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1.
BMC Public Health ; 24(1): 1592, 2024 Jun 14.
Artigo em Inglês | MEDLINE | ID: mdl-38877518

RESUMO

BACKGROUND: Bengaluru, a metropolis in Southern India, is one of the largest markets for cab aggregator companies. Drivers working for these companies play a vital role in urban transportation but unlike other drivers, their work pattern is stressful, which could increase their proneness to NCD risk factors. Understanding associations between work environment adversity and NCD risk factors among these drivers will help to plan specific health promotion and NCD prevention programs including provision of basic occupational health services. OBJECTIVES: The study aims to test for an association between work environment adversity and selected Non-communicable Disease (NCD) risk factors among Application Cab Aggregator drivers in Bengaluru city and to estimate the prevalence of selected NCD risk factors among the ABCA drivers. METHODOLOGY: This cross-sectional study was conducted in Bengaluru city among 340 eligible and consenting ABCA drivers with at least one-year experience. Drivers were recruited through a multi-stage sampling procedure and time-period sampling, from transportation and leisure zones in the city. Data was collected through interviews using specifically developed semi-structured tools to assess work environment adversity and NCD risk factors. Prevalence of NCD risk factors is presented per 100 drivers with 95% confidence intervals. Multivariate Logistic regression analysis was conducted to quantify the strength of the association between work environment adversity categories and NCD risk factors. Ethical clearance was obtained from the NIMHANS Ethics Committee. RESULTS: Nearly 97% of the 340 drivers reported having one or more NCD risk factors. Working more than 5 days a week, more than 7 + hours a day, staying away from family, and working night shifts were closely associated with higher risk for NCD risk factors among ABCA drivers. Drivers with work environment adversity scores between 5 and 10 were associated with higher odds of Physical Inactivity (OR = 3.1), Unhealthy diets (OR = 1.62), and Tobacco Use (OR = 3.06). CONCLUSION: The study highlights the association between work environment adversity and NCD risk factors and indicates a dire need for NCD prevention programs, basic occupational health services, and social security provisions for ABCA cab drivers.


Assuntos
Doenças não Transmissíveis , Local de Trabalho , Humanos , Índia/epidemiologia , Estudos Transversais , Fatores de Risco , Masculino , Adulto , Local de Trabalho/psicologia , Doenças não Transmissíveis/epidemiologia , Pessoa de Meia-Idade , Feminino , Condução de Veículo/estatística & dados numéricos , Prevalência , Condições de Trabalho
3.
Indian J Public Health ; 64(Supplement): S221-S224, 2020 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32496259

RESUMO

The information on the clinical course of coronavirus disease 2019 (COVID-19) and its correlates which are essential to assess the hospital care needs of the population are currently limited. We investigated the factors associated with hospital stay and death for COVID-19 patients for the entire state of Karnataka, India. A retrospective-cohort analysis was conducted on 445 COVID-19 patients that were reported in the publicly available media-bulletin from March 9, 2020, to April 23, 2020, for the Karnataka state. This fixed cohort was followed till 14 days (May 8, 2020) for definitive outcomes (death/discharge). The median length of hospital stay was 17 days (interquartile range: 15-20) for COVID-19 patients. Having severe disease at the time of admission (adjusted-hazard-ratio: 9.3 (3.2-27.3);P < 0.001) and being aged ≥ 60 years (adjusted-hazard-ratio: 11.9 (3.5-40.6);P < 0.001) were the significant predictors of COVID-19 mortality. By moving beyond descriptive (which provide only crude information) to survival analyses, information on the local hospital-related characteristics will be crucial to model bed-occupancy demands for contingency planning during COVID-19 pandemic.


Assuntos
Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/fisiopatologia , Hospitalização/estatística & dados numéricos , Pneumonia Viral/epidemiologia , Pneumonia Viral/fisiopatologia , Adulto , Fatores Etários , Idoso , Betacoronavirus , COVID-19 , Comorbidade , Infecções por Coronavirus/mortalidade , Feminino , Humanos , Índia/epidemiologia , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Pandemias , Pneumonia Viral/mortalidade , Características de Residência , Estudos Retrospectivos , Fatores de Risco , SARS-CoV-2 , Índice de Gravidade de Doença , Fatores Sexuais , Fatores Socioeconômicos , Análise de Sobrevida
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