ArticleBMC family practice2020
How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting.
Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A digital marker for stratifying cardiovascular metabolic comorbidities among the middle-aged and elderly adults.PLOS digital health · 2026Article
- Analysing the impact of complex multimorbidity on health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Frailty and multimorbidity among adults aged 40-69 years in Montenegro: a cross-sectional pilot study.BMJ open · 2025Article
- Schizophrenia, Bipolar, or Major Depressive Disorder and Postacute Sequelae of COVID-19.JAMA network open · 2025Article
- Comorbidity Disease Pattern in Japanese Elderly Population: A Network-Based Analysis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Experiences of Social Relationships for Adults Living With Multiple Long-Term Conditions: A Qualitative Interview Study.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015-2018.BMC public health · 2025Article
- Factors Affecting the Utilization of Preventive Health Services by Middle-Aged Population: A Scoping Review.Iranian journal of public health · 2025Review
- Longitudinal study on health-related quality of life and multimorbidity: from trajectories to outcomes in China.Frontiers in public health · 2025Article
- Correlation between sleep and multimorbidity in community-dwelling older adults in Hunan Province: a cross-sectional study.Frontiers in public health · 2025Article
- Association between Dietary Antioxidants and Atherosclerotic Cardiovascular Disease in South Korea: Insights from a Comprehensive Cross-Sectional Analysis.Journal of clinical medicine · 2024Article
- Exploring multimorbidity profiles in middle-aged inpatients: a network-based comparative study of China and the United Kingdom.BMC medicine · 2023Article
- Findings from the Indonesian family life survey on patterns and factors associated with multimorbidity.Scientific reports · 2023Article
- Multimorbidity and Sleep Patterns among Adults in a Peruvian Semi-Urban Area.Sleep science (Sao Paulo, Brazil) · 2023Article
- How do middle-aged patients and their healthcare providers manage multimorbidity? Results of a qualitative study.PloS one · 2023Article
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5 authors.
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Abstract
backgroundMultimorbidity is of increasing prevalence and importance. It has been associated with poorer health-related quality of life (HrQoL) especially in the elderly population. Despite substantial multimorbidity in the middle-aged population, defined as those aged between 40-64 years old, there is a paucity of research investigating the impact of multimorbidity in this population. This study aimed to investigate the association between multimorbidity and HrQoL in the middle-aged primary care population in Singapore.
methodsA cross-sectional study was conducted at a primary care centre in Singapore. Interviewer-administered questionnaires were used to collect data regarding the participants' sociodemographic characteristics, chronic conditions, and HrQoL, as measured by the EuroQol five dimensions 3-levels questionnaire (EQ5D). We defined multimorbidity as the presence of three or more conditions, out of a list of 14 chronic conditions. The associations between multimorbidity and the components of the EQ5D were assessed using multivariable regression analyses.
resultsThe study included 297 participants, aged 40-64 years, of which 124 (41.7%) had multimorbidity. After adjusting for sociodemographic factors, participants with multimorbidity had significantly lower EQ5D UI, (β-coefficient - 0.064 (C.I -0.125, - 0.003), p = 0.04), but not significantly lower EQ5D VAS, (β-coefficient - 0.045 (C.I 0.102, 0.012), p = 0.12). Additionally, participants with multimorbidity had higher odds (OR = 2.41, p = 0.01) of reporting problems due to pain/discomfort.
conclusionMultimorbidity was not significantly associated with the overall health state, as measured by the EQ5D VAS, in middle-aged primary care patients. However, it was associated with the EQ5D UI which is a composite measure of five specific domains of HrQoL. Specifically, there was a statistically significant association between multimorbidity and the pain domain. Further studies are required to understand the relationship between multimorbidity and pain to enable physicians to better manage pain and HrQoL in this population.
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