Association between Socioeconomic Factors and Hearing Loss in Working Population
محل انتشار: فصلنامه آرشیو بهداشت حرفه ای، دوره: 5، شماره: 3
سال انتشار: 1400
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 249
فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_AOH-5-3_007
تاریخ نمایه سازی: 14 مهر 1400
چکیده مقاله:
Background: This study aimed to investigate the association between demographic, social, and economic factors of employees and hearing loss. Methods: In this cross-sectional study, the required data were extracted from the periodic medical examination of ۹۸۷ workers in an automotive industry. Kruskal-Wallis and Mann-Whitney tests were used to study the associations. The data were analyzed in the SPSS software. Results: In this study, most of the subjects were in the age group of ۳۰-۴۹ years and also had less than ۱۰ years of working experience. In terms of education level, most of them had a diploma. The relationship between work experience and hearing loss indicated profound hearing loss among a workers with ۱۰ to ۲۰ years of work experience. According to age, the subjects over the age of ۵۵ years had the highest prevalence of hearing loss (p = ۰.۰۴). Conclusion: Age and work experience, education, income, and type of job are among the factors that could predict the at risk population for hearing loss.
کلیدواژه ها:
نویسندگان
Azam Biabani
Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran
Mojtaba Zokaei
Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran
Mohsen Falahati
Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran
Shahla Ziamanesh
Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :