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      The Impact of COVID-19 Lockdown on Daily Activities, Cognitions, and Stress in a Lonely and Distressed Population: Temporal Dynamic Network Analysis

      research-article
      , BSc, MSc 1 , 2 , , , MD, PhD 1 , , BSc, MSc, PhD 1 , , Dipl-Psych, PhD 2
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      COVID-19, mental health, outbreak, epidemic, pandemic, psychological response, emotional well-being, ecological momentary assessment, risk, protective factors, lockdown measures, loneliness, mood inertia, stressors, mobile apps, mHealth, digital health, EMA, smartphone apps, network model, cognition, stress, temporal dynamic network, permutation testing, network comparison, network characteristics, multilevel vector autoregressive model, mlVAR

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          Abstract

          Background

          The COVID-19 pandemic and its associated lockdown measures impacted mental health worldwide. However, the temporal dynamics of causal factors that modulate mental health during lockdown are not well understood.

          Objective

          We aimed to understand how a COVID-19 lockdown changes the temporal dynamics of loneliness and other factors affecting mental health. This is the first study that compares network characteristics between lockdown stages to prioritize mental health intervention targets.

          Methods

          We combined ecological momentary assessments with wrist-worn motion tracking to investigate the mechanism and changes in network centrality of symptoms and behaviors before and during lockdown. A total of 258 participants who reported at least mild loneliness and distress were assessed 8 times a day for 7 consecutive days over a 213-day period from August 8, 2020, through March 9, 2021, in Germany, covering a “no-lockdown” and a “lockdown” stage. COVID-19–related worry, information-seeking, perceived restriction, and loneliness were assessed by digital visual analog scales ranging from 0 to 100. Social activity was assessed on a 7-point Likert scale, while physical activity was recorded from wrist-worn actigraphy devices.

          Results

          We built a multilevel vector autoregressive model to estimate dynamic networks. To compare network characteristics between a no-lockdown stage and a lockdown stage, we performed permutation tests. During lockdown, loneliness had the highest impact within the network, as indicated by its centrality index (ie, an index to identify variables that have a strong influence on the other variables). Moreover, during lockdown, the centrality of loneliness significantly increased. Physical activity contributed to a decrease in loneliness amid the lockdown stage.

          Conclusions

          The COVID-19 lockdown increased the central role of loneliness in triggering stress-related behaviors and cognition. Our study indicates that loneliness should be prioritized in mental health interventions during lockdown. Moreover, physical activity can serve as a buffer for loneliness amid social restrictions.

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          Most cited references70

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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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            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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              qgraph: Network Visualizations of Relationships in Psychometric Data

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                March 2022
                17 March 2022
                17 March 2022
                : 24
                : 3
                : e32598
                Affiliations
                [1 ] Department of Psychiatry and Neurosciences Charité–Universitätsmedizin Berlin Campus Charité Mitte Berlin Germany
                [2 ] Clinical Psychology and Psychotherapy Department of Education and Psychology Freie Universität Berlin Berlin Germany
                Author notes
                Corresponding Author: Matthias Haucke matthias.haucke@ 123456fu-berlin.de
                Author information
                https://orcid.org/0000-0002-8761-1124
                https://orcid.org/0000-0001-5405-9065
                https://orcid.org/0000-0002-6948-5734
                https://orcid.org/0000-0003-2325-900X
                Article
                v24i3e32598
                10.2196/32598
                8972118
                35191843
                8abbe0ee-ba44-4844-bbe1-61e703fa6666
                ©Matthias Haucke, Andreas Heinz, Shuyan Liu, Stephan Heinzel. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 17.03.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 3 August 2021
                : 7 November 2021
                : 29 November 2021
                : 12 December 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                covid-19,mental health,outbreak,epidemic,pandemic,psychological response,emotional well-being,ecological momentary assessment,risk,protective factors,lockdown measures,loneliness,mood inertia,stressors,mobile apps,mhealth,digital health,ema,smartphone apps,network model,cognition,stress,temporal dynamic network,permutation testing,network comparison,network characteristics,multilevel vector autoregressive model,mlvar

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