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nif:beginIndex
  • 0 (xsd:integer)
nif:broaderContext
nif:endIndex
  • 424 (xsd:integer)
nif:isString
  • In order to estimate the effects of the socio-demographic data (gender, age, marital status, education, social class, urban/rural destination), social variables (partnership/the medical issues (UICC status, time since diagnosis), comorbidity (PHQ-9, GAD-7) and psychosocial variables (scales of the MFI, Brief COPE, ISSS; EORTC-Symptoms, EORTC-Global Health) on the care needs (HQ-S), a logistic regression model was fitted.
rdf:type