Evidence map›Paper›PMID 36710322›Full record

ArticleBMC geriatrics2023

The burden of disease-specific multimorbidity among older adults in India and its states: evidence from LASI.

Priyanka Patel, T Muhammad, Harihar Sahoo

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  3. Novel Clinical and Pre-clinical Obesity Estimates in Older Indian Adults: Insights from a Nationally Representative Dataset.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Priyanka PatelDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, 400088, Maharashtra, India. patelpriyankacsb@gmail.com.
T MuhammadDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, 400088, Maharashtra, India.
Harihar SahooDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, 400088, Maharashtra, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAround the world, advances in public health and changes in clinical interventions have resulted in increased life expectancy. Multimorbidity is becoming more of an issue, particularly in countries where the population is rapidly ageing. We aimed to determine the prevalence of multimorbidity and disease-specific multimorbidity and examine its association with demographic and socioeconomic characteristics among older adults in India and its states.

methodsThe individual data from the longitudinal ageing study in India (LASI) were used for this study, with 11 common chronic conditions among older adults aged 60 and above years (N = 31,464). Descriptive statistics were used to report the overall prevalence of multimorbidity and disease-specific burden of multimorbidity. Multinomial logistic regression has been used to explore the factors associated with multimorbidity.

resultsPrevalence of single morbidity was 30.3%, and multimorbidity was 32.1% among older people in India. Multimorbidity was higher among females and in urban areas and increased with age and among those living alone. Hypertension, arthritis and thyroid were highly prevalent among females and chronic lung diseases and stroke were highly prevalent among males. The older people in the state of Kerala had a high prevalence of multimorbidity (59.2%). Multimorbidity was found to be more likely in older age groups of 75-79 years (RR-1.69; CI: 1.53-1.87) and 80 years and above (RR-1.40; CI: 1.27-1.56) and in the Western (RR-2.16; CI: 1.90-2.44) and Southern regions (RR-2.89; CI: 2.57-3.24). Those who were living with a spouse (RR-1.60; CI: 1.15-2.23) were more likely to have multimorbidity. Disease-specific multimorbidity was high in chronic heart disease (91%) and low in angina (64.8%).

conclusionsThe findings suggest that multimorbidity has a positive relationship with advancing age, and disease-specific burden of multimorbidity is higher among chronic heart patients. Comorbidity, especially among those who already have chronic heart disease, stroke, cholesterol or thyroid disorder can have severe consequences on physical functioning, therefore, disease-specific health management needs to be enhanced.

Indexed as

Heart DiseasesStrokeAgedAgingChronic DiseaseCost of IllnessFemaleHumansIndiaMaleMultimorbidityPrevalenceDisease-specific burdenIndiaMultimorbidityOlder adults

Identifiers

PMID36710322
PMCPMC9885687
OpenAlexW4318457172

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.