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Alcohol consumption in India: a systematic review and modelling study for sub-national estimates of drinking patterns

Background and Aims: In India, alcohol per capita consumption (APC) has substantially
increased over the past 2 decades. Although consumption does vary across the country,
consistent state-level data are lacking. We aimed to identify all state-level alcohol
exposure estimates since 2000 to (i) model consistent current drinking (CD) (12 months)
prevalence estimates for all 36 states/union territories (UT) in 2019 and (ii) compare
state-level CD trends with national-level APC trends.
Design: A systematic review for studies on the Indian state-level prevalence of CD, lifetime
abstinence (LA), alcohol use disorders (AUD) or the quantity of alcohol consumed
among current drinkers (QU) was conducted. Subsequently, statistical modelling was
applied.
Setting: Data were collected and modelled for all Indian states/UTs.
Participants: Studies since 2000 referring to the general adult population (≥15 years) of
at least one Indian state/UT were eligible. The total sample size covered was
29 600 000 (males: females, 1:1.6).
Measurements: Results on LA, AUD and QU were summarized descriptively. For (i) the
state-, sex- and age-specific CD prevalence was estimated using random intercept
fractional response models. For (ii) random intercept and slope models were performed.
Findings: Of 2870 studies identified, 30 were retained for data extraction. LA, AUD and
QU data were available for 31, 36 and 12 states/UTs, respectively. CD model estimates
ranged from 6.4% (95% CI = 2.1%–18.1%; males) in Lakshadweep and 1.3% (95% CI =
0.7%–2.6%; females) in Delhi to 76.1% (95% CI = 68.1%–82.6%; males) and 63.7% (95%
CI = 49.4%–75.7%; females) in Arunachal Pradesh. Over time, CD decreased in most
states/UTs in the observed data, contradicting increasing national-level APC trends.
Conclusions: Alcohol use (measured as consistent current drinking) in India has large
regional variations, with alcohol consumption being most prevalent in the North-East,
Chhattisgarh, Telangana, Himachal Pradesh, Punjab and Jharkhand.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:88872
Date05 January 2024
CreatorsRastogi, Ankit, Manthey, Jakob, Wiemker, Veronika, Probst, Charlotte
PublisherWiley
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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