Use and Impact of Simulation in Family Caregiver Education: A Systematic Review.

BACKGROUND: Involving family caregivers in a team-based approach has become increasingly important. Simulation-based interventions in nursing have been effective. However, the effect of simulation on family caregiver education is not widely known and is limited. OBJECTIVE: This study aimed to describe the current state of simulation-based interventions in family caregivers of patients with chronic diseases. METHODS: This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The literature search was conducted in PubMed, CINAHL, PsycINFO, and Cochrane with a medical librarian's help. This review included quantitative, primary, peer-reviewed English-written research articles that reported outcomes for family caregivers. We focused on the data about purpose, design, setting, population, intervention characteristics, and outcomes. Before analyzing the selected studies, we evaluated the risk of bias using the revised Cochrane Risk-Of-Bias tool for randomized trials. RESULTS: Our search yielded 9 articles that met the inclusion criteria. The majority of the 9 articles analyzed were designed in a quasi-experimental design. In addition, most studies focused on certain diseases and used low-fidelity simulators. The simulation content mainly focused on technical simulations to help care for patients. Some simulations had a positive influence on family caregivers' knowledge, attitudes, and skills. CONCLUSIONS: We expect more simulation-based interventions for caregivers, especially those targeting diverse populations, using appropriate modalities and randomized control designs.

Environmental exposures and blood pressure in adolescents and adults in the T1D exchange clinic registry.

AIMS: To examine the associations between environmental determinants of health and blood pressure and whether age, sex, or race moderated the associations among 18,754 adolescents and adults from the type 1 diabetes (T1D) Exchange Clinic Registry. METHODS: We used multivariable linear regression. Environmental determinants included exposure to ambient fine particulate matter (PM2.5, obtained from an integrated model), nitrogen dioxide (NO2), noise and light pollution, and the normalized difference vegetation index (NDVI, a marker of green space) at the ZIP code level of residence. RESULTS: Higher exposure to PM2.5 and NO2, and lower NDVI, was associated with higher systolic and diastolic blood pressure, and higher light pollution exposure were similarly associated with higher diastolic blood pressure. These associations between environmental exposures and blood pressure remained significant after accounting for other covariates (age, sex, race/ethnicity, BMI, and T1D duration). With aging, the negative association between NDVI and blood pressure weakened. CONCLUSIONS: These findings emphasize the significance of minimizing exposure to environmental pollutants, including PM2.5 and NO2, as well as ensuring access to areas with higher NDVI, to promote cardiovascular health in individuals with T1D.

Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study.

BACKGROUND: Multiple research strategies are required to recruit and engage a representative cohort of young adults in diabetes research. In this report, we describe an approach for internet-based recruitment for a repeated-measures descriptive study. OBJECTIVE: The objective of this cross-sectional study was to determine whether internet-based recruitment through multiple social media platforms, a clinical research platform, and cooperation with community partnerships-College Diabetes Network and Beyond Type 1-would serve as an effective way to recruit a representative sample of young adults aged 18-25 years with type 1 diabetes (T1D). METHODS: We conducted a repeated-measures descriptive study. We captured enrollment rates and participant characteristics acquired from each social media platform through survey data and Facebook analytics. This study was advertised via paid postings across a combination of different social media platforms (eg, Facebook, Instagram, Twitter, and Reddit). We used quarterly application postings, quarterly newsletters, and participation in the ResearchMatch registry to identify potentially eligible participants from February 3, 2021, to June 6, 2022. RESULTS: ResearchMatch proved to be the most cost-effective strategy overall, yielding the highest gender and racial diversity compared to other internet platforms (eg, Facebook, Instagram, Twitter, and Reddit), application postings (eg, Beyond Type 1), and newsletters (eg, College Diabetes Network and a local area college). However, we propose that the combination of these approaches yielded a larger, more diverse sample compared to any individual strategy. Our recruitment cost was US $16.69 per eligible participant, with a 1.27% conversion rate and a 30% eligibility rate. CONCLUSIONS: Recruiting young adults with T1D across multiple internet-based platforms was an effective strategy to yield a moderately diverse sample. Leveraging various recruitment strategies is necessary to produce a representative sample of young adults with T1D. As the internet becomes a larger forum for study recruitment, participants from underrepresented backgrounds may continue engaging in research through advertisements on the internet and other internet-based recruitment platforms.

Longitudinal Associations Among Symptoms of Family Intensive Care Unit Syndrome.

BACKGROUND: Family intensive care unit (ICU) syndrome, a comorbid response to another person's stay in the ICU, is characterized by emotional distress, poor sleep health, and decision fatigue. OBJECTIVES: This pilot study examined associations among symptoms of emotional distress (anxiety and depression), poor sleep health (sleep disturbance), and decision fatigue in a sample of family members of patients in the ICU. METHODS: The study used a repeated-measures, correlational design. Participants were 32 surrogate decision makers of cognitively impaired adults who had at least 72 consecutive hours of mechanical ventilation within the neurological, cardiothoracic, and medical ICUs at an academic medical center in northeast Ohio. Surrogate decision makers with a diagnosis of hypersomnia, insomnia, central sleep apnea, obstructive sleep apnea, or narcolepsy were excluded. Severity of symptoms of family ICU syndrome was measured at 3 time points in 1 week. Zero-order Spearman correlations of the study variables were interpreted at baseline and partial Spearman correlations of study variables were interpreted 3 days and 7 days after baseline. RESULTS: The study variables showed moderate to large associations at baseline. Baseline anxiety and depression were associated with each other and with decision fatigue at day 3. Baseline sleep disturbance was associated with anxiety, depression, and decision fatigue at day 7. CONCLUSIONS: Understanding the temporal dynamics and mechanisms of the symptoms of family ICU syndrome can inform clinical, research, and policy initiatives that enhance the provision of family-centered critical care.

Emotional Intelligence: A Novel Factor Influencing Hypertension Self-Management.

The purpose of this study was to examine associations among emotional intelligence, quality of patient-provider interaction, and hypertension (HTN) self-management behaviors. A convenience sample of 90 adults (predominately African American women) with primary HTN were recruited from an urban ambulatory internal medicine clinic. Multivariate linear regression models were used to determine the predictive associations among the study variables. Emotional intelligence was associated with the quality of the patient-provider interaction (r = 0.34; p < .001), patient activation (r = 0.56; p < .001), and medication use (r = 0.26; p = .006). The patient-provider interaction was associated with higher states of patient activation (r = 0.42; p < .001) and medication use behavior (r = 0.29; p = .002). Also, the quality of patient-provider interaction partially mediated the relationship between emotional intelligence and self-management behaviors. Emotional intelligence is a promising patient factor that influences quality of patient-provider interaction and self-management behaviors.

Resilience as a moderator of role overload and sleep disturbance among caregivers of persons with dementia.

The purpose of this study was to examine if resilience moderates the association between role overload and sleep disturbance among caregivers of persons with dementia. This was a secondary analysis of data on 437 informal caregivers (mean age=61.77 years, SD=13.69) of persons with dementia in the United States. Data from the 2017 wave of the National Study of Caregiving were analyzed using multiple regression with interaction terms to evaluate the moderation effect of resilience, while controlling for caregivers' age, race, gender, education, self-rated health, caregiving hours, and primary caregiving status. Higher role overload was associated with greater sleep disturbance and this association was attenuated among caregivers with higher levels of resilience. Our findings highlight the stress-buffering effects of resilience in the context of sleep disturbance in dementia caregivers. Interventions to improve caregivers' ability to recover, resist, and rebound during challenging situations may mitigate role overload and optimize sleep health.

Cognitive Behavioral Sleep Self-Management Intervention for Young Adults With Type 1 Diabetes (NCT04975230).

The purpose of this study was to explore perceptions of the first dose of a cognitive behavioral sleep self-management intervention (CB-sleep) among young adults aged 18 to 25 years with type 1 diabetes (T1D). We used a qualitative descriptive approach to conduct in-depth semi-structured focused interviews with a purposive sample of 16 young adults with T1D, transitioning from adolescence to early adulthood. Interviews were audio-recorded, transcribed verbatim, and analyzed using qualitative content analysis. Participants described their sleep knowledge (previous, new, and additional), sleep health goals, along with barriers and facilitators of the CB-sleep intervention. Based on these results, we suggest CB-sleep is a useful modality with the potential to support sleep self-management in young adults with T1D during this complex life transition. Furthermore, CB-sleep could be incorporated into an existing diabetes self-management education and support program after pilot testing and determining efficacy to improve sleep and glycemic health.

Socioeconomic deprivation and cardiometabolic risk factors in individuals with type 1 diabetes: T1D exchange clinic registry.

AIMS: Social determinants of health (SDOH) influence cardiovascular health in the general population; however, the degree to which this occurs in individuals with type 1 diabetes (T1D) is not well understood. We evaluated associations among socioeconomic deprivation and cardiometabolic risk factors (hemoglobin A1c, low-density lipoprotein, blood pressure, body mass index, physical activity) in individuals with T1D from the T1D Clinic Exchange Registry. METHODS: We evaluated the association between the social deprivation index (SDI) and cardiometabolic risk factors using multivariable and logistic regression among 18,754 participants ages 13 - 90 years (mean 29.2 ± 17) in the T1D Exchange clinic registry from 6,320 zip code tabulation areas (2007-2017). RESULTS: SDI was associated with multiple cardiometabolic risk factors even after adjusting for covariates (age, biological sex, T1D duration, and race/ethnicity) in the multivariable linear regression models. Those in the highest socially deprived areas had 1.69 (unadjusted) and 1.78 (adjusted) times odds of a triple concomitant risk burden of poor glycemia, dyslipidemia, and hypertension. CONCLUSIONS: Persistent SDOH differences could account for a substantial degree of poor achievement of cardiometabolic targets in individuals with T1D. Our results suggest the need for a broader framework to understand the association between T1D and adverse cardiometabolic outcomes.

Sleep health dimensions are associated with next-day symptoms in young adults with type 1 diabetes.

OBJECTIVE: We investigated intra-individual reciprocal associations between sleep health dimensions (individual and composite) and symptoms among young adults with type 1 diabetes (T1D). DESIGN AND MEASUREMENTS: Cross-lagged multilevel models were used to analyze electronic diary-reported sleep and symptom patterns over 7 days at waketime in 42 young adults with T1D. Sleep health dimensions included regularity, satisfaction, alertness, timing, efficiency (percentage of time spent asleep), and duration (total sleep time) and symptoms included mood, fatigue, and pain. Covariates included biological sex and age. SETTING AND PARTICIPANTS: We recruited young adults (mean age 21.5 ± 2.1 years, HbA1c 6.8%, 85% female, 10% gender minority) with T1D for at least 6 months and no other major medical or psychiatric comorbidity from social media platforms, the College Diabetes Network, and ResearchMatch. RESULTS: On days with a better sleep health composite, participants reported lower next-day symptoms (higher mood, lower fatigue, and lower pain) and on days when participants reported lower symptoms, participants reported better sleep health (as a composite). Several individual sleep health dimensions led to lower next-day symptoms (eg, higher satisfaction, alertness, and efficiency and higher mood); however, symptoms were no longer predictive of next-day sleep when controlling for prior day sleep. CONCLUSIONS: Optimal sleep health is an antecedent of fewer next day symptoms. Sleep health dimensions likely have positive additive effects on lower symptoms as some of the individual sleep health dimensions were not significantly associated with some symptoms among young adults with T1D.

A composite measure of sleep health is associated with glycaemic target achievement in young adults with type 1 diabetes.

We investigated whether sleep health (each individual dimension and a composite measure) was associated with better glycaemia among a cohort of young adults with type 1 diabetes (mean age 21.5 years, mean body mass index 24.55 kg m-2 ). Multiple validated self-report questionnaires were completed, and raw continuous glucose monitor data were shared. One self-reported sleep characteristic for each of the five sleep health dimensions was selected. A composite score was calculated by summing the number of "good" sleep health dimensions. We evaluated the associations between sleep health and glycaemia, and whether covariates, including age, type 1 diabetes duration and sleep apnea risk, influenced the relationships among the study variables using multivariable linear regression. Individual dimensions of sleep satisfaction (ß = 0.380, p = 0.019; ß = -0.414, p = 0.010), timing (ß = 0.392, p = 0.015; ß = -0.393, p = 0.015) and sleep efficiency (ß = 0.428, p = 0.007) were associated with higher achievement of glycaemic targets (J-index and time in range); however, these associations did not persist after considering covariates. A better Sleep Health Composite score was associated with higher achievement of glycaemic targets even after considering covariates. Using a multidimensional framework can guide future research on causal pathways between sleep and diabetes health, interventions to target sleep health profiles, and may improve sleep screening in routine diabetes care.

Psychometrics of the Sickle Cell Disease Health-Related Stigma Scale-Short Form.

Health-related stigma, a form of devaluation related to a health condition, is common in individuals with sickle cell disease (SCD). Pain is the hallmark symptom of SCD, and health-related stigma is often described during care-seeking for pain management. Few published instruments measure health-related stigma in individuals with SCD. This study builds on the psychometrics of the 30- and 40-item Sickle Cell Disease Health-Related Stigma Scale (SCD-HRSS). In a sample of 197 adults with SCD, the results support the reliability and validity of a 21-item scale, the SCD-HRSS-Short Form, with an overall Cronbach's alpha reliability of 0.91 and discriminant validity with the PROMIS-29 subscales (anxiety, depressive symptoms, pain interference, physical fatigue, sleep, and role satisfaction). A shorter yet reliable and valid scale may decrease the burden for this underrepresented, minoritized population while still providing important information regarding their experiences of stigmatization.

Health Literacy, Perceived Stigma, Self-Efficacy, and HRQOL in Sickle Cell Disease.

Little is known about the relationships among self-efficacy, social determinants of health, and health outcomes in adults living with sickle cell disease (SCD). We conducted mediation analyses examining the relationships among health literacy, perceived stigma, self-efficacy, and health outcomes in an online cohort of adults living with SCD. The health outcomes explored were physical and mental health-related quality of life (HRQOL) and pain interference; covariates included gender, disease severity, and depressive symptoms. Data came from a cross-sectional, descriptive study of 60 adults with SCD. Perceived stigma and self-efficacy had significant relationships with the study outcomes, while health literacy did not. Self-efficacy partially mediated the relationship between perceived stigma and physical HRQOL, when controlling for depressive symptoms. Future research should investigate the influence of stigma and self-efficacy on health outcomes in patients with SCD and consider stigma when creating interventions to modify self-efficacy.

Racial and Ethnic Cardiometabolic Risk Disparities in the Type 1 Diabetes Exchange Clinic Registry Cohort.

OBJECTIVE: To determine whether individuals from a historically underrepresented racial group have a higher cardiometabolic risk than historically represented individuals with type 1 diabetes (T1D) considering socioeconomic deprivation. METHODS: We used the multivariable logistic and linear regression models to examine socioeconomic deprivation (upper 10th percentile) by race/ethnicity interaction for each cardiometabolic risk factor and cardiometabolic risk burden score, respectively, across 6320 zip code tabulation areas. We also determined the age-adjusted prevalence of low, moderate, and high cardiometabolic risks defined as 0, 1 to 2, and 3 or more risk factors for hypertension, obesity, dyslipidemia, and off-target glycemia for non-Hispanic White (n = 15 746), non-Hispanic Black (n = 1019), Hispanic (n = 1115), and other (n = 887), respectively. RESULTS: The sample comprised 18 767 adolescents and adults with T1D. Those identifying as non-Hispanic Black were more likely to have a high cardiometabolic risk profile, including a 4.5-fold increase in the odds of off-target glycemia, a twofold increase in the odds of systolic hypertension, and 0.29 (unadjusted) and 0.46 (adjusted) increases in a higher cardiometabolic risk burden compared with non-Hispanic White individuals (P < .01). Those identifying as Hispanic had a 3.4-fold increase in the odds of off-target glycemia but were less likely to be overweight/obese or have systolic hypertension compared with non-Hispanic White. However, the lower likelihood of overweight/obesity and hypertension did not persist after considering covariates. CONCLUSION: There is a need to investigate additional determinants of racially/ethnically underrepresented cardiometabolic health, including structural racism and implicit bias in cardiometabolic care for individuals with T1D.

Sociocultural Moderators of Emotion Regulation in Family Members of the Critically Ill.

Coping with a loved one's critical illness as a surrogate decision-maker (SDM) elicits intense psychological distress. Emotion regulation (ER) may mitigate psychological distress. However, ER tendencies and their effects on psychological distress vary by racial and gender identity, which can inform the tailoring of ER-focused interventions. For this study, we examined between-group differences and the moderating effects of race and gender on ER (reappraisal and suppression) and psychological distress. We recruited 274 SDMs from a Midwestern academic medical center. Men reported a greater tendency to use suppression than women, and SDMs identifying as non-White reported a greater tendency to use reappraisal and suppression. Reappraisal resulted in greater psychological distress for non-White men and less psychological distress for White women. Incorporating tailored ER skill building into supportive interventions may improve the short- and long-term psychological well-being of SDMs, which may improve their ability to make value-concordant decisions and fulfill other informal caregiving responsibilities.

Inclusive leadership to guide nursing's response to improving health equity.

The purpose of this manuscript is to examine traditional models of leadership in nursing, and to provide a roadmap and specific recommendations for nurses at all levels to lead our profession through the next decade in achieving health equity. We examine current leadership frameworks in nursing and discuss ways to contemporize these frameworks to more explicitly center the expertise of clinicians and communities from historically marginalized backgrounds. Next, we examine the racial, gender, and able-bodied biases that impact nurses, and call upon nurses to examine and dismantle these biases. We discuss the roles of health systems and academic organizations in developing inclusive leaders, including through community engagement and true service-learning partnerships. Finally, we provide a set of recommendations for all nursing leaders across career stages to embrace inclusivity as they work to improve health equity.

Objective Sleep-Wake Characteristics Are Associated With Diabetes Symptoms in Young Adults With Type 1 Diabetes.

PURPOSE: The primary purpose of this descriptive cross-sectional study was to examine the associations between sleep-wake characteristics (total sleep time, sleep variability, sleep onset latency, and sleep efficiency), distress symptoms (general and diabetes), and diabetes physical symptoms in young adults ages 18 to 30 years with type 1 diabetes (T1D). The secondary purpose was to determine whether biological sex, body mass index (BMI), and T1D duration (covariates) influence the relationships among the study variables. METHODS: Forty-six young adults with T1D, recruited from diabetes clinics from December 2018 to February 2020, wore a wrist actigraph and continuous glucose monitor concurrently for 6 to 14 days and completed the PROMIS Emotional Distress Scale, Diabetes Distress Scale, and Diabetes Symptom Checklist-Revised. RESULTS: Shorter total sleep time and poorer sleep efficiency were associated with higher diabetes emotional distress symptoms. Higher sleep variability was associated with higher neurological pain symptoms. A longer sleep onset latency was associated with higher symptoms of diabetes distress, including psychological, cognitive, hyperglycemia, and a higher total symptom burden. Associations remained statistically significant after adjusting for biological sex and BMI, with the exception of sleep onset latency and total symptom burden. CONCLUSIONS: Poorer objective sleep-wake characteristics were associated with higher diabetes symptoms even after considering biological sex and BMI among young adults with T1D.

Glucose and unstructured physical activity coupling during sleep and wake in young adults with type 1 diabetes.

Glucose variations have a bidirectional relationship with the sleep/wake and circadian systems in type 1 diabetes (T1D); however, the mechanisms remain unclear. The aim of this study was to describe the coupling between glucose and unstructured physical activity over 168 h in young adults with T1D. We hypothesized that there would be differences in sleep and wake characteristics and circadian variations. Glucose was measured with a continuous glucose monitoring device every 5 min and activity with a non-dominant wrist-worn actigraph in 30-s epochs over 6-14 days. There was substantial glucose and unstructured physical activity coupling during sleep and wake, along with circadian variation based on the wavelet coherence analysis. The extent to which glucose fluctuations result in disrupted sleep over longer than one week should be examined considering the harmful effects on achieving glycemic targets. Further studies are needed to delineate the respective roles of glucose production and utilization and the potential for improved meal and insulin timing to optimize glucose and sleep in this population reliant on exogenous insulin.

"Feeling Anxious about Catching COVID": Facilitators and Barriers of Sleep Health among Young Adults with Type 1 Diabetes.

BACKGROUND: The COVID-19 pandemic has imposed pervasive stress and significant disruptions in sleep health in young adults. The purpose of this study was to describe the perceived facilitators and barriers of sleep health among young adults with type 1 diabetes during the COVID-19 pandemic. PARTICIPANTS: Thirty-two young adults with T1D (87.5% female; mean age = 21.5, SD = 2.0) participated in an online survey between January and July 2021. Young adults between the ages of 18-25 years with T1D for at least 6 months were eligible to participate, while those who had a previous OSA diagnosis, were currently pregnant, or worked the night shift were not eligible to participate. METHODS: A qualitative descriptive approach was used to explore the perceived facilitators and barriers to sleep among a convenience sample. Qualitative content was analyzed and coded for themes using qualitative content analysis. Responses were coded using an in vivo approach. RESULTS: Young adults with T1D identified changes in facilitators and barriers of sufficient sleep from before the COVID-19 pandemic to during the pandemic. Three overarching barriers and facilitators were identified: (1) general, (2) diabetes-specific, and (3) COVID-19 specific. CONCLUSIONS: Our findings can inform future educational and cognitive-behavioral interventions to promote sleep health in young adults with T1D and other complex chronic conditions. When designing sleep-promoting interventions for young adults with T1D in the COVID-19 pandemic and post-pandemic, researchers should consider T1D as well as COVID-specific barriers and facilitators.

A systematic review of sleep deprivation and neurobehavioral function in young adults.

AIM: To examine the effect of sleep deprivation (total and partial) on neurobehavioral function compared to a healthy sleep opportunity (7-9 h) in young adults 18-30 years. BACKGROUND: More than one-third of young adults are sleep deprived, which negatively affects a range of neurobehavioral functions, including psychomotor vigilance performance (cognitive), affect, and daytime sleepiness. METHODS: A systematic review of randomized controlled trials (RCTs) on sleep deprivation and neurobehavioral function. Multiple electronic databases (Cochrane Central Registry of Controlled Trials [CENTRAL], PubMed, PsycINFO, CINAHL, and Web of Science) were searched for relevant RCTs published in English from the establishment of each database to December 31, 2020. RESULTS: Nineteen RCTs were selected (N = 766, mean age = 23.7 ± 3.1 years; 44.8% female). Seven were between-person (5 were parallel-group designs and 2 had multiple arms), and 12 were within-person designs (9 were cross over and 3 used a Latin square approach). Total sleep deprivation had the strongest detrimental effect on psychomotor vigilance performance, with the largest effects on vigilance tasks in young adults in the included studies. CONCLUSION: Acute sleep deprivation degrades multiple dimensions of neurobehavioral function including psychomotor vigilance performance, affect, and daytime sleepiness in young adults. The effect of chronic sleep deprivation on the developing brain and associated neurobehavioral functions in young adults remains unclear.