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Disordered eating (DE) in type 1 diabetes (T1D) includes insulin restriction for weight loss with serious complications. Gut microbiota-derived short chain fatty acids (SCFA) may benefit host metabolism but are reduced in T1D. We evaluated the hypothesis that DE and insulin restriction were associated with reduced SCFA-producing gut microbes, SCFA, and intestinal microbial diversity in adults with T1D.We collected stool samples at four timepoints in a hypothesis-generating gut microbiome pilot study ancillary to a weight management pilot in young adults with T1D. 16S ribosomal RNA gene sequencing measured the normalized abundance of SCFA-producing intestinal microbes. Gas-chromatography mass-spectrometry measured SCFA (total, acetate, butyrate, and propionate). The Diabetes Eating Problem Survey-Revised (DEPS-R) assessed DE and insulin restriction. Covariate-adjusted and Bonferroni-corrected generalized estimating equations modeled the associations. COVID-19 interrupted data collection, so models were repeated restricted to pre-COVID-19 data. Data were available for 45 participants at 109 visits, which included 42 participants at 65 visits pre-COVID-19. Participants reported restricting insulin "At least sometimes" at 53.3% of visits. Pre-COVID-19, each 5-point DEPS-R increase was associated with a -0.34 (95% CI -0.56, -0.13, p = 0.07) lower normalized abundance of genus Anaerostipes; and the normalized abundance of Lachnospira genus was -0.94 (95% CI -1.5, -0.42), p = 0.02 lower when insulin restriction was reported "At least sometimes" compared to "Rarely or Never".DE and insulin restriction were associated with a reduced abundance of SCFA-producing gut microbes pre-COVID-19. Additional studies are needed to confirm these associations to inform microbiota-based therapies in T1D.

The aim of this study was to explore whether demographic characteristics and professional roles are associated with relational coordination (RC) among nurses and physicians.The increased race, age, and gender diversity in the nursing and medical workforce raises questions regarding how well nurses and physicians communicate and interact. Relational coordination is a unique framework to enhance teamwork and care coordination among healthcare professionals.An exploratory cross-sectional study was conducted in a military hospital. The study variables were examined using multiple regression.Two-hundred eighty-nine participants completed the survey. Professional role, race, age, gender, and experience were not associated with RC. Rank and education were significantly associated with RC. Enlisted service members reported higher RC between roles, and participants with graduate degrees reported lower RC within roles.Hospital leaders can implement RC to foster inclusivity and teamwork among healthcare professionals despite demographic characteristics and professional roles.

Background: Cardiovascular disease (CVD) risk increases substantially during perimenopause. Latinas have a significantly worse CVD risk factor profile than non-Latina White women, potentially due to multiple sociocultural and environmental factors. The purpose of this study is to evaluate the feasibility and initial efficacy of a multi-component intervention to reduce CVD risk in perimenopausal Latinas. Here we report data at a 6-month follow-up. Methods: This is a randomized two-group, repeated measures experimental study. Forty-nine perimenopausal Latinas (age 40-60 years) were randomized to a 6-month multi-component intervention or wait-list control. The intervention consists of 12-weekly culturally tailored Spanish language-based sessions (education, physical activity, stress management, coping skills training), followed by 3 months of continued support, and 6 months of skill maintenance on their own. Between May 2021 and June 2022, thirty-five participants (18 intervention and 17 control) completed a 6-month follow-up. Primary outcomes at this study visit included weight, body mass index, waist circumference, and blood pressure. Secondary outcomes included health behaviors and psychological factors (nutrition, physical activity, sleep, self-efficacy, perceived stress). We assessed the initial efficacy of the intervention at 6 months using general linear models for continuous outcomes and logistic regression for categorical outcomes. Models adjusted for outcome measures at baseline and baseline group differences (health insurance, vasomotor symptoms). Models were two-sided at a level of significance of p≤0.1. Results: At baseline, the mean age was 47.8 ± 4.4 years, 37% had less than high school education, 97% were born outside of the United States, and 51% reported it was somewhat/very difficult to pay for basics. Women in the intervention group were more likely to have health insurance (61% vs 24%, p=0.06) and less likely to report any vasomotor symptoms (44% vs 77%, p=0.09). At 6 months (post-intervention), compared to the waitlist control group, the intervention group had lower perceived stress (ß[SE]= -2.15 [1.05], p=0.05) and systolic blood pressure (ß[SE]= -2.72 [1.61], p=0.1) even after adjusting for baseline measures and group differences. There were no other significant differences post-intervention. Conclusions: This pilot study found that a culturally tailored Spanish language intervention consisting of nutrition education, physical activity, and stress management may be effective in reducing stress and blood pressure in perimenopausal Latinas —key risk factors for CVD.

Co-management of weight and glycaemia is critical yet challenging in type 1 diabetes (T1D). We evaluated the effect of a hypocaloric low carbohydrate, hypocaloric moderate low fat, and Mediterranean diet without calorie restriction on weight and glycaemia in young adults with T1D and overweight or obesity.We implemented a 9-month Sequential, Multiple Assignment, Randomized Trial pilot among adults aged 19-30 years with T1D for ≥1 year and body mass index 27-39.9 kg/mAdjusted weight and HbA1c (n = 38) changed by -2.7 kg (95% CI -3.8, -1.5, P .0001) and -0.91 percentage points (95% CI -1.5, -0.30, P = .005), respectively, while adjusted body fat percentage remained stable, on average (P = .21). Hypoglycaemia indices remained unchanged following adjustment (n = 28, P .05). Variability in all outcomes, including weight change, was considerable (57.9% were re-randomized primarily due to loss of2% body weight). No outcomes varied by diet.Three months of a diet, irrespective of macronutrient distribution or caloric restriction, resulted in weight loss while improving or maintaining HbA1c levels without increasing hypoglycaemia in adults with T1D.

Nutritional strategies are needed to aid people with type 1 diabetes (T1D) in managing glycemia following exercise. Secondary analyses were conducted from a randomized trial of an adaptive behavioral intervention to assess the relationship between post-exercise and daily protein (g/kg) intake on glycemia following moderate-to-vigorous physical activity (MVPA) among adolescents with T1D. Adolescents (n = 112) with T1D, 14.5 (13.8, 15.7) years of age, and 36.6% overweight or obese, provided measures of glycemia using continuous glucose monitoring (percent time above range [TAR, >180 mg/dL], time-in-range [TIR, 70–180 mg/dL], time-below-range [TBR

The ACT1ON pilot study evaluated the feasibility of three dietary strategies to optimize weight and glycemic management among young adults with T1D and overweight or obesity. As a secondary measure, self-reported physical activity (PA) was collected at baseline, 3-, 6-, and 9-months from 68 young adults with T1D (age 25.5 ± 3.1 years, 72.1% female, HbA1c 7.9 ± 1.8%, BMI 30.4 (27.9 - 33.9)) . Using the Global Physical Activity Questionnaire (GPAQ, n=195) and Previous Day Physical Activity Recalls (PDPAR, n=123) , we estimated weekly minutes of moderate-to-vigorous physical activity (MVPA) . Following the COVID-19 outbreak, a subset of participants wore Garmin Vivosmart4® PA trackers for two weeks at each visit (44 measurements from 27 participants) . Mixed effects regression models assessed the relationship between weekly minutes of MVPA and HbA1c using each PA measure. Median weekly minutes of MVPA were 33% lower following the COVID-19 outbreak compared to pre-pandemic PA levels (p=0.02) per the GPAQ, but not PDPAR (-7.7%, p=0.34) . After adjusting for design, demographic, clinical, and dietary variables, a 1 standard deviation increase in weekly minutes of MVPA (GPAQ) was associated with an absolute increase of 0.27% HbA1c (p>0.001) . A small, statistically non-significant association was observed for PDPAR (β=0.13, p=0.19) ; however, we observed a borderline statistically significant association using the PA tracker data (β=0.231, p=0.08) , despite a smaller sample size (n=44) . These results suggest that among young adults with T1D and overweight and obesity, higher levels of PA may lead to challenges in achieving optimal glycemia. Future work is needed to determine how to best support young adults with T1D and overweight and obesity in attaining both their PA and glycemic management goals. Disclosure F. R. Muntis: None. R. E. Pratley: Other Relationship; Bayer AG, Corcept Therapeutics, Dexcom, Inc., Hanmi Pharm. Co., Ltd., Merck & Co., Inc., Metavention, Novo Nordisk, Pfizer Inc., Poxel SA, Sanofi, Scohia Pharma Inc., Sun Pharmaceutical Industries Ltd. K. Corbin: None. E. J. Mayer-davis: None. D. P. Zaharieva: Research Support; Insulet Corporation, International Society for Pediatric and Adolescent Diabetes, Leona M. and Harry B. Helmsley Charitable Trust. D. Igudesman: None. A. Cristello: None. J. Thomas: None. N. Arrizon- ruiz: None. J. Hooper: None. A. Addala: None. J. Crandell: n/a. D. M. Maahs: Advisory Panel; Abbott Diabetes, Eli Lilly and Company, Medtronic, Novo Nordisk, Sanofi, Consultant; Aditx Therapeutics, Inc., Biospex. Funding National Institutes of Health (1DP3DK113358-01)

Background: Sequential Multiple Assignment Randomized Trials (SMARTs) efficiently address practical treatment comparison questions and adapt dynamically based on response. They may be useful for development of approaches to co-manage weight and glycemia T1D, which is critical yet challenging. Methods: Our SMART pilot with three diet periods enrolled young adults with T1D (BMI 27-39.9 kg/m²) . Participants were re-randomized after ∼3 months on the hypocaloric Look AHEAD (Low Fat) or Low Carbohydrate (Low Carb) ; or Mediterranean (Med, not calorie restricted) diet if Results: The proportion re-randomized was 57.9% and did not vary by diet. Weight was lost overall but insufficient weight loss was the most common reason for re-randomization for Low Fat and Med. An HbA1c increase ≥0.5% was most common on Med. Low diet acceptability was the most common reason for re-randomization on Low Carb. Conclusions: We achieved safe weight loss among young adults with T1D but observed heterogeneity in reasons for re-randomization by diet, although differences were not statistically significant. A fully-powered efficacy trial may confirm our findings. Disclosure D.Igudesman: None. R.E.Pratley: Other Relationship; Bayer AG, Corcept Therapeutics, Dexcom, Inc., Hanmi Pharm. Co., Ltd., Merck & Co., Inc., Metavention, Novo Nordisk, Pfizer Inc., Poxel SA, Sanofi, Scohia Pharma Inc., Sun Pharmaceutical Industries Ltd. M.R.Kosorok: n/a. D.M.Maahs: Advisory Panel; Abbott Diabetes, Eli Lilly and Company, Medtronic, Novo Nordisk, Sanofi, Consultant; Aditx Therapeutics, Inc., Biospex. E.J.Mayer-davis: None. J.Crandell: n/a. T.Pokaprakarn: None. K.Corbin: None. D.P.Zaharieva: Research Support; Insulet Corporation, International Society for Pediatric and Adolescent Diabetes, Leona M. and Harry B. Helmsley Charitable Trust. A.Addala: None. J.Thomas: None. A.Casu: None. M.Riddell: Advisory Panel; Zealand Pharma A/S, Zucara Therapeutics, Consultant; Eli Lilly and Company, Jaeb Center for Health Research, Speaker's Bureau; Dexcom, Inc., Eli Lilly and Company, Novo Nordisk. Funding National Institutes of Health 1DP3DK113358

Young adults with type 1 diabetes (T1D) often have difficulty co-managing weight and glycemia. The prevalence of overweight and obesity among individuals with T1D now parallels that of the general population and contributes to dyslipidemia, insulin resistance, and risk for cardiovascular disease. There is a compelling need to develop a program of research designed to optimize two key outcomes–weight management and glycemia–and to address the underlying metabolic processes and behavioral challenges unique to people with T1D. For an intervention addressing these dual outcomes to be effective, it must be appropriate to the unique metabolic phenotype of T1D, and to biological and behavioral responses to glycemia (including hypoglycemia) that relate to weight management. The intervention must also be safe, feasible, and accepted by young adults with T1D. In 2015, we established a consortium called ACT1ON: Advancing Care for Type 1 Diabetes and Obesity Network, a transdisciplinary team of scientists at multiple institutions. The ACT1ON consortium designed a multi-phase study which, in parallel, evaluated the mechanistic aspects of the unique metabolism and energy requirements of individuals with T1D, alongside a rigorous adaptive behavioral intervention to simultaneously facilitate weight management while optimizing glycemia. This manuscript describes the design of our integrative study—comprised of an inpatient mechanistic phase and an outpatient behavioral phase—to generate metabolic, behavioral, feasibility, and acceptability data to support a future, fully powered sequential, multiple assignment, randomized trial to evaluate the best approaches to prevent and treat obesity while co-managing glycemia in people with T1D. Clinicaltrials.gov identifiers: NCT03651622 and NCT03379792. The present study references can be found here: https://clinicaltrials.gov/ct2/show/NCT03651622 https://clinicaltrials.gov/ct2/show/NCT03379792?term=NCT03379792&draw=2&rank=1 Submission Category: “Study Design, Statistical Design, Study Protocols”.

OBJECTIVE: To assess the relationship between mindfulness and glycemia among adolescents with type 1 diabetes (T1D) with suboptimal glycemia, and evaluate the potential mediation by ingestive behaviors, including disordered eating, and impulsivity. METHODS: We used linear mixed models for hemoglobin A1c (HbA1c) and linear regression for continuous glucose monitoring (CGM) to study the relationship of mindfulness [Child and Adolescent Mindfulness Measure (CAMM)] and glycemia in adolescents with T1D from the 18-month Flexible Lifestyles Empowering Change (FLEX) trial. We tested for mediation of the mindfulness-glycemia relationship by ingestive behaviors, including disordered eating (Diabetes Eating Problem Survey – Revised), restrained eating, and emotional eating (Dutch Eating Behavior Questionnaire); and impulsivity (total, attentional, and motor, Barrett Impulsiveness Scale). RESULTS: At baseline, participants (n=152) had a mean age of 14.9 ± 1.1 years and HbA1c of 9.4 ± 1.2% [79±13 mmol/mol]. The majority of adolescents were non-Hispanic white (83.6%), 50.7% were female, and 73.0% used insulin pumps. From adjusted mixed models, a 5-point increase in mindfulness scores was associated with a −0.19% (95%CI −0.29, −0.08, p=0.0006) reduction in HbA1c. We did not find statistically significant associations between mindfulness and CGM metrics. Mediation of the relationship between mindfulness and HbA1c by ingestive behaviors and impulsivity was not found to be statistically significant. CONCLUSIONS: Among adolescents with T1D and suboptimal glycemia, increased mindfulness was associated with lower HbA1c levels. Future studies may consider mindfulness-based interventions as a component of treatment for improving glycemia among adolescents with T1D, though more data are needed to assess feasibility and efficacy.

Despite the widespread clinical perception that hypoglycemia may drive weight gain in youth with type 1 diabetes (T1D), there is an absence of published evidence supporting this hypothesis.We estimated the body fat percentage (eBFP) of 211 youth (HbA1c 8.0-13.0%, age 13-16) at baseline, 6, and 18 months of the Flexible Lifestyles Empowering Change trial using validated equations. Group-based trajectory modeling assigned adolescents to sex-specific eBFP groups. Using baseline 7-day blinded continuous glucose monitoring data, "more" vs. "less" percent time spent in hypoglycemia was defined by cut-points using sample median split and clinical guidelines. Adjusted logistic regression estimated the odds of membership in an increasing eBFP group comparing youth with more vs. less baseline hypoglycemia.More time spent in clinical hypoglycemia (defined by median split) was associated with 0.29 the odds of increasing eBFP in females (95% CI: 0.12, 0.69; p = 0.005), and 0.33 the odds of stable/increasing eBFP in males (95% CI: 0.14, 0.78; p = 0.01).Hypoglycemia may not be a major driver of weight gain in US youth with T1D and HbA1c ≥8.0. Further studies in different sub-groups are needed to clarify for whom hypoglycemia may drive weight gain and focus future etiological studies and interventions.We contribute epidemiological evidence that hypoglycemia may not be a major driver of weight gain in US youth with type 1 diabetes and HbA1c ≥8.0% and highlight the need for studies to prospectively test this hypothesis rooted in clinical perception. Future research should examine the relationship between hypoglycemia and adiposity together with psychosocial, behavioral, and other clinical factors among sub-groups of youth with type 1 diabetes (i.e., who meet glycemic targets or experience a frequency/severity of hypoglycemia above a threshold) to further clarify for whom hypoglycemia may drive weight gain and progress etiological understanding of and interventions for healthy weight maintenance.

BACKGROUND: Comanagement of glycemia and adiposity is the cornerstone of cardiometabolic risk reduction in type 1 diabetes (T1D), but targets are often not met. The intestinal microbiota and microbiota-derived short-chain fatty acids (SCFAs) influence glycemia and adiposity but have not been sufficiently investigated in longstanding T1D. OBJECTIVES: We evaluated the hypothesis that an increased abundance of SCFA-producing gut microbes, fecal SCFAs, and intestinal microbial diversity were associated with improved glycemia but increased adiposity in young adults with longstanding T1D. METHODS: Participants provided stool samples at ≤4 time points (NCT03651622: https://clinicaltrials.gov/ct2/show/NCT03651622). Sequencing of the 16S ribosomal RNA gene measured abundances of SCFA-producing intestinal microbes. GC-MS measured total and specific SCFAs (acetate, butyrate, propionate). DXA (body fat percentage and percentage lean mass) and anthropometrics (BMI) measured adiposity. Continuous glucose monitoring [percentage of time in range (70-180 mg/dL), above range (>180 mg/dL), and below range (54-69 mg/dL)] and glycated hemoglobin (i.e., HbA1c) assessed glycemia. Adjusted and Bonferroni-corrected generalized estimating equations modeled the associations of SCFA-producing gut microbes, fecal SCFAs, and intestinal microbial diversity with glycemia and adiposity. COVID-19 interrupted data collection, so models were repeated restricted to pre-COVID-19 visits. RESULTS: Data were available for ≤45 participants at 101 visits (including 40 participants at 54 visits pre-COVID-19). Abundance of Eubacterium hallii was associated inversely with BMI (all data). Pre-COVID-19, increased fecal propionate was associated with increased percentage of time above range and reduced percentage of time in target and below range; and abundances of 3 SCFA-producing taxa (Ruminococcus gnavus, Eubacterium ventriosum, and Lachnospira) were associated inversely with body fat percentage, of which two microbes were positively associated with percentage lean mass. Abundance of Anaerostipes was associated with reduced percentage of time in range (all data) and with increased body fat percentage and reduced percentage lean mass (pre-COVID-19). CONCLUSIONS: Unexpectedly, fecal propionate was associated with detriment to glycemia, whereas most SCFA-producing intestinal microbes were associated with benefit to adiposity. Future studies should confirm these associations and determine their potential causal linkages in T1D.This study is registered at clinical.trials.gov (NCT03651622; https://clinicaltrials.gov/ct2/show/NCT03651622).

Introduction Job satisfaction and retention of military and civilian nurses and physicians who work in military treatment facilities (MTFs) are critical to maintaining quality of care and operational readiness. Civilian nurses and physicians working in MTFs supplement staffing for active duty military nurses and physicians and support operational readiness when military nurses and physicians deploy in wartime crises or humanitarian efforts. Decreased retention of military and civilian nurses and physicians can negatively impact operational readiness and patient care outcomes. Although several factors (e.g., burnout, pay, and leadership) influence job satisfaction and retention among nurses and physicians in both military and civilian healthcare settings, high-quality communication and relationships between nurses and physicians are associated with better job satisfaction and retention. However, little is known about how high-quality communication and relationships affect job satisfaction and retention among nurses and physicians in MTFs. Relational coordination (RC) is a process of high-quality communication supported by relationships of shared knowledge, shared goals, and mutual respect among members of the healthcare team. By strengthening RC, hospital leaders can more effectively achieve desired outcomes. The purpose of this study was to explore how RC influences job satisfaction and intent to stay among nurses, residents, and physicians in an Army hospital, and whether job satisfaction mediated the relationship between RC and intent to stay. Materials and Methods We conducted an exploratory, cross-sectional study in a 138-bed MTF in the southeastern USA and invited a convenience sample of military and civilian nurses, residents, and physicians to complete a 47-item survey on RC, job satisfaction, and intent to stay. We used Pearson’s correlation to explore relationships between RC, job satisfaction, and intent to stay and then employed multiple regression to explore whether RC predicts job satisfaction and intent to stay, after controlling for professional role, demographic characteristics, and other covariates. Furthermore, we explored whether job satisfaction mediates the relationship between RC and intent to stay. Results Two hundred and eighty-nine participants completed the survey. Seventy percentage of respondents were civilian, were Caucasian (61%), and had a mean age of 40 years old. The RCs within roles (β = 0.76, P Conclusion Our findings suggest that RC is a powerful workplace dynamic that influences job satisfaction and intent to stay, for nurses, residents, and physicians in MTFs. Specifically, we found that RC was positively associated with job satisfaction and intent to stay and that job satisfaction mediates the relationship between RC and intent to stay. We recommend that hospital leaders in MTFs explore interventions to strengthen RC among health professionals by including relational, work process and structural interventions as part of their strategy for retaining military healthcare professionals.

Summary Background Adolescents with type 1 diabetes commonly have poor glycaemic control. We aimed to test the efficacy of a newly developed adaptive behavioral intervention (Flexible Lifestyles Empowering Change; FLEX) on metabolic and psychosocial outcomes in adolescents with type 1 diabetes. Methods Young people (13–16 years, type 1 diabetes duration >1 year, HbA1c of 64–119 mmol/mol [8·0–13·0%], and without other serious medical conditions or pregnancy) from two clinical sites (Colorado and Ohio, USA) were eligible for enrolment. One caregiver was required to participate actively in the study. Adolescent participants were randomly assigned to the FLEX intervention, which used motivational interviewing and problem-solving skills training to enhance patients' self-management, or usual care control. Intervention fidelity was assessed by a behavioral psychologist with specific expertise in motivational interviewing and who was not otherwise involved in the study via audiotaped sessions. The primary outcome was measurement of glycated haemoglobin A1c (HbA1c) at 18 months. Secondary outcomes included motivation and intention, problem solving skills, self-management behaviors, symptoms of depression, health related quality of life, fear of hypoglycemia, diabetes family conflict, risk factors for T1D complications (BMI, blood pressure, and plasma lipids), and hypoglycemia derived from continuous glucose monitoring (percent time below 3·0 and 3·9 mmol/l [54 and 70 mg/dl]). Intention-to-treat analyses used mixed effects models, with fixed effects including site, timepoint, intervention group, intervention by timepoint, and baseline level of primary (HbA1c) or secondary outcomes (α=0·05). FLEX is registered on clinicaltrials.gov , number NCT01286350 . Findings Young people recruited from May 1, 2014 to April 4, 2016 were randomly assigned to FLEX (n=130) or usual care control (n=128). Mean diabetes duration was 6·4 (SD 3·8) years, and 71% (181 out of 256) of patients used insulin pump therapy. Retention was 93%, with 241 out of 258 completing the 18-month assessment. The intervention fidelity score was 4·40 of 5·00 for motivational interviewing and 97% for session content. At 18 months, HbA1c was not significantly different between intervention (83 [13] mmol/mol at baseline; 84 [19] mmol/mol at follow-up); and control (80 [14] mmol/mol at baseline; 82 [17] mmol/mol at follow-up); change in intervention versus control was −0·7 mmol/mol (95% CI −4·7 to 3·4, p=0·75). The intervention was associated with improved scores for motivation (p=0·011), problem solving (p=0·024), diabetes self-management profile (p=0·013), youth report of overall quality of life (p=0·0089), selected domains related to fear of hypoglycaemia (p=0·036 for youth's helplessness or worry; p=0·0051 for parent's efforts to maintain high blood glucose), parent report of diabetes family conflict (p=0·0001), total cholesterol (p=0·038), and diastolic blood pressure (p=0·015). A total of 54 serious adverse events were identified; 34 of these were diabetes-related, including low blood glucose requiring assistance (n=3) and high blood glucose with diabetic ketoacidosis and emergency response (n=25). Interpretation The FLEX intervention did not significantly change HbA1c among these adolescents with elevated HbA1c, but did positively affect several psychosocial outcomes over 18 months. Further analyses will provide information regarding drivers of positive response to the intervention and will point to future directions for improvement in the approach. Funding National Institutes of Health and National Institute of Diabetes Digestive Diseases and Kidney and the Helmsley Charitable Trust.

Hypoglycemia is a major challenge of T1D. We examined the prevalence and correlates of hypoglycemia assessed by 7-day blinded continuous glucose monitoring at baseline among 233 youth with hemoglobin A1c (HbA1c) of 8-13% per inclusion criteria in the Flexible Lifestyles Empowering Change trial. The sample was 76.1% non-Hispanic white and 49.8% female with mean age 14.9±1.1 years and mean T1D duration 6.4±3.7 years. Mean HbA1c was 9.6±1.2%. Over 7-days, 85.4% of youth experienced hypoglycemia (i.e., time ≤70 mg/dL and >54 mg/dL; an average of 32.5±37.3 min/day). 62.7% of youth experienced clinically serious hypoglycemia (i.e., time ≤54 mg/dL; an average of 24.5±40.5 min/day). Duration of hypoglycemia was inversely associated with HbA1c (Figure). In logistic regression modeling, sex, race/ethnicity, T1D duration, body mass index z-score (BMIz), fear of hypoglycemia (from the Hypoglycemia Fear Survey) and diabetes adherence (from the Diabetes Self-Management Profile-Self Report) were not associated with hypoglycemia. Youth with higher HbA1c were less likely to experience hypoglycemia (for a 1% higher HbA1c, odds ratio (OR) for clinical hypoglycemia: 0.52, (95% CI 0.39, 0.69); OR for clinically serious hypoglycemia: 0.58 (95% CI 0.43, 0.77)). The data suggest that hypoglycemia is common among youth with elevated HbA1c and and guidance to limit hypoglycemia should be part of care in these patients. Disclosure A.R. Kahkoska: None. J. Crandell: None. K.A. Driscoll: None. M.R. Kosorok: None. D.M. Maahs: Advisory Panel; Self; Insulet Corporation. Consultant; Self; Abbott. Research Support; Self; Medtronic, Bigfoot Biomedical, Dexcom, Inc., Insulet Corporation, Roche Diabetes Care Health and Digital Solutions. E.J. Mayer-Davis: None.

Excess adiposity is common in youth with type 1 diabetes, yet little is known about the sociodemographic factors that predict longitudinal trajectories of body fat. We analyzed data from 363 females and 379 males with type 1 diabetes over ~9 years of follow-up (mean baseline age 12.8 ± 2.3 years in females, 13.2 ± 2.4 years in males). Estimated body fat percentage (eBFP) was calculated with validated sex- and race/ethnicity-specific equations. Group-based modeling identified three eBFP trajectories for each sex. All female trajectories showed gradual increases, while male trajectories showed gradual decreases (

The objective was to compare the dietary intakes of individuals with type 1 diabetes (T1D) to individuals without diabetes in China.Data are from 1) the 3C Nutrition Ancillary Study, a cross-sectional study of individuals with T1D in China, and 2) the China Health and Nutrition Survey. Dietary intake in both samples was assessed using three 24-hour recalls. ANCOVA and multivariable logistic regression, adjusted for sex, age, and urban-rural residence, were used to assess differences in nutrient and food group intake between participants without diabetes (n=1059) and participants with T1D (n=97), who were stratified by insulin regimen (basal-bolus, n=49, versus fixed, n=48).Participants with T1D had a lower percentage of energy from carbohydrates, higher vegetable intake, and were more likely to consume lowfat cakes and fungi/sea weed compared to participants without diabetes (all p0.05). Distinguishing characteristics of insulin regimen groups also emerged. Participants on fixed regimens had higher intakes of wheat and were less likely to consume fruit and more likely to consume high-fat cakes and dairy compared to participants without diabetes (all p0.05). Participants on basal-bolus regimens were less likely to consume fried foods and more likely to consume fish/shellfish compared to participants without diabetes (all p0.05).Differences in dietary intake between participants with and without T1D in China suggest that dietary modifications are common and reflect carbohydrate-conscious nutrition recommendations for individuals with T1D. Future research should focus on the health effects of these modifications.背景与目的：比较中国1 型糖尿病患者与正常人群的膳食摄入之间的差异。方 法与研究设计：数据来源于3C 营养辅助研究（中国1 型糖尿病横断面研究） 及中国健康与营养调查，两项研究均的膳食摄入量是采用3 天24 小时回顾法 评估的。本研究经调整年龄、性别及城乡差异，应用协方差分析和多因素 Logistic 回归分析比较1 型糖尿病患者（n=97）及正常人群（n=1059）营养素 和食物组分摄入之间的差异，并对1 型糖尿病患者根据胰岛素治疗方式进行分 层分析（基础餐食方案，n=49；固定剂量方案，n=48）。结果：与正常人群 相比，1 型糖尿病患者能量摄入中碳水化合物占的比例较低，蔬菜类较高，更 倾向于摄入低脂点心、木耳、海带类食物（p0.05）。不同胰岛素治疗组之间 亦存在差异。与正常人群相比，使用固定剂量胰岛素方案的1 型糖尿病患者摄 入小麦制品、高脂点心及奶制品较多，而水果类较少（p0.05），使用基础餐 食胰岛素方案的1 型糖尿病患者摄入油炸食品较少而鱼类及海鲜类食品较多 （p0.05）。结论：中国1 型糖尿病患者与正常人群之间膳食摄入的差异提示 1 型糖尿病患者膳食调整比较常见，更关注碳水化合物摄入的饮食指导建议。 未来需要进一步研究这种膳食调整对健康的影响。.

This paper is a report of a synthesis of evidence on implementation of interventions to improve adherence to antiretroviral therapy.Evidence on efficacy must be supplemented with evidence on how interventions were implemented in practice and on how that implementation varied across populations and settings.Sixty-one reports were reviewed of studies conducted in the United States of America in the period 2001 to December 2008. Fifty-two reports were included in the final analysis: 37 reporting the effects of interventions and 15 reporting intervention feasibility, acceptability, or fidelity.An adaptation of Pawson's realist synthesis method was used, whereby a provisional explanatory model and associated list of propositions are developed from an initial review of literature. This model is successively refined to the point at which it best explains empirical findings from the reports reviewed.The final explanatory model suggests that individuals with HIV will be more likely to enroll in interventions that protect their confidentiality, to attend when scheduling is responsive to their needs, and both to attend and continue with an intervention when they develop a strong, one-to-one relationship with the intervener. Participants who have limited prior experience with antiretroviral therapy will be more likely to continue with an intervention than those who are more experienced. Dropout rates are likely to be higher when interventions are integrated into existing delivery systems than when offered as stand-alone interventions.The explanatory model developed in this study is intended to provide guidance to clinicians and researchers on the points in the implementation chain that require strengthening.