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Comparing a disease-specific and a generic health-related quality of life instrument in subjects with asthma from the general population.

Puhan MA, Gaspoz JM, Bridevaux PO, Schindler C, Ackermann-Liebrich U, Rochat T, Gerbase MW - Health Qual Life Outcomes (2008)

Bottom Line: The AQLQ showed pronounced ceiling effects with all median domain scores above 6 (scores varied from 1-7).For the SF-36, ceiling effects were present in 5 out of 8 domains.Both instruments are limited by ceiling effects, but they appear less pronounced in the SF-36, which also shows a better discrimination between different aspects of HRQL.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Internal Medicine, Division of Pulmonary Medicine, University Hospitals of Geneva, CH-1211 Geneva 14, Switzerland. milo.puhan@usz.ch

ABSTRACT

Background: Few epidemiologic studies have assessed health-related quality of life (HRQL) of asthma patients from a general population and it is unclear which instrument is best suitable for this purpose. We investigated the validity of the Asthma Quality of Life Questionnaire (AQLQ) and the SF-36 completed by individuals with asthma from the population-based SAPALDIA (Swiss study on air pollution and lung diseases in adults) cohort.

Methods: The study included 258 participants with a physician-diagnosed asthma who had completed the AQLQ and SF-36. We assessed floor and ceiling effects, internal consistency reliability and cross-sectional validity with a priori hypotheses that correlations between the specific HRQL domains (e.g. "symptoms" or "physical functioning") and the corresponding external validation measures (respiratory symptoms, need for doctor visits, limitation in activities due to asthma and lung function) would capture similar aspects and be correlated moderately (> or = 0.3) to strongly (> or = 0.5), whereas non-corresponding domains be correlated weakly with each other (<0.3).

Results: The AQLQ showed pronounced ceiling effects with all median domain scores above 6 (scores varied from 1-7). For the SF-36, ceiling effects were present in 5 out of 8 domains. Cronbach's alpha was >0.7 for all AQLQ and SF-36 domains. Correlations between the AQLQ domains "respiratory symptoms", "activity limitation" and "environmental exposure", and the validation measures ranged from 0.29-0.57. Correlations between the "emotional function" domain and the validation measures were also in this range (0.31-0.55) and not as low as we hypothesized. For the SF-36, correlations between "physical functioning" and "role physical", and the validation measures ranged from 0.25-0.56, whereas "role emotional" and "mental health" correlated with these measures from 0.01-0.23.

Conclusion: The AQLQ and the SF-36 showed fairly good internal consistency. Both instruments are limited by ceiling effects, but they appear less pronounced in the SF-36, which also shows a better discrimination between different aspects of HRQL. The SF-36 may therefore be a more valid measure of HRQL than the AQLQ when applied to individuals with asthma from the general population.

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Related in: MedlinePlus

Distribution of AQLQ and SF-36 domain scores. The figure shows the distributions of the respondents' AQLQ (Likert type scale from 1 to 7) and SF-36 scores (from 0 to 100). For the AQLQ all domain scores are left-skewed. For the SF-36, the "physical functioning", "role physical", "bodily pain", "social functioning" and "role emotional" domains are left-skewed. The "general health", "vitality" and "mental health" domains showed almost normal distributions.
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Figure 1: Distribution of AQLQ and SF-36 domain scores. The figure shows the distributions of the respondents' AQLQ (Likert type scale from 1 to 7) and SF-36 scores (from 0 to 100). For the AQLQ all domain scores are left-skewed. For the SF-36, the "physical functioning", "role physical", "bodily pain", "social functioning" and "role emotional" domains are left-skewed. The "general health", "vitality" and "mental health" domains showed almost normal distributions.

Mentions: For the AQLQ domains, median scores were all above 6 and more than 75% of all respondents had scores above 5 (Table 2). Figure 1 shows this pronounced ceiling effect. For the SF-36, ceiling effects were also present in the "physical functioning", "role physical", "bodily pain", "social functioning" and "role emotional" domains. The "general health", "vitality" and "mental health" domains showed almost normal distributions.


Comparing a disease-specific and a generic health-related quality of life instrument in subjects with asthma from the general population.

Puhan MA, Gaspoz JM, Bridevaux PO, Schindler C, Ackermann-Liebrich U, Rochat T, Gerbase MW - Health Qual Life Outcomes (2008)

Distribution of AQLQ and SF-36 domain scores. The figure shows the distributions of the respondents' AQLQ (Likert type scale from 1 to 7) and SF-36 scores (from 0 to 100). For the AQLQ all domain scores are left-skewed. For the SF-36, the "physical functioning", "role physical", "bodily pain", "social functioning" and "role emotional" domains are left-skewed. The "general health", "vitality" and "mental health" domains showed almost normal distributions.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2279107&req=5

Figure 1: Distribution of AQLQ and SF-36 domain scores. The figure shows the distributions of the respondents' AQLQ (Likert type scale from 1 to 7) and SF-36 scores (from 0 to 100). For the AQLQ all domain scores are left-skewed. For the SF-36, the "physical functioning", "role physical", "bodily pain", "social functioning" and "role emotional" domains are left-skewed. The "general health", "vitality" and "mental health" domains showed almost normal distributions.
Mentions: For the AQLQ domains, median scores were all above 6 and more than 75% of all respondents had scores above 5 (Table 2). Figure 1 shows this pronounced ceiling effect. For the SF-36, ceiling effects were also present in the "physical functioning", "role physical", "bodily pain", "social functioning" and "role emotional" domains. The "general health", "vitality" and "mental health" domains showed almost normal distributions.

Bottom Line: The AQLQ showed pronounced ceiling effects with all median domain scores above 6 (scores varied from 1-7).For the SF-36, ceiling effects were present in 5 out of 8 domains.Both instruments are limited by ceiling effects, but they appear less pronounced in the SF-36, which also shows a better discrimination between different aspects of HRQL.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Internal Medicine, Division of Pulmonary Medicine, University Hospitals of Geneva, CH-1211 Geneva 14, Switzerland. milo.puhan@usz.ch

ABSTRACT

Background: Few epidemiologic studies have assessed health-related quality of life (HRQL) of asthma patients from a general population and it is unclear which instrument is best suitable for this purpose. We investigated the validity of the Asthma Quality of Life Questionnaire (AQLQ) and the SF-36 completed by individuals with asthma from the population-based SAPALDIA (Swiss study on air pollution and lung diseases in adults) cohort.

Methods: The study included 258 participants with a physician-diagnosed asthma who had completed the AQLQ and SF-36. We assessed floor and ceiling effects, internal consistency reliability and cross-sectional validity with a priori hypotheses that correlations between the specific HRQL domains (e.g. "symptoms" or "physical functioning") and the corresponding external validation measures (respiratory symptoms, need for doctor visits, limitation in activities due to asthma and lung function) would capture similar aspects and be correlated moderately (> or = 0.3) to strongly (> or = 0.5), whereas non-corresponding domains be correlated weakly with each other (<0.3).

Results: The AQLQ showed pronounced ceiling effects with all median domain scores above 6 (scores varied from 1-7). For the SF-36, ceiling effects were present in 5 out of 8 domains. Cronbach's alpha was >0.7 for all AQLQ and SF-36 domains. Correlations between the AQLQ domains "respiratory symptoms", "activity limitation" and "environmental exposure", and the validation measures ranged from 0.29-0.57. Correlations between the "emotional function" domain and the validation measures were also in this range (0.31-0.55) and not as low as we hypothesized. For the SF-36, correlations between "physical functioning" and "role physical", and the validation measures ranged from 0.25-0.56, whereas "role emotional" and "mental health" correlated with these measures from 0.01-0.23.

Conclusion: The AQLQ and the SF-36 showed fairly good internal consistency. Both instruments are limited by ceiling effects, but they appear less pronounced in the SF-36, which also shows a better discrimination between different aspects of HRQL. The SF-36 may therefore be a more valid measure of HRQL than the AQLQ when applied to individuals with asthma from the general population.

Show MeSH
Related in: MedlinePlus