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Relative Contributions of Different Lifestyle Factors to Health-Related Quality of Life in the Elderly

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  • Xiaona Zhang

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

  • Ruyi Xia

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

  • Shu Wang

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

  • Wei Xue

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

  • Jian Yang

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

  • Shuliu Sun

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

  • Guihua Zhuang

    (Department of Epidemiology and Biostatistics, School of Public Heath, Xi’an Jiaotong University Health Science Center, No. 76 West Yanta Road, Xi’an, 710061, China)

Abstract

Much of the previous literature has studied the relationship between individual lifestyle factors and the health-related quality of life (HRQOL). However, only a few studies combined them to explore their relative importance to the HRQOL in the elderly. This study assesses the HRQOL of the urban, rural, and institutionalized Chinese elderly and explores the relative contributions of different lifestyle factors to their HRQOL. The SF-36v2 Health Survey, the WHOQOL-OLD module, and the socio-demographic and lifestyle questionnaire were utilized in this study. Hierarchical regression was performed in order to analyze the results. The physical and mental component scores of the SF-36v2 survey were 47.05 ± 9.95 and 54.92 ± 9.92, respectively. The total score for the WHOQOL-OLD module was 73.01 ± 11.99, with institutionalized persons reporting lower scores. For the physical component of the elderly participants’ HRQOL, the R 2 value changed the most (0.116) when exercise-and-labor-related factors were added in. For the mental component, sleep-related (0.054), and leisure-time-activity-related factors (0.053) caused the largest change of the R 2 value. For the elderly-specific HRQOL, measured by the WHOQOL-OLD module, the leisure-time-activity-related factors caused the largest change in the R 2 value (0.119), followed by exercise-and-labor-related factors (0.078). Heterogeneity was present among the three subgroups. In sum, compared with their community-dwelling counterparts, the HRQOL of institutionalized older people was relatively poor and different lifestyle factors contributed to the HRQOL differently.

Suggested Citation

  • Xiaona Zhang & Ruyi Xia & Shu Wang & Wei Xue & Jian Yang & Shuliu Sun & Guihua Zhuang, 2018. "Relative Contributions of Different Lifestyle Factors to Health-Related Quality of Life in the Elderly," IJERPH, MDPI, vol. 15(2), pages 1-13, February.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:256-:d:130088
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    References listed on IDEAS

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    1. Gu, Danan & Dupre, Matthew E. & Liu, Guangya, 2007. "Characteristics of the institutionalized and community-residing oldest-old in China," Social Science & Medicine, Elsevier, vol. 64(4), pages 871-883, February.
    2. Andreja Brajša-Žganec & Marina Merkaš & Iva Šverko, 2011. "Quality of Life and Leisure Activities: How do Leisure Activities Contribute to Subjective Well-Being?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(1), pages 81-91, May.
    3. Angus Deaton, 2008. "Income, Health, and Well-Being around the World: Evidence from the Gallup World Poll," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 53-72, Spring.
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    3. Jiyeon Yu & Angelica de Antonio & Elena Villalba-Mora, 2020. "Older Adult Segmentation According to Residentially-Based Lifestyles and Analysis of Their Needs for Smart Home Functions," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    4. Mengqi Yang & Mark W. Rosenberg & Jie Li, 2020. "Spatial Variability of Health Inequalities of Older People in China and Related Health Factors," IJERPH, MDPI, vol. 17(5), pages 1-12, March.

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