Evidence map›Paper›PMID 40200218›Full record

ArticleBMC public health2025

Predictors of self-assessed likelihood of future drug use among Korean adults: the role of health beliefs and personality traits.

Joon-Yong Yang, Minhye Kim, Aeree Sohn

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Joon-Yong YangInstitute for Public Health and Local Government, Center for Healthy City, Inje University, 197 Inje-ro, Gimhae-si, 50834, Gyeongsangnam-do, Republic of Korea.
Minhye KimDepartment of Sociology, Changwon National University, Street, Changwon, 51140, Gyeongsangnam-do, Republic of Korea.
Aeree SohnDepartment of Public Health, Sahmyook University, Nowon-gu Hwarang-ro 815, Seoul, 01795, Republic of Korea. aeree@syu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Substance use is a growing public health concern in South Korea. However, research on the predictive factors influencing future drug use remains limited. This study examined the self-assessed likelihood of future drug use in a sample of 3,000 Korean adults aged 19-59 years, focusing on health beliefs and personality traits as predictors. Using multiple regression analysis based on the health belief model (HBM) and selected personality traits, we explored how perceived susceptibility, self-efficacy, hope for the future, and sensation-seeking influence the likelihood of drug use. The results indicated that demographic factors such as sex, age, and income had limited predictive power. In contrast, past drug use and recent violence-related trauma significantly increased the likelihood of future drug use. Higher perceived susceptibility was associated with an increased likelihood of drug use, whereas greater self-efficacy was associated with a reduced likelihood. Among the personality traits, hope for the future was found to decrease, and sensation-seeking to increase the likelihood of drug use. This study underscores the need for interventions to enhance self-control and reduce drug accessibility. However, limitations such as reliance on self-reported data and a cross-sectional design suggest the need for longitudinal studies and culturally adapted measures in future research. These advances are crucial for validating and extending these findings, ultimately contributing to more effective drug prevention strategies.

Indexed as

Health Belief ModelPersonalitySubstance-Related DisordersAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedRepublic of KoreaSelf EfficacyYoung AdultHealth belief modelLikelihood of future drug usePersonality traitsSubstance use prediction

Identifiers

PMID40200218
PMCPMC11978181

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.