98%
921
2 minutes
20
In Bangladesh, anaemia is estimated to affect 52% of children 6-59 months, with the youngest children (6-23 months) experiencing the highest levels of anaemia (71%). Micronutrient powders (MNPs) are designed to increase micronutrient intake in young children; however, in some settings, the prevalence of anaemia may remain elevated despite the high coverage of MNPs. In a secondary analysis of the Zinc in Powders trial (ZiPT), we identified risk factors that were associated with anaemia among Bangladeshi children 9-11 months of age who received standard 15-component MNPs, including 10 mg of iron, daily for 24 weeks. At enrolment, socio-demographic characteristics were collected. Morbidity symptoms were assessed on a semi-weekly basis. Haemoglobin (measured via single-drop capillary blood using Hemocue 301+) and child anthropometry were assessed at enrolment and endline (24 weeks). Risk factors for anaemia at endline (24 weeks) were identified using minimally adjusted (age and sex) logistic regression models. Multivariate models were subsequently constructed, controlling for age, sex and significant risk factors. Of the 481 children randomized to the MNP arm, 442 completed the trial and had haemoglobin data available at endline. Anaemia (haemoglobin < 10.5 g/dL) prevalence declined from 54.1% at baseline to 32.6% at endline. In minimally adjusted models, season of enrolment, underweight at enrolment, asset score, hygiene score and frequent morbidity symptoms were associated with the odds of anaemia at endline. However, some factors lost statistical significance in multivariate models. MNPs are an important tool for anaemia prevention; however, they should be part of an integrated approach for anaemia control.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150132 | PMC |
http://dx.doi.org/10.1111/mcn.13806 | DOI Listing |
World J Pediatr Congenit Heart Surg
September 2025
Postgraduate Program in Health Sciences, Medical School, Federal University of Amazonas (UFAM), Manaus, Amazonas, Brazil.
To analyze in-hospital mortality in children undergoing congenital heart interventions in the only public referral center in Amazonas, North Brazil, between 2014 and 2022. This retrospective cohort study included 1041 patients undergoing cardiac interventions for congenital heart disease, of whom 135 died during hospitalization. Records were reviewed to obtain demographic, clinical, and surgical data.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Social and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Importance: Higher intellectual abilities have been associated with lower mortality risk in several longitudinal cohort studies. However, these studies did not fully account for early life contextual factors or test whether the beneficial associations between higher neurocognitive functioning and mortality extend to children exposed to early adversity.
Objective: To explore how the associations of child neurocognition with mortality changed according to the patterns of adversity children experienced.
Int J Surg
September 2025
Department of Gynecology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Background: Ovarian cancer remains the most lethal gynecological cancer, with fewer than 50% of patients surviving more than five years after diagnosis. This study aimed to analyze the global epidemiological trends of ovarian cancer from 1990 to 2021 and also project its prevalence to 2050, providing insights into these evolving patterns and helping health policymakers use healthcare resources more effectively.
Methods: This study comprehensively analyzes the original data related to ovarian cancer from the GBD 2021 database, employing a variety of methods including descriptive analysis, correlation analysis, age-period-cohort (APC) analysis, decomposition analysis, predictive analysis, frontier analysis, and health inequality analysis.