Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Mar 8;7(3):e013529.
doi: 10.1136/bmjopen-2016-013529.

Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study

G K Mini  1   2 , K R Thankappan  2
Affiliations

Pattern, correlates and implications of non-communicable disease multimorbidity among older adults in selected Indian states: a cross-sectional study

G K Mini et al. BMJ Open. .

Abstract

Objectives: The 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.

Methods: The 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.

Results: NCD 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.

Conclusions: Multimorbidity 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.

Keywords: EPIDEMIOLOGY; GERIATRIC MEDICINE; PUBLIC HEALTH.

PubMed Disclaimer

Conflict of interest statement

Competing interests: None declared.

Similar articles

See all similar articles

Cited by

See all "Cited by" articles

References

    1. OECD. Health reform: meeting the challenge of ageing and multiple morbidities. OECD Publishing, 2011. 10.1787/9789264122314-en (accessed 10 Jun 2016). - DOI
    1. Marengoni A, Angleman S, Melis R et al. . Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev 2011;10:430–9. 10.1016/j.arr.2011.03.003 - DOI - PubMed
    1. Violan C, Foguet-Boreu Q, Flores-Mateo G et al. . Prevalence, determinants and patterns of multimorbidity in primary care: a systematic review of observational studies. PLoS ONE 2014;9:e102149 10.1371/journal.pone.0102149 - DOI - PMC - PubMed
    1. Barnett K, Mercer SW, Norbury M et al. . Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 2012;380:37–43. 10.1016/S0140-6736(12)60240-2 - DOI - PubMed
    1. Prados-Torres A, Poblador-Plou B, Calderón-Larrañaga A et al. . Multimorbidity patterns in primary care: interactions among chronic diseases using factor analysis. PLoS ONE 2012;7:e32190 10.1371/journal.pone.0032190 - DOI - PMC - PubMed

LinkOut - more resources