| Literature DB >> 28381234 |
Siyan Yi1,2, Karl Peltzer3,4,5, Supa Pengpid3,4, Indri Hapsari Susilowati6.
Abstract
BACKGROUND: Illicit drug use among university students has been recognized as a global public health issue in recent years. It may lead to poor academic performance that in turn leads to poor productivity in their later life. This study explores prevalence of and factors associated with illicit drug use among university students in the Association of Southeast Asian Nations (ASEAN).Entities:
Keywords: ASEAN; Illicit drug use; Prevalence; Risk factors; Substance use; University students
Mesh:
Year: 2017 PMID: 28381234 PMCID: PMC5382470 DOI: 10.1186/s13011-017-0096-3
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Prevalence of different levels of illicit drug use among university students in nine countries in the ASEAN
| Country | Sample | Illicit drug use in the past 12 months | ||
|---|---|---|---|---|
| Number | Never use | Infrequent use | Frequent use | |
| Cambodiaa | 1134 | 1132 (99.8) | 2 (0.2) | 0 (0.0) |
| Indonesiaa | 981 | 532 (54.2) | 397 (40.5) | 52 (5.3) |
| Laosa | 806 | 394 (48.9) | 368 (45.7) | 44 (5.5) |
| Malaysiab | 1023 | 974 (95.2) | 47 (4.6) | 2 (0.2) |
| Myanmara | 639 | 545 (85.3) | 78 (12.2) | 16 (2.5) |
| Philippinesa | 757 | 634 (83.8) | 99 (13.1) | 24 (3.2) |
| Singaporec | 887 | 781 (88.0) | 87 (9.8) | 19 (2.1) |
| Thailandb | 884 | 784 (88.7) | 83 (9.4) | 17 (1.9) |
| Vietnama | 817 | 808 (98.9) | 3 (0.4) | 6 (0.7) |
| All | 7923 | 6584 (83.1) | 1164 (14.7) | 175 (2.2) |
Abbreviations: ASEAN Association of Southeast Asian Nations
aLower-middle income country; bUpper-middle income country; cHigh-income country [36]
Factors associated with illicit drug use in the past 12 months among university students in nine countries in ASEAN
| Variables in the model | Frequent use | Infrequent use | Never vs. ever use |
|---|---|---|---|
| AOR (95% CI)a | AOR (95% CI)b | AOR (95% CI)c | |
| Age (in years) | |||
| 18–19 (31.4%) | Reference | Reference | Reference |
| 20–21 (41.5%) | 1.29 (0.65–2.57) | 1.19 (0.70–2.01) | 0.83 (0.48–1.43) |
| 22–30 (27.0%) | 0.88 (0.42–1.82) | 1.33 (0.65–2.75) | 0.79 (0.39–1.59) |
| Gender | |||
| Female (62.5%) | Reference | Reference | Reference |
| Male (37.5%) | 1.03 (0.68–1.55) | 0.71 (0.53–0.96)* | 1.34 (1.02–1.76)* |
| Family background | |||
| Quite well off/wealthy (36.0%) | Reference | Reference | Reference |
| Quite poor, not well off (64.0%) | 1.13 (0.80–1.60) | 0.81 (0.54–1.23) | 1.18 (0.80–1.73) |
| Living situationd | |||
| With parents (35.7%) | Reference | Reference | Reference |
| Away from parents (64.3%) | 0.60 (0.39–0.91)* | 0.76 (0.66–0.88)*** | 1.36 (0.97–1.92) |
| Country income categories | |||
| Upper-middle/high income (38.7%) | Reference | Reference | Reference |
| Lower middle income (61.3%) | 3.36 (1.28–8.82)* | 2.83 (2.41–3.33)*** | 0.25 (0.10–0.61)** |
| Poor subjective health status (4.7%) | 1.84 (1.26–2.68)** | 0.99 (0.59–1.67) | 0.91 (0.58–1.44) |
| Depression (severe) (9.2%) | 1.13 (0.75–1.71) | 1.26 (0.86–1.86) | 0.80 (0.58–1.10) |
| Current tobacco use (4.0%) | 3.35 (0.88–12.71) | 2.09 (0.76–5.72) | 0.42 (0.14–1.23) |
| Binge drinking (past month) (6.1%) | 1.67 (0.66–4.27) | 1.92 (1.03–3.57)* | 0.52 (0.30–0.90)* |
| Having been in physical fight in the past 12 months (6.9%)d | 1.39 (0.66–2.95) | 1.25 (0.92–1.69) | 0.77 (0.55–1.09) |
| Poor academic performance (11.2%) | 0.50 (0.11–2.40) | 0.34 (0.10–1.13) | 2.79 (0.82–9.44) |
Abbreviations: AOR adjusted odds ratio, ASEAN Association of Southeast Asian Nations, CI confidence interval
aHosmer & Lemeshow Chi-square = 6.16, P = 0.630; Nagelkerke R2 = 0.11
bHosmer & Lemeshow Chi-square = 42.79, P < 0.001; Nagelkerke R2 = 0.15
cHosmer & Lemeshow Chi-square = 31.37, P < 0.001; Nagelkerke R2 = 0.15
dData from Cambodia were excluded
*** P < 0.001; ** P < 0.01; * P < 0.05