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      Validation of the Persian version of the Perinatal Anxiety Screening Scale (PASS) among antenatal and postnatal women

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          Abstract

          Background

          Anxiety disorder is more common in women than men. To some extent, it can be attributed to childbirth and factors related to pregnancy in women. Therefore, it is necessary for mothers to use valid and reliable scale to assess perinatal anxiety, such as the perinatal anxiety screening scale (PASS). The purpose of this study was to investigate the validity and reliability of the PASS in Persian language.

          Methods

          The PASS was translated into Persian (PASS-IR). Generally, 224 women antenatal and 125 postnatal answered the questions of PASS, EPDS-10, BAI and DASS-21 questionnaires. The data was collected in the health centers of Kerman by random sampling method. Finally, content validity, factor analysis, internal consistency and test-retest reliability were evaluated.

          Results

          The mean age of the participants was 32.89 years (range between 18 and 45 and SD = 6.23). More than half of the participating were at risk of severe anxiety (53.5%). Content Validity Index (CVI) and Content Validity Ratio (CVR) were 0.80 and 0.87. PASS-IR subscales include social anxiety and specific fears, general anxiety and adjustment, acute anxiety and trauma, and perfectionism and control. PASS-IR was significantly correlated with EPDS-10 (rho = 0.42), BAI (rho = 0.53), DASS-21 with three concepts of depression, anxiety and stress (rho = 0.51, rho = 0.49 and rho = 0.49), and adverse life events (rho = 0.30).

          Conclusion

          The results of this study show that PASS-IR has good validity and reliability. Therefore, it can be used to screen for anxiety disorder among Iranian women in the perinatal stage.

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          Most cited references57

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          The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories

          The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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            Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale.

            The development of a 10-item self-report scale (EPDS) to screen for Postnatal Depression in the community is described. After extensive pilot interviews a validation study was carried out on 84 mothers using the Research Diagnostic Criteria for depressive illness obtained from Goldberg's Standardised Psychiatric Interview. The EPDS was found to have satisfactory sensitivity and specificity, and was also sensitive to change in the severity of depression over time. The scale can be completed in about 5 minutes and has a simple method of scoring. The use of the EPDS in the secondary prevention of Postnatal Depression is discussed.
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              Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.

              Little is known about the general population prevalence or severity of DSM-IV mental disorders. To estimate 12-month prevalence, severity, and comorbidity of DSM-IV anxiety, mood, impulse control, and substance disorders in the recently completed US National Comorbidity Survey Replication. Nationally representative face-to-face household survey conducted between February 2001 and April 2003 using a fully structured diagnostic interview, the World Health Organization World Mental Health Survey Initiative version of the Composite International Diagnostic Interview. Nine thousand two hundred eighty-two English-speaking respondents 18 years and older. Twelve-month DSM-IV disorders. Twelve-month prevalence estimates were anxiety, 18.1%; mood, 9.5%; impulse control, 8.9%; substance, 3.8%; and any disorder, 26.2%. Of 12-month cases, 22.3% were classified as serious; 37.3%, moderate; and 40.4%, mild. Fifty-five percent carried only a single diagnosis; 22%, 2 diagnoses; and 23%, 3 or more diagnoses. Latent class analysis detected 7 multivariate disorder classes, including 3 highly comorbid classes representing 7% of the population. Although mental disorders are widespread, serious cases are concentrated among a relatively small proportion of cases with high comorbidity.
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                Author and article information

                Contributors
                Smazhari@kmu.ac.ir
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                29 November 2022
                29 November 2022
                2022
                : 22
                : 883
                Affiliations
                [1 ]GRID grid.412105.3, ISNI 0000 0001 2092 9755, Student Research Committee, Kerman University of Medical Sciences, ; Kerman, Iran
                [2 ]GRID grid.412105.3, ISNI 0000 0001 2092 9755, Medical Informatics Research Center, Institute of Futures Studies in Health, , Kerman University of Medical Sciences, ; Kerman, Iran
                [3 ]GRID grid.412105.3, ISNI 0000 0001 2092 9755, Health Information Technology, School of Management and Medical Information, , Kerman University of Medical Sciences, ; Kerman, Iran
                [4 ]GRID grid.412105.3, ISNI 0000 0001 2092 9755, Neuroscience Research Center, Institute of Neuropharmachology, , Kerman University of Medical Sciences, ; Kerman, Iran
                Article
                5217
                10.1186/s12884-022-05217-6
                9706838
                36447132
                bf66f6b4-0fe3-44f7-8457-830f4e63ab4c
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 27 August 2022
                : 14 November 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Obstetrics & Gynecology
                validation,reliability,pregnancy,anxiety,pass,perinatal,antenatal,postnatal,iran
                Obstetrics & Gynecology
                validation, reliability, pregnancy, anxiety, pass, perinatal, antenatal, postnatal, iran

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