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Summarizing health-related quality of life (HRQOL): development and testing of a one-factor model.

Yin S, Njai R, Barker L, Siegel PZ, Liao Y - Popul Health Metr (2016)

Bottom Line: In addition, use of the one-factor model showed stability, with no changes being detected from 2001 to 2013.Instead of using four individual items to measure HRQOL, it is feasible to study overall HRQOL via factor analysis with one underlying construct.The resulting summary score of HRQOL may be used for health evaluation, subgroup comparison, trend monitoring, and risk factor identification.

View Article: PubMed Central - PubMed

Affiliation: SciMetrika, LLC, 100 Capitola Drive, Durham, NC 27701 USA.

ABSTRACT

Background: Health-related quality of life (HRQOL) is a multi-dimensional concept commonly used to examine the impact of health status on quality of life. HRQOL is often measured by four core questions that asked about general health status and number of unhealthy days in the Behavioral Risk Factor Surveillance System (BRFSS). Use of these measures individually, however, may not provide a cohesive picture of overall HRQOL. To address this concern, this study developed and tested a method for combining these four measures into a summary score.

Methods: Exploratory and confirmatory factor analyses were performed using BRFSS 2013 data to determine potential numerical relationships among the four HRQOL items. We also examined the stability of our proposed one-factor model over time by using BRFSS 2001-2010 and BRFSS 2011-2013 data sets.

Results: Both exploratory factor analysis and goodness of fit tests supported the notion that one summary factor could capture overall HRQOL. Confirmatory factor analysis indicated acceptable goodness of fit of this model. The predicted factor score showed good validity with all of the four HRQOL items. In addition, use of the one-factor model showed stability, with no changes being detected from 2001 to 2013.

Conclusion: Instead of using four individual items to measure HRQOL, it is feasible to study overall HRQOL via factor analysis with one underlying construct. The resulting summary score of HRQOL may be used for health evaluation, subgroup comparison, trend monitoring, and risk factor identification.

No MeSH data available.


Related in: MedlinePlus

HRQOL summary score, BRFSS 2013. Histogram shows the distribution of the HRQOL summary score using BRFSS 2013 data set. Larger value means better quality of HRQOL. The “skewed left” distribution suggests that the majority of the population is healthy in terms of HRQOL
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Fig2: HRQOL summary score, BRFSS 2013. Histogram shows the distribution of the HRQOL summary score using BRFSS 2013 data set. Larger value means better quality of HRQOL. The “skewed left” distribution suggests that the majority of the population is healthy in terms of HRQOL

Mentions: To quantify the overall HRQOL, weighted factor score values were predicted by the final CFA model. Factor score could be considered as weighted sum scores (multiplying the score of each item into its factor loading and then summing all of them). Figure 2 shows the distribution of predicted factor scores using BRFSS 2013 data, with a larger value indicating better quality of HRQOL. The “skewed left” distribution suggests that the majority of the population is healthy in terms of HRQOL. To check the consistency of HRQOL factor scores with their original measures, we summarized HRQOL factor scores for each level of CDC HRQOL-4 (Table 3). Either in one year or across years, the overall means of HRQOL factor scores decrease as the CDC HRQOL-4 ratings become worse for both male and female adults (we did an analysis stratified by sex, discussed later), indicating the validity of factor scores in representing HRQOL.Fig. 2


Summarizing health-related quality of life (HRQOL): development and testing of a one-factor model.

Yin S, Njai R, Barker L, Siegel PZ, Liao Y - Popul Health Metr (2016)

HRQOL summary score, BRFSS 2013. Histogram shows the distribution of the HRQOL summary score using BRFSS 2013 data set. Larger value means better quality of HRQOL. The “skewed left” distribution suggests that the majority of the population is healthy in terms of HRQOL
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4940947&req=5

Fig2: HRQOL summary score, BRFSS 2013. Histogram shows the distribution of the HRQOL summary score using BRFSS 2013 data set. Larger value means better quality of HRQOL. The “skewed left” distribution suggests that the majority of the population is healthy in terms of HRQOL
Mentions: To quantify the overall HRQOL, weighted factor score values were predicted by the final CFA model. Factor score could be considered as weighted sum scores (multiplying the score of each item into its factor loading and then summing all of them). Figure 2 shows the distribution of predicted factor scores using BRFSS 2013 data, with a larger value indicating better quality of HRQOL. The “skewed left” distribution suggests that the majority of the population is healthy in terms of HRQOL. To check the consistency of HRQOL factor scores with their original measures, we summarized HRQOL factor scores for each level of CDC HRQOL-4 (Table 3). Either in one year or across years, the overall means of HRQOL factor scores decrease as the CDC HRQOL-4 ratings become worse for both male and female adults (we did an analysis stratified by sex, discussed later), indicating the validity of factor scores in representing HRQOL.Fig. 2

Bottom Line: In addition, use of the one-factor model showed stability, with no changes being detected from 2001 to 2013.Instead of using four individual items to measure HRQOL, it is feasible to study overall HRQOL via factor analysis with one underlying construct.The resulting summary score of HRQOL may be used for health evaluation, subgroup comparison, trend monitoring, and risk factor identification.

View Article: PubMed Central - PubMed

Affiliation: SciMetrika, LLC, 100 Capitola Drive, Durham, NC 27701 USA.

ABSTRACT

Background: Health-related quality of life (HRQOL) is a multi-dimensional concept commonly used to examine the impact of health status on quality of life. HRQOL is often measured by four core questions that asked about general health status and number of unhealthy days in the Behavioral Risk Factor Surveillance System (BRFSS). Use of these measures individually, however, may not provide a cohesive picture of overall HRQOL. To address this concern, this study developed and tested a method for combining these four measures into a summary score.

Methods: Exploratory and confirmatory factor analyses were performed using BRFSS 2013 data to determine potential numerical relationships among the four HRQOL items. We also examined the stability of our proposed one-factor model over time by using BRFSS 2001-2010 and BRFSS 2011-2013 data sets.

Results: Both exploratory factor analysis and goodness of fit tests supported the notion that one summary factor could capture overall HRQOL. Confirmatory factor analysis indicated acceptable goodness of fit of this model. The predicted factor score showed good validity with all of the four HRQOL items. In addition, use of the one-factor model showed stability, with no changes being detected from 2001 to 2013.

Conclusion: Instead of using four individual items to measure HRQOL, it is feasible to study overall HRQOL via factor analysis with one underlying construct. The resulting summary score of HRQOL may be used for health evaluation, subgroup comparison, trend monitoring, and risk factor identification.

No MeSH data available.


Related in: MedlinePlus