Dataset Information

Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand.

ABSTRACT: Thailand has the highest road traffic fatality rate in Southeast Asia, making road safety a critical public health concern. A 2015 World Health Organization (WHO) Report showed that speeding behavior was the most important determinant for road traffic crashes in Thailand. Here, we aimed to examine associations of socio-demographic factors (gender, age, socioeconomic status) with self-reported motorcycle speeding behavior. Additionally, we examined a potential role of time discounting and risk preference as mediators in the association of socio-demographic factors with speeding. We used data obtained from the Mahasarakham University Social Network Survey 2018 (MSUSSS) (N = 150). We ran linear network autocorrelation models (lnam) to account for the data's social network structure. We found that males are more likely than females to engage in speeding behavior (? = 0.140, p = 0.001) and to discount the future (? = 5.175, p = 0.017). However, further causal mediation analysis showed that time discounting does not mediate the gender-speeding association (p for mediation = 0.540). Although socioeconomic status (subjective social class) was not associated with speeding (? = 0.039, p = 0.177), age was marginally associated with speeding (? = 0.005, p = 0.093). Future studies may consider using a larger sample.

SUBMITTER: Hong V

PROVIDER: S-EPMC7743924 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand.

Hong Vennis V Iwamoto Sage K SK Goto Rei R Young Sean S Chomduangthip Sukhawadee S Weeranakin Natirath N Nishi Akihiro A

PloS one 20201216 12

Thailand has the highest road traffic fatality rate in Southeast Asia, making road safety a critical public health concern. A 2015 World Health Organization (WHO) Report showed that speeding behavior was the most important determinant for road traffic crashes in Thailand. Here, we aimed to examine associations of socio-demographic factors (gender, age, socioeconomic status) with self-reported motorcycle speeding behavior. Additionally, we examined a potential role of time discounting and risk pr ...[more]

PMID: 33326462

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Dataset Information

Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand.

Publications

Socio-demographic determinants of motorcycle speeding in Maha Sarakham, Thailand.

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