A Path Analysis Model for Explaining the Factors Influencing Wearing a Mask among Commuting Workers Using Commuter Line Bogor-Jakarta

David Kusmawan, Shofi Andari, Ira Gustina, Indri Hapsari Susilowati, Mufti Wirawan

Abstract


Jakarta is one of the most air-polluted cities in the world, which can increase the health risk of commuting workers exposed to pollutants. This study aimed to determine the factors that directly and indirectly affect healthy behavior (wearing a mask) for commuters using the Bogor-Jakarta Commuter Line. Furthermore, a total of 155 respondents participated and the data collected were analyzed using descriptive and path analysis. The commuters aware of the hazard potential related to air pollution during commuting were 137 people (88.4%). While 104 people (67.1%) were aware of the good perception of pollution and 125 uses masks during commuting (80.6%). The healthy behavior in commuting workers using Commuter Line was affected by some factors, both directly and indirectly. The knowledge and commuting experience toward healthy behavior were two variables that significantly influenced on healthy behavior. The knowledge was also the only mediated variable with a significant indirect effect of education on healthy behavior.

Keywords


commuting workers, healthy behavior, Commuter Line, mask, path analysis

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References


 1. World Health Organization. Ambient air pollution: a global assessment of exposure and burden of disease; 2016.

 2.Woodward N, Haghani A, Johnson R, Hsu T, Saffari A, Sioutas C, et al.Prenatal and early life exposure to air pollution induced hippocampal vascular leakage and impaired neurogenesis in association with behavioral deficits. Translational Psychiatry. 2018; 8: 261.

 3.Gilliland J, Maltby M, Xu X, Luginaah I, Loebach J, Shah T. Is activetravel a breath of fresh air? Examining children's exposure to air pollution during the school commute. Spatial and Spatio-temporal Epidemiology. 2019; 29: 51-7.

 4.Zuurbier M, Hoek G, Oldenwening M, Meliefste K, van den Hazel P, Brunekreef B. Respiratory effects of commuters' exposure to air pollution in traffic. Epidemiology. 2011: 219-27.

 5.Knibbs LD, Cole-Hunter T, Morawska L. A review of commuter exposure to ultrafine particles and its health effects. Atmospheric Environment. 2011; 45: 2611-22.

 6.Miao Q, Bouchard M, Chen D, Rosenberg MW, Aronson KJ. Commuting behaviors and exposure to air pollution in Montreal,Canada. Science of the Total Environment. 2015; 508: 193.

 7.Takano APC, Justo LT, dos Santos NV, Marquezini MV, de André PA,da Rocha FMM, et al. Pleural anthracosis as an indicator of lifetime exposure to urban air pollution: an autopsy-based study in Sao Paulo. Environmental Research. 2019; 173: 23-32.

 8.Vienneau D, Schindler C, Perez L, Probst-Hensch N, Röösli M. The relationship between transportation noise exposure and ischemic heartdisease: a meta-analysis. Environmental Research. 2015; 138: 372-80.

 9.Pandit B, Albert A, Patil Y, Al-Bayati AJ. Impact of safety climate on hazard recognition and safety risk perception. Safety Science. 2019;113: 44-53.

 10.Kusmawan D, Susilowati IH, Wirawan M. Study of quality of life at worker user train commuter line and transjakarta busway Bogor-Jakarta 2018. Indian Journal of Public Health Research & Development. 2018;9.

 11.Hooper D, Coughlan J, Mullen M. Structural equation modelling: guidelines for determining model fit. Articles. 2008: 2.

 12.Kline RB. Principles and practice of structural equation modeling. Guilford Publications; 2015.

 13.Fogarty GJ, Shaw A. Safety climate and the theory of planned behavior: towards the prediction of unsafe behavior. Accident Analysis &Prevention. 2010; 42: 1455-9.

 14.Hazavehei S, Shadzi S, Asgari T, Pourabdian S, Hasanzadeh A. The effect of safety education based on health belief model (HBM) on the workers practice of Borujen industrial town in using the personal protection respiratory equipments. Iran Occupational Health. 2008; 5: 21-30.

 15.Patel D, Shibata T, Wilson J, Maidin A. Challenges in evaluating PM concentration levels, commuting exposure, and mask efficacy in reducing PM exposure in growing, urban communities in a developing country. Science of The Total Environment. 2016; 543: 416-24.

 16.Pacitto A, Amato F, Salmatonidis A, Moreno T, Alastuey A, Reche C, etal. Effectiveness of commercial face masks to reduce personal PM exposure. Science of The Total Environment. 2019; 650: 1582-90.

 17.Ghasemi F, Kalatpour O, Moghimbeigi A, Mohhamadfam I. A path analysis model for explaining unsafe behavior in workplaces: the effect of perceived work pressure. International Journal of Occupational Safety and Ergonomics. 2018; 24: 303-10.

 18.Dewi RD, Rahardjo SS, Murti B. Path analysis on the factors affecting the use of personal protection equipment among airport construction workers in Yogyakarta. Journal of Health Promotion and Behavior.2019; 4: 12-21.

 19.Jeon J. The strengths and limitations of the statistical modeling of complex social phenomenon: focusing on SEM, path analysis, or multiple regression models. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering. 2015; 9:1594-602.

 20. Irfan M, Akhtar N, Ahmad M, Shahzad F, Elavarasan RM, Wu H, Yang C. Assessing public willingness to wear face masks during the COVID-19 pandemic: fresh insights from the theory of planned behavior. International Journal of Environmental Research and Public Health.2021;18 (9): 4577.




DOI: http://dx.doi.org/10.21109/kesmas.v16i2.3280

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