obesity_cost_full

Complete output with all variables used to make cost
calculations, as well as cost calculations in a given state and year.<dl>
<dt>State</dt>
<dd>state of interest</dd><dt>Year</dt>
<dd>year of interest</dd><dt>m_t</dt>
<dd>median income in year t</dd><dt>d_t</dt>
<dd>work-impacting disability prevalence in year t</dd><dt>e_t</dt>
<dd>employment average ration in year t</dd><dt>b_t</dt>
<dd>employment benefit in year t</dd><dt>p_it</dt>
<dd>population in state i and year t</dd><dt>pi_it</dt>
<dd>obesity prevalence in state i and year t</dd><dt>tau_t</dt>
<dd>total employee benefits in year t</dd><dt>varphi_it</dt>
<dd>gross domestic product of state i in year t</dd><dt>DC_it</dt>
<dd>direct cost of state i in year t</dd><dt>M_it</dt>
<dd>excess mortality cost of state i in year t</dd><dt>A_it</dt>
<dd>absenteeism cost of state i in year t</dd><dt>D_it</dt>
<dd>disability cost of state i in year t</dd><dt>IC_it</dt>
<dd>indirect cost of state i in year t</dd><dt>TC_it</dt>
<dd>total cost of state i in year t</dd>
</dl>

datasets

This 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. 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" <doi:10.3390/risks10100197>. The database is composed of the following main tables: 1. Relative_Risks: (constant) Relative risks for a given disease group with a risk factor of obesity; 2. Disease_Cost: (obesity_cost_disease) Supplementary output with all variables related to individual disease groups in a given state and year; 3. Full_Cost: (obesity_cost_full) Complete output with all variables used to make cost calculations, as well as cost calculations in a given state and year; 4. National_Summary: (obesity_cost_national_summary) National summary cost calculations in a given year. Three functions are included to assist users in calling and adjusting the mentioned tables and they are data_load(), data_produce(), and rel_risk_fun().

Tianyue Zang

obcost

Obesity Cost Database

Thomas  Woods

Tatjana Miljkovic

obesity_cost_full function

An object of class <code>data.frame</code> with 1150 rows and 16 columns.

Format

Complete output with all variables used to make cost
calculations, as well as cost calculations in a given state and year.<dl>
<dt>State</dt>
<dd>state of interest</dd>

<dt>Year</dt>
<dd>year of interest</dd>

<dt>m_t</dt>
<dd>median income in year t</dd>

<dt>d_t</dt>
<dd>work-impacting disability prevalence in year t</dd>

<dt>e_t</dt>
<dd>employment average ration in year t</dd>

<dt>b_t</dt>
<dd>employment benefit in year t</dd>

<dt>p_it</dt>
<dd>population in state i and year t</dd>

<dt>pi_it</dt>
<dd>obesity prevalence in state i and year t</dd>

<dt>tau_t</dt>
<dd>total employee benefits in year t</dd>

<dt>varphi_it</dt>
<dd>gross domestic product of state i in year t</dd>

<dt>DC_it</dt>
<dd>direct cost of state i in year t</dd>

<dt>M_it</dt>
<dd>excess mortality cost of state i in year t</dd>

<dt>A_it</dt>
<dd>absenteeism cost of state i in year t</dd>

<dt>D_it</dt>
<dd>disability cost of state i in year t</dd>

<dt>IC_it</dt>
<dd>indirect cost of state i in year t</dd>

<dt>TC_it</dt>
<dd>total cost of state i in year t</dd>


</dl>

obesity_cost_full: Relevant Data for Obesity, Cost, and Diseases

Description

Usage

Arguments

Format