Evidence map›Paper›PMID 41333232›Full record

ArticleJugan geon-gang gwa jilbyeong2024

[Age-period-cohort Analysis of Change Trend in Drinking Behaviors among Adults in the Republic of Korea].

Kwang Kee Kim, Jung JeKarl, Minjoo Choi, Eunsil Cheon, Heewon Kang, Jihee Kim, Sunhye Choi, Kyungwon Oh

Abstract readEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2024. 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

8 authors.

Kwang Kee Kim인제대학교 보건대학원.
Jung JeKarl이화여자대학교 임상바이오헬스대학원.
Minjoo Choi인제대학교 일반대학원.
Eunsil Cheon서울대학교 보건대학원.
Heewon Kang서울대학교 보건환경연구소.
Jihee Kim질병관리청 만성질환관리국 건강영양조사분석과.
Sunhye Choi질병관리청 만성질환관리국 건강영양조사분석과.
Kyungwon Oh질병관리청 만성질환관리국 건강영양조사분석과.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major functions of public health should be monitoring levels of alcohol consumption and the changes over time. However, little attention has been paid to the changing trends in alcohol consumption in the social context. The study aim was to describe alcohol consumption levels for the period 1998-2021 in terms of the monthly prevalence of alcohol use (MPA) and the prevalence of high-risk alcohol use (PHA). Additionally, change trends were broken down by age, period, and cohort effect. The study used data from Korea's National Health and Nutrition Examination Survey from 1998 to 2021. The data showed a differential pattern of change in both MPA and PHA between gender, with men tending to exhibit a decrease or remaining at a plateau. However, women exhibited a discernible increase in both MPA and PHA. A convergence theory of drinking behavior between gender has been confirmed among Korean adults. Age-period-cohort models identify the effects of age, with both MPA and PHA reaching the highest rates at age 45 years and then declining among both men and women. During the period 2009-2011 and around 2015, the relative risk (RR) of the likelihood of MPA and PHA was higher than the RR in any other year studied, which indicates a period effect. In addition, birth cohort effects were observed in MPA and PHA among adults, with more discernible patterns in women. Policy implications were discussed with the aim of reducing harm caused by alcohol use, with a high policy priority placed on the reduction of alcohol use among women.

Indexed as

Alcohol drinkingNational health and nutrition examination surveyRepublic of KoreaSecondary data analysisTrends

Identifiers

PMID41333232
PMCPMC12480406

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.