The effects of familism on intended care arrangements in the process of preparing for future care among one-child parents in urban China

Yajun Song, Chau Wai Elsie Yan, Silvia Sörensen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Guided by Sörensen and Pinquart's model of preparation for future care, this study investigated the relationship between familism and intended care arrangements. Ordinal logistic regression was performed on a sample of 516 urban Chinese one-child parents aged 45-65 with an equal gender ratio to examine the associations between five care expectations, familism (filial obligation and child gender) and future care planning constructs (awareness, information gathering and avoidance). Awareness and information gathering were positively associated with service-focused care arrangements. Avoidant planners were more inclined to rely on adult children. Participants with a stronger filial obligation had greater expectations for ageing at home with the aid of a spouse, siblings or helper. Child gender was not significantly associated with intended care arrangements. The model of preparation for future care was useful when predicting service-focused care arrangements. Familism was a powerful predictor of family-focused care arrangements. Females were more likely to rely on children regardless of child gender but less likely to rely on spouses and siblings. The study enriches researchers' understanding of urban Chinese older adults' intended care arrangements in the context of fading familism and single-child families.
Original languageEnglish
Pages (from-to)1416-1434
Number of pages19
JournalAgeing and Society
Volume37
Issue number7
DOIs
Publication statusPublished - 1 Aug 2017
Externally publishedYes

Keywords

  • Familism
  • intended care arrangement
  • preparation for future care

ASJC Scopus subject areas

  • Health(social science)
  • Social Psychology
  • Arts and Humanities (miscellaneous)
  • Geriatrics and Gerontology
  • Public Health, Environmental and Occupational Health

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