Methods: While there are similarities in the demands of chronic caregiving, there are also important differences related to the population under study, thus the data from a study of FCGs of persons with HF will be used as an exemplar. The participants in this study were HF FCGs (n=127, mean age 55.3 ± 11.5 years, primarily women, majority African American (AA). Caregiver burden was moderately high, and around a third reported they provided care for others in addition to the person with HF. Variables and measures were demographic factors, FCG health status, depressive symptoms (CES-D), family functioning (FAD), social support, caregiving demands (Oberst Caregiving Demands, caregiver strain [CS], and behavioral factors of physical activity and sleep quality (PSQI). The 5-HTTLPR genotype was also measured in a subset of participants. Stepwise variable selection was used to identify the best predictors of CES-D scores and to inform construction of regression models for the total sample and the 5-HTTLPR genotypes of XL/L and any S (L/S, S/S) allele groups separately.
Results: At baseline prior to intervention, approximately 41.7% of the HF FCGs scored > 16 on the CES-D indicating significant depressive symptoms. Factors with significant relationships (p<.05) with CES-D scores included measures representing burden (caring for others, Oberst, mental and physical CS Caregiving Demands), health and health behavior (the FCG health rating and PSQI scores), the social context (family function, social support). Regression models accounted for a moderate amount (p<.001) of the variability in CES-D scores with PSQI (p<.001), Oberst (p=.006), FAD (p=.005), caring for others (p=.003), and African American race (p=.016) significant as predictors. African Americans had lowered overall CES-D scores than White participants. In the 5-HTTLPR sub-analyses, family function and sleep were the only significantly associated factors with CES-D in the XL/L group. For the any S group, caring for others, and greater mental strain were significantly associated with CES-D scores.
Conclusion: Although in a smaller subset analysis of the sample, for HF FCGs in the XL/LL genotype group, caregiver demands/strain had less effect on depressive symptoms and more effect from their social context of family functioning and health behavior or poor sleep. On the other hand, burden/strain significantly affected the any S type group with higher depressive symptoms. These data support the likelihood that allele variants of the 5-HTTLPR may interact with caregiving burden to predict depressive symptoms differentially. While not modifiable, knowledge of a FCGs 5-HTTLPR allele combination could be used to highlight those likely to be at higher risk for depressive symptoms in the context of high caregiving demand. Greater depressive symptoms in HF FCGs overall were predicted by worse sleep quality, greater burden, and worse family functioning with AAs having lower depressive symptoms. The implications of the omic data in terms of ethics, and use in special populations defined by age, gender and race/ethnicity should be considered. Interactions between genotype and caregiving demand may help identify caregivers at greater risk for depressive symptoms such that earlier diagnosis of depressive symptoms in the context of intense caregiving and more focused interventions can be provided.