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1.
Public Health Nutr ; 24(9): 2592-2602, 2021 06.
Article in English | MEDLINE | ID: mdl-32611463

ABSTRACT

OBJECTIVE: To estimate the total energy and micronutrient intakes of children 9-24 months of age and evaluate the probability of adequacy (PA) of the diet in seven MAL-ED sites. DESIGN: Cohort study. Food intake was registered monthly using 24-h recalls beginning at 9 months. We estimated PA for thirteen nutrients and overall mean PA (MPA) by site and 3-month periods considering estimated breast milk intake. SETTING: Seven sites in Asia, Africa and Latin America. PARTICIPANTS: 1669 children followed from birth to 24 months of age. RESULTS: Median estimated %energy from breast milk ranged from 4 to 70 % at 9-12 months, and declined to 0-39 % at 21-24 months. Iron bioavailability was low for all sites, but many diets were of moderate bioavailability for zinc. PA was optimal for most nutrients in Brazil and South Africa, except for iron and vitamin E (both), calcium and zinc (South Africa). PA for zinc increased only for children consuming a diet with moderate bioavailability. MPA increased 12-24 months as the quantity of complementary foods increased; however, PA for vitamin A remained low in Bangladesh and Tanzania. PA for vitamins D and E and iron was low for most sites and age groups. CONCLUSIONS: MPA increased from 12 to 24 months as children consumed higher quantities of food, while nutrient density remained constant for most nutrients. Ways to increase the consumption of foods containing vitamins D, E and A, and calcium are needed, as are ways to increase the bioavailability of iron and zinc.


Subject(s)
Diet , Micronutrients , Child , Cohort Studies , Eating , Female , Humans , Infant , Nutrients , Probability , South Africa
2.
Epidemiol Infect ; 146(6): 688-697, 2018 04.
Article in English | MEDLINE | ID: mdl-29534766

ABSTRACT

Improving understanding of the pathogen-specific seasonality of enteric infections is critical to informing policy on the timing of preventive measures and to forecast trends in the burden of diarrhoeal disease. Data obtained from active surveillance of cohorts can capture the underlying infection status as transmission occurs in the community. The purpose of this study was to characterise rotavirus seasonality in eight different locations while adjusting for age, calendar time and within-subject clustering of episodes by applying an adapted Serfling model approach to data from a multi-site cohort study. In the Bangladesh and Peru sites, within-subject clustering was high, with more than half of infants who experienced one rotavirus infection going on to experience a second and more than 20% experiencing a third. In the five sites that are in countries that had not introduced the rotavirus vaccine, the model predicted a primary peak in prevalence during the dry season and, in three of these, a secondary peak during the rainy season. The patterns predicted by this approach are broadly congruent with several emerging hypotheses about rotavirus transmission and are consistent for both symptomatic and asymptomatic rotavirus episodes. These findings have practical implications for programme design, but caution should be exercised in deriving inferences about the underlying pathways driving these trends, particularly when extending the approach to other pathogens.


Subject(s)
Cluster Analysis , Disease Transmission, Infectious , Rotavirus Infections/epidemiology , Seasons , Africa/epidemiology , Asia/epidemiology , Child, Preschool , Cohort Studies , Humans , Infant , Infant, Newborn , Prevalence , Rotavirus Infections/transmission , South America/epidemiology
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