Literature DB >> 30107438

Does the DOSPERT scale predict risk-taking behaviour during travel? A study using smartphones.

Andrea Farnham1,2, Sarah Ziegler1, Ulf Blanke3, Emily Stone1, Christoph Hatz1,2,4,5, Milo A Puhan1.   

Abstract

Background: Despite the continuing growth of international tourism, very little research has been done on the link between individual risk attitudes and health behaviours during travel. Our study uses a validated risk-taking questionnaire Domain-Specific Risk-Taking Scale (DOSPERT) and data from a smartphone application to study the association between pre-travel risk attitudes and the occurrence of behaviours during travel.
Methods: A prospective cohort of travellers to Thailand used a smartphone application to answer a daily questionnaire about health behaviours and events. Prior to travel, participants completed the DOSPERT, a validated 30-item scale that assesses risk-taking and perception in five content domains: financial decisions, health/safety, recreational, ethical and social decisions. Multiple linear regression models were used to model the relationship between DOSPERT risk-taking subdomain score and health behaviour.
Results: Of the 75 travellers that completed the study, 70 (93.3%) completed the DOSPERT pre-travel. Men, backpackers and young travellers reported a higher willingness to take recreational risks than women, luxury travellers and older travellers. Incidence of drug and alcohol risk behaviours during travel, itching from mosquitoes, smoking and failing to use a seatbelt in automobiles while at home were all significantly associated with an individual's score on the health and safety DOSPERT subdomain. Conclusions: In our study, individual scores on risk-taking in the health and safety subdomain of the DOSPERT questionnaire seem to be predictive of health behaviours both during travel and at home. By pairing new methods of data collection with questionnaires such as DOSPERT that identify key traveller characteristics to intervene on, travel medicine doctors will be able to provide more specialised health advice, ensuring that all travellers receive well-rounded advice about the full range of health challenges they will face during travel.

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Mesh:

Year:  2018        PMID: 30107438     DOI: 10.1093/jtm/tay064

Source DB:  PubMed          Journal:  J Travel Med        ISSN: 1195-1982            Impact factor:   8.490


  7 in total

Review 1.  Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine.

Authors:  Shengjie Lai; Andrea Farnham; Nick W Ruktanonchai; Andrew J Tatem
Journal:  J Travel Med       Date:  2019-05-10       Impact factor: 8.490

2.  The Traveller's Risk Perception (TRiP) questionnaire: pre-travel assessment and post-travel changes.

Authors:  S Tardivo; A Zenere; F Moretti; F Marchiori; D Berti; M Migliorini; A Tomasi; S Ferrari; F Tognon; G Napoletano; A Rossanese
Journal:  Int Health       Date:  2020-02-12       Impact factor: 2.473

3.  Predicting morbidity in older travellers during a short-term stay in the tropics: the ELDEST study.

Authors:  Jessica A Vlot; Marissa G D Vive; Henricus J Brockhoff; Pieter J J van Genderen; Marie-Christine E Trompenaars; James E van Steenbergen; Leonardus G Visser
Journal:  J Travel Med       Date:  2021-01-06       Impact factor: 8.490

4.  Stability of Risk Preferences During COVID-19: Evidence From Four Measurements.

Authors:  Peilu Zhang; Marco A Palma
Journal:  Front Psychol       Date:  2022-02-10

5.  Using social media listening and data mining to understand travellers' perspectives on travel disease risks and vaccine-related attitudes and behaviours.

Authors:  Catherine Bravo; Valérie Bosch Castells; Susann Zietek-Gutsch; Pierre-Antoine Bodin; Cliona Molony; Markus Frühwein
Journal:  J Travel Med       Date:  2022-03-21       Impact factor: 8.490

6.  Pointers to Interventions for Promoting COVID-19 Protective Measures in Tourism: A Modelling Approach Using Domain-Specific Risk-Taking Scale, Theory of Planned Behaviour, and Health Belief Model.

Authors:  Timo Ohnmacht; Andreas Philippe Hüsser; Vu Thi Thao
Journal:  Front Psychol       Date:  2022-06-29

7.  The COVID-19 pandemic offers a key moment to reflect on travel medicine practice.

Authors:  Christoph Hatz; Silja Bühler; Andrea Farnham
Journal:  J Travel Med       Date:  2020-12-23       Impact factor: 8.490

  7 in total

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