Association between traffic noise-induced psychophysiological, and socio-demographic factors of motorcycle riders

This is an exposure effect research carried out in Bhubaneswar with 363 motor cycle riders (equal exposure hours) who go to and from work every day on a specific path. The acoustic environment of 14 major squares along this route was measured, and the equivalent noise level was found to be higher than the permissible limit. The demographics and psychophysiological (annoyance, sleeping problem, tiredness, headache, and depression) responses of the participants were collected using standard questionnaires. Blood pressure responses were acquired by monitoring blood pressure before and after being exposed to traffic noise in the morning and evening for further analysis. Moreover, Structural Equation Model (SEM) revealed a significant relationship between gender and blood pressure, gender and headache, gender and tiredness, marital status and blood pressure, profession and annoyance, sleeping problem and depression, annoyance and blood pressure, annoyance and depression, annoyance and headache, annoyance and sleeping problem, annoyance and tiredness, blood pressure and depression, blood pressure and sleeping problem. However, Artificial Neural Network (ANN) model found blood pressure as the most significant outcome of annoyance, followed by depression, sleeping problems, tiredness, and headache. Furthermore, depression and sleep problems are found to be the second most important outcomes, with a normalized importance of 91%. (C) 2022 Elsevier Ltd. All rights reserved.

Automated summary

This is a research conducted in Bhubaneswar, investigating 363 motorcycle riders who commute to work on a specific path. The study found that the noise level along the route exceeded the permissible limit. Questionnaires and blood pressure monitoring were used to collect data on demographics, psychophysiological responses, and blood pressure changes. The results indicated significant relationships between gender, marital status, profession, and various outcomes such as blood pressure, headache, fatigue, sleep problems, and depression.