obesity_cost_disease

This dataset gives supplementary output with all variables
related to individual disease groups in a given state and year.<dl>
<dt>State</dt>
<dd>state of interest</dd><dt>Year</dt>
<dd>year of interest</dd><dt>pi_it</dt>
<dd>obesity prevalence in state i and year t</dd><dt>cause</dt>
<dd>disease group</dd><dt>rr_j</dt>
<dd>relative risk of disease group j on obesity</dd><dt>psi_jt</dt>
<dd>national cost of disease group j in year t</dd><dt>rho_jit</dt>
<dd>population-attributable risk percent of disease group j in state i and year t</dd><dt>DC_jit</dt>
<dd>direct cost for disease group j in state i and 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_disease function

An object of class <code>data.frame</code> with 10350 rows and 8 columns.

Format

This dataset gives supplementary output with all variables
related to individual disease groups in a given state and year.<dl>
<dt>State</dt>
<dd>state of interest</dd>

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

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

<dt>cause</dt>
<dd>disease group</dd>

<dt>rr_j</dt>
<dd>relative risk of disease group j on obesity</dd>

<dt>psi_jt</dt>
<dd>national cost of disease group j in year t</dd>

<dt>rho_jit</dt>
<dd>population-attributable risk percent of disease group j in state i and year t</dd>

<dt>DC_jit</dt>
<dd>direct cost for disease group j in state i and year t</dd>


</dl>

obesity_cost_disease: Relevant Data for Obesity, Cost, and Diseases

Description

Usage

Arguments

Format