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      Mental health in the era of COVID-19: prevalence of psychiatric disorders in a cohort of patients with type 1 and type 2 diabetes during the social distancing

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          Abstract

          Background

          In patients with diabetes, the prevalence of depression and anxiety symptoms is about two to four times greater than in the general population. The association between diabetes and mental health disorders could be exacerbated in a stressful environment, and psychological distress could increase depressive symptoms and cause adverse diabetes outcomes.

          Objectives

          To assess the prevalence of mental health disorders in patients with diabetes during the social distancing period due to COVID-19 pandemic.

          Methods

          This is a cross-sectional study developed to assess the impact of social distancing on a cohort of adults with type 1 (n = 52) and type 2 diabetes (n = 68) in Brazil. Inclusion criteria involved having an HbA1c test collected in the past 3 months and having a valid telephone number in electronic medical records. The primary outcome was the prevalence of minor psychiatric disorders, assessed by survey (SRQ-20). Secondary outcomes included the prevalence of diabetes related emotional distress, eating and sleeping disorders, all assessed by validated surveys at the moment of the study. Statistical analyses included unpaired t-test for continuous variables and χ 2 test for categorical variables.

          Results

          Overall (n = 120), participants had a mean age of 54.8 ± 14.4 years-old, and HbA1c of 9.0 ± 1.6% (75 ± 17.5 mmol/mol); 93% of patients showed signs of current mental suffering based on the surveys measured. Almost 43% of patients showed evidence of significant psychological distress, with a significant greater tendency in patients with type 2 diabetes. The presence of diabetes related emotional distress was found in 29.2% of patients; eating disorders in 75.8%; and moderate/severe sleeping disorders in 77.5%.

          Conclusions

          We found a high prevalence of evidence of psychological distress among patients with diabetes during the COVID-19 pandemic and this highlights the need for mental health access and support for patients with type 1 and type 2 diabetes.

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          Most cited references33

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia

            Abstract Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic characteristics of NCIP. Methods We collected information on demographic characteristics, exposure history, and illness timelines of laboratory-confirmed cases of NCIP that had been reported by January 22, 2020. We described characteristics of the cases and estimated the key epidemiologic time-delay distributions. In the early period of exponential growth, we estimated the epidemic doubling time and the basic reproductive number. Results Among the first 425 patients with confirmed NCIP, the median age was 59 years and 56% were male. The majority of cases (55%) with onset before January 1, 2020, were linked to the Huanan Seafood Wholesale Market, as compared with 8.6% of the subsequent cases. The mean incubation period was 5.2 days (95% confidence interval [CI], 4.1 to 7.0), with the 95th percentile of the distribution at 12.5 days. In its early stages, the epidemic doubled in size every 7.4 days. With a mean serial interval of 7.5 days (95% CI, 5.3 to 19), the basic reproductive number was estimated to be 2.2 (95% CI, 1.4 to 3.9). Conclusions On the basis of this information, there is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019. Considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Measures to prevent or reduce transmission should be implemented in populations at risk. (Funded by the Ministry of Science and Technology of China and others.)
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              A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations

              The Coronavirus Disease 2019 (COVID-19) epidemic emerged in Wuhan, China, spread nationwide and then onto half a dozen other countries between December 2019 and early 2020. The implementation of unprecedented strict quarantine measures in China has kept a large number of people in isolation and affected many aspects of people’s lives. It has also triggered a wide variety of psychological problems, such as panic disorder, anxiety and depression. This study is the first nationwide large-scale survey of psychological distress in the general population of China during the COVID-19 epidemic.
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                Author and article information

                Contributors
                janinealessi@gmail.com
                Journal
                Diabetol Metab Syndr
                Diabetol Metab Syndr
                Diabetology & Metabolic Syndrome
                BioMed Central (London )
                1758-5996
                31 August 2020
                31 August 2020
                2020
                : 12
                : 76
                Affiliations
                [1 ]GRID grid.8532.c, ISNI 0000 0001 2200 7498, Post-Graduate Program in Medical Science: Endocrinology, , Universidade Federal do Rio Grande do Sul, ; Porto Alegre, Brazil
                [2 ]GRID grid.411379.9, ISNI 0000 0001 2198 7041, Internal Medicine Department, , Hospital São Lucas-Pontifícia Universidade Católica do Rio Grande do Sul, ; Porto Alegre, Brazil
                [3 ]GRID grid.412519.a, ISNI 0000 0001 2166 9094, School of Medicine, , Pontifícia Universidade Católica do Rio Grande do Sul, ; Porto Alegre, Brazil
                [4 ]GRID grid.412519.a, ISNI 0000 0001 2166 9094, Post-Graduate Program in Medicine and Health Sciences, , Pontifícia Universidade Católica do Rio Grande do Sul, ; Porto Alegre, Brazil
                [5 ]GRID grid.8532.c, ISNI 0000 0001 2200 7498, School of Medicine, , Universidade Federal do Rio Grande do Sul, ; Porto Alegre, Brazil
                [6 ]GRID grid.414449.8, ISNI 0000 0001 0125 3761, Endocrinology division, , Hospital de Clínicas de Porto Alegre, ; Porto Alegre, Brazil
                [7 ]National Institute of Science and Technology for Health Technology Assessment (IATS)–CNPq, Porto Alegre, Brazil
                [8 ]GRID grid.414449.8, ISNI 0000 0001 0125 3761, Hospital de Clínicas de Porto Alegre, , HCPA, ; Porto Alegre, Rio Grande do Sul, Brazil
                [9 ]GRID grid.411379.9, ISNI 0000 0001 2198 7041, Hospital São Lucas da PUCRS, ; Porto Alegre, Rio Grande do Sul Brazil
                Article
                584
                10.1186/s13098-020-00584-6
                7457442
                31921358
                3adb4d26-9d39-4cd9-868e-24c1fb583d6b
                © The Author(s) 2020

                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
                : 9 July 2020
                : 18 August 2020
                Funding
                Funded by: FIPE
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Nutrition & Dietetics
                diabetes mellitus,mental health,covid-19 pandemic,social distancing,quarantine

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