Factors related to quality of life in community-dwelling adults in Sleman Regency, Special Region of Yogyakarta, Indonesia: Results from a cross-sectional study

• Published in: PloS one 2024-01, Vol.19 (1), p.e0296245-e0296245
• Main Authors: Kusumaningrum, Fitrina Mahardani, Dewi, Fatwa Sari Tetra, Santosa, Ailiana, Pangastuti, Heny Suseani, Yeung, Polly
• Format: Article
• Language: English
• Subjects: Activities of daily living; Activities of Daily Living - psychology; Adult; Adults; Aged; Aging; Analysis; Biology and Life Sciences; Chronic Disease; Chronic diseases; Chronic illnesses; Cognitive ability; Comorbidity; Confidence intervals; Cross-Sectional Studies; Demographic aspects; Depression, Mental; Developing countries; Financial management; Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi; Geriatric Assessment - methods; Health aspects; Health care; Households; Humans; Independent Living - psychology; Indonesia - epidemiology; Influence; LDCs; Medical screening; Medicine and Health Sciences; Mental depression; Mental health; Nutrition; Nutritional status; Older people; People and Places; Population; Public Health, Global Health, Social Medicine and Epidemiology; Quality of life; Quality of Life - psychology; Regression analysis; Sample size; Social Sciences; Sociodemographics; Socioeconomic factors; Socioeconomic status; Socioeconomics; Statistical analysis; Surveillance; Variables
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0296245

Quality of life studies in low- and middle-income countries have demonstrated the influence of socioeconomic factors on the quality of life (QoL). However, further studies are required to confirm this association in developing countries with rapidly ageing populations. Using Ferrans et al.'s QoL model, this study aimed to identify the factors associated with the QoL of community-dwelling adults in Indonesia. A cross-sectional study among 546 community-dwelling adults aged 50+ years was conducted in Yogyakarta, Indonesia, in 2018. QoL was measured using the Short Form 12 questionnaire, which consists of a summary of physical and mental health. We performed stepwise logistic regression analyses to determine odds ratios (ORs) with 95% confidence intervals (CIs) and examined the association between the QoL (physical and mental health) and demographic characteristics, socioeconomic status, financial management behaviour, multimorbidity status, nutritional status, cognitive impairment status, depression status, and independence. Statistical significance was set at p