Evidence map›Paper›PMID 42018339›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Alcohol Use and Risk of Non-Communicable Diseases Among Male Adults: A Comparative Study of an Urban and Rural Setting in Zimbabwe.

Norman Manyeruke, Kerry Vermaak, Wilfred N Nunu, Nicholas Mudonhi

Abstract readComparative Study
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Norman ManyerukeNational University of Science and Technology (NUST), Bulawayo, Zimbabwe.ORCID 0000-0002-6466-6149
Kerry VermaakUniversity of Kwazulu Natal (UKZN), Durban, South Africa.
Wilfred N NunuUniversity of Botswana, Gaborone, Botswana.ORCID 0000-0001-8421-1478
Nicholas MudonhiNational University of Science and Technology (NUST), Bulawayo, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol consumption has been associated with metabolic risk factors (hypertension and diabetes) for non-communicable diseases (NCDS). No studies have been done in Zimbabwe linking alcohol consumption patterns and metabolic risk factors for NCDs. This study sought to compare the prevalence of alcohol consumption levels and practices between rural and urban areas among male adults and assess the relationship between alcohol consumption and metabolic risk factors for NCDs. This study made use of the cross-sectional survey using the WHO stepwise questionnaire. The indicator used in the sample size calculation was based on the proportion of men and women found to be obese when using the standard BMI measurement adopted in the 2010 Zimbabwe Demographic and Health survey. This gave a sample size of 400 with 200 participants from each of the 2 provinces. Regression analysis was performed for relationships between alcohol consumption and blood pressure, blood glucose and demographic variables. The high-income earners consumed more than the low-income earners. Those aged 25 to 34 years were more likely to consume more than those aged 18 to 24 years. The rural group was 79% (0.207 [0.770-0.559]

Indexed as

Alcohol DrinkingNoncommunicable DiseasesRural PopulationUrban PopulationAdolescentAdultCross-Sectional StudiesHumansHypertensionMaleMiddle AgedPrevalenceRisk FactorsSocioeconomic FactorsYoung AdultZimbabwealcoholbinge drinkingdemographic factorsnon-communicable diseasesurbanisation

Identifiers

PMID42018339
PMCPMC13111838

What OpenQuestion holds

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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.