Joyce Lee’s research while affiliated with Concordia University Ann Arbor and other places

Objective The purpose of this study is to examine diabetes distress as a potential mediator of the relationship between depression symptoms and diabetes outcomes, including hemoglobin A1c (hemoglobin A1c [HbA1c]) and diabetes management behaviors in a clinical sample of adolescents and young adults. Methods In a pediatric diabetes clinic, 716 youth (ages 12–21 years) completed measures of diabetes distress (Problem Areas in Diabetes-Teen [PAID-T]), a single-item of diabetes distress, and depression (Patient Health Questionnaire [PHQ-9]) as part of standard care. Electronic health records were extracted for the “Six Habits” and glycemic management (HbA1c). Results Overall, 3.6% (n = 26) of adolescents had clinically elevated diabetes distress and depression symptoms, 5.0% had diabetes distress alone, 8.7% had depression symptoms alone, and 82.7% had neither clinical elevation of diabetes distress nor depression symptoms. Results of mediation analysis demonstrated diabetes distress (both full and single-item measures) fully mediated the relationship between depression symptoms and HbA1c (p < .001). Also, mediation analysis results showcase incomplete mediation of the effect of the Six Habits score on HbA1c appears by PAID-T Diabetes Distress. Conclusions In a clinical sample of youth with type 1 diabetes, both depressive symptoms and diabetes distress are associated with HbA1c. Furthermore, diabetes distress fully mediates the relationship between depressive symptoms and HbA1c. As part of standard clinical care, the single-item screener for diabetes distress captured similar results as the full-scaled PAID-T. With limited clinical resources, providers may consider focusing assessment and interventions on the psychological factor of diabetes distress within the diabetes clinic to maximize the impact on glycemic control and consider the use of single-item screening to identify distress.

Introduction Multiple eating patterns can promote glycaemic control and weight loss among patients with type 2 diabetes mellitus (T2D). Clinical practice guidelines for T2D management encourage health professionals to guide patients’ selection of a patient-centred eating pattern. This study aims to characterise beliefs about and recommendations for and against practice guideline-concordant eating patterns among registered dietitians (RDs) and other healthcare professionals who provide nutrition counselling to patients with T2D. Methods This was a cross-sectional online survey. We invited 82 RDs affiliated with an academic health system in the midwestern USA to participate. We also invited health professionals who provide nutrition counselling to patients with T2D and are affiliated with 264 primary care practices within the Michigan Collaborative for Type 2 Diabetes. Participants were asked to select the eating pattern(s) that they commonly recommend or avoid for patients with T2D and why. Results Survey respondents (n=81) most commonly recommend low-carbohydrate (77.8%); Mediterranean-style (52.8%) and energy-modified/calorie-restricted (36.1%) eating patterns. Survey respondents most commonly recommend avoiding very low-carbohydrate (51.0%) and very low-calorie (49.0%) eating patterns. Respondents who did not recommend very low-carbohydrate were most concerned about the eating pattern being too restrictive (93.0%). Conclusions Survey respondents recommend a range of guideline-adherent eating patterns to patients with T2D but tend to recommend against very low-carbohydrate and very low-calorie eating patterns. Additional strategies are needed to increase patient-centred use of these evidence-based options in clinical practice settings.

Common dysglycemia measurements including fasting plasma glucose (FPG), oral glucose tolerance test (OGTT)-derived 2 h plasma glucose, and hemoglobin A1c (HbA1c) have limitations for children. Dynamic OGTT glucose and insulin responses may better reflect underlying physiology. This analysis assessed glucose and insulin curve shapes utilizing classifications—biphasic, monophasic, or monotonically increasing—and functional principal components (FPCs) to predict future dysglycemia. The prospective cohort included 671 participants with no previous diabetes diagnosis (BMI percentile ≥ 85th, 8–18 years old); 193 returned for follow-up (median 14.5 months). Blood was collected every 30 min during the 2 h OGTT. Functional data analysis was performed on curves summarizing glucose and insulin responses. FPCs described variation in curve height (FPC1), time of peak (FPC2), and oscillation (FPC3). At baseline, both glucose and insulin FPC1 were significantly correlated with BMI percentile (Spearman correlation r = 0.22 and 0.48), triglycerides (r = 0.30 and 0.39), and HbA1c (r = 0.25 and 0.17). In longitudinal logistic regression analyses, glucose and insulin FPCs predicted future dysglycemia (AUC = 0.80) better than shape classifications (AUC = 0.69), HbA1c (AUC = 0.72), or FPG (AUC = 0.50). Further research should evaluate the utility of FPCs to predict metabolic diseases.

Objective:Evaluate the associations between household food insecurity and diabetes risk factors among lower-income U.S. adolescents. Design:Cross-sectional analysis. Household food security status was measured using the 18-item Food Security Survey Module. Simple and multivariable linear and logistic regressions were used to assess the association between food security status and fasting plasma glucose (FPG), oral glucose tolerance (OGTT), Hemoglobin A1C (HbA1C), and homeostatic model assessment – insulin resistance (HOMA-IR). The analyses were adjusted for household and adolescent demographic and health characteristics. Setting:United States. Participants:3412 U.S. adolescents aged 12-19 years with household incomes ≤300% of the federal poverty line from the National Health and Nutrition Examination Survey (NHANES) cycles 2007-2016. Results:The weighted prevalence of marginal food security was 15.4% and of food insecurity was 32.9%. After multivariate adjustment, adolescents with food insecurity had a 0.04% higher HbA1C (95% CI: 0.00, 0.09, p-value = 0.04) than adolescents with food security. There was also a significant overall trend between severity of food insecurity and higher HbA1C (p-trend = 0.045). There were no significant mean differences in adolescents’ FPG, OGTT, or HOMA-IR by household food security. Conclusions:Food insecurity was associated with slightly higher HbA1c in a ten-year sample of lower-income U.S. adolescents aged 12-19 years; however, other associations with diabetes risk factors were not significant. Overall, this suggests slight evidence for an association between food insecurity and diabetes risk in U.S. adolescents. Further investigation is warranted to examine this association over time.

Importance Among individuals with obesity, 5% or greater weight loss can improve health. Weight management treatments (WMT) include nutrition counseling, very low-calorie meal replacement (MR), antiobesity medications (AOM), and bariatric surgery; however, little is known about how these WMT are associated with weight change among individual patients and populations. Objective To characterize weight status and WMT use among primary care patients and assess associations between WMT and weight trajectories. Design, Setting, and Participants Retrospective, population-based cohort study of primary care patients from 1 academic health system in Michigan between October 2015 and March 2020 using cross-sectional analysis to compare obesity prevalence and WMT utilization. For patients with obesity and WMT exposure or matched controls, a multistate Markov model assessing associations between WMT and longitudinal weight status trajectories was used. Data were analyzed from October 2021 to October 2023. Exposures Cross-sectional exposure was year: 2017 or 2019. Trajectory analysis exposures were WMT: nutrition counseling, MR, AOM, and bariatric surgery. Main Outcomes and Measures Cross-sectional analysis compared mean body mass index (BMI), obesity prevalence, and, among patients with obesity, prospective WMT use. The trajectory analysis examined longitudinal weight status using thresholds of ±5% and 10% of baseline weight with primary outcomes being the 1-year probabilities of 5% or greater weight loss for each WMT. Results Adult patients (146 959 participants) consisted of 83 636 female participants (56.9%); 8940 (6.1%) were Asian, 14 560 (9.9%) were Black, and 116 664 (79.4%) were White. Patients had a mean (SD) age of 49.6 (17.7) years and mean (SD) BMI of 29.2 (7.2). Among 138 682 patients, prevalence of obesity increased from 39.2% in 2017 to 40.7% in 2019; WMT use among patients with obesity increased from 5.3% to 7.1% (difference: 1.7%; 95% CI, 1.3%-2.2%). In a multistate model (10 180 patients; 33 549 patient-years), the 1-year probability of 5% or greater weight loss without WMT exposure was 15.6% (95% CI, 14.3%-16.5%) at reference covariates. In contrast, the probability of 5% or greater weight loss was more likely with year-long exposures to any WMT (nutrition counseling: 23.1%; 95% CI, 21.3%-25.1%; MR: 54.6%; 95% CI, 46.5%-61.2%; AOM: 27.8%; 95% CI, 25.0%-30.5%; bariatric surgery: 93.0%; 95% CI, 89.7%-95.0%). Conclusions and Relevance In this cohort study of primary-care patients with obesity, all WMT increased the patient-level probability of achieving 5% or greater weight loss, but current rates of utilization are low and insufficient to reduce weight at the population level.

This study examined primary care provider (PCP) alignment with guideline-based care for adolescent depression screening and identified factors associated with post-screening responses. A retrospective chart review was conducted across 17 primary care clinics. Logistical regressions were estimated across provider specialties, sociodemographic factors, and patient clinical histories. Significant differences in follow-up and identification of depression were found among patients with more severe depression presentation. Follow-up screening was also more likely to be completed among patients with private insurance and less likely to occur among Black patients. Patients with significant mental health history of a mood concern, history of being prescribed psychotropic medication, were currently on medications at the time of the screening, or had a history of an internal mental health referral had a higher predicted probability of being identified as depressed on the patient problem list.

Objective: The aim of this study was to evaluate whether short sleep duration or later sleep timing is a risk factor for insulin resistance (IR) in late adolescence. Methods: Mexico City adolescents enrolled in a longitudinal birth cohort (ELEMENT) took part in two study visits during peri-puberty that occurred approximately 2 years apart. IR was assessed with serum glucose and insulin. Four groups were defined using puberty-specific cut points: no IR over the follow-up period, transition from normal to IR, transition from IR to normal, and IR at both time points. Baseline sleep assessments were measured with 7-day wrist actigraphy. Multinomial logistic regression models were used to evaluate associations between sleep duration and timing with homeostatic model assessment of insulin resistance categories, adjusting for age, sex, and baseline pubertal status. Results: Adolescents who were ≥ 1 hour below the sleep duration recommendations-for-age were 2.74 times more likely to develop IR (95% CI: 1.0-7.4). Similarly, adolescents who were in the latest category of sleep midpoint (>4:33 a.m.) were more likely than those with earliest midpoints (1 a.m.-3 a.m.) to develop IR (odds ratio = 2.63, 95% CI: 1.0-6.7). Changes in adiposity over follow-up did not mediate sleep and IR. Conclusions: Insufficient sleep duration and late sleep timing were associated with development of IR over a 2-year period in late adolescence.