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Obesity, Physical Activity, Diet · Journal article
Frontiers in Endocrinology · September 9, 2026
Encouraging direction, but not yet definitive.
This cross-sectional study of 15,910 Chinese children shows that low birth weight combined with current overweight/obesity carries the highest risk of cardiometabolic risk factor clustering (OR 6.11), but the effect is driven primarily by current weight status rather than synergistic interaction. Birth weight retains an independent association with metabolic risk after BMI adjustment through distinct pathophysiological pathways, suggesting prevention of excessive weight gain in low birth weight children may reduce cardiometabolic burden.
Multistage cross-sectional survey. 15,910 children and adolescents aged 6 to 18 years from a multistage cross-sectional survey; no specific exclusion criteria stated.. Intervention: Birth weight category and current weight status (six combined exposure groups).. Compared with: Normal birth weight/non-overweight group (reference).. n = 15,910. China (location of multistage cross-sectional survey not further specified)..
6.30% of 15,910 participants had CMRF clustering (≥2 of: elevated BP, impaired fasting glucose, elevated triglycerides, low HDL) Low birth weight/overweight-obese group had OR 6.11 (95% CI 3.32–10.53, p<0.001) vs normal birth weight/non-overweight group No statistically significant additive interaction: RERI 1.57 (p=0.193), AP 0.26 (p=0.127), SI 1.44 (p=0.158)
CMRF clustering is a surrogate endpoint; no data on hard clinical outcomes (cardiovascular events, mortality)
Clinicians should recognize that low birth weight children who become overweight or obese face substantially elevated cardiometabolic risk; however, aggressive weight management (rather than birth weight alone) is the primary modifiable target. The independent association of birth weight with risk after BMI adjustment suggests metabolic programming effects warrant long-term monitoring even in normal-weight low birth weight individuals.
A well-designed cross-sectional study in a large, representative sample of children identifying a clinically relevant combined risk pattern, but without prospective design or hard clinical outcomes to support practice change.
As stated by the source record.
Quoted from the source exactly as published.
Clinicians should recognize that low birth weight children who become overweight or obese face substantially elevated cardiometabolic risk; however, aggressive weight management (rather than birth weight alone) is the primary modifiable target. The independent association of birth weight with risk after BMI adjustment suggests metabolic programming effects warrant long-term monitoring even in normal-weight low birth weight individuals.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Introduction While early growth and current weight individually affect cardiometabolic health, their combined effects are poorly understood. This study examines the integrated impact of birth weight and current weight status on the clustering of cardiometabolic risk factors (CMRFs) in children and adolescents. Methods This study analyzed data from 15,910 children and adolescents aged 6 to 18 years from a multistage cross-sectional survey. Participants were categorized into six combined exposure groups based on birth weight (normal/low/high) and current weight status (non-overweight/overweight/obese). Multivariable logistic regression models assessed the associations of these categories with CMRF clustering (defined as the presence of 2 or more of the following: elevated blood pressure, impaired fasting glucose, elevated triglycerides, and low high-density lipoprotein cholesterol). Additive interaction was evaluated using the relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI). Statistical mediation analysis decomposed the association of birth weight with CMRF clustering into indirect (current BMI) and direct pathways. Results Of 15,910 participants, 6.30% had CMRF clustering. In fully adjusted models, compared with the normal birth weight/non-overweight group, the low birth weight/overweight-obese group had the highest odds of CMRF clustering (OR = 6.11, 95% CI: 3.32 to 10.53, P < 0.001). No statistically significant additive interaction was observed between low birth weight and current overweight/obesity (RERI = 1.57, P = 0.193; AP = 0.26, P = 0.127; SI = 1.44, P = 0.158). Mediation analysis revealed a competitive mediation pattern: birth weight had a significant positive indirect effect on CMRF clustering through current BMI ( β = 0.0091, P < 0.001) and a significant negative direct effect ( β = −0.0144, P = 0.002), while the total effect was not statistically significant ( β = −0.0052, P = 0.326). Conclusion Although the combination of LBW and current overweight/obesity conferred the greatest risk for CMRF clustering, this was driven primarily by current weight status rather than a synergistic effect. However, LBW remained independently associated with metabolic risk after BMI adjustment, indicating distinct pathophysiological pathways. Thus, preventing excessive weight gain in low birth weight children is critical for reducing cardiometabolic risk.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.