Changes in daily loneliness for German residents during the first four weeks of the COVID-19 pandemic

被引:68
作者
Buecker, Susanne [1 ]
Horstmann, Kai T. [2 ]
Krasko, Julia [1 ]
Kritzler, Sarah [1 ]
Terwiel, Sophia [1 ]
Kaiser, Till [1 ]
Luhmann, Maike [1 ]
机构
[1] Ruhr Univ Bochum, Dept Psychol, Bochum, Germany
[2] Humboldt Univ, Dept Psychol, Berlin, Germany
关键词
Loneliness; Isolation; COVID-19; Daily diary; Distancing policies; RISK-FACTORS; ADULTHOOD; AGE;
D O I
10.1016/j.socscimed.2020.113541
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Rationale: The coronavirus disease 2019 (COVID-19) outbreak has dramatically altered people's social lives due to social restriction measures taken to control the coronavirus spread. Early on, increased loneliness has been publicly discussed as a harmful psychological side effect of these measures. Due to the serious adverse health consequences of loneliness, it is essential to take these concerns seriously and investigate them systematically to allow for evidence-based decision making. Thus far, however, high-resolution empirical evidence of such harmful side effects is rare. Methods: The present preregistered large-scale daily diary study assessed daily loneliness in 4,844 German adults between March 16 and April 12, 2020. Results and conclusion: Daily loneliness slightly increased during the first two weeks since implementing the pandemic-related measures and slightly decreased thereafter. With increasing age, daily loneliness increased more strongly over the four weeks. Moreover, daily loneliness increased more strongly for parents compared to people without children. Thus, despite some increases in loneliness in some individuals, there was no linear increase in loneliness in response to the first pandemic-related measures in the present sample.
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页数:5
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共 28 条
  • [1] formr: A study framework allowing for automated feedback generation and complex longitudinal experience-sampling studies using R
    Arslan, Ruben C.
    Walther, Matthias P.
    Tata, Cyril S.
    [J]. BEHAVIOR RESEARCH METHODS, 2020, 52 (01) : 376 - 387
  • [2] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [3] Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
    Dehning, Jonas
    Zierenberg, Johannes
    Spitzner, F. Paul
    Wibral, Michael
    Pinheiro Neto, Joao
    Wilczek, Michael
    Priesemann, Viola
    [J]. SCIENCE, 2020, 369 (6500) : 160 - +
  • [4] Elmer T., 2020, Students under lockdown: Assessing change in students' social networks and mental health during the COVID-19 crisis
  • [5] Selective narrowing of social networks across adulthood is associated with improved emotional experience in daily life
    English, Tammy
    Carstensen, Laura L.
    [J]. INTERNATIONAL JOURNAL OF BEHAVIORAL DEVELOPMENT, 2014, 38 (02) : 195 - 202
  • [6] Entringer T, 2020, SOEP papers on Multidisciplinary Panel Data Research, V1087
  • [7] Fancourt D., 2020, COVID-19 Social Study
  • [8] Does data splitting improve prediction?
    Faraway, Julian J.
    [J]. STATISTICS AND COMPUTING, 2016, 26 (1-2) : 49 - 60
  • [9] Finley D., 2020, BUSINESS INSIDER
  • [10] Folk Dunigan, 2020, Have Introverts or Extraverts Declined in Social Connection During the First Wave of COVID- 19? PsyArXiv