International journal of cardiology · 2016
Factors related to the evolution of Health Related Quality of Life in coronary patients. A longitudinal approach using Weighted Generalized Estimating Equations with missing data.
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Salazar A, Dueñas M, Fernandez-Palacin F, Failde I
Аннотация
BACKGROUND: The aim is to know the factors related to the evolution of Health Related Quality of Life (HRQL) in Coronary Patients (CP) from a longitudinal perspective using an appropriate method that handles missing data adequately when the mechanism of missingness is uncertain.
METHODS: Prospective study with repeated measures at baseline, 3 and 6months. 250 patients with acute myocardial infarction or unstable angina were studied. Sociodemographic and clinical data were collected at baseline. Mental health (GHQ-28) and HRQL (SF-36v1) were assessed during the follow-up. The missingness mechanism was tested. Friedman test and partial eta-squared were used to analyse changes in SF-36 scores and WGEE were used to identify the predictors of the evolution of HRQL.
RESULTS: 95 dropped out after 3months and 72 after 6months. The missingness was likely to be at random. All the dimensions of the SF-36 improved over time, except PF. The factors related to the evolution of HRQL were: being woman (B=-23.9 in RE; B=-6.9 in MCS), older age (B=-0.5 in BP; B=-0.3 in VT), being single/separated (B=-14.5 in GH; B=-14.1 in SF; B=-23.3 in MH) and widow(er) (B=-23.2 PF; B=-29.8 in SF), hypertensive (B=-19.8 in RP; B=-8.9 in VT), worse mental health (B=-3 in PF; B=-2.8 in RP; B=-3.1 in BP; B=-1.2 in PCS; B=-3.8 in VT; B=-2.6 in SF), previous history of CHD (B=-12.5 in PF; B=-5.2 in PCS), and performing heart-healthy physical activities (B=13.9 in PF).
CONCLUSIONS: HRQL improves over time. A global approach, including age, marital status, performing physical activities or hypertension, is required to improve HRQL in CP.
METHODS: Prospective study with repeated measures at baseline, 3 and 6months. 250 patients with acute myocardial infarction or unstable angina were studied. Sociodemographic and clinical data were collected at baseline. Mental health (GHQ-28) and HRQL (SF-36v1) were assessed during the follow-up. The missingness mechanism was tested. Friedman test and partial eta-squared were used to analyse changes in SF-36 scores and WGEE were used to identify the predictors of the evolution of HRQL.
RESULTS: 95 dropped out after 3months and 72 after 6months. The missingness was likely to be at random. All the dimensions of the SF-36 improved over time, except PF. The factors related to the evolution of HRQL were: being woman (B=-23.9 in RE; B=-6.9 in MCS), older age (B=-0.5 in BP; B=-0.3 in VT), being single/separated (B=-14.5 in GH; B=-14.1 in SF; B=-23.3 in MH) and widow(er) (B=-23.2 PF; B=-29.8 in SF), hypertensive (B=-19.8 in RP; B=-8.9 in VT), worse mental health (B=-3 in PF; B=-2.8 in RP; B=-3.1 in BP; B=-1.2 in PCS; B=-3.8 in VT; B=-2.6 in SF), previous history of CHD (B=-12.5 in PF; B=-5.2 in PCS), and performing heart-healthy physical activities (B=13.9 in PF).
CONCLUSIONS: HRQL improves over time. A global approach, including age, marital status, performing physical activities or hypertension, is required to improve HRQL in CP.