qing Deng & Xiuli Yu, 2015. "Rumination and Loneliness Independently Predict Six-Month Later Depression Symptoms among Chinese Elderly in Nursing Homes," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    3. W. Yeung & Zhenhua Xu, 2012. "Economic Stress, Quality of Life, and Mortality for the Oldest-Old in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 108(1), pages 131-152, August.
    4. Roos, N.P. & Havens, B., 1991. "Predictors of successful aging: A twelve-year study of Manitoba elderly," American Journal of Public Health, American Public Health Association, vol. 81(1), pages 63-68.
    5. Rachel A. Pruchno & Maureen Wilson-Genderson & Francine Cartwright, 2010. "A Two-Factor Model of Successful Aging," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 65(6), pages 671-679.
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    Cited by:

    1. Liping Fu & Yuhui Wang & Lanping He, 2020. "Factors Associated with the Psychological Health of Caregiving Older Parents and Support from Their Grown Children: Results from the China Health and Retirement Longitudinal Study," IJERPH, MDPI, vol. 17(2), pages 1-11, January.
    2. Hui Chang & Jia Zhou & Zhiwen Wang, 2022. "Multidimensional Factors Affecting Successful Aging among Empty-Nesters in China Based on Social-Ecological System Theory," IJERPH, MDPI, vol. 19(19), pages 1-12, September.

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