Pre-exercise protein intake is associated with reduced time in hypoglycaemia among adolescents with type 1 diabetes

AIM

Secondary analyses were conducted from a randomized trial of an adaptive behavioural intervention to assess the relationship between protein intake (g and g/kg) consumed within 4 h before moderate-to-vigorous physical activity (MVPA) bouts and glycaemia during and following MVPA bouts among adolescents with type 1 diabetes (T1D).

MATERIALS AND METHODS

Adolescents (n = 112) with T1D, 14.5 (13.8, 15.7) years of age and 36.6% overweight/obese, provided measures of glycaemia using continuous glucose monitoring [percentage of time above range (>180 mg/dl), time in range (70-180 mg/dl), time below range (TBR; <70 mg/dl)], self-reported physical activity (previous day physical activity recalls), and 24 h dietary recall data at baseline and 6 months post-intervention. Mixed effects regression models adjusted for design (randomization assignment, study site), demographic, clinical, anthropometric, dietary, physical activity and timing covariates estimated the association between pre-exercise protein intake on percentage of time above range, time in range and TBR during and following MVPA.

RESULTS

Pre-exercise protein intakes of 10-19.9 g and >20 g were associated with an absolute reduction of -4.41% (p = .04) and -4.83% (p = .02) TBR during physical activity compared with those who did not consume protein before MVPA. Similarly, relative protein intakes of 0.125-0.249 g/kg and ≥0.25 g/kg were associated with -5.38% (p = .01) and -4.32% (p = .03) absolute reductions in TBR during physical activity. We did not observe a significant association between protein intake and measures of glycaemia following bouts of MVPA.

CONCLUSIONS

Among adolescents with T1D, a dose of ≥10 g or ≥0.125 g/kg of protein within 4 h before MVPA may promote reduced time in hypoglycaemia during, but not following, physical activity.

Youth-Onset Type 2 Diabetes: The Epidemiology of an Awakening Epidemic

In this narrative review, we describe the epidemiology (prevalence, incidence, temporal trends, and projections) of type 2 diabetes among children and adolescents (<20 years), focusing on data from the U.S. and reporting global estimates where available. Secondarily, we discuss the clinical course of youth-onset type 2 diabetes, from prediabetes to complications and comorbidities, drawing comparisons with youth type 1 diabetes to highlight the aggressive course of this condition, which, only recently, has become recognized as a pediatric disease by health care providers. Finally, we end with an overview of emerging topics in type 2 diabetes research that have potential to inform strategies for effective preventive action at the community and individual levels.

Association of Metformin With the Development of Age-Related Macular Degeneration

Importance

Age-related macular degeneration (AMD) is a leading cause of blindness with no treatment available for early stages. Retrospective studies have shown an association between metformin and reduced risk of AMD.

Objective

To investigate the association between metformin use and age-related macular degeneration (AMD).

Design, Setting, and Participants

The Diabetes Prevention Program Outcomes Study is a cross-sectional follow-up phase of a large multicenter randomized clinical trial, Diabetes Prevention Program (1996-2001), to investigate the association of treatment with metformin or an intensive lifestyle modification vs placebo with preventing the onset of type 2 diabetes in a population at high risk for developing diabetes. Participants with retinal imaging at a follow-up visit 16 years posttrial (2017-2019) were included. Analysis took place between October 2019 and May 2022.

Interventions

Participants were randomly distributed between 3 interventional arms: lifestyle, metformin, and placebo.

Main Outcomes and Measures

Prevalence of AMD in the treatment arms.

Results

Of 1592 participants, 514 (32.3%) were in the lifestyle arm, 549 (34.5%) were in the metformin arm, and 529 (33.2%) were in the placebo arm. All 3 arms were balanced for baseline characteristics including age (mean [SD] age at randomization, 49 [9] years), sex (1128 [71%] male), race and ethnicity (784 [49%] White), smoking habits, body mass index, and education level. AMD was identified in 479 participants (30.1%); 229 (14.4%) had early AMD, 218 (13.7%) had intermediate AMD, and 32 (2.0%) had advanced AMD. There was no significant difference in the presence of AMD between the 3 groups: 152 (29.6%) in the lifestyle arm, 165 (30.2%) in the metformin arm, and 162 (30.7%) in the placebo arm. There was also no difference in the distribution of early, intermediate, and advanced AMD between the intervention groups. Mean duration of metformin use was similar for those with and without AMD (mean [SD], 8.0 [9.3] vs 8.5 [9.3] years; P = .69). In the multivariate models, history of smoking was associated with increased risks of AMD (odds ratio, 1.30; 95% CI, 1.05-1.61; P = .02).

Conclusions and Relevance

These data suggest neither metformin nor lifestyle changes initiated for diabetes prevention were associated with the risk of any AMD, with similar results for AMD severity. Duration of metformin use was also not associated with AMD. This analysis does not address the association of metformin with incidence or progression of AMD.

Prevalence and Predictors of Household Food Insecurity and Supplemental Nutrition Assistance Program Use in Youth and Young Adults With Diabetes: The SEARCH for Diabetes in Youth Study

OBJECTIVE

To assess the prevalence of household food insecurity (HFI) and Supplemental Nutrition Assistance Program (SNAP) participation among youth and young adults (YYA) with diabetes overall and by type, and sociodemographic characteristics.

RESEARCH DESIGN AND METHODS

The study included participants with youth-onset type 1 diabetes and type 2 diabetes from the SEARCH for Diabetes in Youth study. HFI was assessed using the 18-item U.S. Household Food Security Survey Module (HFSSM) administered from 2016 to 2019; three or more affirmations on the HFSSM were considered indicative of HFI. Participants were asked about SNAP participation. We used χ2 tests to assess whether the prevalence of HFI and SNAP participation differed by diabetes type. Multivariable logistic regression models were used to examine differences in HFI by participant characteristics.

RESULTS

Of 2,561 respondents (age range, 10-35 years; 79.6% ≤25 years), 2,177 had type 1 diabetes (mean age, 21.0 years; 71.8% non-Hispanic White, 11.8% non-Hispanic Black, 13.3% Hispanic, and 3.1% other) and 384 had type 2 diabetes (mean age, 24.7 years; 18.8% non-Hispanic White, 45.8% non-Hispanic Black, 23.7% Hispanic, and 18.7% other). The overall prevalence of HFI was 19.7% (95% CI 18.1, 21.2). HFI was more prevalent in type 2 diabetes than type 1 diabetes (30.7% vs. 17.7%; P <  0.01). In multivariable regression models, YYA receiving Medicaid or Medicare or without insurance, whose parents had lower levels of education, and with lower household income had greater odds of experiencing HFI. SNAP participation was 14.1% (95% CI 12.7, 15.5), with greater participation among those with type 2 diabetes compared with those with type 1 diabetes (34.8% vs. 10.7%; P < 0.001).

CONCLUSIONS

Almost one in three YYA with type 2 diabetes and more than one in six with type 1 diabetes reported HFI in the past year-a significantly higher prevalence than in the general U.S. population.

More hypoglycemia not associated with increasing estimated adiposity in youth with type 1 diabetes

BACKGROUND

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

IMPACT

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.

A Longitudinal View of Disparities in Insulin Pump Use Among Youth with Type 1 Diabetes: The SEARCH for Diabetes in Youth Study

Objective: To evaluate changes in insulin pump use over two decades in a national U.S. sample. Research Design and Methods: We used data from the SEARCH for Diabetes in Youth study to perform a serial cross-sectional analysis to evaluate changes in insulin pump use in participants <20 years old with type 1 diabetes by race/ethnicity and markers of socioeconomic status across four time periods between 2001 and 2019. Multivariable generalized estimating equations were used to assess insulin pump use. Temporal changes by subgroup were assessed through interactions. Results: Insulin pump use increased from 31.7% to 58.8%, but the disparities seen in pump use persisted and were unchanged across subgroups over time. Odds ratio for insulin pump use in Hispanic (0.57, confidence interval [95% CI] 0.45-0.73), Black (0.28, 95% CI 0.22-0.37), and Other race (0.49, 95% CI 0.32-0.76) participants were significantly lower than White participants. Those with ≤high school degree (0.39, 95% CI 0.31-0.47) and some college (0.68, 95% CI 0.58-0.79) had lower use compared to those with ≥bachelor's degree. Those with public insurance (0.84, 95% CI 0.70-1.00) had lower use than those with private insurance. Those with an annual household income <$25K (0.43, 95% CI 0.35-0.53), $25K-$49K (0.52, 95% CI 0.43-0.63), and $50K-$74K (0.79, 95% CI 0.66-0.94) had lower use compared to those with income ≥$75,000. Conclusion: Over the past two decades, there was no improvement in the racial, ethnic, and socioeconomic inequities in insulin pump use, despite an overall increase in use. Studies that evaluate barriers or test interventions to improve technology access are needed to address these persistent inequities.

OR28-2 Assessing Longitudinal Disparities in Insulin Pump Use Among Youth with Type 1 Diabetes

Background

Insulin pump use provides many advantages for the management of type 1 diabetes (T1D), but studies have shown racial, ethnic, and socioeconomic inequities in the use of this technology. As the prevalence of insulin pump use has increased over the past two decades, we aimed to determine whether these inequities have increased or diminished over time.

Methods

We used data from the population-based SEARCH for Diabetes in Youth study to perform a serial cross-sectional analysis to evaluate changes over time in insulin pump use in participants <20 years old with T1D by racial and ethnic group, health insurance, household income, and formal parental education across 4 phases of the study (Phase 1: 2001-2005, Phase 2: 2006-2010, Phase 3: 2011-2015 and Phase 4: 2016-2019). Data from the last study visit were analyzed for those with multiple visits within a phase. Multivariable generalized estimating equations with a binomial distribution were used to assess probability of insulin pump use, and models were further adjusted for the other predictors–age at visit, diabetes duration, sex and clinic site--with clustering for individuals. An interaction effect between each primary predictor (race and ethnicity, health insurance, household income, education) and the phase variable was used to assess temporal changes.

Results

The prevalence of insulin pump use increased from 30% in Phase 1 to 58.3% in Phase 4 . Compared to those of non-Hispanic (NH) white race, odds of pump use in Hispanic participants was 0.08 (95% CI 0.01-0.63) in Phase 2 and 0.65 (95% CI 0.48-0.87) in Phase 4 with significantly reduced disparities over time (p=0.05). The disparities for Black participants and those of other races did not change over time, but was significantly lower than for white participants in all periods (0.28 (95%CI 0.21-0.37) and 0.43 (95%CI 0.26-0.71), respectively). Across all time periods, T hose with some high school/high school degree and those with some college had lower odds of pump use compared to those with at least a bachelor's degree 0.38 (95%CI 0.30-0.48) and 0.69 (95%CI 0.57-0.82). T hose with public insurance had lower odds for pump use compared to those with private insurance 0.84 (0.68-1.03). T hose with an income of < $25K, $25K-$49K, and $50K-74K had lower odds of pump use of 0.43 (95%CI 0.34-0.54), 0.57 (95%CI 0.46-0.71) and 0.80 (95%CI 0.65-0.97) compared to those with household incomes ≥ $75,000.

Conclusion

Over the past two decades, there have been no improvements in the ethnic, racial, and socioeconomic inequities in insulin pump use among youth with T1D. Studies that evaluate barriers or test interventions to improve technology access are needed to address the persistent inequities in diabetes care.

Presentation: Tuesday, June 14, 2022 10:00 a.m. - 10:15 a.m.

The Gut Microbiota and Short-Chain Fatty Acids in Association With Glycemia and Adiposity in Young Adults With Type 1 Diabetes: The ACT1ON Ancillary Gut Microbiome Pilot Study

Objectives

Co-managing glycemia and adiposity is the cornerstone of cardiometabolic risk reduction among people with type 1 diabetes (T1D) but targets are often not met. The gut microbiota and microbiota-derived short-chain fatty acids (SFCA) influence glycemia and adiposity but have not been sufficiently investigated in longstanding T1D. We hypothesized that an increased abundance of SCFA-producing gut microbes, fecal SCFA, and gut microbial diversity were associated with improved glycemia but increased adiposity among young adults with longstanding T1D.

Methods

Participants provided stool samples at up to four time points. 16S rRNA gene sequencing determined the abundance of SCFA-producing gut microbes. Gas-chromatography mass-spectrometry determined total and specific SCFA (acetate, butyrate, and propionate). Dual-energy x-ray absorptiometry (% body fat or lean mass) and anthropometrics (body mass index [BMI]) measured adiposity. Continuous glucose monitoring (time in range [70–180 mg/dl], above range [>180 mg/dl], and below range [54–69 mg/dl]) and hemoglobin A1c assessed glycemia. Adjusted and Bonferroni-corrected generalized estimating equations modeled the associations of SCFA-producing gut microbes, fecal SCFA, and gut microbial diversity with glycemia and adiposity. COVID-19 interrupted data collection, so models were repeated with restriction to pre-COVID visits.

Results

Data were available for up to 45 participants at 101 visits, including 40 participants at 54 visits pre-COVID. The abundance of Eubacterium hallii was associated inversely with BMI (all data). Pre-COVID, increased fecal propionate was associated with increased time above range and reduced time in target and below range; and the increased abundance of four SCFA-producing intestinal microbes (Ruminococcus gnavus, Ruminococcus 2, Eubacterium ventriosum, and Lachnospira) was associated with reduced adiposity (% body fat or BMI), of which two microbes were also associated with increased % lean mass.

Conclusions

Unexpectedly, fecal propionate was associated with detriment to glycemia, while several SCFA-producing gut microbes were associated with benefit to adiposity. Future mechanistic studies may determine whether these associations have causal linkages in T1D.

Funding Sources

National Institute of Diabetes and Digestive and Kidney Diseases.

Design of the advancing care for type 1 diabetes and obesity network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An integrated approach to develop weight management solutions for individuals with type 1 diabetes

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".

Too Much Dietary Flexibility May Hinder, Not Help: Could More Specific Targets for Daily Food Intake Distribution Promote Glycemic Management among Youth with Type 1 Diabetes?

Average glycemic levels among youth with type 1 diabetes (T1D) have worsened in some parts of the world over the past decade despite simultaneous increased uptake of diabetes technology, thereby highlighting the persistent need to identify effective behavioral strategies to manage glycemia during this life stage. Nutrition is fundamental to T1D management. We reviewed the evidence base of eating strategies tested to date to improve glycemic levels among youth with T1D in order to identify promising directions for future research. No eating strategy tested among youth with T1D since the advent of flexible insulin regimens—including widely promoted carbohydrate counting and low glycemic index strategies—is robustly supported by the existing evidence base, which is characterized by few prospective studies, small study sample sizes, and lack of replication of results due to marked differences in study design or eating strategy tested. Further, focus on macronutrients or food groups without consideration of food intake distribution throughout the day or day-to-day consistency may partially underlie the lack of glycemic benefits observed in studies to date. Increased attention paid to these factors by future observational and experimental studies may facilitate identification of behavioral targets that increase glycemic predictability and management among youth with T1D.

Racial and ethnic representation among a sample of nutrition- and obesity-focused professional organizations in the United States

OBJECTIVE

Obesity is a chronic disease that disproportionately affects individuals from nonmajority racial/ethnic groups in the United States. Research shows that individuals from minority racial/ethnic backgrounds consider it important to have access to providers from diverse backgrounds. Health care providers and scientists from minority racial/ethnic groups are more likely than their non-Hispanic White counterparts to treat or conduct research on patients from underrepresented groups. The objective of this study was to characterize the racial/ethnic diversity of nutrition- and obesity-focused professional organizations in the United States.

METHODS

This study assessed race/ethnicity data from several obesity-focused national organizations including The Obesity Society, the Academy of Nutrition and Dietetics (AND), the American Society for Nutrition, and the American Board of Obesity Medicine (ABOM). Each organization was queried via emailed survey to provide data on racial/ethnic representation among their membership in the past 5 years and among elected presidents from 2010 to 2020.

RESULTS

Two of the three professional societies queried did not systematically track race/ethnicity data at the time of query. Limited tracking data available from AND show underrepresentation of Black (2.6%), Asian (3.9%), Latinx (3.1%), Native Hawaiian or Pacific Islander (1.3%), or indigenous (American Indian or Alaskan Native: 0.3%) individuals compared with the US population. Underrepresentation of racial/ethnic minorities was also reported for ABOM diplomates (Black: 6.0%, Latinx: 5.0%, Native American: 0.2%). Only AND reported having racial/ethnic diversity (20%) among the organization's presidents within the previous decade (2010-2020).

CONCLUSIONS

Findings suggest that (1) standardized tracking of race and ethnicity data is needed to fully assess diversity, equity, and inclusion, and (2) work is needed to increase the diversity of membership and leadership at the presidential level within obesity- and nutrition-focused professional organizations. A diverse cadre of obesity- and nutrition-focused health care professionals is needed to further improve nutrition-related health outcomes, including obesity, cardiovascular disease, diabetes, and undernutrition, in this country.

Racial and ethnic representation among a sample of nutrition- and obesity-focused professional organizations in the United States

BACKGROUND

Obesity is a chronic disease that disproportionately affects individuals from nonmajority racial/ethnic groups in the United States. Research shows that individuals from minority racial/ethnic backgrounds consider it important to have access to providers from diverse backgrounds. Health care providers and scientists from minority racial/ethnic groups are more likely than non-Hispanic whites to treat or conduct research on patients from underrepresented groups.

OBJECTIVES

To characterize the racial/ethnic diversity of nutrition- and obesity-focused professional organizations in the United States.

METHODS

This study assessed race/ethnicity data from several obesity-focused national organizations including The Obesity Society, the Academy of Nutrition and Dietetics (AND), the American Society for Nutrition, and the American Board of Obesity Medicine (ABOM). Each organization was queried via emailed survey to provide data on racial/ethnic representation among their membership in the past 5 y and among elected presidents from 2010 to 2020.

RESULTS

Two of the 3 professional societies queried did not systematically track race/ethnicity data at the time of query. Limited tracking data available from AND show underrepresentation of black (2.6%), Asian (3.9%), Latinx (3.1%), Native Hawaiian or Pacific Islander: (1.3%), or indigenous (American Indian or Alaskan Native: 0.3%) individuals compared with the US population. Underrepresentation of racial/ethnic minorities was also reported for ABOM diplomates (black: 6.0%, Latinx: 5.0%, Native American: 0.2%). Only AND reported having racial/ethnic diversity (20%) among the organization's presidents within the previous decade (2010-2020).

CONCLUSIONS

Findings suggest that 1) standardized tracking of race and ethnicity data is needed to fully assess diversity, equity, and inclusion, and 2) work is needed to increase the diversity of membership and leadership at the presidential level within obesity- and nutrition-focused professional organizations. A diverse cadre of obesity- and nutrition-focused health care professionals is needed to further improve nutrition-related health outcomes, including obesity, cardiovascular disease, diabetes, and undernutrition, in this country.

Dietary Patterns and All-Cause Mortality: A NESR Systematic Review

Objectives

To inform the 2020–2025 Dietary Guidelines for Americans, the U.S. Departments of Agriculture (USDA) and Health and Human Services (HHS) identified important public health questions to be examined by the 2020 Dietary Guidelines Advisory Committee. The Committee conducted a systematic review with support from USDA's Nutrition Evidence Systematic Review (NESR) team to answer the following question: What is the relationship between dietary patterns consumed and all-cause mortality?

Methods

The Committee developed protocols that described how they would use NESR's systematic review methodology to examine the evidence related to dietary patterns and all-cause mortality. NESR librarians conducted a literature search. NESR analysts dual-screened the results using pre-defined inclusion and exclusion criteria to identify articles published between 2000 and 2019 that evaluated dietary patterns and all-cause mortality. NESR analysts extracted data and assessed risk of bias of included studies. The Committee synthesized the evidence, developed conclusion statements, and graded the strength of the evidence underlying the conclusion statements.

Results

This review included one hundred and fifty-three studies, which were well-designed and conducted using rigorous methods, with low or moderate risks of bias. Precision, directness, and generalizability were demonstrated across the body of evidence. Results across studies were highly consistent in the foods and beverages included in the dietary patterns associated with reduced ACM risk. Robustness of results were confirmed by analyses with confounding factors.

Conclusions

Strong evidence demonstrates that dietary patterns in adults and older adults characterized by vegetables, fruits, legumes, nuts, whole grains, unsaturated vegetable oils, and fish, lean meat or poultry when meat was included, are associated with decreased risk of all-cause mortality. These patterns were also relatively low in red and processed meat, high-fat dairy, and refined carbohydrates or sweets. Some of these dietary patterns also included alcoholic beverages in moderation. (Grade: Strong)

Funding Sources

USDA, Food and Nutrition Service, Center for Nutrition Policy and Promotion, Alexandria, VA.

Dietary Patterns and Bone Health: A NESR Systematic Review

Objectives

To inform the 2020–2025 Dietary Guidelines for Americans, USDA and HHS identified important public health questions to be examined by the 2020 Dietary Guidelines Advisory Committee. The Committee conducted a systematic review with support from USDA's Nutrition Evidence Systematic Review (NESR) team to answer the question: What is the relationship between dietary patterns consumed and bone health?

Methods

The Committee developed protocols that described how they would use NESR's systematic review methodology to examine the evidence. NESR librarians conducted a literature search, and NESR analysts dual-screened the results using pre-defined inclusion and exclusion criteria to identify articles published between 2014 and 2019 that evaluated dietary patterns and bone health, which updates an existing review of evidence from 2000 to 2014. NESR analysts extracted data and assessed risk of bias of included studies. The Committee synthesized the evidence, developed conclusion statements, and graded the strength of the evidence underlying the conclusion statements.

Results

This systematic review update includes seven prospective cohort studies in adults and two in children, in addition to the thirteen studies included in the existing review. Most studies had few risks of bias, with good consistency, directness, precision and generalizability. Results from studies in adults were consistent in the foods and beverages in the dietary patterns associated with reduced fracture risk. Based on this new evidence in adults, the Committee updated the grade from limited to moderate. Evidence in children remains insufficient.

Conclusions

Moderate evidence indicates that a dietary pattern higher in fruits, vegetables, legumes, nuts, low-fat dairy, whole grains, and fish, and lower in meats (particularly processed meats), sugar sweetened beverages, and sweets is associated with favorable bone health outcomes in adults, primarily decreased risk of hip fracture. (Grade: Adults – Moderate) Insufficient evidence is available to determine the relationship between dietary patterns consumed during childhood and bone health. (Grade: Children – Grade not assignable)

Funding Sources

USDA, Food and Nutrition Service, Center for Nutrition Policy and Promotion, Alexandria, VA.

Treatment regimens and glycosylated hemoglobin levels in youth with Type 1 and Type 2 diabetes: Data from SEARCH (United States) and YDR (India) registries

OBJECTIVE

To compare treatment regimens and glycosylated hemoglobin (A1c) levels in Type 1 (T1D) and Type 2 diabetes (T2D) using diabetes registries from two countries-U.S. SEARCH for Diabetes in Youth (SEARCH) and Indian Registry of youth onset diabetes in India (YDR).

METHODS

The SEARCH and YDR data were harmonized to the structure and terminology in the Observational Medical Outcomes Partnership Common Data Model. Data used were from T1D and T2D youth diagnosed <20 years between 2006-2012 for YDR, and 2006, 2008, and 2012 for SEARCH. We compared treatment regimens and A1c levels across the two registries.

RESULTS

There were 4003 T1D (SEARCH = 1899; YDR = 2104) and 611 T2D (SEARCH = 384; YDR = 227) youth. The mean A1c was higher in YDR compared to SEARCH (T1D:11.0% ± 2.9% vs 7.8% ± 1.7%, P < .001; T2D:9.9% ± 2.8% vs 7.2% ± 2.1%, P < .001). Among T1D youth in SEARCH, 65.1% were on a basal/bolus regimen, whereas in YDR, 52.8% were on once/twice daily insulin regimen. Pumps were used by 16.2% of SEARCH and 1.5% of YDR youth with T1D. Among T2D youth, in SEARCH and YDR, a majority were on metformin only (43.0% vs 30.0%), followed by insulin + any oral hypoglycemic agents (26.3% vs 13.7%) and insulin only (12.8% vs 18.9%), respectively.

CONCLUSION

We found significant differences between SEARCH and YDR in treatment patterns in T1D and T2D. A1c levels were higher in YDR than SEARCH youth, for both T1D and T2D, irrespective of the regimens used. Efforts to achieve better glycemic control for youth are urgently needed to reduce the risk of long-term complications.

Comparison of the incidence of diabetes in United States and Indian youth: An international harmonization of youth diabetes registries

OBJECTIVE

Incidence of youth-onset diabetes in India has not been well described. Comparison of incidence, across diabetes registries, has the potential to inform hypotheses for risk factors. We sought to compare the incidence of diabetes in the U.S.-based registry of youth onset diabetes (SEARCH) to the Registry of Diabetes with Young Age at Onset (YDR-Chennai and New Delhi regions) in India.

METHODS

We harmonized data from both SEARCH and YDR to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Data were from youth registered with incident diabetes (2006-2012). Denominators were from census and membership data. We calculated diabetes incidence by averaging the total cases across the entire follow-up period and dividing this by the estimated census population corresponding to the source population for case ascertainment. Incidence was calculated for each of the registries and compared by type and within age and sex categories using a 2-sided, skew-corrected inverted score test.

RESULTS

Incidence of type 1 was higher in SEARCH (21.2 cases/100 000 [95% CI: 19.9, 22.5]) than YDR (4.9 cases/100 000 [95% CI: 4.3, 5.6]). Incidence of type 2 diabetes was also higher in SEARCH (5.9 cases/100 000 [95% CI: 5.3, 6.6] in SEARCH vs 0.5/cases/100 000 [95% CI: 0.3, 0.7] in YDR). The age distribution of incident type 1 diabetes cases was similar across registries, whereas type 2 diabetes incidence was higher at an earlier age in SEARCH. Sex differences existed in SEARCH only, with a higher rate of type 2 diabetes among females.

CONCLUSION

The incidence of youth-onset type 1 and 2 diabetes was significantly different between registries. Additional data are needed to elucidate whether the differences observed represent diagnostic delay, differences in genetic susceptibility, or differences in distribution of risk factors.

Characterization of youth goal setting in the self-management of type 1 diabetes and associations with HbA1c: The Flexible Lifestyle Empowering Change trial

INTRODUCTION

Youth with type 1 diabetes (T1D) commonly do not meet HbA1c targets. Youth-directed goal setting as a strategy to improve HbA1c has not been well characterized and associations between specific goal focus areas and glycemic control remain unexplored.

OBJECTIVE

To inform future trials, this analysis characterized intended focus areas of youth self-directed goals and examined associations with change in HbA1c over a 18 months.

METHODS

We inductively coded counseling session data from youth in the Flexible Lifestyle Empowering Change Intervention (n = 122, 13-16 years, T1D duration >1 year, HbA1c 8-13%) to categorize intended goal focus areas and examine associations between frequency of goal focus areas selected by youth and change in HbA1c between first and last study visit.

RESULTS

We identified 13 focus areas that categorized youth goal intentions. Each session where youth goal setting concurrently incorporated blood glucose monitoring (BGM), continuous glucose monitoring (CGM), and insulin dosing was associated with a 0.4% (95% CI: -0.77, -0.01; P = .03) lower HbA1c at the end of intervention participation. No association was observed between HbA1c and frequency of sessions where goal intentions focused on BG only (without addressing insulin or CGM) (β: 0.07; 95% CI: -0.07, 0.21; P = .33) nor insulin dosing only (without addressing BGM or CGM) (β: 0.00; 95% CI: -0.11, 0.10; P = .95).

CONCLUSIONS

Findings exemplify how guiding youth goal development and combining multiple behaviors proximally related to glycemic control into goal setting may benefit HbA1c among youth with T1D. More research characterizing optimal goal setting practices in youth with T1D is needed.

Receipt of recommended complications and comorbidities screening in youth and young adults with type 1 diabetes: Associations with metabolic status and satisfaction with care

OBJECTIVES

This study sought to: (a) assess the prevalence of diabetes complications and comorbidities screening as recommended by the American Diabetes Association (ADA) for youth and young adults (YYAs) with type 1 diabetes (T1D), (b) examine the association of previously measured metabolic status related to diabetes complications with receipt of recommended clinical screening, and (c) examine the association of satisfaction with diabetes care with receipt of recommended clinical screening.

METHODS

The study included 2172 SEARCH for Diabetes in Youth participants with T1D (>10 years old, diabetes duration >5 years). Mean participant age was 17.7 ± 4.3 years with a diabetes duration of 8.1 ± 1.9 years. Linear and multinomial regression models were used to evaluate associations.

RESULTS

Sixty percent of participants reported having three or more hemoglobin A1c (HbA1c) measurements in the past year. In terms of diabetes complications screening, 93% reported having blood pressure measured, 81% having an eye examination, 71% having lipid levels checked, 64% having a foot exam, and 63% completing albuminuria screening in accordance with ADA recommendations. Youth known to have worse glycemic control in the past had higher odds of not meeting HbA1c screening criteria (OR 1.11, 95% CI = 1.05, 1.17); however, after adjusting for race/ethnicity, this was no longer statistically significant. Greater satisfaction with diabetes care was associated with increased odds of meeting screening criteria for most of the ADA-recommended measures.

CONCLUSIONS

Efforts should be made to improve diabetes complications screening efforts for YYAs with T1D, particularly for those at higher risk for diabetes complications.

The interplay of type 1 diabetes and weight management: A qualitative study exploring thematic progression from adolescence to young adulthood

BACKGROUND

The impact of weight management in persons with type 1 diabetes (T1D) from childhood into adulthood has not been well described. The purpose of the study was to explore qualitative themes presented by young adults with T1D with respect to the dual management of weight and T1D.

METHODS

We analyzed focus group data from 17 young adults with T1D (65% female, age 21.7 ± 2.1 years, HbA1c 8.1% ± 1.5) via inductive qualitative analysis methods. Major themes were compared to themes presented by youth with T1D ages 13-16 years in previously published study in order to categorize thematic progression from early adolescence through adulthood.

RESULTS

Themes from young adults with T1D, when compared to those from youth were categorized as: (a) persistent and unchanged themes, (b) evolving themes, and (c) newly reported themes. Hypoglycemia and a sense of futility around exercise was an unchanged theme. Importance of insulin usage and a healthy relationship with T1D evolved to gather greater conviction. Newly reported themes are unique to integration of adulthood into T1D, such as family planning and managing T1D with work obligations. Young adults also reported negative experiences with providers in their younger years and desire for more supportive provider relationships.

CONCLUSIONS

Issues identified by youth regarding the dual management of T1D and weight rarely resolve, but rather, persist or evolve to integrate other aspects of young adulthood. Individualized and age-appropriate clinical support and practice guidelines are warranted to facilitate the dual management of weight and T1D in persons with T1D.

Trends in prevalence of cardiovascular risk factors from 2002 to 2012 among youth early in the course of type 1 and type 2 diabetes. The SEARCH for Diabetes in Youth Study

BACKGROUND

Given diabetes is an important risk factor for cardiovascular disease (CVD), we examined temporal trends in CVD risk factors by comparing youth recently diagnosed with type 1 diabetes (T1D) and type 2 diabetes (T2D) from 2002 through 2012.

METHODS

The SEARCH for Diabetes in Youth Study identified youth with diagnosed T1D (n = 3954) and T2D (n = 706) from 2002 to 2012. CVD risk factors were defined using the modified Adult Treatment Panel III criteria for metabolic syndrome: (a) hypertension; (b) high-density lipoprotein cholesterol ≤40 mg/dL; (c) triglycerides ≥110 mg/dL; and (d) waist circumference (WC) >90th percentile. Prevalence of CVD risk factors, stratified by diagnosis year and diabetes type, was reported. Univariate and multivariate logistic models and Poisson regression were fit to estimate the prevalence trends for CVD risk factors individually and in clusters (≥2 risk factors).

RESULTS

The prevalence of ≥2 CVD risk factors was higher in youth with T2D than with T1D at each incident year, but the prevalence of ≥2 risk factors did not change across diagnosis years among T1D or T2D participants. The number of CVD risk factors did not change significantly in T1D participants, but increased at an annual rate of 1.38% in T2D participants. The prevalence of hypertension decreased in T1D participants, and high WC increased in T2D participants.

CONCLUSION

The increase in number of CVD risk factors including large WC among youth with T2D suggests a need for early intervention to address these CVD risk factors. Further study is needed to examine longitudinal associations between diabetes and CVD.

Dietary Patterns Associated with Cardiometabolic Risk Factors for Puerto Ricans with and Without Type 2 Diabetes Living in Boston, Massachusetts (P18-063-19)

Objectives

Our aim was to derive dietary patterns that are associated with cardiometabolic risk (CMR) and to quantify their prospective associations with 2-year changes in CMR factors for Puerto Ricans (PR) with and without Type 2 diabetes.

Methods

We used baseline data from the Boston Puerto Rican Health Study, a longitudinal epidemiological study of 45–75-year-old PR living in Boston. Those taking antilipemic medications were excluded. Dietary patterns were derived for participants with and without diabetes separately, using reduced rank regression with 37 food groups as predictors and 5 CMR factors as response variables. Simplified dietary pattern scores (DPscore) reflecting food groups with factor loadings > |0.20| were divided into tertiles to examine associations with population characteristics. We then used multivariable regression to quantify associations between continuous DPscores and changes in 5 individual CMR factors.

Results

For participants with diabetes, 13 food groups explained 64% of the DPscore variation, with positive loadings for pizza, Mexican food, vegetables, diet soft drinks/soda, sweetened beverages, meat, white bread, other grains or pasta, and processed meat; and negative loadings for reduced fat dairy, nuts and seeds, starchy vegetables, soups, and hot cereal. For participants without diabetes, 11 food groups explained 54% of the DPscore, including positive loadings for pizza, Mexican food, meat, white bread, solid fats, sweet baked goods, processed meat, and rice; and negative loadings for intake of nuts and seeds, hot cereal, poultry and water. In multivariable regressions, baseline DPscore was not significantly associated with 2-year change in CMR factors.

Conclusions

We identified population-specific foods that potentially contribute to excess CVD risk for PR with and without diabetes living in the US. Targeted dietary interventions should consider the specific foods identified in this research to improve CVD prevention.

Funding Sources

National Institute of Health, National Heart Blood and Lung Institute, National Institute on Aging.

Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5%) in 4 genes at exome-wide significance, including a series of more than 30 SLC30A8 alleles that conveys protection against T2D, and in 12 gene sets, including those corresponding to T2D drug targets (P = 6.1 × 10-3) and candidate genes from knockout mice (P = 5.2 × 10-3). Within our study, the strongest T2D gene-level signals for rare variants explain at most 25% of the heritability of the strongest common single-variant signals, and the gene-level effect sizes of the rare variants that we observed in established T2D drug targets will require 75,000-185,000 sequenced cases to achieve exome-wide significance. We propose a method to interpret these modest rare-variant associations and to incorporate these associations into future target or gene prioritization efforts.

Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning

The vision for precision medicine is to use individual patient characteristics to inform a personalized treatment plan that leads to the best possible health-care for each patient. Mobile technologies have an important role to play in this vision as they offer a means to monitor a patient's health status in real-time and subsequently to deliver interventions if, when, and in the dose that they are needed. Dynamic treatment regimes formalize individualized treatment plans as sequences of decision rules, one per stage of clinical intervention, that map current patient information to a recommended treatment. However, most existing methods for estimating optimal dynamic treatment regimes are designed for a small number of fixed decision points occurring on a coarse time-scale. We propose a new reinforcement learning method for estimating an optimal treatment regime that is applicable to data collected using mobile technologies in an out-patient setting. The proposed method accommodates an indefinite time horizon and minute-by-minute decision making that are common in mobile health applications. We show that the proposed estimators are consistent and asymptotically normal under mild conditions. The proposed methods are applied to estimate an optimal dynamic treatment regime for controlling blood glucose levels in patients with type 1 diabetes.

Diabetic ketoacidosis at diagnosis of type 1 diabetes and glycemic control over time: The SEARCH for diabetes in youth study

BACKGROUND

The diagnosis of type 1 diabetes (T1D) in youth is often associated with diabetic ketoacidosis (DKA). We aimed to evaluate if the presence of DKA at diagnosis of T1D is associated with less favorable hemoglobin A1c (HbA1c) trajectories over time.

METHODS

The SEARCH for Diabetes in Youth study of 1396 youth aged <20 years with newly diagnosed T1D were followed for up to 13 (median 8 [interquartile range or IQR 6-9]) years after diagnosis. Of these, 397 (28%) had DKA (bicarbonate level < 15 mmol/L and/or pH < 7.25 (venous) or < 7.30 (arterial or capillary) or mention of DKA in medical records) at diabetes onset. Longitudinal HbA1c levels were measured at each follow-up visit (average number of HbA1c measures 3.4). A linear piecewise mixed effects model was used to analyze the effect of DKA status at diagnosis of T1D on long-term glycemic control, adjusting for age at diagnosis, diabetes duration at baseline, sex, race/ethnicity, household income, health insurance status, time-varying insulin regimen and glucose self-monitoring, study site, and baseline fasting C-peptide level.

RESULTS

At baseline, HbA1c levels were significantly higher in youth with T1D diagnosed in DKA vs those who were not (9.9% ± 1.5% vs 8.5% ± 1.4%, respectively). After the first year with diabetes, there was a significant difference in the rate of change in HbA1c levels by DKA status: HbA1c was 0.16% higher each year in youth with DKA compared to those without (interaction P-value<0.0001), after adjusting for aforementioned covariates.

CONCLUSIONS

DKA at T1D diagnosis is associated with worsening glycemic control over time, independent of demographic, socioeconomic, and treatment-related factors and baseline fasting C-peptide.

Targeting risk factors for type 2 diabetes in American Indian youth: the Tribal Turning Point pilot study

BACKGROUND

American Indian (AI) youth are at high risk for type 2 diabetes.

OBJECTIVES

To partner with Eastern Band of Cherokee Indians and Navajo Nation to develop a culturally sensitive behavioural intervention for youth (Tribal Turning Point; TTP) and assess feasibility in an 8-month randomized pilot study.

METHODS

We enrolled 62 overweight/obese AI children (7-10 years) who participated with ≥1 parent/primary caregiver. Intervention participants (n = 29) attended 12 group classes and five individual sessions. Control participants (n = 33) attended three health and safety group sessions. We analysed group differences for changes in anthropometrics (BMI, BMI z-score, waist circumference), cardiometabolic (insulin, glucose, blood pressure) and behavioural (physical activity and dietary self-efficacy) outcomes.

RESULTS

Study retention was 97%, and intervention group attendance averaged 84%. We observed significant treatment effects (p = 0.02) for BMI and BMI z-score: BMI increased in control (+1.0 kg m^-2 , p < 0.001) but not intervention participants (+0.3 kg m^-2 , p = 0.13); BMI z-score decreased in intervention (-0.17, p = 0.004) but not control participants (0.01, p = 0.82). There were no treatment effects for cardiometabolic or behavioural outcomes.

CONCLUSIONS

We demonstrated that a behavioural intervention is feasible to deliver and improved obesity measures in AI youth. Future work should evaluate TTP for effectiveness, sustainability and long-term impact in expanded tribal settings.

The Flexible Lifestyle Empowering Change (FLEX) intervention for self-management in adolescents with type 1 diabetes: Trial design and baseline characteristics

The Flexible Lifestyle Empowering Change (FLEX) Intervention Study is a multi-site randomized controlled trial to test the efficacy of an adaptive behavioral intervention to promote self-management for youth with type 1 diabetes mellitus (T1D). This paper details FLEX design, demographic characteristics of the sample, and outcome variables at baseline. Participants were randomized to either an intervention or control arm after their baseline standardized measurement visit. Baseline data for the primary (glycemic levels) and secondary outcome variables (e.g., motivation and problem-solving, health-related quality of life, risk factors associated with T1D complications) as well as the potential mediator variables (e.g., self-management behavior, family conflict and responsibility) suggest that the study sample was representative of the general population of adolescents with T1D and their parents. The FLEX adaptive intervention is an innovative application of a tailored treatment intervention designed to be readily adopted in real-world practice to meet each adolescent's individualized T1D self-management goals.

Biopsychosocial Aspects of Weight Management in Type 1 Diabetes: a Review and Next Steps

PURPOSE OF REVIEW

This review aims to summarize the type 1 diabetes (T1D) and weight literature with an emphasis on barriers associated with weight management, the unique T1D-specific factors that impact weight loss success, maladaptive and adaptive strategies for weight loss, and interventions to promote weight loss.

RECENT FINDINGS

Weight gain is associated with intensive insulin therapy. Overweight and obese weight status in individuals with T1D is higher than the general population and prevalence is rising. A variety of demographic (e.g., female sex), clinical (e.g., greater insulin needs), environmental (e.g., skipping meals), and psychosocial (e.g., depression, stress) factors are associated with overweight/obese weight status in T1D. Fear of hypoglycemia is a significant barrier to engagement in physical activity. Studies evaluating adaptive weight loss strategies in people with T1D are limited. There is a growing literature highlighting the prevalence and seriousness of overweight and obesity among both youth and adults with T1D. There is an urgent need to develop evidence-based weight management guidelines and interventions that address the unique concerns of individuals with T1D and that concurrently address glycemic control.

Secular and race/ethnic trends in glycemic outcomes by BMI in US adults: The role of waist circumference

BACKGROUND

For the same body mass index (BMI) level, waist circumference (WC) is higher in more recent years. How this impacts diabetes and prediabetes prevalence in the United States and for different race/ethnic groups is unknown. We examined prevalence differences in diabetes and prediabetes by BMI over time, investigated whether estimates were attenuated after adjusting for waist circumference, and evaluated implications of these patterns on race/ethnic disparities in glycemic outcomes.

METHODS

Data came from 12 614 participants aged 20 to 74 years from the National Health and Nutrition Examination Surveys (1988-1994 and 2007-2012). We estimated prevalence differences in diabetes and prediabetes by BMI over time in multivariable models. Relevant interactions evaluated race/ethnic differences.

RESULTS

Among normal, overweight, and class I obese individuals, there were no significant differences in diabetes prevalence over time. However, among individuals with class II/III obesity, diabetes prevalence rose 7.6 percentage points in 2007-2012 vs 1988-1994. This estimate was partly attenuated after adjustment for mean waist circumference but not mean BMI. For prediabetes, prevalence was 10 to 13 percentage points higher over time at lower BMI values, with minimal attenuation after adjustment for WC. All patterns held within race/ethnic groups. Diabetes disparities among blacks and Mexican Americans relative to whites remained in both periods, regardless of BMI, and persisted after adjustment for WC.

CONCLUSIONS

Diabetes prevalence rose over time among individuals with class II/III obesity and may be partly due to increasing waist circumference. Anthropometric measures did not appear to account for temporal increases in prediabetes, nor did they attenuate race/ethnic disparities in diabetes. Reasons underlying these trends require further investigation.

Associations between long chain polyunsaturated fatty acids and cardiovascular lipid risk factors in youth with type 1 diabetes: SEARCH Nutrition Ancillary Study

PURPOSE

In this longitudinal study we explored the relationships between plasma n-3 and n-6 polyunsaturated fatty acids (PUFAs) and Δ5 and Δ6 desaturase activities (D5D and D6D, respectively) and fasting lipids in youth with type 1 diabetes (T1D).

METHODS

Incident cases of T1D in youth <20years of age who were seen for a baseline study visit (N=914) and a 1-year follow-up visit (N=416) were included. Fasting blood samples were obtained at each visit and plasma phospholipid n-6 PUFAs were measured, which included linoleic acid (LA), dihomo-γ-linolenic acid (DGLA) and arachidonic acid (AA); n-3 PUFAs included α-linolenic acid (ALA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA). Estimated D5D and D6D were calculated as FA product-to-precursor ratios, where D5D=AA/DGLA and D6D=DGLA/LA. To examine the longitudinal relationships between long chain PUFAs, desaturase activities and fasting plasma lipids in youth with T1D mixed effects models were used for each individual PUFAs, D5D and D6D, adjusted for demographics, clinic site, diabetes duration, insulin regimen, insulin dose/kg, HbA1c, insulin sensitivity score, and body mass index with random effects to account for the repeated measurements.

FINDINGS

Favorable lipid associations were found between LA and low-density lipoprotein (LDL) cholesterol (β=-0.58, p<0.05); AA, plasma triglycerides (TG) (β=-0.04, p<0.05) and TG/high-density lipoprotein (HDL)-C ratio (β=-0.04, p<0.05); and D5D, plasma TG (β=-0.2, p<0.05) and TG/HDL-cholesterol ratio (β=-0.23, p<0.05). Findings were mixed for the n-3 PUFAs and DGLA: ALA was positively associated with plasma TG (β=0.33, p<0.05) and HDL cholesterol (β=9.86, p<0.05); EPA was positively associated with total cholesterol (β=8.17, p<0.05), LDL cholesterol (β=5.74, p<0.01) and HDL cholesterol (β=2.27, p<0.01); and DGLA was positively associated with TG/HDL-cholesterol ratio (β=0.05, P<0.05).

CONCLUSION

Findings suggest that the most abundant PUFA, LA as well as its metabolic bi-product AA, may be important targets for CVD lipid risk factor reduction in youth with T1D.

Partial Meal Replacement Plan and Quality of the Diet at 1 Year: Action for Health in Diabetes (Look AHEAD) Trial

BACKGROUND

Little is known about diet quality with a reduced-energy, low-fat, partial meal replacement plan, especially in individuals with type 2 diabetes. The Action for Health in Diabetes (Look AHEAD) trial implemented a partial meal replacement plan in the Intensive Lifestyle Intervention.

OBJECTIVE

To compare dietary intake and percent meeting fat-related and food group dietary recommendations in Intensive Lifestyle Intervention and Diabetes Support and Education groups at 12 months.

DESIGN

A randomized controlled trial comparing Intensive Lifestyle Intervention with Diabetes Support and Education at 0 and 12 months.

PARTICIPANTS/SETTING

From 16 US sites, the first 50% of participants (aged 45 to 76 years, overweight or obese, with type 2 diabetes) were invited to complete dietary assessments. Complete 0- and 12-month dietary assessments (collected between 2001 and 2004) were available for 2,397 participants (46.6% of total participants), with 1,186 randomized to Diabetes Support and Education group and 1,211 randomized to Intensive Lifestyle Intervention group.

MAIN OUTCOME MEASURES

A food frequency questionnaire assessed intake: energy; percent energy from protein, fat, carbohydrate, polyunsaturated fatty acids, and saturated fats; trans-fatty acids; cholesterol; fiber; weekly meal replacements; and daily servings from food groups from the Food Guide Pyramid.

STATISTICAL ANALYSES PERFORMED

Mixed-factor analyses of covariance, using Proc MIXED with a repeated statement, with age, sex, race/ethnicity, education, and income controlled. Unadjusted χ² tests compared percent meeting fat-related and food group recommendations at 12 months.

RESULTS

At 12 months, Intensive Lifestyle Intervention participants had a significantly lower fat and cholesterol intake and greater fiber intake than Diabetes Support and Education participants. Intensive Lifestyle Intervention participants consumed more servings per day of fruits; vegetables; and milk, yogurt, and cheese; and fewer servings per day of fats, oils, and sweets than Diabetes Support and Education participants. A greater percentage of Intensive Lifestyle Intervention participants than Diabetes Support and Education participants met fat-related and most food group recommendations. Within Intensive Lifestyle Intervention, a greater percentage of participants consuming two or more meal replacements per day than participants consuming less than one meal replacement per day met most fat-related and food group recommendations.

CONCLUSIONS

The partial meal replacement plan consumed by Intensive Lifestyle Intervention participants was related to superior diet quality.

Predictors of sustained reduction in energy and fat intake in the Diabetes Prevention Program Outcomes Study intensive lifestyle intervention

BACKGROUND

Few lifestyle intervention studies examine long-term sustainability of dietary changes.

OBJECTIVE

To describe sustainability of dietary changes over 9 years in the Diabetes Prevention Program and its outcomes study, the Diabetes Prevention Program Outcomes Study, among participants receiving the intensive lifestyle intervention.

DESIGN

One thousand seventy-nine participants were enrolled in the intensive lifestyle intervention arm of the Diabetes Prevention Program; 910 continued participation in the Diabetes Prevention Program Outcomes Study. Fat and energy intake derived from food frequency questionnaires at baseline and post-randomization Years 1 and 9 were examined. Parsimonious models determined whether baseline characteristics and intensive lifestyle intervention session participation predicted sustainability.

RESULTS

Self-reported energy intake was reduced from a median of 1,876 kcal/day (interquartile range [IQR]=1,452 to 2,549 kcal/day) at baseline to 1,520 kcal/day (IQR=1,192 to 1,986 kcal/day) at Year 1, and 1,560 kcal/day (IQR=1,223 to 2,026 kcal/day) at Year 9. Dietary fat was reduced from a median of 70.4 g (IQR=49.3 to 102.5 g) to 45 g (IQR=32.2 to 63.8 g) at Year 1 and increased to 61.0 g (IQR=44.6 to 82.7 g) at Year 9. Percent energy from fat was reduced from a median of 34.4% (IQR=29.6% to 38.5%) to 27.1% (IQR=23.1% to 31.5%) at Year 1 but increased to 35.3% (IQR=29.7% to 40.2%) at Year 9. Lower baseline energy intake and Year 1 dietary reduction predicted lower energy and fat gram intake at Year 9. Higher leisure physical activity predicted lower fat gram intake but not energy intake.

CONCLUSIONS

Intensive lifestyle intervention can result in reductions in total energy intake for up to 9 years. Initial success in achieving reductions in fat and energy intake and success in attaining activity goals appear to predict long-term success at maintaining changes.

Prevalence, characteristics and clinical diagnosis of maturity onset diabetes of the young due to mutations in HNF1A, HNF4A, and glucokinase: results from the SEARCH for Diabetes in Youth

AIMS

Our study aims were to determine the frequency of MODY mutations (HNF1A, HNF4A, glucokinase) in a diverse population of youth with diabetes and to assess how well clinical features identify youth with maturity-onset diabetes of the young (MODY).

METHODS

The SEARCH for Diabetes in Youth study is a US multicenter, population-based study of youth with diabetes diagnosed at age younger than 20 years. We sequenced genomic DNA for mutations in the HNF1A, HNF4A, and glucokinase genes in 586 participants enrolled in SEARCH between 2001 and 2006. Selection criteria included diabetes autoantibody negativity and fasting C-peptide levels of 0.8 ng/mL or greater.

RESULTS

We identified a mutation in one of three MODY genes in 47 participants, or 8.0% of the tested sample, for a prevalence of at least 1.2% in the pediatric diabetes population. Of these, only 3 had a clinical diagnosis of MODY, and the majority was treated with insulin. Compared with the MODY-negative group, MODY-positive participants had lower FCP levels (2.2 ± 1.4 vs 3.2 ± 2.1 ng/mL, P < .01) and fewer type 2 diabetes-like metabolic features. Parental history of diabetes did not significantly differ between the 2 groups.

CONCLUSIONS/INTERPRETATION

In this systematic study of MODY in a large pediatric US diabetes cohort, unselected by referral pattern or family history, MODY was usually misdiagnosed and incorrectly treated with insulin. Although many type 2 diabetes-like metabolic features were less common in the mutation-positive group, no single characteristic identified all patients with mutations. Clinicians should be alert to the possibility of MODY diagnosis, particularly in antibody-negative youth with diabetes.

Sedentary behavior and physical activity in youth with recent onset of type 2 diabetes

OBJECTIVE

With the rise of type 2 diabetes in youth, it is critical to investigate factors such as physical activity (PA) and time spent sedentary that may be contributing to this public health problem. This article describes PA and sedentary time in a large cohort of youth with type 2 diabetes and compares these levels with other large-scale investigations.

METHODS

The Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) trial is a study in 699 youth, recruited from 15 US clinical centers, aged 10 to 17 years with <2 years of type 2 diabetes and a BMI ≥85th percentile.

RESULTS

In comparison with the subset of the NHANES cohort who were obese (BMI ≥95th percentile), TODAY youth spent significantly more time being sedentary (difference averaging 56 minutes per day; P < .001) as assessed by accelerometry. Although moderate to vigorous activity levels in both obese cohorts for all age groups were exceptionally low, younger TODAY boys were still significantly less active than similarly aged NHANES youth. Comparisons between the TODAY girls and other investigations suggest that the TODAY girls also had relatively lower PA and fitness levels.

CONCLUSIONS

Adolescents with type 2 diabetes from the large TODAY cohort appear to be less physically active and tend to spend more time being sedentary than similarly aged youth without diabetes identified from other large national investigations. Treatment efforts in adolescents with type 2 diabetes should include decreasing sitting along with efforts to increase PA levels.

Insulin regimens and clinical outcomes in a type 1 diabetes cohort: the SEARCH for Diabetes in Youth study

OBJECTIVE

To examine the patterns and associations of insulin regimens and change in regimens with clinical outcomes in a diverse population of children with recently diagnosed type 1 diabetes.

RESEARCH DESIGN AND METHODS

The study sample consisted of youth with type 1 diabetes who completed a baseline SEARCH for Diabetes in Youth study visit after being newly diagnosed and at least one follow-up visit. Demographic, diabetes self-management, physical, and laboratory measures were collected at study visits. Insulin regimens and change in regimen compared with the initial visit were categorized as more intensive (MI), no change (NC), or less intensive (LI). We examined relationships between insulin regimens, change in regimen, and outcomes including A1C and fasting C-peptide.

RESULTS

Of the 1,606 participants with a mean follow-up of 36 months, 51.7% changed to an MI regimen, 44.7% had NC, and 3.6% changed to an LI regimen. Participants who were younger, non-Hispanic white, and from families of higher income and parental education and who had private health insurance were more likely to be in MI or NC groups. Those in MI and NC groups had lower baseline A1C (P = 0.028) and smaller increase in A1C over time than LI (P < 0.01). Younger age, continuous subcutaneous insulin pump therapy, and change to MI were associated with higher probability of achieving target A1C levels.

CONCLUSIONS

Insulin regimens were intensified over time in over half of participants but varied by sociodemographic domains. As more intensive regimens were associated with better outcomes, early intensification of management may improve outcomes in all children with diabetes. Although intensification of insulin regimen is preferred, choice of insulin regimen must be individualized based on the child and family's ability to comply with the prescribed plan.

Discordant risk: overweight and cardiometabolic risk in Chinese adults

OBJECTIVE

Recent US work identified "metabolically healthy overweight" and "metabolically at risk normal weight" individuals. Less is known for modernizing countries with recent increased obesity.

DESIGN AND METHODS

Fasting blood samples, anthropometry and blood pressure from 8,233 adults aged 18-98 in the 2009 nationwide China Health and Nutrition Survey, were used to determine prevalence of overweight (Asian cut point, BMI ≥ 23 kg/m(2) ) and five risk factors (prediabetes/diabetes (hemoglobin A1c ≥ 5.7%) inflammation (high-sensitivity C-reactive protein (hsCRP) ≥ 3 mg/l), prehypertension/hypertension (Systolic blood pressure/diastolic blood pressure ≥ 130/85 mm Hg), high triglycerides (≥ 150 mg/dl), low high-density lipoprotein cholesterol (<40 (men)/ <50 mg/dl (women)). Sex-stratified, logistic, and multinomial logistic regression models estimated concurrent obesity and cardiometabolic risk, with and without abdominal obesity, adjusting for age, smoking, alcohol consumption, physical activity, urbanicity, and income.

RESULTS

Irrespective of urbanicity, 78.3% of the sample had ≥ 1 elevated cardiometabolic risk factor (normal weight: 33.2% had ≥ 1 elevated risk factor; overweight: 5.7% had none). At the age of 18-30 years, 47.4% had no elevated risk factors, which dropped to 6% by the age 70, largely due to age-related increase in hypertension risk (18-30 years: 11%; >70 years: 73%). Abdominal obesity was highly predictive of metabolic risk, irrespective of overweight (e.g., "metabolically at risk overweight" relative to "metabolically healthy normal weight" (men: relative risk ratio (RRR) = 39.06; 95% confidence interval (CI): 23.47, 65.00; women: RRR = 22.26; 95% CI: 17.49, 28.33)).

CONCLUSION

A large proportion of Chinese adults have metabolic abnormalities. High hypertension risk with age, underlies the low prevalence of metabolically healthy overweight. Screening for cardiometabolic-related outcomes dependent upon overweight will likely miss a large portion of the Chinese at risk population.

Outpatient assessment of determinants of glucose excursions in adolescents with type 1 diabetes: proof of concept

Abstract Objective: Controlled inpatient studies on the effects of food, physical activity (PA), and insulin dosing on glucose excursions exist, but such outpatient data are limited. We report here outpatient data on glucose excursions and its key determinants over 5 days in 30 adolescents with type 1 diabetes (T1D) as a proof-of-principle pilot study.

SUBJECTS AND METHODS

Subjects (20 on insulin pumps, 10 receiving multiple daily injections; 15±2 years old; diabetes duration, 8±4 years; hemoglobin A1c, 8.1±1.0%) wore a continuous glucose monitor (CGM) and an accelerometer for 5 days. Subjects continued their existing insulin regimens, and time-stamped insulin dosing data were obtained from insulin pump downloads or insulin pen digital logs. Time-stamped cell phone photographs of food pre- and post-consumption and food logs were used to augment 24-h dietary recalls for Days 1 and 3. These variables were incorporated into regression models to predict glucose excursions at 1-4 h post-breakfast.

RESULTS

CGM data on both Days 1 and 3 were obtained in 57 of the possible 60 subject-days with an average of 125 daily CGM readings (out of a possible 144). PA and dietary recall data were obtained in 100% and 93% of subjects on Day 1 and 90% and 100% of subjects on Day 3, respectively. All of these variables influenced glucose excursions at 1-4 h after waking, and 56 of the 60 subject-days contributed to the modeling analysis.

CONCLUSIONS

Outpatient high-resolution time-stamped data on the main inputs of glucose variability in adolescents with T1D are feasible and can be modeled. Future applications include using these data for in silico modeling and for monitoring outpatient iterations of closed-loop studies, as well as to improve clinical advice regarding insulin dosing to match diet and PA behaviors.

Associations between periodontal disease and selected risk factors of early complications among youth with type 1 and type 2 diabetes: a pilot study

BACKGROUND

Most studies evaluating the relation between periodontal disease and diabetes in children have not considered diabetes type.

OBJECTIVE

To evaluate the relationship between periodontal damage and risk factors of diabetes complications among youth by diabetes type in a pilot study.

SUBJECTS

155 participants (126 with type 1 diabetes; 29 with type 2 diabetes) from the SEARCH for Diabetes in Youth study in South Carolina who were <20 yr of age at diagnosis.

METHODS

Cross-sectional analysis of periodontal damage (bone loss ≥3 mm on ≥1 permanent tooth site on pre-existing bitewing radiographs) and diabetes type assigned by the provider at diagnosis.

RESULTS

Periodontal damage was observed in 52 individuals (34%) overall, but was more common in type 2 (16/29, 55%) vs. type 1 diabetes (37/126, 29%). Among youth with type 2 diabetes, those with periodontal damage had lower fasting c-peptide (2.3 vs. 3.4 ng/mL, p-value=0.01), and higher triglyceride levels (171.8 vs. 87.2, p-value=0.01) than those without periodontal damage after adjustment for age, sex, race, education level, family income, duration of diabetes, diabetes control, time between study visit and date of radiograph, tooth brushing, and visits to the dentist. Blood pressure, waist circumference, LDL cholesterol and A1c were not associated with periodontal damage.

CONCLUSIONS

The associations between periodontal disease and risk factors for diabetes complications differ by diabetes type. Periodontal damage is associated with impaired beta cell function and metabolic syndrome components in type 2 but not type 1 diabetes. These findings need to be confirmed in larger, prospective studies.

Adiponectin lowers glucose production by increasing SOGA

Adiponectin is a hormone that lowers glucose production by increasing liver insulin sensitivity. Insulin blocks the generation of biochemical intermediates for glucose production by inhibiting autophagy. However, autophagy is stimulated by an essential mediator of adiponectin action, AMPK. This deadlock led to our hypothesis that adiponectin inhibits autophagy through a novel mediator. Mass spectrometry revealed a novel protein that we call suppressor of glucose by autophagy (SOGA) in adiponectin-treated hepatoma cells. Adiponectin increased SOGA in hepatocytes, and siRNA knockdown of SOGA blocked adiponectin inhibition of glucose production. Furthermore, knockdown of SOGA increased late autophagosome and lysosome staining and the secretion of valine, an amino acid that cannot be synthesized or metabolized by liver cells, suggesting that SOGA inhibits autophagy. SOGA decreased in response to AICAR, an activator of AMPK, and LY294002, an inhibitor of the insulin signaling intermediate, PI3K. AICAR reduction of SOGA was blocked by adiponectin; however, adiponectin did not increase SOGA during PI3K inhibition, suggesting that adiponectin increases SOGA through the insulin signaling pathway. SOGA contains an internal signal peptide that enables the secretion of a circulating fragment of SOGA, providing a surrogate marker for intracellular SOGA levels. Circulating SOGA increased in parallel with adiponectin and insulin activity in both humans and mice. These results suggest that adiponectin-mediated increases in SOGA contribute to the inhibition of glucose production.

Glycemic control in youth with diabetes: the SEARCH for diabetes in Youth Study

OBJECTIVE

To assess correlates of glycemic control in a diverse population of children and youth with diabetes.

STUDY DESIGN

This was a cross-sectional analysis of data from a 6-center US study of diabetes in youth, including 3947 individuals with type 1 diabetes (T1D) and 552 with type 2 diabetes (T2D), using hemoglobin A(1c) (HbA(1c)) levels to assess glycemic control.

RESULTS

HbA(1c) levels reflecting poor glycemic control (HbA(1c) >or= 9.5%) were found in 17% of youth with T1D and in 27% of those with T2D. African-American, American Indian, Hispanic, and Asian/Pacific Islander youth with T1D were significantly more likely to have higher HbA(1c) levels compared with non-Hispanic white youth (with respective rates for poor glycemic control of 36%, 52%, 27%, and 26% vs 12%). Similarly poor control in these 4 racial/ethnic groups was found in youth with T2D. Longer duration of diabetes was significantly associated with poorer glycemic control in youth with T1D and T2D.

CONCLUSIONS

The high percentage of US youth with HbA(1c) levels above the target value and with poor glycemic control indicates an urgent need for effective treatment strategies to improve metabolic status in youth with diabetes.

Action for Health in Diabetes (Look AHEAD) trial: baseline evaluation of selected nutrients and food group intake

BACKGROUND

Little has been reported regarding food and nutrient intake in individuals diagnosed with type 2 diabetes, and most reports have been based on findings in select groups or individuals who self-reported having diabetes.

OBJECTIVE

To describe the baseline food and nutrient intake of the Look AHEAD (Action for Health in Diabetes) trial participants, compare participant intake to national guidelines, and describe demographic and health characteristics associated with food group consumption.

METHODS

The Look AHEAD trial is evaluating the effects of a lifestyle intervention (calorie control and increased physical activity for weight loss) compared with diabetes support and education on long-term cardiovascular and other health outcomes. Participants are 45 to 75 years old, overweight or obese (body mass index [BMI] > or = 25), and have type 2 diabetes. In this cross-sectional analysis, baseline food consumption was assessed by food frequency questionnaire from 2,757 participants between September 2000 and December 2003.

STATISTICAL ANALYSIS

Descriptive statistics were used to summarize intake by demographic characteristics. Kruskal-Wallis tests assessed univariate effects of characteristics on consumption. Multiple linear regression models assessed factors predictive of intake. Least square estimates were based on final models, and logistic regression determined factors predictive of recommended intake.

RESULTS

Ninety-three percent of the participants exceeded the recommended percentage of calories from fat, 85% exceeded the saturated fat recommendation, and 92% consumed too much sodium. Also, fewer than half met the minimum recommended servings of fruit, vegetables, dairy, and grains.

CONCLUSIONS

These participants with pre-existing diabetes did not meet recommended food and nutrition guidelines. These overweight adults diagnosed with diabetes are exceeding recommended intake of fat, saturated fats, and sodium, which may contribute to increasing their risk of cardiovascular disease and other chronic diseases.

Whole grain intake and its cross-sectional association with obesity, insulin resistance, inflammation, diabetes and subclinical CVD: The MESA Study

We examined the relationship between whole grain intake and obesity, insulin resistance, inflammation, diabetes and subclinical CVD using baseline data from the Multi-Ethnic Study of Atherosclerosis. Whole grain intake was measured by a 127-item FFQ in 5496 men and women free of CHD and previously known diabetes. Mean whole grain intake was 0·5 (sd0·5) servings per d; biochemical measures reflect fasting levels. After adjustment for demographic and health behaviour variables, mean differences for the highest quintile of whole grain intake minus the lowest quintile of intake were 0·6 kg/m2for BMI, 0·36 mg/l for C-reactive protein, 0·82 μmol/l for homocysteine, 0·15 mU/l*mmol/l for homeostasis model assessment (HOMA), 0·48 mU/l for serum insulin, 2·0 mg/dl for glucose and 5·7 % for prevalence of newly diagnosed impaired fasting glucose (glucose ≥ 100 mg/dl or diabetes medication). These differences represent 11–13 % of a standard deviation of BMI, HOMA, glucose and impaired fasting glucose, but 23 %, 52 % and 80 % of a standard deviation of homocysteine, C-reactive protein and insulin, respectively. An inverse association between whole grains and urine albumin excretion was suggested but retained statistical significance after adjustment only in Chinese and Hispanic participants. No associations were observed between whole grain intake and two subclinical disease measures: carotid intima-media thickness and coronary artery calcification. Concordant with previous research, whole grain intake was inversely associated with obesity, insulin resistance, inflammation and elevated fasting glucose or newly diagnosed diabetes. Counter to hypothesis, however, whole grain intake was unrelated to subclinical CVD.

Physical activity, insulin sensitivity, and hypertension among US adults: findings from the Insulin Resistance Atherosclerosis Study

Although regular physical activity is associated with less hypertension and improved insulin sensitivity, there is debate regarding the role of insulin sensitivity in hypertension. Thus, in this cross-sectional study, the authors investigated whether physical activity and insulin sensitivity were associated with hypertension. The sample consisted of 1,599 persons aged 40-69 years who participated in the Insulin Resistance Atherosclerosis Study. The outcome measure was hypertension as measured by a standard protocol. Energy expended in vigorous physical activity was calculated from a recall interview on past-year physical activity. Descriptive statistics revealed that 590 (37%) participants had prevalent hypertension. In adjusted logistic regression analysis, participants expending >or=150 kcal/day in vigorous physical activity had an odds ratio for hypertension of 0.73 (95% confidence interval (CI): 0.55, 0.98) in comparison with participants who were sedentary. Further adjustment for insulin sensitivity resulted in attenuation of the effect of vigorous physical activity on hypertension (odds ratio = 0.97, 95% CI: 0.71, 1.33), while the effect of insulin sensitivity was significant (odds ratio = 0.33, 95% CI: 0.26, 0.41). These results suggest that longitudinal studies are warranted to determine whether insulin sensitivity is a mediator of the relation between physical activity and hypertension.

Nut and seed consumption and inflammatory markers in the multi-ethnic study of atherosclerosis

Nuts and seeds are rich in unsaturated fat and other nutrients that may reduce inflammation. Frequent nut consumption is associated with lower risk of cardiovascular disease and type 2 diabetes. The authors examined associations between nut and seed consumption and C-reactive protein, interleukin-6, and fibrinogen in the Multi-Ethnic Study of Atherosclerosis. This 2000 cross-sectional analysis included 6,080 US participants aged 45-84 years with adequate information on diet and biomarkers. Nut and seed consumption was categorized as never/rare, less than once/week, 1-4 times/week, and five or more times/week. After adjustment for age, gender, race/ethnicity, site, education, income, smoking, physical activity, use of fish oil supplements, and other dietary factors, mean biomarker levels in categories of increasing consumption were as follows: C-reactive protein-1.98, 1.97, 1.80, and 1.72 mg/liter; interleukin-6-1.25, 1.24, 1.21, and 1.15 pg/ml; and fibrinogen-343, 338, 338, and 331 mg/dl (all p's for trend < 0.01). Further adjustment for hypertension, diabetes, medication use, and lipid levels yielded similar results. Additional adjustment for body mass index moderately attenuated the magnitude of the associations, yielding borderline statistical significance. Associations of nut and seed consumption with these biomarkers were not modified by body mass index, waist:hip ratio, or race/ethnicity. Frequent nut and seed consumption was associated with lower levels of inflammatory markers, which may partially explain the inverse association of nut consumption with cardiovascular disease and diabetes risk.

Successful recruitment and retention strategies for a randomized weight management trial for people with diabetes living in rural, medically underserved counties of South Carolina: the POWER study

We evaluated the feasibility of recruiting overweight adults with diabetes, living in rural, medically underserved communities, to a weight management intervention consisting of a 12-month clinical trial of two weight management programs and usual care. The sampling frame consisted of adults ages 45 years and older with clinically diagnosed diabetes from two community health centers. The recruitment process included medical record review, prescreening telephone call, two screening visits, and a randomization visit. Over 1,400 medical records were reviewed; 78.6% met eligibility criteria; 60.1% were contacted for telephone prescreening, and 35.5% remained eligible and were interested in participating. Of these, 187 completed visit 1, 164 completed visit 2, and 143 were randomized. Forty-six people were randomized who entered the study as walk-ins at screening visit 1, resulting in 189 subjects. The final yield was 21.5%. Subject mean age was 60.4 years, mean body mass index was 36.4 kg/m(2), 80% were African-American, and 46.6% had less than a high school education. Retention at 12 months was 81.5%. Successful strategies included partnering with community health centers, positive reinforcement and social supportiveness, monitoring progress, and free transportation. This work provides a useful example of an academic-community partnership designed to reach groups previously considered hard to reach.