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      Prevalence and the affecting factors on depression, anxiety and stress (DASS) among elders in Qazvin City, in the Northwest of Iran

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          Abstract

          Background

          Depression, anxiety, and stress are among the most common mental health disorders of the elderly that affect the health of individuals and society. Considering the growing trend of the elderly population in Iran, this study aimed to determine the prevalence of these disorders and to identify the factors affecting them in the elderly.

          Methods

          We conducted this cross-sectional study using cluster random sampling on 301 elderly people referred to Qazvin health centers. Data was collected using the Depression, Anxiety, Stress Scale 21 (DASS-21) questionnaire and analyzed through univariate and multivariate linear regression tests with the interaction between variables in STATA Version 14 software. A P-value of less than 0.05 was significant.

          Results

          The prevalence of depression was 45.5%, anxiety 35.5%, and stress 40.2%. Our findings showed that 22.9%, 7.9%, and 14.3% of people had severe and very severe levels of depression, anxiety, and stress. The variables of age, comorbidity, living status and job status had a significant relationship with the DASS score ( p < 0.05). There was an interaction between the variables of comorbidity and income status influencing the DASS score (β = 0.68, 95% CI 0.15, 1.22).

          Conclusion

          The prevalence of depression, anxiety and stress in the elderly was high, indicating the inappropriate status of their mental health. Therefore, it is necessary to take operational steps to reduce some problems in the elderly, prioritize the elderly suffering from concurrent diseases, the unemployed elderly, those who do not have a certain income, and the elderly who live alone.

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          Most cited references38

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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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            Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): a longitudinal mediation analysis

            Research indicates that social isolation and loneliness increase the risk of mental disorders, but less is known about the distinct contributions of different aspects of isolation. We aimed to distinguish the pathways through which social disconnectedness (eg, small social network, infrequent social interaction) and perceptions of social isolation (eg, loneliness, perceived lack of support) contribute to anxiety and depression symptom severity in community-residing older adults aged 57-85 years at baseline.
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              The Gender Difference in Depression: Are Elderly Women at Greater Risk for Depression Than Elderly Men?

              Numerous epidemiological reports have found that adolescent, young adult, and middle-aged adult girls and women are more likely to be diagnosed with unipolar depression and report greater symptoms of depression when compared to boys and men of similar ages. What is less well-known is whether this gender difference persists into late life. This literature review examines whether the well-known gender difference in unipolar depression continues into old age, and, if it does, whether the variables that are known to contribute to the gender difference in unipolar depression from adolescence through adulthood continue to contribute to the gender difference in the elderly, and/or whether there are new variables that arise in old age and contribute to the gender difference in the elderly. In this review of 85 empirical studies from every continent except for Antarctica, we find substantial support for the gender difference in depression in individuals who are 60 and older. More research is necessary to determine which factors are the strongest predictors of the gender difference in depression in late life, and particularly whether the factors that seem to be responsible for the gender difference in depression in earlier life stages continue to predict the gender difference in the elderly, and/or whether new factors come into play in late life. Longitudinal research, meta-analyses, and model-based investigations of predictors of the gender difference in depression are needed to provide insights into how and why the gender difference in depression persists in older age.
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                Author and article information

                Contributors
                zhosseinkhani122@gmail.com
                Journal
                BMC Geriatr
                BMC Geriatr
                BMC Geriatrics
                BioMed Central (London )
                1471-2318
                31 March 2023
                31 March 2023
                2023
                : 23
                : 202
                Affiliations
                [1 ]GRID grid.412606.7, ISNI 0000 0004 0405 433X, Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, ; Qazvin, Iran
                [2 ]GRID grid.412606.7, ISNI 0000 0004 0405 433X, Metabolic Diseases Research Center, , Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, ; Qazvin, Iran
                Author information
                http://orcid.org/0000-0002-2772-6181
                Article
                3908
                10.1186/s12877-023-03908-z
                10064625
                37003975
                5ef108d5-1c09-4e75-ad7b-0bfb850b69ff
                © The Author(s) 2023

                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
                : 7 December 2022
                : 20 March 2023
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Geriatric medicine
                depression,anxiety,stress,dass,elderly,prevalence
                Geriatric medicine
                depression, anxiety, stress, dass, elderly, prevalence

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