Maternal and child health

In children aged 5–10 years born to mothers with gestational diabetes mellitus, is participation in a structured lifestyle intervention (dietary counseling plus supervised physical activity) associated with lower cardiometabolic risk markers (BMI z-score, fasting glucose, HOMA-IR, lipid profile) compared to usual care, over a 12-month follow-up period?

The gap

While the retrieved literature consistently establishes that maternal gestational diabetes mellitus (GDM) increases the long-term risk of cardiometabolic diseases in offspring [1][2][3], it focuses primarily on pathogenesis and risk association rather than defining specific, evidence-based long-term treatment strategies for the children to mitigate these risks.

Study design

Single-centre, two-arm parallel-group randomised controlled trial

High-level approach

The primary outcome (change in HOMA-IR) and all secondary continuous cardiometabolic outcomes (BMI z-score, fasting glucose, lipid profile) are analysed via ANCOVA adjusting for baseline values and pre-specified covariates, with multiple imputation under a missing-at-random assumption. Effect modification is tested through ANCOVA interaction terms, and a per-protocol sensitivity analysis restricts to participants meeting an adherence threshold.

Methodology

Design justification

This randomised controlled trial directly tests the efficacy of a structured lifestyle intervention against usual care in a high-risk paediatric population, with randomisation minimising confounding of the intervention effect. ANCOVA-based analysis of change scores adjusts for baseline cardiometabolic status and key prognostic covariates, yielding an unbiased, precise estimate of the between-group treatment effect. The design is grounded in evidence that offspring of mothers with GDM exhibit elevated cardiometabolic risk markers [[1],[2],[4]] and that structured diet-and-activity interventions are a recognised therapeutic strategy in this population [[2],[3]].

Population

Children aged 5–10 years born to mothers with a documented history of GDM (diagnosed by IADPSG criteria during the index pregnancy), currently without a diagnosis of diabetes or established cardiovascular disease.

Setting

Single pediatric endocrinology or maternal-child health clinic affiliated with a tertiary hospital, leveraging existing GDM registries or obstetric records for identification of eligible offspring.

Sampling

Purposive sampling from the hospital's GDM registry to identify mothers with confirmed GDM in their most recent pregnancy 5–10 years ago, followed by simple random sampling of eligible offspring (1:1 allocation to intervention vs. usual care) after informed consent.

Sample-size approach

Power calculation for a two-arm parallel RCT with a continuous primary outcome (HOMA-IR). Assuming a mean HOMA-IR of 2.1 (SD 0.9) in the usual-care arm based on pediatric GDM-offspring literature, a clinically meaningful difference of 0.5 units, alpha = 0.05, power = 0.80, the required n per group is approximately 52 (two-sample t-test formula: n = 2 × [(z_α/2 + z_β) × σ / δ]² = 2 × [(1.96 + 0.84) × 0.9 / 0.5]² ≈ 51). Adjusting for 20% attrition over 12 months: n ≈ 65 per group, total N ≈ 130.

Variables

Independent variable: study arm (structured lifestyle intervention vs. usual care). Intervention arm receives monthly dietary counseling sessions (Mediterranean-style dietary pattern adapted for children) plus twice-weekly supervised 60-minute physical activity sessions for 12 months; usual-care arm receives standard pediatric well-child guidance and annual check-up. Primary outcome: change in HOMA-IR from baseline to 12 months. Secondary outcomes: change in BMI z-score, fasting glucose, fasting insulin, total cholesterol, LDL-C, HDL-C, triglycerides, waist circumference percentile. Covariates/confounders: child age, sex, pubertal status (Tanner stage), baseline BMI z-score, maternal pre-pregnancy BMI, maternal current BMI, maternal T2D status, breastfeeding duration, birth weight, socioeconomic status, physical activity level at baseline.

Data sources

Baseline and 12-month clinical assessments: anthropometric measurements (weight, height, waist circumference) by trained research nurses using standardized protocols; fasting venous blood samples analyzed for glucose (hexokinase method), insulin (electrochemiluminescence immunoassay), lipid panel (enzymatic colorimetric method) at the hospital laboratory; structured questionnaires for dietary intake (3-day food diary validated for pediatric use), physical activity (pedometer-measured steps over 7 days plus PAQ-C questionnaire), and sociodemographic data; maternal and perinatal data extracted from obstetric records (GDM diagnosis, treatment during pregnancy, pre-pregnancy BMI, birth weight, gestational age); intervention adherence tracked via attendance logs and pedometer data.

Time

18–24 months total: 3–4 months for ethics approval and participant recruitment, 12 months for intervention and follow-up, 3–4 months for data analysis and write-up.

Cost

Moderate. Major costs include laboratory assays (~$40/participant × 2 timepoints × 130 = ~$10,400), physical activity session instructors (~$5,000 for 12 months), dietary counseling materials (~$1,500), pedometers (~$1,300), research nurse time (~$8,000), and participant transport reimbursement (~$2,600). Estimated total: ~$29,000–35,000, feasible with a national research grant or institutional seed funding.

Ethics

Requires full IRB approval. Informed written consent from parents/guardians and age-appropriate assent from children aged 7–10. Key ethical considerations: (1) the intervention involves physical activity in children — must screen for contraindications via a pre-participation medical evaluation; (2) usual-care arm must not be denied standard pediatric care — they receive routine guidance and are offered the intervention materials after study completion; (3) any abnormal laboratory results (e.g., HbA1c suggestive of prediabetes/diabetes) trigger immediate referral to pediatric endocrinology per a pre-specified protocol; (4) data privacy for registry-based recruitment requires institutional data governance approval.

Grounding references

  1. Maternal Diabetes and Risk of Early-Onset Cardiovascular Diseases in Offspring. Mo X, Janszky I, Wang H, Yang F, Möller J, Liang Y · JAMA cardiology, 2026 · DOI 10.1001/jamacardio.2026.0915
  2. Gestational diabetes as an inter-generational cardiometabolic risk factor: spotlight on emerging exerkines. Senesi P, Luzi L, Sonaglioni A, Alberti F, Cipponeri E, Ferrulli A · Cardiovascular diabetology, 2026 · DOI 10.1186/s12933-026-03247-4
  3. Gestational diabetes: from pathogenesis to therapeutic intervention. Zhang X, Chi Y, Zhang Z, Wang Y, Yi F, Wang P · Diabetology & metabolic syndrome, 2026 · DOI 10.1186/s13098-026-02156-6
  4. Gestational Diabetes and Obesity: Immediate and Late Sequelae for Offspring. Kaza M, Paltoglou G, Rodolaki K, Kakleas K, Karanasios S, Karavanaki K · Children (Basel, Switzerland), 2025 · DOI 10.3390/children12091263
  5. Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications Joon Ho Moon, Hak Chul Jang · Diabetes & Metabolism Journal, 2022 · DOI 10.4093/dmj.2021.0335

Full protocol

Detailed design

Single-centre, two-arm parallel-group randomised controlled trial. Children aged 5–10 years born to mothers with documented gestational diabetes mellitus (GDM, diagnosed by IADPSG criteria during the index pregnancy) will be randomly allocated 1:1 to either a 12-month structured lifestyle intervention (dietary counselling plus supervised physical activity) or a usual-care comparator. The primary outcome is the mean…

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