Halder Pritam, Saha Sayan, Mamgai Anshul, Kolachala Abhinav Chandra Sekhar, Chattopadhyay Ankita, Rathor Shivani, Prabhakar Manish Chandra
Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Room No 135, Sector 12, 160012, Chandigarh, India.
Department of Psychiatry, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, 560029, India.
Discov Ment Health. 2024 Nov 28;4(1):60. doi: 10.1007/s44192-024-00118-w.
INTRODUCTION: The prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to estimate distribution and determine the association between RTA and depression among Indian population aged 45 years and above: overall and stratified into age group, gender and across states/union territories as aspirants, achievers, and front runners. METHODS: Using Longitudinal Aging Study in India (LASI) dataset (April 2017-December 2018), we have conducted this study among middle aged (45-59 years) and older adults and elderly (≥ 60 years) Indians. Bivariate analysis was conducted to estimate the prevalence of RTA and depression nationally and across aspirants, achievers, and front runner states. States and union territories were categorised as low, medium, and high as per RTA and depression prevalence, which were further cross tabulated. Spatial distribution maps were created using Microsoft Excel. We have documented the association of RTA with depression. To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was analysed using STATA version 17. RESULTS: Prevalence of RTA was 1.84% (1.74-1.94) nationally, highest among achiever states [2.04% (1.82-2.30)]. Prevalence of depression was 6.08% (5.90-6.26) nationally, highest among aspirant states [7.02% (6.74-7.30)]. The adjusted odds of having RTA was significantly among depressed [aOR (95% CI) 1.76 (1.45-2.15)] than non-depressed participants; which was much higher among females [aOR (95% CI) 1.93 (1.43-2.62)] than in males [aOR (95%CI) 1.67 (1.29-2.16)] and much higher among middle aged [aOR (95%CI) 2.08 (1.63-2.65)]. Odds of RTA was highest across front runners [aOR (95%CI) 1.86 (1.26-2.72)] followed by aspirant states [aOR (95%CI) 1.79 (1.37-2.33)]. CONCLUSION: This study established the positive association between depression and road traffic accidents among middle aged, older adults and elderly. Therefore, efforts must be taken to address mental health issues in them with proper policy implication more focused on females and middle aged. Front runner's states should get the limelight followed by aspirant states.
引言：道路交通事故（RTA）和抑郁症等重要公共卫生问题的患病率正在飙升。本研究旨在估计印度45岁及以上人群中道路交通事故的分布情况，并确定道路交通事故与抑郁症之间的关联：总体情况以及按年龄组、性别分层，并在各邦/联邦属地中分为有抱负者、成功者和领先者进行分析。 方法：利用印度纵向老龄化研究（LASI）数据集（2017年4月 - 2018年12月），我们在印度中年（45 - 59岁）、老年人及高龄老人（≥60岁）中开展了这项研究。进行双变量分析以估计全国以及有抱负者、成功者和领先者各邦中道路交通事故和抑郁症的患病率。各邦和联邦属地根据道路交通事故和抑郁症的患病率分为低、中、高三类，并进一步进行交叉制表。使用Microsoft Excel创建空间分布图。我们记录了道路交通事故与抑郁症之间的关联。为减少人口统计学和社会经济因素、健康相关和行为协变量的混杂效应，进行了倾向得分匹配（PSM）。使用STATA 17版本分析嵌套多级回归模型。 结果：全国道路交通事故患病率为1.84%（1.74 - 1.94），在成功者各邦中最高[2.04%（1.82 - 2.30）]。全国抑郁症患病率为6.08%（5.90 - 6.26），在有抱负者各邦中最高[7.02%（6.74 - 7.30）]。与未患抑郁症的参与者相比，患抑郁症者发生道路交通事故的校正比值显著更高[aOR（95%CI）1.76（1.45 - 2.15）]；女性[aOR（部分缺失，推测为95%CI）版本，此处按格式补充完整]1.93（1.43 - 2.62）]高于男性[aOR（95%CI）1.67（1.29 - 2.16）]，中年人群中更高[aOR（95%CI）2.08（1.63 - 2.65）]。在领先者各邦中道路交通事故的比值最高[aOR（95%CI）1.86（1.26 - 2.72）]，其次是有抱负者各邦[aOR（95%CI）1.79（1.37 - 2.33）]。 结论：本研究证实了中年、老年人及高龄老人中抑郁症与道路交通事故之间存在正相关。因此，必须采取措施，通过适当的政策干预来解决他们的心理健康问题，尤其要更加关注女性和中年人群。领先者各邦应受到更多关注，其次是有抱负者各邦。
World J Emerg Med. 2014
Ann Gen Psychiatry. 2021-12-18
Int Arch Occup Environ Health. 2022-1
Geriatrics (Basel). 2020-10-19
Health Res Policy Syst. 2018-3-1
Inj Epidemiol. 2017-12
Zotero 插件
