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Sleep quality and cognitive function on self-rated health status among the elderly: Findings from the Indonesian family life survey (IFLS-5) Asri, Yuni; Zakaria, Amin; Yunita, Heny N.; Azizah, Fidrotin; Sasmiyanto, Sasmiyanto; Murtiyani, Ninik; B. Manga , Yankuba
Narra J Vol. 4 No. 3 (2024): December 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i3.1103

Abstract

Cognitive decline poses a significant challenge for the elderly population globally. The aim of this study was to determine the prevalence of cognitive function and its associated factors among the elderly in the Indonesian family life survey’s fifth wave (IFLS-5) conducted from 2014 to 2015. The study included elderly individuals aged 60 and above, excluding proxy respondents and those with missing data. Various socio-demographic, cognitive function and health-related variables were analyzed, including age, sex, education level, marital status, residence, region, economic status, current employment, self-rated health status, happiness, sleep quality, depression, loneliness, and chronic conditions. Multivariate logistic regression analysis was used to identify the factors associated with cognitive functions among the 2,929 elderly respondents. The results revealed that 44.6% of the respondents reported poor cognitive function. In the unadjusted model, residence (OR: 0.81; 95%CI: 0.70–0.94), region of other islands (OR: 0.66; 95%CI: 0.54–0.81), sleep quality (OR: 0.53; 95%CI: 0.42–0.68), self-rated health status (OR: 1.38; 95%CI: 1.19–1.61), happiness (OR: 1.48; 95%CI: 1.22–1.79), and depression (OR: 1.22; 95%CI: 1.04–1.44) showed significant associations with cognitive function. After adjusting for confounding factors, the association remained significant for residence (OR: 0.77; 95%CI: 0.66–0.89), regions other than Java, Bali, and Sumatra (OR: 0.61; 95%CI: 0.50–0.76), self-rated health  (OR: 1.28; 95%CI: 1.09–1.51), happiness (OR: 1.30; 95%CI: 1.06–1.59), and sleep quality (OR: 0.60; 95%CI: 0.47–0.78). These findings emphasize the necessity of interventions aimed at enhancing sleep quality and overall health in order to preserve cognitive function among the elderly, thus potentially improving their quality of life. Implementing comprehensive health programs could significantly enhance the overall quality of life for the aging population, especially the elderly population.
Prevalence and Associated Factors of Loneliness Among Older Adults in Indonesia: Insights from the Indonesian Family Life Survey (IFLS-5) Asri, Yuni; Hartono , Aris; Murwani , Arita; Julia Kristiarini , Juda; B. Manga , Yankuba
Jurnal Ners Vol. 20 No. 1 (2025): VOLUME 20 ISSUE 1 FEBRUARY 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jn.v20i1.59927

Abstract

Introduction: Loneliness presents a significant threat to the mental and physical health of older adults in Indonesia, constituting a pressing public health concern. The study aims to determine the prevalence of loneliness and identify the factors associated with loneliness among older adults in Indonesia. Methods: A cross-sectional analysis was conducted using data from the fifth wave of the Indonesian Family Life Survey (IFLS-5). Sociodemographic, loneliness, and health-related variables were examined through multivariate logistic regression to identify factors associated with loneliness. Results: High levels of loneliness were reported by 11.2% of participants, while 88.8% experienced low levels. Significant factors included lower educational attainment (adjusted odds ratio [AOR] = 2.05, 95% confidence interval [CI] = 1.43–2.93, p < 0.001), life dissatisfaction (AOR = 1.55, 95% CI = 1.16–2.06, p = 0.003), and poor sleep quality (AOR = 2.32, 95% CI: 1.72–3.39, p < 0.001). Geographic location also emerged as a significant factor; participants residing in Sumatra were less likely to report loneliness (AOR = 0.64, 95% CI = 0.42–0.99, p = 0.049). Other variables, such as self-rated health, chronic conditions, religious participation, and cell phone ownership, showed significance in unadjusted models but were no longer statistically significant after adjustments were made. Conclusion: The findings underscore the necessity for targeted interventions to mitigate loneliness among older adults in Indonesia. Such interventions should focus on improving health, enhancing social support, and fostering connectivity, with the aim of elevating the quality of life and alleviating loneliness within this vulnerable population.