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      The mediating effect of family health on the relationship between health literacy and mental health: A national cross-sectional survey in China.

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          Abstract

          Mental health problems significantly affect people's well-being and result in a huge health burden. Health literacy and family health are critical to reducing people's mental health problems. However, limited studies have addressed their complex interaction. Thus, this study aims to elucidate the mediating effect of family health on the relationship between health literacy and mental health.

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          Most cited references60

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          COVID-19 pandemic and mental health consequences: systematic review of the current evidence

          Highlights • COVID-19 patients displayed high levels of PTSS and increased levels of depression. • Patients with preexisting psychiatric disorders reported worsening of psychiatric symptoms. • Higher levels of psychiatric symptoms were found among health care workers. • A decrease in psychological well-being was observed in the general public. • However, well conducted large-scale studies are highly needed.
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            Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic

            (2021)
            Background Before 2020, mental disorders were leading causes of the global health-related burden, with depressive and anxiety disorders being leading contributors to this burden. The emergence of the COVID-19 pandemic has created an environment where many determinants of poor mental health are exacerbated. The need for up-to-date information on the mental health impacts of COVID-19 in a way that informs health system responses is imperative. In this study, we aimed to quantify the impact of the COVID-19 pandemic on the prevalence and burden of major depressive disorder and anxiety disorders globally in 2020. Methods We conducted a systematic review of data reporting the prevalence of major depressive disorder and anxiety disorders during the COVID-19 pandemic and published between Jan 1, 2020, and Jan 29, 2021. We searched PubMed, Google Scholar, preprint servers, grey literature sources, and consulted experts. Eligible studies reported prevalence of depressive or anxiety disorders that were representative of the general population during the COVID-19 pandemic and had a pre-pandemic baseline. We used the assembled data in a meta-regression to estimate change in the prevalence of major depressive disorder and anxiety disorders between pre-pandemic and mid-pandemic (using periods as defined by each study) via COVID-19 impact indicators (human mobility, daily SARS-CoV-2 infection rate, and daily excess mortality rate). We then used this model to estimate the change from pre-pandemic prevalence (estimated using Disease Modelling Meta-Regression version 2.1 [known as DisMod-MR 2.1]) by age, sex, and location. We used final prevalence estimates and disability weights to estimate years lived with disability and disability-adjusted life-years (DALYs) for major depressive disorder and anxiety disorders. Findings We identified 5683 unique data sources, of which 48 met inclusion criteria (46 studies met criteria for major depressive disorder and 27 for anxiety disorders). Two COVID-19 impact indicators, specifically daily SARS-CoV-2 infection rates and reductions in human mobility, were associated with increased prevalence of major depressive disorder (regression coefficient [ B ] 0·9 [95% uncertainty interval 0·1 to 1·8; p=0·029] for human mobility, 18·1 [7·9 to 28·3; p=0·0005] for daily SARS-CoV-2 infection) and anxiety disorders (0·9 [0·1 to 1·7; p=0·022] and 13·8 [10·7 to 17·0; p<0·0001]. Females were affected more by the pandemic than males ( B 0·1 [0·1 to 0·2; p=0·0001] for major depressive disorder, 0·1 [0·1 to 0·2; p=0·0001] for anxiety disorders) and younger age groups were more affected than older age groups (−0·007 [–0·009 to −0·006; p=0·0001] for major depressive disorder, −0·003 [–0·005 to −0·002; p=0·0001] for anxiety disorders). We estimated that the locations hit hardest by the pandemic in 2020, as measured with decreased human mobility and daily SARS-CoV-2 infection rate, had the greatest increases in prevalence of major depressive disorder and anxiety disorders. We estimated an additional 53·2 million (44·8 to 62·9) cases of major depressive disorder globally (an increase of 27·6% [25·1 to 30·3]) due to the COVID-19 pandemic, such that the total prevalence was 3152·9 cases (2722·5 to 3654·5) per 100 000 population. We also estimated an additional 76·2 million (64·3 to 90·6) cases of anxiety disorders globally (an increase of 25·6% [23·2 to 28·0]), such that the total prevalence was 4802·4 cases (4108·2 to 5588·6) per 100 000 population. Altogether, major depressive disorder caused 49·4 million (33·6 to 68·7) DALYs and anxiety disorders caused 44·5 million (30·2 to 62·5) DALYs globally in 2020. Interpretation This pandemic has created an increased urgency to strengthen mental health systems in most countries. Mitigation strategies could incorporate ways to promote mental wellbeing and target determinants of poor mental health and interventions to treat those with a mental disorder. Taking no action to address the burden of major depressive disorder and anxiety disorders should not be an option. Funding Queensland Health, National Health and Medical Research Council, and the Bill and Melinda Gates Foundation.
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              The Lancet Commission on global mental health and sustainable development

              The Lancet, 392(10157), 1553-1598
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                Author and article information

                Journal
                Int J Soc Psychiatry
                The International journal of social psychiatry
                SAGE Publications
                1741-2854
                0020-7640
                Sep 2023
                : 69
                : 6
                Affiliations
                [1 ] School of Management, Hubei University of Chinese Medicine, Wuhan, China.
                [2 ] School of Public Health, Peking University, Beijing, China.
                [3 ] School of Public Health, Southern Medical University, GuangZhou, China.
                [4 ] School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
                Article
                10.1177/00207640231166628
                37095729
                d329d02f-c133-415c-9dda-aa3ed946c675
                History

                cross-sectional,China,Mental health,family health,health literacy,structural equation model

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