full_data

This dataset gives users opportunities to update the outputs with
there own input of relative risks<dl>
<dt>pop</dt>
<dd>Population</dd><dt>gdp</dt>
<dd>GDP 1963-2020 in millions of current dollars</dd><dt>mi</dt>
<dd>Median Income 1967-2019</dd><dt>bmi</dt>
<dd>BMI 1996-2019</dd><dt>disab</dt>
<dd>Disability 1981-2019</dd><dt>employ</dt>
<dd>Employment Rate 1950-2020</dd><dt>med_cost</dt>
<dd>Medical Conditions Cost 1996-2018</dd><dt>med_prev</dt>
<dd>Medical Conditions Prevalence 1996-2019</dd><dt>natl_med_prev</dt>
<dd>Medical Conditions National Prevalence 2996-2019</dd><dt>rel_risk</dt>
<dd>Relative Risks</dd><dt>benefits</dt>
<dd>Employee Benefits 1996-2018</dd><dt>insurance</dt>
<dd>insurance_data</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

full_data function

An object of class <code>list</code> of length 12.

Format

This dataset gives users opportunities to update the outputs with
there own input of relative risks<dl>
<dt>pop</dt>
<dd>Population</dd>

<dt>gdp</dt>
<dd>GDP 1963-2020 in millions of current dollars</dd>

<dt>mi</dt>
<dd>Median Income 1967-2019</dd>

<dt>bmi</dt>
<dd>BMI 1996-2019</dd>

<dt>disab</dt>
<dd>Disability 1981-2019</dd>

<dt>employ</dt>
<dd>Employment Rate 1950-2020</dd>

<dt>med_cost</dt>
<dd>Medical Conditions Cost 1996-2018</dd>

<dt>med_prev</dt>
<dd>Medical Conditions Prevalence 1996-2019</dd>

<dt>natl_med_prev</dt>
<dd>Medical Conditions National Prevalence 2996-2019</dd>

<dt>rel_risk</dt>
<dd>Relative Risks</dd>

<dt>benefits</dt>
<dd>Employee Benefits 1996-2018</dd>

<dt>insurance</dt>
<dd>insurance_data</dd>


</dl>

full_data: Necessary Raw Data for Generating New Tables With User Input

Description

Usage

Arguments

Format