Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/30608
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorCosta, Andrew-
dc.contributor.authorKabir, Humayun-
dc.date.accessioned2024-11-26T19:36:05Z-
dc.date.available2024-11-26T19:36:05Z-
dc.date.issued2024-
dc.identifier.urihttp://hdl.handle.net/11375/30608-
dc.description.abstractBackground: As of January 2024, 6.2 million seniors make up 18% of the population of Canada, and it is expected to have an impact on healthcare demand and cost. Seniors may face economic challenges in affording healthcare, particularly while choosing formal home care or transitioning to seniors’ housing. This study investigated the association between economic status and transitions to seniors’ housing among seniors in Canada. Methods: This retrospective longitudinal analysis used data from the Canadian Longitudinal Study on Aging, including 50919 seniors. The primary outcome was the transition from own homes to seniors’ housing, with "total savings and investments" as the primary exposure of interest. The potential co-variates included age, sex, number of people living with the participant, general health status, eyesight rating, social support availability, received formal home care, ADL (activities of daily living) impairment, and chronic diseases. The statistical analyses included descriptive statistics such as frequencies, percentages, mean, and standard deviation and the inferential statistics included bivariate and multivariable Generalized Estimating Equation (GEE) models. Results: We observed that the incidence of transitions to seniors' housing was 1.12% (n=522) at Time Point 1 (2015-2018), increasing to 1.49% (n=590) at Time Point 2 (2018-2022). Time Point 1 represented the baseline and first follow-up of the CLSA, while Time Point 2 represented the first follow-up of CLSA as its baseline and the second follow-up of CLSA as its follow-up. At Time Point 1, the average age for individuals who experienced a transition was 76.50 years (SD = 7.50), while the average age for those who did not transition was 62.30 years (SD = 10.10). At Time Point 2, the average age for the transition group was 78.70 years (SD = 7.50), while the average age for the non-transition group was 65.10 years (SD = 9.70). Females had higher transitions at Time Point 1 (60.334%) and Time Point 2 (64.01%). Our main GEE model showed that the seniors with higher economic status had lower odds of transitioning to the seniors’ housing compared to those with lower economic status. We found that the increase in age, living alone, poor health status, living in certain provinces, receiving formal home care, ADL impairment, and having chronic diseases were significantly associated with higher odds of transition. In contrast, social support availability and better eyesight ratings were associated with lower odds of transitioning. In our provincial model, we also found that the seniors living in Alberta and Quebec with higher economic status had significantly lower odds of transitioning. In British Columbia, higher economic status was associated with lower odds of transitioning, although these findings were not statistically significant. On the other hand, in Ontario, higher economic status was associated with higher odds of transitioning, but this was also not statistically significant. Conclusion: The higher economic status was significantly associated with lower odds of transitioning to seniors’ housing in the overall sample, but these findings were not consistent at the provincial level, highlighting the differential importance of financial resources in enabling Canadians to transition to seniors’ housing. These findings underscore the need for policies addressing financial inequalities in seniors’ housing across Canada.en_US
dc.language.isoenen_US
dc.subjectAgingen_US
dc.subjectPolicyen_US
dc.subjectSeniorsen_US
dc.subjectEconomic statusen_US
dc.subjectCLSAen_US
dc.subjectHousingen_US
dc.subjectHealthen_US
dc.subjectCanadaen_US
dc.titleEconomic Status and Transitions to Seniors’ Housing: An Analysis Using the Canadian Longitudinal Study on Agingen_US
dc.typeThesisen_US
dc.contributor.departmentHealth Research Methodologyen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Health Sciences (MSc)en_US
dc.description.layabstractAs of January 2024, there are 6.2 million seniors in Canada, making up 18% of the population. This substantial demographic shift could influence the demand for healthcare services and the economic stability of the country. Many seniors face economic constraints when it comes to affording healthcare services, especially when deciding between getting formal home care or transitioning to seniors' housing. In this study, we investigated how the economic status of seniors influences their transition to seniors' housing in Canada. We used data from the Canadian Longitudinal Study on Aging (CLSA), which follows up on aging and health among Canadians over time. Our research investigated how economic status and socio-demographic, functional, and health-related characteristics impact the transition to seniors’ housing among Canadian seniors. We found that seniors with higher economic status were less likely to transition to seniors' housing compared to those with lower economic status. However, we found a significant variation in the association between economic status and the transition to seniors’ housing at the provincial level. CLSA participants were more likely to transition to seniors' housing as they were older, lived alone, had poor health, needed formal home care, had impaired activities of daily living, or had chronic diseases. CLSA participants with available social support and adequate eyesight were less likely to transition to seniors' housing. Although socio-demographic, functional, and health-related characteristics were consistently associated with the transitions to seniors’ housing across Canada, economic status was inconsistent at the provincial levels. These findings suggest that seniors’ housing is designed/geared to various economic strata across provinces. Further research and policy should address economic inequality in access to seniors’ housing.en_US
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File Description SizeFormat 
Kabir_Humayun_202411_MSc.pdf
Open Access
1.16 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue