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      Developing and validating the Psychosocial Burden among people Seeking Abortion Scale (PB-SAS)

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          Abstract

          While there is a large body of research demonstrating that having an abortion is not associated with adverse mental health outcomes, less research has examined which factors may contribute to elevated levels of mental health symptoms at the time of abortion seeking. This study aims to develop and validate a new tool to measure dimensions of psychosocial burden experienced by people seeking abortion in the United States. To develop scale items, we reviewed the literature including existing measures of stress and anxiety and conducted interviews with experts in abortion care and with patients seeking abortion. Thirty-five items were administered to 784 people seeking abortion at four facilities located in three U.S. states. We used exploratory factor analysis (EFA) to reduce items and identify key domains of psychosocial burden. We assessed the predictive validity of the overall scale and each sub-scale, by assessing their associations with validated measures of perceived stress, anxiety, and depression using multivariable linear regression models. Factor analyses revealed a 12-item factor solution measuring psychosocial burden seeking abortion, with four subdomains: structural challenges, pregnancy decision-making, lack of autonomy, and others’ reactions to the pregnancy. The alpha reliability coefficients were acceptable for the overall scale (α = 0.83) and each subscale (ranging from α = 0.82–0.85). In adjusted analyses, the overall scale was significantly associated with stress, anxiety and depression; each subscale was also significantly associated with each mental health outcome. This new scale offers a practical tool for providers and researchers to empirically document the factors associated with people’s psychological well-being at the time of seeking an abortion. Findings suggest that the same restrictions that claim to protect people from mental health harm may be increasing people’s psychosocial burden and contributing to adverse psychological outcomes at the time of seeking abortion.

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            A brief measure for assessing generalized anxiety disorder: the GAD-7.

            Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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              Statistical Power Analysis for the Behavioral Sciences

              <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 December 2020
                2020
                : 15
                : 12
                : e0242463
                Affiliations
                [1 ] Advancing New Standards in Reproductive Health, Bixby Center for Global Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California, United States of America
                [2 ] Division of Prevention Science, Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
                Institute of Mental Health, SINGAPORE
                Author notes

                Competing Interests: No authors have competing interests.

                [¤]

                Current address: Advancing New Standards in Reproductive Health, University of California San Francisco, Oakland, California, United States of America

                Author information
                https://orcid.org/0000-0002-3904-3177
                https://orcid.org/0000-0002-0436-4245
                Article
                PONE-D-20-25556
                10.1371/journal.pone.0242463
                7728247
                33301480
                ede11279-c657-4859-ba28-7539b9113b29
                © 2020 Biggs et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 14 August 2020
                : 3 November 2020
                Page count
                Figures: 1, Tables: 5, Pages: 17
                Funding
                This research was supported by a Resource Allocation Program (RAP) Award from the UCSF Clinical and Translational Science Institute’s (CTSI’s) Pilot Awards Program and ANSIRH core support. Dr. Ralph is supported by a Eunice Kennedy Shriver National Institute of Child Health and Human Development, Office of Research on Women’s Health, Building Interdisciplinary Research Careers in Women’s Health grant (K12 HD052163). The funders had no role in the study design; data collection, analysis and interpretation; or decision to submit the work for publication.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Termination of Pregnancy
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Medicine and Health Sciences
                Health Care
                Psychological and Psychosocial Issues
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Psychological Stress
                Biology and Life Sciences
                Psychology
                Psychological Stress
                Social Sciences
                Psychology
                Psychological Stress
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Biology and Life Sciences
                Psychology
                Emotions
                Anxiety
                Social Sciences
                Psychology
                Emotions
                Anxiety
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Social Sciences
                Psychology
                Cognitive Psychology
                Decision Making
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognition
                Decision Making
                Custom metadata
                The data underlying this study is publicly available at https://doi.org/10.7272/Q6X63K6C.

                Uncategorized
                Uncategorized

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