데이터셋 상세
미국
Full data appendix
General cognitive ability, often referred to as ‘general intelligence’, comprises a variety of correlated abilities. Childhood general cognitive ability is a well-studied area of research and can be used to predict social outcomes and perceived success. Early life stage (e.g., prenatal, postnatal, toddler) exposures to stressors (i.e., chemical and non-chemical stressors from the total (built, natural, social) environment) can impact the development of childhood cognitive ability. Building from our systematic scoping review (Ruiz et al., 2016), we conducted a meta-analysis to evaluate more than 100 stressors related to cognitive development. Our meta-analysis identified 23 stressors with a significant increase in their likelihood to influence childhood cognitive ability by 10% or more, and 80 stressors were observed to have a statistically significant effect on cognitive ability. Stressors most impactful to cognition during the prenatal period were related to maternal health and the mother’s ability to access information relevant to a healthy pregnancy (e.g., diet, lifestyle). Stressors most impactful to cognition during the early childhood period were dietary nutrients (infancy), quality of social interaction (toddler), and exposure to toxic substances (throughout early childhood). In conducting this analysis, we examined the relative impact of real-world exposures on cognitive development to attempt to understand the inter-relationships between exposures to both chemical and non-chemical stressors and early developmental life stages. Our findings suggest that the stressors observed to be the most influential to childhood cognitive ability are not permanent and can be broadly categorized as activities/behaviors which can be modified to improve childhood cognition. This meta-analysis supports the idea that there are complex relationships between a child’s total environment and early cognitive development. This dataset is associated with the following publication: Nilsen, F., J. Ruiz, and N. Tulve. A Meta-Analysis of Stressors from the Total Environment Associated with Children’s General Cognitive Ability. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 17(15): 5451, (2020).
데이터 정보
연관 데이터
Final Prenatal Dataset
공공데이터포털
Full data tables presented in the Supplemental Information in Excel format. This dataset is associated with the following publication: Nilsen, F., J. Frank, and N. Tulve. A systematic review and meta-analysis investigating the relationship between exposures to chemical and non-chemical stressors during prenatal development and childhood externalizing behaviors. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 17(7): 2361, (2020).
Final Prenatal Dataset
공공데이터포털
Full data tables presented in the Supplemental Information in Excel format. This dataset is associated with the following publication: Nilsen, F., J. Frank, and N. Tulve. A systematic review and meta-analysis investigating the relationship between exposures to chemical and non-chemical stressors during prenatal development and childhood externalizing behaviors. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 17(7): 2361, (2020).
Childhood Chemical Exposures & ADHD
공공데이터포털
Odds ratio statistics for ADHD outcomes and chemical exposures. This dataset is associated with the following publication: Nilsen, F., and N. Tulve. A systematic review and meta-analysis examining the interrelationships between chemical and non-chemical stressors and inherent characteristics in children with ADHD. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 180: 108884, (2020).
Well-being Instruments for Early Childhood
공공데이터포털
This table provides details about various well-being instruments for early childhood that may be useful to title IV-E agencies looking to implement or expand the use of screening and functional assessments for ongoing practice and waiver demonstration evaluations. Metadata-only record linking to the original dataset. Open original dataset below.
Gestational Exposure to Perchlorate in the rat: Thyroid Hormones in Fetal Thyroid Gland, Serum, and Brain
공공데이터포털
This dataset contains results from rodent study. Thyroid hormones and brain endpoints are reported for pregnant rat dams and progeny on gestational day 20 following drinking water exposure to the dams. Several dose levels were examined. This dataset is associated with the following publication: Gilbert, M., I. Hassan, C. Wood, K. O'Shaughnessy, S. Spring, S. Thomas, and J. Ford. Gestational Exposure to Perchlorate in the rat: Thyroid Hormones in Fetal Thyroid Gland, Serum, and Brain. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 188(1): 117-130, (2022).
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
공공데이터포털
The original contributions presented in the study are included in the article and online through the TAME Toolkit, available at: https://uncsrp.github.io/Data-Analysis-Training-Modules/, with underlying code and datasets available in the parent UNC-SRP GitHub website (https://github.com/UNCSRP). This dataset is associated with the following publication: Roell, K., L. Koval, R. Boyles, G. Patlewicz, C. Ring, C. Rider, C. Ward-Caviness, D. Reif, I. Jaspers, R. Fry, and J. Rager. Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 4: 893924, (2022).
Respondents Indicating At Least 1 Type of Adverse Childhood Experience (LGHC Indicator)
공공데이터포털
This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. The Adverse Childhood Experiences (ACEs) module of the Behavioral Risk Factors Surveillance System (BRFSS) asks respondents questions about eight different traumatic childhood experiences that occurred before the age of 18. These include verbal/emotional abuse, physical abuse, sexual abuse, and negative household situations including the incarceration of an adult, alcohol or drug abuse by an adult, violence between adults, mental illness of a household member, and parental divorce or separation. A cumulative ACEs score is calculated for each respondent by counting the number of these items that a respondent reported experiencing, creating a score ranging from 0 to 8. 11 questions about adverse childhood experiences (ACEs) are condensed into a ordinal scale from 0 to 8 possible ACEs. This indicator shows the prevalence of adults who reported having 1 or more ACEs. However other data cuts are available, e.g., 3 or more ACEs The ACEs module is a very "lagging" indicator capturing childhood experiences retrospectively by asking adults 18+ years of age. Additional limitations include: 1) relies on self-reported information, 2) provides prevalence, not incidence data, 3) bias or measurement error associated with telephone-administered survey of a sample of the population (e.g., response bias, sampling variation), 4) designed to provide state-level population health estimates and does not provide sub-state estimates or estimates by racial sub-groups (e.g., Asian sub-groups) unless multiple years are combined. Because of the changes in the methodology, researchers are advised to avoid comparing data collected before the changes (up to 2010) with data collected from 2011 and onward: http://www.cdc.gov/brfss/annual_data/2013/pdf/compare_2013.pdf. In addition, due to changes in the insurance variables, the "Other Public" insurance category was not able to be calculated in 2013.