Macronutrient Supplements in Preterm and Small-for-Gestational-Age Animals: A Systematic Review and Meta-analysis.
Emma AmissahLuling LinGregory D GambleCaroline A CrowtherFrank Harry BloomfieldJane E HardingPublished in: Scientific reports (2019)
Early macronutrient supplementation in preterm and/or small-for-gestational-age (SGA) infants may improve growth but have detrimental effects on later cardio-metabolic health which may be sex-specific. We systematically reviewed the long-term effects of early macronutrient supplementation in preterm and SGA animals and whether these differ by sex. Using Cochrane Neonatal and SYRCLE methodologies we included random or quasi-random studies that allocated non-human mammals to macronutrient supplements or no supplements between birth and weaning and assessed post-weaning outcomes. We used random-effects models to calculate standardized mean differences (SMD) with 95% confidence intervals (CIs). Six studies provided low to very-low-quality evidence that macronutrient supplementation increased weight in juvenile rats (SMD; 95% CI: 2.13; 1.00, 3.25; 1 study, n = 24), increased leptin concentrations in older adults (1.31; 0.12, 2.51; 1 study, n = 14 male rats), but decreased leptin concentrations in young adults (-1.13; -2.21, -0.05; 1 study, n = 16 female rats) and improved spatial learning and memory (qualitative data; 1 study). There was no evidence of sex-specific effects and no overall effect on length, serum lipids, body composition, HOMA-IR, or blood pressure. Macronutrient supplements may affect later growth, metabolism, and neurodevelopment of preterm and SGA animals, but evidence is limited and low quality.
Keyphrases
- acute respiratory distress syndrome
- gestational age
- extracorporeal membrane oxygenation
- preterm birth
- body composition
- birth weight
- blood pressure
- young adults
- healthcare
- low birth weight
- pregnant women
- public health
- body mass index
- risk assessment
- metabolic syndrome
- hypertensive patients
- heart rate
- resistance training
- fatty acid
- blood glucose
- neural network
- data analysis