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Record W3021513802 · doi:10.1101/2020.05.05.20091066

Social participation and life satisfaction of peoples during the COVID-19 home confinement: the ECLB-COVID19 multicenter study

2020· preprint· en· W3021513802 on OpenAlexaff
Achraf Ammar, Hamdi Chtourou, Omar Boukhris, Khaled Trabelsi, Liwa Masmoudi, Michael Brach, Bassem Bouaziz, Ellen Bentlage, Daniella How, Mona Ahmed, Patrick J. Mueller, Notger Mueller, Asma Aloui, Omar Hammouda, Laisa Liane Paineiras-Domingos, Annemarie Braakman‐Jansen, Christian Wrede, Sophia Bastoni, Carlos Soares Pernambuco, Leonardo José Mataruna-Dos-Santos, Morteza Taheri, Khadijeh Irandoust, Aïmen Khacharem, Nicola Luigi Bragazzi, Karim Chamari, Stephen J. Bailey, Nicholas T. Bott, Faı̈ez Gargouri, Lotfi Chaâri, Hadj Batatia, Gamal Mohamed Ali, Osama Abdelkarim, Mohamed Jarraya, Kaïs El Abed, Nizar Souissi, Bryan L. Riemann, Laurel Riemann, Wassim Moalla, Jonathan Gómez‐Raja, Monique Epstein, Robbert Sanderman, Sebastian Viktor Waldemar Schulz, Achim Jerg, Ramzi Al-Horani, Taiysir Mansi, Mohamed Jmail, Fernando Barbosa, Fernando Ribeiro dos Santos, Boštjan Šimunič, Rado Pišot, Donald Cowan, Andrea Gaggioli, Jordan M. Glenn, Jürgen M. Steinacker, Tarak Driss, Anita Höekelmann

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychosocialSocial distanceCoronavirus disease 2019 (COVID-19)GermanSocial isolationPsychologyPandemicInterpersonal tiesLife satisfactionPublic healthMedicinePolitical scienceGeographyDemographic economicsEconomic growthSocial psychologyPsychiatryNursingEconomics

Abstract

fetched live from OpenAlex

Abstract Background Public health recommendations and governmental measures during the COVID-19 pandemic have enforced numerous restrictions on daily living including social distancing, isolation and home confinement. While these measures are imperative to mitigate spreading of COVID-19, the impact of these restrictions on psychosocial health is undefined. Therefore, an international online survey was launched in April 2020 in seven languages to elucidate the behavioral and lifestyle consequences of COVID-19 restrictions. This report presents the preliminary results from the first thousand responders on social participation and life satisfaction. Methods Thirty-five research organisations from Europe, North-Africa, Western Asia and the Americas promoted the survey through their networks to the general society, in English, German, French, Arabic, Spanish, Portuguese, and Slovenian languages. Questions were presented in a differential format with questions related to responses “before” and “during” confinement conditions. Results 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%) were included in the analysis. Preliminary findings revealed psychosocial strain during the enforced COVID-19 home confinement. In particular, large decreases in the amount of social activity through family (58%), friends/neighbors (44.9%) or entertainment (46.7%) were triggered by the enforced confinement. These negative effects on social participation were also associated with lower satisfaction (−30.5%) during the confinement period. Conversely, social contact score through digital technologies has significantly increased (p<0.001) during the confinement period with more individuals (24.8%) being socially connected through digital technology. Conclusion These preliminary findings elucidate the risk of psychosocial strain during the current home confinement period. Therefore, in order to mitigate the negative psychosocial effects of home confinement, implementation of national strategies focused on promoting social inclusion through technology-based solution is urgently needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.125
GPT teacher head0.434
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2020
Admission routes1
Has abstractyes

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