Evidence map›Paper›PMID 30139353›Full record

ArticleBMC public health2018

Examining characteristics of recorded and unrecorded alcohol consumers in Kenya.

Rahma S Mkuu, Adam E Barry, Francisco A Montiel Ishino, Ann O Amuta

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Rahma S MkuuDivision of Health Education, Department of Health & Kinesiology, Texas A&M University, 4243 TAMU, Blocker Building, Office 311G, College Station, TX, 77843-4243, USA. rsmkuu@tamu.edu.ORCID http://orcid.org/0000-0001-7921-1430
Adam E BarryDivision of Health Education, Department of Health & Kinesiology, Texas A&M University, 4243 TAMU, Blocker Building, Office 311G, College Station, TX, 77843-4243, USA.
Francisco A Montiel IshinoDivision of Health Education, Department of Health & Kinesiology, Texas A&M University, 4243 TAMU, Blocker Building, Office 311G, College Station, TX, 77843-4243, USA.
Ann O AmutaDepartment of Health Studies, Texas Woman's University, 304 Administration Dr. CFO 1011, Denton, TX, 75204, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to media reports of several deaths, consumption of unrecorded alcohol (i.e., alcohol brewed at home) has emerged as a public health threat in developing countries like Kenya. Empirical data on this issue, however, is scarce. This investigation compared demographic characteristics of Kenyans who drank recorded (regulated) and unrecorded alcohol.

methodsWe examined all respondents who consumed alcohol in the past month (N = 718) on the 2015 nationally representative Kenya STEPwise survey. Descriptive statistics and bivariate logistic regression examined proportion of respondents consuming unrecorded alcohol, and social demographic factors associated with unrecorded alcohol consumption, respectively.

resultsThe sample was primarily male (86%), married (64%), middle class or higher (64%), with an average age of 37 years. Participants reported an average of 2.5 drinking events and 4.3 binge-drinking occasions per month. Overall, 37% of our sample consumed unrecorded alcohol. Compared to those with incomplete primary education or lower, individuals who completed primary education or above were less likely to report consuming unrecorded alcohol (OR = 0.22, 95% CI: 0.12-0.43). Compared to poorest and poor respondents, those identifying as middle class or above were less likely to consume unrecorded alcohol (OR = 0.47, 95% CI: 0.29-.78). Current smokers (OR = 2.19, 95% CI: 1.34-3.60) and those with higher binge drinking occasions in the past month (OR = 1.03, 95% CI: 1.004-1.07) were significantly more likely to consume unrecorded alcohol.

conclusionKenyan adults who consume unrecorded alcohol engage in more binge drinking occasions, smoke, and have lower levels of education and socioeconomic status. It is vital that health promotion interventions aimed at reducing unrecorded alcohol consumption be tailored and targeted to individuals with low socio-economic status in Kenya.

Indexed as

AdolescentAdultAlcohol DrinkingCross-Sectional StudiesFemaleHumansKenyaMaleMiddle AgedRisk FactorsSocial ClassYoung AdultAlcoholAlcohol policyHomebrewKenyaUnrecorded alcoholUnregistered alcohol

Identifiers

PMID30139353
PMCPMC6108107

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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.