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A Structural Model for Adjustment to Aging among Older Women in Breast Cancer Remission

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  • Sofia Humboldt

    (ISPA – Instituto Universitário)

  • Francis Carneiro

    (ISPA – Instituto Universitário)

  • Isabel Leal

    (ISPA – Instituto Universitário)

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 health-related 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

Suggested Citation

  • Sofia Humboldt & Francis Carneiro & Isabel Leal, 2019. "A Structural Model for Adjustment to Aging among Older Women in Breast Cancer Remission," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(2), pages 441-459, April.
    • Handle: RePEc:spr:ariqol:v:14:y:2019:i:2:d:10.1007_s11482-018-9622-3
    DOI: 10.1007/s11482-018-9622-3
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