Literature DB >> 22808623

Caregivers' retirement congruency: a case for caregiver support.

Aine M Humble1, Janice M Keefe, Greg M Auton.   

Abstract

Using the concept of retirement congruency (RC), which takes into account greater variation in retirement decisions (low, moderate, or high RC) than a dichotomous conceptualization (forced versus chosen), multinomial logistic regression was conducted on a sample of caregivers from the 2002 Canadian General Social Survey who were retired from employment (n=700). Different variables increased the risk of having low and moderate RC, when both were compared to high RC. Factors predicting low RC (versus moderate RC), were similar but not identical to those predicting low RC (versus high RC). Retiring for health reasons and job problems were significant in all three comparisons. Retiring to give care only increased the probability of having moderate RC, compared to high RC, indicating that many employed caregivers who voluntarily retired because ofcaregiving responsibilities still expressed a desire to have remained in the labor force. Results raise questions about which policy domain-income security or labor-is most appropriate within this context.

Entities:  

Mesh:

Year:  2012        PMID: 22808623     DOI: 10.2190/AG.74.2.b

Source DB:  PubMed          Journal:  Int J Aging Hum Dev        ISSN: 0091-4150


  3 in total

1.  The early retiree divests the health workforce: a quantitative analysis of early retirement among Canadian Registered Nurses and allied health professionals.

Authors:  Sarah Hewko; Trish Reay; Carole A Estabrooks; Greta G Cummings
Journal:  Hum Resour Health       Date:  2019-07-05

2.  High turnover in clinical dietetics: a qualitative analysis.

Authors:  Sarah Hewko; Amirah Oyesegun; Samantha Clow; Charlene VanLeeuwen
Journal:  BMC Health Serv Res       Date:  2021-01-06       Impact factor: 2.655

3.  Factors associated with informal caregiving and its effects on health, work, and social activities of adult informal caregivers in Malaysia: findings from the National Health and Morbidity Survey 2019.

Authors:  Yuke-Lin Kong; Jailani Anis-Syakira; Suhana Jawahir; Yeung R'ong Tan; Noor Hasidah Ab Rahman; Ee Hong Tan
Journal:  BMC Public Health       Date:  2021-06-01       Impact factor: 3.295

  3 in total

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