The importance of early numerical and executive function (EF) skills is well-established, with each skill set positively and specifically predicting later mathematics achievement, income, postsecondary education, and more. Less is known, however, about the relations between EF and numerical skills. Therefore, we examined the concurrent and predictive relations between EF and numerical skills in preschoolers to third graders (N = 205; 4.67-8.75 years of age; 43.9% female; 51.2% White non-Hispanic, 18% multiracial, 6.3% Hispanic, 12.2% Black, 2% American Indian/Alaska Native, 4.9% Asian, 1% not otherwise listed). We found positive concurrent relations between EF and all six numerical skills examined: nonsymbolic magnitude comparison, verbal counting, numerical literacy, count on, non-rote counting, and numerical problem solving. There were unidirectional predictive relations between EF and four of the six numerical skills after controlling for covariates and prior performance on the skill of interest. Bidirectional relations were found only for EF and nonsymbolic magnitude comparison. We also found that the concurrent relation between EF and count on was higher for children with typical versus persistently low mathematics achievement. All other concurrent and predictive relations were similar for children with typical and persistently low mathematics achievement. Overall, these findings show that the relations between EF and numerical skills are both pervasive and nuanced, such that they vary by timing of assessments (i.e., concurrent or predictive) and numerical skill. These results can inform future theoretical models on the role of EF in numerical development and have practical implications for designing interventions targeting these skill sets in early childhood.
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http://dx.doi.org/10.1016/j.jecp.2024.106113 | DOI Listing |
Nutrients
January 2025
Monash Centre for Health Research and Implementation, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia.
: Understanding ethnic differences in factors influencing healthy lifestyles postpartum is vital for informing effective lifestyle engagement strategies for women from specific ethnic groups. We aimed to explore ethnic differences in facilitators and barriers to lifestyle management among women after childbirth. : In this multi-methods study, women within 5 years of childbirth in Australia were recruited in a cross-sectional survey (n = 478) and semi-structured interviews (n = 17).
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Department Orthopaedic Surgery, Südtiroler Sanitätsbetrieb, Dantestraße 51, 39042 Brixen, Italy.
The objective of the study was to evaluate the epidemiology of slope-related accidents in a high-volume trauma center during the winter season. In addition, this study aims to analyze patient-related, equipment-related, and environment-related characteristics. A questionnaire containing 22 items was distributed to all adult patients admitted to the emergency department of the Brixen Hospital (Italy) during the 2023/24 winter season because of a ski/snowboard-related injury.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
School of Social Work, University of Texas at Arlington, Arlington, TX 76019, USA.
The present questionnaire study explores the relationship between intimate partner violence (IPV), coping strategies, and psychological maladjustment for both female and male college students, as well as considering the effects of perpetrated IPV. College students are at risk for experiencing and perpetrating IPV, and coping skills may act as important risk and protective factors. In total, 333 (247 women, 86 men) undergraduate college students completed an online survey for research participation credit.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Birth-related mortality is significantly increased by home births without skilled medical assistance during delivery, presenting a major risk to the public's health. The objective of this study is to predict home delivery and identify the determinants using machine learning algorithm in sub-Saharan African.
Methods: This study used design science approaches.
Sci Rep
January 2025
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.
This study examines the complexities of climate modeling, specifically in the Panj River Basin (PRB) in Central Asia, to evaluate the transition from CMIP5 to CMIP6 models. The research aimed to identify differences in historical simulations and future predictions of rainfall and temperature, examining the accuracy of eight General Circulation Models (GCMs) used in both CMIP5 (RCP4.5 and 8.
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