Age as a moderator for the association between depression and self-rated health among cancer survivors: a U.S. based population study

J Psychosoc Oncol. 2023;41(4):377-392. doi: 10.1080/07347332.2022.2124393. Epub 2022 Sep 26.

Abstract

Background: Self-rated health (SRH) is a salient outcome for cancer survivors. Although depression is a well-studied correlate with SRH, few studies have focused on the role of cancer survivors' age on the association between depression and SRH. This study evaluates demographic and psychosocial factors associated with cancer survivors' SRH. We also assess the moderating role of age to the association between depression and SRH.

Materials and methods: This paper analyzed 2,470 U.S. cancer survivors from the 2019 National Health Interview Survey. Two ordered logistic regression models with complex survey weights were used for analyses. Missing data was addressed using multiple imputations by chained equations.

Results: Being female, higher education and higher income were positively associated with better SRH. While the relationship between higher education and higher income was consistent with previous findings, the positive association between being female and SRH was different from previous studies. Age significantly moderated the association between depression and SRH, evidenced by results of the joint tests of all interaction term coefficients being statistically significant, F(2, 544.6) = 5.13, p < 0.01.

Conclusions: The findings of the study highlighted the significance of screening for social determinants of health and health disparity when supporting cancer survivors. Additionally, findings of this study emphasized the significance of adopting an age-specific approach when evaluating and addressing depression across different age groups of cancer survivors.

Keywords: age; cancer survivor; depression; moderation; self-rated health.

MeSH terms

  • Cancer Survivors*
  • Depression / epidemiology
  • Female
  • Health Status
  • Humans
  • Male
  • Neoplasms* / therapy
  • Research Design