Behavioral gender differences are reinforced during the COVID-19 crisis.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
28 09 2021
Historique:
received: 28 01 2021
accepted: 20 08 2021
entrez: 29 9 2021
pubmed: 30 9 2021
medline: 13 10 2021
Statut: epublish

Résumé

Behavioral gender differences have been found for a wide range of human activities including the way people communicate, move, provision themselves, or organize leisure activities. Using mobile phone data from 1.2 million devices in Austria (15% of the population) across the first phase of the COVID-19 crisis, we quantify gender-specific patterns of communication intensity, mobility, and circadian rhythms. We show the resilience of behavioral patterns with respect to the shock imposed by a strict nation-wide lock-down that Austria experienced in the beginning of the crisis with severe implications on public and private life. We find drastic differences in gender-specific responses during the different phases of the pandemic. After the lock-down gender differences in mobility and communication patterns increased massively, while circadian rhythms tended to synchronize. In particular, women had fewer but longer phone calls than men during the lock-down. Mobility declined massively for both genders, however, women tended to restrict their movement stronger than men. Women showed a stronger tendency to avoid shopping centers and more men frequented recreational areas. After the lock-down, males returned back to normal quicker than women; young age-cohorts return much quicker. Differences are driven by the young and adolescent population. An age stratification highlights the role of retirement on behavioral differences. We find that the length of a day of men and women is reduced by 1 h. We interpret and discuss these findings as signals for underlying social, biological and psychological gender differences when coping with crisis and taking risks.

Identifiants

pubmed: 34584107
doi: 10.1038/s41598-021-97394-1
pii: 10.1038/s41598-021-97394-1
pmc: PMC8478918
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

19241

Informations de copyright

© 2021. The Author(s).

Références

Sci Data. 2020 Aug 27;7(1):285
pubmed: 32855430
PLoS One. 2016 Oct 21;11(10):e0164541
pubmed: 27768704
Phys Rev E. 2016 Nov;94(5-1):052319
pubmed: 27967040
Sci Rep. 2013;3:1214
pubmed: 23393616
Behav Res Ther. 2000 Jun;38(6):619-28
pubmed: 10846810
N Engl J Med. 2002 Mar 28;346(13):982-7
pubmed: 11919308
J Clin Nurs. 2020 Jul;29(13-14):2047-2049
pubmed: 32281158
Proc Natl Acad Sci U S A. 2011 Sep 13;108 Suppl 3:15602-8
pubmed: 21536890
Int Rev Psychiatry. 2010;22(5):429-36
pubmed: 21047157
Psychol Sci. 2019 Apr;30(4):617-628
pubmed: 30865565
Nature. 2020 May;581(7809):365-366
pubmed: 32433639
Risk Anal. 1998 Dec;18(6):805-11
pubmed: 9972583
Int J Psychol. 2020 Feb;55(1):115-122
pubmed: 30474122
PLoS One. 2015 Sep 21;10(9):e0138098
pubmed: 26390215
Proc Natl Acad Sci U S A. 2007 May 1;104(18):7332-6
pubmed: 17456605
Proc Natl Acad Sci U S A. 2012 Jul 17;109(29):11576-81
pubmed: 22711804
Nature. 2007 Feb 1;445(7127):489
pubmed: 17268455
Front Big Data. 2020 Oct 26;3:32
pubmed: 33693405
PLoS One. 2020 May 14;15(5):e0233410
pubmed: 32407409
PLoS One. 2011 Mar 30;6(3):e17680
pubmed: 21479206
Sci Adv. 2020 Jun 05;6(23):eabc0764
pubmed: 32548274
Sci Rep. 2012;2:370
pubmed: 22518274
Psychol Rev. 2000 Jul;107(3):411-29
pubmed: 10941275
PLoS One. 2014 Nov 19;9(11):e112608
pubmed: 25409009

Auteurs

Tobias Reisch (T)

Section for Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, 1090, Vienna, Austria.
Complexity Science Hub Vienna, 1080, Vienna, Austria.

Georg Heiler (G)

Complexity Science Hub Vienna, 1080, Vienna, Austria.
Institute of Information Systems Engineering, TU Wien, 1040, Vienna, Austria.

Jan Hurt (J)

Complexity Science Hub Vienna, 1080, Vienna, Austria.

Peter Klimek (P)

Section for Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, 1090, Vienna, Austria.
Complexity Science Hub Vienna, 1080, Vienna, Austria.

Allan Hanbury (A)

Complexity Science Hub Vienna, 1080, Vienna, Austria.
Institute of Information Systems Engineering, TU Wien, 1040, Vienna, Austria.

Stefan Thurner (S)

Section for Science of Complex Systems, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, 1090, Vienna, Austria. stefan.thurner@meduniwien.ac.at.
Complexity Science Hub Vienna, 1080, Vienna, Austria. stefan.thurner@meduniwien.ac.at.
Santa Fe Institute, Santa Fe, NM, 85701, USA. stefan.thurner@meduniwien.ac.at.

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