Disparities in adolescent controller medication adherence, treatment barriers, and asthma control.

BACKGROUND: Disparities in asthma persist despite advances in interventions. Adherence and self-management behaviors are critical yet challenging during adolescence. Treatment barriers include individual factors as well as structural and social determinants of health. OBJECTIVE: To determine differences in controller medication adherence, asthma control, and treatment barriers by race, income, and insurance and whether racial disparities persist when controlling for income and insurance. Associations between adherence, barriers, and control were also examined. METHODS: Adolescents completed measures of treatment barriers and asthma control. Controller medication adherence was measured electronically. Descriptive statistics, means comparisons, and analyses of covariance were conducted. RESULTS: One hundred twenty-five adolescents participated (Mage = 14.55, SD = 2.01, 37.6% Black or African American, 55.2% White). Black or African American adolescents had significantly lower adherence than White adolescents, t(105) = 2.79, p = .006, Cohen's d = .55. This difference was not significant when controlling for income and insurance (p > .05). There was a significant difference in asthma control, F(1,86) = 4.07, p = .047, ηp 2 = .045, where Black or African American adolescents had better asthma control scores than White adolescents. Feeling tired of living with asthma was the most common barrier among all adolescents (62.4%). More Black or African American adolescents endorsed difficulty getting to the pharmacy than White adolescents, X2 (1, N = 116) = 4.86, p = .027. CONCLUSIONS: Racial disparities in asthma may be partially driven by income, insurance, and pharmacy access. Asthma burnout may be important to address for all adolescents with asthma.

Systematic review and meta-analysis of interventions to promote medication adherence among children, adolescents, and young adults with medical conditions.

OBJECTIVE: This meta-analysis examined the efficacy of adherence-promotion interventions for children, adolescents, and young adults prescribed a medication for > 90 days as part of a treatment regimen for a medical condition. METHODS: A systematic literature review was conducted to identify randomized controlled trials of adherence-promotion interventions published between 2013 and 2023 and including children, adolescents, and/or young adults with a medical condition. A total of 38 articles representing 39 trials met inclusion criteria. A narrative synthesis was conducted to summarize included trials and a random-effects model was used to compute an overall intervention effect. Effect sizes by adherence outcome assessment methodology, participant age, and technology use were also computed. RESULTS: Pediatric adherence-promotion interventions demonstrate a medium effect with those randomized to an intervention displaying greater improvements in medication adherence than those randomized to a comparator condition (SMD = 0.46, 95% CI: 0.31, 0.60, n = 37; 95% Prediction Interval: -0.32, 1.23). CONCLUSIONS: Adherence interventions for children, adolescents, and young adults with medical conditions increase adherence.

Pilot and feasibility of the SMART IBD mobile app to improve self-management in pediatric inflammatory bowel disease.

OBJECTIVES: Access to evidence-based self-management support in pediatric inflammatory bowel disease (IBD) is a significant challenge. Digital therapeutic solutions can increase access and provide data to patients and providers that would otherwise not be available. We have iteratively developed a mobile application, Self-Management Assistance with Recommended Treatment (SMART) IBD, that allows patients to access self-management support and record symptoms and medication adherence. METHODS: We conducted a pilot and feasibility study for this digital therapeutic tool in which patients used SMART IBD for 30 days. RESULTS: Results indicated that patients rated the app quality as good and accessed the app adequately overall, with some pages being used often. Medication adherence increased over the course of the study and was associated with sleep duration, mood, and stool consistency and blood content. CONCLUSIONS: Overall, this study demonstrated adequate feasibility for the SMART IBD app and initial findings suggest that additional research is needed to explore the potential impact of this tool in clinical care.

Longitudinal associations between family meal quality and quantity: Does one matter more for child, parent, and family health and well-being or are they synergistic?

It is unknown how family meal quantity (i.e., frequency) and quality (i.e., meal healthfulness and interpersonal quality) are associated with child, parent, and family health and well-being over time. This study aimed to examine longitudinal associations between family meal quantity and quality and child, parent, and family health and well-being and whether there was a synergistic effect between family meal quantity and quality. Children ages 5-9 and their parents from six racial/ethnic groups participated in this longitudinal cohort study. Regression models adjusted for socio-demographic characteristics examined family meal quantity, interpersonal quality, and nutritional quality at baseline and interactions between quantity and quality, in relation to changes in child, parent, and family health outcomes from baseline to 18-month follow-up. Higher family meal quantity predicted reduced obesity prevalence, improved diet quality and less food fussiness, food responsiveness, and conduct problems among children at follow-up. Higher family meal quality predicted improved diet quality, lower emotional problems, less food responsiveness, and fewer peer relationship problems among children, improved diet quality and reduced psychological distress for parents, and less family chaos at follow-up. One interaction between family meal quantity and quality was found for child peer relationship problems. Overall, family meal quantity and quality were independently important for child health and well-being and for some parent and family health outcomes. Clinicians working with families may want to emphasize the importance of both family meal quantity and quality, as these longitudinal findings suggest potential benefits for the entire family.

Sedentary Behavior and Physical Activity Associated with Psychosocial Outcomes in Adolescents with Type 1 Diabetes.

Background: Adolescents with type 1 diabetes (T1D) are particularly vulnerable to poor psychosocial outcomes-high rates of diabetes distress and poor quality of life are common among this cohort. Previous work in the general population demonstrated positive associations between quality of life and increases in moderate-to-vigorous physical activity (MVPA), as well as decreased sedentary behavior. While survey-based assessments of young adults with T1D observed similar trends, these studies were limited by their use of subjective assessments of MVPA and sedentary behavior. The use of direct activity monitoring is needed to establish the association between psychosocial outcomes and MVPA and sedentary behavior among adolescents with T1D. Objective: To explore the association between objectively measured MVPA and sedentary behavior on psychosocial outcomes among adolescents with T1D. Subjects and Methods: The current study is a secondary analysis of baseline data collected for a pilot trial of sleep-promoting intervention for adolescents with T1D. Participants (n = 29, with a mean age of 15.9 ± 1.3 years) completed baseline surveys and wore an actigraph for a week following the baseline visit. We examined minutes per week of MVPA and proportion of awake time spent sedentary in relation to adolescents' diabetes distress, depressive symptoms, and diabetes-related quality of life. Results: Participants engaged in a mean of 19.6 ± 22.4 minutes of MVPA per day and spent 68.6 ± 9.9% of their awake time sedentary. MVPA was associated with lower diabetes distress in unadjusted (-3.6; 95% CI: -6.4 to -0.8) and adjusted (-2.6; 95% CI: -5.0--0.3) analyses. Sedentary time was associated with higher diabetes distress in adjusted (6.3; 95% CI: 1.3-11.2) but not unadjusted (6.0; 95% CI: -5.6-12.6) analyses. In secondary analyses, we did not observe significant associations between quality of life or depressive symptoms with either MVPA or sedentary behavior. Discussion: Our findings extend previous survey-based work demonstrating an association between decreased diabetes distress with greater weekly MVPA and lower sedentary time. The current study highlights the multifaceted benefits of physical activity in this population and provides preliminary evidence for developing interventions to reduce sedentary time as an alternative method to improve psychosocial outcomes in this at-risk population.

Use of Behavior Change Techniques and Quality of Commercially Available Inflammatory Bowel Disease Apps.

BACKGROUND: Inclusion of evidence-based behavior change techniques (e.g., self-monitoring) in mobile health apps has the potential to promote adherence to inflammatory bowel disease treatment. While inflammatory bowel disease management apps exist, the extent to which they incorporate behavior change techniques remains unknown. AIMS: The present study systematically evaluated the content and quality of free, commercially available inflammatory bowel disease management apps. METHODS: Apps were identified using a systematic search of the Apple App and Google Play stores. Apps were evaluated using Abraham and Michie's taxonomy of 26 behavior change techniques. A literature search was conducted to identify behavior change techniques specific and relevant for people with inflammatory bowel disease. App quality was assessed using the Mobile App Rating Scale with scores ranging from 1 (Inadequate) to 5 (Excellent). RESULTS: A total of 51 inflammatory bowel disease management apps were evaluated. Apps included 0-16 behavior change techniques (Mean = 4.55) and 0-10 inflammatory bowel disease management behavior change techniques (Mean = 3.43). App quality ranged from 2.03 to 4.62 (Mean = 3.39) out of 5.00. Two apps, My IBD Care: Crohn's & Colitis and MyGiHealth GI Symptom Tracker, included the highest number of overall and inflammatory bowel disease management behavior change techniques along with high-quality scores. Bezzy IBD was the only app with a high number of overall and inflammatory bowel disease management behavior change techniques with a primary focus on social support/change. CONCLUSION: Most inflammatory bowel disease management apps reviewed included evidence-based inflammatory bowel disease management behavior change techniques.

Sleep mHealth Applications and Behavior Change Techniques Evaluation.

OBJECTIVES: Mobile health apps may be an effective way to increase sleep management skills. Although little has been documented about the content and quality of available sleep management apps, providers often make app recommendations to help with sleep self-management. The objective of this study was to systematically evaluate the content and quality of commercially available sleep apps. METHODS: Following a systematic search of the Apple App and Google Play stores, 56 sleep management apps were evaluated. App content was evaluated using the taxonomy of behavior change techniques (BCTs), and app quality was assessed using the Mobile App Rating Scale. RESULTS: Sleep management apps included 0-15 BCTs (M = 6.89) and 0-9 sleep BCTs (M = 4.87). App quality ranged from 2.51 to 4.80 (M = 3.78) out of 5.00. Sleepiest Sleep Sounds Stories, ShutEye: Sleep Tracker, and Mintal Tracker: Sleep Recorder included the highest number of sleep BCTs and highest quality scores. CONCLUSIONS: While the content and quality of sleep management apps is variable, the findings are promising as many apps included a high number of BCTs and high quality. Although evidence of efficacy through randomized controlled trials is necessary to establish efficacy, this review can aid in app selection in the interim.

Systematic Evaluation of the Behavior Change Techniques and Quality of Commercially Available Cancer Self-Management Apps.

PURPOSE: Apps have the potential to aid in cancer self-management, but there is limited guidance available for selecting among currently available options. The purpose of this study is to evaluate the behavior change techniques (BCTs) and quality of publicly available cancer self-management apps. METHODS: Cancer self-management apps were identified from the Apple and Google Play stores in April 2022. Trained study team members coded the BCTs included in each app and rated its quality using the Mobile App Rating Scale (MARS). BCTs supported by previous literature were coded as cancer management BCTs. RESULTS: The 39 apps meeting inclusion criteria included an average of 5.85 BCTs (standard deviation [SD], 3.49; range, 0-15) and 3.54 cancer management BCTs (SD, 1.90; range, 0-8). The most commonly included BCTs were educational or informational strategies: provide information about behavior-health link, provide instruction, and provide information on consequences. The overall app quality ranged from 1.69 to 4.20 (M, 3.29; SD, 0.67). CONCLUSION: No cancer self-management apps were of excellent quality, and less than half included multiple cancer management BCTs beyond education. Clinical implications are discussed, and opportunities to improve the content and quality of apps to address the critical self-management needs of patients diagnosed with cancer are highlighted.

Digital headache self-management interventions for patients with a primary headache disorder: A systematic review of randomized controlled trials.

OBJECTIVE: This article systematically reviews the empirical literature examining the efficacy of digital headache management interventions for patients with a primary headache disorder. BACKGROUND: Digital headache management interventions provide opportunities to improve access to behavioral headache interventions to underserved groups. METHODS: A systematic search of PubMed, Scopus, and EBSCO (PsycInfo, Education Research Complete, ERIC, Health Source: Nursing/Academic Edition, Psychology and Behavioral Sciences Collection) and reference review was conducted. Included studies had to recruit a sample with a primary headache diagnosis, be a randomized controlled trial including a digital component, assess a headache outcome (i.e., frequency, duration, severity, intensity, disability) or quality of life, and be published in English. Two authors independently extracted data for included studies. The methodological quality of studies was assessed using the revised Cochrane risk-of-bias tool. RESULTS: Thirteen studies with unique interventions met inclusion criteria. More than half of the studies were pilots; however, nearly 70% (9/13) demonstrated significant between-group or within-group improvements on one or more headache-related outcomes. All interventions included some form of relaxation training and the majority were delivered via interactive website. While fewer than half the studies report participant race and/or ethnicity, of those that do, 83% (5/6) reported a predominately White/Caucasian sample. CONCLUSIONS: Efficacy testing of digital headache interventions is in its infancy with the majority of these studies relying on pilot studies with small samples comprised of homogenous patient populations. Interactive websites were the most common digital medium to deliver digital headache management interventions and have demonstrated promising results. Further testing using large-scale randomized controlled trials and exploration of other digital tools is warranted. Future studies with more diverse samples are needed to inform health equity of digital headache interventions.

Physical Activity, Glycemic Variability, and Parental Hypoglycemia Fear in Preschoolers With Type 1 Diabetes.

PURPOSE: The authors examined associations between preschoolers' daily glycemic variability, parents' report of hypoglycemia fear, and preschoolers' daily moderate to vigorous physical activity (MVPA) and sedentary behavior (SB) in 25 families of preschoolers with type 1 diabetes. METHODS: Parents completed a valid measure of hypoglycemia fear, and their child wore an accelerometer for up to 7 days. Parents provided glucose data from their child's devices. The authors used multiple regression and multilevel modeling to analyze their data. RESULTS: Preschoolers (mean age 4.2 [1.7] y; 50% boys) engaged in a mean of 154.5 (59.6) and 339.2 (85.1) minutes of MVPA and SB per day, respectively, and parents reported relatively low levels of hypoglycemia worry and avoidance behaviors. Preschoolers' SB (r = .19, P = .02) and MVPA (r = -.20, P = .01) levels were significantly correlated with parental hypoglycemia worry scores but not with parents' hypoglycemia behavior scores (P = .15 and P = .92, respectively). While multilevel models did not show an association between MVPA and preschoolers' glycemic variability, preschoolers who engaged in more daily SB experienced higher glycemic variability (P = .04). CONCLUSIONS: Research exploring MVPA, SB, and parental hypoglycemia fear in preschoolers with type 1 diabetes could have important clinical implications because it may reveal modifiable treatment targets that can impact preschoolers' health and activity patterns.

A systematic evaluation of primary headache management apps leveraging behavior change techniques.

BACKGROUND: Mobile health apps have the potential to promote adherence to headache management through the use of evidence-based behavior change techniques (e.g., self-monitoring). While many headache management apps exist, the extent to which these apps include behavior change techniques remains unknown. Thus, the present study systematically evaluated the content and quality of commercially available headache management apps. METHODS: Headache apps were identified using a systematic search in the Apple App and Google Play stores. A total of 55 apps were evaluated using the taxonomy of behavior change techniques and app quality using the Mobile App Rating Scale. RESULTS: Headache management apps included 0-14 behavior change techniques (Mean [M] = 5.89) and 0-8 headache management behavior change techniques (M = 4.29). App quality ranged from 2.84-4.67 (M = 3.73) out of 5.00. Three apps, Migraine Trainer, Easeday: Headache & Migraine, and PainScale, included the highest number of overall and headache management behavior change techniques along with good quality scores. CONCLUSIONS: While randomized controlled trials are necessary to determine the efficacy of individual headache apps, most existing apps include evidence-based headache management behavior change techniques. Headache apps often focus on either self-monitoring or stress management via relaxation training, suggesting that patients' needs should be used to inform app selection.

Attitudes About COVID-19 and Health (ATTACH): Online Survey and Mixed Methods Study.

BACKGROUND: Behavioral mitigation strategies to slow the spread of COVID-19 have resulted in sweeping lifestyle changes, with short- and long-term psychological, well-being, and quality of life implications. The Attitudes About COVID-19 and Health (ATTACH) study focuses on understanding attitudes and beliefs while considering the impact on mental and physical health and the influence of broader demographic and geographic factors on attitudes, beliefs, and mental health burden. OBJECTIVE: In this assessment of our first wave of data collection, we provide baseline cohort description of the ATTACH study participants in the United Kingdom, the United States, and Mexico. Additionally, we assess responses to daily poll questions related to COVID-19 and conduct a cross-sectional analysis of baseline assessments collected in the UK between June 26 and October 31, 2020. METHODS: The ATTACH study uses smartphone app technology and online survey data collection. Participants completed poll questions related to COVID-19 2 times daily and a monthly survey assessing mental health, social isolation, physical health, and quality of life. Poll question responses were graphed using 95% Clopper-Pearson (exact) tests with 95% CIs. Pearson correlations, hierarchical linear regression analyses, and generalized linear models assessed relationships, predictors of self-reported outcomes, and group differences, respectively. RESULTS: By October 31, 2020, 1405, 80, and 90 participants had consented to participate in the UK, United States, and Mexico, respectively. Descriptive data for the UK daily poll questions indicated that participants generally followed social distancing measures, but worry and negative impacts on families increased as the pandemic progressed. Although participants generally reported feeling that the reasons for current measures had been made clear, there was low trust that the government was doing everything in its power to meet public needs. In the UK, 1282 participants also completed a monthly survey (94.99% [1326/1396] White, 72.22% [1014/1404] female, and 20.12% [277/1377] key or essential workers); 18.88% (242/1282) of UK participants reported a preexisting mental health disorder, 31.36% (402/1282) reported a preexisting chronic medical illness, and 35.11% (493/1404) were aged over 65; 57.72% (740/1282) of participants reported being more sedentary since the pandemic began, and 41.89% (537/1282) reported reduced access to medical care. Those with poorer mental health outcomes lived in more deprived neighborhoods, in larger households (Ps<.05), had more preexisting mental health disorders and medical conditions, and were younger than 65 years (all Ps<.001). CONCLUSIONS: Communities who have been exposed to additional harm during the COVID-19 pandemic were experiencing worse mental outcomes. Factors including having a medical condition, or living in a deprived neighborhood or larger household were associated with heightened risk. Future longitudinal studies should investigate the link between COVID-19 exposure, mental health, and sociodemographic and residential characteristics.

Continuous Glucose Monitoring Decreases Hypoglycemia Avoidance Behaviors, but Not Worry in Parents of Youth With New Onset Type 1 Diabetes.

BACKGROUND: Existing research shows that hypoglycemia fear (HF) is common in parents of children with established type 1 diabetes (T1D). We examined parental HF in the T1D recent-onset period and evaluated whether continuous glucose monitoring (CGM) adoption relates to improved outcomes of parental HF. METHODS: In TACKLE-T1D, a prospective study of five- to nine-year olds with recent-onset T1D, parents completed the Hypoglycemia Fear Survey-Parents (HFS-P) at baseline (T1) and 6 (T2) and 12 (T3) months post-baseline. The HFS-P measures worry about hypoglycemia (HFS-Worry score) as well as hypoglycemia avoidance behaviors (HFS-Behavior score). We recorded CGM start dates for youth during the same time period through medical record review. RESULTS: Between T1 and T2, 31 youth (32.3%) initiated CGM therapy, and between T2 and T3, an additional 17 youth (17.7%) began using CGM, leaving 48 youth who never initiated CGM therapy (50%) in the recent-onset period. Parents reported moderate HFS-Worry scores at T1 (32.9 ± 11.9), which increased between T1 and T2 (37.6 ± 11.4, P < .001) and plateaued between T2 and T3 (37.7 ± 12.4, P = .89). In contrast, parental HFS-Behavior scores decreased between T1 (33.1 ± 5.8) and T2 (32.2 ± 6.0, P = .005) and plateaued between T2 and T3 (32.2 ± 6.0, P = .95). Baseline HFS-Behavior and Worry scores were associated with increased adoption of CGM between T1-T2 and T2-T3, respectively. Parents of children initiating CGM therapy between T1 and T2 showed the largest decrease in HFS-Behavior (P = .03). CONCLUSIONS: Initiating CGM therapy within the first 12 months of T1D may help reduce parents' use of hypoglycemia avoidance behaviors, but has little effect on parents' hypoglycemia worry.

Associations Between Objective Sleep Behaviors and Blood Glucose Variability in Young Children With Type 1 Diabetes.

BACKGROUND: Young children with Type 1 diabetes (T1D) are at risk for extreme blood glucose variability, a risk factor for suboptimal glycated hemoglobin A1c (HbA1c) and long-term health complications. We know that a reciprocal relationship exists between sleep and glycemic outcomes in older youth with T1D; however, little research has examined objective sleep in young children (<7 years) with T1D. PURPOSE: This study examines bidirectional associations between sleep behaviors and glycemic variability in young children with T1D. METHODS: Thirty-nine young children with T1D (Mage 4.33 ± 1.46 years; MHbA1c 8.10 ± 1.06%) provided accelerometry data to objectively measure sleep onset latency, number of nighttime awakenings, and total sleep time. We also assessed HbA1c, average blood glucose, and glycemic variability (i.e., standard deviation of blood glucose from device downloads). We evaluated bidirectional relationships using multilevel modeling in SAS, with weekday/weekend as a Level 2 moderator. RESULTS: Children averaged 8.5 ± 1.44 hr of sleep per night, but only 12.8% met current sleep recommendations. Children experienced more nighttime awakenings, higher blood glucose, and more glycemic variability on weekends. Sleep onset latency and nighttime awakenings predicted greater glycemic variability on weekends, and weekend glycemic variability predicted increased nighttime awakenings. CONCLUSIONS: Most young children with T1D did not meet sleep recommendations. Young children experienced more nighttime awakenings, higher blood glucose, and increased glycemic variability on weekends only, when routines may be less predictable. Findings suggest that one way families of young children with T1D may be able to decrease glycemic variability is to keep consistent routines on weekdays and weekends.

Mealtime insulin BOLUS score increases prior to clinic visits in youth with type 1 diabetes.

INTRODUCTION: Multiple studies confirm the occurrence of 'white coat adherence' (WCA), a term describing an increase in engagement with self-care tasks just prior to a scheduled clinic appointment, across cohorts with multiple chronic conditions. In youth with type 1 diabetes (T1D), research also shows an increase in self-monitoring blood glucose frequency ahead of youths' clinic visits. While studies show preliminary evidence for the occurrence of WCA in youth with T1D, no study has examined the effect of WCA and mealtime insulin dosing behaviors in youth with T1D. The frequency of mealtime insulin bolusing score (BOLUS) is an objective measure of mealtime insulin use in youth with T1D that could be vulnerable to WCA. To fill this gap in the literature and further our understanding of WCA in pediatric diabetes, we determined whether WCA also impacts BOLUS scores in youth with T1D. RESEARCH DESIGN AND METHODS: We extracted insulin pump records and HbA1c levels from a clinical database for 459 youth with T1D (Mage=12.5±2.9 years). We calculated mean BOLUS scores for 6-5, 4-3, and 2-0 weeks prior to youths' routine clinic visits. We used multilevel modeling to examine patterns of BOLUS scores prior to clinic visits and tested for age differences. RESULTS: Multilevel modeling showed a significant increase in BOLUS scores in the weeks prior to youths' clinic appointments (ß=0.07, p<0.001). On average, adolescents had lower BOLUS scores than school-age children (ß=-0.35, p<0.001). Post hoc analyses showed that adolescents consistently had lower BOLUS scores than children across assessments (p's<0.001). CONCLUSIONS: Youth with T1D increase their mealtime insulin use prior to clinic appointments. The BOLUS may be a viable target for intervention to drive improved glycemic control. Whether increased tendency to WCA is associated with reduced risk of diabetic complications remains to be determined.

Depression as a predictor of hypoglycemia worry in parents of youth with recent-onset type 1 diabetes.

BACKGROUND: During the recent-onset period of type 1 diabetes (T1D), parents may be at increased risk for depression, stress, and hypoglycemia fear; however, current studies have not examined the parental psychological experience and anxiety from hypoglycemia fear (ie, hypoglycemia worry) over time. This study examined the trajectory of parental hypoglycemia worry (Hypoglycemia Fear Survey-Worry [HFS-Worry]) in families of children with recent-onset T1D and the effects of baseline parental depression on parents' trajectory of HFS-Worry. METHODS: We enrolled 128 families of children ages 5- to 9-years-old with recent onset T1D in this study. At baseline, 125 parents completed measures of depression and HFS-Worry, followed by 111 at 6-month follow-up, 113 at 12-month follow-up, and 107 at 18-month follow-up. We used multilevel modeling to examine the 18-month trajectories of HFS-Worry and to examine if parental depression modified these trajectories. RESULTS: We found that parents HFS-Worry scores increased over time for parents with and without elevated depressive symptoms. Parents' baseline report of depression appeared to modify their trajectory of HFS-Worry over time such that parents with elevated depressive symptoms reported significantly higher levels of worry when compared to parents without depressive symptoms across the 18-month study period (P < .05). CONCLUSIONS: Parents of children with recent-onset T1D, who reported elevated depressive symptoms, reported higher HFS-Worry across the study period. Our findings suggest clinics should consider screening for parent depression and hypoglycemia worry following a T1D diagnosis. Integrating psychological screening for parents could help clinics to provide relevant treatment resources and tailor diabetes education for parents. Trial Registration NCT03698708.

Stressful life events, parental psychosocial factors, and glycemic management in school-aged children during the 1 year follow-up of new-onset type 1 diabetes.

OBJECTIVE: To monitor occurrence of stressful life events, assess correlations with family functioning and parental psychosocial measures, and examine the impact of stressful life events on diabetes management in the first year after diagnosis of type 1 diabetes (T1D) in children using a mixed methods design. METHODS: In a prospective study of 5- to 9-year-olds with recent-onset T1D (mean age 7.4 ± 1.3 years, T1D duration 4.7 ± 3.3 months), we monitored glycated hemoglobin A1c (HbA1c), income, job status, family health, and marital status at baseline and every 3 months up to 1 year. We measured coping, parental depression, and diabetes family conflict at baseline. RESULTS: Of 128 families, 53.9% (n = 69) reported 1+ stressful event, with 25.8% reporting income change (n = 33) during this period, 23.4% additional family health changes (n = 30), 22.7% job changes (n = 29), 21.9% changes in child's school (n = 28), and 3.9% changes in marital status (n = 5). Baseline active avoidance coping, parental depression, and diabetes family conflict correlated with a higher number of stressful life events (r = 0.239, P < .01; r = 0.197, P < .05; r = 0.225, P < .01, respectively). There were also cross-sectional associations between HbA1c and income decrease, school change, and job change at various time points in the study. CONCLUSIONS: Families can experience concurrent life stressors during the first year of T1D, which relate to coping, depression, and conflict. Consistent with existing literature, stressful life events relate to glycemic management. Future research should explore the individual's or parent's perception of stress and ways that diabetes centers can effectively assist families of youth with T1D and concurrent life stressors.

Society of Pediatric Psychology Workforce Survey: Updated Factors Related to Compensation.

OBJECTIVE: The 2017 Society of Pediatric Psychology (SPP) Workforce Survey provides self-reported compensation by pediatric psychologists, identifies predictors of compensation, and establishes a better understanding of compensation within the context of gender and race/ethnicity minority status. METHODS: SPP members who attended the SPP Annual Conference (SPPAC; April 2017) were invited to complete the survey at the conference through electronic tablets provided on-site by the Workforce Survey Committee. The survey was subsequently distributed online to SPP members who did not complete the survey at SPPAC. The statistical analyses used for this salary data employed flexible semi-parametric models, cross-validation, and prediction models for both the overall sample and academic rank subgroups. RESULTS: Of 27 potential demographic and employment-related predictors from the 2017 SPP Workforce Survey, significant predictors of salary emerged within this sample: academic rank, time since obtaining doctoral degree, managing internal and external funds (of at least $50,000), years in primary employment position, obtaining Fellowship status in the American Psychological Association (APA), and managing other employees (at least 10 people). Given low response rates for males and individuals who identify as belonging to racial and ethnic minority subgroups, only limited, exploratory results are reported for these subgroups. CONCLUSIONS: These findings suggest that not only is longevity in one's career important but managing funds/personnel and obtaining professional designations are also predictors of higher salaries for pediatric psychologists, in general. Specific implications of salary according to the psychologist's academic rank, gender, and racial/ethnicity group status are also explored.

Early Initiation of Diabetes Devices Relates to Improved Glycemic Control in Children with Recent-Onset Type 1 Diabetes Mellitus.

Objective: To test whether the addition of an insulin pump or continuous glucose monitor (CGM) related to reduced glycated hemoglobin A1c (HbA1c) in large cohort of children, 5-9 years old, and within 1 year of their type 1 diabetes (T1D) diagnosis. Research Design and Methods: The study uses data from families of children with recent-onset T1D and who were between 5 and 9 years old. Study analyses used children's HbA1c values at baseline and at the 6-month follow-up. Parents reported on family demographics and children's T1D device use in their daily management (e.g., insulin pump or CGM). Children's mean T1D duration was 4.70 ± 3.28 months at baseline, so the 6-month assessment point was ∼12 months postdiagnosis. Results: One hundred-eleven families participated. At baseline, child mean age was 7.51 ± 1.37 years, and mean child HbA1c was 7.65% ± 1.40%. In addition, 17% of children used an insulin pump, and 17.1% of children used CGM. Six months later, 35.1% of children had started an insulin pump and 25.2% had started CGM. Repeated measures analyses of variance results showed a smaller overall HbA1c between baseline and 6 months for children using an insulin pump versus children not on a pump. For CGM, results showed that children starting a CGM during this window had a significantly lower HbA1c level than children who had not started on CGM. Conclusions: The study results suggest that early initiation of either an insulin pump or CGM in children newly diagnosed with T1D may help to improve child HbA1c levels within the first 12 months of diabetes.