title: Demographic and disease characteristics associated with non-hodgkin lymphoma survivors' quality of life: does age matter?
abstract: OBJECTIVE
  To examine demographic and disease characteristics by age and the moderating effect of age on quality of life (QOL) among non-Hodgkin lymphoma (NHL) survivors.
  
  
  METHODS
  A cross-sectional, secondary analysis study of NHL survivors.
  
  
  METHODS
  Two North Carolina cancer registries.
  
  
  METHODS
  741 NHL survivors with a mean age of 62 years and a mean time since diagnosis of 10 years.
  
  
  METHODS
  Mailed surveys were sent to individuals treated for NHL. All analyses were conducted using SPSS®, version 18.0. Multiple regression was used to analyze relationships among demographic and disease characteristics, age, and QOL.
  
  
  METHODS
  Demographic, disease, and clinical characteristics on QOL.
  
  
  RESULTS
  In relation to QOL, income and gender were moderated by age; for example, younger survivors who earned less than $30,000 annually had a poorer QOL. Women reported a higher QOL than men.
  
  
  CONCLUSIONS
  Age was a moderator for income and an indicator for how income could affect care of younger survivors. Men reported a lower QOL than women and gender-specific resources may be helpful to them.
  
  
  CONCLUSIONS
  Nursing research should focus on age-sensitive resources targeted for younger NHL survivors.
  
  
  CONCLUSIONS
  Age is an important characteristic that impacts overall health-related QOL. Oncology nurses are instrumental in identifying patients at all ages who could benefit from age-specific resources.
authors: Department of Health Policy and Management, School of Nursing, University of North Carolina at Chapel Hill, NC, USA. anleak@email.unc.edu,
authors: Ashley
authors: A
authors: Leak
authors: Sophia K
authors: SK
authors: Smith
authors: Jamie
authors: J
authors: Crandell
authors: Coretta
authors: C
authors: Jenerette
authors: Donald E
authors: DE
authors: Bailey
authors: Sheryl
authors: S
authors: Zimmerman
authors: Deborah K
authors: DK
authors: Mayer
mesh_terms: D000223:Adaptation, Psychological; D017677:Age Distribution; D000368:Aged; D015897:Comorbidity; D003430:Cross-Sectional Studies; D005260:Female; D006306:Health Surveys; D006801:Humans; D008228:Lymphoma, Non-Hodgkin / Q000453:epidemiology / Q000451:nursing / Q000523:psychology*; D008297:Male; D008875:Middle Aged; D009657:North Carolina / Q000453:epidemiology; D009859:Oncology Nursing; D011788:Quality of Life / Q000523:psychology*; D012042:Registries / Q000706:statistics & numerical data; D012044:Regression Analysis; D017678:Sex Distribution; D017741:Survivors / Q000523:psychology* / Q000706:statistics & numerical data