Dataset Information

Thresholds of Resilience and Within- and Cross-Domain Academic Achievement among Children in Poverty.

ABSTRACT: Growing up in poverty increases the likelihood of maladaptive development. Yet, some children are able to overcome the adversity of poverty and demonstrate resilience. Currently, there is limited agreement among researchers about how to operationalize resilience, both in terms of who should be the comparison group against whom at-risk children are compared and in terms of what developmental domains of resilience are most predictive of later positive development. The present study investigated how different thresholds and domains of resilience at school entry were associated with within-domain and cross-domain academic achievement across elementary school. Using a nationally representative and longitudinal sample, the results demonstrated that children who reached a high threshold of resilience at entry to kindergarten had similar mathematics and literacy achievement throughout elementary school as academically competent children not in poverty. Additionally, cross-domain associations were found for both mathematics and literacy resilience predicting later achievement. These findings have important research and intervention implications for promoting positive academic development among children in poverty.

SUBMITTER: Sattler K

PROVIDER: S-EPMC6364857 | biostudies-literature | 2019 1st Quarter

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Thresholds of Resilience and Within- and Cross-Domain Academic Achievement among Children in Poverty.

Sattler Kierra K Gershoff Elizabeth E

Early childhood research quarterly 20180516

Growing up in poverty increases the likelihood of maladaptive development. Yet, some children are able to overcome the adversity of poverty and demonstrate resilience. Currently, there is limited agreement among researchers about how to operationalize resilience, both in terms of who should be the comparison group against whom at-risk children are compared and in terms of what developmental domains of resilience are most predictive of later positive development. The present study investigated ho ...[more]

PMID: 30739988

Similar Datasets

Project description:ImportanceChildren living in poverty generally perform poorly in school, with markedly lower standardized test scores and lower educational attainment. The longer children live in poverty, the greater their academic deficits. These patterns persist to adulthood, contributing to lifetime-reduced occupational attainment.ObjectiveTo determine whether atypical patterns of structural brain development mediate the relationship between household poverty and impaired academic performance.Design, setting, and participantsLongitudinal cohort study analyzing 823 magnetic resonance imaging scans of 389 typically developing children and adolescents aged 4 to 22 years from the National Institutes of Health Magnetic Resonance Imaging Study of Normal Brain Development with complete sociodemographic and neuroimaging data. Data collection began in November 2001 and ended in August 2007. Participants were screened for a variety of factors suspected to adversely affect brain development, recruited at 6 data collection sites across the United States, assessed at baseline, and followed up at 24-month intervals for a total of 3 periods. Each study center used community-based sampling to reflect regional and overall US demographics of income, race, and ethnicity based on the US Department of Housing and Urban Development definitions of area income. One-quarter of sample households reported the total family income below 200% of the federal poverty level. Repeated observations were available for 301 participants.ExposureHousehold poverty measured by family income and adjusted for family size as a percentage of the federal poverty level.Main outcomes and measuresChildren's scores on cognitive and academic achievement assessments and brain tissue, including gray matter of the total brain, frontal lobe, temporal lobe, and hippocampus.ResultsPoverty is tied to structural differences in several areas of the brain associated with school readiness skills, with the largest influence observed among children from the poorest households. Regional gray matter volumes of children below 1.5 times the federal poverty level were 3 to 4 percentage points below the developmental norm (P < .05). A larger gap of 8 to 10 percentage points was observed for children below the federal poverty level (P < .05). These developmental differences had consequences for children's academic achievement. On average, children from low-income households scored 4 to 7 points lower on standardized tests (P < .05). As much as 20% of the gap in test scores could be explained by maturational lags in the frontal and temporal lobes.Conclusions and relevanceThe influence of poverty on children's learning and achievement is mediated by structural brain development. To avoid long-term costs of impaired academic functioning, households below 150% of the federal poverty level should be targeted for additional resources aimed at remediating early childhood environments.

Project description:ObjectivesWelfare policy focuses on vulnerable populations, such as children with difficult family backgrounds. Education is a crucial way to reduce poverty. This study explored the relationship between children's diet structure and academic achievement and compared these across different family backgrounds.DesignA cross-sectional study was conducted to survey the health status of children from difficult families based on a random sampling method in 2018. Survey data were collected from children and their guardians with a questionnaire. A multi-sample latent class model and an ordinal logistic model were applied for data analysis.SettingThis study was conducted in 31 provinces nationwide. Two provinces in the Central (Shandong and Jiangxi), Eastern (Hebei and Henan) and Western (Chongqing and Shanxi) regions and one province in the Northeast (Liaoning) were selected considering different stratum of economic development.ParticipantsA total of 2099 children with difficult family backgrounds and 666 children from ordinary families were surveyed.ResultsThe dietary structure of children from ordinary families was significantly better than that of children with difficult or unstable family backgrounds ([Formula: see text] =9.178, p<0.01). Children from difficult families had an intake of dairy products and fruits below dietary standards. The difference in academic achievement between children in the balanced and deprived groups was statistically significant (OR=0.640, 95% CI 0.429 to 0.955). Other determinants of the academic achievement of children in difficult families were parents' education level (OR=1.331, 95% CI 1.162 to 1.525), family economic status (OR=0.835, 95% CI 0.748 to 0.932) and parents' academic concern (OR=0.373, 95% CI 0.252 to 0.553).ConclusionsTo address the differences between children from difficult families and ordinary families, policymakers should develop support policies for difficult children, guide the formation of a reasonable dietary structure. Besides, enhancing family closeness and fostering family nurturing behaviours are the keys to promote the good academic development of children from difficult families.

Project description:In the United States, schools serving urban, low-income students are among the lowest-performing academically. Previous research in relatively well-off populations has linked vegetation in schoolyards and surrounding neighborhoods to better school performance even after controlling for important confounding factors, raising the tantalizing possibility that greening might boost academic achievement. This study extended previous cross-sectional research on the "greenness"-academic achievement link to a public school district in which nine out of ten children were eligible for free lunch. In generalized linear mixed models, Light Detection and Ranging (LiDAR)-based measurements of green cover for 318 Chicago public schools predicted statistically significantly better school performance on standardized tests of math, with marginally statistically significant results for reading-even after controlling for disadvantage, an index combining poverty and minority status. Pupil/teacher ratio %bilingual, school size, and %female could not account for the greenness-performance link. Interactions between greenness and Disadvantage suggest that the greenness-academic achievement link is different for student bodies with different levels of disadvantage. To determine what forms of green cover were most strongly tied to academic achievement, tree cover was examined separately from grass and shrub cover; only tree cover predicted school performance. Further analyses examined the unique contributions of "school tree cover" (tree cover for the schoolyard and a 25 m buffer) and "neighborhood tree cover" (tree cover for the remainder of a school's attendance catchment area). School greenness predicted math achievement when neighborhood greenness was controlled for, but neighborhood greenness did not significantly predict either reading or math achievement when school greenness was taken into account. Future research should assess whether greening schoolyards boost school performance.

Dataset Information

Thresholds of Resilience and Within- and Cross-Domain Academic Achievement among Children in Poverty.

Publications

Thresholds of Resilience and Within- and Cross-Domain Academic Achievement among Children in Poverty.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets