Impact of lifestyle behavior change on glycemic control in youth with type 2 diabetes

Diabetes is associated with increased liver cancer incidence and mortality in adults: A report from Asia Cohort Consortium

There has been growing evidence suggesting that diabetes may be associated with increased liver cancer risk. However, studies conducted in Asian countries are limited. This project considered data of 968,738 adults pooled from 20 cohort studies of Asia Cohort Consortium to examine the association between baseline diabetes and liver cancer incidence and mortality. Cox proportional hazard model and competing risk approach was used for pooled data. Two-stage meta-analysis across studies was also done. There were 839,194 subjects with valid data regarding liver cancer incidence (5654 liver cancer cases [48.29/100,000 person-years]), follow-up time and baseline diabetes (44,781 with diabetes [5.3%]). There were 747,198 subjects with valid data regarding liver cancer mortality (5020 liver cancer deaths [44.03/100,000 person-years]), follow-up time and baseline diabetes (43,243 with diabetes [5.8%]). Hazard ratio (HR) (95% confidence interval [95%CI]) of liver cancer diagnosis in those with vs. without baseline diabetes was 1.97 (1.79, 2.16) (p < .0001) after adjusting for baseline age, gender, body mass index, tobacco smoking, alcohol use, and heterogeneity across studies (n = 586,072; events = 4620). Baseline diabetes was associated with increased cumulative incidence of death due to liver cancer (adjusted HR (95%CI) = 1.97 (1.79, 2.18); p < .0001) (n = 595,193; events = 4110). A two-stage meta-analytic approach showed similar results. This paper adds important population-based evidence to current literature regarding the increased incidence and mortality of liver cancer in adults with diabetes. The analysis of data pooled from 20 studies of different Asian countries and the meta-analysis across studies with large number of subjects makes the results robust.

Higher incidence of cardiovascular-kidney complications in Chinese with youth-onset type 2 diabetes versus youth-onset type 1 diabetes attenuated by control of cardio-metabolic risk factors: a population-based prospective cohort study in Hong Kong

AIMS

To determine and compare the incidence of diabetes complications in Chinese with youth-onset type 2 and type 1 diabetes.

METHODS

We conducted a population-based prospective cohort study, including 1,260 people with type 2 diabetes and 1,227 with type 1 diabetes diagnosed at age <20 years who underwent metabolic and complication assessment in Hong Kong Hospital Authority between 2000 and 2018. They were followed for incident cardiovascular disease (CVD), end-stage kidney disease (ESKD) and all-cause death until 2019. Multivariable Cox regression analysis was applied to compare the risks of these complications in type 2 versus type 1 diabetes.

RESULTS

People with type 1 diabetes (median age: 20 years, median diabetes duration: 9 years) and type 2 diabetes (median age: 21 years, median diabetes duration: 6 years) were followed for a mean period of 9.2 and 8.8 years respectively. The risks of CVD (HR [95% CI] 1.66 [1.01-2.72]) and ESKD (HR 1.96 [1.27-3.04]) but not death (HR 1.10 [0.72-1.67]) were higher in type 2 versus type 1 diabetes, adjusted for age at diagnosis, diabetes duration and sex. The association became nonsignificant with further adjustment for glycaemic and metabolic control. Youth-onset type 2 diabetes conferred mortality excess (standardized mortality ratio 4.15 [3.28-5.17]) to age- and sex-matched general population.

CONCLUSIONS

People with youth-onset type 2 diabetes had higher incidence rates of CVD and ESKD than type 1 diabetes. The excess risks in type 2 diabetes were removed after adjusted for cardio-metabolic risk factors.

Youth-onset type 2 diabetes mellitus: an urgent challenge

The incidence and prevalence of youth-onset type 2 diabetes mellitus (T2DM) and its complications are increasing worldwide. Youth-onset T2DM has been reported in all racial and ethnic groups, but Indigenous peoples and people of colour are disproportionately affected. People with youth-onset T2DM often have a more aggressive clinical course than those with adult-onset T2DM or those with type 1 diabetes mellitus. Moreover, the available treatment options for children and adolescents with T2DM are more limited than for adult patients. Intermediate complications of youth-onset T2DM, such as increased albuminuria, often develop in late childhood or early adulthood, and end-stage complications, including kidney failure, develop in mid-life. The increasing frequency, earlier onset and greater severity of childhood obesity in the past 50 years together with increasingly sedentary lifestyles and an increasing frequency of intrauterine exposure to diabetes are important drivers of the epidemic of youth-onset T2DM. The particularly high risk of the disease in historically disadvantaged populations suggests an important contribution of social and environmental factors, including limited access to high-quality health care, healthy food choices and opportunities for physical activity as well as exposure to stressors including systemic racism and environmental pollutants. Understanding the mechanisms that underlie the development and aggressive clinical course of youth-onset T2DM is key to identifying successful prevention and management strategies.

American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update

OBJECTIVE

The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers.

METHODS

The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development.

RESULTS

This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes.

CONCLUSIONS

This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.

Systematic review: Perceptions of type 2 diabetes of people of African descent living in high-income countries

AIMS

To describe how people of African descent perceive and understand type 2 diabetes, and to examine the impact of their perceptions and beliefs on the uptake of diet, exercise, weight control and adherence to medication recommendations.

DESIGN

Systematic literature review of quantitative and qualitative studies.

DATA SOURCES

We searched MEDLINE, CINAHL Complete, Psych INFO, Academic Search Premier, Education Research Complete, Web of Science and Scopus, World Health Organization (WHO), Diabetes UK and American Diabetes Association for articles published from January 1999 to December 2019.

REVIEW METHODS

Informed by the PRISMA guidelines, we independently reviewed titles and abstracts, identified articles for full-text review that met inclusion criteria, conducted a quality assessment and extracted data. Findings were synthesized using a thematic approach.

RESULTS

Twenty-six studies met the inclusion criteria. Knowledge and understanding of diabetes were poor. Beliefs and behaviours about diet, exercise, weight and health care were erroneous. Most diabetic participants could not recognize diabetes symptoms, failed to take their diagnosis seriously and did not adhere to medication recommendations. The resultant effect was an increased risk of complications with undesirable outcomes.

CONCLUSION

Poor diabetes perceptions are linked to negative consequences and may be responsible for poorer outcomes among people of African descent. This review highlights the need to consider this population's beliefs and practices in structuring culturally sensitive programmes for diabetes management.

IMPACT

This systematic literature review is the first to exclusively explore perceptions of people of African descent in relation to diabetes. It is important to consider people of African descents' diabetes perceptions and practices before formulating interventions for their diabetes management.

Developing and Evaluating Behaviour Change Interventions for People with Younger-Onset Type 2 Diabetes: Lessons and Recommendations from Existing Programmes

People with younger-onset type 2 diabetes (YOT2D, diagnosis before 40 years of age) are at higher risk of morbidity and premature mortality compared with their similar-age type 1 diabetes and later-onset type 2 diabetes peers. Despite recommendations for targeted, behavioural, and psychosocial approaches to optimising health outcomes, there are few such interventions for this group. Furthermore, evaluations of health behaviour change interventions targeting this priority population have proven challenging to complete. Despite this, there is little guidance for future behavioural programme developers. The aims of this paper are to synthesise lessons learned and recommendations from published evaluations of YOT2D-focused health behaviour change interventions, and illustrate challenges and solutions using case studies from our own experience. A rapid review of the literature identified 11 trials of behavioural interventions for YOT2D (5 randomised controlled trials, 6 pre/post studies). We sourced related needs assessment and development papers to describe the life course of each programme. We identified two development and two evaluation-related themes impacting successful trial execution. Development recommendations include ensuring appropriate adaptation of existing interventions to the unique challenges and characteristics of the target group, use of theory or theoretical frameworks throughout, and involvement of the priority population and key stakeholders from inception. Evaluation recommendations include planning for meaningful evaluation and development of age-appropriate Core Outcomes Sets. Future programme developers would benefit from closer attention to intervention development guidelines and a focus on supporting those with YOT2D to achieve behaviour change and diabetes self-management goals, ahead of change to biomedical outcomes.

Associations between regular GP contact, diabetes monitoring and glucose control: an observational study using general practice data

OBJECTIVE

Continuity and regularity of general practitioner (GP) contacts are associated with reduced hospitalisation in type 2 diabetes (T2DM). We assessed associations of these GP contact patterns with intermediate outcomes reflecting patient monitoring and health.

DESIGN

Observational longitudinal cohort study using general practice data 2011-2017.

SETTING

193 Australian general practices in Western Australia and New South Wales participating in the MedicineInsight programme run by NPS MedicineWise.

PARTICIPANTS

22 791 patients aged 18 and above with T2DM.

INTERVENTIONS

Regularity was assessed based on variation in the number of days between GP visits, with more regular contacts assumed to indicate planned, proactive care. Informational continuity (claims for care planning incentives) and relational continuity (usual provider of care index) were assessed separately.

OUTCOME MEASURES

Process of care indicators were glycosylated haemoglobin (HbA1c) test underuse (8 months without test), estimated glomerular filtration rate (eGFR) underuse (14 months) and HbA1c overuse (two tests within 80 days). The clinical indicator was T2DM control (HbA1c 6.5% (47.5 mmol/mol)-7.5% (58.5 mmol/mol)).

RESULTS

The quintile with most regular contact had reduced odds of HbA1c and eGFR underuse (OR 0.74, 95% CI 0.67 to 0.81 and OR 0.78, 95% CI 0.70 to 0.86, respectively), but increased odds of HbA1c overuse (OR 1.20, 95% CI 1.05 to 1.38). Informational continuity was associated with reduced odds of HbA1c underuse (OR 0.53, 95% CI 0.49 to 0.56), reduced eGFR underuse (OR 0.62, 95% CI 0.58 to 0.67) and higher odds of HbA1c overuse (OR 1.48, 95% CI 1.34 to 1.64). Neither had significant associations with HbA1c level. Results for relational continuity differed.

CONCLUSIONS

This study provides evidence that regularity and continuity influence processes of care in the management of patients with diabetes, though this did not result in the recording of HbA1c within target range. Research should capture these intermediate outcomes to better understand how GP contact patterns may influence health rather than solely assessing associations with hospitalisation outcomes.

Consumption of Beverages Containing Low-Calorie Sweeteners, Diet, and Cardiometabolic Health in Youth With Type 2 Diabetes

BACKGROUND

Low-calorie sweetened beverages (LCSBs) are commonly used as a lower-calorie alternative to sugar-sweetened beverages (SSBs) by individuals with type 2 diabetes. However, little is known about how intake of LCSBs is related to dietary intake and cardiometabolic health, particularly among youth.

OBJECTIVE

To test the hypothesis that having higher baseline LCSB intake and increasing LCSB intake over 2 years of follow-up are associated with poorer dietary intake and higher cardiometabolic risk factors among youth enrolled in the Treatment Option for Type 2 Diabetes in Adolescents and Youth (TODAY) study.

DESIGN

Secondary, exploratory, analysis of baseline and longitudinal data from the TODAY study, which was a randomized, multisite trial conducted from 2004 to 2012, to compare effects of 3 interventions (metformin alone, metformin + rosiglitazone, and metformin + intensive lifestyle intervention) on glycemic control in youth with type 2 diabetes.

PARTICIPANTS/SETTING

The study included 476 children and adolescents (10-17 years, mean body mass index 34.9 ± 7.8 kg/m²), who were participants in the multicenter (n = 15) TODAY study.

MAIN OUTCOME MEASURES

Diet was assessed using a food frequency questionnaire. Differences in energy intake, macronutrients, food group intakes, and cardiometabolic biomarkers were evaluated in 3 groups of LCSB consumers at baseline (low [1-4 servings/wk], medium [5-11 servings/wk], and high [≥12 servings/wk]), each compared with nonconsumers, and between 4 groups of change in LCSB intake (nonconsumption at start of study and nonconsumption after 2 years, increase in consumption after 2 years, decrease in consumption after 2 years, and high consumption at start of study and high consumption after 2 years).

STATISTICAL ANALYSES PERFORMED

Multivariable linear regression was performed at baseline and longitudinally over 2 years of follow-up.

RESULTS

Energy (kilocalories), fiber, carbohydrate, total fat, saturated fat, and protein intake (grams) were higher among high LCSB consumers compared with nonconsumers at baseline. No associations were observed between LCSB consumption and cardiometabolic risk factors at baseline. Change in LCSB intake between baseline and follow-up was not associated with change in energy intake or cardiometabolic risk factors. Participants who decreased LCSB consumption reported greater increases in sugar intake (18.4 ± 4.8 g) compared with those who increased LCSB consumption (5.7 ± 4.9 g) or remained high LCSB consumers (5.9 ± 7.4 g), but this trend was not statistically significant after a correction for multiple testing.

CONCLUSIONS

LCSB consumption was associated with higher energy intake in youth with type 2 diabetes, with the highest energy intakes reported in high LCSB consumers. Those who reduced LCSB consumption tended to report greater increases in sugar intake during follow-up, but further studies are needed to better understand this trend.

Dietary strategies to manage diabetes and glycemic control in youth and young adults with youth-onset type 1 and type 2 diabetes: The SEARCH for diabetes in youth study

AIMS

Examine associations of dietary strategies used to manage diabetes over time with hemoglobin A1c in youth-onset type 1 or type 2 diabetes.

METHODS

The SEARCH for Diabetes in Youth observational study assessed dietary strategies used by 1814 participants with diabetes (n = 1558 type 1, n = 256 type 2) at two to three research visits over 5.5 years (range 1.7-12.2). Participants reported often, sometimes, or never using 10 different dietary strategies, and use over time was categorized into five mutually exclusive groups: often using across visits; started using at later visits; sometimes using across visits; stopped using at later visits; or never using across visits. General multivariable linear models evaluated most recent A1c by use category for each strategy.

RESULTS

In type 1 diabetes, A1c was lower among those who starting tracking calories (-0.4%, Tukey P < .05), often counted carbs (-0.8%, Tukey P < .001), or sometimes chose low glycemic index foods (-0.5%, Tukey P = .02) vs those with less use, while participants who never drank more milk had the lowest A1c (-0.5%, Tukey P = .04). In type 2 diabetes, A1c was lower among those who often limited high fat foods (-2.0%, Tukey P = .02) or started counting carbohydrates (-1.7%, Tukey P = .07) than those who did so less.

CONCLUSIONS

For several dietary strategies, more frequent use over time was related to lower A1c in youth-onset type 1 and type 2 diabetes, suggesting these strategies can likely support diabetes management for this population. Investigation into factors predicting receipt of advice for specific strategies and corresponding impact on intake might be considered.

Commentary: An emerging role for household-based diabetes education

The work of Aasbjerg et al. raises provocative questions about risks of diabetes among unrelated family members and the impact of social determinants on metabolic health. In this brief commentary, we will identify commonly reported household factors and how they predict metabolic health. We will also suggest a different approach to explore risks of diabetes among unrelated family members across generations and recommend what implications these findings have for clinical diabetes care and population health at large.

Evaluation of the longitudinal change in health behavior profiles across treatment groups in the TODAY clinical trial

BACKGROUND

Individual health behaviors (ie, eating habits and sedentary lifestyle) are associated with type 2 diabetes (T2D). Health behavior profiles specific to adolescents with T2D have not been described.

OBJECTIVE

To identify health behavior profiles in adolescents with T2D and examine how these profiles change over time.

METHODS

Diet (via food frequency questionnaire) and activity behaviors (via 3-day physical activity recall) examined at baseline, 6 months, and 24 months from participants in the the Treatment Options for T2D in Adolescents and Youth (TODAY) study were used for this analysis. Latent profile analysis identified profiles of health behaviors within three time points, and latent transition probabilities were estimated to examine the change from baseline to 6 months (n = 450) and baseline to 24 months (n = 415). Multinomial logistic regressions were used to examine if the assigned TODAY treatment group (Metformin [Met], Met + Rosiglitazone [Rosi], or Met + Lifestyle) predicted change in health behavior profiles.

RESULTS

Three profiles emerged: "most sedentary," "healthy eaters," and "active and eat most." At 6 months, 50% of males and 29% of females in the Met + Lifestyle treatment group improved in their health behavior profile. Among males only, the Met + Lifestyle treatment group were more likely to improve their profiles from baseline to 6 months (P = .01).

CONCLUSIONS

Three health behavior profiles emerged and shifted over time. A high quality, lifestyle intervention had little effect on improving health behavior profiles. Optimizing outcomes in youth with T2D might require more robust and multifaceted interventions beyond family-level lifestyle, including more extensive psychosocial intervention, novel medication regimen, or bariatric surgery.

Using intervention mapping approach to finding socio-cognitive determinants of diabetes preventive behaviors

INTRODUCTION

Diabetes is one of the most common chronic illnesses with complications. The objective of this study was to determine socio-cognitive determinants of diabetes preventive behaviors among sample of at risk group based on intervention mapping approach (IM) in Kermanshah, the west of Iran.

METHODS

This cross-sectional study conducted among a total of 200 male and female aged more than 30 years old referred to health centers that randomly selected to participate voluntarily, during 2018. Participants filled out a self-report questionnaire. Data were analyzed by SPSS version 16 using bivariate correlations and linear regression at 95% significant level.

RESULTS

The mean age of respondents was 38.4 years [95% CI: 37.3, 39.4], ranged from 30 to 56 years. Socio-cognitive determinants were accounted for 40% of the variation in diabetes prevention behaviors F = 35.559, P < 0.001. As well as, perceived self-efficacy, perceived severity, and perceived barrier were the most influential predictors on diabetes preventive behaviors.

CONCLUSIONS

It seems that planning health promotion programs to reduce barrier to perform diabetes preventive behaviors and increase confidence towards ability to perform preventive behaviors, and seriousness about sides effect of diabetes may be usefulness of the results in order to promotion of diabetes preventive behaviors among at risk group.

Among older adults, age-related changes in the stool microbiome differ by HIV-1 serostatus

Background

HIV-1 infection and physiological aging are independently linked to elevated systemic inflammation and changes in enteric microbial communities (dysbiosis). However, knowledge of the direct effect of HIV infection on the aging microbiome and potential links to systemic inflammation is lacking.

Methods

In a cross-sectional study of older people living with HIV (PLWH) (median age 61.5 years, N = 14) and uninfected controls (median 58 years, n = 22) we compared stool microbiota, levels of microbial metabolites (short-chain fatty acid levels, SCFA) and systemic inflammatory biomarkers by HIV serostatus and age.

Findings

HIV and age were independently associated with distinct changes in the stool microbiome. For example, abundances of Enterobacter and Paraprevotella were higher and Eggerthella and Roseburia lower among PLWH compared to uninfected controls. Age-related microbiome changes also differed by HIV serostatus. Some bacteria with inflammatory potential (e.g. Escherichia) increased with age among PLWH, but not controls. Stool SCFA levels were similar between the two groups yet patterns of associations between individual microbial taxa and SCFA levels differed. Abundance of various genera including Escherichia and Bifidobacterium positively associated with inflammatory biomarkers (e.g. soluble Tumor Necrosis Factor Receptors) among PLWH, but not among controls.

Interpretation

The age effect on the gut microbiome and associations between microbiota and microbial metabolites or systemic inflammation differed based on HIV serostatus, raising important implications for the impact of therapeutic interventions, dependent on HIV serostatus or age.

Effect of a pilot multi-component intervention on motor performance and metabolic risks in overweight/obese youth

This study evaluated the effect of a multi-component intervention on motor performance (MP) and metabolic risk markers (MRM) in overweight/obese youth. A secondary aim was to examine whether changes in MP are associated to changes in MRM. A 3-month multi-component intervention was performed, consisting of physical exercise sessions (twice/week;1h), nutritional education sessions (once/month), and parental support (twice/week). The sample included 35 volunteers (7-13 y.o), allocated to intervention (INT, n = 17) and control (CONT, n = 18) group. Variables were measured pre (T0) and post intervention (T1). Fasting blood samples were analyzed for MRM. MP tests included the measurement of health related physical fitness components and motor coordination performance (KTK battery). To assess food intake, a 24-hour recall diary was used. GLM-ANCOVA was performed. Standardized scores were calculated for the outcome variables, and multilinear regressions were applied to analyze associations between the key variables. INT group showed improvements in MP, glycolytic and hepatic profiles. After adjustments for MVPA, SB, total intake and maturational stage, negative associations between %ΔMP and %Δglycolytic (β = -.424; 95%CI:-0.343:-0.022), and %Δhepatic scores (β = -.382 95%CI:-0.001:-0.009) were observed. The intervention produced a moderate-to-high effect on the MP and some MRM. Changes in MP were inversely associated with changes in glycolytic and hepatic markers.