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Longitudinal impact of demographic and clinical variables on health-related quality of life in cystic fibrosis.

Abbott J, Morton AM, Hurley MA, Conway SP - BMJ Open (2015)

Bottom Line: The results of random coefficients modelling indicated that demographic and clinical variables were identified as being significant for HRQoL over time.Demographic and changes in clinical variables were independently associated with a change in HRQoL over time.Compared with these longitudinal data, cross-sectional data are inadequate when evaluating the relationships between HRQoL domains and key demographic and clinical variables, as they fail to recognise the full impact of the CF disease trajectory and its treatments on quality of life.

View Article: PubMed Central - PubMed

Affiliation: School of Psychology, University of Central Lancashire, Preston, UK.

No MeSH data available.


Related in: MedlinePlus

Coefficients from the multilevel models for five demographic and clinical variables. The limits show plus and minus one SE. Coefficients are not significant (blue bars), significant at the 10% level (yellow bars) and significant at the 5% level (red bars).
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BMJOPEN2014007418F2: Coefficients from the multilevel models for five demographic and clinical variables. The limits show plus and minus one SE. Coefficients are not significant (blue bars), significant at the 10% level (yellow bars) and significant at the 5% level (red bars).

Mentions: Each model for a domain of HRQoL included all demographic and clinical variables and the model coefficients are shown by variable in figures 1 and 2. Demographic and clinical variables which were significant at the 10% level were extracted and are presented in table 3 by HRQoL domain. The coefficients for age and FEV1% predicted were scaled (5 years increase and 10% decrease, respectively) to provide clinically meaning change since HRQoL changes slowly for these variables. In cross-sectional work, predominantly FEV1% predicted and transplant status were significantly associated with HRQoL.7–9 Longitudinally, in addition to lung function and transplant status, age, having a TIVAD, CFRD, BMI and B. cepacia complex were important for more than half of the HRQoL domains.


Longitudinal impact of demographic and clinical variables on health-related quality of life in cystic fibrosis.

Abbott J, Morton AM, Hurley MA, Conway SP - BMJ Open (2015)

Coefficients from the multilevel models for five demographic and clinical variables. The limits show plus and minus one SE. Coefficients are not significant (blue bars), significant at the 10% level (yellow bars) and significant at the 5% level (red bars).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4442198&req=5

BMJOPEN2014007418F2: Coefficients from the multilevel models for five demographic and clinical variables. The limits show plus and minus one SE. Coefficients are not significant (blue bars), significant at the 10% level (yellow bars) and significant at the 5% level (red bars).
Mentions: Each model for a domain of HRQoL included all demographic and clinical variables and the model coefficients are shown by variable in figures 1 and 2. Demographic and clinical variables which were significant at the 10% level were extracted and are presented in table 3 by HRQoL domain. The coefficients for age and FEV1% predicted were scaled (5 years increase and 10% decrease, respectively) to provide clinically meaning change since HRQoL changes slowly for these variables. In cross-sectional work, predominantly FEV1% predicted and transplant status were significantly associated with HRQoL.7–9 Longitudinally, in addition to lung function and transplant status, age, having a TIVAD, CFRD, BMI and B. cepacia complex were important for more than half of the HRQoL domains.

Bottom Line: The results of random coefficients modelling indicated that demographic and clinical variables were identified as being significant for HRQoL over time.Demographic and changes in clinical variables were independently associated with a change in HRQoL over time.Compared with these longitudinal data, cross-sectional data are inadequate when evaluating the relationships between HRQoL domains and key demographic and clinical variables, as they fail to recognise the full impact of the CF disease trajectory and its treatments on quality of life.

View Article: PubMed Central - PubMed

Affiliation: School of Psychology, University of Central Lancashire, Preston, UK.

No MeSH data available.


Related in: MedlinePlus