Evidence map›Paper›PMID 35191843›Full record

ArticleJournal of medical Internet research2022

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

Matthias Haucke, Andreas Heinz, Shuyan Liu, Stephan Heinzel

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  12. Perceived Social Support in Parents of Hospitalized Children During COVID-19.Advances in experimental medicine and biology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Matthias HauckeDepartment of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.ORCID 0000-0002-8761-1124
Andreas HeinzDepartment of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.ORCID 0000-0001-5405-9065
Shuyan Liu *Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.ORCID 0000-0002-6948-5734
Stephan Heinzel *Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.ORCID 0000-0003-2325-900X
Charité - Universitätsmedizin Berlin · DEFreie Universität Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveWe 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.

methodsWe 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.

resultsWe 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.

conclusionsThe 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.

Indexed as

COVID-19CognitionCommunicable Disease ControlHumansLonelinessPandemicsSARS-CoV-2cognitionCOVID-19digital healthecological momentary assessmentEMAemotional well-beingepidemiclockdown measureslonelinessmental healthmHealthmlVARmobile appsmood inertiamultilevel vector autoregressive modelnetwork characteristicsnetwork comparisonnetwork modeloutbreakpandemicpermutation testingprotective factorspsychological responserisksmartphone appsstressstressorstemporal dynamic network

Identifiers

PMID35191843
PMCPMC8972118
OpenAlexW4212886556

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.