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BACKGROUND: Support interventions often address both self-care and coping. Different approaches are used to promote self-care and coping so clarifying the intervention effect can guide clinicians and researchers to provide interventions that achieve benefit. PURPOSE: To compare two models to determine whether self-care improves coping or coping improves self-care. METHODS: We used cross-sectional data from 248 caregivers obtained at enrollment into a randomized controlled trial testing the efficacy of a support intervention. Factor scores for scales measuring caregiver demand, self-care, coping, stress appraisal, and mental health were derived from exploratory factor analysis. Structural equation models were analyzed using the factor scores as estimates of each construct. To control possible spurious effects caregiver age, gender, relationship with the patient, and income adequacy were included. RESULTS: Both models were compatible with the data, but the self-care model was stronger than the coping model. That model had a non-significant chi square and an excellent fit to the data, χ2(4, N = 248) = 2.64, p = .62. The percentage of variance explained by the self-care model was 54 % for mental health, 42 % for stress appraisal, 10 % for avoidance coping, and 6 % for active coping. In the coping model the explained variance of stress appraisal dropped to 33 %, avoidance coping dropped to 0 %, and active coping dropped to 3 %. CONCLUSIONS: The self-care model was strongest, illustrating that self-care decreases stress, promotes coping, and improves mental health. These results suggest that promoting self-care may be more effective in improving mental health than interventions aimed at improving coping.

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We explored the influence of social determinants of health (SDH) risk on stress and coping style in heart failure (HF) caregivers. In this cross-sectional study, data from 250 caregivers were analyzed. Multivariable linear regression analyses were performed to determine the extent to which SDH risk (measured using a modified PRAPARE tool (National Association of Community Health Centers), range 0-22) predicted stress (Perceived Stress Scale, 0-56) and coping style (active (0-45), avoidance (0-30), and minimization (0-30)) while accounting for caregiver burden (HF Caregiver Questionnaire (HF-CQ) 0-100). Multivariable regression analysis with backwards elimination variable selection approach was used to identify which SDH risk factors best predicted coping styles. SDH risk was significantly associated with avoidance and minimization coping styles. Each unit increase in SDH risk was associated with an increase of 0.6 ± 0.2 units (p = .0008) in avoidance and 0.7 ± 0.2 units (p < .0001) in minimization coping style. Race and "supporting others" significantly predicted avoidance coping style; scores were 3.3 ± 0.8 units greater for caregivers who were not White (p < .0001) and 1.4 ± 0.5 units greater (p < .01) for each additional person whom they supported. Race significantly predicted minimization coping style; scores were 4.4 ± 0.7 units greater for caregivers who were not White (p < .0001). Caregivers with higher SDH risk may avoid and minimize to cope with caregiving challenges.

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OBJECTIVES: The Health Self-Care Neglect (HSCN) scale is a measure of self-care neglect developed for use in informal caregivers, where self-care is defined as behaviors undertaken to maintain health. There was no formal psychometric analysis of the scale, so we tested a 9-item, dichotomous-response version of the HSCN scale in a sample of 250 informal caregivers of adults with chronic heart failure. METHODS: As the indicators of self-care neglect were considered formative (influencing the latent variable directly) rather than reflective (influenced by the latent variable), we used a procedure for the specification of formative measurement models. First, maximally correlated composites of indicators were identified for the latent variable, and optimal scoring weights were developed. Then, the reflective factor was tested with confirmatory factor analysis, and longitudinal invariance of the factorial structure was tested by introducing model constraints. Reliability was assessed with composite reliability model-based estimates. Concurrent validity was assessed by correlating the HSCN scale total score with the maintenance scale score of the Self-Care Inventory. RESULTS: Strict invariance, the highest level possible, was achieved. Reliability was 0.81 at baseline. Concurrent validity was demonstrated (r = -0.475, P < .0001). CONCLUSION: The results of this analysis indicate that the HSCN scale is reliable, stable, and valid as a measure of health self-care neglect when tested in a sample of caregivers. The HSCN scale measures the successful performance of self-care, whereas existing measures of self-care reflect intention. Understanding both intention and behavior is useful, so we recommend using the HSCN scale in addition to existing measures of self-care.

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OBJECTIVE: To evaluate the discriminant and convergent validities of the Hypoglycemia Awareness Questionnaire Impaired Awareness (HypoA-Q IA) subscale and establish a diagnostic threshold for the classification of impaired awareness of hypoglycemia (IAH) in adults with type 1 diabetes (T1D). METHODS: Twenty-one adults with T1D (male, 48%; median age, 36 years; and T1D duration, 21 years) completed the HypoA-Q IA subscale, Clarke, and hypoglycemia severity (HYPO) scores, continuous glucose monitoring, and hyperinsulinemic hypoglycemic clamp testing. Those with IAH defined by a Clarke score of ≥4 (n = 10) and who experienced severely problematic hypoglycemia and/or marked glycemic lability started automated insulin delivery as part of an 18-month intervention study with the 6-monthly paired assessment of the HypoA-Q IA subscale, Clarke score, HYPO score and continuous glucose monitoring, and hypoglycemic clamp testing at baseline and 6 and 18 months. RESULTS: The HypoA-Q IA subscale discriminated between those with and without IAH defined by the Clarke score (W = 110.5; P <.001). During intervention, the HypoA-Q IA subscale demonstrated convergent validity via significant relationships with the Clarke (r = 0.72; P <.001) and HYPO (r = 0.60; P <.001) scores; hypoglycemia exposure below 70 (r = 0.53; P <.01), 60 (r = 0.50; P <.01), and 54 (r = 0.48; P <.01) mg/dL; and autonomic symptom (r = -0.53; P <.05), epinephrine (r = -0.68; P <.001), and pancreatic polypeptide (r = -0.52; P <.05) responses to insulin-induced hypoglycemia. The receiver operating characteristic curve analysis revealed that the HypoA-Q IA subscale was an excellent predictor of an abnormal symptom response to insulin-induced hypoglycemia (area under the curve, 0.86) with a score of 12, which was the optimal threshold for IAH classification (sensitivity, 83%; specificity, 80%). CONCLUSION: These findings support the validity of the HypoA-Q IA subscale and propose a HypoA-Q IA diagnostic threshold to identify IAH in both clinical and research settings.

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BACKGROUND: This study assessed changes in actigraphy-estimated sleep and glycemic outcomes after initiating automated insulin delivery (AID). METHODS: Ten adults with long-standing type 1 diabetes and impaired awareness of hypoglycemia (IAH) participated in an 18-month clinical trial assessing an AID intervention on hypoglycemia and counter-regulatory mechanisms. Data from eight participants (median age = 58 years) with concurrent wrist actigraph and continuous glucose monitoring (CGM) data were used in the present analyses. Actigraphs and CGM measured sleep and glycemic control at baseline (one week) and months 3, 6, 9, 12, 15, and 18 (three weeks) following AID initiation. HypoCount software integrated actigraphy with CGM data to separate wake and sleep-associated glycemic measures. Paired sample t-tests and Cohen's d effect sizes modeled changes and their magnitude in sleep, glycemic control, IAH (Clarke score), hypoglycemia severity (HYPO score), hypoglycemia exposure (CGM), and glycemic variability (lability index [LI]; CGM coefficient-of-variation [CV]) from baseline to 18 months. RESULTS: Sleep improved from baseline to 18 months (shorter sleep latency [P < .05, d = 1.74], later sleep offset [P < .05, d = 0.90], less wake after sleep onset [P < .01, d = 1.43]). Later sleep onset (d = 0.74) and sleep midpoint (d = 0.77) showed medium effect sizes. Sleep improvements were evident from 12 to 15 months after AID initiation and were preceded by improved hypoglycemia awareness (Clarke score [d = 1.18]), reduced hypoglycemia severity (HYPO score [d = 2.13]), reduced sleep-associated hypoglycemia (percent time glucose was < 54 mg/dL, < 60 mg/dL,< 70 mg/dL; d = 0.66-0.81), and reduced glucose variability (LI, d = 0.86; CV, d = 0.62). CONCLUSION: AID improved sleep initiation and maintenance. Improved awareness of hypoglycemia, reduced hypoglycemia severity, hypoglycemia exposure, and glucose variability preceded sleep improvements.This trial is registered with ClinicalTrials.gov NCT03215914 https://clinicaltrials.gov/ct2/show/NCT03215914.

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BACKGROUND: Interoception, the ability of the organism to sense, interpret, and regulate signals originating from within the body, plays an important role in how individuals perceive and respond to symptoms. However, there is scarce evidence on the role of interoception in the symptom experience of people with chronic conditions. AIM: To synthesize the role of interoception in the symptom experience of adults with a chronic condition. METHODS: Systematic review. We searched PubMed, Psychinfo, Embase, CINAHL, and Science Citation Index-Expanded. We included primary research (all study designs) addressing our study aim, published between 2013 and 2021, and measuring at least one dimension of interoception. Any chronic condition and any symptom were included. No language limits were applied. Only the adult population was included. RESULTS: We included 18 quantitative studies investigating the relationship between three interoceptive dimensions (i.e., accuracy, sensibility, awareness) and condition-specific symptoms in 8 chronic conditions. People with chronic conditions had lower interoceptive accuracy than healthy controls. Higher interoceptive sensibility was associated with lower symptom severity/frequency. Higher interoceptive accuracy was associated with lower symptom severity/frequency in half of the studies, while the other half reported the opposite. Only one study explored interoceptive awareness. CONCLUSION: Interoceptive accuracy is lower in patients with chronic conditions. Higher interoceptive sensibility is associated with lower symptom severity/frequency, but this relationship is unclear when it comes to interoceptive accuracy and awareness.

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Objective: Automated insulin delivery (AID) may benefit individuals with long-standing type 1 diabetes where frequent exposure to hypoglycemia impairs counterregulatory responses. This study assessed the effect of 18 months AID on hypoglycemia avoidance and glucose counterregulatory responses to insulin-induced hypoglycemia in long-standing type 1 diabetes complicated by impaired awareness of hypoglycemia. Methods: Ten participants mean ± standard deviation age 49 ± 16 and diabetes duration 34 ± 16 years were initiated on AID. Continuous glucose monitoring was paired with actigraphy to assess awake- and sleep-associated hypoglycemia exposure every 3 months. Hyperinsulinemic hypoglycemic clamp experiments were performed at baseline, 6, and 18 months postintervention. Hypoglycemia exposure was reduced by 3 months, especially during sleep, with effects sustained through 18 months (P ≤ 0.001) together with reduced glucose variability (P < 0.01). Results: Hypoglycemia awareness and severity scores improved (P < 0.01) with severe hypoglycemia events reduced from median (interquartile range) 3 (3-10) at baseline to 0 (0-1) events/person·year postintervention (P = 0.005). During the hypoglycemic clamp experiments, no change was seen in the endogenous glucose production (EGP) response, however, peripheral glucose utilization during hypoglycemia was reduced following intervention [pre: 4.6 ± 0.4, 6 months: 3.8 ± 0.5, 18 months: 3.4 ± 0.3 mg/(kg·min), P < 0.05]. There were increases over time in pancreatic polypeptide (Pre:62 ± 29, 6 months:127 ± 44, 18 months:176 ± 58 pmol/L, P < 0.01), epinephrine (Pre: 199 ± 53, 6 months: 332 ± 91, 18 months: 386 ± 95 pg/mL, P = 0.001), and autonomic symptom (Pre: 6 ± 2, 6 months: 6 ± 2, 18 months: 10 ± 2, P < 0.05) responses. Conclusions: AID led to a sustained reduction of hypoglycemia exposure. EGP in response to insulin-induced hypoglycemia remained defective, however, partial recovery of glucose counterregulation was evidenced by a reduction in peripheral glucose utilization likely mediated by increased epinephrine secretion and, together with improved autonomic symptoms, may contribute to the observed clinical reduction in hypoglycemia.

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BACKGROUND: Depressive symptoms predict hospitalization and mortality in adults with cardiac disease. Resilience, defined as a dynamic process of positively responding to adversity, could protect against depressive symptoms in cardiac disease. No systematic review has been conducted on the relationship between these variables in this population. OBJECTIVE: The aim of this review was to explore the association between psychological resilience and depressive symptoms in adults with cardiac disease. METHODS: Seven databases (PubMed, EMBASE, CINAHL, PsycInfo, Web of Science, SCOPUS, and Cochrane) were searched from inception to December 2019 using the search terms "cardiac disease," "depressive symptoms," "depression," and "resilience." Inclusion criteria dictated that studies reported original research on the association between resilience and depressive symptoms in adults with a cardiac disease broadly defined. Quality ratings were performed by 2 independent raters. RESULTS: We identified 13 studies for final review. Study sample sizes ranged from 30 to 1022 participants, average age ranged from 52 to 72 years, and all studies had majority male participants (64%-100%). Resilience and depressive symptoms were inversely related in 10 of 13 studies. The 3 studies with poor-quality sampling techniques or significant loss to follow-up found no relationship. CONCLUSIONS: Resilience seems to protect against depression in adults with cardiac disease. Gaps in the literature include poor understanding of the direction of causality. Methods of promoting resilience need to be identified and studied.

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AIMS: The study aims to review, synthesize and integrate primary research on the relationship between sleep and hypoglycaemia symptom perception in adults with type-1 diabetes. DESIGN: This mixed-methods review follows a convergent segregated approach to synthesis and integration of qualitative and quantitative evidence. DATA SOURCES: With assistance of a biomedical librarian, a search of four databases was conducted (PubMed, CINAHL, Embase and PsycINFO) in June 2020. The review included primary research measuring sleep and hypoglycaemia symptom perception in adults (age ≥ 18 years) with type-1 diabetes in English. Studies that exclusively addressed children, type-2 diabetes or outcomes unrelated to sleep and hypoglycaemia symptom perception were excluded. REVIEW METHODS: Screening focused on title and abstract review (n = 624). Studies not excluded after screening (n = 35) underwent full-text review. References of each study selected for inclusion (n = 6) were hand searched with one study added. All studies included in the review (n = 7) were critically appraised with JBI Critical Appraisal tools, and then data were extracted with systematic evaluation. RESULTS: Quantitative synthesis found sleep reduces the magnitude of detectable symptoms and one's capacity to detect them. Qualitative synthesis found that individuals with type-1 diabetes perceive unpredictable severity, frequency and awareness of symptoms while asleep as an oppressive, lingering threat. Integration of findings highlights the troublesome duality of sleep's relationship with hypoglycaemia symptom perception. CONCLUSIONS: Sleep presents a challenging time for individuals with type-1 diabetes. Further research examining the relationship between sleep and hypoglycaemia symptom perception is recommended as the number of studies limits this review. IMPACT: Symptom perception is the main physiologic defense against severe hypoglycaemia in type-1 diabetes. This review found that sleep's relationship with hypoglycaemia symptoms has unique physiological and psychological components to address when providing comprehensive care. This review may inform future lines of inquiry that develop into interventions, improvements in practice and risk reduction for hypoglycaemia-related complications.

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