Trends in Anthropometric Measurements of Internationally Adopted Children.

OBJECTIVE: The objective of this study was to describe anthropometric measures from internationally adopted children. Internationally adopted children are at risk for poor growth and development and there is no standardized growth chart evaluation for internationally adopted children due to variations in growth, genetics, and environmental exposures. METHODS: This is a retrospective chart review of 882 patients seen in an international adoption clinic between 2010 and 2017. Anthropometric measurements were converted to Z scores for weight, height, head circumference, and body mass index. RESULTS: A total of 41 countries and 16 subregions were represented. Central America, northern Africa, southern Africa, and southern Europe were the only subregions that had positive mean Z scores for weight, and southeast Asia had the lowest mean Z score for weight (n = 40, -1.76). No subregion had a positive mean Z score for height, and western Asia had the lowest overall mean Z score for height (n = 2, -2.44). Mean Z score for body mass index was positive in several subregions. CONCLUSIONS: Growth is an important predictor of health and development, and this study adds to the literature on growth patterns of internationally adopted children.

Clinical guideline highlights for the hospitalist: Evaluation, management, and prevention of cow's milk allergy.

GUIDELINE TITLE: An ESPGHAN position paper on the diagnosis, management and prevention of cow's milk allergy RELEASE DATE: Journal of Pediatric Gastroenterology and Nutrition, July 26, 2023 PRIOR VERSION: 2012 DEVELOPER: ESPGHAN (European Society of Paediatric Gastroenterology, Hepatology and Nutrition), NASPGHAN (North American Society of Pediatric Gastroenterology, Hepatology and Nutrition) FUNDING SOURCE: ESPGHAN TARGET POPULATION: Infants and young children with suspected cow's milk allergy.

Characteristics of logs with signs of oviposition by the polyphagous xylophage Asian longhorned beetle (Coleoptera: Cerambycidae).

During the eradication program undertaken against Anoplophora glabripennis (Motschulsky) in the Greater Toronto Area, information was collected on the numerous signs of injury found on wounded trees. Herein, we used a portion of this information to assess the characteristics of logs with signs of oviposition (i.e., pits). Specifically, we related the basal diameter, type (log bole vs. log branch), height above ground, and branch hierarchy level of logs with pits to tree size (i.e., height and diameter at breast height) and level of infestation intensity. In general, pits were concentrated on logs from the bole and branches that were 8-14 cm in diameter in the lower 8 m of the bole and in the first 2 levels of the branching hierarchy. Oviposition pit location was strongly influenced by tree size-both height and diameter at breast height, with more pits on the lower bole in small trees and then higher on the bole and into the branches as tree size increased. As tree-level infestation intensity increased, pits were found on both larger and smaller diameter portions of the trees, presumably as preferred oviposition sites became saturated. These findings can improve the efficacy of surveillance activities for A. glabripennis.

Disparities and Biases in Food Insecurity Screening Among Admitted Children.

BACKGROUND AND OBJECTIVES: Food insecurity (FI) has increasingly become a focus for hospitalized patients. The best methods for screening practices, particularly in hospitalized children, are unknown. The purpose of the study was to evaluate results of an electronic medical record (EMR) embedded, brief screening tool for FI among inpatients. METHODS: This was a cross-sectional study from August 2020 to September 2022 for all children admitted to a quaternary children's hospital. Primary outcomes were proportion of those screened for FI and those identified to have a positive screen. FI was evaluated by The Hunger Vital Sign, a validated 2-question screen verbally obtained in the nursing intake form in the EMR. Covariates include demographic variables of age, sex, race, ethnicity, primary language, and insurance. Statistical analyses including all univariate outcome and bivariate comparisons were performed with SAS 9.4. RESULTS: There were 31 553 patient encounters with 81.7% screened for FI. Patients had a median age of 6.3 years, were mostly male (54.2%), White (60.6%), non-Hispanic (92.7%), English-speaking (94.3%), and had government insurance (79.8%). Younger (0-2 years), non-White, and noninsured patients were all screened significantly less often for FI (all P < .001). A total of 3.4% were identified as having FI. Patients who were older, non-White, Hispanic, non-English speaking, and had nonprivate insurance had higher FI (all P < .001). CONCLUSIONS: Despite the use of an EMR screening tool intended to be universal, we found variation in how we screen for FI. At times, we missed those who would benefit the most from intervention, and thus it may be subject to implementation bias.