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      Prevalence of Loneliness and Associated Factors among Community-Dwelling Older Adults in Indonesia: A Cross-Sectional Study

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          Abstract

          Loneliness has become one of the most common psychological problems experienced by older adults. Previous studies have indicated that loneliness is correlated with poor physical and psychological health outcomes; therefore, it is important to pay attention to people experiencing loneliness. However, there is a lack of information regarding the prevalence of loneliness, and its associated factors, among community-dwelling older adults in Indonesia, which this study aimed to understand. This study used a cross-sectional, descriptive, and correlational research design. Stratified random sampling was applied to 1360 participants, aged ≥ 60 years, in 15 community health centers in Kendari City, Indonesia. The following questionnaires were used to collect data, including demographic and characteristic information, Short Portable Mental Status Questionnaire, Multidimensional Scale of Perceived Social Support, Geriatric Depression Scale Short Form, and a single-item loneliness question. The prevalence of loneliness among older adults was 64.0%. The multivariate logistic regression showed that older adults who were female, lived with family, had fewer children, had a poor health status, had a poor oral status, had more chronic diseases, had no hearing problems, had poor cognitive function, and had depression had a higher chance of feeling lonely. Loneliness is a serious health issue among the older population in Indonesia. The government, social workers, and healthcare professionals should pay immediate attention to this psychological problem. The study also suggests that appropriate strategies for the prevention of loneliness should be developed in the near future.

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          Most cited references59

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          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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              The Multidimensional Scale of Perceived Social Support

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                Author and article information

                Contributors
                Journal
                IJERGQ
                International Journal of Environmental Research and Public Health
                IJERPH
                MDPI AG
                1660-4601
                April 2022
                April 18 2022
                : 19
                : 8
                : 4911
                Article
                10.3390/ijerph19084911
                9025207
                35457781
                f32d0861-135d-4393-a0f8-4d56b6261db3
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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