Dataset Information

Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey.

ABSTRACT:

Background

Automated Driving Systems (ADS) may reshape mobility. Yet, related fear and anxiety are largely unknown. We estimated the prevalence and risk factors of anticipated anxiety towards ADS.

Method

In a nationally representative face-to-face household survey, we assessed anticipated levels of anxiety towards ADS based on DSM-5 specific phobia criteria, using structured diagnostic interviews. We estimated weighted prevalences and conducted adjusted logistic regression models.

Results

Of N = 2076 respondents, 40.82% (95%-confidence interval (CI) 37.73-43.98) anticipated experiencing some symptoms of phobia of ADS, 15.22% (CI 13.19-17.51) anticipated subthreshold phobia, and 3.39% (CI 2.42-4.75) anticipated full-blown phobia of ADS. Of subjects anticipating subthreshold phobia, 74.02% showed no strong, enduring fears of driving non-automated cars and 65.07% presented no other specific phobias (full-blown anticipated phobia: 50.37% and 50.03%, respectively). Anticipated phobia highly overlapped with anticipating marked or strong fears of passively encountering ADS in traffic (odds ratio 312.4-1982.2).

Conclusion

About 20% of subjects anticipated at least subthreshold and 4% of subjects anticipated full-blown phobia of ADS. It appears to be distinct from fears related to non-automated driving and other specific phobias. Our findings call for prevention and treatment of phobia of ADS as they become increasingly ubiquitous.

SUBMITTER: Meinlschmidt G

PROVIDER: S-EPMC10018559 | biostudies-literature | 2023 Jul-Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey.

Meinlschmidt Gunther G Stalujanis Esther E Grisar Laura L Borrmann Moritz M Tegethoff Marion M

International journal of clinical and health psychology : IJCHP 20230307 3

<h4>Background</h4>Automated Driving Systems (ADS) may reshape mobility. Yet, related fear and anxiety are largely unknown. We estimated the prevalence and risk factors of anticipated anxiety towards ADS.<h4>Method</h4>In a nationally representative face-to-face household survey, we assessed anticipated levels of anxiety towards ADS based on DSM-5 specific phobia criteria, using structured diagnostic interviews. We estimated weighted prevalences and conducted adjusted logistic regression models. ...[more]

PMID: 36937334

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Project description:BackgroundReliable epidemiological data on Alzheimer's disease are scarce. However, these are necessary to adapt healthcare policy in terms of prevention, care and social needs related to this condition. To estimate the prevalence rate in the Alpes-Maritimes on the French Riviera, with a population of one million, we present a capture-recapture procedure applied to cases of Alzheimer's disease, based on two epidemiological surveillance systems.MethodsTo estimate the total number of patients affected by Alzheimer's disease, a capture-recapture study included a cohort of patients with Alzheimer's disease or receiving medications only eligible for use for this condition, recorded by a specific health insurance information system (Health Insurance Cohort, HIC), and those registered in the French National Alzheimer's Data Bank ("Banque Nationale Alzheimer", BNA) in 2010 and 2011. We applied Bayesian estimation of the Mt ecological model, taking into account age and gender as covariates, i.e. factors of inhomogeneous catchability.ResultsOverall, 5,562 patients with Alzheimer's disease were recorded, of whom only 856 were common to both information systems. Mean age and F/M sex ratio differed between BNA and HIC surveillance systems, 81 vs 84 years and 2.7 vs 3.2, respectively. A Bayesian estimation, with age and gender as covariates, yields an estimate of 15,060 cases of Alzheimer's disease [95%HPDI: 14,490-15,630] in the Alpes-Maritimes. The completeness of the HIC and BNA databases were respectively of 25.4% and 17.2%. The estimated prevalence rate among the population over 65 years old was 6.3% in 2010-2011.ConclusionsThis study demonstrates that it is possible to determine the number of subjects affected by Alzheimer's disease in a geographical unit, using available data from two existing surveillance systems in France, i.e. 15,060 cases in the Alpes-Maritimes. This is the first stage of a population-based approach in view of adapting available resources to the population's needs.

Dataset Information

Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey.

Background

Method

Results

Conclusion

Publications

Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey.

Similar Datasets

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