| Literature DB >> 29240799 |
Chun-Hsien Lee1,2, Fong-Ching Chang1, Sheng-Der Hsu3, Hsueh-Yun Chi4, Li-Jung Huang5, Ming-Kung Yeh6.
Abstract
BACKGROUND: While self-medication is common, inappropriate self-medication has potential risks. This study assesses inappropriate self-medication among adolescents and examines the relationships among medication literacy, substance use, and inappropriate self-medication.Entities:
Mesh:
Year: 2017 PMID: 29240799 PMCID: PMC5730183 DOI: 10.1371/journal.pone.0189199
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic characteristics and substance use by gender.
| Total | Female | Male | Chi-square test | ||||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | p value | |
| 0.3581 | |||||||
| Primary | 1696 | 27.3 | 818 | 48.2 | 878 | 51.8 | |
| Middle | 2280 | 36.6 | 1106 | 48.5 | 1174 | 51.5 | |
| High | 2250 | 36.1 | 1131 | 50.3 | 1119 | 49.7 | |
| < .0001 | |||||||
| Poor | 1152 | 18.5 | 499 | 43.3 | 653 | 56.7 | |
| Middle and above | 5074 | 81.5 | 2556 | 50.4 | 2518 | 49.6 | |
| 0.2904 | |||||||
| No | 5821 | 93.5 | 2867 | 49.2 | 2954 | 50.8 | |
| Yes | 404 | 6.5 | 188 | 46.5 | 216 | 53.5 | |
| 0.0433 | |||||||
| No | 5816 | 93.4 | 2874 | 49.4 | 2942 | 50.6 | |
| Yes | 409 | 6.6 | 181 | 44.2 | 228 | 55.8 | |
| <0.001 | |||||||
| No | 5673 | 91.1 | 2846 | 50.2 | 2827 | 49.8 | |
| Yes | 551 | 8.8 | 208 | 37.7 | 343 | 62.3 | |
| <0.001 | |||||||
| No | 6004 | 96.5 | 3006 | 50.1 | 2998 | 49.9 | |
| Yes | 219 | 3.5 | 47 | 21.5 | 172 | 78.5 | |
Notes: Total N = 6226 Female n = 3055 Male n = 3171
Medication knowledge, self-efficacy, and medication literacy by gender.
| Total | Female | Male | T-test | ||||
|---|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | Mean | SD | p value | |
| Knowledge of correct medication use | 0.81 | 0.18 | 0.83 | 0.14 | 0.79 | 0.21 | < .0001 |
| Self-efficacy of correct medication use | 4.21 | 0.83 | 4.27 | 0.74 | 4.16 | 0.91 | < .0001 |
| Medication literacy | 4.03 | 1.25 | 4.24 | 1.13 | 3.83 | 1.32 | < .0001 |
Notes: SD: Standard deviation; N = 6226
Fig 1Health complaints among adolescents who self-medicated.
Fig 2The source of drug information for self-medication.
Prevalence of inappropriate self-medication among adolescents by demographic characteristics and substance use.
| Total SM (n = 2849) | Not reading label (n = 288) | Use of excessive drug dosage (n = 614) | Polypharmacy (n = 864) | ||||
|---|---|---|---|---|---|---|---|
| n | n (%) | p value | n (%) | p value | n (%) | p value | |
| School level | 0.3737 | <0.0001 | <0.0001 | ||||
| Primary | 745 | 84 (11.3) | 195 (26.2) | 316 (42.4) | |||
| Middle | 1058 | 107 (10.1) | 249 (23.5) | 331 (31.3) | |||
| High | 1046 | 97 (9.3) | 170 (16.2) | 217 (20.7) | |||
| Gender | 0.0017 | <0.0001 | <0.0001 | ||||
| Female | 1397 | 116 (8.3) | 183 (13.1) | 300 (21.5) | |||
| Male | 1452 | 172 (11.8) | 431 (29.7) | 564 (38.8) | |||
| Household income | 0.0505 | 0.0084 | <0.0001 | ||||
| Poor | 531 | 66 (12.4) | 137 (25.8) | 193 (36.3) | |||
| Middle and above | 2318 | 222 (9.6) | 477 (20.6) | 671 (28.9) | |||
| Chronic disease | 0.9297 | 0.0341 | 0.0008 | ||||
| No | 2645 | 267 (10.1) | 558 (21.1) | 782 (29.6) | |||
| Yes | 204 | 21 (10.3) | 56 (27.5) | 82 (40.2) | |||
| Family members with a professional health background | 0.6099 | 0.2246 | 0.0339 | ||||
| No | 2640 | 269 (10.2) | 562 (21.3) | 787 (29.8) | |||
| Yes | 209 | 19 (9.1) | 52 (24.9) | 77 (36.8) | |||
| Alcohol use | <0.0001 | 0.0082 | 0.0417 | ||||
| No | 2547 | 237 (9.3) | 531 (20.9) | 757 (29.7) | |||
| Yes | 302 | 51 (16.9) | 83 (27.5) | 107 (35.4) | |||
| Tobacco use | <0.0003 | <0.0001 | <0.0001 | ||||
| No | 2723 | 263 (9.7) | 558 (20.5) | 797 (29.3) | |||
| Yes | 126 | 25 (19.8) | 56 (44.4) | 67 (53.2) | |||
Notes: Chi-square tests were conducted; SM: Self-medication
Factors related to self-medication.
| Self-medication | ||||||
|---|---|---|---|---|---|---|
| Simple logistic regression | Multiple logistic regression | |||||
| Variable | OR | 95% CI | p value | Adj. OR | 95% CI | p value |
| School level | ||||||
| Middle vs. primary | 1.10 | 0.97–1.25 | 0.1257 | 1.09 | 0.96–1.24 | 0.1743 |
| High vs. primary | 1.11 | 0.98–1.26 | 0.1141 | 1.09 | 0.96–1.24 | 0.1850 |
| Gender (male vs. female) | 1.00 | 0.91–1.11 | 0.9705 | 0.95 | 0.86–1.05 | 0.3503 |
| Household income (Middle and above vs. poor) | 0.98 | 0.87–1.12 | 0.8052 | 1.02 | 0.89–1.16 | 0.7430 |
| Chronic disease (yes vs. no) | 1.22 | 1.01–1.50 | 0.0492 | 1.20 | 0.97–1.47 | 0.0872 |
| Family members with a professional health background (yes vs. no) | 1.26 | 1.03–1.54 | 0.0256 | 1.25 | 1.02–1.53 | 0.0299 |
| Knowledge of correct medication use | 1.02 | 0.78–1.34 | 0.8808 | 1.53 | 1.12–2.09 | 0.0073 |
| Self-efficacy of correct medication use | 0.91 | 0.85–0.96 | 0.0010 | 0.90 | 0.85–0.96 | 0.0021 |
| Medication literacy | 0.93 | 0.89–0.96 | 0.0002 | 0.93 | 0.89–0.97 | 0.0006 |
| Alcohol use (yes vs. no) | 1.49 | 1.25–1.77 | < .0001 | 1.35 | 1.09–1.66 | 0.0045 |
| Tobacco use (yes vs. no) | 1.63 | 1.24–2.15 | 0.0004 | 1.27 | 0.91–1.75 | 0.1558 |
Notes: Simple and multiple logistic regressions were conducted; OR: Odds ratio; CI: confidence interval; Self-medication model N = 6209 yes n = 2844 no n = 3365
Factors related to inappropriate adolescent self-medication behaviors.
| Not reading label | Use of excessive dosages | Polypharmacy | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Adj. OR | 95% CI | p value | Adj. OR | 95% CI | p value | Adj. OR | 95% CI | p value | |
| School level | 0.7745 | 0.0020 | < .0001 | ||||||
| Middle vs. primary | 0.96 | 0.70–1.31 | 0.7941 | 1.11 | 0.87–1.41 | 0.4050 | 0.70 | 0.56–0.86 | 0.0010 |
| High vs. primary | 0.89 | 0.64–1.24 | 0.4866 | 0.73 | 0.56–0.94 | 0.0166 | 0.41 | 0.32–0.52 | < .0001 |
| Gender (male vs. female) | 1.25 | 0.97–1.64 | 0.0904 | 2.06 | 1.68–2.53 | < .0001 | 1.75 | 1.47–2.10 | < .0001 |
| Household income (Middle and above vs. poor) | 0.95 | 0.69–1.29 | 0.7381 | 0.99 | 0.78–1.27 | 0.978 | 0.92 | 0.74–1.15 | 0.4830 |
| Chronic disease (yes vs. no) | 0.91 | 0.56–1.48 | 0.7019 | 1.23 | 0.85–1.77 | 0.2699 | 1.52 | 1.09–2.12 | 0.0122 |
| Family members with a professional health background (yes vs. no) | 0.85 | 0.51–1.40 | 0.5116 | 1.05 | 0.73–1.51 | 0.8094 | 1.23 | 0.88–1.70 | 0.2233 |
| Knowledge of correct medication use | 0.42 | 0.22–0.81 | 0.0097 | 0.15 | 0.09–0.25 | < .0001 | 0.21 | 0.21–0.35 | < .0001 |
| Self-efficacy of correct medication use | 0.64 | 0.56–0.74 | < .0001 | 0.88 | 0.78–0.99 | 0.0347 | 0.85 | 0.76–0.94 | 0.0028 |
| Medication literacy | 0.97 | 0.87–1.08 | 0.5982 | 0.67 | 0.62–0.73 | < .0001 | 0.69 | 0.63–0.74 | < .0001 |
| Alcohol use (yes vs. no) | 1.84 | 1.21–2.80 | 0.0041 | 0.98 | 0.67–1.44 | 0.9353 | 1.10 | 0.78–1.55 | 0.5861 |
| Tobacco use (yes vs. no) | 1.03 | 0.57–1.84 | 0.9245 | 1.71 | 1.02–2.84 | 0.0401 | 1.56 | 0.96–2.54 | 0.0741 |
Notes: Multiple logistic regression analysis was conducted; Adj. OR: Adjusted odds ratio; CI: confidence interval; Not reading label model N = 2843 yes n = 287 no n = 2556; Use of excessive dosages model N = 2844, yes n = 611 no = 2233; Polypharmacy model N = 2844 yes n = 862 no n = 1982