Search results - 8 results

Using random-forest multiple imputation to address bias of self-reported anthropometric measures, hypertension and hypercholesterolemia in the Belgian health interview survey

information included in the BELHES. Whenever feasible, combined information from HIS and objective measurements should be used in risk factor monitoring. Health Topics:  Obesity Obésité Obesitas Chronic disease ...

Polypharmacy and health-related quality of life/psychological distress among patients with chronic disease

medications concurrently) on health-related quality of life (HRQOL) and psychological distress in a combined sample of chronic disease patients and patients with multimorbidity, using diverse HRQOL measures. ...

The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey

disease combinations. Besides an additive effect, the presence of multiple conditions could also act synergistically or antagonistically regarding the impact on patients’ health-related quality of life (HRQ ...

Assessing polypharmacy in the older population: Comparison of a self‐reported and prescription based method

polypharmacy do not differ substantially by data source. Linking survey data with prescription data can combine the strengths of both data sources resulting in a better tool to explore polypharmacy at ...

Measuring disability-adjusted life years (DALYs) due to low back pain in Malta

for 2015 provided the LBP prevalence data through representative self-reported history of chronic LBP within the past 12 months in combination with limitations to daily activities. Proportions of LBP ...

Population vulnerability to COVID-19 in Europe: a burden of disease analysis

70 years and above; and (ii) rate of YLD for COVID-19 vulnerable health conditions across all ages. Bivariate groupings were established for each outcome and combined to establish overall ...

Development of a generic and open source Incidence-Prevalence-Mortality model for the assessment of chronic disease epidemiology

to other versions of DisMod. Furthermore, users are advised that they should not only rely on the R package alone, but they must combine the results with expert knowledge of the epidemiology of ...

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