Adolescent Brain Cognitive Development (ABCD) study Linked External Data (LED): Protocol and practices for geocoding and assignment of environmental data

Fan, Chun; Marshall, Andrew T.; Smolker, Harry R.; Gonzalez, Marybel Robledo; Tapert, Susan F.; Deanna, M; Sowell, Elizabeth R.; Dowling, Gayathri J.; Cardenas‐Iniguez, Carlos; Ross, J. Megan; Thompson, Wesley K.; Herting, Megan M.

doi:10.1016/j.dcn.2021.101030

Cited by 83 publications

(67 citation statements)

References 91 publications

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“…Neighborhood disadvantage scores reflect an ABCD consortium-supplied variable (reshist_addr1_adi_wsum). In brief, participant’s primary home address was used to generate Area Deprivation Index (ADI) values ( Fan et al, 2021 ), which were weighted based on results from Kind et al ( Kind et al, 2014 ). to create an aggregate measure.…”

Section: Methodsmentioning

confidence: 99%

Socioeconomic resources are associated with distributed alterations of the brain’s intrinsic functional architecture in youth

Sripada

Gard

Angstadt

et al. 2022

Developmental Cognitive Neuroscience

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Section: Methodsmentioning

confidence: 99%

Socioeconomic resources are associated with distributed alterations of the brain’s intrinsic functional architecture in youth

Sripada

Gard

Angstadt

et al. 2022

Developmental Cognitive Neuroscience

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“…The area deprivation index (ADI) for youth participants' primary residential address at the baseline visit is a composite weighted-sum metric of neighborhood disadvantage (e.g., poverty rates, unemployment, median family income, low education; see Supplementary Table 1 ) ( 46 , 47 ). Census-tract-level ADI, based on the 2011–2015 five-year ACS estimates (i.e., the data included and released with the ABCD dataset), was computed based on coefficient values from Kind, Jencks ( 46 ) and discretized into national percentiles for the ABCD data release ( 48 ). Scripts for computing and merging ADI (and its national percentile) with ABCD data are available: https://github.com/ABCD-STUDY/geocoding/blob/master/Gen_data_proc.R .…”

Section: Methodsmentioning

confidence: 99%

Resilience to COVID-19: Socioeconomic Disadvantage Associated With Positive Caregiver–Youth Communication and Youth Preventative Actions

Marshall

Hackman

Baker

et al. 2022

Front. Public Health

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Socioeconomic disadvantage is associated with larger COVID-19 disease burdens and pandemic-related economic impacts. We utilized the longitudinal Adolescent Brain Cognitive Development Study to understand how family- and neighborhood-level socioeconomic disadvantage relate to disease burden, family communication, and preventative responses to the pandemic in over 6,000 youth-caregiver dyads. Data were collected at three timepoints (May–August 2020). Here, we show that both family- and neighborhood-level disadvantage were associated with caregivers' reports of greater family COVID-19 disease burden, less perceived exposure risk, more frequent caregiver-youth conversations about COVID-19 risk/prevention and reassurance, and greater youth preventative behaviors. Families with more socioeconomic disadvantage may be adaptively incorporating more protective strategies to reduce emotional distress and likelihood of COVID-19 infection. The results highlight the importance of caregiver-youth communication and disease-preventative practices for buffering the economic and disease burdens of COVID-19, along with policies and programs that reduce these burdens for families with socioeconomic disadvantage.

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“…For variables from national database registries, neighborhoods were defined based on census tracts. The ABCD Consortium obtained residential data by linking caregivers’ reported addresses to federal digital archives at the census‐tract level (Fan et al., 2021). Residential data were aggregated at the level of census tracts, as they are originally designed to be homogeneous with respect to population characteristics, economic status, and living conditions (U.S. Bureau of the Census, 1992).…”

Section: Methodsmentioning

confidence: 99%

Effects of the physical and social environment on youth cognitive performance

Meredith

Cardenas‐Iniguez

Berman

et al. 2022

Developmental Psychobiology

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Individual differences in children's cognitive abilities impact life and health outcomes.What factors influence these individual differences during development? Here, we test whether children's environments predict cognitive performance, independent of well-characterized socioeconomic effects. We analyzed data from 9002 9-to 10-year olds from the Adolescent Brain Cognitive Development Study, an ongoing longitudinal study with community samples across the United States. Using youth-and caregiverreport questionnaires and national database registries (e.g., neighborhood crime, walkability), we defined principal components summarizing children's home, school, neighborhood, and cultural environments. In two independent samples (ns = 3475, 5527), environmental components explained unique variance in children's general cognitive ability, executive functioning, and learning/memory abilities. Furthermore, increased neighborhood enrichment was associated with an attenuated relationship between sociodemographics and general cognitive abilities. Thus, the environment accounts for unique variance in cognitive performance in children and should be considered alongside sociodemographic factors to better understand brain functioning and behavior across development.

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Adolescent Brain Cognitive Development (ABCD) study Linked External Data (LED): Protocol and practices for geocoding and assignment of environmental data

Cited by 83 publications

References 91 publications

Socioeconomic resources are associated with distributed alterations of the brain’s intrinsic functional architecture in youth

Socioeconomic resources are associated with distributed alterations of the brain’s intrinsic functional architecture in youth

Resilience to COVID-19: Socioeconomic Disadvantage Associated With Positive Caregiver–Youth Communication and Youth Preventative Actions

Effects of the physical and social environment on youth cognitive performance

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