The measurement of early mother-child relationship and interaction is a critical issue for infant mental health. The Nursing Child Assessment Teaching Scale (NCATS) has been regarded as one of the most effective assessment tools. A Japanese version (JNCATS) has been developed and its reliability was reported. The purpose of the present study was to show evidence for the validity of the JNCATS by utilizing micro analysis and sequential analysis of 53 mother-child interactions. Micro analysis is a second-by-second analysis of mother and child behavioral streams. Sequential analysis is a technique to detect mutual and contingent aspects of interaction. Variables obtained from these two methods were: a) probabilities of coding categories, and b) log odds ratios of contingency codes, whose correlations with JNCATS scores were examined. Some weak and medium correlations were found (p < .05). It was suggested that these two methods and the JNCATS could capture similar features of mother-child interaction, which provides evidence for the validity of the JNCATS.
Download full-text PDF |
Source |
---|
Eur J Med Res
January 2025
Department of Thoracic Medicine, Chang Gung Memorial Hospital, Linkou Branch, No. 5, Fu-Shing St., GuiShan, Taoyuan, Taiwan.
Background: This study compared the ventilatory variables and computed tomography (CT) features of patients with coronavirus disease 2019 (COVID-19) versus those of patients with pulmonary non-COVID-19-related acute respiratory distress syndrome (ARDS) during the early phase of ARDS.
Methods: This prospective, observational cohort study of ARDS patients in Taiwan was performed between February 2017 and June 2018 as well as between October 2020 and January 2024. Analysis was performed on clinical characteristics, including consecutive ventilatory variables during the first week after ARDS diagnosis.
BMC Med Inform Decis Mak
January 2025
Great Ormond Street Institute of Child Health, University College London, London, UK.
Introduction: Unsupervised feature learning methods inspired by natural language processing (NLP) models are capable of constructing patient-specific features from longitudinal Electronic Health Records (EHR).
Design: We applied document embedding algorithms to real-world paediatric intensive care (PICU) EHR data to extract patient-specific features from 1853 patients' PICU journeys using 647 unique lab tests and medication events. We evaluated the clinical utility of the patient features via a K-means clustering analysis.
Sci Rep
January 2025
School of Environmental Health, Institute of Public Health, Suranaree University of Technology, Nakhon Ratchasima, Thailand.
The objective of this study is to enhance the capacity of struvite-phosphate forming reactor utilized in the production of phosphorus fertilizer from wastewater collected from mobile toilets, characterized by phosphorus (P) concentrations of 5.0 ± 1.1 g/l.
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
The ecology of watersheds plays an important role in regulating regional climate and human activities. The sediment-soil system in the middle and lower reaches of the Yellow River Basin (Henan section) was explored. The spatial distribution characteristics of heavy metals (HMs) showed that tributaries, which are affected by anthropogenic activities, contain higher concentrations of HMs than the main channel.
View Article and Find Full Text PDFAm J Emerg Med
January 2025
Department of Emergency Department, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou 225001, China. Electronic address:
Background: Currently, there is a deficiency in nomograms specifically designed for predicting the failure of high-flow nasal cannula (HFNC) oxygen therapy in patients with hypercapnic acute respiratory failure (hypercapnic ARF). The aim of this retrospective study is to develop and evaluate a nomogram that assesses the risk of HFNC failure in this patient population.
Methods: Patients with ARF and hypercapnia (PaCO ≥ 45 mmHg in the initial arterial blood gas) who received HFNC in the intensive care unit (ICU) from January 1, 2020 to December 31, 2023 were enrolled in this study.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!