Evidence map›Paper›PMID 39390493›Full record

ArticleInternational journal of mental health systems2024

Prevalence and long-term change in alcohol consumption: results from a population-based cohort in Southern India.

S Mahasampath Gowri, Antonisamy Belavendra, Senthil K Vasan, S Keerthi, Sven Andreasson

Abstract read
In one paragraph

Article in International journal of mental health systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

S Mahasampath GowriDepartment of Biostatistics, Christian Medical College, Vellore, 632002, India. gowri.cmc@gmail.com.
Antonisamy BelavendraDepartment of Biostatistics, Christian Medical College, Vellore, 632002, India.
Senthil K VasanMRC Life Course Epidemiology Centre, University of Southampton, Southampton, UK.
S KeerthiDepartment of Biostatistics, Christian Medical College, Vellore, 632002, India.
Sven AndreassonDepartment of Global Public Health, Karolinska Institutet, Stockholm, Sweden. sven.andreasson@ki.se.

Funding

The study was supported by a grant from the Swedish Research Council for Health Working Life and Welfare (FORTE) 2016-07113
6 · The paper itself

Abstract

backgroundAlcohol consumption in India is below the global average, with limited data on long-term effects. The current study aims to examine changes over time among alcohol consumers, the pattern of drinking and help-seeking for alcohol problems among South Indian men.

methodData on the intake of various alcohol types were collected through standard questionnaires in two adult follow-ups [Baseline: 1998-2002, Follow-up: 2016-2019] from male participants in the Vellore birth cohort (VBC). Alcohol intake was converted to weekly standard drink units for analysis. Data on drinking patterns using the Alcohol Use Disorder Identification Test (AUDIT) and information on help-seeking among problem drinkers were collected during follow-up. Socio-demographic associations with alcohol consumption were determined using logistic regression.

resultsThe prevalence of alcohol consumption was 54.5% and 47.7% at the baseline and follow-up, respectively. Over two decades, 12% of men reported to have newly started drinking and 18% quit drinking. Lower education and lower socio-economic status (SES) were the strongest predictors of alcohol consumption. The AUDIT assessment among drinkers reported hazardous drinking of 38.4%, harmful drinking of 4.7% and 3.7% probable alcohol dependence. Among the persons with high AUDIT scores, 25% were concerned about high consumption, and 9% sought help to stop their alcohol consumption.

conclusionOur results showed a decline in alcohol consumption in this cohort over two decades. Among drinkers, a high proportion report hazardous and harmful consumption. Low levels of education and SES are significant predictors of alcohol consumption. A low proportion of help-seeking reflects alcohol-related stigma in the community.

Indexed as

Harmful and hazardous useHelp-seeking behaviorLong-term changePrevalence

Identifiers

PMID39390493
PMCPMC11465489

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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.