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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

Trend analysis of overall HRQOL, BRFSS 2001–2010 and 2011–2013. The weighted and age-adjusted HRQOL summary scores were predicated by the model for the 2001–2010 and 2011–2013 periods, respectively. The mean HRQOL summary score for each year is shown from 2001 to 2013. The 2000 US Census population was used for age standardization.
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Fig3: Trend analysis of overall HRQOL, BRFSS 2001–2010 and 2011–2013. The weighted and age-adjusted HRQOL summary scores were predicated by the model for the 2001–2010 and 2011–2013 periods, respectively. The mean HRQOL summary score for each year is shown from 2001 to 2013. The 2000 US Census population was used for age standardization.

Mentions: The one-factor HRQOL model exhibits strong measurement invariance across year subgroups, which allows us to analyze how the mean of HRQOL factor scores changes over years. Figure 3 shows the age-standardized weighted means of HRQOL factor scores predicted for the 2001–2010 and 2011–2013 periods, respectively. The overall HRQOL scores gradually declined from 2001 to 2004 and, in general, remained stable thereafter through 2010 (p < 0.001 for 2001 vs. 2004, adjusted Wald test). Compared with 2011 and 2012, the overall HRQOL scores increased in 2013 (p < 0.001 for 2011 vs. 2013, adjusted Wald test). These findings were also confirmed with the changes from the original CDC HRQOL-4 questions (Additional file 1 shows results of CDC HRQOL-4 changes for 2001 vs. 2004, and 2011 vs. 2013).Fig. 3


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)

Trend analysis of overall HRQOL, BRFSS 2001–2010 and 2011–2013. The weighted and age-adjusted HRQOL summary scores were predicated by the model for the 2001–2010 and 2011–2013 periods, respectively. The mean HRQOL summary score for each year is shown from 2001 to 2013. The 2000 US Census population was used for age standardization.
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

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

Fig3: Trend analysis of overall HRQOL, BRFSS 2001–2010 and 2011–2013. The weighted and age-adjusted HRQOL summary scores were predicated by the model for the 2001–2010 and 2011–2013 periods, respectively. The mean HRQOL summary score for each year is shown from 2001 to 2013. The 2000 US Census population was used for age standardization.
Mentions: The one-factor HRQOL model exhibits strong measurement invariance across year subgroups, which allows us to analyze how the mean of HRQOL factor scores changes over years. Figure 3 shows the age-standardized weighted means of HRQOL factor scores predicted for the 2001–2010 and 2011–2013 periods, respectively. The overall HRQOL scores gradually declined from 2001 to 2004 and, in general, remained stable thereafter through 2010 (p < 0.001 for 2001 vs. 2004, adjusted Wald test). Compared with 2011 and 2012, the overall HRQOL scores increased in 2013 (p < 0.001 for 2011 vs. 2013, adjusted Wald test). These findings were also confirmed with the changes from the original CDC HRQOL-4 questions (Additional file 1 shows results of CDC HRQOL-4 changes for 2001 vs. 2004, and 2011 vs. 2013).Fig. 3

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