ArticleJAMA network open2019
Epidemiologic Characteristics of Multimorbidity and Sociodemographic Factors Associated With Multimorbidity in a Rapidly Aging Asian Country.
Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 61 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
61 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.
- Variation in the estimated prevalence of multimorbidity: systematic review and meta-analysis of 193 international studies.BMJ open · 2022Pooled it
- Successful implementation of a trans-jurisdictional, primary care, anticipatory care planning intervention for older adults at risk of functional decline: interviews with key health professionals.BMC health services research · 2021Trial
- Implementation outcomes from delivering 'acute-on-demand telehealth services' in primary care: a retrospective observational study.Family medicine and community health · 2026Observational
- Facilitators and Barriers to Implementing a Remote Monitoring Model of Care for Stable Patients With Axial Spondyloarthritis Using the Consolidated Framework for Implementation Research: Qualitative Study.Journal of medical Internet research · 2026Article
- Projecting the 20-year healthcare resource burden of asthma and COPD multimorbidity: insights from Singapore for integrated chronic respiratory care in South-East Asia.NPJ primary care respiratory medicine · 2026Article
- Time toxicity in chronic disease comorbidity care: A concept analysis using Walker and Avant's approach.International journal of nursing sciences · 2026Article
- Article
- Prevalence, associated factors and temporal trends in multimorbidity in older adults in Singapore.Scientific reports · 2025Article
- Older adults' attitudes towards using technologies for communication, entertainment, health and productivity: a cross-sectional study.BMC public health · 2025Article
- The Multimorbidity Knowledge Domain: A Bibliometric Analysis of Web of Science Literature from 2004 to 2024.Healthcare (Basel, Switzerland) · 2025Article
- Trends in Dual Mobility Cup Use and Outcomes in Primary and Revision Hip Arthroplasty: A Nationwide Database Study.Clinics in orthopedic surgery · 2025Article
- Peer Volunteers' Journeys Through Training and Engagement in Older Adult Communities: Descriptive Qualitative Study.JMIR aging · 2025Article
- An innovative multimorbidity patient-centered care model in Chile: implementation evaluation results.Archives of public health = Archives belges de sante publique · 2025Article
- Intrinsic capacity trajectories and cardiovascular disease incidence among Chinese older adults: a population-based prospective cohort study.BMC geriatrics · 2025Article
- Article
- Health, functioning and social engagement among older people living in long-term care facilities during the COVID-19 lockdown in Finland: a register-based cohort study.BMC public health · 2025Article
- Prevalence and determinants of HealthHub app utilization among community-dwelling adults in Singapore.PloS one · 2025Article
- Identifying multimorbidity risks in older adults: a cross-sectional study using the RGA screening data.Frontiers in public health · 2025Article
- Public health impact of herpes zoster vaccination on older adults in Singapore: a modeling study.Human vaccines & immunotherapeutics · 2024Article
- Impact of a Community-Based Health Intervention on Health Knowledge, Lifestyle Goals, Dietary Practices, and Physical Activity in Older Adults: A Multisite Cohort Study.Healthcare (Basel, Switzerland) · 2024Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 < .001). The 3 most prevalent disease combinations were chronic kidney disease and hypertension, chronic kidney disease and lipid disorders, and hypertension and lipid disorders. Although chronic kidney disease, hypertension, lipid disorders, and type 1 and/or type 2 diabetes-related diseases had a low cost per capita, the large number of patients with these conditions caused the overall proportion of the cost incurred by health care use to be more than twice that incurred in other diseases. Conclusions and Relevance: These findings emphasize the association between multimorbidity and sociodemographic factors such as increasing age, lower SES, female sex, and increasing number of mental disorders. Health care policies need to take sociodemographic factors into account when tackling multimorbidity in a population.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.