The effect of family socioeconomic status (SES) on academic achievement in literacy and numeracy has been extensively studied with educational inequalities already witnessed in preschoolers. This is presumably explained by the effect of family SES on cognitive and socioemotional abilities associated with academic achievement. Metacognition which refers to knowledge and regulation skills involving reflexivity about one's own cognitive processes is one of these abilities. However, most of the studies investigating the association between metacognition and academic achievement have focused on school-aged students and studies with younger students are only emerging. Meanwhile, the association between family SES and metacognition abilities has surprisingly received little attention regardless of participants' age. The aim of this study was to explore the associations between family SES, metacognition, language and mathematical abilities in preschoolers aged 5 to 6. We provide the first evidence that the effect of family SES on preschoolers' language and mathematical abilities is mediated by the effect of family SES on their metacognitive abilities. The implications for future research, education and policies aiming at reducing educational inequalities are discussed.
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http://dx.doi.org/10.1038/s41598-024-60972-0 | DOI Listing |
Alzheimers Dement
January 2025
Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA.
Introduction: The association between adult child educational attainment and older parent's cognitive health may vary across diverse contexts but cross-national comparisons have been limited by differences in outcome assessment, study design, and analytic choices.
Methods: We used harmonized data with comprehensive cognitive assessments from the United States (N = 3088), India (N = 3828), and Mexico (N = 1875) to estimate associations between adult child education and older adults' cognitive functioning using linear regression models adjusted for respondent and family-level socio-economic status (SES) in each study.
Results: Each additional year of offspring education was associated with 0.
J Appl Dev Psychol
December 2024
Human Development and Family Science, University of Georgia, Athens, GA, United States.
Neighborhood disadvantage has been linked to youths' diminished future orientation, defined as the degree to which one thinks about, anticipates, and plans for the future. Yet, parenting behaviors may moderate this link. Using longitudinal data from parent-child dyads ( = 101, 51.
View Article and Find Full Text PDFJ Child Lang
January 2025
State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Although family factors are considered important for children's language acquisition, the evidence comes primarily from affluent societies. Thus, this study aimed to examine the relations between family factors (family's socioeconomic status [SES], home literacy activities, access to print resources, and parental beliefs) and children's vocabulary knowledge in both urban and rural settings in China. Data from 366 children (urban group: 109, 4.
View Article and Find Full Text PDFJ Child Psychol Psychiatry
January 2025
Department of Applied Psychology and Human Development, University of Toronto, Toronto, Ontario, Canada.
Background: This longitudinal study with multi-informant (maternal, paternal, and experimenter) and multimethod (questionnaires, behavioral observations, and standardized assessments) data tests an intergenerational model from mothers' adverse childhood experiences (ACEs) to their children's socio-emotional and cognitive outcomes.
Methods: Participants were 501 children (50.7% male) and caregivers (56.
J Alzheimers Dis
January 2025
Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA.
Background: Survival after an Alzheimer's disease (AD) diagnosis is vital for patients, their families, caregivers, and healthcare providers. Hawaii, known for its diverse ethnic population, exhibits significant racial health disparities.
Objective: This study examined racial/ethnic and socioeconomic disparities in AD survival in Hawaii and developed machine learning models to predict overall survival using Hawaii Medicare data.
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