Asri Yuni, Zakaria Amin, Yunita Heny N, Azizah Fidrotin, Sasmiyanto Sasmiyanto, Murtiyani Ninik, Manga Yankuba B
Department of Nursing, Faculty of Health and Science, Institut Teknologi, Sains dan Kesehatan RS Dr. Soepraoen Kesdam V/Brawijaya, Malang, Indonesia.
Department of Nursing, STIKes Rajekwesi Bojonegoro, Bojonegoro, Indonesia.
Narra J. 2024 Dec;4(3):e1103. doi: 10.52225/narra.v4i3.1103. Epub 2024 Nov 5.
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.
认知能力下降给全球老年人口带来了重大挑战。本研究的目的是确定在2014年至2015年进行的印度尼西亚家庭生活调查第五波(IFLS - 5)中老年人认知功能的患病率及其相关因素。该研究纳入了60岁及以上的老年人,不包括代理受访者和有缺失数据的人。分析了各种社会人口统计学、认知功能和健康相关变量,包括年龄、性别、教育水平、婚姻状况、居住地址、地区、经济状况、当前就业情况、自我评估的健康状况、幸福感、睡眠质量、抑郁、孤独感和慢性病。采用多变量逻辑回归分析来确定2929名老年受访者中与认知功能相关的因素。结果显示,44.6%的受访者报告认知功能较差。在未调整的模型中,居住地址(比值比:0.81;95%置信区间:0.70 - 0.94)、其他岛屿地区(比值比:0.66;95%置信区间:0.54 - 0.81)、睡眠质量(比值比:0.53;95%置信区间:0.42 - 0.68)、自我评估的健康状况(比值比:1.38;95%置信区间:1.19 - 1.61)、幸福感(比值比:1.48;95%置信区间:1.22 - 1.79)和抑郁(比值比:1.22;95%置信区间:1.04 - 1.44)与认知功能显示出显著关联。在调整混杂因素后,居住地址(比值比:0.77;95%置信区间:0.66 - 0.89)、爪哇、巴厘和苏门答腊以外的地区(比值比:0.61;95%置信区间:0.50 - 0.76)、自我评估的健康状况(比值比:1.28;95%置信区间:1.09 - 1.51)、幸福感(比值比:1.30;95%置信区间:1.06 - 1.59)和睡眠质量(比值比:0.60;95%置信区间:0.47 - 0.78)的关联仍然显著。这些发现强调了旨在提高睡眠质量和整体健康水平以保护老年人认知功能的干预措施的必要性,从而有可能改善他们的生活质量。实施全面的健康计划可以显著提高老年人口,特别是老年人的整体生活质量。