ArticleBMJ open2017
Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study.
Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 5 of them syntheses that pooled it.
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Who cites it
77 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Variations in multimorbidity measurement in studies evaluating hospitalisation in older adults: a systematic review.BMC geriatrics · 2025Pooled it
- Community prevalence and dyad disease pattern of multimorbidity in China and India: a systematic review.BMJ global health · 2022Pooled it
- Association between multimorbidity and hospitalization in older adults: systematic review and meta-analysis.Age and ageing · 2022Pooled it
- Multimorbidity of non-communicable diseases in low-income and middle-income countries: a systematic review and meta-analysis.BMJ open · 2022Pooled it
- The association between educational level and multimorbidity among adults in Southeast Asia: A systematic review.PloS one · 2021Pooled it
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- Self-medication among older adults in rural India: structural gaps in primary care and pain management.BMC health services research · 2026Article
- Assessment of nutrition, quality of life, and co-morbidity among the older adult(s), in a rural field practice area of a tertiary care hospital of Eastern India.Frontiers in public health · 2026Article
- Understanding economic disparities in elderly health outcomes: a decomposition analysis in Bankura district.BMC public health · 2025Article
- Exploring the intersectional dynamics of co-morbidities and risk factors among the older population in India.Archives of public health = Archives belges de sante publique · 2025Article
- Temporal analysis of non-communicable diseases and NCD-HIV/AIDS comorbidity in Malawi: A 4-year retrospective study 2020-2022.Tropical medicine & international health : TM & IH · 2025Article
- Multimorbidity and its correlates in middle-aged and older adults in a city of North India.Journal of family medicine and primary care · 2025Article
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- Modeling the spectrum and determinants of multimorbidity risk among older adults in India.PloS one · 2025Article
- Multimorbidity in the elderly of an educational program in Brazilian capital: A cross-sectional study.Medicine · 2024Observational
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- Catastrophic out-of-pocket payments related to non-communicable disease multimorbidity and associated factors, evidence from a public referral hospital in Addis Ababa Ethiopia.BMC health services research · 2024Article
- Prevalence and predictors of multimorbidity in older adults, a community-based cross-sectional study.Journal of family medicine and primary care · 2024Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe objective of the present study was to estimate the proportion of older adults with non-communicable disease (NCD) multimorbidity, its correlates and implications in selected Indian states.
methodsThe study used data of 9852 older adults (≥60 years) (men 47%, mean age 68 years) collected by the United Nations Population Fund from seven selected Indian states. Multiple logistic regression analysis was used to assess the correlates of NCD multimorbidity and hospitalisation.
resultsNCD multimorbidity was reported by 30.7% (95% CI 29.8 to 31.7). Those in the highest wealth group, aged ≥70 years, alcohol users, women and tobacco users were more likely to report NCD multimorbidity compared to those without any NCD and single NCD. Those with multimorbidity, the wealthiest, ever tobacco users and those who had formal education were more likely to be hospitalised compared to their counterparts after adjusting for age, sex and ever use of alcohol.
conclusionsMultimorbidity needs to be considered for planning NCD healthcare services provision particularly inpatient facilities focusing on alcohol users, tobacco users and women. Further studies are required to find out reasons for higher rates of multimorbidity among the wealthier group other than higher healthcare services usage and detection rates.
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