{"title":"通往复原之路(RR):了解工作环境对印度卡车司机心理健康的影响。","authors":"Vidya Bhushan Tripathi, Snigdha Pareek","doi":"10.1186/s12889-025-22370-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This paper explores the prevalence and factors contributing to depression among truck drivers in India. The aim is to identify specific factors associated with depression in this population and to provide suggestions for mitigating these factors.</p><p><strong>Methods: </strong>The study employs an observational cross-sectional analytical approach to explore truck drivers on National Highways through Jaipur, Rajasthan. It explored how work routine, workspace conditions, and family/social engagement impact depression. Variables included work hours, rest breaks, driving conditions, and social factors like police harassment. A sample of 300 drivers was selected using Probability Proportional to Size sampling from four randomly chosen halt points, based on average truck traffic, meeting criteria like experience and vehicle type.</p><p><strong>Results: </strong>The study surveyed truck drivers aged 22-56 years (average 35, SD = 6.6) and identified significant associations between depression and factors like working hours (χ2 = 51.227, p = .000), police humiliation (χ2 = 21.740, p = .000), workspace distraction (χ2 = 89.463, p = .000), and uncomfortable workspace conditions (χ2 = 7.997, p = .005). Age (χ2 = 3.083, p = .079) and marital status (χ2 = 1.782, p = .182) were not significant. Job satisfaction (B = 1.813, p = .001) and supervisor support (B = 1.156, p = .018) were significantly linked to depression.</p><p><strong>Conclusions: </strong>The study concludes that multiple factors significantly influence the likelihood of experiencing depression among truck drivers. Based on these findings, several recommendations are proposed to help reduce depression rates in this population. These include making mental health services readily available and accessible, implementing strict regulations on working hours to prevent excessive fatigue, and preventing police humiliation and abuse. This research contributes to the growing concern about the mental health of truck drivers in India and underscores the need for effective interventions to address these issues comprehensively.</p>","PeriodicalId":9039,"journal":{"name":"BMC Public Health","volume":"25 1","pages":"1227"},"PeriodicalIF":3.5000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959723/pdf/","citationCount":"0","resultStr":"{\"title\":\"Navigating the Road to Resilience (RR): understanding the work environment's influence on mental health among Indian truck drivers.\",\"authors\":\"Vidya Bhushan Tripathi, Snigdha Pareek\",\"doi\":\"10.1186/s12889-025-22370-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This paper explores the prevalence and factors contributing to depression among truck drivers in India. The aim is to identify specific factors associated with depression in this population and to provide suggestions for mitigating these factors.</p><p><strong>Methods: </strong>The study employs an observational cross-sectional analytical approach to explore truck drivers on National Highways through Jaipur, Rajasthan. It explored how work routine, workspace conditions, and family/social engagement impact depression. Variables included work hours, rest breaks, driving conditions, and social factors like police harassment. A sample of 300 drivers was selected using Probability Proportional to Size sampling from four randomly chosen halt points, based on average truck traffic, meeting criteria like experience and vehicle type.</p><p><strong>Results: </strong>The study surveyed truck drivers aged 22-56 years (average 35, SD = 6.6) and identified significant associations between depression and factors like working hours (χ2 = 51.227, p = .000), police humiliation (χ2 = 21.740, p = .000), workspace distraction (χ2 = 89.463, p = .000), and uncomfortable workspace conditions (χ2 = 7.997, p = .005). Age (χ2 = 3.083, p = .079) and marital status (χ2 = 1.782, p = .182) were not significant. Job satisfaction (B = 1.813, p = .001) and supervisor support (B = 1.156, p = .018) were significantly linked to depression.</p><p><strong>Conclusions: </strong>The study concludes that multiple factors significantly influence the likelihood of experiencing depression among truck drivers. Based on these findings, several recommendations are proposed to help reduce depression rates in this population. These include making mental health services readily available and accessible, implementing strict regulations on working hours to prevent excessive fatigue, and preventing police humiliation and abuse. This research contributes to the growing concern about the mental health of truck drivers in India and underscores the need for effective interventions to address these issues comprehensively.</p>\",\"PeriodicalId\":9039,\"journal\":{\"name\":\"BMC Public Health\",\"volume\":\"25 1\",\"pages\":\"1227\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959723/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Public Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12889-025-22370-7\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Public Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12889-025-22370-7","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
目的:本文探讨了印度卡车司机抑郁症的患病率和影响因素。目的是确定与这一人群中抑郁症相关的具体因素,并提供减轻这些因素的建议。方法:本研究采用观察性横断面分析方法,对拉贾斯坦邦斋浦尔国道上的卡车司机进行了调查。它探讨了工作常规、工作环境和家庭/社会参与如何影响抑郁症。变量包括工作时间、休息时间、驾驶条件以及警察骚扰等社会因素。300名司机的样本是根据平均卡车流量,符合经验和车辆类型等标准,从四个随机选择的中途点使用概率与大小成比例的抽样方法选出的。结果:该研究调查了22-56岁的卡车司机(平均35岁,SD = 6.6),发现抑郁与工作时间(χ2 = 51.227, p = .000)、警察羞辱(χ2 = 21.740, p = .000)、工作分心(χ2 = 89.463, p = .000)、工作环境不舒适(χ2 = 7.997, p = .005)等因素存在显著关联。年龄(χ2 = 3.083, p = 0.079)、婚姻状况(χ2 = 1.782, p = 0.182)差异均无统计学意义。工作满意度(B = 1.813, p = .001)和上级支持(B = 1.156, p = .018)与抑郁显著相关。结论:多重因素显著影响卡车司机抑郁的可能性。基于这些发现,提出了一些建议来帮助降低这一人群的抑郁症发病率。这些措施包括使心理健康服务易于获得和获得,执行严格的工作时间规定以防止过度疲劳,以及防止警察羞辱和虐待。这项研究促进了对印度卡车司机心理健康的日益关注,并强调需要采取有效的干预措施来全面解决这些问题。
Navigating the Road to Resilience (RR): understanding the work environment's influence on mental health among Indian truck drivers.
Objectives: This paper explores the prevalence and factors contributing to depression among truck drivers in India. The aim is to identify specific factors associated with depression in this population and to provide suggestions for mitigating these factors.
Methods: The study employs an observational cross-sectional analytical approach to explore truck drivers on National Highways through Jaipur, Rajasthan. It explored how work routine, workspace conditions, and family/social engagement impact depression. Variables included work hours, rest breaks, driving conditions, and social factors like police harassment. A sample of 300 drivers was selected using Probability Proportional to Size sampling from four randomly chosen halt points, based on average truck traffic, meeting criteria like experience and vehicle type.
Results: The study surveyed truck drivers aged 22-56 years (average 35, SD = 6.6) and identified significant associations between depression and factors like working hours (χ2 = 51.227, p = .000), police humiliation (χ2 = 21.740, p = .000), workspace distraction (χ2 = 89.463, p = .000), and uncomfortable workspace conditions (χ2 = 7.997, p = .005). Age (χ2 = 3.083, p = .079) and marital status (χ2 = 1.782, p = .182) were not significant. Job satisfaction (B = 1.813, p = .001) and supervisor support (B = 1.156, p = .018) were significantly linked to depression.
Conclusions: The study concludes that multiple factors significantly influence the likelihood of experiencing depression among truck drivers. Based on these findings, several recommendations are proposed to help reduce depression rates in this population. These include making mental health services readily available and accessible, implementing strict regulations on working hours to prevent excessive fatigue, and preventing police humiliation and abuse. This research contributes to the growing concern about the mental health of truck drivers in India and underscores the need for effective interventions to address these issues comprehensively.
期刊介绍:
BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.