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Cross-sectional study on influence of the family environment on the lifetime non-medical use of prescription drugs among Chinese adolescents in Guangdong: an analysis of sex differences

OBJECTIVES: This study aimed to assess if adolescents had used any prescription drugs non-medically, to explore the associations between the family environment and non-medical use of prescription drugs (NMUPD) and to investigate whether there are any sex differences in the aforementioned association...

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Detalles Bibliográficos
Autores principales: Wang, Wanxin, Luo, Min, Xi, Chuhao, Lei, Yiling, Pan, Siyuan, Gao, Xue, Xu, Yan, Huang, Guoliang, Deng, Xueqing, Guo, Lan, Lu, CiYong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615848/
https://www.ncbi.nlm.nih.gov/pubmed/31278096
http://dx.doi.org/10.1136/bmjopen-2018-026758
Descripción
Sumario:OBJECTIVES: This study aimed to assess if adolescents had used any prescription drugs non-medically, to explore the associations between the family environment and non-medical use of prescription drugs (NMUPD) and to investigate whether there are any sex differences in the aforementioned associations. DESIGN: A population-based cross-sectional study. SETTING: A secondary analysis of the cross-sectional data collected from high school students in Guangdong who were sampled using a multistage, stratified-cluster, random-sampling method in the 2015 School-based Chinese Adolescents Health Survey. PARTICIPANTS: A total of 21 774 students aged 12–20 years. DATA ANALYSIS: Multilevel logistic regression models were used to explore the univariable and multivariable relationship between family environment and NMUPD among adolescents. Adjusted ORs and corresponding 95% CI were calculated. OUTCOME MEASURES: Questions regarding to adolescent’ NMUPD (including sedative, opioid and stimulant) were surveyed in the study. RESULTS: A total of 6.3% students reported lifetime NMUPD in this study. The most commonly used drugs were opioids (3.9%), followed by sedatives (3.2%) and stimulants (2.5%). Multilevel analyses indicated that living arrangements, family economic status, parental relationships, parental education levels, monthly pocket money, parental drinking and drug problems were significantly correlated to the NMUPD among all students. Among boys, living arrangements, family economic status, maternal education levels, monthly pocket money, parental drinking and drug problems were significantly related to different types of NMUPD. The same factors were related to girls’ NMUPD, except for maternal education levels. Parental relationships and paternal education levels were also associated with girls’ NMUPD. CONCLUSION: The family environment exerts an important influence on adolescents’ NMUPD. Interventions targeted at families are highly recommended considering the negative effects of NMUPD. In addition, the child’s sex might be taken into consideration when developing and implementing preventive strategies.