Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source.

BACKGROUND: Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures. OBJECTIVE: The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures. DESIGN: Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018. RESULTS: Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity. CONCLUSIONS: The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.

Examination of Psychosocial and Physiological Risk for Bulimic Symptoms in Youth With Type 1 Diabetes Transitioning to an Insulin Pump: A Pilot Study.

Objectives: This study tested hypotheses drawn from a risk model positing that psychosocial risk plus disease-related and treatment factors contribute to bulimic symptoms in youth with type 1 diabetes (T1D) transitioning to an insulin pump. The goal of this study was to examine whether disease-related factors, particularly disease- and treatment-based disruption in hunger and satiety, contribute to report of bulimic symptoms in youth with T1D after accounting for psychosocial risk factors. Methods: 43 youth (ages 10-17, 54% female) with established T1D were recruited before transition from multiple daily injections to insulin-pump therapy from three tertiary pediatric diabetes centers. Participants completed measures of bulimic symptoms, depressive symptoms dietary restraint, and the Diabetes Treatment and Satiety Scale, a diabetes-specific questionnaire assessing hunger and satiety cues and eating behavior in response to blood glucose levels and treatment. Results: Hierarchical multiple regression was used to assess contributions of psychosocial and disease-based risk to report of bulimic symptoms. After assessing the contributions of body mass index, body image dissatisfaction, and dietary restraint, a significant 2-way interaction emerged between depression and diabetes-related uncontrollable hunger related to bulimic symptoms (ß = 1.82, p < .01). Conclusions: In addition to psychosocial risk, disease- and treatment-based hunger and satiety dysregulation appear to be important factors contributing to report of bulimic symptoms in youth with T1D. These preliminary findings have significant treatment implications for bulimic symptoms in youth with T1D.

Topical review: a comprehensive risk model for disordered eating in youth with type 1 diabetes.

OBJECTIVES: Provide an updated literature review on prevalence, measurement, and correlates of disordered eating in youth with Type 1 diabetes (T1D), present a novel theoretical risk model (i.e., The Modified Dual Pathway Model) for disordered eating in youth with T1D incorporating psychosocial and physiological risk factors, and discuss clinical implications. METHODS: Literature review of prevalence, correlates, risk factors, and outcomes of disordered eating behavior (DEB) in youth with T1D. RESULTS: Insulin treatment, subsequent weight gain, and disruptions to hunger and satiety regulation are hypothesized disease-related mechanisms through which the treatment of T1D may increase vulnerability to development of behavior characterized as DEB. The Modified Dual Pathway Model integrates these factors with a validated psychosocial risk (body dissatisfaction, depression, and abstinence violation) model for DEB in nondiabetic youth. CONCLUSIONS: The Modified Dual Pathway model of DEB in youth with T1D is a comprehensive representation of both psychosocial and T1D-related risk factors with the potential to inform future interventions for this population.

Use of technology when assessing adherence to diabetes self-management behaviors.

During the last several decades, a proliferation of sophisticated technology has taken place to facilitate diabetes self-management and improve health outcomes. Blood glucose monitors, insulin pumps, and continuous glucose monitors have significant data storage capacity, which can be used to summarize diabetes health management and outcomes. In the absence of technology errors or failures, and in the context of the multiple psychosocial factors associated with nonadherence, these data have the potential to elucidate diabetes care because they reflect actual patient behaviors. This review provides a summary of the diabetes adherence literature in the context of current American Diabetes Association Clinical Practice Recommendations with a focus on studies that have used objective methods (ie, data derived from technology) to assess diabetes care provider and patient adherence in the areas of glucose monitoring; insulin administration and antihyperglycemic medications; medical nutrition therapy; and physical activity.

Maternal stress predicts postpartum weight retention.

Postpartum weight retention (PPWR) is a significant contributor to the development of overweight and obesity in women of childbearing age. Stress may be a key mechanism making it more difficult for mothers to lose weight in the year following delivery. The aim of this study was to assess whether specific aspects of parenting stress and life stress influence postpartum weight retention in new mothers. Women in late pregnancy or up to 2 months postpartum (n = 123) were enrolled in the study and followed through the first year postpartum. Linear regression models evaluated the associations of parenting stress (isolation, attachment and depressive symptoms) as well as overall life stress at 2, 6, and 12 months postpartum with PPWR at 6 and 12 months. During the first year postpartum, higher depression and life stress were significantly associated with greater PPWR. As the effect of depression diminished, the effect of life stress became significant. Contrary to hypothesized relationships, fewer problems with attachment and less social isolation were significantly associated with greater PPWR. Higher gestational weight gain and African American race were also significantly associated with greater PPWR at both 6 and 12 months. Different types of stress predict weight retention in first time mothers during the first year postpartum. Understanding the relationships between parenting stress, concurrent life stress and PPWR can enhance the development of future interventions that specifically target self-identified stressors, leading to improved weight related outcomes.

Adult obesity treatment and prevention: A trans-agency commentary on the research landscape, gaps, and future opportunities.

Given the high and growing prevalence of obesity among adults in the United States, obesity treatment and prevention are important topics in biomedical and public health research. Although researchers recognize the significance of this problem, much remains unknown about safe and effective prevention and treatment of obesity in adults. In response to the worsening obesity epidemic and the many unknowns regarding the disease, a group of key scientific and program staff members of the National Institutes of Health (NIH) and other federal and non-government agencies gathered virtually in September 2021 to discuss the current state of obesity research, research gaps, and opportunities for future research in adult obesity prevention and treatment. The current article synthesizes presentations given by attendees and shares their organizations' current initiatives and identified gaps and opportunities. By integrating the information discussed in the meeting and current initiatives, we identify potential targets and overlapping priorities for future research, including health equity and disparities in obesity, the heterogeneity of obesity, and the use of technological and innovative approaches in interventions.

5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes: Standards of Care in Diabetes-2023.

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Psychological symptoms and insulin sensitivity in adolescents.

PURPOSE: Symptoms of psychological distress have been linked to low insulin sensitivity in adults; however, little is known about this relationship in pediatric samples. We therefore examined symptoms of depression and anxiety in relation to insulin sensitivity in adolescents. METHODS: Participants were 136 non-treatment-seeking, healthy adolescents (53.2% female) of all weight strata (BMI-z = 1.08 +/- 1.08) between the ages of 12 and 18 years (M = 15.16,SD = 1.55). Adolescents completed questionnaire measures assessing depression and anxiety symptoms. Fasting blood samples for serum insulin and plasma glucose were obtained to estimate insulin sensitivity with the quantitative insulin sensitivity check index. Fat mass and fat-free mass were measured with air displacement plethysmography or dual-energy X-ray absorptiometry. RESULTS: Depressive symptoms were associated with higher fasting insulin and decreased insulin sensitivity even after controlling for fat mass, fat-free mass, height, age, pubertal status, race, and sex (p < 0.01). CONCLUSIONS: As has been described for adults, depressive symptoms are associated with low insulin sensitivity among healthy adolescents. Further experimental and prospective studies are required to determine the directionality of this link.

Maternal stress, physical activity, and body mass index during new mothers' first year postpartum.

We evaluated associations of parenting stress, including depressive symptoms, with 51 first-time mothers' light and moderate physical activity and body mass index during the first year postpartum. The Parenting Stress Index and 24-hour physical activity recalls were completed during the first year postpartum (mean time elapsed since birth: 6 months). Direct relationships between identified variables were tested, and then hierarchical linear regression was used to assess hypothesized relationships among body mass index, physical activity, and parenting stress. Effects of parenting stress on the relationships between postpartum body mass index, light physical activity, and moderate physical activity were evaluated after controlling for factors known to be associated with overweight and low levels of physical activity in women. Mean postpartum body mass index = 27.4 kg/m² ± 7.7, range = 18-50 kg/m². Mean reported hours of light physical activity = 11.2 ± 3.0, and moderate physical activity = 4.5 ± 3.0 per day. Postpartum body mass index was not associated with parenting stress, but was positively related to higher pre-pregnancy body mass index (r = .89, p < .01) and light physical activity (r = .32, p < .05), and was negatively related to moderate physical activity (r = -25, p < .08). Higher postpartum body mass index (ß = .27, p < .05), less concern regarding parenting competence (ß = -.95, p < .001), and more depressive symptoms (ß = .66, p < .01) were associated with more light physical activity (R² = .48, p < .001). More moderate physical activity (R² = .45, p < .001) was associated with lower postpartum body mass index (ß = -.27, p < .05), more concern about parenting competence (ß = 1.0, p < .001), and less depressive symptoms (ß = -.68, p < .01). Higher postpartum body mass index (R² = .89, p < .001) was associated with higher pre-pregnancy body mass index (ß = .99, p < .001), more pregnancy weight gain (ß = .22, p < .001), less attachment (ß = -.68, p < .01), and less social isolation (ß = -.13, p < .02). These data suggest that interventions that target parenting stress and depressive symptoms in addition to physical activity are needed to prevent development of overweight in new mothers.

Childhood Obesity Evidence Base Project: Building Translational Capacity through Meta-Analytic Methods.

Purpose: The purpose of this article is to demonstrate the need for and utility of using a taxonomic approach for evidence aggregation and meta-analyses, with focus on prevention and reduction of childhood obesity in very young children. As evidence has been generated through heterogeneous efforts, it is important that the field makes use of all available evidence to learn what works, for who, and in what circumstances. Methods: The Childhood Obesity Evidence Base (COEB) project conducted a taxonomic meta-analysis, using Grounded Theory to code elements present in reports of existing studies and initiatives, of diverse design and evaluation approaches, which were then mapped onto the levels of the socio-ecologic model. This article is the fourth in a series that describes the COEB project overall. It discusses both generally and specifically how taxonomies contribute to traditional meta-analytic methods, what questions can and cannot be answered, the method's contribution to translational (implementation) capacity, and ability to inform future efforts. Results: The COEB project illustrates how the taxonomic meta-analytic approach broadens the evidence base, increases translational capacity for effective intervention components, and evaluates the influence of contextual elements to inform future initiatives. How the method is used to establish associations between varying intervention components, contextual elements, and outcomes is discussed. Conclusions: Taxonomies generated through this process can be used for meta-analysis, serving to generate topic-specific questions associated with intervention approaches and outcomes in context, which is adjunctive to traditional meta-analytic methods and can inform public health approaches.

Childhood Obesity Evidence Base Project: A Rationale for Taxonomic versus Conventional Meta-Analysis.

Introduction: There is a great need for analytic techniques that allow for the synthesis of learning across seemingly idiosyncratic interventions. Objectives: The primary objective of this paper is to introduce taxonomic meta-analysis and explain how it is different from conventional meta-analysis. Results: Conventional meta-analysis has previously been used to examine the effectiveness of childhood obesity prevention interventions. However, these tend to examine narrowly defined sections of obesity prevention initiatives, and as such, do not allow the field to draw conclusions across settings, participants, or subjects. Compared with conventional meta-analysis, taxonomic meta-analysis widens the aperture of what can be examined to synthesize evidence across interventions with diverse topics, goals, research designs, and settings. A component approach is employed to examine interventions at the level of their essential features or activities to identify the concrete aspects of interventions that are used (intervention components), characteristics of the intended populations (target population or intended recipient characteristics), and facets of the environments in which they operate (contextual elements), and the relationship of these components to effect size. In addition, compared with conventional meta-analysis methods, taxonomic meta-analyses can include the results of natural experiments, policy initiatives, program implementation efforts and highly controlled experiments (as examples) regardless of the design of the report being analyzed as long as the intended outcome is the same. It also characterizes the domain of interventions that have been studied. Conclusion: Taxonomic meta-analysis can be a powerful tool for summarizing the evidence that exists and for generating hypotheses that are worthy of more rigorous testing.

Childhood Obesity Evidence Base Project: Methods for Taxonomy Development for Application in Taxonomic Meta-Analysis.

Meta-analysis has been used to examine the effectiveness of childhood obesity prevention efforts, yet traditional conventional meta-analytic methods restrict the kinds of studies included, and either narrowly define mechanisms and agents of change, or examine the effectiveness of whole interventions as opposed to the specific actions that comprise interventions. Taxonomic meta-analytic methods widen the aperture of what can be included in a meta-analysis data set, allowing for inclusion of many types of interventions and study designs. The National Collaborative on Childhood Obesity Research Childhood Obesity Evidence Base (COEB) project focuses on interventions intended to prevent childhood obesity in children 2-5 years old who have an outcome measure of BMI. The COEB created taxonomies, anchored in the Social Ecological Model, which catalog specific outcomes, intervention components, intended recipients, and contexts of policies, initiatives, and interventions conducted at the individual, interpersonal, organizational, community, and societal level. Taxonomies were created by discovery from the literature itself using grounded theory. This article describes the process used for a novel taxonomic meta-analysis of childhood obesity prevention studies between the years 2010 and 2019. This method can be applied to other areas of research, including obesity prevention in additional populations.

Childhood Obesity Evidence Base Project: A Systematic Review and Meta-Analysis of a New Taxonomy of Intervention Components to Improve Weight Status in Children 2-5 Years of Age, 2005-2019.

Objective: To evaluate the efficacy of childhood obesity interventions and conduct a taxonomy of intervention components that are most effective in changing obesity-related health outcomes in children 2-5 years of age. Methods: Comprehensive searches located 51 studies from 18,335 unique records. Eligible studies: (1) assessed children aged 2-5, living in the United States; (2) evaluated an intervention to improve weight status; (3) identified a same-aged comparison group; (4) measured BMI; and (5) were available between January 2005 and August 2019. Coders extracted study, sample, and intervention characteristics. Effect sizes [ESs; and 95% confidence intervals (CIs)] were calculated by using random-effects models. Meta-regression was used to determine which intervention components explain variability in ESs. Results: Included were 51 studies evaluating 58 interventions (N = 29,085; mean age = 4 years; 50% girls). Relative to controls, children receiving an intervention had a lower BMI at the end of the intervention (g = 0.10, 95% CI = 0.02-0.18; k = 55) and at the last follow-up (g = 0.17, 95% CI = 0.04-0.30; k = 14; range = 18-143 weeks). Three intervention components moderated efficacy: engage caregivers in praise/encouragement for positive health-related behavior; provide education about the importance of screen time reduction to caregivers; and engage pediatricians/health care providers. Conclusions: Early childhood obesity interventions are effective in reducing BMI in preschool children. Our findings suggest that facilitating caregiver education about the importance of screen time reduction may be an important strategy in reducing early childhood obesity.

Exercise effects on depressive symptoms and self-worth in overweight children: a randomized controlled trial.

OBJECTIVE: To test the dose-response effects of an exercise program on depressive symptoms and self-worth in children. METHOD: Overweight, sedentary children (N = 207, 7-11 years, 58% male, 59% Black) were randomly assigned to low or high dose (20 or 40 min/day) aerobic exercise programs (13 +/- 1.6 weeks), or control group. Children completed the Reynolds Child Depression Scale and Self-Perception Profile for Children at baseline and posttest. RESULTS: A dose-response benefit of exercise was detected for depressive symptoms. A race x group interaction showed only White children's global self-worth (GSW) improved. There was some evidence that increased self-worth mediated the effect on depressive symptoms. CONCLUSIONS: This study shows dose-response benefits of exercise on depressive symptoms and self-worth in children. However, Blacks did not show increased GSW in response to the intervention. Results provide some support for mediation of the effect of exercise on depressive symptoms via self-worth.

Weight-based teasing is associated with gain in BMI and fat mass among children and adolescents at-risk for obesity: A longitudinal study.

BACKGROUND: Youths with overweight and obesity report frequent instances of weight-based teasing. However, little is known about the prospective associations between weight-based teasing and changes in body composition among youth. OBJECTIVE: To assess associations between weight-based teasing and changes in body mass index (BMI) and fat mass in a longitudinal study of youths with, or at-risk for, overweight and obesity. METHODS: One hundred ten youths with, or at-risk for, overweight participated in a longitudinal observational study. The Perception of Teasing Scale was administered at baseline. Height, weight, and body composition were obtained at baseline and at follow-ups (range: 1-15 years). RESULTS: Mean age at baseline was 11.8 years; 53% had overweight/obesity; 36% were non-Hispanic Black; 55% were female; mean follow-up from baseline: 8.5 years. Adjusting for covariates and repeated measures of BMI or fat mass, linear mixed models revealed that weight-based teasing was associated with greater gain of BMI and fat mass across the follow-up period (ps ≤ .007). Adjusting for covariates, youths reporting high weight-based teasing (two standard deviations above the mean) experienced a 33% greater gain in BMI (an additional 0.20 kg/m2 ) and a 91% greater gain in fat mass (an additional 0.65 kg) per year compared with peers who reported no weight-based teasing. CONCLUSIONS: Among youths with, and at-risk for, overweight and obesity, weight-based teasing was associated with greater weight and fat gain.

The selection of comparators for randomized controlled trials of health-related behavioral interventions: recommendations of an NIH expert panel.

OBJECTIVES: To provide recommendations for the selection of comparators for randomized controlled trials of health-related behavioral interventions. STUDY DESIGN AND SETTING: The National Institutes of Health Office of Behavioral and Social Science Research convened an expert panel to critically review the literature on control or comparison groups for behavioral trials and to develop strategies for improving comparator choices and for resolving controversies and disagreements about comparators. RESULTS: The panel developed a Pragmatic Model for Comparator Selection in Health-Related Behavioral Trials. The model indicates that the optimal comparator is the one that best serves the primary purpose of the trial but that the optimal comparator's limitations and barriers to its use must also be taken into account. CONCLUSION: We developed best practice recommendations for the selection of comparators for health-related behavioral trials. Use of the Pragmatic Model for Comparator Selection in Health-Related Behavioral Trials can improve the comparator selection process and help resolve disagreements about comparator choices.

Childhood Obesity Declines Project: Highlights of Community Strategies and Policies.

BACKGROUND: The social ecological model (SEM) is a framework for understanding the interactive effects of personal and environmental factors that determine behavior. The SEM has been used to examine childhood obesity interventions and identify factors at each level that impact behaviors. However, little is known about how those factors interact both within and across levels of the SEM. METHODS: The Childhood Obesity Declines (COBD) project was exploratory, attempting to capture retrospectively policies and programs that occurred in four communities that reported small declines in childhood obesity. It also examined contextual factors that may have influenced initiatives, programs, or policies. Data collection included policy and program assessments, key informant interviews, and document reviews. These data were aggregated by the COBD project team to form a site report for each community (available at www.nccor.org/projects/obesity-declines ). These reports were used to develop site summaries that illustrate how policies, programs, and activities worked to address childhood obesity in each study site. RESULTS/CONCLUSIONS: Site summaries for Anchorage, AK; Granville County, NC; Philadelphia, PA; and New York City, NY, describe those policies and programs implemented across the levels of the SEM to address childhood obesity and examine interactions both across and within levels of the model to better understand what factors appear important for implementation success.

Childhood Obesity Declines Project: A Different Methodology.

BACKGROUND: The evidence for and our understanding of community-level strategies such as policies, system, and environmental changes that support healthy eating and active living is growing. However, researchers and evaluation scientists alike are still not confident in what to recommend for preventing or sustaining declines in the prevalence of obesity. METHODS: The Systematic Screening and Assessment (SSA) methodology was adapted as a retrospective process to confirm obesity declines and to better understand what and how policies and programs or interventions may contribute as drivers. The Childhood Obesity Declines (COBD) project's adaptation of the SSA methodology consisted of the following components: (1) establishing and convening an external expert advisory panel; (2) identification and selection of sites reporting obesity declines; (3) confirmation and review of what strategies occurred and contextual factors were present during the period of the obesity decline; and (4) reporting the findings to sites and the field. RESULTS/DISCUSSION: The primary result of the COBD project is an in-depth examination of the question, "What happened and how did it happen in communities where the prevalence of obesity declined?" The primary aim of this article is to describe the project's methodology and present its limitations and strengths. CONCLUSIONS: Exploration of the natural experiments such that occurred in Anchorage, Granville County, New York City, and Philadelphia is the beginning of our understanding of the drivers and contextual factors that may affect childhood obesity. This retrospective examination allows us to: (1) describe targeted interventions; (2) examine the timeline and summarize intervention implementation; (3) document national, state, local, and institutional policies; and (4) examine the influence of the reach and potential multisector layering of interventions.

Childhood obesity research at the NIH: Efforts, gaps, and opportunities.

Childhood obesity is a major public health challenge. This article describes an overview of the National Institutes of Health (NIH) behavioral and social sciences childhood obesity research efforts. The overview will highlight five areas of childhood obesity research supported by the NIH: (a) basic behavioral and social sciences; (b) early childhood; (c) policies, programs, and environmental strategies; (d) health disparities; and (e) transagency and public-private collaboration. The article also describes potential gaps and opportunities in the areas of childhood obesity and severe obesity, measurement, and sleep.

Depressive Symptoms at Critical Times in Youth With Type 1 Diabetes: Following Type 1 Diabetes Diagnosis and Insulin Pump Initiation.

PURPOSE: Depressive symptoms occur at various times during the life cycle in persons with type 1 diabetes. We investigated depressive symptoms prospectively in youth with new-onset type 1 diabetes and in those beginning pump therapy. METHODS: Youth with type 1 diabetes (N = 96), ages 10-17 years, completed the Children's Depression Inventory (CDI) at baseline and at 1, 6, and 12 months after diabetes onset or pump start; scores ≥13 indicated clinical elevation. The change in depressive symptoms and the association between CDI score and hemoglobin A1c (HbA1c) level were assessed over 1 year. RESULTS: The new-onset group (n = 54) had an HbA1c level of 11.4% ± 2.5%. The pump group (n = 42) had a diabetes duration of 4.1 ± 3.4 years and an HbA1c level of 8.3% ± 1.3%. The baseline median CDI was 5.0 in both groups and remained low over time (ranging from 2.0 to 3.5). Most youth (new onset 72%, pump 81%) scored <13 at all times. Those with a CDI score of ≥13 in month 1 had 9-fold (95% confidence interval: 3-28) and 11-fold (95% confidence interval: 3-38) higher risks of CDI score of ≥13 at 6 and 12 months, respectively, than those with a CDI score of <13. New-onset youth with a CDI score of ≥13 in month 1 had a higher HbA1c level at 6 months (8.3% ± 1.7%) than new-onset youth with a CDI score of <13 (7.2% ± 1.6%, p = .04). CONCLUSIONS: CDI scores over 1 year were similar in the new-onset and pump groups. Youth with elevated CDI in the first month after diagnosis or pump start were significantly more likely to have a CDI score of ≥13 at 6 or 12 months, supporting recommendations to screen for depressive symptoms because of persistence over time. Those with new-onset diabetes and depressive symptoms in the first month had higher HbA1c at 6 months; confirmatory research is needed.