2021
DOI: 10.3389/fpubh.2021.655083
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Effects of the COVID-19 Pandemic on Psychological Well-Being and Mental Health Based on a German Online Survey

Abstract: Objective and Background: To contain the COVID-19 pandemic, public health actions have changed the everyday life with an inevitable impact on individuals and their social life. Since intact (socio-)psychological functioning and mental health are protective factors contributing to the immune system and preventing diseases, it is crucial to identify individuals with increased vulnerability.Methods: We conducted a German online survey from April until August 2020 investigating health-related, social, behavioral, … Show more

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Cited by 12 publications
(7 citation statements)
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“…However, confirmatory studies in this regard are still lacking. Finally, several studies investigating psychological well-being during the pandemic were also conducted with an exclusively web-based methodology [10,18,20]. There have been some concerns about the generalizability of findings obtained from online surveys primarily related to selection bias or poor methodological clarity [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…However, confirmatory studies in this regard are still lacking. Finally, several studies investigating psychological well-being during the pandemic were also conducted with an exclusively web-based methodology [10,18,20]. There have been some concerns about the generalizability of findings obtained from online surveys primarily related to selection bias or poor methodological clarity [21][22][23].…”
Section: Introductionmentioning
confidence: 99%
“…First, the online mode of administration might be responsible for selection bias, and the quota sampling lacks known sampling probability. Second, data were collected during the second wave of the COVID-19 pandemic in Hungary that could have an effect on self-reported health, particularly on young adults' mental health [62][63][64][65][66][67]. However, responses on self-perceived health status (SF-36 first question) were roughly identical to those reported in a similar large-scale general population survey in Hungary before the pandemic (2019) [68].…”
Section: Discussionmentioning
confidence: 99%
“…These variables include both categorical and continuous data, and so it was necessary to select a clustering methodology that performs effectively with mixed datasets. Partitioning around medoids 39 (PAM) has previously been used for clustering with mixed categorical and continuous data, for a wide variety of applications, including, for example, identifying the psychological effects of COVID-19 40 , clustering fishing vessels into discrete fleets 41 , grouping Indonesian districts for priority for intervention to address stunting 42 , grouping estuaries by a range of biotic and abiotic factors 43 , grouping similar patients presenting with back pain 44 , and identifying different fishing tactics from catch composition 45 among others 46 48 .…”
Section: Methodsmentioning
confidence: 99%