Evidence map›Paper›PMID 36544132›Full record

ArticleBMC psychiatry2022

Temporal associations between depressive features and self-stigma in people with substance use disorders related to heroin, amphetamine, and alcohol use: a cross-lagged analysis.

Mohsen Saffari, Kun-Chia Chang, Jung-Sheng Chen, Ching-Wen Chang, I-Hua Chen, Shih-Wei Huang, Chieh-Hsiu Liu, Chung-Ying Lin, Marc N Potenza

Abstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Neural Correlates of Metacognition Impairment in Opioid Addiction.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  5. Somebody to Lean on: Understanding Self-Stigma and Willingness to Disclose in the Context of Addiction.International journal of environmental research and public health · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. 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

9 authors.

Mohsen Saffari *Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Kun-Chia Chang *Department of General Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan, Taiwan.
Jung-Sheng Chen *Department of Medical Research, E-Da Hospital, Kaohsiung, Taiwan.
Ching-Wen ChangGraduate Institute of Social Work, National Taiwan Normal University, Taipei, Taiwan.
I-Hua ChenChinese Academy of Education Big Data, Qufu Normal University, Qufu City, Shandong, China. ahole.chen@gmail.com.
Shih-Wei HuangInstitute of Environmental Toxin and Emerging Contaminant, Cheng Shiu University, Kaohsiung, 83347, Taiwan.
Chieh-Hsiu LiuDepartment of Family Medicine, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan. ciaochieh@gmail.com.
Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan. cylin36933@gmail.com.
Marc N PotenzaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundDepression is a mental health problem and substance use concerns are socially unacceptable behaviors. While depression and substance use may individually impact self-concept and social relationships, their co-occurrence can increase the risk of self-stigmatization. However, there is no evidence regarding how depression and self-stigma may influence each other over time. The aim of the current study was to evaluate the cross-sectional and longitudinal relationships between features of depression and self-stigma in people with substance use disorders.

methodsOverall, 319 individuals with substance use disorders (273 males) with a mean (± SD) age of 42.2 (± 8.9) years were recruited from a psychiatric center in Taiwan by convenience sampling. They were assessed for features of depression and self-stigma at four times over a period of nine months using the depression subscale of the Depression Anxiety Stress Scales (DASS-21) and Self-Stigma Scale-Short S (SSS-S), respectively. Repeated-measures analyses of variance, Pearson correlations and cross-lagged models using structural equation modeling examined cross-sectional and temporal associations between depression and self-stigma.

resultsPositive cross-sectional associations were found between depressive features and all assessed forms of self-stigma over time (0.13 < r < 0.92). Three models of cross-lagged associations between different forms of self-stigma and depressive features indicated good fit indices (comparative fit index > 0.98). The direction of associations between depressive features towards self-stigma was stronger than the opposite direction.

conclusionPositive associations between depressive features and self-stigma were found in people with substance use disorders. Although these associations may be bidirectional longitudinally, the directions from depressive features to self-stigma may be stronger than the reverse directions, suggesting treatment of depression in earlier stages may prevent self-stigmatization and subsequent poor outcomes in people with substance use disorders.

Indexed as

HeroinSubstance-Related DisordersAdultAmphetamineCross-Sectional StudiesDepressionHumansMaleMiddle AgedSocial StigmaAmphetamineHeroinAddictive behaviorsAlcohol use disorderAmphetamine use disorderCross-lagged analysisDepressionLongitudinal studyOpioid use disorderSubstance-related disorders

Identifiers

PMID36544132
PMCPMC9768939

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.