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Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.

ObjectiveThe purpose of this study was to model weight trajectories over a 5-year time period (2012-2016) and their association with behavioural and psychosocial characteristics and health care-related experiences using data from the Patient Outcomes Research to Advance Learning (PORTAL) overweight/obesity cohort.MethodsWeight trajectories for each eligible patient in the PORTAL overweight/obesity cohort (n = 2864) were identified first using growth modelling; trajectories were then grouped using a hierarchical cluster analysis. Weight trajectory clusters that emerged were compared on demographics, and predictors of cluster membership were examined. Clusters were also compared on responses to a survey assessing health behaviours, quality of life, and health care experience completed in 2015 by 49% of the total sample (n = 1391).ResultsSeven distinct weight trajectory clusters were identified: (a) significant weight loss then maintenance; (b) higher stable weight; (c) moderate stable weight; (d) steady weight loss then relapse; (e) weight gain then weight loss; (f) steady weight gain then maintenance; and (g) lower stable weight. Age, sex, race/ethnicity, and body mass index at baseline predicted patient's weight trajectory (P < .001). Over two thirds of patients maintained their weight over the 5-year period. Significant weight loss then maintenance, weight gain then weight loss, and higher stable weight patients were more likely to report receiving weight counselling from their provider. Patients in the significant weight loss then maintenance and lower stable weight clusters were more likely to be physically active than the other clusters.ConclusionFindings suggest variability in patterns of weight change among adults with overweight or obesity who have access to health care and that these patterns differ on demographic, behavioural and psychosocial factors, and health care experience.

Background: We have demonstrated previously that patterns of behavioral adherence in the first 6 months of behavioral lifestyle interventions were associated with significant weight loss at 18 months. In this article, we extend this work to examine patterns of behavioral adherence over 18 months and to explore baseline demographic and psychosocial predictors. Method: Latent class analysis was applied separately to the Weight Loss Maintenance and PREMIER trials data to examine patterns of adherence to the following recommendations: (1) consuming =9 servings of fruits and vegetables per day, (2) =25% of energy from total fat, (3) =7% energy from saturated fat, and (4) =180 minutes of moderate-to-vigorous physical activity per week. Multinomial logistic regression was used to test demographic and psychosocial predictors of latent class membership. Results: Four distinct subgroups with common patterns of behavioral adherence were identified in each trial including, Behavioral Maintainers, who maintained adherence to all behavioral recommendations for 1 year, Nonresponders, who did not adhere to the recommendations at any time point, and latent classes that reflected patterns of adherence to one or two behaviors or behavioral relapse. A significantly higher proportion of Behavioral Maintainers sustained =5% weight loss for 1 year compared with Nonresponders. Participants with higher vitality scores at baseline were more likely to belong to a latent class with long-term adherence to one or more recommendations than the Nonresponders class. Conclusions: Regular assessment of health behaviors and psychosocial measures such as vitality may help identify nonresponders and inform treatment tailoring to improve long-term behavioral and weight outcomes.

Purpose To identify patterns of behavioral adherence among 388 African Americans who participated in the Weight Loss Maintenance trial and examine associated psychosocial factors. Methods Using repeated measures latent class analysis, we modeled patterns of adherence to recommendations regarding fruit and vegetable, total fat, and saturated fat intake and physical activity at baseline, 6, and 18 months. Latent classes were compared on the SF-36 (mental health composite and vitality subscale), Perceived Stress Scale, and PHQ-8 at each time point. Results Three distinct latent classes emerged: Nutrition Adherers (n = 96); Physical Activity Adherers (n = 61); and Non-Adherers (n = 231). All groups showed initial improvement in psychosocial measures followed by relapse. Non-Adherers had significantly lower mean mental health and vitality scores and higher depression scores than adherers at 6 and 18 months. Conclusion Psychological well-being should be addressed with African Americans in weight loss treatment to enhance behavior change and improve weight loss outcomes., Author(s): Stephanie L. Fitzpatrick [sup.1] , Neon Brooks [sup.1] , Bethany Bray [sup.2] , Victor J. Stevens [sup.1] Author Affiliations: (1) grid.414876.8, 0000 0004 0455 9821, Kaiser Permanente Center for [...]

Objective: Although emerging studies examine the inverse relationship between body satisfaction and disordered eating for Black women, it has not been established how racially salient aspects of body satisfactionmay have implications for eating behaviors and longitudinal health outcomes. Method: In a longitudinal sample of 455 Blackwomen, we examined whether skin color satisfaction across ages 10-15was directly related to adult health outcomes at age 40 (e.g., disordered eating, self-esteem, self-reported health, depressive symptoms, and cardiovascular risk). We also investigated the indirect impact of skin color satisfaction on adult health, mediated by body satisfaction, and binge eating. Results: No significant direct or indirect effects of adolescent skin color satisfaction were observed for depressive symptoms or cardiovascular health outcomes. At ages 10 and 12, skin color satisfaction had negative and positive direct effects, respectively, on self-esteem. At age 15, greater skin color satisfaction was directly associated with greater self-reported health. Post hoc analyses revealed that when additionally accounting for adolescent body satisfaction, greater skin color satisfaction was indirectly associated with greater self-esteem and self-reported health, alongside lower cardiovascular risk. Conclusions: Although previous research suggests that in adolescence, Black girls' skin color satisfaction affects both body satisfaction and disordered eating behaviors, this association does not hold into midlife. Rather, post hoc analyses suggest that the lasting effects of adolescent skin color satisfaction are mediated by the longitudinal stability of body satisfaction, which in turn, is associated with adult health outcomes. [ABSTRACT FROM AUTHOR]

Background: Disasters are destructive, potentially traumatic events that affect millions of youth each year. Objective: The purpose of this paper was to review the literature on depressive symptoms among youth after disasters. Specifically, we examined the prevalence of depression, risk factors associated with depressive symptoms, and theories utilized in this research area. Methods: We searched MEDLINE, PsycInfo, and PubMed electronic databases for English language articles published up to May 1, 2013. Reference lists from included studies were reviewed to capture additional studies. Only quantitative, peer reviewed studies, conducted with youth under the age of 18 years, that examined postdisaster depressive symptoms were included. Seventy-two studies met inclusion criteria. Prevalence of depressive symptoms, disaster type, correlates of depressive symptoms, and theories of depressive symptoms were reviewed. Results: Only 27 studies (38%) reported on prevalence rates among youth in their sample. Prevalence rates of depression among youth postdisaster ranged from 2 to 69%. Potential risk factors were identified (e.g., female gender, exposure stressors, posttraumatic stress symptoms). Theories were examined in less than one-third of studies (k = 21). Conclusions: Given the variability in prevalence rates, difficulty identifying a single profile of youth at risk for developing depressive symptoms, and lack of a unifying theory emerging from the studies, recommendations for future research are discussed. Use of established batteries of assessments could enable comparisons across studies. Merging existing theories from children's postdisaster and depression literatures could aid in the identification of risk factors and causal pathways.

An editorial is presented on a year of leading Diabetes Care, emphasizing initiatives to enhance diversity, expedite manuscript processing, and foster collaborations to address critical issues in diabetes care and prevention. Topics discussed include the impact of COVID-19, global health disparities, and the journal's efforts to broaden accessibility and maintain high citation metrics.

Objective: Diabetes Prevention Programs (DPP) are effective at reducing diabetes incidence via clinically significant weight loss. Co‐morbid mental health condition(s) may reduce the effect of DPP administered in‐person and telephonically but this has not been assessed for digital DPP. This report examines the moderating effect of mental health diagnosis on weight change among individuals who enrolled in digital DPP (enrollees) at 12 and 24 months. Methods: Secondary analysis of prospective, electronic health record data from a study of digital DPP among adults (N = 3904) aged 65–75 with prediabetes (HbA1c 5.7%–6.4%) and obesity (BMI ≥30 kg/m2). Results: Mental health diagnosis only moderated the effect of digital DPP on weight change during the first 7 months (p = 0.003) and the effect attenuated at 12 and 24 months. Results were unchanged after adjusting for psychotropic medication use. Among those without a mental health diagnosis, digital DPP enrollees lost more weight than non‐enrollees: −4.17 kg (95% CI, −5.22 to −3.13) at 12 months and −1.88 kg (95% CI, −3.00 to −0.76) at 24 months, whereas among individuals with a mental health diagnosis, there was no difference in weight loss between enrollees and non‐enrollees at 12 and 24 months (−1.25 kg [95% CI, −2.77 to 0.26] and 0.02 kg [95% CI, −1.69–1.73], respectively). Conclusions: Digital DPP appears less effective for weight loss among individuals with a mental health condition, similar to prior findings for in‐person and telephonic modalities. Findings suggest a need for tailoring DPP to address mental health conditions. [ABSTRACT FROM AUTHOR]

Identification of patients with poor chronic disease self-management skills can facilitate treatment planning, determine effectiveness of interventions, and reduce disease complications. This paper describes the use of a Rasch model, the Rating Scale Model, to examine psychometric properties of the 50-item Health Problem-Solving Scale (HPSS) among 320 African American patients with high risk for cardiovascular disease. Items on the positive/effective HPSS subscales targeted patients at low, moderate, and high levels of positive/effective problem solving, whereas items on the negative/ineffective problem solving subscales mostly targeted those at moderate or high levels of ineffective problem solving. Validity was examined by correlating factor scores on the measure with clinical and behavioral measures. Items on the HPSS show promise in the ability to assess health-related problem solving among high risk patients. However, further revisions of the scale are needed to increase its usability and validity with large, diverse patient populations in the future., Author(s): Stephanie L. Fitzpatrick[sup.1] , Felicia Hill-Briggs[sup.2] Author Affiliations: (1) Department of Preventive Medicine, Rush University Medical Center, 1700 W. Van Buren St., Room 478A, 60607, Chicago, IL, USA (2) [...]

Objective: Given the effectiveness of both in‐person and digital diabetes prevention programs (DPPs), participants have an opportunity to select a delivery mode based on their needs and preferences. The objective of this study was to understand and compare participants' experiences with digital and in‐person DPPs to identify factors that affected how useful participants perceived these two program delivery modes. Methods: Semi‐structured interviews with participants who were enrolled in DPPs as either a digital (n = 23) or in‐person (n = 20) program within one health care system were conducted. Data were analyzed following the template method using the qualitative software NVivo 12. Results: Findings from the interviews indicated that creating accountability for weight loss was crucial for all program participants. In the digital program, weight and food tracking played a central role in creating accountability, while in the in‐person program, group interactions fostered accountability. The digital program was perceived to encourage self‐monitoring, oftentimes resulting in participants' reflection on their habits. The in‐person program provided a platform for group support and mutual encouragement. Conclusions: Participants perceived both programs as similarly useful. Yet program characteristics such as the ability to engage with other participants in‐person or to seamlessly track weight on a daily basis appealed to different participants. It may be beneficial to align participants' preferences with programs' characteristics and strengths. [ABSTRACT FROM AUTHOR]