DataScienceSalon/chronic: Clinical Depression: Prevalence, SocioDemographic, Chronic Disease Comorbidity, and Costs

A statistical analysis of depression in the United States, its prevalence, sociodemographics, comorbidity with other chronic illnesses, and its costs. The data source for this project was the Centers for Disease Control and Prevention's 2013 Behavioral Risk Factor Surveillance System (BRFSS) Survey, a national, state-based cross-sectional telephone survey of over 500,000 American respondents, capturing and documenting health practices and behavioral factors such as tobacco use, HIV/AIDS knowledge and prevention, exercise, immunization, health status, healthy days — health-related quality of life, health care access, inadequate sleep, hypertension awareness, cholesterol awareness, chronic health conditions, alcohol consumption, fruits and vegetables consumption, arthritis burden, and seatbelt use. The aim of the analysis was to engage four questions: (1) is there a relationship between socioeconomic status and depression, (2) to what degree does depression co-occur with other chronic conditions such as heart disease, diabetes, asthma, kidney disease, asthma and other lung diseases, (3) what are the marginal, conditional, and joint effects of depression on productivity vis-a-vis those of other chronic illnesses and (4) how does depression affect costs in terms of health service utilization, compared to other chronic disorders.

Getting started

Package details

MaintainerJohn James <>
Package repositoryView on GitHub
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DataScienceSalon/chronic documentation built on May 8, 2019, 11:47 a.m.