Evidence map›Paper›PMID 36874442›Full record

ArticleGlobal heart2023

Cardiometabolic Multimorbidity Associated with Moderate and Severe Disabilities: Results from the Study on Global AGEing and Adult Health (SAGE) Wave 2 in Ghana and South Africa.

Peter Otieno, Gershim Asiki, Justice Moses K Aheto, Calistus Wilunda, Richard E Sanya, Welcome Wami, Daniel Mwanga, Charles Agyemang

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

8 authors at 4 institutions in 4 countries.

Peter OtienoAfrican Population and Health Research Center, Nairobi, Kenya, NL.ORCID 0000-0001-6828-8301
Gershim AsikiAfrican Population and Health Research Center, Nairobi, Kenya, SE.ORCID 0000-0002-9966-1153
Justice Moses K AhetoDepartment of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, GH.ORCID 0000-0003-1384-2461
Calistus WilundaAfrican Population and Health Research Center, Nairobi, Kenya, NL.ORCID 0000-0002-6606-6534
Richard E SanyaAfrican Population and Health Research Center, Nairobi, Kenya, NL.ORCID 0000-0001-6348-9075
Welcome WamiAmsterdam Institute for Global Health and Development, Amsterdam, NL.ORCID 0000-0002-1800-1584
Daniel MwangaAfrican Population and Health Research Center, Nairobi, Kenya, NL.
Charles AgyemangDepartment of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, NL.ORCID 0000-0002-3882-7295
African Population and Health Research Center · KEAmsterdam University Medical Centers · NLUniversity of Amsterdam · NLUniversity of Ghana · GH

Funding

Towards improving the measurement of health and disability trends, the compressioR01AG034479 · NIA · WORLD HEALTH ORGANIZATION · PI CHATTERJI, SOMNATH · 2010 to 2014
$5.3M
NIA NIH HHS R01 AG034479NIA NIH HHS Y1 AG1005-01
6 · The paper itself

Abstract

Background: Integrated management of cardiometabolic diseases is crucial in improving the quality of life of older persons. The objective of the study was to identify clusters of cardiometabolic multimorbidity associated with moderate and severe disabilities in Ghana and South Africa. Methods: Data were from the World Health Organization (WHO) study on global AGEing and adult health (SAGE) Wave-2 (2015) conducted in Ghana and South Africa. We analysed the clustering of cardiometabolic diseases including angina, stroke, diabetes, obesity, and hypertension with unrelated conditions such as asthma, chronic lung disease, arthritis, cataracts, and depression. The WHO Disability Assessment Instrument version 2.0 was used to assess functional disability. We used latent class analysis to calculate the multimorbidity classes and disability severity levels. Ordinal logistic regression was used to identify the clusters of multimorbidity associated with moderate and severe disabilities. Results: Data from 4,190 adults aged over 50 years were analysed. The prevalence of moderate and severe disabilities was 27.0% and 8.9% respectively. Four latent classes of multimorbidity were identified. These included a relatively healthy group with minimal cardiometabolic multimorbidity (63.5%), general and abdominal obesity (20.5%), hypertension, abdominal obesity, diabetes, cataracts, and arthritis (10.0%), and angina, chronic lung disease, asthma, and depression (6.0%). Compared to the participants with minimal cardiometabolic multimorbidity, the odds of moderate and severe disabilities were higher among participants with multimorbidity comprising hypertension, abdominal obesity, diabetes, cataract and arthritis [aOR = 3.0; 95% CI 1.6 to 5.6], and those with angina, chronic lung disease, asthma and depression [aOR = 2.7; 95% CI 1.6 to 4.5]. Conclusions: Cardiometabolic diseases among older persons in Ghana and South Africa cluster in distinct multimorbidity patterns that are significant predictors of functional disabilities. This evidence may be useful for defining disability prevention strategies and long-term care for older persons living with or at risk of cardiometabolic multimorbidity in sub-Saharan Africa.

Indexed as

ArthritisAsthmaCataractHypertensionAdultAgedAged, 80 and overAgingGhanaHumansMiddle AgedMultimorbidityObesityObesity, AbdominalQuality of LifeSouth AfricaCardiometabolic diseasesdisabilitylatent class analysismultimorbidity

Identifiers

PMID36874442
PMCPMC9983501
OpenAlexW4322740455

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.