of 1 Next >
Results Found: 7
  • 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...

    Subject
    Risk Factors
    Access Rights
    Application Required
    Author Approval Required
  • 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...

    Subject
    Population Characteristics
    Access Rights
    Application Required
    Local Expert
    Brian Elbel
  • NYU Dataset

    Dataset from the Financial Incentives for Weight Reduction Randomised Controlled Trial

    Alternate Title(s)
    FIReWoRk Trial
    Authors
    Melanie Jay
    Stephanie L. Orstad
    Soma Wali
    Judith Wylie-Rosett
    6 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 ā€“ Bellevue,...

    Subject
    Chronic Disease
    Risk Factors
    Access Rights
    Application Required
    Author Approval Required
  • 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....

    Subject
    COVID-19
    Electronic Health Records
    Genomics
    Health Care System
    Health Status
    Mental Health
    Population Characteristics
    Risk Factors
    Access Rights
    Application Required
    All NYU
    Local Expert
    Fred LaPolla
  • NYU Dataset

    Trauma Risk Score Matching for Observational Studies in Orthopedic Trauma

    Authors
    Rown Parola
    Abhishek Ganta
    Kenneth A. Egol
    Sanjit 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...

    Subject
    Anatomy
    Quality of Health Care
    Risk Factors
    Surgery
    Access Rights
    Free to All
  • NYU Dataset

    Mediators of Atherosclerosis in South Asians Living in America Study

    Alternate Title(s)
    MASALA
    Authors
    Alka Kanaya
    Namratha Kandula
    Nadia 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...

    Subject
    Chronic Disease
    Genomics
    Mental Health
    Population Characteristics
    Risk Factors
    Access Rights
    Application Required
    Author Approval Required
  • NYU Dataset

    Food and Microbiome Longitudinal Investigation

    Alternate Title(s)
    FAMiLI, NYU Human Microbiome Study Cohort
    Authors
    Jiyoung Ahn
    Stella 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,...

    Subject
    Chronic Disease
    Population Characteristics
    Risk Factors
    Access Rights
    Free to All