Evidence map›Paper›PMID 38360823›Full record

ArticleBMC psychology2024

Early maladaptive schema, attachment style, and parenting style in a clinical population with personality disorder and normal individuals: a discriminant analysis model.

Maryam Emami, Maryam Moghadasin, Haniye Mastour, Afshin Tayebi

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Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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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.

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4 · The record

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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

4 authors.

Maryam EmamiDepartment of Clinical Psychology, Faculty of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran.ORCID http://orcid.org/0000-0002-2465-1903
Maryam MoghadasinDepartment of Clinical Psychology, Faculty of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran. mmoghadasin@yahoo.com.ORCID http://orcid.org/0000-0002-0205-1317
Haniye MastourDepartment of Medical Education, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0003-4893-0998
Afshin TayebiDepartment of Psychology, Faculty of Psychology, Islamic Azad University, Karaj, Iran.ORCID http://orcid.org/0000-0003-3087-1926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionResearchers have shown various variables' role in forming personality disorders (PD). This study aimed to assess the role of early maladaptive schema (EMS), attachment style (AS), and parenting style (PS) in discriminating between personality disorders and normal individuals.

methodsIn this study, 78 personality disorder patients and 360 healthy volunteers aged 18-84 were selected using convenience sampling. They completed the Schema Questionnaire-Short Form (SQ-SF), Revised Adult Attachment Scale (RAAS), and Baumrind's Parenting Styles Questionnaire (PSI). Data were analyzed using discriminant analysis with IBM SPSS 25.

resultsThe results showed higher mean scores in all early maladaptive schema domains, insecure attachment styles, and authoritarian parenting in the personality disorder group than in the normal group. Also, discriminant analyses revealed that the function was statistically significant and could distinguish between the two groups and a compound of essential variables, disconnection, impaired autonomy, and secure attachment, respectively, discriminating two groups. Given that all components were able to distinguish between the two groups.

conclusionTherefore, intervention based on these factors early in life may help reduce the characteristics of personality disorders. Also, considering the role of these factors, treatment protocols can be prepared.

Indexed as

ParentingPersonality DisordersAdultDiscriminant AnalysisHumansResearch DesignSurveys and QuestionnairesAttachment styleEarly maladaptive schemaParenting stylePersonality disorders

Identifiers

PMID38360823
PMCPMC10870430

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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.