Introduction: With increased urbanization the prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to determine the association between RTA and depression among Indian population aged ≥45 years.
Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017-December 2018), we have conducted this study among older adults (45-59 years) 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. Multivariable logistic regression was conducted between RTA and depression, adjusted with demographic and socioeconomic; health related and behavioral factors. value <0.05 was considered as statistically significant.
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 accident was significantly 1.75 times higher among depressed (aOR 1.75, 95% CI 1.44-2.13) than non-depressed participants which was highest across front runners (aOR 1.86, 95%CI 1.26-2.72) followed by aspirant states (aOR 1.79, 95%CI 1.37-2.33).
Conclusion: This study established the association between depression and road traffic accidents among older adults and elderly. Therefore, efforts must be taken to address mental health issues specially focusing on depression in them with proper policy implication more focused on front runners followed by aspirant states.
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http://dx.doi.org/10.4103/jfmpc.jfmpc_973_24 | DOI Listing |
J Family Med Prim Care
December 2024
Department of Medical Parasitology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Introduction: With increased urbanization the prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to determine the association between RTA and depression among Indian population aged ≥45 years.
Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017-December 2018), we have conducted this study among older adults (45-59 years) and elderly (≥60 years) Indians.
Discov Ment Health
November 2024
Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Room No 135, Sector 12, 160012, Chandigarh, India.
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.
JMIR Pediatr Parent
October 2024
Department of Rehabilitation Sciences, McMaster University, 1400 Main Street West, Hamilton, ON, L8S 1C7, Canada, 1 9055259140.
Nat Ment Health
January 2024
Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.
Major depressive disorder (MDD) is a heterogeneous clinical syndrome with widespread subtle neuroanatomical correlates. Our objective was to identify the neuroanatomical dimensions that characterize MDD and predict treatment response to selective serotonin reuptake inhibitor (SSRI) antidepressants or placebo. In the COORDINATE-MDD consortium, raw MRI data were shared from international samples ( = 1,384) of medication-free individuals with first-episode and recurrent MDD ( = 685) in a current depressive episode of at least moderate severity, but not treatment-resistant depression, as well as healthy controls ( = 699).
View Article and Find Full Text PDFSleep Med
July 2024
Univ. Grenoble Alpes, INSERM, CHU Grenoble Alpes, HP2 Laboratory, Grenoble, France; Pole Thorax et Vaisseaux, Laboratoire EFCR (Explorations Fonctionnelles Cardiovasculaire et Respiratoire), CHU Grenoble Alpes, Grenoble, France. Electronic address:
Objective/background: Chronic obstructive pulmonary disease (COPD), obstructive sleep apnea (OSA) and their comorbid association called Overlap Syndrome (OS) are frequent chronic diseases with high individual and societal burdens. Precise descriptions of the respective symptoms, comorbidities, and medications associated with these three conditions are lacking. We used a multidimensional phenotyping approach to identify relevant phenotypes characterizing these 3 disorders.
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