Evidence map›Paper›PMID 40495065›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Perceived risk of illicit drug consumption in singapore: findings from a nationwide survey.

Rajeswari Sambasivam, Yen Sin Koh, Edimansyah Abdin, P V Asharani, Yunjue Zhang, Wen Lin Teh, Siow Ann Chong, Mythily Subramaniam

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Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

8 authors.

Rajeswari SambasivamResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore. Rajeswari_sambasivam@imh.com.sg.ORCID http://orcid.org/0000-0002-0436-9919
Yen Sin KohResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.
Edimansyah AbdinResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.
P V AsharaniResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.
Yunjue ZhangResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.
Wen Lin TehResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.
Siow Ann ChongResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.
Mythily SubramaniamResearch Division, Institute of Mental Health, 10 Buangkok View Blk 7, 539747, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify groups of risk perception of illicit drug consumption and associated sociodemographic and mental health factors in Singapore.

methodsA representative sample of 6,509 Singapore citizens and permanent residents aged 15 to 65 years was randomly selected for participation over 14 months. Information on perceived risk related to illicit drug consumption, and correlates were collected via questionnaires. Data were analysed using latent class analysis to identify risk perception profiles. Logistic regression analyses were performed to determine the sociodemographic and mental health correlates across different risk perception profiles.

resultsFour profiles emerged; high risk perception across all substances and frequencies, low risk perception across all substances and frequencies, low risk perception of cannabis, and low risk perception of occasional illicit drug consumption. About 9.4% (n = 557) reported low risk perception of cannabis. Males (vs. females, RR: 2.15, 95% CI: 1.57-2.94) were more likely to have a low risk perception of cannabis. Those aged 35-65 years (35-49 vs. 15-34, RR: 0.37, 95% CI: 0.25-0.54; 50-65 vs. 15-34, RR: 0.19, 95% CI: 0.10-0.37), with secondary school (vs. degree and above, RR: 0.23, 95% CI: 0.13-0.39) or pre-tertiary (vs. degree and above, RR: 0.42, 95% CI: 0.29-0.61) education were less likely to have a low risk perception of cannabis. Ever-smokers (vs. non-smokers, RR: 1.86, 95% CI: 1.31-2.64), and those grouped as "safe drinking" (vs. abstainers, RR: 3.80, 95% CI: 2.50-5.77) or "hazardous drinking" (vs. abstainers, RR: 7.00, 95% CI: 3.69-13.28) were more likely to perceive low risk of cannabis. Individuals with a low risk perception across all substances and profiles were more likely to report symptoms of anxiety (OR: 7.17, 95% CI: 1.31-38.98) when compared to high risk perception across all substances and frequencies individuals.

conclusionsThese findings provide critical insights for tailoring prevention and education initiatives to address substance use behaviours in Singapore.

Indexed as

Illicit DrugsSubstance-Related DisordersAdolescentAdultAgedFemaleHumansMaleMiddle AgedPerceptionSingaporeSurveys and QuestionnairesYoung AdultIllicit DrugsDrug preventionLatent class analysisPerceived riskSubstance consumption

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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.