Subtypes of Transitions into a Family Caregiving Role: A Latent Class Analysis
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2024-04
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<jats:p> This paper groups persons who have transitioned into family caregiving using a latent class analysis and examines class differences on measures of well-being. Latent classes were identified for a sample of 251 participants who became family caregivers while participating in a longitudinal national study, and linear regression analyses compared average well-being change scores across classes. Fit indices supported a four-class solution dispersed along two conceptual dimensions: caregiving intensity and caregiving stain. The largest class (35.5%) was characterized as low intensity, low strain. The smallest class (12.7%) was characterized as high intensity, high strain, and these caregivers had significantly worse well-being change scores compared to the other caregiving classes. Categorizing caregivers by differing levels of care intensity and caregiving strain helps identify caregivers who are at most risk for poor psychosocial outcomes, determines which caregivers might benefit from specific caregiver support programs, and informs investigators on possible refinements to interventions. </jats:p>
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Brantner, Carly L, John P Bentley and David L Roth (2024). Subtypes of Transitions into a Family Caregiving Role: A Latent Class Analysis. Journal of Applied Gerontology, 43(4). pp. 374–385. 10.1177/07334648231210680 Retrieved from https://hdl.handle.net/10161/31327.
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Carly Brantner
Carly L. Brantner, PhD, joined the Department of Biostatistics and Bioinformatics and the Duke Clinical Research Institute in 2024. She is both a methodological and collaborative biostatistician. Her methodological background primarily centers around causal inference, focusing on developing and adapting machine learning methods to integrate multiple data sources and estimate heterogeneous treatment effects. She is particularly interested in aiding efficient and effective personalized treatment decisions through robust statistical approaches. She is passionate about impacting health across many areas, including but not limited to female health, mental health, sport science, musculoskeletal systems and function, and aging.
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