Following the report on clusters of anophthalmia and microphthalmia in England and Wales and their possible relation to the pesticide Benomyl, we analyzed the situation in Italy for the period 1986 to 1990 using data from the Italian registries of congenital malformations and national data on Benomyl use. Of 940,615 consecutive births, 33 cases of clinical anophthalmia and 78 cases of microphthalmia were reported (birth prevalence: 0.35 and 0.83/10,000). Birth prevalence by region for 18 of Italy's 20 political regions was evaluated for the two malformations, grouped together after exclusion of defects associated with chromosomal anomalies, no dishomogeneity in space or time among registries or among regions was observed for the study period. In no region was a statistically significant difference identified between observed and expected overall birth prevalence. Correlation analysis between the prevalence of micro/anophthalmia and Benomyl use by region showed a negative, nonsignificant coefficient, and an inverse correlation was found when the 18 regions were divided into four groups by increasing levels of Benomyl use. Parental occupation in agriculture did not seem to be associated with micro/anophthalmia when compared to a control group affected with isolated prearicular tags (odds ratio 0.63; CL 0.07-2.52). On the basis of these results, though the limits intrinsic to ecologic correlation studies must be taken into account, an association between Benomyl use and congenital micro/anophthalmia appears to be unlikely.
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http://dx.doi.org/10.1016/0890-6238(94)90079-5 | DOI Listing |
Int J Equity Health
January 2025
Center for Health Systems Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
Objective: To analyze the temporal and territorial relationship between health system financing fragmentation and maternal mortality in the last two decades in Mexico.
Methods: We conducted an ecological-longitudinal study of the maternal mortality ratio (MMR) in the 32 states of Mexico during the period 2000-2022. Annual MMRs were estimated at the national and state levels according to health insurance.
BMC Public Health
January 2025
Department of Statistics and Data Science, Jahangirnagar University, Dhaka, 1342, Bangladesh.
Background: Child mortality is a reliable and significant indicator of a nation's health. Although the child mortality rate in Bangladesh is declining over time, it still needs to drop even more in order to meet the Sustainable Development Goals (SDGs). Machine Learning models are one of the best tools for making more accurate and efficient forecasts and gaining in-depth knowledge.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
Sci Rep
January 2025
College of Veterinary Medicine and Agriculture, Addis Ababa University, P. O. Box 34, Bishoftu, Ethiopia.
Brucellosis is a bacterial disease of many domestic and wild animals with great economic and public health importance. Although it has a major constraint in dairy production, comprehensive information regarding the epidemiology of brucellosis in dairy herds is limited. Besides, evaluating the dairy farmers' knowledge, attitude, and practice (KAP) regarding brucellosis is crucial for generating information that can enhance control programs and public health interventions.
View Article and Find Full Text PDFArch Dis Child
January 2025
Pediatrics, Erasmus MC, Rotterdam, Netherlands
Objective: Impaired fetal and infant growth may cause alterations in developmental programming of the hypothalamic-pituitary-gonadal axis and subsequently pubertal development. We aimed to assess associations between fetal and infant growth and pubertal development.
Design: Population-based prospective birth cohort.
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