Role of Maternal Diet in the Risk of Childhood Acute Leukemia: A Systematic Review and Meta-Analysis.
Jessica BlancoIsabel IguacelSilvia PisanuClaudia Choma Bettega AlmeidaEva Steliarova-FoucherCiska SierensMarc J GunterElena J LadasRonald D BarrKoen Van HerckInge HuybrechtsPublished in: International journal of environmental research and public health (2023)
Many studies have investigated the etiology of acute leukemia, one of the most common types of cancer in children; however, there is a lack of clarity regarding preventable risk factors. This systematic review and meta-analysis aimed to summarize the current evidence regarding the role of maternal dietary factors in the development of childhood leukemia. All epidemiological studies published until July 2022 that evaluated maternal dietary risk factors for childhood acute leukemia were identified in two electronic databases (PubMed and Web of Science) without limits of publication year or language. A total of 38 studies (1 prospective cohort study, 34 case-control studies and 3 studies with pooled analysis) were included. The published risk estimates were combined into a meta-analysis, using the Generic Inverse Variance method. The maternal consumption of fruits (two or more daily servings vs. less) was inversely associated with acute lymphoblastic leukemia (odds ratio = 0.71; 95% CI, 0.59-0.86), whereas maternal coffee intake (higher than two cups per day vs. no consumption) was associated with an increased risk of acute lymphoblastic leukemia (odds ratio = 1.45; 95% CI, 1.12-1.89). Despite these findings, more high-quality research from cohort studies and the identification of causal factors are needed to develop evidence-based and cost-effective prevention strategies applicable at the population level. Review Registration: PROSPERO registration no. CRD42019128937.
Keyphrases
- case control
- acute lymphoblastic leukemia
- birth weight
- pregnancy outcomes
- risk factors
- physical activity
- allogeneic hematopoietic stem cell transplantation
- emergency department
- public health
- childhood cancer
- squamous cell carcinoma
- autism spectrum disorder
- young adults
- body mass index
- systematic review
- pregnant women
- bone marrow
- papillary thyroid
- randomized controlled trial
- deep learning
- gestational age
- mass spectrometry
- big data
- lymph node metastasis
- artificial intelligence