Evidence map›Paper›PMID 34103061›Full record

ArticleSubstance abuse treatment, prevention, and policy2021

The relationship between family intimacy and relapse tendency among people who use drugs: a moderated mediation model.

Xiaoqing Zeng, Mengyao Lu, Meirong Chen

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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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

3 authors.

Xiaoqing ZengSchool of Psychology, Institute of Psychology, Jiangxi Normal University, Nanchang, China. zxq3701@163.com.ORCID 0000-0002-0130-5418
Mengyao LuSchool of Psychology, Institute of Psychology, Jiangxi Normal University, Nanchang, China.
Meirong ChenDepartment of Education, Nanchang Normal University, Nanchang, China.

Funding

the "13th Five-Year Plan" Project of Educational Science in Jiangxi Province 20YB19the National Social Science Foundation of China 19BGL230
6 · The paper itself

Abstract

backgroundDrug addiction is difficult to overcome. The relapse rate is high, and the negative impact on individuals, families and society is severe, therefore exploring social psychological mechanisms to reduce relapse has very important theoretical and practical value. However, the underlying mechanism by which the interaction between family and individual factors influences the tendency to relapse remain unclear. Thus, the purpose of this paper is to discuss the relationship between family intimacy and relapse tendency of people who use drugs, as well as the mediating effect of psychological capital and the role of self-efficacy in it.

methodsA total of 817 male who use drugs were investigated via the Family Intimacy and Adaptability Scale, General Self-Efficacy Scale, Positive Psychological Capital Questionnaire and Relapse Tendency Questionnaire. Using Hayes's process macro carried out moderated mediation analysis.

results(1) The average family intimacy score of people who use drugs was low. (2) Family intimacy negatively predicted relapse tendency in people who use drugs. (3) Psychological capital mediated the relationship between family intimacy and relapse tendency. (4) The first half of the indirect effect of family intimacy on relapse tendency was regulated by self-efficacy, compared with the low level of self-efficacy, the psychological capital level with high self-efficacy is higher.

conclusionThe results of this study suggest that the intimacy between the people who use drugs and their family members should be improved, and the rehabilitation center should take various measures to enhance the psychological capital level and the level of self-efficacy of the people who use drugs, which will be helpful to reduce their relapse tendency.

Indexed as

Pharmaceutical PreparationsSexual BehaviorHumansMaleRecurrenceSelf EfficacySurveys and QuestionnairesPharmaceutical PreparationsFamily intimacyPositive psychological capitalRelapse tendencySelf-efficacy

Identifiers

PMID34103061
PMCPMC8185318

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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.