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      Psychological impact of the Spring 2019 flood among adult population of Iran

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          Abstract

          Background:

          From March to April 2019, a flood occurred in several regions of Iran. The most affected provinces were Golestan, Lorestan, and Khuzestan.

          Aims:

          The present study aimed to determine the prevalence and determinants of psychological distress and depression among the affected adult population 6 months after the event.

          Methods:

          A cross-sectional household survey with face-to-face interview was carried out on a random sample of 1,671 adults aged above 15 years living in the flood-affected areas from August to September 2019. We applied GHQ-28 and PHQ-9 for the assessment of psychological distress and depression, respectively.

          Results:

          The prevalence of psychological distress and depression were 33.6% (95% CI [29.5, 37.7]) and 23.0% (95% CI [19.4, 26.7]), respectively. Determinants of psychological distress were a history of mental disorders (Adjusted odds ratio [AOR] = 4.7), primary (AOR = 2.9) or high school (AOR = 2.4) education (vs. university), no compensation received (AOR = 2.1), high damage to assets (AOR = 1.8), the house flooded more than 1 m (AOR = 1.8), female gender (AOR = 1.8), and limited access to health care services (AOR = 1.8). Determinants of depression were unemployment (AOR = 5.3) or being a housewife (AOR = 2.7), a history of mental disorders (AOR = 4.1), high damage to assets (AOR = 2.5), no compensation received (AOR = 2.0), the house flooded more than 1 m (AOR = 1.8), limited access to health care services (AOR = 1.8), and high wealth index (AOR = 1.7).

          Conclusion:

          The results of this study revealed a high prevalence of psychological distress and depression in the flood-affected adult population. The high-risk group, particularly flood victims who had a history of mental disorders, and those exposed to severe damages of flood, should be prioritized for screening, and mental health services.

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          Most cited references44

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          The PHQ-9

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            Applied Logistic Regression

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              Estimating the true global burden of mental illness.

              We argue that the global burden of mental illness is underestimated and examine the reasons for under-estimation to identify five main causes: overlap between psychiatric and neurological disorders; the grouping of suicide and self-harm as a separate category; conflation of all chronic pain syndromes with musculoskeletal disorders; exclusion of personality disorders from disease burden calculations; and inadequate consideration of the contribution of severe mental illness to mortality from associated causes. Using published data, we estimate the disease burden for mental illness to show that the global burden of mental illness accounts for 32·4% of years lived with disability (YLDs) and 13·0% of disability-adjusted life-years (DALYs), instead of the earlier estimates suggesting 21·2% of YLDs and 7·1% of DALYs. Currently used approaches underestimate the burden of mental illness by more than a third. Our estimates place mental illness a distant first in global burden of disease in terms of YLDs, and level with cardiovascular and circulatory diseases in terms of DALYs. The unacceptable apathy of governments and funders of global health must be overcome to mitigate the human, social, and economic costs of mental illness.
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                Author and article information

                Contributors
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                Journal
                International Journal of Social Psychiatry
                Int J Soc Psychiatry
                SAGE Publications
                0020-7640
                1741-2854
                December 2023
                June 16 2023
                December 2023
                : 69
                : 8
                : 1916-1927
                Affiliations
                [1 ]Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
                [2 ]Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
                [3 ]Department of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
                [4 ]Research Center for Addiction and Risky Behaviors (ReCARB), Psychosocial Health Research Institute (PHRI), Iran University of Medical Sciences, Tehran, Iran
                [5 ]Health Management and Economics Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
                Article
                10.1177/00207640231180824
                37329163
                e7eff325-acaf-491a-94c9-6ca034bcb825
                © 2023

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