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      Negative Impacts of COVID-19 Induced Lockdown on Changes in Eating Behavior, Physical Activity, and Mental Health as Modified by Digital Healthy Diet Literacy and eHealth Literacy

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          Abstract

          Background: The COVID-19-induced lockdown has been implemented in many countries, which may cause unfavorable changes in lifestyles and psychological health. People's health literacy, healthy diet, and lifestyles play important roles in mitigating the negative impacts of the pandemic. Therefore, we aimed to examine associations of COVID-19 lockdown with changes in eating behavior, physical activity, and mental health; and the modification effects by digital healthy diet literacy (DDL) and eHealth literacy (eHEALS) on the associations.

          Methods: We conducted an observational study on 4,348 outpatients from 7th April to 31st May 2020. Data from 11 hospitals in Vietnam included demographic characteristics, DDL, eHEALS, eating behavior, physical activity, and mental health changes. Multiple logistic regression and interaction models were performed to examine associations.

          Results: Patients under lockdown had a lower likelihood of having “unchanged or healthier” eating behavior (odds ratio, OR, 0.38; 95% confidence interval, 95%CI, 0.29 to 0.51; p < 0.001), “unchanged or more” physical activity (OR, 0.79; 95% CI, 0.69 to 0.90; p < 0.001), and “stable or better” mental health (OR, 0.77; 95% CI, 0.67 to 0.89; p < 0.001), as compared to those after lockdown. In interaction models, as compared to patients after lockdown and with the lowest DDL score, those under lockdown and with a one-score increment of DDL had a higher likelihood of having “unchanged or healthier” eating behavior (OR, 1.05; 95% CI, 1.02 to 1.07; p < 0.001), and “stable or better” mental health (OR, 1.02; 95% CI, 1.01 to 1.04; p < 0.001). Similarly, as compared to patients after lockdown and with the lowest eHEALS score, those under lockdown and with a one-score increment of eHEALS had a higher likelihood of having an “unchanged or more” physical activity (OR, 1.03; 95% CI, 1.01 to 1.05; p < 0.001).

          Conclusion: The COVID-19 lockdown measure could negatively affect eating behavior, physical activity, and mental health among outpatients. Better DDL and eHEALS were found to mitigate the negative impacts of the lockdown, which may empower outpatients to maintain healthy lifestyles and protect mental health. However, this study holds several limitations that may undermine the certainty of reported findings.

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          The psychological impact of quarantine and how to reduce it: rapid review of the evidence

          Summary The December, 2019 coronavirus disease outbreak has seen many countries ask people who have potentially come into contact with the infection to isolate themselves at home or in a dedicated quarantine facility. Decisions on how to apply quarantine should be based on the best available evidence. We did a Review of the psychological impact of quarantine using three electronic databases. Of 3166 papers found, 24 are included in this Review. Most reviewed studies reported negative psychological effects including post-traumatic stress symptoms, confusion, and anger. Stressors included longer quarantine duration, infection fears, frustration, boredom, inadequate supplies, inadequate information, financial loss, and stigma. Some researchers have suggested long-lasting effects. In situations where quarantine is deemed necessary, officials should quarantine individuals for no longer than required, provide clear rationale for quarantine and information about protocols, and ensure sufficient supplies are provided. Appeals to altruism by reminding the public about the benefits of quarantine to wider society can be favourable.
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            The Fear of COVID-19 Scale: Development and Initial Validation

            Background The emergence of the COVID-19 and its consequences has led to fears, worries, and anxiety among individuals worldwide. The present study developed the Fear of COVID-19 Scale (FCV-19S) to complement the clinical efforts in preventing the spread and treating of COVID-19 cases. Methods The sample comprised 717 Iranian participants. The items of the FCV-19S were constructed based on extensive review of existing scales on fears, expert evaluations, and participant interviews. Several psychometric tests were conducted to ascertain its reliability and validity properties. Results After panel review and corrected item-total correlation testing, seven items with acceptable corrected item-total correlation (0.47 to 0.56) were retained and further confirmed by significant and strong factor loadings (0.66 to 0.74). Also, other properties evaluated using both classical test theory and Rasch model were satisfactory on the seven-item scale. More specifically, reliability values such as internal consistency (α = .82) and test–retest reliability (ICC = .72) were acceptable. Concurrent validity was supported by the Hospital Anxiety and Depression Scale (with depression, r = 0.425 and anxiety, r = 0.511) and the Perceived Vulnerability to Disease Scale (with perceived infectability, r = 0.483 and germ aversion, r = 0.459). Conclusion The Fear of COVID-19 Scale, a seven-item scale, has robust psychometric properties. It is reliable and valid in assessing fear of COVID-19 among the general population and will also be useful in allaying COVID-19 fears among individuals.
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              Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries.

              With advances in the effectiveness of treatment and disease management, the contribution of chronic comorbid diseases (comorbidities) found within the Charlson comorbidity index to mortality is likely to have changed since development of the index in 1984. The authors reevaluated the Charlson index and reassigned weights to each condition by identifying and following patients to observe mortality within 1 year after hospital discharge. They applied the updated index and weights to hospital discharge data from 6 countries and tested for their ability to predict in-hospital mortality. Compared with the original Charlson weights, weights generated from the Calgary, Alberta, Canada, data (2004) were 0 for 5 comorbidities, decreased for 3 comorbidities, increased for 4 comorbidities, and did not change for 5 comorbidities. The C statistics for discriminating in-hospital mortality between the new score generated from the 12 comorbidities and the Charlson score were 0.825 (new) and 0.808 (old), respectively, in Australian data (2008), 0.828 and 0.825 in Canadian data (2008), 0.878 and 0.882 in French data (2004), 0.727 and 0.723 in Japanese data (2008), 0.831 and 0.836 in New Zealand data (2008), and 0.869 and 0.876 in Swiss data (2008). The updated index of 12 comorbidities showed good-to-excellent discrimination in predicting in-hospital mortality in data from 6 countries and may be more appropriate for use with more recent administrative data. © The Author 2011. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Nutr
                Front Nutr
                Front. Nutr.
                Frontiers in Nutrition
                Frontiers Media S.A.
                2296-861X
                12 November 2021
                2021
                12 November 2021
                : 8
                : 774328
                Affiliations
                [1] 1Faculty of Public Health, Hai Phong University of Medicine and Pharmacy , Haiphong, Vietnam
                [2] 2International Ph.D. Program in Medicine, College of Medicine, Taipei Medical University , Taipei, Taiwan
                [3] 3School of Public Health, College of Public Health, Taipei Medical University , Taipei, Taiwan
                [4] 4Department of Pharmacognosy-Traditional Pharmacy-Pharmaceutical Botanic, Can Tho University of Medicine and Pharmacy , Can Tho, Vietnam
                [5] 5Ph.D. Program in Clinical Drug Development of Herbal Medicine, College of Pharmacy, Taipei Medical University , Taipei, Taiwan
                [6] 6Department of Orthopedics, Can Tho University of Medicine and Pharmacy , Can Tho, Vietnam
                [7] 7Director Office, Can Tho University of Medicine and Pharmacy Hospital , Can Tho, Vietnam
                [8] 8Director Office, Military Hospital 103 , Hanoi, Vietnam
                [9] 9Department of Cardiology, Cardiovascular Center, Military Hospital 103 , Hanoi, Vietnam
                [10] 10Department of Infectious Diseases, Vietnam Military Medical University , Hanoi, Vietnam
                [11] 11Division of Military Science, Military Hospital 103 , Hanoi, Vietnam
                [12] 12Director Office, Bac Ninh Obstetrics and Pediatrics Hospital , Bac Ninh, Vietnam
                [13] 13Director Office, E Hospital , Hanoi, Vietnam
                [14] 14Department of Thoracic and Cardiovascular Surgery, E Hospital , Hanoi, Vietnam
                [15] 15Director Office, General Hospital of Agricultural , Hanoi, Vietnam
                [16] 16Department of Pulmonary & Cardiovascular Diseases, Hai Phong University of Medicine and Pharmacy Hospital , Hai Phong, Vietnam
                [17] 17Director Office, Hai Phong University of Medicine and Pharmacy Hospital , Hai Phong, Vietnam
                [18] 18Director Office, Kien An Hospital , Hai Phong, Vietnam
                [19] 19Training and Direction of Healthcare Activity Center, Kien An Hospital , Hai Phong, Vietnam
                [20] 20Director Office, Bai Chay Hospital , Quang Ninh, Vietnam
                [21] 21Director Office, Quang Ninh Obstetrics and Pediatrics Hospital , Quang Ninh, Vietnam
                [22] 22Director Office, Quang Ninh General Hospital , Quang Ninh, Vietnam
                [23] 23Faculty of Medical Laboratory Science, Da Nang University of Medical Technology and Pharmacy , Da Nang, Vietnam
                [24] 24President Office, Da Nang University of Medical Technology and Pharmacy , Da Nang, Vietnam
                [25] 25Department of Physiotherapy and Rehabilitation, Da Nang University of Medical Technology and Pharmacy , Da Nang, Vietnam
                [26] 26Health Management Training Institute, University of Medicine and Pharmacy, Hue University , Hue, Vietnam
                [27] 27Department of Health Promotion, Faculty of Social and Behavioral Sciences, Hanoi University of Public Health , Hanoi, Vietnam
                [28] 28Faculty of Nursing, Hanoi University of Business and Technology , Hanoi, Vietnam
                [29] 29Nursing Office, Thien An Obstetrics and Gynecology Hospital , Hanoi, Vietnam
                [30] 30President Office, Hai Phong University of Medicine and Pharmacy , Hai Phong, Vietnam
                [31] 31Department of Public Health, College of Medicine, Taipei Medical University , Taipei, Taiwan
                [32] 32School of Nutrition and Health Sciences, Taipei Medical University , Taipei, Taiwan
                Author notes

                Edited by: Igor Pravst, Institute of Nutrition, Slovenia

                Reviewed by: Silvio Ionta, University of Lausanne, Switzerland; Christiana A. Demetriou, University of Nicosia, Cyprus; Michał Seweryn Karbownik, Medical University of Lodz, Poland; Josjan Zijlmans, VU University Medical Center, Netherlands

                *Correspondence: Tuyen Van Duong duongtuyenvna@ 123456gmail.com

                This article was submitted to Eating Behavior, a section of the journal Frontiers in Nutrition

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fnut.2021.774328
                8633895
                34869540
                311dfa88-2f64-4114-9fcd-4f14b158efaa
                Copyright © 2021 Nguyen, Nguyen, Pham, Le, Nguyen, Luong, Do, Dao, Nguyen, Ha, Pham, Nguyen, Nguyen, Do, Nguyen, Trinh, Le, Tra, Nguyen, Nguyen, Phan, Pham, Bai and Duong.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 September 2021
                : 22 October 2021
                Page count
                Figures: 4, Tables: 3, Equations: 0, References: 69, Pages: 15, Words: 10291
                Categories
                Nutrition
                Original Research

                lockdown,mental health,digital healthy diet literacy,ehealth literacy,eating behavior,outpatient,physical activity

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