Network Analysis of Comorbid Depressive and Anxious Symptoms in Family Caregivers of People with Dementia.

OBJECTIVES

The aim of this study is an in-depth approach to depressive-anxious comorbidity in caregivers according to stress reactivity to disruptive behaviors using network analysis.

METHODS

The sample was composed of 317 primary family caregivers recruited through Day Care Centers and Neurology Services. The sample was split into low and high stress reactivity groups, based on their reports of reaction to disruptive behaviors. Depressive and anxious symptoms, daily hours dedicated to caregiving, time of caring, frequency of disruptive behaviors, co-residence, and kinship were also cross-sectionally measured.

RESULTS

The sample had a mean age of 62.38 years (SD = 12.97) and 68.5% were women. Regarding the network analysis, while the low reactivity group presents a sparse network, with no connection between anxious and depressive symptoms, the high reactivity group shows a high connection of intra and intercategory symptoms, with apathy, sadness, feeling depressed, and tension being the bridge symptoms between disorders.

CONCLUSIONS

Caregivers' stress reaction to disruptive behaviors might be a key factor for understanding comorbidity between depressive and anxious symptoms.

CLINICAL IMPLICATIONS

Tension, apathy, sadness, and feeling depressed should be clinical targets in the interventions, as they act as bridge symptoms between anxious and depressive symptomatology.