Obesity Cost Database.

obcost

Description

obcost is a database contains necessary data relevant to medical costs on obesity throughout the United States. This database, in form of an R package, could output necessary data frames relevant to obesity costs, where the clients could easily manipulate the output using difference parameters, e.g. relative risks for each illnesses.

Functions

So far the functions included in the package are:

data_load

generate the essential four tables that concerns obesity

data_produce

load all critical values in a returned list format

rel_risk_fun

update the relative risks (or the constants) when crucial data needs updating

Details

Package: obcost Type: Package Version: 0.1.0 Date: 2022-10-23 License: public LazyData: no

Tables

The database is composed of the following main tables:

constant Relative

Risks for a given disease group with a risk factor of obesity.

obesity_cost_disease

Supplementary output with all variables related to individual disease groups in a given state and year.

obesity_cost_full

Complete output with all variables used to make cost calculations, as well as cost calculations in a given state and year.

obesity_cost_summary

National summary cost calculations in a given year.

fun_data Necessary

Raw data for generating new tables with user input

Import

Please make sure that packages of dplyr and tidyr is applied

Authors

Tianyue Selina Zang ([email protected])([email protected]) Thomas Woods, Tatjana Miljkovic

Maintainer: Tianyue Selina Zang ([email protected])([email protected])

Contribute/ Source

This package contributes to parts of our published journal named "Modeling the Economic Cost of Obesity Risk and Its Relation to the Health Insurance Premium in the United States: A State Level Analysis" Please use the following citation for the journal: Woods Thomas, Tatjana Miljkovic. 2022. Modeling the Economic Cost of Obesity Risk and Its Relation to the Health Insurance Premium in the United States: A State Level Analysis. Risks 10: 197. https://doi.org/10.3390/risks 10100197

References

State Population Totals. 2020. State Population Totals and Components of Change: 2010–2019. Suitland: U.S. Census Bureau. Available online: www.census.gov (accessed on 20 July 2021).

Current Population Survey Annual Social and Economic Supplements. 2020. Income and Poverty in the United States: 2019. Available online: www.census.gov (accessed on 20 July 2021).

Disability Characteristics. 2020. American Community Survey (acs). Available online: www.census.gov (accessed on 20 July 2021).

Characteristics of the Employed. 2020. Current Population Survey (cps). Available online: www.bls.gov (accessed on 20 July 2021).

Employer Costs for Employee Compensation. 2021. Archived News Releases. Available online: www.bls.gov (accessed on 20 July 2021).

Table of Overweight and Obesity (BMI). 2020. Behavioral Risk Factor Surveillance System. Available online: www.cdc.gov (accessed on 21 July 2021).

Premium, Schedule T., and Annuity Considerations. 2020. Total Health Industry Schedule T Allocated by States and Territories. Available online: www.spglobal.com (accessed on 29 October 2021).

Murray, Christopher J. L., Aleksandr Y. Aravkin, Peng Zheng, Cristiana Abbafati, Kaja M. Abbas, Mohsen Abbasi-Kangevari, Foad Abd-Allah, Ahmed Abdelalim, Mohammad Abdollahi, Ibrahim Abdollahpour, and et al. 2020. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the global burden of disease study 2019. The Lancet 396: 1223–249. [CrossRef]

Consumer Price Index. 2021. All Urban Consumers (Current Series). Available online: www.bls.gov (accessed on 21 July 2021).