Evidence map›Paper›PMID 38964881›Full record

ArticleBMJ global health2024

The effect of an annual temporary abstinence campaign on population-level alcohol consumption in Thailand: a time-series analysis of 23 years.

Udomsak Saengow, Roengrudee Patanavanich, Paibul Suriyawongpaisul, Wichai Aekplakorn, Bundit Sornpaisarn, Huan Jiang, Jurgen Rehm

Abstract read
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
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  6. Article
  7. Prevalence and characteristics of participants inFrontiers in public health · 2024
    Article
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

7 authors.

Udomsak SaengowCenter of Excellence in Data Science for Health Study, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand saengow.udomsak@gmail.com.ORCID http://orcid.org/0000-0001-6102-168X
Roengrudee PatanavanichDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0001-6277-3912
Paibul SuriyawongpaisulDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Wichai AekplakornDepartment of Community Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Bundit SornpaisarnDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Huan JiangDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0898-2339
Jurgen RehmDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-5665-0385

Funding

Evaluation of the impact of alcohol control policies on morbidity and mortality in Lithuania and other Baltic statesR01AA028224 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI REHM, JUERGEN T, ŠTELEMĖKAS, MINDAUGAS · 2020 to 2024
$2.2M
NIAAA NIH HHS R01 AA028224
6 · The paper itself

Abstract

rationaleA small number of earlier studies have suggested an effect of temporary abstinence campaigns on alcohol consumption. However, all were based on self-reported consumption estimates.

objectivesUsing a time series of 23-year monthly alcohol sales data, this study examined the effect of an annual temporary abstinence campaign, which has been organised annually since 2003 during the Buddhist Lent period (spanning 3 months), on population-level alcohol consumption.

methodsData used in the analysis included a time series of monthly alcohol sales data from January 1995 to September 2017 and the midyear population counts for those years. Generalised additive models (GAM) were applied to estimate trends as smooth functions of time, while identifying a relationship between the Buddhist Lent abstinence campaigns on alcohol consumption. The sensitivity analysis was performed using a seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model.

interventionThe Buddhist Lent abstinence campaign is a national mass media campaign combined with community-based activities that encourages alcohol abstinence during the Buddhist Lent period, spanning 3 months and varying between July and October depending on the lunar calendar. The campaign has been organised annually since 2003. MAIN OUTCOME: Per capita alcohol consumption using monthly alcohol sales data divided by the midyear total population number used as a proxy.

resultsMedian monthly per capita consumption was 0.43 (IQR: 0.37 to 0.51) litres of pure alcohol. Over the study period, two peaks of alcohol consumption were in March and December of each year. The significant difference between before-campaign and after-campaign coefficients in the GAM, -0.102 (95% CI: -0.163 to -0.042), indicated an effect of the campaign on alcohol consumption after adjusting for the time trend and monthly seasonality, corresponding to an average reduction of 9.97% (95% CI: 3.65% to 24.18%). The sensitivity analyses produced similar results, where the campaign was associated with a decrease in consumption of 8.1% (95% CI: 0.4% to 15.7%).

conclusionsThis study demonstrated that the temporary abstinence campaign was associated with a decrease in population-level alcohol consumption during campaign periods. The finding contributed to a growing body of evidence on the effectiveness of emerging temporary abstinence campaigns.

Indexed as

Alcohol AbstinenceAlcohol DrinkingHealth PromotionBuddhismCommerceFemaleHumansMaleThailandEpidemiologyHealth education and promotionMental Health & PsychiatryPrevention strategiesPublic Health

Identifiers

PMID38964881
PMCPMC11227749

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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.