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Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea

Author

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  • Kang-Hyun Park

    (Super-Aged Society New Normal Lifestyle Research Institute, Yonsei University, Wonju 26493, Korea)

  • Eun-Young Yoo

    (Department of Occupational Therapy, Yonsei University, Wonju 26493, Korea)

  • Jongbae Kim

    (Department of Occupational Therapy, Yonsei University, Wonju 26493, Korea)

  • Ickpyo Hong

    (Department of Occupational Therapy, Yonsei University, Wonju 26493, Korea)

  • Jae-Shin Lee

    (Department of Occupational Therapy, Konyang University, Daejeon 35365, Korea)

  • Ji-Hyuk Park

    (Super-Aged Society New Normal Lifestyle Research Institute, Yonsei University, Wonju 26493, Korea
    Department of Occupational Therapy, Yonsei University, Wonju 26493, Korea)

Abstract

This study aimed to examine the multi-faceted lifestyle profiles of community-dwelling middle- and older-aged adults based on their physical activity, participation in various activities, and nutrition. It identified the association of lifestyle profiles with demographic variables, quality of life, and mental health. The analysis included 569 participants (mean age = 60.2; SD = 4.3). Latent profile analysis identified three distinctive lifestyle profiles: “inactive and unbalanced” (36.4%), “basic life maintenance” (54.6%), and “active and balanced” (9.1%). Sex ( p < 0.001), age ( p < 0.001), and regular medication intake ( p < 0.01) were statistically significantly different among the three profiles. Of the “inactive and unbalanced” lifestyle group, 63.3% of it was comprised of by females, and a relatively large distribution was aged over 65. In the “basic life maintenance” subgroup, males showed a relatively large distribution, and 92.6% of participants were aged 55–64. People with active and balanced lifestyles demonstrated high quality of life levels ( p < 0.001) and low loneliness levels ( p < 0.01). Multinomial logistic regression revealed a statistically significant positive association between lifestyle profiles and quality of life ( p < 0.001) as well as mental health ( p < 0.01). Therefore, health promotion that considers multi-faceted lifestyle factors would need to improve health and quality of life among community-dwelling middle- and older-aged adults in South Korea.

Suggested Citation

  • Kang-Hyun Park & Eun-Young Yoo & Jongbae Kim & Ickpyo Hong & Jae-Shin Lee & Ji-Hyuk Park, 2021. "Applying Latent Profile Analysis to Identify Lifestyle Profiles and Their Association with Loneliness and Quality of Life among Community-Dwelling Middle- and Older-Aged Adults in South Korea," IJERPH, MDPI, vol. 18(23), pages 1-11, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12374-:d:687272
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    References listed on IDEAS

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    1. Mahdi Vajdi & Leila Nikniaz & Asghar Mohammad Pour Asl & Mahdieh Abbasalizad Farhangi, 2020. "Lifestyle patterns and their nutritional, socio-demographic and psychological determinants in a community-based study: A mixed approach of latent class and factor analyses," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-16, July.
    2. Denton, Margaret & Walters, Vivienne, 1999. "Gender differences in structural and behavioral determinants of health: an analysis of the social production of health," Social Science & Medicine, Elsevier, vol. 48(9), pages 1221-1235, May.
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    1. Lanzhi Wei & Jianou Xu & Caifeng Luo & Rongzhu Lu & Hui Shi, 2022. "Latent Profile Analysis of Self-Supporting Ability among Rural Empty-Nesters in Northwestern China," IJERPH, MDPI, vol. 20(1), pages 1-21, December.

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