Evidence map›Paper›PMID 35570271›Full record

ArticleBMC geriatrics2022

Prevalence of multimorbidity and its correlates among older adults in Eastern Nepal.

Siva Balakrishnan, Isha Karmacharya, Saruna Ghimire, Sabuj Kanti Mistry, Devendra Raj Singh, Om Prakash Yadav, Nachiket Gudi, Lal Bahadur Rawal, Uday Narayan Yadav

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

9 authors at 7 institutions in 4 countries.

Siva BalakrishnanSchool of Public Health, University of Nevada Reno, Reno, NV, USA.
Isha KarmacharyaDepartment of Sociology and Gerontology and Scripps Gerontology Center, Miami University, Oxford, OH, USA.
Saruna GhimireDepartment of Sociology and Gerontology and Scripps Gerontology Center, Miami University, Oxford, OH, USA.
Sabuj Kanti MistryCentre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia.
Devendra Raj SinghSchool of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, UK.
Om Prakash YadavMinistry of Health and Population, Kathmandu, Nepal.
Nachiket GudiPublic Health Evidence South Asia (PHESA), Department of Health Information, Prasanna School of Public Health, Manipal, Karnataka, India.
Lal Bahadur RawalSchool of Health Medical and Applied Sciences, College of Science and Sustainability, Central Queensland University, Sydney Campus, Sydney, Australia.
Uday Narayan YadavCentre for Primary Health Care and Equity, University of New South Wales, Sydney, Australia. unyadav1@gmail.com.
Miami University · USAustralian National University · AUCentral Queensland University · AUMinistry of Health and Population · NPUniversity of Huddersfield · GBUniversity of Nevada, Reno · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of people with multimorbidity is surging around the world. Although multimorbidity has been introduced in policy and practice in developed countries, developing countries like Nepal have not considered it as a matter of public health urgency due to the lack of enough epidemiological data. Multimorbidity profoundly affects older adults' wellbeing; therefore, it is crucial to estimate its prevalence and determinants. This study aimed to estimate the prevalence of multimorbidity among older adults in Eastern Nepal and identify its correlates. METHODOLOGY: A community-based cross-sectional survey was conducted in three districts of Eastern Nepal. Data were collected between July and September 2020, among 847 Nepali older adults, aged 60 and older, where study participants were recruited through a multi-stage cluster sampling technique. Semi-structured interviews were conducted at the community settings to collect data. Logistic regression assessed correlates of multimorbidity. SAS 9.4 was used to run all statistical tests and analyses.

resultsMore than half (66.5%) of the participants had at least one of the five non-communicable chronic conditions; hypertension (31.6%), osteoarthritis (28.6%), chronic respiratory disease (18.0%), diabetes (13.5%), and heart disease (5.3%). The prevalence of multimorbidity was 22.8%. In the adjusted model, increased age (for 70-79 years, OR: 3.11, 95% CI: 1.87-5.18; for 80 + years, OR: 4.19, 95% CI: 2.32-7.57), those without a partner (OR: 1.52, 95% CI: 1.00-2.30), residing in urban areas (OR: 1.71, 95% CI: 1.16-2.51), and distant from health center (OR: 1.66, 95% CI: 1.04-2.64) were significantly associated with multimorbidity.

conclusionsThis study found one in five study participants had multimorbidity. The findings will assist policymakers and stakeholders in understanding the burden of multimorbidity among the older population and identifying the groups in most need of health promotion intervention. Future interventions may include developing horizontal multimorbid approaches and multisectoral strategies specifically tailored to meet the needs of those populations.

Indexed as

MultimorbidityAgedChronic DiseaseCross-Sectional StudiesHumansMiddle AgedNepalPrevalenceChronic diseasesMultimorbidityNCDsNepalOlder adults

Identifiers

PMID35570271
PMCPMC9109315
OpenAlexW4280535169

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.