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      Conspiracy Beliefs Are Related to the Use of Smartphones behind the Wheel

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          Abstract

          The belief in conspiracy theories predicts behaviors related to public health such as the willingness to receive vaccines. This study applies a similar approach to an aspect of road safety: the use of smartphones while driving. A representative sample of 1706 subjects answered a series of questions related to what can be regarded as erroneous or conspiracy beliefs against restricting or banning the use of smartphones while driving. The results show that those having such conspiracy beliefs reported a greater use of smartphones behind the wheel.

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          lavaan: AnRPackage for Structural Equation Modeling

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            Understanding Conspiracy Theories

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              Driver crash risk factors and prevalence evaluation using naturalistic driving data.

              The accurate evaluation of crash causal factors can provide fundamental information for effective transportation policy, vehicle design, and driver education. Naturalistic driving (ND) data collected with multiple onboard video cameras and sensors provide a unique opportunity to evaluate risk factors during the seconds leading up to a crash. This paper uses a National Academy of Sciences-sponsored ND dataset comprising 905 injurious and property damage crash events, the magnitude of which allows the first direct analysis (to our knowledge) of causal factors using crashes only. The results show that crash causation has shifted dramatically in recent years, with driver-related factors (i.e., error, impairment, fatigue, and distraction) present in almost 90% of crashes. The results also definitively show that distraction is detrimental to driver safety, with handheld electronic devices having high use rates and risk.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                21 July 2021
                August 2021
                : 18
                : 15
                : 7725
                Affiliations
                [1 ]Departamento de Metodología de las CC del Comportamiento, Universitat de València, Blasco Ibáñez, 21, CP 46010 Valencia, Spain
                [2 ]Departamento de Psicología Evolutiva y de la Educación, Universitat de València, Blasco Ibáñez, 21, CP 46010 Valencia, Spain; juan.j.zacares@ 123456uv.es (J.J.Z.); mmsanche@ 123456uv.es (M.S.-G.)
                [3 ]Independent Researcher, CP 46010 Valencia, Spain; M.Teresa.Tormo@ 123456uv.es (M.T.T.-L.); mireia.faus@ 123456uv.es (M.F.)
                Author notes
                [* ]Correspondence: valerop@ 123456uv.es
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-4805-8151
                https://orcid.org/0000-0002-0237-9419
                https://orcid.org/0000-0002-8107-7637
                Article
                ijerph-18-07725
                10.3390/ijerph18157725
                8345770
                34360021
                d7e56247-801c-440e-bb6a-4417ec05c9e3
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 20 May 2021
                : 19 July 2021
                Categories
                Article

                Public health
                smartphones,developmental psychology,adulthood,risk behaviour,driving
                Public health
                smartphones, developmental psychology, adulthood, risk behaviour, driving

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