Epidemiologic Characteristics of Multimorbidity and Sociodemographic Factors Associated With Multimorbidity in a Rapidly Aging Asian Country
| Autor: | Julian Thumboo, Lian Leng Low, Cheng Teng Yeam, Wee Boon Tan, Michelle Shi Min Ko, Vivian S. Lee, Yu Heng Kwan |
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| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
Aging Cross-sectional study Epidemiology Health Status Population Ethnic group Health care medicine Prevalence Humans education Socioeconomic status Original Investigation education.field_of_study Singapore business.industry Research Mental Disorders Multimorbidity Correction General Medicine Mental health Online Only Cross-Sectional Studies Logistic Models Diabetes Mellitus Type 2 Social Class Hypertension Population study Public Health Other business Demography |
| Zdroj: | JAMA Network Open |
| ISSN: | 2574-3805 |
| Popis: | Key Points Question What epidemiologic characteristics and sociodemographic factors are associated with multimorbidity in Singapore? Findings In this cross-sectional study of 1 181 024 patients, increasing age, lower socioeconomic status, female sex, and increasing number of mental disorders were significantly associated with increasing multimorbidity. Meaning Epidemiologic characteristics and sociodemographic factors must be taken into consideration when developing public health policies, and greater efficacy in managing multimorbidity may be derived from preventive health programs. Importance Multimorbidity is a growing health care problem in aging societies and is strongly associated with epidemiologic characteristics and sociodemographic factors. Knowledge of these associations is important for the design of effective preventive and management strategies. Objectives To determine the association between multimorbidity and sociodemographic factors (age, socioeconomic status [SES], sex, and race/ethnicity) and the association between mental health diseases and physical diseases, as well as their implications for the types and costs of health care use. Design, Setting, and Participants This population-based cross-sectional study used deidentified Singapore Eastern Regional Health System data collected between January 1, 2012, and December 31, 2016. Patients who were alive as of January 1, 2016, and residing in the Regional Health System region in 2016 (N = 1 181 024) were included. Patients who had no year of birth records (n = 573), were born in 2017 (n = 93), or died before January 1, 2016 (n = 47 322), were excluded. Main Outcomes and Measures Multimorbidity, age, sex, SES, mental health, race/ethnicity, and health care use. Results In the study population of 1 181 024 individuals, the mean (SD) age was 39.6 (22.1) years, 51.2% were women, 70.1% were Chinese, 7.1% were Indian, 13.5% were Malayan, and 9.3% were other races/ethnicities. Multimorbidity, present in 26.2% of the population, was more prevalent in female (26.8%; 95% CI, 26.7%-26.9%) than in male (25.6%; 95% CI, 25.5%-25.7%) patients and among patients with low SES (41.6%) than those with high SES (20.1%). Mental health diseases were significantly more prevalent among individuals with low SES (5.2%; 95% CI, 5.1%-5.2%) than high SES (2.1%; 95% CI, 2.0%-2.1%; P This cross-sectional study conducted in Singapore examines the association between multimorbidity and sociodemographic factors and the association between mental health diseases and physical diseases, as well as their implications for the types and costs of health care use. |
| Databáze: | OpenAIRE |
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