Ontology highlight
ABSTRACT:
SUBMITTER: Brinkhues S
PROVIDER: S-EPMC5892426 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature
Brinkhues S S van Kuijk S M J SMJ Hoebe C J P A CJPA Savelkoul P H M PHM Kretzschmar M E E MEE Jansen M W J MWJ de Vries N N Sep S J S SJS Dagnelie P C PC Schaper N C NC Verhey F R J FRJ Bosma H H Maes J J Schram M T MT Dukers-Muijrers N H T M NHTM
Epidemiology and infection 20170926 5
The ability to predict upper respiratory infections (URI), lower respiratory infections (LRI), and gastrointestinal tract infections (GI) in independently living older persons would greatly benefit population and individual health. Social network parameters have so far not been included in prediction models. Data were obtained from The Maastricht Study, a population-based cohort study (N = 3074, mean age (±s.d.) 59.8 ± 8.3, 48.8% women). We used multivariable logistic regression analysis to deve ...[more]