Early-onset type 2 diabetes: Age gradient in clinical and behavioural risk factors in 5115 persons with newly diagnosed type 2 diabetes-Results from the DD2 study

Differences in patient-reported and clinical characteristics by age group in adults with type 2 diabetes

BACKGROUND

The global burden of type 2 diabetes (T2D) is growing, and the age of onset is widening, resulting in increasing numbers of young adults and elderly patients with T2D. Age-specific diabetes care needs have yet to be fully explored.

AIMS

This study examined (1) differences in patient-reported and clinical characteristics by age group and (2) the effect of age on two proxy measures assessing psychological health and self-care adherence after adjusting for potential mediators.

METHODS

A cross-sectional, correlational design was used. Adults with type 2 diabetes (T2D) were recruited from a university hospital in Korea between 2019 and 2020. Participants were divided into four groups based on years of age (40s and younger group [n = 27]; 50s group [n = 47]; 60s group [n = 54]; and 70s and older group [n = 48]) to compare patient-reported and clinical characteristics. Chi-square tests, ANOVA, Kruskal-Wallis tests, and logistic regression analysis were performed to assess group differences and effect of age on psychological health and self-care adherence.

RESULTS

Of 178 participants, two-thirds were men (n = 114; 64.41%). The mean ages in the 40s and younger, 50s, 60s, and 70s and older groups were 39.4, 54.7, 63.9, and 76.0 years, respectively. There were significant differences in patient-reported and clinical characteristics by age group. The youngest group reported the poorest psychological health and self-care behaviors. Although the oldest group showed the poorest physical functioning, this group also showed the highest self-care adherence and the best psychological health. Regarding clinical characteristics, traditional diabetes-related blood test results showed no significant group differences.

LINKING EVIDENCE TO ACTION

Age-specific diabetes care needs were identified in adults with T2D. Interventions to improve psychological health and priming effects of behavioral adherence need to be developed. Furthermore, meticulous investigation to detect potential complications early is essential in adults with T2D.

Dietary knowledge assessment among the patients with type 2 diabetes in Madinah: A cross-sectional study

Background

There is a huge burden of nutrition-related non-communicable diseases, and diabetes is one of the leading chronic nutrition-related diseases affecting more than 500 million people globally. Collecting information regarding the awareness of dietary and nutrition knowledge among diabetic patients is the first step to developing a disease prevention program. Thus, this study primarily aims at assessing the dietary awareness of diabetes patients attending the diabetic centre in Madinah governorate, Saudi Arabia.

Methods

The study was started in November 2020 and ended in October 2021. The study participants (315) were type 2 diabetes mellitus (T2DM) patients attending a diabetic centre in Madinah, Saudi Arabia. A self-prepared dietary knowledge questionnaire (DKQ) was used in this research. The variables include balanced diet, food type, food choice, carbohydrate, protein, and fat. Knowledge score was, and the total score was levelled/categorized into 'good', 'average', and 'poor'. Data were analysed by SPSS v.26.

Results

The study results identified the current knowledge of T2DM patients about different dietary items. The knowledge score of 62.2% of participants showed an average level of dietary knowledge, which is statistically significant. When we separately evaluated their understanding of different dietary components, we found that T2DM patients had poor knowledge of carbohydrates (30.15%), fat, food choices (47.7%), and type (34.6%). However, they had acceptable knowledge of proteins (56.5%).

Conclusion

Our participants exhibited acceptable knowledge about proteins but poorer knowledge of other food groups. A healthy, well-balanced diet is essential for excellent glycaemic control. Educating and arranging a health education program regarding dietary knowledge is recommended, specially designed for diabetic patients so that patients can opt for a healthier lifestyle.

Associations of Clinical Risk Factors and Novel Biomarkers With Age at Onset of Type 2 Diabetes

CONTEXT

Younger onset of type 2 diabetes (T2D) was associated with higher risks of vascular complications and mortality.

OBJECTIVE

To prospectively assess risk profiles for incident T2D stratified by age at onset.

METHODS

A total of 471 269 participants free of T2D at baseline were included from the UK Biobank. Approximately 70 clinical, lipid, lipoprotein, inflammatory, and metabolic markers, and genetic risk scores (GRSs) were analyzed. Stratified Cox proportional-hazards regression models were used to estimate hazard ratios (HRs) for T2D with age of diagnosis divided into 4 groups (≤50.0, 50.1-60.0, 60.1-70.0, and >70.0 years).

RESULTS

During 11 years of follow-up, 15 805 incident T2D were identified. Among clinical risk factors, obesity had the highest HR at any age, ranging from 13.16 (95% CI, 9.67-17.91) for 50.0 years and younger to 4.13 (3.78-4.51) for older than 70.0 years. Other risks associated with T2D onset at age 50.0 years and younger included dyslipidemia (3.50, 2.91-4.20), hypertension (3.21, 2.71-3.80), cardiovascular disease (2.87, 2.13-3.87), parental history of diabetes (2.42, 2.04-2.86), education lower than college (1.89, 1.57-2.27), physical inactivity (1.73, 1.43-2.10), smoking (1.38, 1.13-1.68), several lipoprotein particles, inflammatory markers, liver enzymes, fatty acids, amino acids, as well as GRS. Associations of most risk factors and biomarkers were markedly attenuated with increasing age at onset (P interaction <.05), and some were not significant for onset at age older than 70.0 years, such as smoking, systolic blood pressure, and apolipoprotein B.

CONCLUSION

Most risk factors or biomarkers had stronger relative risks for T2D at younger ages, which emphasizes the necessity of promoting primary prevention among younger individuals. Moreover, obesity should be prioritized.

GLP1R rs3765467 Polymorphism Is Associated with the Risk of Early Onset Type 2 Diabetes

Objective

To investigate the relationship between glucagon-like peptide-1 receptor gene polymorphisms and susceptibility to early onset type 2 diabetes.

Methods

Samples from 316 type 2 diabetes patients with early onset type 2 diabetes (n = 137) and late-onset type 2 diabetes (n = 179) and 145 nondiabetic individuals were analyzed. Multiplex PCR combined with resequencing Hi-Reseq technology was used to detect single nucleotide polymorphisms of the glucagon-like peptide-1 receptor gene, and the allele frequency, genotype distribution, and clinical parameters were analyzed between each diabetes subgroup and the control group.

Results

Sixteen single nucleotide polymorphisms were identified in the exonic region of the glucagon-like peptide-1 receptor gene according to the minor allele frequency (MAF > 0.05) in the participants. Among these, the glucagon-like peptide-1 receptor rs3765467 (G⟶A) mutation was statistically associated with early onset type 2 diabetes. Compared with that of the GG carriers, carriers of genotype AA at rs3765467 had a decreased risk of early onset type 2 diabetes after adjusting for sex and body mass index. In the dominant model, the frequencies of the rs3765467 AA + GA genotype were significantly decreased in the early onset type 2 diabetes group, and carriers of genotype AA + GA at rs3765467 had a decreased risk of early onset type 2 diabetes after adjusting for sex and body mass index. Moreover, fasting C peptide levels were significantly higher in GA + AA genotype carriers than those in GG genotype carriers.

Conclusion

The glucagon-like peptide 1 receptor rs3765467 polymorphism was significantly associated with age at type 2 diabetes diagnosis and thus may be used as a marker to screen and detect individuals at risk of developing early onset type 2 diabetes.

Alignment Between 24-h Light-Dark and Activity-Rest Rhythms Is Associated With Diabetes and Glucose Metabolism in a Nationally Representative Sample of American Adults

OBJECTIVE

The alignment between environmental stimuli (e.g., dark, light) and behavior cycles (e.g., rest, activity) is an essential feature of the circadian timing system, a key contributor to metabolic health. However, no previous studies have investigated light-activity alignment in relation to glycemic control in human populations.

RESEARCH DESIGN AND METHODS

The analysis included ∼7,000 adults (aged 20-80 years) from the National Health and Nutrition Examination Survey (NHANES) (2011-2014) with actigraphy-measured, multiday, 24-h activity and light data. We used phasor analysis to derive phasor magnitude and phasor angle, which measures coupling strength and phase difference between the activity-rest and light-dark cycles, respectively. We used multinomial logistic regression and multiple linear regression to study phasor magnitude and phasor angle in relation to diabetes (primary outcome) and multiple secondary biomarkers of glycemic control.

RESULTS

Lower alignment strength (i.e., a shorter phasor magnitude) and more delayed activity relative to the light cycle (i.e., a larger phasor angle) were both associated with diabetes. Specifically, compared with individuals in the quintiles indicating the most proper alignment (Q5 for phasor magnitude and Q1 for phasor angle), those in the quintiles with the most impaired alignment had a >70% increase in the odds of diabetes for phasor magnitude (odds ratio 1.76 [95% CI 1.39, 2.24]) and for phasor angle (1.73 [1.34, 2.25]). Similar associations were observed for biomarkers for glucose metabolism. The results were generally consistent across diverse sociodemographic and obesity groups.

CONCLUSIONS

The alignment pattern between 24-h activity-rest and light-dark cycles may be a critical factor in metabolic health.

10-Year Cardiovascular Risk in Patients With Newly Diagnosed Type 2 Diabetes Mellitus

BACKGROUND

Contemporary data on cardiovascular disease (CVD) risk in patients with newly diagnosed type 2 diabetes mellitus (T2DM) is needed to guide appropriate preventive management.

OBJECTIVES

The authors sought to investigate sex- and age-specific 10-year CVD risk in patients with newly diagnosed T2DM compared with the general population.

METHODS

A cohort study was conducted of all Danish patients with T2DM diagnosed between 2006 and 2013 (n = 142,587) and sex- and age-matched individuals from the general population (n = 388,410), all without prior atherosclerotic CVD. Ten-year CVD risk (myocardial infarction, stroke, and fatal CVD) was estimated.

RESULTS

A total of 52,471 CVD events were recorded. Compared with the general population, the 10-year CVD risks were higher in patients with T2DM in both sexes and across all age groups, especially among younger individuals. For example, patients aged 40 to 49 years had the largest 10-year CVD risk difference (T2DM 6.1% vs general population 3.3%; risk difference: 2.8%, subdistribution HR: 1.91; 95% CI: 1.76-2.07). The age when a given CVD risk was reached differed substantially between the cohorts. Thus, a 10-year CVD risk of 5% was reached at age 43 in men with T2DM compared with 12 years later, at age 55, in men without T2DM. A 10-year CVD risk of 5% was reached at age 51 in women with T2DM and 10 years later, at age 61, in women without T2DM.

CONCLUSIONS

Newly diagnosed T2DM increased 10-year CVD risk across both sexes and all age groups, especially among younger patients, with CVD occurring ≤12 years earlier than in general population individuals.

Understanding the Global Burden of Influenza in Adults Aged 18-64 years: A Systematic Literature Review from 2012 to 2022

INTRODUCTION

Adults aged 18-64 years comprise most of the working population, meaning that influenza infection can be disruptive, causing prolonged absence from the workplace, and reduced productivity and the ability to care for dependents. Influenza vaccine uptake is relatively low, even among the older adults in this population (i.e., aged 50-64 years), reflecting a lack of perceived need for vaccination. This systematic literature review (SLR) aimed to characterize the global burden of influenza in the 18-64 years population.

METHODS

An electronic database search was conducted and supplemented with conference and gray literature searches. Eligible studies described at least one of clinical, humanistic, or economic outcomes in adults aged 18-64 years and conducted across several global regions. Included studies were published in English, between January 1, 2012, and September 20, 2022.

RESULTS

A total of 40 publications were included, with clinical, humanistic, and economic outcomes reported in 39, 5, and 15, respectively. Risk of influenza-associated clinical outcomes were reported to increase with age among the 18-64 years population, including hospitalizations (Yamana et al. in Intern Med 60:3401-3408, 2021; Derqui et al. in Influenza Other Respir Viruses 16:862-872, 2022; Fuller et al. in Influenza Other Respir Viruses 16:265-275, 2022; Ortiz et al. in Crit Care Med 42:2325-2332, 2014; Yandrapalli et al. in Ann Transl Med 6:318, 2018; Zimmerman et al. in Influenza Other Respir Viruses 16:1133-1140, 2022). ICU admissions, mortality, ER/outpatient visits, and use of mechanical ventilation were recorded. Adults aged 18-64 years with underlying comorbidities were at higher risk of influenza-related hospitalizations, ICU admission, and mortality than otherwise healthy individuals. Length of hospital stay increased with age, although a lack of stratification across other economic outcomes prevented identification of further trends across age groups.

CONCLUSIONS

High levels of hospitalization and outpatient visits demonstrated a clinical influenza-associated burden on patients and healthcare systems, which is exacerbated by comorbidities. Considering the size and breadth of the general population aged 18-64 years, the limited humanistic and economic findings of this SLR likely reflect an underreported burden. Greater investigation into indirect costs and prolonged absenteeism associated with influenza infection is required to fully understand the economic burden in this population.

Application of the Theoretical Framework of Acceptability to assess a telephone-facilitated health coaching intervention for the prevention and management of type 2 diabetes

Background

Lifestyle interventions focusing on diet and physical activity for the prevention and management of type 2 diabetes have been found effective. Acceptance of the intervention is crucial. The Theoretical Framework of Acceptability (TFA) developed by Sekhon et al. (2017) describes the multiple facets of acceptance: Affective attitude, burden, perceived effectiveness, ethicality, intervention coherence, opportunity costs and self-efficacy. The aims of this study were to develop and assess the psychometric properties of a measurement scale for acceptance of a telephone-facilitated health coaching intervention, based on the TFA; and to determine the acceptability of the intervention among participants living with diabetes or having a high risk of diabetes in socioeconomically disadvantaged areas in Stockholm.

Methods

This study was nested in the implementation trial SMART2D (Self-management approach and reciprocal learning for type 2 diabetes). The intervention consisted of nine telephone-facilitated health coaching sessions delivered individually over a 6-month period. The acceptability of the intervention was assessed using a questionnaire consisting of 19 Likert scale questions developed using Sekhon’s TFA. Exploratory factor analysis (EFA) was performed.

Results

Ratings from 49 participants (19 with type 2 diabetes and 30 at high risk of developing diabetes) in ages 38–65 were analyzed. The EFA on the acceptability scale revealed three factors with acceptable reliabilities: affective attitude (alpha 0.90), coherence and understanding (alpha 0.77), perceived burden (alpha 0.85), explaining 82% of the variance. Positive affect and coherence had high median scores and small variance. Median score for perceived burden was low, but with significant variance due to younger individuals and those at high risk reporting higher burden.

Conclusions

The telephone-facilitated health coaching intervention was perceived as acceptable by the study population using a questionnaire based on Sekhon’s TFA, with a wider variation in perceived burden seen among high risk and younger participants.

Development of a 5-year risk prediction model for type 2 diabetes in individuals with incident HbA1c-defined pre-diabetes in Denmark

INTRODUCTION

Pre-diabetes increases the risk of type 2 diabetes, but data are sparse on predictors in a population-based clinical setting. We aimed to develop and validate prediction models for 5-year risks of progressing to type 2 diabetes among individuals with incident HbA1c-defined pre-diabetes.

RESEARCH DESIGN AND METHODS

In this population-based cohort study, we used data from the Danish National Health Survey (DNHS; n=486 495), linked to healthcare registries and nationwide laboratory data in 2012-2018. We included individuals with a first HbA1c value of 42-47 mmol/mol (6.0%-6.4%), without prior indications of diabetes. To estimate individual 5-year cumulative incidences of type 2 diabetes (HbA1c ≥48 mmol/mol (6.5%)), Fine-Gray survival models were fitted in random 80% development samples and validated in 20% validation samples. Potential predictors were HbA1c, demographics, prescriptions, comorbidities, socioeconomic factors, and self-rated lifestyle.

RESULTS

Among 335 297 (68.9%) participants in DNHS with HbA1c measurements, 26 007 had pre-diabetes and were included in the study. Median HbA1c was 43.0 mmol/mol (IQR 42.0-44.0 mmol/mol, 6.1% (IQR 6.0%-6.2%)), median age was 69.6 years (IQR 61.0-77.1 years), and 51.9% were women. During a median follow-up of 2.7 years, 11.8% progressed to type 2 diabetes and 10.1% died. The final prediction model included HbA1c, age, sex, body mass index (BMI), any antihypertensive drug use, pancreatic disease, cancer, self-reported diet, doctor's advice to lose weight or change dietary habits, having someone to talk to, and self-rated health. In the validation sample, the 5-year area under the curve was 72.7 (95% CI 71.2 to 74.3), and the model was well calibrated.

CONCLUSIONS

In addition to well-known pre-diabetes predictors such as age, sex, and BMI, we found that measures of self-rated lifestyle, health, and social support are important and modifiable predictors for diabetes. Our model had an acceptable discriminative ability and was well calibrated.

Applications for social security benefits related to diabetes in the working age in Italy between 2009 and 2019: a nationwide retrospective cohort study

OBJECTIVES

The aim of this study is to estimate the average number of claims for social security benefits from workers with diabetes-related disability.

DESIGN

Nationwide retrospective cohort study.

SETTING

The database of the Italian Social Security Institute (INPS) was used to analyse the trends and the breakdown of all claims for social security benefit with diabetes as primary diagnosis from 2009 to 2019.

PARTICIPANTS

We selected all the applications with the 250.xx International Classification of Diseases, Ninth Revision-CM diagnosis code from 2009 to 2019.

PRIMARY AND SECONDARY OUTCOME MEASURES

The ratio between accepted or rejected claims for both ordinary incapacity benefit (OIB) and disability pension (DP) and total submitted claims over a 10-year period was computed.

RESULTS

From 2009 to 2019, 40 800 applications for social security benefits were filed with diabetes as the principal diagnosis, with an annual increase of 30% per year. Throughout the study decade, there was a higher rate of rejected (67.2%) than accepted (32.8%) applications. Among the accepted requests, most of them (30.7%) were recognised as OIB and the remaining 2.1% were recognised as DP. When related to the total number of claims presented per year, there was a 8.8% decrease of rejected applications, associated with a 20.6% increase of overall acceptance rate. In terms of time trends, the overall rise of submitted requests from 2009 to 2019 resulted in an increase in both rejected (+18%) and accepted (+61% for OIB, +11% for DP) applications. The higher rate of accepted requests was for workers aged 51-60 years, with 52% of admitted applications.

CONCLUSIONS

Between 2009 and 2019, the number of applications for social security benefits due to diabetes in Italy increased significantly, and so did the number of applications approved, mainly represented by the OIBs.

Long term Weight Loss in a Primary Care-Anchored eHealth Lifestyle Coaching Program in Denmark: Randomized Controlled Trial (Preprint)

Background

Long-term weight loss in people living with obesity can reduce the risk and progression of noncommunicable diseases. Observational studies suggest that digital coaching can lead to long-term weight loss.

Objective

We investigated whether an eHealth lifestyle coaching program for people living with obesity with or without type 2 diabetes led to significant, long-term (12-month) weight loss compared to usual care.

Methods

In a randomized controlled trial that took place in 50 municipalities in Denmark, 340 people living with obesity with or without type 2 diabetes were enrolled from April 16, 2018, to April 1, 2019, and randomized via an automated computer algorithm to an intervention (n=200) or a control (n=140) group. Patients were recruited via their general practitioners, the Danish diabetes organization, and social media. The digital coaching intervention consisted of an initial 1-hour face-to-face motivational interview followed by digital coaching using behavioral change techniques enabled by individual live monitoring. The primary outcome was change in body weight from baseline to 12 months.

Results

Data were assessed for 200 participants, including 127 from the intervention group and 73 from the control group, who completed 12 months of follow-up. After 12 months, mean body weight and BMI were significantly reduced in both groups but significantly more so in the intervention group than the control group (–4.5 kg, 95% CI –5.6 to –3.4 vs –1.5 kg, 95% CI –2.7 to –0.2, respectively; P<.001; and –1.5 kg/m², 95% CI –1.9 to –1.2 vs –0.5 kg/m², 95% CI –0.9 to –0.1, respectively; P<.001). Hemoglobin A_1c was significantly reduced in both the intervention (–6.0 mmol/mol, 95% CI –7.7 to –4.3) and control (–4.9 mmol/mol, 95% CI –7.4 to –2.4) groups, without a significant group difference (all P>.46).

Conclusions

Compared to usual care, digital lifestyle coaching can induce significant weight loss for people living with obesity, both with and without type 2 diabetes, after 12 months.

Trial Registration

ClinicalTrials.gov NCT03788915; https://clinicaltrials.gov/ct2/show/NCT03788915

Contribution of rare variants in monogenic diabetes-genes to early-onset type 2 diabetes

AIM

This study investigated whether rare, deleterious variants in monogenic diabetes-genes are associated with early-onset type 2 diabetes (T2D).

METHODS

A nested case-control study was designed from 9,712 Italian patients with T2D. Individuals with age at diabetes onset ≤35 yrs (n=300; cases) or ≥65 yrs (n=300; controls) were selected and screened for variants in 27 monogenic diabetes-genes by targeted resequencing. Rare (minor allele frequency-MAF <1%) and possibly deleterious variants were collectively tested for association with early-onset T2D. The association of a genetic risk score (GRS) based on 17 GWAS-SNPs for T2D was also tested.

RESULTS

When all rare variants were considered together, each increased the risk of early-onset T2D by 65% (allelic OR =1.64, 95% CI: 1.08-2.48, p=0.02). Effects were similar when the 600 study participants were stratified according to their place of recruitment (Central-Southern Italy, 182 cases vs. 142 controls, or Rome urban area, 118 vs. 158, p for heterogeneity=0.53). Progressively less frequent variants showed increasingly stronger effects in the risk of early-onset T2D for those with MAF <0.001% (OR=6.34, 95% CI: 1.87-22.43, p=0.003). One unit of T2D-GRS significantly increased the risk of early-onset T2D (OR 1.09, 95% CI: 1.01-1.18; p=0.02). This association was stronger among rare variants carriers as compared to non-carriers (p=0.02).

CONCLUSION

Rare variants in monogenic-diabetes genes are associated with an increased risk of early-onset T2D, and interact with common T2D susceptibility variants in shaping it. These findings might help develop prediction tools to identify individuals at high risk of developing T2D in early adulthood.

Poor Glycaemic Control and its Associated Factors among Type 2 Diabetes Mellitus Patients in Southern Part of Peninsular Malaysia: A Registry-based Study

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a growing global health concern that is likely to reach a pandemic level by 2030 and is one of the leading causes of death globally. Recently, T2DM has been causing an increase in premature mortality including in developing countries. AIM: This study aimed to determine the prevalence and the factors associated with poor glycaemic control among Type 2 diabetes mellitus (T2DM) patients in Segamat, Malaysia.  METHOD: The study population was selected from the National Diabetic Registry (NDR) database between June 2019 and September 2020 which included a total of 3,100 patients. General and clinical information were retrieved from the registry. Glycaemic control was categorised as good (HbA1c ≤6.5 %) or poor (HbA1c >6.5%). Univariable and multivariable logistic regression were performed to assess the factors of poor glycaemic control RESULTS: More than half (59.2%) of the patients had poor glycaemic control. As high as 55.1% of older patients (≥60 years old) had poorer glycaemic control. Most patients with poor glycaemic control (62.0%) were obese. Multiple logistic regression analysis revealed that age (≥60 years old), ethnicity (Malay and Indian), more than 10 years of diabetes, obesity, early diabetes onset before 40 years, and dyslipidaemia were associated with poor glycaemic control. CONCLUSION: These findings can provide the necessary guidance for the stakeholders in identifying T2DM patients at risk of poor glycaemic control so that early preventive measures and organised care can be provided for the patients.

Interaction between a diabetes-related methylation site (TXNIP cg19693031) and variant (GLUT1 rs841853) on fasting blood glucose levels among non-diabetics

Background

Type 2 diabetes mellitus (T2DM) is caused by a combination of environmental, genetic, and epigenetic factors including, fasting blood glucose (FBG), genetic variant rs841853, and cg19693031 methylation. We evaluated the interaction between rs841853 and cg19693031 on the FBG levels of non-diabetic Taiwanese adults.

Methods

We used Taiwan Biobank (TWB) data collected between 2008 and 2016. The TWB data source contains information on basic demographics, personal lifestyles, medical history, methylation, and genotype. The study participants included 1300 people with DNA methylation data. The association of cg19693031 methylation (stratified into quartiles) with rs841853 and FBG was determined using multiple linear regression analysis. The beta-coefficients (β) and p-values were estimated.

Results

The mean ± standard deviation (SD) of FBG in rs841853-CC individuals (92.07 ± 7.78) did not differ significantly from that in the CA + AA individuals (91.62 ± 7.14). However, the cg19693031 methylation levels were significantly different in the two groups (0.7716 ± 0.05 in CC individuals and 0.7631 ± 0.05 in CA + AA individuals (p = 0.002). The cg19693031 methylation levels according to quartiles were β < 0.738592 (< Q1), 0.738592 ≤ 0.769992 (Q1–Q2), 0.769992 ≤ 0.800918 (Q2–Q3), and β ≥ 0.800918 (≥ Q3). FBG increased with decreasing cg19693031 methylation levels in a dose–response manner (p_trend = 0.005). The β-coefficient was − 0.0236 (p = 0.965) for Q2–Q3, 1.0317 (p = 0.058) for Q1–Q2, and 1.3336 (p = 0.019 for < Q1 compared to the reference quartile (≥ Q3). The genetic variant rs841853 was not significantly associated with FBG. However, its interaction with cg19693031 methylation was significant (p-value = 0.036). Based on stratification by rs841853 genotypes, only the CC group retained the inverse and dose–response association between FBG and cg19693031 methylation. The β (p-value) was 0.8082 (0.255) for Q2–Q3, 1.6930 (0.022) for Q1–Q2, and 2.2190 (0.004) for < Q1 compared to the reference quartile (≥ Q3). The p_trend was 0.002.

Conclusion

Summarily, methylation at cg19693031 was inversely associated with fasting blood glucose in a dose-dependent manner. The inverse association was more prominent in rs841853-CC individuals, suggesting that rs841853 could modulate the association between cg19693031 methylation and FBG. Our results suggest that genetic variants may be involved in epigenetic mechanisms associated with FBG, a hallmark of diabetes. Therefore, integrating genetic and epigenetic data may provide more insight into the early-onset of diabetes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-022-03269-y.

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.

The effect of comorbidities on glycemic control among Colombian adults with diabetes mellitus: a longitudinal approach with real-world data

BACKGROUND

Achieving an optimal glycemic control has been described to reduce the incidence of diabetes mellitus (DM) related complications. The association between comorbidities and glycemic control remains unclear. Our aim is to evaluate the effect of comorbidities on glycemic control in people living with DM.

METHODS

A retrospective longitudinal study on data from the National Registry of Chronic Kidney Disease from 2014 to 2019 in Colombia. The outcome was poor glycemic control (PGC = HbA1c ≥7.0%). The association between each comorbidity (hypertension (HTN), chronic kidney disease (CKD) or obesity) and PGC was evaluated through multivariate mixed effects logistic regression models. The measures of effect were odds ratios (OR) and their 95% confidence intervals (CI). We also evaluated the main associations stratified by gender, insurance, and early onset diabetes as well as statistical interaction between each comorbidity and ethnicity.

RESULTS

From 969,531 people at baseline, 85% had at least one comorbidity; they were older and mostly female. In people living with DM and CKD, the odds of having a PGC were 78% (OR: 1.78, CI 95%: 1.55-2.05) higher than those without CKD. Same pattern was observed in obese for whom the odds were 52% (OR: 1.52, CI 95%: 1.31-1.75) higher than in non-obese. Non-significant association was found between HTN and PGC. We found statistical interaction between comorbidities and ethnicity (afro descendant) as well as effect modification by health insurance and early onset DM.

CONCLUSIONS

Prevalence of comorbidities was high in adults living with DM. Patients with concomitant CKD or obesity had significantly higher odds of having a PGC.

Disclosure of New Type 2 Diabetes Diagnoses to Younger Adults: a Qualitative Study

BACKGROUND

Adults diagnosed with type 2 diabetes at a younger age are at increased risk for poor outcomes. Yet, little is known about the early experiences of these individuals, starting with communication of the diagnosis. Addressing this knowledge gap is important as this initial interaction may shape subsequent disease-related perceptions and self-management.

OBJECTIVE

We examined diagnosis disclosure experiences and initial reactions among younger adults with newly diagnosed type 2 diabetes.

PARTICIPANTS

Purposive sample of adult members of Kaiser Permanente Northern California, an integrated healthcare delivery system, diagnosed with type 2 diabetes before age 45 years.

APPROACH

We conducted six focus groups between November 2017 and May 2018. Transcribed audio recordings were coded by two coders using thematic analysis.

KEY RESULTS

Participants (n = 41) were 38.4 (± 5.8) years of age; 10 self-identified as Latinx, 12 as Black, 12 as White, and 7 as multiple or other races. We identified variation in diagnosis disclosure experiences, centered on four key domains: (1) participants' sense of preparedness for diagnosis (ranging from expectant to surprised); (2) disclosure setting (including in-person, via phone, via secure message, or via review of results online); (3) perceived provider tone (from nonchalant, to overly fear-centered, to supportive); and (4) participants' emotional reactions to receiving the diagnosis (including acceptance, denial, guilt, and/or fear, rooted in personal and family experience).

CONCLUSIONS

For younger adults, the experience of receiving a diabetes diagnosis varies greatly. Given the long-term consequences of inadequately managed diabetes and the need for early disease control, effective initial disclosure represents an opportunity to optimize initial care. Our results suggest several opportunities to improve the type 2 diabetes disclosure experience: (1) providing pre-test counseling, (2) identifying patient-preferred settings for receiving the news, and (3) developing initial care strategies that acknowledge and address the emotional distress triggered by this life-altering, chronic disease diagnosis.

Identification of Important Factors Affecting Use of Digital Individualised Coaching and Treatment of Type 2 Diabetes in General Practice: A Qualitative Feasibility Study

Most type 2 diabetes patients are treated in general practice and there is a need of developing and implementing efficient lifestyle interventions. eHealth interventions have shown to be effective in promoting a healthy lifestyle. The purpose of this study was to test the feasibility, including the identification of factors of importance, when offering digital lifestyle coaching to type 2 diabetes patients in general practice. We conducted a qualitative feasibility study with focus group interviews in four general practices. We identified two overall themes and four subthemes: (1) the distribution of roles and lifestyle interventions in general practice (subthemes: external and internal distribution of roles) and (2) the pros and cons for digital lifestyle interventions in general practice (subthemes: access to real life data and change in daily routines). We conclude that for digital lifestyle coaching to be feasible in a general practice setting, it was of great importance that the general practitioners and practice nurses knew the role and content of the intervention. In general, there was a positive attitude in the general practice setting towards referring type 2 diabetes patients to digital lifestyle intervention if it was easy to refer the patients and if easily understandable and accessible feedback was implemented into the electronic health record. It was important that the digital lifestyle intervention was flexible and offered healthcare providers in general practice an opportunity to follow the type 2 diabetes patient closely.

Epidemiology of Type 2 Diabetes - Global Burden of Disease and Forecasted Trends

The rising burden of type 2 diabetes is a major concern in healthcare worldwide. This research aimed to analyze the global epidemiology of type 2 diabetes. We analyzed the incidence, prevalence, and burden of suffering of diabetes mellitus based on epidemiological data from the Global Burden of Disease (GBD) current dataset from the Institute of Health Metrics, Seattle. Global and regional trends from 1990 to 2017 of type 2 diabetes for all ages were compiled. Forecast estimates were obtained using the SPSS Time Series Modeler. In 2017, approximately 462 million individuals were affected by type 2 diabetes corresponding to 6.28% of the world’s population (4.4% of those aged 15–49 years, 15% of those aged 50–69, and 22% of those aged 70+), or a prevalence rate of 6059 cases per 100,000. Over 1 million deaths per year can be attributed to diabetes alone, making it the ninth leading cause of mortality. The burden of diabetes mellitus is rising globally, and at a much faster rate in developed regions, such as Western Europe. The gender distribution is equal, and the incidence peaks at around 55 years of age. Global prevalence of type 2 diabetes is projected to increase to 7079 individuals per 100,000 by 2030, reflecting a continued rise across all regions of the world. There are concerning trends of rising prevalence in lower-income countries. Urgent public health and clinical preventive measures are warranted.

Diabetic polyneuropathy and pain, prevalence, and patient characteristics: a cross-sectional questionnaire study of 5,514 patients with recently diagnosed type 2 diabetes

Supplemental Digital Content is Available in the Text.

Diabetic polyneuropathy and painful diabetic polyneuropathy are frequent in early type 2 diabetes, associated with modifiable risk factors, and have major impact on mental health.

Most studies of diabetic polyneuropathy (DPN) and painful DPN are conducted in persons with longstanding diabetes. This cross-sectional study aimed to estimate the prevalence of DPN and painful DPN, important risk factors, and the association with mental health in recently diagnosed type 2 diabetes. A total of 5514 (82%) patients (median diabetes duration 4.6 years) enrolled in the Danish Centre for Strategic Research in Type 2 Diabetes cohort responded to a detailed questionnaire on neuropathy and pain. A score ≥4 on the MNSI questionnaire determined possible DPN, whereas pain presence in both feet together with a score ≥3 on the DN4 questionnaire determined possible painful DPN. The prevalence of possible DPN and possible painful DPN was 18% and 10%, respectively. Female sex, age, diabetes duration, body mass index, and smoking were associated with possible DPN, whereas only smoking showed a clear association with possible painful DPN (odds ratio 1.52 [95% confidence interval: 1.20-1.93]). Possible DPN and painful DPN were independently and additively associated with lower quality of life, poorer sleep, and symptoms of depression and anxiety. Possible DPN itself had greater impact on mental health than neuropathic pain. This large study emphasizes the importance of careful screening for DPN and pain early in the course of type 2 diabetes.

Disentangling the heterogeneity of adulthood-onset non-autoimmune diabetes: a little closer but lot more to do

Diabetes diagnosed in adults is a highly heterogeneous disorder. It mostly consists of what is referred to as type 2 diabetes but also comprises other entities (i.e. different diseases), including latent autoimmune diabetes, late onset forms of monogenic diabetes and familial diabetes of the adulthood, which has recently been the source of new diabetogenes discovery. Notably, type 2 diabetes is itself heterogeneous as it includes subtypes with onset at the extremes of age and/or weight distributions characterized by different degree of hyperglycemia and cardiovascular risk as compared to common forms of type 2 diabetes occurring in middle-aged, overweight/obese individuals. Understanding whether these are different presentations of one, highly heterogeneous disease or separate nosological entities with different clinical trajectories and requiring different treatments is essential to effectively pursue the path of precision medicine.

Statin Therapy and Risk of Polyneuropathy in Type 2 Diabetes: A Danish Cohort Study

OBJECTIVE

Statins may reduce the risk of diabetic polyneuropathy (DPN) as a result of lipid-lowering and anti-inflammatory effects, but statins have also been associated with neurotoxicity. We examined whether statin therapy affects the risk of DPN.

RESEARCH DESIGN AND METHODS

We identified all Danish patients with incident type 2 diabetes during 2002-2016. New users initiated statins between 180 days before and 180 days after their first diabetes record, while prevalent users had initiated statins before that period. Patients were followed for incident DPN using validated hospital diagnosis codes, starting 180 days after their first diabetes record. Cox proportional hazard analysis was used to compute adjusted hazard ratios (aHRs) for DPN.

RESULTS

The study cohort comprised 59,255 (23%) new users, 75,528 (29%) prevalent users, and 124,842 (48%) nonusers; median follow-up time was 6.2 years (interquartile range 3.4-9.6). The incidence rate of DPN events per 1,000 person-years was similar in new users (4.0 [95% CI 3.8-4.2]), prevalent users (3.8 [3.6-3.9]), and nonusers (3.8 [3.7-4.0]). The aHR for DPN was 1.05 (0.98-1.11) in new users and 0.97 (0.91-1.04) in prevalent users compared with statin nonusers. New users had a slightly increased DPN risk during the first year (1.31 [1.12-1.53]), which vanished after >2 years of follow-up. Findings were similar in on-treatment and propensity score-matched analyses and with additional adjustment for pretreatment blood lipid levels.

CONCLUSIONS

Statin therapy is unlikely to increase or mitigate DPN risk in patients with type 2 diabetes, although a small acute risk of harm cannot be excluded.

An Early-Onset Subgroup of Type 2 Diabetes: A Multigenerational, Prospective Analysis in the Framingham Heart Study

OBJECTIVE

To assess the relation of type 2 diabetes occurring earlier (age <55 years) versus later in life to the risk of cardiovascular death and to diabetes in offspring.

RESEARCH DESIGN AND METHODS

In the Framingham Heart Study, a community-based prospective cohort study, glycemic status was ascertained at serial examinations over six decades among 5,571 first- and second-generation participants with mortality data and 2,123 second-generation participants who initially did not have diabetes with data on parental diabetes status. We assessed cause of death in a case (cardiovascular death)-control (noncardiovascular death) design and incident diabetes in offspring in relation to parental early-onset diabetes.

RESULTS

Among the participants in two generations (N = 5,571), there were 1,822 cardiovascular deaths (including 961 coronary deaths). The odds of cardiovascular versus noncardiovascular death increased with decreasing age of diabetes onset (P < 0.001 trend). Compared with never developing diabetes, early-onset diabetes conferred a 1.81-fold odds (95% CI 1.10-2.97, P = 0.02) of cardiovascular death and 1.75-fold odds (0.96-3.21, P = 0.07) of coronary death, whereas later-onset diabetes was not associated with greater risk for either (P = 0.09 for cardiovascular death; P = 0.51 for coronary death). In second-generation participants, having a parent with early-onset diabetes increased diabetes risk by 3.24-fold (1.73-6.07), whereas having one or both parents with late-onset diabetes increased diabetes risk by 2.19-fold (1.50-3.19).

CONCLUSIONS

Our findings provide evidence for a diabetes subgroup with an early onset, a stronger association with cardiovascular death, and higher transgenerational transmission.

Poor Control of Blood Glucose, Lifestyle, and Cardiometabolic Parameters in Younger Adult Patients with Type 2 Diabetes Mellitus

This study investigated the awareness, treatment, and control of type 2 diabetes mellitus (T2DM), lifestyle factors, and cardiometabolic parameters according to age groups among patients with T2DM. Data of 1507 patients with T2DM aged ≥35 years in the Korea National Health and Nutrition Examination Survey VI (2013–2015) were analyzed. Multivariable logistic regression models were used to compare the awareness, treatment, and control rate of T2DM and lifestyle and cardiometabolic parameters according to age groups. The adjusted odds ratios (ORs) for lack of awareness about and non-treatment of T2DM, as well as poor glycemic control, were significantly increased with younger age in both men and women. ORs for heavy drinkers and current smokers also significantly increased with younger age in both men and women. The adjusted ORs for high low-density lipoprotein cholesterol (≥100 mg/dL), hypertriglyceridemia (≥150 mg/dL), and obesity significantly increased with younger age in men, but not in women. Among Korean adults with T2DM, awareness, treatment, and control rates of the condition were poorer in younger patients than in older patients. Education regarding the control of glycemia, cardiovascular risk factors, and improvement of lifestyles should be reinforced among younger-aged adults for the long-term management of T2DM.

The impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on clinical, hormonal and metabolic parameters in lean women with polycystic ovary syndrome

This study was performed to assess the impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on clinical, hormonal, and metabolic parameters in lean women with PCOS. Retrospective analysis of 120 consecutive lean PCOS subjects was performed. Subjects were divided into two groups according to HOMA-IR, as IR + and IR-. A HOMA-IR value above 2.5 was used to indicate IR. Clinical, hormonal and metabolic parameters were compared between the two groups. Correlations between LAP and VAI and clinical, hormonal, metabolic features in women PCOS were analyzed. One hundred twenty lean PCOS subjects were enrolled, of which 39 were insulin resistant. Comparison of group means showed significantly higher values for TG levels, FAI, FGS, TG/HDL-c, TyG, LAP, and VAI indexes and lower values for glucose/insulin ratio and QUICKI in the IR + group. LAP and VAI were both found to be positively correlated with each other and with WC, FAI, FGS, TG, TC levels, lipid ratios, TyG index, and HOMA-IR and negatively correlated with Glucose/Insulin ratio, QUICKI, and HDL-c in lean women with PCOS. LAP and VAI may be promising in early identification of IR and cardiometabolic risk and may be useful for the assessment of hyperandrogenism in lean women with PCOS.

Diabetes Treatment, Control, and Hospitalization Among Adults Aged 18 to 44 in Minnesota, 2013-2015

Introduction

Of more than 300,000 adult Minnesotans who have received a diagnosis of diabetes, 16% are younger than 45 years; however, state diabetes surveillance data primarily describe older adults. National reports suggest adults younger than 45 years are less likely than older adults with diabetes to meet blood glucose (hemoglobin A_1c [HbA_1c]) goals. For this study on age-specific differences, we examined Minnesota data sets to determine if younger adults (ie, aged 18–44 y) are less likely to meet HbA_1c goals and if hospitalization patterns differ from older adults (ie, aged 45–74 y) with diabetes.

Methods

We used Behavioral Risk Factor Surveillance System data to describe demographic characteristics and health behaviors of people with diabetes, clinical quality data to assess HbA_1c levels, and hospital discharge data to assess reasons for hospitalization.

Results

Compared with older adults with diabetes, adults aged 18 to 44 were more likely to use tobacco and to have had depression; these younger adults were less likely to report having HbA_1c levels checked in the last year. According to age-specific cutoffs, 40.5% of 18- to 44-year-olds met HbA_1c goals versus 74.7% of people aged 45 to 64 and 84.4% of people aged 65 to 74. Hospitalization rates for diabetes as a primary cause were highest among 18- to 44-year-olds at 47 per 1,000 adults with diabetes, much higher than older ages. Hospitalization rates for mental health problems were higher among younger adults.

Conclusion

Our analysis confirmed that 18- to 44-year-olds with diabetes have poorer HbA_1c control than older adults with diabetes. These results underscore the importance of age-based public health surveillance of diabetes. Age-stratified surveillance can inform efforts to monitor clinical care quality and to design clinical/public health interventions.

Effect of Periodontal Treatment on HbA1c among Patients with Prediabetes

Evidence is limited regarding whether periodontal treatment improves hemoglobin A1c (HbA1c) among people with prediabetes and periodontal disease, and it is unknown whether improvement of metabolic status persists >3 mo. In an exploratory post hoc analysis of the multicenter randomized controlled trial “Antibiotika und Parodontitis” (Antibiotics and Periodontitis)—a prospective, stratified, double-blind study—we assessed whether nonsurgical periodontal treatment with or without an adjunctive systemic antibiotic treatment affects HbA1c and high-sensitivity C-reactive protein (hsCRP) levels among periodontitis patients with normal HbA1c (≤5.7%, n = 218), prediabetes (5.7% < HbA1c < 6.5%, n = 101), or unknown diabetes (HbA1c ≥ 6.5%, n = 8) over a period of 27.5 mo. Nonsurgical periodontal treatment reduced mean pocket probing depth by >1 mm in both groups. In the normal HbA1c group, HbA1c values remained unchanged at 5.0% (95% CI, 4.9% to 6.1%) during the observation period. Among periodontitis patients with prediabetes, HbA1c decreased from 5.9% (95% CI, 5.9% to 6.0%) to 5.4% (95% CI, 5.3% to 5.5%) at 15.5 mo and increased to 5.6% (95% CI, 5.4% to 5.7%) after 27.5 mo. At 27.5 mo, 46% of periodontitis patients with prediabetes had normal HbA1c levels, whereas 47.9% remained unchanged and 6.3% progressed to diabetes. Median hsCRP values were reduced in the normal HbA1c and prediabetes groups from 1.2 and 1.4 mg/L to 0.7 and 0.7 mg/L, respectively. Nonsurgical periodontal treatment may improve blood glucose values among periodontitis patients with prediabetes (ClinicalTrials.gov NCT00707369).

Clinical and Psychosocial Factors Influencing Retinal Screening Uptake Among Young Adults with Type 2 Diabetes

PURPOSE OF REVIEW

Young adults with type 2 diabetes (T2D, 18-39 years) experience early-onset and rapid progression of diabetic retinopathy (DR), the leading cause of vision loss for working age adults. Despite this, uptake of retinal screening, the crucial first step in preventing vision loss from DR, is low. The aim of this review is to summarize the clinical and psychosocial factors affecting uptake of retinal screening.

RECENT FINDINGS

Barriers include lack of diabetes-related symptoms, low personal DR risk perception, high rates of depression and diabetes-related distress, fatalism about inevitability of complications, time and financial constraints, disengagement with existing diabetes self-management services, and perceived stigma due to having a condition associated with older adults. Young adults with T2D are an under-researched population who face an accumulation of barriers to retinal screening. Tailored interventions that address the needs, characteristics, and priorities of young adults with T2D are warranted.