Evidence map›Paper›PMID 37568091›Full record

ArticleBMC public health2023

Socio-demographic correlates of unhealthy lifestyle in Ethiopia: a secondary analysis of a national survey.

Yalemzewod Assefa Gelaw, Digsu N Koye, Kefyalew Addis Alene, Kedir Y Ahmed, Yibeltal Assefa, Daniel Asfaw Erku, Henok Getachew Tegegn, Azeb Gebresilassie Tesema, Berihun Megabiaw Zeleke, Yohannes Adama Melaku

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

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
4.3field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 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

10 authors at 10 institutions in 2 countries.

Yalemzewod Assefa GelawTelethon Kids Institute, Perth Children's Hospital, Perth, WA, Australia. y.gelaw@curtin.edu.au.
Digsu N KoyeCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.
Kefyalew Addis AleneTelethon Kids Institute, Perth Children's Hospital, Perth, WA, Australia.
Kedir Y AhmedRural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
Yibeltal AssefaSchool of Public Health, The University of Queensland, Brisbane, Australia.
Daniel Asfaw ErkuCentre for Applied Health Economics, Griffith University, Nathan, QLD, Australia.
Henok Getachew TegegnSchool of Rural Medicine, University of New England, Armidale, 2351, Australia.
Azeb Gebresilassie TesemaThe George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.
Berihun Megabiaw ZelekePlanetary Health Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Yohannes Adama MelakuFHMRI Sleep Health, Flinders University, Adelaide, SA, Australia.
Adelaide Institute for Sleep Health · AUCurtin University · AUGriffith University · AUMonash University · AUSamara University · ETThe Kids Research Institute Australia · AUThe University of Melbourne · AUThe University of Queensland · AUUniversity of New England · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple lifestyle risk factors exhibit a stronger association with non-communicable diseases (NCDs) compared to a single factor, emphasizing the necessity of considering them collectively. By integrating these major lifestyle risk factors, we can identify individuals with an overall unhealthy lifestyle, which facilitates the provision of targeted interventions for those at significant risk of NCDs. The aim of this study was to evaluate the socio-demographic correlates of unhealthy lifestyles among adolescents and adults in Ethiopia.

methodsA national cross-sectional survey, based on the World Health Organization's NCD STEPS instruments, was conducted in Ethiopia. The survey, carried out in 2015, involved a total of 9,800 participants aged between 15 and 69 years. Lifestyle health scores, ranging from 0 (most healthy) to 5 (most unhealthy), were derived considering factors such as daily fruit and vegetable consumption, smoking status, prevalence of overweight/obesity, alcohol intake, and levels of physical activity. An unhealthy lifestyle was defined as the co-occurrence of three or more unhealthy behaviors. To determine the association of socio-demographic factors with unhealthy lifestyles, multivariable logistic regression models were utilized, adjusting for metabolic factors, specifically diabetes and high blood pressure.

resultsApproximately one in eight participants (16.7%) exhibited three or more unhealthy lifestyle behaviors, which included low fruit/vegetable consumption (98.2%), tobacco use (5.4%), excessive alcohol intake (15%), inadequate physical activity (66%), and obesity (2.3%). Factors such as male sex, urban residency, older age, being married or in a common-law relationship, and a higher income were associated with these unhealthy lifestyles. On the other hand, a higher educational status was associated with lower odds of these behaviors.

conclusionIn our analysis, we observed a higher prevalence of concurrent unhealthy lifestyles. Socio-demographic characteristics, such as sex, age, marital status, residence, income, and education, were found to correlate with individuals' lifestyles. Consequently, tailored interventions are imperative to mitigate the burden of unhealthy lifestyles in Ethiopia.

Indexed as

Life StyleObesityAdolescentAdultAgedCross-Sectional StudiesDemographyEthiopiaHumansMaleMiddle AgedPrevalenceRisk FactorsVegetablesYoung AdultEthiopiaLifestyleNCDsSocio-demographicSTEPS

Identifiers

PMID37568091
PMCPMC10416504
OpenAlexW4385764963

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.