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1.
Children (Basel) ; 9(7)2022 Jul 12.
Article in English | MEDLINE | ID: mdl-35884022

ABSTRACT

The playground is perhaps the one area where school children feel like they can roam free, and public playgrounds provide many learning opportunities through different types of play. A cross-sectional descriptive study is presented with the objective of studying playground safety and the play behavior of primary school children at a park in Nakhon Si Thammarat Province, Thailand. The total number of playground equipment pieces was 22, the sample group of children was 362 children, and the data were collected using a playground safety survey and an observation form on playground play behavior. Data were collected from 2017 to 2018 and were analyzed using descriptive statistics including frequency, average, and standard deviation. The research showed that: (1) the most common defects of playground equipment included the material selection, the distance of the stair steps, and the height of the playground equipment; (2) the lack of awareness of children in terms of using the playground equipment safely; and (3) the three top risks in the play behavior of children were not checking equipment or toys before play, playing on the equipment over-adventurously, and playing on the equipment carelessly with friends. Related government agencies should provide support and management for playground areas and playground equipment by continuously implementing equipment checks, improvements, and repairs.

2.
Saf Health Work ; 13(2): 170-179, 2022 Jun.
Article in English | MEDLINE | ID: mdl-35664904

ABSTRACT

Background: The vulnerability of international migrant workers is on the rise, affecting the frequency of occupational accidents at workplaces worldwide. If migrant workers are managed in the same way as native workers, the consequences on safety assurance and risk management will be significant. This study aimed to develop the vulnerability factor model for migrant workers in seafood processing industries because of significant risk-laden labor of Thailand, which could be a solution to control the risk effectively. Methods: A total of 569 migrant workers were surveyed (432 Burmese and 137 Cambodian), beginning with 40 initial vulnerability factors identified in the questionnaire established from experts. The data were analyzed through descriptive analysis; exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to ascertain the model. Results: The result of content validity >0.67 and the Cronbach's alpha of 0.957 specified the high reliability of 40 factors. The EFA indicated a total variance of 65.49%. The final CFA validated the model and had an empirical fitting; chi-square = 85.34, Adjust Goodness-of-Fit Index = 0.96, and root mean square error of approximation = 0.016. The structure concluded with three dimensions and 18 factors. Dimension 1 of the structure, "multicultural safety operation," contained 12 factors; Dimension 2, "well-being," contained four factors; and Dimension 3, "communication technology," contained two factors. Conclusion: The vulnerability factor structure developed in this study included three dimensions and 18 factors that were significantly empirical. The knowledge enhanced safety management in the context of vulnerability factor structure for migrant workers at the workplace.

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