Age and sex-based impacts of maternal iron deficiency on offspring's cognitive function and anemia: A systematic review.
Saudatu FarukKamaldeen Olalekan SanusiKasimu Ghandi IbrahimBilyaminu AbubakarIbrahim MalamiMuhammad Bashir BelloMurtala Bello AbubakarAbdullahi Yahya AbbasMustapha Umar ImamPublished in: European journal of clinical nutrition (2024)
Iron deficiency is a recognized global health concern, particularly impactful during pregnancy where the mother serves as the primary source of iron for the developing fetus. Adequate maternal iron levels are crucial for fetal growth and cognitive development. This review investigates the correlation between maternal iron deficiency and cognitive impairment and anemia in offspring, considering age and gender differentials. PubMed, ScienceDirect, and Google Scholar databases were queried using keywords "maternal," "iron," "gender/sex," and "cognition." The review included studies on human and animal subjects where maternal iron deficiency was the exposure and offspring cognitive function and anemia were outcomes. Out of 1139 articles screened, fourteen met inclusion criteria. Twelve studies highlighted cognitive deficits in offspring of iron-deficient mothers, with females generally exhibiting milder impairment compared to males. Additionally, two studies noted increased anemia prevalence in offspring of iron-deficient mothers, particularly affecting males and younger individuals. The findings suggest that male offspring are at higher risk of both anemia and cognitive dysfunction during youth, while females face increased risks in adulthood. Thus, maternal iron deficiency elevates the likelihood of anemia and cognitive impairments in offspring, underscoring the importance of addressing maternal iron status for optimal child health.
Keyphrases
- iron deficiency
- high fat diet
- birth weight
- pregnancy outcomes
- cognitive impairment
- endothelial cells
- public health
- type diabetes
- young adults
- adipose tissue
- gestational age
- depressive symptoms
- chronic kidney disease
- metabolic syndrome
- machine learning
- insulin resistance
- climate change
- multiple sclerosis
- weight gain
- big data
- deep learning
- risk assessment
- mild cognitive impairment
- artificial intelligence
- preterm birth
- skeletal muscle