Aflatoxin M1 exposure and nutritional status of breastfeeding children 0-6 months in Makueni County, Kenya
Ogallo, I. O.; Kaindi, D. W. M.; Abong, G. O.; Mwangi, A. M.
Show abstract
Aflatoxin exposure in breastfeeding children has yet to be extensively explored in the southeastern region of Kenya, which is prone to aflatoxin outbreaks, and the assessment of potential risks may be underestimated. We determined the aflatoxin exposure of children 0-6 months and the outcome of weight-for-age z-scores as part of a larger cross-sectional study involving 170 randomly selected mother-child dyads. A semi-structured questionnaire was used to collect information on breastfeeding practices. Childrens weights were also measured. Breast milk samples of 48 lactating mothers and their childrens urine were collected from households whose food samples were collected for aflatoxin analysis. Aflatoxin levels were determined using enzyme-linked immunosorbent assays. The Statistical Package Software for Social Sciences (version 27) and Palisades @Risk software were used for analysis. Exclusively breastfeeding children were 44.1% (75/170). The prevalence of aflatoxin M1 in breast milk was 77.1% (37/48) (concentration 35 ng/l; SD, 0.0), and the mean intake was 0.47 mg/kg b.w.t/day. All urine (100%) had aflatoxin M1 (mean 0.39 ng/ml (SD, 0.16). The exposure levels through breast milk were alarmingly high (margin of exposure < 10000) regardless of breastfeeding status, with complementary feeding potentially increasing the risks. Mothers diets significantly contributed to aflatoxin M1 in breast milk and urine (p = 0.01). Socioeconomic status, household size, and age of lactating mothers were not significant predictors of aflatoxin M1 exposure (p > 0.05). Aflatoxin M1 exposure did not influence the weight-for-age z-scores (pall > 0.05). The results indicate high exposure levels among children 0-6 months, and breastfeeding practices could be one of the under-evaluated risk factors.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Longitudinal assessment of mycotoxin co-exposures in exclusively breastfed infants 94%
- Elucidating the combined toxicity of aflatoxin B1 and fumonisin B1 on HepG2 cells based on respirometry and transcriptome analyses 93%
- Exposure to per- and polyfluoroalkyl substances associates with altered lipid profile of breast milk 92%
Similar papers in this journal
- Breastfeeding education, early skin-to-skin contact, and other strong determinants of exclusive breastfeeding in an urban population: results from a prospective study 91%
- Protocol for the PATHOME Study: A Cohort Study on Urban Societal Development and the Ecology of Enteric Disease Transmission among Infants, Domestic Animals, and the Environment 91%
- Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data 91%
Similar papers in this journal
- Specific quorum sensing molecules are possibly associated with responses to herbicide toxicity in a Pseudomonas strain 93%
- Wastewater based surveillance system to detect SARS-CoV-2 genetic material for countries with on-site sanitation facilities: an experience from Bangladesh 92%
- Response of Wastewater-Based Epidemiology Predictor for the Second Wave of COVID-19 in Ahmedabad, India: A Long-term Data Perspective 92%
Similar papers in this journal
- Air pollution exposure, respiratory consequences, and perceptions among urban African children living in poor conditions – a case study in Abidjan, Côte d’Ivoire 93%
- Acceptability and associated factors of indoor residual spraying for Malaria control by households in Luangwa district of Zambia: A multilevel analysis 93%
- Prevalence and determinants of evidence of silicosis and impaired lung function, among small scale tanzanite miners and the peri-mining community in northern Tanzania 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.