Grimm, Kevin J.

Abstract Objectives There are striking differences among caregivers of people with dementia in their health and well-being during active caregiving and after caregiving has ended. A key factor influencing caregiver health is the emotional quality of the caregiver–care recipient relationship, which may be reflected in the emotional language caregivers use when describing this relationship. The present study assessed whether caregivers’ positive and negative language is associated with their current and future depression trajectories. Methods Active caregivers responded to an open-ended question about a recent time they felt connected to the care recipient. We summed the number of positive and negative emotion words and divided them by the total words in the response. We evaluated whether caregivers’ emotional language (a proxy for the emotional quality of the caregiver–care recipient relationship) was associated with their depression assessed both concurrently (N = 347 active caregivers) and longitudinally (N = 224 former caregivers). Results Neither positive nor negative emotional language significantly correlated with caregiver depression during active caregiving. Structural equation modeling revealed caregivers’ greater positive emotional language (accounting for baseline depression) was associated with less steep increases in depression after the care recipient’s death. Results were robust when accounting for negative emotional language and covariates. Negative emotional language was not significantly associated with changes in caregiver depression. Discussion Caregivers who use more positive words when describing their connection with the care recipient may be more resilient, underscoring the potential role of positive emotional qualities of the caregiving relationship in preserving caregivers’ mental health after caregiving ends.

Abstract Objectives Emotional impairments in people with dementia can be taxing for family caregivers. However, caregivers differ in their resilience to these challenges. We previously found that, compared to healthy controls and people with Alzheimer’s disease, people with frontotemporal lobar degeneration (FTLD) have smaller physiological responses when anticipating upcoming emotional stimuli. This impairment may leave these people with FTLD unprepared for upcoming emotional stimuli because they cannot mount responses needed for appropriate behaviors, which may create stress and difficulties for caregivers. We examined (a) whether smaller preparatory physiological responses in people with dementia are associated with lower emotional well-being and physical functioning in caregivers; and (b) whether these associations are moderated by the dyads’ relationship quality. Methods A total of 158 individuals with FTLD or Alzheimer’s disease and their family caregivers participated. Preparatory physiological responses in people with dementia were quantified as decreases in cardiac interbeat intervals from baseline to an instruction period, during which they were told they would be watching an upcoming emotional film. Caregivers self-reported their emotional well-being, physical functioning, and relationship quality with the people with dementia. Results Smaller preparatory physiological responses in people with dementia were associated with lower emotional well-being (but not physical functioning) in caregivers. This association was moderated by relationship quality (i.e., weakened for caregivers in higher-quality relationships). Discussion Findings advance understanding of risk and resilience factors for negative caregiver outcomes. Positive interpersonal processes in high-quality relationships (e.g., positive appraisal of aberrant behaviors) may buffer caregivers from the impact of emotional impairments in people with dementia.

Abstract Objective It is difficult to assess self-management behaviors (SMBs) and incorporate them into a personalized self-care plan. We aimed to develop and apply SMB phenotyping algorithms from data collected by diabetes devices and a mobile health (mHealth) application to create patient-specific SMBs reports to guide individualized interventions. Follow-up interventions aimed to understand patient's reasoning behind discovered SMB choices. Methods This study deals with adults on continuous subcutaneous insulin infusion using a continuous glucose monitor (CGM) who self-tracked SMBs with an mHealth application for 1 month. Patient-generated data were quantified and an SMB report was designed and populated for each participant. A diabetes educator used the report to conduct personalized, data-driven educational interventions. Thematic analysis of the intervention was conducted. Results Twenty-two participants recorded 118 alcohol, 251 exercise, 2,661 meal events, and 1,900 photos. A patient-specific SMB report was created from this data and used to conduct the educational intervention. High variability of SMB was observed between patients. There was variability in the percentage of alcohol events accompanied by a blood glucose check, median 79% (38–100% range), and frequency of changing the bolus waveform, median 11 (7–95 range). Interventions confirmed variability of SMBs. Main emerging themes from thematic analysis were: challenges and barriers, motivators, current SMB techniques, and future plans to improve glycemic control. Conclusion The ability to quantify SMBs and understand patients' rationale may help improve diabetes self-care and related outcomes. This study describes our first steps in piloting a patient-specific diabetes educational intervention, as opposed to the current “one size fits all” approach.

Abstract Objectives This article aims to evaluate adult type 1 diabetes mellitus (T1DM) self-management behaviors (SMBs) related to exercise and alcohol on a survey versus a smartphone app to compare self-reported and self-tracked SMBs, and examine inter- and intrapatient variability. Methods Adults with T1DM on insulin pump therapy were surveyed about their alcohol, meal, and exercise SMBs. For 4 weeks, participants self-tracked their alcohol, meal, and exercise events, and their SMBs corresponding with these events via an investigator-developed app. Descriptive statistics and generalized linear mixed-effect models were used to analyze the data Results Thirty-five participants self-tracked over 5,000 interactions using the app. Variability in how participants perceived the effects of exercise and alcohol on their blood glucose was observed. The congruity between SMBs self-reported on the survey and those self-tracked with the app was measured as mean (SD). The lowest congruity was for alcohol and exercise with 61.9% (22.7) and 66.4% (20.2), respectively. Congruity was higher for meals with 80.9% (21.0). There was significant daily intra- and interpatient variability in SMBs related to preprandial bolusing: recommended bolus, p < 0.05; own bolus choice, p < 0.01; and recommended basal adjustment, p < 0.01. Conclusion This study highlights the variability in intra- and interpatient SMBs obtained through the use of a survey and app. The outcomes of this study indicate that clinicians could use both one-time and every-day assessment tools to assess SMBs related to meals. For alcohol and exercise, further research is needed to understand the best assessment method for SMBs. Given this degree of patient variability, there is a need for an educational intervention that goes beyond the traditional “one-size-fits-all” approach of diabetes management to target individualized treatment barriers.