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Validity of the Smombie Scale: Sensitivity and specificity in identifying pedestrian risk group

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dc.contributor.authorOh, Sumi-
dc.contributor.authorPark, Sunhee-
dc.date.accessioned2024-12-20T08:02:04Z-
dc.date.available2024-12-20T08:02:04Z-
dc.date.issued2024-01-
dc.identifier.issn2055-2076-
dc.identifier.issn2055-2076-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/204082-
dc.description.abstractObjective: The objective of this study was to determine the most effective cut-off point for the Smombie Scale and evaluate its ability to screen for pedestrian safety risks among young adults. Methods: Data were obtained from an online sample of 396 Korean young adults aged 18-39 years. Latent profile analysis was used to distinguish the risk group as a reference measure for the Smombie Scale. Discriminative power was assessed using sensitivity, specificity, receiver operating characteristic (ROC) curves, and the area under the ROC curve. The cut-off points were estimated from the Youden index and the balanced score. Results: The latent profile analysis showed two different classes: "risk group" of 17.8% and "others." Based on the latent profile analysis, sensitivity, and specificity analysis showed that an adequate cut-off point of 2.78 of five points or higher was associated with a high risk of distracted walking. Conclusion: The Smombie Scale is a good predictor of problematic smartphone use on the road and can be used as a screening tool for assessing risk levels among young adult pedestrians.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherSAGE Publications-
dc.titleValidity of the Smombie Scale: Sensitivity and specificity in identifying pedestrian risk group-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1177/20552076241271851-
dc.identifier.scopusid2-s2.0-85200655073-
dc.identifier.wosid001287579500001-
dc.identifier.bibliographicCitationDigital Health, v.10, pp 1 - 9-
dc.citation.titleDigital Health-
dc.citation.volume10-
dc.citation.startPage1-
dc.citation.endPage9-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaHealth Care Sciences & Services-
dc.relation.journalResearchAreaPublic, Environmental & Occupational Health-
dc.relation.journalResearchAreaMedical Informatics-
dc.relation.journalWebOfScienceCategoryHealth Care Sciences & Services-
dc.relation.journalWebOfScienceCategoryHealth Policy & Services-
dc.relation.journalWebOfScienceCategoryPublic, Environmental & Occupational Health-
dc.relation.journalWebOfScienceCategoryMedical Informatics-
dc.subject.keywordPlusDISTRACTION-
dc.subject.keywordPlusSMARTPHONE-
dc.subject.keywordPlusWALKING-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordPlusMUSIC-
dc.subject.keywordPlusROAD-
dc.subject.keywordAuthorPedestrians-
dc.subject.keywordAuthorproblematic use-
dc.subject.keywordAuthorrisk assessment-
dc.subject.keywordAuthorsmartphone-
dc.subject.keywordAuthoryoung adults-
dc.subject.keywordAuthorvalidity-
dc.identifier.urlhttps://journals.sagepub.com/doi/10.1177/20552076241271851-
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서울 간호대학 (서울 간호학과)
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