A Structural model for adjustment to aging among older women in breast cancer remission

Abstract

This study aims to build a structural model to explore the predictors of adjustment to aging (AtA) reported by older women in breast cancer remission. A community-dwelling sample of 771 older women in breast cancer remission aged between 75 and 98 years answered a questionnaire to determine socio-demographic (age, income, marital status, education, household, and living setting), and healthrelated characteristics (self-reported functional limitations and disabilities, time since remission, other type of cancer, breast reconstruction, perceived health, recent disease and medication). Several measures were employed to assess AtA, sense of coherence and subjective well-being. Structural equation modeling was used to explore a structural model of the self-reported AtA, encompassing all variables. Significant predictors of AtA are self-reported disability (β = .404; p < .001), time since remission (β = .371; p < .001), perceived health (β = .257; p < .001), other type of cancer (β = .231; p < .001), breast reconstruction (β = .153; p = .008), marital status (β = .141; p < .001), sense of coherence (β = .140; p < .001), and living setting (β = .139; p = .006). These variables accounted for 84.3% of the variability of AtA. Self-reported disability and time since remission were the strongest predictors of AtA. Our findings suggest that health care interventions with older women in breast cancer remission still living in the community may benefit from clearly including these predictors of AtA, as they are relevant for promoting older women’ s aging well.