Add like
Add dislike
Add to saved papers

Typology of family caregivers of older persons: A latent profile analysis using elder mistreatment risk and protective factors.

This study sought to identify subpopulations of caregivers of older persons based on their profiles of individual characteristics and caregiving contexts and aimed at examining the associations between caregiver profiles and elder mistreatment. A convenient sample of 600 adult caregivers of community-dwelling older people in Hong Kong participated. Results of latent profile analysis support a typology of 3 distinctive caregiver profiles: (a) non-vulnerable caregivers; (b) isolated, vulnerable caregivers; and (c) traumatized, vulnerable caregivers. Isolated and traumatized caregivers reported greater risk factors related to elder mistreatment: They had higher levels of caregiver stress and burden, lower levels of social support and resilience, greater neurotic personality orientation and problematic gambling behavior, and more severe childhood traumatic experiences. The two groups also display significantly higher level of abusive behaviors than non-vulnerable caregivers.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2025 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app