Evidence map›Paper›PMID 31278096›Full record

ArticleBMJ open2019

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.

Wanxin Wang, Min Luo, Chuhao Xi, Yiling Lei, Siyuan Pan, Xue Gao, Yan Xu, Guoliang Huang, Xueqing Deng, Lan Guo and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Patterns of drug overdose deaths in Kuwait from 2014 to 2018.Public health in practice (Oxford, England) · 2021
    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

11 authors at 1 institution in 1 country.

Wanxin Wang *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Min Luo *Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Chuhao XiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yiling LeiDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Siyuan PanDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xue GaoDepartment of Drug Abuse Control, Center for ADR Monitoring of Guangdong, Guangzhou, China.
Yan XuDepartment of Drug Abuse Control, Center for ADR Monitoring of Guangdong, Guangzhou, China.
Guoliang HuangDepartment of Drug Abuse Control, Center for ADR Monitoring of Guangdong, Guangzhou, China.
Xueqing DengDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Lan GuoDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
CiYong LuDepartment of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-3524-9784
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis 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.

designA population-based cross-sectional study.

settingA 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.

participantsA 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.

resultsA 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.

conclusionThe 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.

Indexed as

Adolescent BehaviorFamily CharacteristicsFamily RelationsSocial EnvironmentAdolescentChildChinaCross-Sectional StudiesFemaleHealth SurveysHumansLogistic ModelsMaleOdds RatioPrescription Drug MisuseSex FactorsChinese adolescentfamily environmentnon-medical useprescription drug

Identifiers

PMID31278096
PMCPMC6615848
OpenAlexW2954316551

What OpenQuestion holds

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LicenceCC BY-NC
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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.