Evidence map›Paper›PMID 31898214›Full record

ArticleThe Psychiatric quarterly2020

Social Stigma Towards People with Medically Unexplained Symptoms: the Somatic Symptom Disorder.

Melike Eger Aydogmus

Abstract read
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In one paragraph

Article in The Psychiatric quarterly, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Melike Eger AydogmusDepartment of Psychology, Hacettepe University, 06800 Beytepe, Ankara, Turkey. melike.aydogmus@hacettepe.edu.tr.ORCID 0000-0003-4455-6863
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of previous studies on mental health stigma have focused on medically explained symptoms and the studies on medically unexplained symptoms (MUS) have only assessed the consequences of internalized stigma. A new category in DSM 5, named as somatic symptom disorder (SSD), includes multiple somatic disorders with medically-explained or -unexplained somatic symptoms. This study aimed to test the effects of social stigma on people with SSD with MUS depending on the attribution model. In a class environment, 348 college students from different regions in Turkey were presented with a vignette on a person with SSD with MUS and asked to complete a survey including demographics and attitudes towards that person. Along the same lines with previous findings for other mental disorders, the path analysis using AMOS revealed that stigma-related cognitions (i.e., dependency, dangerousness and responsibility) shaped people's affective (i.e., anger and pity) and behavioral responses (i.e., social distance) to these people. The most important predictor of social distance was pity and the level of contact was not related to social distance. In conclusion, anti-stigma interventions towards SSD with MUS should involve building empathy towards these patients and educating people about this disorder contrary to the recommended interventions for other mental health disorders stressing the importance of contact.

Indexed as

Medically Unexplained SymptomsSocial StigmaAdolescentAdultFemaleHealth Knowledge, Attitudes, PracticeHumansMaleSomatoform DisordersStudentsSurveys and QuestionnairesTurkeyYoung AdultAttribution modelContactEmpathyMedically unexplained symptomsMental health stigmaSomatic symptom disorder

Identifiers

PMID31898214
OpenAlexW2998086433

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.