Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jl. Raya Jatinangor, KM 21, Jatinangor, Sumedang, Indonesia.
Pharmacist Profession, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia.
Sci Rep. 2023 Oct 30;13(1):18607. doi: 10.1038/s41598-023-42603-2.
The prevalence of multimorbidity tends to increase with age, but it is now also reported in the middle-aged population, which has a negative impact on healthcare systems and health outcomes. This study aims to analyze the patterns and factors associated with multimorbidity in Indonesia. This national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among middle-aged (40-59 years old) and elderly (≥ 60 years old) respondents. Information on all chronic diseases was assessed using a self-reported questionnaire. Sociodemographic and health-related behavioral factors were obtained from self-reported data. Binary logistic regression analysis was used to identify the factors associated with multimorbidity. Adjusted odds ratios (AORs) with 95% confidence intervals (CIs) were reported. The study recruited 11,867 respondents. The prevalence of multimorbidity was 18.6% (95% CI 17.9-19.3) with which 15.6% among middle age (95% CI 14.95-16.25) and 24.9% among the elderly (95% CI 24.12-25.68). Hypertension was the most commonly reported disease (23.2%) in all combinations of multimorbidity and among all age groups. Socio-demographic factors: elderly (AOR: 1.66; 95% CI 1.46-1.89), female (AOR: 1.42; 95% CI 1.20-1.69), living in the urban area (AOR: 1.22; 95% CI 1.09-1.38), higher educational level (AOR: 2.49; 95% CI 1.91-3.26), unemployed (AOR: 1.63; 95% CI 1.44-1.84), and higher economic level (AOR: 1.41; 95% CI 1.18-1.68) were associated with multimorbidity. Poor health behavior factors: being former smokers (AOR: 2.03; 95% CI 1.65-2.51) and obesity (AOR: 1.53; 95% CI 1.35-1.75) were also associated with multimorbidity. The prevalence of multimorbidity in the middle-aged and elderly population in Indonesia is relatively high, particularly in populations with poor health behaviors. Therefore, healthcare professionals should integrate more patient-specific factors when designing and implementing tailored interventions to manage multimorbidity in Indonesia.
多病症的患病率往往随着年龄的增长而增加,但现在也在中年人群中出现,这对医疗保健系统和健康结果产生了负面影响。本研究旨在分析印度尼西亚多病症的模式和相关因素。这项全国性的基于人群的横断面研究使用了 2014 年印度尼西亚家庭生活调查(IFLS-5)中年(40-59 岁)和老年(≥60 岁)受访者的公开数据。使用自我报告问卷评估所有慢性疾病信息。社会人口统计学和与健康相关的行为因素从自我报告数据中获得。使用二元逻辑回归分析来确定与多病症相关的因素。报告了调整后的优势比(AOR)和 95%置信区间(CI)。该研究招募了 11867 名受访者。多病症的患病率为 18.6%(95%CI 17.9-19.3),其中中年组为 15.6%(95%CI 14.95-16.25),老年组为 24.9%(95%CI 24.12-25.68)。在所有多病症组合和所有年龄组中,高血压是最常见的报告疾病(23.2%)。社会人口统计学因素:老年人(AOR:1.66;95%CI 1.46-1.89)、女性(AOR:1.42;95%CI 1.20-1.69)、居住在城市地区(AOR:1.22;95%CI 1.09-1.38)、较高教育水平(AOR:2.49;95%CI 1.91-3.26)、失业(AOR:1.63;95%CI 1.44-1.84)和较高经济水平(AOR:1.41;95%CI 1.18-1.68)与多病症相关。不良健康行为因素:曾经吸烟(AOR:2.03;95%CI 1.65-2.51)和肥胖(AOR:1.53;95%CI 1.35-1.75)也与多病症相关。印度尼西亚中年和老年人群的多病症患病率相对较高,特别是在健康行为较差的人群中。因此,医疗保健专业人员在设计和实施针对印度尼西亚多病症的定制干预措施时,应综合考虑更多患者特定因素。