Objective: To evaluate the impact of erythropoiesis-stimulating agents (ESAs) administered during initial hospitalization and family demographic factors on behavior at 3.5-4 years of age.
Study Design: Children were enrolled who had previously participated in a randomized study of ESAs (n = 35) or placebo (n = 14) in infants born preterm with birth weights of 500-1250 g. A term healthy control group (n = 22) also was recruited. Behavior was evaluated by parent report with the Behavioral Assessment System of Children-2. Principal component analyses identified 2 demographic factors, a Socioeconomic Composite (SEC) and a Family Stress Composite. A multivariate general linear model evaluated the impact of study group and sex on the 4 composite scales of the Behavioral Assessment System of Children-2. Demographic factors were treated as covariates and interactions with study group (ESA, placebo, and term) were examined.
Results: The ESA group had significantly better scores than the placebo group on behavioral symptoms (P = .04) and externalizing scales (P = .04). An interaction was observed between study group and SEC (P = .001). A beneficial effect of ESAs was maximal in the children with lower SEC scores.
Conclusions: The beneficial effects of ESAs on childhood behavior were maximal in children with lower SEC scores. ESAs seemed to ameliorate the adverse impact of lower SEC on behavioral domains seen in the placebo group. This effect was independent of the beneficial effect of ESAs on global cognition we reported previously.
Trial Registration: ClinicalTrials.gov: NCT01207778 and NCT00334737.
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http://dx.doi.org/10.1016/j.jpeds.2017.01.020 | DOI Listing |
BMC Psychol
January 2025
Pattani Hospital, Mueang Pattani District, Pattani, Thailand.
Background: Schizophrenia is a multifactorial disorder influenced by various biological and psychosocial factors. This study aimed to determine the characteristics and associated factors of expressed emotion (EE) among caregivers of individuals with schizophrenia.
Methods: From May to July 2024, a cross-sectional study was conducted with caregivers of individuals with schizophrenia across multiple hospitals in Southern Thailand.
J Health Popul Nutr
January 2025
Department of General Education, Faculty of Sciences and Health Technology, Navamindradhiraj University, 3 Khao Rd. Vajirapayaban Dusit, Bangkok, 10300, Thailand.
Background: The Thai government's initial response to the novel coronavirus disease 2019 (COVID-19) led to confusion and food insecurity in quarantined low-income communities. Although free food programs were initiated, no official assessment of their impact exists. The objective of this study was to evaluate the effectiveness of these food programs by surveying the food requirements, food needs, and health behaviors of quarantined, densely populated communities in Bangkok.
View Article and Find Full Text PDFBMC Nutr
January 2025
Department of Epidemiology and Biostatistics, Tbilisi State Medical University, Tbilisi, Georgia.
Background: Childhood overweight and obesity are significant global public health challenges that affect approximately 340 million children worldwide. In Georgia, the prevalence of childhood obesity is alarming, with approximately 28% of 7-year-old children classified as overweight or obese in 2019. This study aimed to investigate the key factors associated with overweight and obesity among school-age children in Georgia.
View Article and Find Full Text PDFBMC Res Notes
January 2025
UQ Centre for Clinical Research, Faculty of Health Medicine and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.
Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.
Arch Public Health
January 2025
Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, 18 Daoshan Road, Fuzhou, 350001, China.
Background: Our understanding of the global burden distribution of inflammatory cardiomyopathy and myocarditis is very limited.
Objective: To comprehensively assess the global burden distribution and attributable risk factors of inflammatory cardiomyopathy and myocarditis from 1990 to 2019.
Methods: We extracted the data on death, disability-adjusted life years (DALY), and age-standardized rate (ASR) of inflammatory cardiomyopathy and myocarditis from the 2019 Global Burden of Disease (GBD) study, including the comprehensive data and the data classified by age/sex.
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