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NYU Dataset
Impact of the Food Environment on Child Body Mass Index
- Authors
- Brian Elbel
- Description
This data was compiled as part of a project to analyze existing administrated data to investigate the impact of the food environment on body mass index BMI. The project aimed to characterize the relationship between population characteristics and the urban food environment, determine the impact of variation in the urban food environment on BMI, and identify interaction effects between demographic characteristics...
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Risk Factors
- Access Rights
- Application RequiredAuthor Approval Required
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Fitnessgram Data from the New York City Department of Education
- Description
This dataset is student-level administrative data. It is compiled by the New York City Department of Education (DOE) as part of their Fitnessgram program. Fitnessgram is a fitness assessment for students K - 12 in the New York City public schools. As a part of this program, data is collected about student height, weight, fitness level, strength, endurance, and flexibility. Data collection began in...
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Population Characteristics
- Access Rights
- Application Required
- Local Expert
- Brian Elbel
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NYU Dataset
Dataset from the Financial Incentives for Weight Reduction Randomised Controlled Trial
- Alternate Title(s)
- FIReWoRk Trial
- Authors
- Melanie JayStephanie L. OrstadSoma WaliJudith Wylie-Rosett6 more author(s)...
- Description
The Financial Incentives for Weight Reduction (FIReWoRk) trial assessed the comparative effectiveness of financial incentives on the attainment of weight loss goals among adult patients (aged 18 to 70 years old) with obesity from neighborhoods with low socioeconomic status in New York City and Los Angeles. Eligible patients were identified at 3 primary care locations: NYC Health+Hospitals – Bellevue,...
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Chronic DiseaseRisk Factors
- Access Rights
- Free to All
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All of Us Research Hub
- Description
With an emphasis on reaching historically underrepresented populations, the All of Us Research Program recruits adults aged 18 and above across the United States to share their health data to enable new insights into human health and research on precision medicine. Participants contribute electronic health records (EHR), survey responses, biospecimens, wearable devices (biometrics), and physical measurements....
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COVID-19Electronic Health RecordsGenomicsHealth Care SystemHealth StatusMental HealthPopulation CharacteristicsRisk Factors
- Access Rights
- Application RequiredAll NYU
- Local Expert
- Fred LaPolla
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NYU Dataset
Trauma Risk Score Matching for Observational Studies in Orthopedic Trauma
- Authors
- Rown ParolaAbhishek GantaKenneth A. EgolSanjit R. Konda
- Description
Clinical data was extracted from electronic health records from patients treated for hip fractures by the Department of Orthopedic Surgery at NYU Langone Health between October 2014 and February 2020. A total of 1,590 patients aged 55 and older were included in the retrospective review with complete records for patient's sex; body mass index; comorbidities as measured with the Charlson Comorbidity...
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AnatomyQuality of Health CareRisk FactorsSurgery
- Access Rights
- Free to All
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NYU Dataset
Mediators of Atherosclerosis in South Asians Living in America Study
- Alternate Title(s)
- MASALA
- Authors
- Alka KanayaNamratha KandulaNadia S. Islam
- Description
The Mediators of Atherosclerosis in South Asians Living in America (MASALA) Study examines risk factors for heart disease among South Asians of Indian, Pakistani, Bangladeshi, Nepali, and Sri Lankan descent in the United States to guide preventative measures and future treatments. Beginning in 2010, eligible South Asian participants between the ages of 40 and 80 were recruited from the San Francisco...
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Chronic DiseaseGenomicsMental HealthPopulation CharacteristicsRisk Factors
- Access Rights
- Application RequiredAuthor Approval Required
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NYU Dataset
Food and Microbiome Longitudinal Investigation
- Alternate Title(s)
- FAMiLI, NYU Human Microbiome Study Cohort
- Authors
- Jiyoung AhnStella Yi
- Description
Food and Microbiome Longitudinal Investigation (FAMiLI) is an ongoing prospective cohort study that has enrolled a diverse cohort in the United States to study how the human microbiome and diet are related to various chronic diseases, including cancer, heart disease, and diabetes. Eligible participants are at least 40 years old, not pregnant, and not using long-term antibiotics. As of January 2023,...
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Chronic DiseasePopulation CharacteristicsRisk Factors
- Access Rights
- Free to All
