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      Prevalence and risk factors for depressive and anxiety symptoms in middle-aged Chinese women: a community-based cross-sectional study

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          Abstract

          Background

          Depression and anxiety have become main public health concerns globally. However, risk factors for depression and anxiety remain unclear. This study was to examine the prevalence and risk factors of depressive and anxiety symptoms in middle-aged Chinese women.

          Methods

          This cross-sectional study, conducted in 2018, included 7,727 women aged 40–60 years from the eastern, central and western regions of China. Depressive and anxiety symptoms were determined by the Patient Health Questionnaire-9 and the Generalized Anxiety Disorders-7, respectively. Logistic regression models were used to estimate odds ratios (ORs) for depressive and anxiety symptoms in relation to sociodemographic, lifestyle and menopausal factors.

          Results

          Among all participants, 19.5% (1 422/7 275) and 14.2% (1 035/7 275) of participants experienced depressive and anxiety symptoms, respectively. The multivariable logistic regression models showed that age, household income, regular physical activity, chronic diseases, menopausal status, vasomotor symptoms, somatic symptoms and urogenital symptoms were associated with depressive symptoms, while place of residence, regular physical activity, chronic diseases, vasomotor, somatic and urogenital symptoms were associated with anxiety symptoms.

          Conclusion

          Depressive and anxiety symptoms were common among middle-aged Chinese women, and certain sociodemographic, lifestyle and menopausal symptoms have an important impact on the risk of depressive and anxiety symptoms.

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          Most cited references54

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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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            Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population.

            The 7-item Generalized Anxiety Disorder Scale (GAD-7) is a practical self-report anxiety questionnaire that proved valid in primary care. However, the GAD-7 was not yet validated in the general population and thus far, normative data are not available. To investigate reliability, construct validity, and factorial validity of the GAD-7 in the general population and to generate normative data. Nationally representative face-to-face household survey conducted in Germany between May 5 and June 8, 2006. Five thousand thirty subjects (53.6% female) with a mean age (SD) of 48.4 (18.0) years. The survey questionnaire included the GAD-7, the 2-item depression module from the Patient Health Questionnaire (PHQ-2), the Rosenberg Self-Esteem Scale, and demographic characteristics. Confirmatory factor analyses substantiated the 1-dimensional structure of the GAD-7 and its factorial invariance for gender and age. Internal consistency was identical across all subgroups (alpha = 0.89). Intercorrelations with the PHQ-2 and the Rosenberg Self-Esteem Scale were r = 0.64 (P < 0.001) and r = -0.43 (P < 0.001), respectively. As expected, women had significantly higher mean (SD) GAD-7 anxiety scores compared with men [3.2 (3.5) vs. 2.7 (3.2); P < 0.001]. Normative data for the GAD-7 were generated for both genders and different age levels. Approximately 5% of subjects had GAD-7 scores of 10 or greater, and 1% had GAD-7 scores of 15 or greater. Evidence supports reliability and validity of the GAD-7 as a measure of anxiety in the general population. The normative data provided in this study can be used to compare a subject's GAD-7 score with those determined from a general population reference group.
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              Depression

              Major depression is a common illness that severely limits psychosocial functioning and diminishes quality of life. In 2008, WHO ranked major depression as the third cause of burden of disease worldwide and projected that the disease will rank first by 2030.1 In practice, its detection, diagnosis, and management often pose challenges for clinicians because of its various presentations, unpredictable course and prognosis, and variable response to treatment.
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                Author and article information

                Contributors
                zhangxiaosong@bjmu.edu.cn
                Journal
                BMC Womens Health
                BMC Womens Health
                BMC Women's Health
                BioMed Central (London )
                1472-6874
                29 July 2022
                29 July 2022
                2022
                : 22
                : 319
                Affiliations
                [1 ]GRID grid.411472.5, ISNI 0000 0004 1764 1621, Department of Obstetrics and Gynecology, , Peking University First Hospital, ; No. 1 Xianmen Street, Xicheng District, Beijing, 100034 China
                [2 ]GRID grid.198530.6, ISNI 0000 0000 8803 2373, Chinese Center for Disease Control and Prevention, , National Centre for Women and Children’s Health, ; Beijing, China
                [3 ]GRID grid.198530.6, ISNI 0000 0000 8803 2373, National Center for Chronic and Non-Communicable Disease Control and Prevention, , Chinese Center for Disease Control and Prevention, ; Beijing, China
                Article
                1908
                10.1186/s12905-022-01908-6
                9338469
                35906641
                497318fd-7a9b-4c5d-9e99-04e7f024007d
                © 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
                : 6 January 2022
                : 25 July 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Obstetrics & Gynecology
                depressive symptoms,anxiety symptoms,menopause,perimenopause,postmenopause,risk factors

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