Article Contents
| Clin Exp Pediatr > Volume 69(8); 2026 |
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Funding
This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Acknowledgments
The authors are grateful to the Hamad Medical Corporation, Doha, Qatar for providing the academic environment and institutional support that enabled the preparation of this review. The authors thank the librarians and information specialists at Hamad Medical Corporation Medical Library for assistance with database access.
| Country/registry | Study period | Pediatric obesity trend | Youth T2DM incidence (per 100,000/yr) | Relative T2DM change | NOS | Reference |
|---|---|---|---|---|---|---|
| USA (SEARCH for Diabetes in Youth) | 2002–2018 | 17.0%→>20.3% (national); highest in Black, Hispanic, American Indian youth | 3.8→6.8 (age 10–19 yr) | +79%; 4.8%/yr annual rise | 9/9 | [2,3,5,6,26] |
| USA – T2DM prevalence (SEARCH) | 2001–2017 | Sustained >17% throughout; racial disparities persist | 0.35→0.67 per 1,000 (pre-valence) | +91% prevalence | 9/9 | [3] |
| Canada (Manitoba Registry) | 2009–2018 | Rising; First Nations obesity >10×non-Indigenous rates | 16.0→~31.1 (First Nations ~10× higher) | +94% overall | 8/9 | [7,23] |
| England & Wales (NPDA) | 2009–2020 | Moderate increase; socioeconomic deprivation gradient | ~1.2→~2.6 (national audit estimate) | ~+117% | 7/9 | [14] |
| Israel (National Registry) | 2008–2019 | Rising; predominantly Arab minority youth affected | 0.63→3.41 | 441% | 8/9 | [14] |
| Australia (AIHW) | 2000–2022 | Rising; Indigenous youth prevalence–3×non-Indigenous | ~3.5→~8.2 (ages 10–19 yr) | ~+134% | 7/9 | [14,25] |
| New Zealand (National) | 2010–2022 | Rising; Māori and Pacific youth disproportionately affected | Significant upward trend (service-level data) | Significant | 7/9 | [14] |
| Japan (Tokyo school screening) | 1975–2015 | Rose then plateaued; correlates with fat intake increase | ~2.6 (school urine screening program) | Historical rise then plateau | 7/9 | [14] |
| Global estimate (Wu et al.) | 2021 estimate | ~8% obese (5–19 yr; NCD-RisC data) | ~41,600 new cases/yr globally | - | High (AMSTAR-2) | [1,12] |
| USA projections (Tönnies et al.) | 2017→2060 modeled | Minority youth: continued steep rise projected | T2DM cases to increase substantially by 2060 | Fourfold+ under rising incidence scenario | High (AMSTAR-2) | [13] |
| Country/study | Design (No. with T2DM) | % Overweight or obese at Dx | % Obese at Dx (95% CI) | Key demographic finding | Reference |
|---|---|---|---|---|---|
| Global meta-analysis (53 studies) | SR & meta-analysis (n=8,942) | ~82% | 75.3% (72.1%–78.5%) | Highest rates in North America and Oceania | [28] |
| USA – SEARCH cohort | Population-based multiethnic cohort (n=5,293) | ~85%–90% | ~88% | Black, Hispanic, American Indian youth: highest obesity rates | [2,16,22,27] |
| Canada – Manitoba registry | Population-based registry (n≈450) | ~92% | >90% | First Nations: near-universal obesity; non-Indigenous lower | [7,23] |
| New Zealand – national cohort | Multicenter cohort (n≈200) | ~86% | >80% | Māori and Pacific youth predominate | [14] |
| Australia – AIHW | National audit (n≈800) | ~81% | ~78% | Indigenous youth: highest rates and most severe obesity | [14,25] |
| Israel – national registry | Population registry (n≈300) | ~83% | >80% | Arab minority youth disproportionately affected | [14] |
| England & Wales – NPDA | National audit (n=747) | ~77% | >75% | South Asian and Black African communities most affected | [14] |
| Japan – School screening | School-based screening (n≈400) | ~70% | ~68% | Lower BMI threshold applied (Asian-specific cutoffs) | [14] |
| Brazil – ERICA study | Population-based cross-sectional (n varied) | ~75% | ~72% | Urban adolescents; socioeconomic gradient observed | [14] |
| Global (Wu et al. 2022) | SR/modeling (41,600 est. cases) | - | ~75%–80% (extrapolated) | Most new cases: China, India, USA | [12] |
T2DM, type 2 diabetes mellitus; Dx, diagnosis; CI, confidence interval; SR, systematic review; NPDA, National Paediatric Diabetes Audit; AIHW, Australian Institute of Health and Welfare; BMI, body mass index; ERICA, Study of Cardiovascular Risk in Adolescents.
BMI cutoffs: ≥95th percentile (USA/Canada/Australia); ≥97th percentile (Europe); ethnic-specific thresholds applied in Japan and some Asian populations.
| Mechanism | Key mediators | Effect on glucose homeostasis | Unique feature in youth | Clinical relevance | Reference |
|---|---|---|---|---|---|
| Peripheral insulin resistance | Ectopic lipid accumulation in skeletal muscle and liver; DAG/ceramide pathway activation; PKC | Reduced peripheral glucose disposal; hepatic glucose overproduction | Magnitude amplified by pubertal GH excess (Tanner 2–4) | Primary driver; correlates with BMI z-score and visceral adiposity | [14,15] |
| Adipose tissue inflammation | Macrophage infiltration; TNF-α, IL-6, resistin; adiponectin deficiency | Impairs IRS-1 serine phosphorylation; drives hepatic IR | Greater systemic inflammatory burden per unit BMI vs. adults | Worsened by central adiposity; partially reversed by weight loss | [14,15] |
| Pubertal insulin resistance | GH-mediated IR; IGF-1 axis dysregulation; estrogen and androgen effects | Physiological 30%–50% decline in insulin sensitivity (Tanner 2–4) | Unique developmental window with no adult equivalent | Creates critical vulnerability period coinciding with peak T2DM risk | [14] |
| Beta-cell dysfunction and exhaustion | Glucolipotoxicity; ER stress; oxidative damage; rapid beta-cell mass decline | Inadequate insulin secretion to compensate mounting IR | TODAY: 45.6% lost glycemic control by 3.9 yr— far faster than adults | Irreversible component; early pharmacological support is essential | [19] |
| Hepatic lipid accumulation (MASLD) | High fructose intake; de novo lipogenesis; FFA flux from adipose; VLDL overproduction | Hepatic IR; elevated hepatic glucose output; atherogenic dyslipidemia | Prevalent in ~50%–70% of obese youth with T2DM | Bidirectional with IR; responsive to weight loss and GLP-1 agonists | [14,15] |
| Epigenetic/intrauterine programming | Maternal obesity/GDM; prenatal nutrient excess; altered DNA methylation patterns | Amplified adipogenesis; reduced beta-cell mass and function in offspring | Intergenerational amplification of T2DM risk in obese families | Explains familial clustering; may account for ethnic differences in risk | [14,15] |
| Gut microbiome dysbiosis | ↓Bacteroidetes; ↑LPS-producing bacteria; ↓short-chain fatty acids; impaired GLP-1 secretion | Metabolic endotoxemia; systemic inflammation; impaired incretin axis | Diet-driven in obese adolescents; emerging therapeutic target | Modified by dietary intervention and weight loss | [15] |
T2DM, type 2 diabetes mellitus; DAG, diacylglycerol; PKC, protein kinase C; GH, growth hormone; BMI, body mass index; TNF-α, tumor necrosis factor-alpha; IL-6, interleukin-6; IR, insulin resistance; IRS-1, insulin receptor substrate-1; IGF-1, Insulin-like growth factor 1; ER, endoplasmic reticulum; MASLD, metabolic dysfunction-associated steatotic liver disease (formerly NAFLD); FFA, free fatty acids; GDM, gestational diabetes mellitus; GLP-1, glucagon-like peptide-1; LPS, lipopolysaccharide; VLDL, very-low-density lipoprotein.
| Intervention/trial | Population (No.) | Weight outcome | Glycemic outcome | Clinical relevance | Reference |
|---|---|---|---|---|---|
| TODAY RCT: Metformin alone | US youth T2DM (n=234) | Modest weight loss only | 51.7% lost glycemic control by 3.9 yr | DPP adults: 58% T2DM prevention with lifestyle—vastly superior to all TODAY arms | [19,27] |
| TODAY RCT: Metformin + rosiglitazone | US youth T2DM (n=233) | Similar to metformin arm | 38.6% lost glycemic control (best-performing arm in trial) | Even best TODAY arm inferior to adult lifestyle intervention outcomes | [19] |
| TODAY RCT: Metformin + intensive lifestyle | US youth T2DM (n=234) | No significant weight advantage vs control | 45.6% lost glycemic control—no added glycemic benefit vs metformin alone | DPP adults: 58% T2DM prevention; youth lifestyle offered zero advantage | [19,30] |
| DPP lifestyle intervention (adult reference) | US adults with IGT (n=3,234) | ~7% weight loss sustained | 58% T2DM prevention; benefit sustained ≥15 yr | Gold standard adult prevention data—far superior to youth TODAY outcomes | [30,31] |
| Liraglutide 3.0 mg/day (NN8022-4180 trial) | Adolescents 12–<18 yr with obesity (n=251) | BMI SDS: −0.22 vs. +0.21 placebo | Improved HbA1c and cardiometabolic parameters vs placebo | Adults: comparable BMI benefit; adherence more challenging in adolescents | [39] |
| Semaglutide 2.4 mg/wk (STEP TEENS phase 3 RCT) | Adolescents 12–<18 yr with obesity (n=201) | BMI: -16.1% vs. +0.6% placebo at 68 wk; 73% achieved ≥5% weight loss | Improved HbA1c, fasting glucose, TG, total cholesterol; FDA approved Dec 2022 | Adults STEP-1: -14.9% body weight; comparable magnitude in adolescents | [32] |
| Bariatric surgery (Teen-LABS prospective cohort) | US adolescents with severe obesity + T2DM (n=242) | ~28% total body weight loss at 3 yr | T2DM remission: 95% at 1 yr; 86% at 3 yr | SOS adults: 72% T2DM remission at 2 yr—adolescent rates exceed adult rates | [33,34] |
| Bariatric surgery longterm (SOS adult reference) | Swedish adults with obesity + T2DM (surgical arm n≈338) | ~23% body weight loss at 2 yr | 72% T2DM remission at 2 yr; ~50% relapse by 10 yr | Adult reference for adolescent Teen-LABS comparison | [34,40] |
| Lifestyle modification alone (multiple RCTs, youth) | Obese youth with T2DM or prediabetes (varied) | 5%–10% BMI reduction | Modest HbA1c improvement (-0.3% to -0.6%); rarely achieves T2DM remission | Adults DPP/LCD: similar modest effect alone; remission requires >10%–15% weight loss | [14,15,30] |
T2DM, type 2 diabetes mellitus; RCT, randomized controlled trial; DPP, Diabetes Prevention Program; IGT, impaired glucose tolerance; BMI, body mass index; BMI SDS, BMI standard deviation score; HbA1c, glycated hemoglobin; TG, triglycerides; FDA, U.S. Food and Drug Administration; SOS, Swedish Obese Subjects; LCD, low-calorie diet.