2022
DOI: 10.1080/13683500.2022.2153651
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Travelling, anxiety and the impact of COVID-19: evidence from Italy

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Cited by 5 publications
(3 citation statements)
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“…Previous studies have implied that a higher level of Internet use is associated with a higher likelihood of traveling [ 54 , 55 ]. Furthermore, studies have shown that traveling can reduce anxiety, which is a positive factor for MH [ 56 , 57 ]. Based on this evidence, this study hypothesized that Internet use may affect MH by improving traveling expenses.…”
Section: Resultsmentioning
confidence: 99%
“…Previous studies have implied that a higher level of Internet use is associated with a higher likelihood of traveling [ 54 , 55 ]. Furthermore, studies have shown that traveling can reduce anxiety, which is a positive factor for MH [ 56 , 57 ]. Based on this evidence, this study hypothesized that Internet use may affect MH by improving traveling expenses.…”
Section: Resultsmentioning
confidence: 99%
“…As participants were categorized in two groups (psychological item ‘applies very well or well’ or ‘does not apply very well or well’), binary logistic regression was used for analyses. This approach is appropriate for analysing categorical variables and has been used by previous authors to assess the impact of the COVID-19 pandemic on psychological wellbeing [ 30 , 31 ].…”
Section: Methodsmentioning
confidence: 99%
“…The aim of this study is to examine the association between three key protective psychological factors, hope, coping and mental wellbeing on financial behaviour using cross-sectional survey data from a survey of older Australia. It is noted that studies have used cross-sectional data to examine, for example, the impact of the COVID-19 pandemic on psychological health and [28,29] employment [28][29][30][31]. In this study, we further propose not only to examine potential associations but also to infer causality by examining the effects of psychological factors on financial behaviour after controlling for reverse causality using an instrumental variable approach in a two-stage regression framework [32].…”
Section: Introductionmentioning
confidence: 99%