Details:

Alternative Title:
Prev Chronic Dis
Personal Author:
Jiang, Yongwen ; Hesser, Jana Earl
Jiang, Yongwen ; Hesser, Jana Earl Less -
Description:
Many researchers have presented results of the relationships between health-related quality of life (HRQOL) indicators (outcomes) and health risk factors using either linear or logistic regression modeling. We combined the results of multiple HRQOL models by using item response theory (IRT) to assess the association between multiple correlated HRQOL indicators and multiple demographic and health risk variables as predictors. The data source for the study was Rhode Island's 2004 Behavioral Risk Factor Surveillance System, which had a sample of 3,999 adults aged 18 years or older. We developed a single model for overall HRQOL by using IRT to assess the association between HRQOL indicators and multiple demographic and health risk variables as predictors. The strongest predictors for overall poor HRQOL were lower income, inability to work, unemployment, smoking, lack of exercise, asthma, obesity, and disability. IRT may serve as a solution for modeling multiple correlated outcomes in epidemiology. Application of IRT to epidemiologic data can help identify at-risk subgroups for targeted interventions.
Subject:
[+]
Adult
Attitude To Health
Behavioral Risk Factor Surveillance System
Female
Health Status
Health Status Indicators
Humans
Male
Odds Ratio
Patient Education As Topic
Quality Of Life
Questionnaires
Risk Factors
Socioeconomic Factors

Source:
Prev Chronic Dis. 2009; 6(1).
Document Type:
Journal Article
Place as Subject:
Rhode Island
Collection(s):
Preventing Chronic Disease
Main Document Checksum:
[+]
urn:sha256:ec50e6afc13d6156bbf23a1b4aea4f9466374459af58a5dad9f07df61d918b8f
File Type:

Supporting Files

• 	license.txt	txt
  	PCD61A30.nxml	txt
  	PCD61A30s01.gif	gif
  	PCD61A30s01.jpg	jpeg

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