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

Sofia Humboldt (), Francis Carneiro and Isabel Leal
Additional contact information
Sofia Humboldt: ISPA – Instituto Universitário
Francis Carneiro: ISPA – Instituto Universitário
Isabel Leal: ISPA – Instituto Universitário

Applied Research in Quality of Life, 2019, vol. 14, issue 2, No 9, 459 pages

Abstract: 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

Keywords: Adjustment to aging; Breast cancer remission; Older women; Predictors; Structural equation modeling (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11482-018-9622-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ariqol:v:14:y:2019:i:2:d:10.1007_s11482-018-9622-3

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11482

DOI: 10.1007/s11482-018-9622-3

Access Statistics for this article

Applied Research in Quality of Life is currently edited by Daniel Shek

More articles in Applied Research in Quality of Life from Springer, International Society for Quality-of-Life Studies
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().