Category: Risk Factors

New study summary:

Study: Nationwide cohort study in Norway, to be presented at the EASD Annual Meeting in Milan and published in Diabetologia. Lead author is PhD student Maria Östman, University of Oslo.

Background: Rotavirus causes gastroenteritis in young children. Norway introduced the oral live-attenuated monovalent Rotarix® vaccine into its national childhood immunization programme in September 2014, with rapid, high uptake — 92.8%. Previous studies on rotavirus vaccine and type 1 diabetes risk have had conflicting results.[T1D]

Methods: Researchers followed all children born in Norway 2007-2019 — 740,744 children — from 0.5 to 5 years of age for T1D diagnosis, with follow-up through Dec 31, 2024. They compared T1D incidence in children born before vs. after the September 2014 rotavirus vaccine introduction.

Main findings:

• 846 children were diagnosed with T1D before age 5.
• Using interrupted time series analysis, the observed incidence after vaccine introduction was 11% higher than the predicted trend based on pre-vaccination data.
• When comparing fully vaccinated children [2 doses of Rotarix] to non-vaccinated children, the adjusted hazard ratio was 1.17, which was not statistically significant.

The authors stated: “This study found no evidence for a reduced risk of type 1 diabetes after introduction of rotavirus vaccination in infancy but found instead that the incidence… increased after rotavirus vaccination was introduced.”

Secondary / negative control analyses — why authors think vaccine is probably not the cause:

To test whether the increase was specific to rotavirus vaccine, they looked at two other unrelated changes to the Norwegian immunisation programme as negative controls:

• Introduction of hepatitis B vaccine in 2016
• Switch from 7-valent to 13-valent pneumococcal vaccine in 2011

Both of those changes were also followed by a similar magnitude increase in T1D incidence, despite no biological reason to expect them to affect T1D risk.

The authors conclude this pattern suggests the 11% increase seen after September 2014 is likely due to other, yet unknown environmental factors and not the rotavirus vaccine itself, and not explained by the combination of vaccine programme changes.

They also considered other potential explanations, including the COVID-19 pandemic — Norway saw a temporary T1D increase in 2022 — and a 2018 change in prenatal ferritin screening guidelines related to iron supplementation, but did not think these explained the findings.

Authors’ interpretation: “We do not believe that rotavirus vaccination increases the risk of type 1 diabetes. We believe there is a need for additional studies on rotavirus vaccination and type 1 diabetes in different settings with different vaccines before concluding anything.” They emphasized the need for more research on environmental factors influencing T1D, which has been generally increasing over past decades.

A new study:
What the study asked: Can how a child’s gut microbiome develops in early life help predict type 1 diabetes in children already at high genetic risk? Type 1 diabetes affects more than 9 million people worldwide, including 1.8 million children and adolescents.

Who did it and how: A prospective study led by Mass General Brigham, the Broad Institute of MIT and Harvard, and Harvard T.H. Chan School of Public Health, published in Nature Metabolism. It analyzed the TEDDY Study — 887 children at high genetic risk for type 1 diabetes from Finland, Germany, Sweden and the U.S., with more than 12,000 stool samples collected over their first 6 years of life.

The researchers counted a child as developing the disease process when blood tests first detected an immune attack on insulin-producing cells, or when they were clinically diagnosed.

Three microbiome patterns were found:

1. Early-matured: rapid change in the first year, high bacterial diversity.
2. Late-matured: slow start with low diversity around age 1, but caught up later.
3. Early-plateaued: slow start that never caught up — low diversity through the first 3 years.

Children with the early-plateaued pattern had about 3 times the risk of developing type 1 diabetes or the early immune attack, compared to children whose microbiomes matured on a typical schedule. This was only visible through repeated sampling over time, not a single snapshot.

Biology behind it: The early-matured group shifted sooner from milk-adapted bacteria like Bifidobacterium to species that break down dietary fiber. The early-plateaued group stayed oriented toward digesting milk sugars even after solids were introduced, and relied on a narrower set of species for key functions.

Genetics mattered too: Lead author Danyue Dong, PhD, and co-corresponding author Daniel Wang, MD, ScD, found that genetic background influenced the link. Variants involved in antimicrobial and antiviral immune responses shaped how strongly the late-matured pattern related to risk. The early-plateaued pattern carried higher risk regardless of genetic background. Combining microbiome and genetic data gave a more accurate risk picture.

Limitations and next steps: This was an observational study in high-risk children, so it cannot prove cause and effect and may not apply to the general population. The authors suggest future pediatric visits could include gut microbiome testing in the first years of life, opening a window for microbiome-directed prevention strategies like dietary supplements — but clinical trials are needed first.

A large international study led by Curtin University and published in Diabetes Care tracked nearly 480,000 adults who were diabetes-free at the start for 14 years.

The researchers looked at sarcopenic obesity — having both excess body fat and low muscle mass/strength.

Key findings:

• Much higher risk: People with sarcopenic obesity were more than 3.5 times as likely to develop type 2 diabetes compared to people with healthy body composition.
• Worse than obesity alone: They were 19% more likely to develop type 2 diabetes than people with obesity alone, and 91% more likely than people with low muscle mass alone (sarcopenia).
• Absolute rates: Within 10 years, nearly 15% of people with sarcopenic obesity developed type 2 diabetes, compared to around 11% with obesity alone and just 3% without either condition.
• Who is most affected: The link was particularly strong among women and adults under 60.

The authors say the results challenge the idea that diabetes risk is driven mainly by weight on the scales. Because muscle uses a lot of glucose and helps regulate insulin resistance, preserving muscle mass and strength through regular physical activity may be just as important as managing weight for prevention.

Lead author was PhD candidate Zhongyang Guan, senior lead Professor Mario Siervo, with comment from Diabetes WA on how physical activity helps use blood glucose and reduce insulin resistance.

Researchers at Chalmers University of Technology led a large Swedish study of 4,685 adults and discovered that changes in gut microbiota and metabolism can show up years before type 2 diabetes develops. Participants gave stool samples, and 383 developed diabetes after ∼5 years of follow-up.

Key bacterial links:

1. 9 specific bacteria were associated with future diabetes risk.
2. Akkermansia muciniphila – usually seen as beneficial – was high in people who later developed diabetes. Researchers think that with low fiber intake, it eats the gut’s protective mucus instead of fiber, causing inflammation and insulin resistance.
3. Coprococcus catus – very low levels were linked to diabetes risk, but above a certain level the risk disappeared.
4. Diet mattered: whether certain gut bacteria were helpful or harmful depended on a person’s eating habits.

Why it matters: The findings suggest gut microbiome changes come before diabetes, not as a result of it. This means stool samples could eventually be used as biomarkers, alongside obesity, genetics, and blood glucose, to identify people at risk earlier and start preventive measures.

Next steps: Results still need validation in larger studies. If confirmed, the microbiome could become a target for personalized prevention through diet and lifestyle, since it can be modified. The study supports current advice to eat fiber-rich foods like fruit, vegetables, legumes, and whole grains.

A new peer-reviewed global analysis found that the burden of type 1 diabetes mellitus (T1DM) in people aged 0–19 has risen sharply from 1990 to 2021, and income-related health gaps have worsened.

Key findings:

• Incidence and prevalence up: Global T1DM incidence nearly tripled, from 2.71 to 7.42 per 100,000. Prevalence also rose sharply from 20.75 to 56.59 per 100,000.
• Geographic patterns: In 2021, North America and Europe had the highest incidence and prevalence rates. African regions had the highest burden of years of life lost (YLLs).
• Widening inequalities: Lower-income countries bear a disproportionate share of T1DM deaths and YLLs. By 2021, countries in the lower half of global income distribution accounted for ∼80% of T1DM mortality burden and ∼86% of T1DM YLL burden. Absolute and relative inequalities both increased since 1990.
• Drivers: Researchers linked the disparities to unequal access to insulin, glucose monitoring, healthcare resources, and diabetes management systems in resource-limited settings.

A UMass Amherst-led study published in Diabetes found that over half of Type 2 diabetes cases could be preventable through lifestyle changes, even for people with high genetic risk.

Key findings from 332,000+ U.K. adults tracked for ~14 years:

• Lifestyle outweighs genetics: People with the least healthy lifestyles were nearly 7x more likely to develop diabetes vs. those with the healthiest habits. High genetic risk only raised risk 2.6x compared to low genetic risk.
• Genetics isn’t destiny: Across all genetic risk levels, healthier lifestyles consistently meant lower diabetes rates. “Even if you’ve lost the genetic lottery,” lifestyle changes still cut risk, says senior author Cassandra Spracklen.
• 55%+ of cases potentially preventable: Researchers estimate that if people with less healthy lifestyles improved their habits, more than 55% of new Type 2 diabetes cases could be avoided.

What counts as a “healthy lifestyle”?
Based on American Heart Association guidelines, the study used 4 factors:

1. BMI – had the strongest link to risk
2. Smoking status
3. Physical activity
4. Diet – had the smallest independent effect

People with 3+ healthy factors were considered to have a healthy lifestyle. Only 4% of participants developed Type 2 diabetes during the study.

Takeaway: You can’t change genetics, but “better” choices — not necessarily perfect ones — can reduce risk or delay onset, cutting long-term complications. Results held across sexes and ancestry groups, and applied to adults aged 40-69 in the UK Biobank.

Researchers at UC San Diego unveiled T1GRS, a new machine learning model that predicts genetic risk for Type 1 diabetes (T1D) more accurately across a broader population. The peer-reviewed study was published April 30, 2026 in Nature Genetics.

What T1GRS does

• Goes beyond high-risk variants: Unlike existing scores that work best for people with known high-risk genes, T1GRS analyzes complex interactions between 199 risk variants across the genome, including the MHC region on chromosome 6.
• Earlier, broader detection: It identifies both children and adults at high risk sooner, including people who develop T1D without the well-known high-risk genetic regions.
• Built on massive data: Trained on genomes from 20,000+ people with T1D and ∼800,000 without, all of European ancestry. Confirmed 79 known loci and found 13 new loci tied to immune function, gene regulation, and blood sugar control.

4 T1D subtypes identified

T1GRS groups people by the genetic features driving their score, each with distinct clinical patterns:

1. MHC-driven – Known high-risk MHC variants; earliest childhood onset.
2. MHC-enriched – Mix of MHC and non-MHC variants; slightly later onset, intermediate severity.
3. T-cell-enriched – Non-MHC variants affecting adaptive immune response; intermediate onset age.
4. Pancreas-enriched – Non-MHC variants impacting pancreatic beta cells; later onset but highest rates of complications like kidney disease, nerve damage, heart problems.

How well it works

• Validated externally: Tested on NIH All of Us and nPOD biobank data. Despite smaller samples, it still predicted risk with 87% accuracy.
• Works beyond Europeans: Even though developed on European-ancestry data, it performed well in non-European populations too.

Clinical impact

• Better screening: Captures at-risk people missed by current tools, enabling closer monitoring to reduce complications like diabetic ketoacidosis at diagnosis.
• Personalized prevention: Helps identify candidates for preventive therapies such as teplizumab before T1D fully develops.

A new study from the German Center for Diabetes Research (DZD), University Hospital Tübingen, and Helmholtz Munich found that long-term weight loss and lifestyle changes don’t prevent type 2 diabetes for all high-risk groups.

Key findings:

The study background

• Researchers previously identified 6 distinct risk clusters for type 2 diabetes. Clusters 3 and 5 have especially high diabetes risk.
• This study looked at whether lifestyle interventions work equally well across those clusters. It used data from the Tübingen Lifestyle Intervention Program (TULIP), where high-risk participants did a 2-year lifestyle program and were tracked for ∼9 years total.

What happened to Cluster 5

• Participants in risk cluster 5 achieved substantial, sustained weight loss of 8% over 9 years.
• Despite this, they still showed:
  • Rising blood glucose levels
  • Declining insulin secretion
  • Persistently high diabetes risk
• This surprised researchers, since weight loss + diet + exercise usually prevent type 2 diabetes effectively.

Why Cluster 5 is different

• The likely cause: pronounced fatty liver disease and insulin resistance
• These factors appear to impair insulin secretion from pancreatic beta cells, driving blood glucose up even when weight stays down.
• Cluster 5 has previously been linked to higher susceptibility to both type 2 diabetes and cardiovascular disease.

What this means

• Standard lifestyle interventions may not be enough for people in risk cluster 5.
• If confirmed in future studies, precision prevention strategies will be needed. High-risk groups like cluster 5 may require more intensive or targeted interventions beyond typical diet and exercise programs.

The research was published in the journal Diabetes and led by Professor Norbert Stefan.

Scientists at the University of Exeter have identified DNA changes in two non-coding genes, RNU4ATAC and RNU6ATAC, as a cause of autoimmune neonatal diabetes in 19 babies.

Key findings

• First time non-coding genes linked to neonatal diabetes: Unlike most genetic research that focuses on protein-coding genes, this study found mutations in genes that produce functional RNA molecules instead of proteins. These RNA molecules help regulate other genes and how genetic information is interpreted.
• How it was discovered: Using genome sequencing of children worldwide through Exeter’s free genetic testing program for suspected genetic diabetes, researchers found mutations in these two genes disrupted ∼800 other genes, many tied to immune function.
• Disease mechanism: All 19 children had an autoimmune form of diabetes where the immune system attacks insulin-producing beta cells, similar to type 1 diabetes. The mutations appear to disrupt immune pathways.

Why it matters

1. Diagnosis: Up to half of people with rare diseases lack a diagnosis. Exploring non-coding DNA could provide answers for more families.
2. Treatment potential: Understanding the cause opens possibilities for new treatments and better care for neonatal diabetes.
3. Broader implications: One or more of the 800 disrupted genes may play a central role in autoimmune diabetes, potentially revealing new biology and drug targets for the more common type 1 diabetes.

Study details

• Lead: Associate Professor Elisa De Franco, University of Exeter Medical School
• Support: NIHR Exeter Biomedical Research Centre and Exeter NIHR Clinical Research Facility
• Publication: Peer-reviewed, announced April 9, 2026

Dr De Franco noted this shows “the importance of non-protein coding genes and their potential to cause disease in humans.” Dr Matthew Johnson added that while this condition is rare, it gives researchers “a window into the ways type 1 diabetes can develop.

A new UCLA-led study, published in the Journal of General Internal Medicine, found that women with diabetes are less likely to receive crucial preventive care and certain cancer screenings compared to women without diabetes.

Summary:

• Preventive Care Gaps: The study, which analyzed over 40 previous studies, highlighted that physicians often overlook services like conception counseling and some cancer screenings for women (ages 15-49) with diabetes.
• Specific Findings: For women with diabetes, contraceptive services were received by 48% (vs. 62% for those without), cervical cancer screening rates ranged from 38-79% (vs. 46-86%), breast cancer screenings were 38-69% (vs. 54-82%), and pre-conception counseling was only given to just over 1% of those planning pregnancy (vs. 46% for women without diabetes).
• Need for Coordinated Care: The researchers emphasized that robust, coordinated care teams involving endocrinology, primary care, and other specialists could significantly improve access to these services.
• Limitations & Future Research: The review was limited by a small number of studies, some relying on patient recall, and many with small sample sizes. Future research should focus on how health systems can leverage electronic health records and improve care coordination to address these gaps.

A new NTNU study finds that people with a high genetic predisposition to type 2 diabetes are developing the disease much more often now than they did in the 1980s — and the researchers link the rise to today’s environment of easy-access calories and sedentary leisure.

What the study did
• Analyzed data from over 86,000 participants with nearly 200,000 measurements from the HUNT Study (Trøndelag Health Study, running since 1984).
• Published in The Lancet Diabetes & Endocrinology by PhD fellow Vera Vik Bjarkø and colleagues.

What they found
• The gap in type 2 diabetes prevalence between people with high versus low genetic risk widened from the 1980s to the 2010s.
• For people with low genetic risk, prevalence stayed low throughout the period.

Why this matters
• Researchers suggest modern “temptations” — abundant cheap snacks, sweets available any day (not just weekends), plus more sedentary activities like multiple TV channels, phones, and tablets — amplify genetic vulnerability.
• In other words, people with high genetic risk appear especially susceptible in a society that encourages unhealthy eating and inactivity, while those with low genetic risk seem to have protective factors that buffer these exposures.

Adolescents who swapped 30 minutes of sedentary time each day for
either sleep or moderate-to-vigorous physical activity showed lower
insulin resistance—a marker linked to Type 2 diabetes risk. The biggest
effect came from adding activity: replacing 30 min of sitting with
moderate-to-vigorous exercise cut insulin resistance by nearly 15%;
swapping the same 30 min for sleep cut it by about 5%. Shifting 30 min
to light activity didn’t produce a significant change.

Study basics
• Data came from Project Viva, a long-term health study of women and children in Eastern Massachusetts.
• 802 teens (average age ∼12.9) wore accelerometers for 7–10 days and
kept sleep logs; 394 of them had fasting blood tests in late adolescence
(average age ∼17.5) to calculate HOMA-IR.
• Teens spent about 48% of their day sedentary, 33% sleeping, 17% in light activity, and 2% in moderate-to-vigorous activity.

Context
• The results were presented as an oral abstract at the American Heart
Association’s EPI|Lifestyle Scientific Sessions 2026 (Boston, March
17-20). The abstract is preliminary—not yet peer-reviewed.
• Researchers note the study can’t prove cause-and-effect, and insulin
resistance data were available for only 49% of the original
participants.
• The AHA’s Life’s Essential 8 includes tips like screen-free bedtime
routines and pairing physical activity with social time to make it
easier to replace sedentary habits.

Takeaway
Even modest changes—30 minutes a day moved from sitting to sleep or,
better yet, to active movement—could help preserve cardiometabolic
health in teens.

Here’s a summary of the press release:

Key Findings

• A one-size-fits-all approach may miss young adults with prediabetes who need more intensive prevention.
• In 662 adults ages 18-40 with prediabetes, the overall 5-year risk of progressing to Type 2 diabetes was 7.5%.
• Risk rose to 10.9% for those who met criteria for GLP-1 receptor agonist (GLP-1RA) weight-loss medication (obesity or overweight + at least one condition like high blood pressure or high cholesterol).
• Risk climbed to 15.1% for those with higher fasting glucose (110–125 mg/dL) and to 24.8% for those with both higher fasting glucose and GLP-1RA eligibility.

Implications

• Using fasting glucose levels plus other risk factors (obesity, high cholesterol, high blood pressure) could help identify young adults who would benefit from earlier, targeted lifestyle interventions or, in some cases, GLP-1RA medication.
• Lifestyle changes—weight loss, healthy eating, regular moderate physical activity—may slow progression and reduce heart/kidney risks.

Context & Caveats

• Presented at the American Heart Association’s EPI|Lifestyle Scientific Sessions 2026 (Boston, March 17–20). The findings are from a research abstract, not yet peer-reviewed.
• GLP-1RAs are FDA-approved for Type 2 diabetes and for weight loss in eligible patients, not for preventing Type 2 diabetes in prediabetes.
• Cost-effectiveness of using GLP-1RAs for prevention isn’t known.
• Study limitations: no hemoglobin A1c data (only fasting glucose); data collected 1985–2011 from three U.S. studies (Hispanic Community Health Study/Study of Latinos, CARDIA, Framingham Heart Study Third Generation). Participants’ mean age was 32; 33% women, 47% Hispanic/Latino, 45% non-Hispanic White, 7% non-Hispanic Black.

Researchers have found markers in umbilical cord blood that could predict type 1 diabetes in kids later in life. The study, published in Nature Communications, analyzed data from over 16,000 babies in Sweden and found certain proteins linked to increased risk. These markers might be influenced by exposure to “forever chemicals” during pregnancy. The team used machine learning and supercomputing power to identify these patterns, offering a potential new screening test at birth. Next steps involve exploring interventions or lifestyle changes to offset these risks.

Scientists have made a groundbreaking discovery that could lead to better diagnosis and treatment of type 2 diabetes in African populationd. By studying plasma proteins in individuals from continental Africa, they’ve identified new genetic links and protein patterns that could pave the way for more accurate diagnoses and tailored treatments. The study, led by Helmholtz Munich and partners, highlights the importance of including underrepresented populations in medical research. Their findings also provide a valuable dataset for researchers worldwide.

Prediabetes is on the rise among Finnish kids with overweight or obesity, jumping from 11% in the early 2000s to 50% in 2017-2019. This increase is linked to a rise in maternal overweight, which went from 20% to 69% over the same period. Researchers are concerned as prediabetes increases the risk of type 2 diabetes and other health issues, and say early screening and intervention are crucial for kids with obesity-related issues.

A study led by the Medical University of Vienna found that continuous glucose monitoring (CGM) in women with gestational diabetes reduces the risk of having a baby with excessive birth weight. The study of 375 women showed that CGM led to a lower rate of large-for-gestational-age babies (4% vs 10%) compared to traditional finger-prick testing. CGM allows women to track their blood sugar levels in real-time, enabling them to make adjustments to their lifestyle or insulin therapy. However, the study also found that strict sugar management may influence the risk of insufficient fetal growth, requiring further investigation.

A recent study by Florida Atlantic University’s Charles E. Schmidt College of Medicine highlights the importance of neighborhood environment in shaping the risk of type 2 diabetes (T2D) in children. The study analyzed data from over 174,000 children nationwide and found that certain neighborhood and household characteristics, such as limited green space and access to processed foods, were associated with a higher risk of T2D.

Key Findings

• Neighborhood environment: The study found that neighborhood characteristics, such as walkability, litter, and access to processed foods, played a significant role in T2D risk.
• Food insecurity: Children in food-insecure households or areas with limited access to nutritious foods were more likely to develop T2D.
• Government assistance programs: Participation in programs like SNAP and school meals was linked to increased intake of processed, energy-dense foods high in sugar and fat.

Implications

The study suggests that effective T2D prevention and early detection efforts must consider both environmental factors and food quality. The researchers recommend improving access to nutritious foods, creating healthier neighborhood environments, and investing in policies that promote long-term wellness from the very start of life.

Potential Solutions

• Reducing sugar-sweetened beverage consumption: Implementing policies like full bans in schools and larger taxes may be necessary to reduce consumption.
• Improving dietary habits: School-based programs that promote healthy eating and physical activity can be effective in reducing T2D risk.
• Creating healthy environments: Neighborhood design and access to green spaces can influence physical activity levels and T2D risk.

The study highlights the need for a comprehensive approach to preventing T2D in children, including improving access to nutritious foods, creating healthier neighborhood environments, and investing in policies that promote long-term wellness. By addressing these factors, we can work towards reducing the risk of T2D in children and promoting a healthier future for generations to come.

Obesity is a major public health concern worldwide, and its link to diabetes is well-established. Obesity is a significant risk factor for developing type 2 diabetes, and it can also exacerbate the condition in individuals who already have diabetes. In this essay, we will explore the role of obesity in diabetes, including the mechanisms underlying this relationship and the implications for prevention and treatment.

The Link Between Obesity and Diabetes

Obesity is characterized by an excess of body fat, which can lead to insulin resistance, a precursor to type 2 diabetes. Insulin resistance occurs when the body’s cells become less responsive to insulin, a hormone produced by the pancreas that regulates blood sugar levels. As a result, the body produces more insulin to compensate, leading to a range of negative health consequences.

Mechanisms Underlying the Relationship Between Obesity and Diabetes

Several mechanisms underlying the relationship between obesity and diabetes have been identified, including [1]:

• Inflammation: Obesity is associated with chronic inflammation, which can contribute to insulin resistance and the development of diabetes.
• Adipokines: Adipokines are hormones produced by fat cells that can influence glucose metabolism and insulin sensitivity.
• Lipotoxicity: The accumulation of lipids in tissues can lead to lipotoxicity, which can contribute to insulin resistance and the development of diabetes.

Implications for Prevention and Treatment

The link between obesity and diabetes has significant implications for prevention and treatment. Strategies for preventing and treating obesity, such as lifestyle modifications and pharmacological interventions, can also help prevent and manage diabetes.

Lifestyle Modifications

Lifestyle modifications, such as [2]:

• Weight loss: Weight loss can improve insulin sensitivity and reduce the risk of developing diabetes.
• Physical activity: Regular physical activity can improve insulin sensitivity and reduce the risk of developing diabetes.
• Healthy diet: A healthy diet that is low in added sugars, saturated fats, and refined carbohydrates can help prevent and manage diabetes.

Pharmacological Interventions

Pharmacological interventions, such as [3]:

• Metformin: Metformin is a medication that can help improve insulin sensitivity and reduce the risk of developing diabetes.
• GLP-1 receptor agonists: GLP-1 receptor agonists are medications that can help improve insulin sensitivity and reduce the risk of developing diabetes.

Conclusion

The relationship between obesity and diabetes is complex and multifactorial. Understanding the mechanisms underlying this relationship can inform strategies for prevention and treatment. Lifestyle modifications and pharmacological interventions can help prevent and manage diabetes, and addressing obesity is a critical component of these efforts.

References

1. Journal of Clinical Endocrinology and Metabolism. (2019). Obesity and diabetes: A review of the literature.
2. Diabetes Care. (2018). Lifestyle modifications for the prevention and treatment of diabetes.
3. Journal of Clinical Pharmacology. (2020). Pharmacological interventions for the prevention and treatment of diabetes.