Demographic and disease characteristics associated with non-hodgkin lymphoma survivors' quality of life: does age matter?

Oncol Nurs Forum. 2013 Mar;40(2):157-62. doi: 10.1188/13.ONF.157-162.

Abstract

Purpose/objectives: 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.

Design: A cross-sectional, secondary analysis study of NHL survivors.

Setting: Two North Carolina cancer registries.

Sample: 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.

Main research variables: Demographic, disease, and clinical characteristics on QOL.

Findings: 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.

Implications for nursing: Nursing research should focus on age-sensitive resources targeted for younger NHL survivors.

Knowledge translation: 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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adaptation, Psychological
  • Age Distribution
  • Aged
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • Health Surveys
  • Humans
  • Lymphoma, Non-Hodgkin / epidemiology
  • Lymphoma, Non-Hodgkin / nursing
  • Lymphoma, Non-Hodgkin / psychology*
  • Male
  • Middle Aged
  • North Carolina / epidemiology
  • Oncology Nursing
  • Quality of Life / psychology*
  • Registries / statistics & numerical data
  • Regression Analysis
  • Sex Distribution
  • Survivors / psychology*
  • Survivors / statistics & numerical data