Study Results
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Basic Information
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ENROLLING_BY_INVITATION
280 participants
OBSERVATIONAL
2021-09-01
2025-08-31
Brief Summary
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Detailed Description
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1. The impact of infant exposure to environmental toxins on subclinical markers of chronic disease risk at age 6y.
2. The impact of infant exposure to environmental toxins and nutrition, especially the HMOs 2'FL, LNFPI, LNFPII, LNnT \& LNH, in early life on adiposity and chronic disease risk at age 6y.
3. The impact of infant exposure to HMOs containing fructose and sialic acid on brain development at age 6y using image-based measures of brain structure (anatomical MRI), function (resting state fMRI), blood flow (arterial spin labeling), myelination and tissue microstructure (diffusion tensor imaging) as well as cognitive outcomes.
4. The impact of breast feeding (at breast vs delivered via a bottle) and the changing HMO profile on eating in the absence of hunger at age 6y, and structural and functional differences in key areas of the brain involved with appetite regulation (frontal cortex, basal ganglia, hippocampus, hypothalamus).
5. The impact of the food environment and broader SDOH on subclinical markers of chronic disease and how these relationships may exacerbate the effects of poor nutrition and environmental toxins.
Exposures:
Ambient Air pollution: Addresses will be used to generate x,y coordinates of latitude and longitude, geoIDs, and census tracts. These spatial elements will be used to query several databases to generate new geocoded social and environmental exposure variables. In addition, child dates of birth will be used to assign air pollution exposure estimates and community contextual variables for relevant time windows in early life through 6 years of age. Ambient air pollution will be measured by assigning PM2.5, NO2, and O3 exposures using hybrid model outputs developed by a team lead by Dr. Joel Schwartz (Harvard) over many years.
Near-Roadway Air Pollution (NRAP) : Addresses will be used to generate x,y coordinates of latitude and longitude, geoIDs, and census tracts. These spatial elements will be used to query several databases to generate new geocoded social and environmental exposure variables. In addition, child dates of birth will be used to assign air pollution exposure estimates and community contextual variables for relevant time windows in early life through 6 years of age. NRAP is a complex mixture of particles and gases, including particulate matter, organic compounds, elemental carbon, and polycyclic aromatic hydrocarbons. In this study, NRAP exposure will be characterized using the CALINE4 air quality dispersion model that incorporate HERE (www.here.com) detailed roadway geometry, traffic volumes from Streetlytics™ by Citilabs, Inc. (www.citilabs.com), vehicle emission rates from CARB's EMFAC2017 model, and atmospheric transport and dispersion (using wind speed, wind direction, atmospheric stability, and height of the mixing layer).
Social Determinants of Health (SDH): Addresses will be used to generate x,y coordinates of latitude and longitude, geoIDs, and census tracts. These spatial elements will be used to query several databases to generate new geocoded social and environmental exposure variables. In addition, child dates of birth will be used to assign air pollution exposure estimates and community contextual variables for relevant time windows in early life through 6 years of age. To capture SHD, we will use both individual-level data obtained from self-reported instruments as well context-level data obtained through geocoding and enrichment of participant data. For our geospatial analysis, using patient home addresses, we will assign (x,y) geographical coordinates using GIS software, which are spatially joined or associated with census tract polygons into which they fall. An 11-digit "Spatial GeoID" is appended to each point. The GeoID is then used to match the relevant data point to data from several state and national databases, including the US Census Bureau, the American Communities Survey, the US Department of Agriculture Economic Research Service, the Environmental Protection Agency, the California Environmental Health Screen, and the Healthy Places Index. PhenX SDOH core constructs will be used to capture sex, marital status, household composition, race/ethnicity, age, gender identity, birthplace, English proficiency, health literacy employment, food insecurity, and access to health services. Maternal Social Health will be assessed using validated measures from the Patient-Reported Outcomes Measurement Information System (PROMIS®). Two key domains relevant to diet and chronic disease will be measured: social isolation and social support. Acculturation to the US will be assessed by the Marin Short Acculturation Scale.
Child Dietary Intake: 24-hour dietary and physical activity recalls will be conducted in triplicate (1 weekend day and 2 weekdays). Dietary intake will be analyzed using the most current version of NDSR, which has been used extensively in the Goran lab and elsewhere for studies in Hispanics. Diet will be assessed at 6y of age.
Child Physical Activity: To assess physical activity, we will use the early years physical activity questionnaire (EY-PAQ). Mothers will be asked to report the frequency and duration of different Moderate to vigorous physical activity and sedentary time in which their child engaged during a typical week in the previous month. Physical activity will be assessed at 6y of age.
Child Sleep: To assess sleep, we selected the Children's Sleep Habits Questionnaire172, because it captures all domains of sleep health and was designed for children aged 2-10 years. Child sleep will be assessed at 6y of age.
Previously collected exposures: Early nutrition including breastfeeding versus formula feeding, breastfeeding exclusivity, breastfeeding duration, Breastmilk composition including HMO concentrations, and dietary intake were assessed at the timepoints 1 month (baseline), 6 months, 12 months, 24 months and 36 months. All previously collected variables can be found at the ClinicalTrials.gov pages for the original two cohorts from which this project stems: The Effects of Natural Sugars in Breast Milk on Healthy Infant Growth and Development (NCT04434027) and Improving the Eating Habits of Mother and Her Infant Via Sugar Reduction (MAMITA) (NCT03141346).
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Mother's who self identify as Hispanic
* Mother's who are first-time moms
* Mother's who have or have had singleton births
* Mothers must be able/willing to understand the procedures of the study, and must be able to read English or Spanish at a 5th grade level
Exclusion Criteria
* Physical, mental, or cognitive issues that prevent participation
* Chronic use of any medication that may affect body weight or composition, insulin resistance, or lipid profiles
* Current smoking (more than 1 cigarette in the past week) or use of other recreational drugs
* Clinical diagnosis of gestational diabetes
* Pre-term/low birth weight infants, or diagnosis of any fetal abnormalities
* Mothers less than 18 years of age at the time of delivery will not be eligible as to avoid potential confounding from those subjects who might still be completing adolescent growth
6 Years
6 Years
ALL
Yes
Sponsors
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University of Colorado, Denver
OTHER
University of California, San Diego
OTHER
University of Southern California
OTHER
Responsible Party
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Michael I. Goran
Principal Investigator
Locations
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Children's Hospital Los Angeles
Los Angeles, California, United States
Countries
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Other Identifiers
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CHLA-21-00314
Identifier Type: -
Identifier Source: org_study_id
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