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Results Found: 57
  • National Health and Nutritional Examination Survey

    Alternate Title(s)
    NHANES
    Description

    The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The survey is unique in that it combines interviews and physical examinations. The NHANES interview includes demographic, socioeconomic, dietary, and health-related questions. The examination component consists of medical, dental, and physiological measurements, as well as laboratory tests administered by highly trained medical personnel.

    Subject
    Health Status
    Geographic Coverage
    National
    Access Rights
    Free to All
    Local Expert for NYU
    James Slover
    Jiyoung Ahn
    Judith Goldberg
    Leo Trasande
    Lorna Thorpe
    Michael Weitzman
    Niyati Parekh
    Terry Gordon
  • New York City Health and Nutrition Examination Study

    Alternate Title(s)
    NYC HANES
    Authors
    Lorna Thorpe
    Description

    The NYC Health and Nutritional Examination Survey (NYC HANES), modeled on the National Health and Nutrition Examination Survey (NHANES), is a population-based, cross-sectional study with data colleced from physical examinations, clinical and laboratory tests, as well as face-to-face interviews and audio computer-assisted self-interviews (ACASI). It was first conducted in 2004 by the NYC Department of Health and Mental Hygiene (DOHMH) in 2004 and again in 2013-2014 by the City University of New York School of Public Health and NYC DOHMH jointly. Participants in both rounds of collection are non-institutionalized adults, 20 years or older. NYC HANES focuses on chronic conditions such as diabetes, high blood pressure, high cholesterol, and depression.

    Subject
    Health Status
    Geographic Coverage
    New York (City)
    Access Rights
    Free to All
    Local Expert for NYU
    Bonnie Kerker
    Rania Kanchi
  • Project Tycho

    Description

    Project Tycho includes data from all weekly notifiable disease reports for the United States and elsewhere back to 1888. It includes data counts for 58 diseases and 81 disease subcategories, with available years varying across disease and location.

    Data are available as pre-compiled datasets, through a data query system, and through an API. Pre-compiled datasets include 92 datasets on specific diseases in the United States, including Measles, Tuberculosis, Diphtheria, and Pneumonia. Pre-compiled datasets also include datasets related to Dengue from 99 countries.

    Subject
    Health Status
    Geographic Coverage
    International
    National
    Access Rights
    Free to All
  • Clinical Ophthalmology Data from NYU Langone Health
    NYU Dataset

    Authors
    Joel S. Schuman
    Gadi Wollstein
    Description

    This dataset includes information from the clinical ophthalmic examinations of individuals at the NYU Langone Health Department of Ophthalmology. This population includes healthy individuals, glaucoma suspect, and subjects with glaucoma age eighteen years and above. Data on demographics, medical history and medication are included.

    Clinical ophthalmic examination information includes visual acuity, refraction, intraocular pressure, axial length, pachymetry, and biomicroscopy of anterior and posterior segments of the eye. Visual field tests and Cirrus Optical Coherence Tomography (OCT) of the optic nerve head and macula are also available.

    Subject
    Health Status
    Geographic Coverage
    Multiple States
    Access Rights
    Application Required
    Author approval required
  • Antibiotics to Treat Pneumonia: NYU Langone Health EHR
    NYU Dataset

    Description

    This dataset was compiled as part of a multi-center randomized clinical trial comparing Ampicillin/Amoxicillin to Levofloxacin for people over fifty years of age with mild-to-moderate community acquired pneumonia. The dataset includes the number of patients admitted to the hospital through the ED in 2017 with pneumonia (ICD-10 codes J13, J14, J15, J16, J17, J18), separated by age (aged 35 and older, aged 50 and older) as well as by whether they were discharged home, admitted to the regular medical ward, or admitted to a monitored bed.

    Subject
    Health Status
    Geographic Coverage
    New York (City)
    Timeframe
    2017
    Access Rights
    Application Required
    NYU Langone Health Only
    Local Expert for NYU
    William Chiang
  • Predictive Modeling Software: Neuroanatomical Age Prediction Using R
    NYU Dataset

    Alternate Title(s)
    NAPR
    Authors
    Heath R. Pardoe
    Ruben Kuzniecky
    Description

    Neuroanatomical Age Prediction Using R (NAPR) is a system that provides network-based access to predictive modeling software running on a persistent Amazon Web Services (AWS) computing instance. The framework allows external users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The model was trained using healthy control data from the Autism Brain Imaging Data Exchange (ABIDE), Consortium for Reproducibility (CoRR), Dallas Lifespan Brain Study (DLBS), and NKI Rockland neuroimaging datasets (total n=2367, age range 6-89 years).

    Subject
    Health Status
    Access Rights
    Free to All
  • National Longitudinal Study of Adolescent Health

    Alternate Title(s)
    Add Health
    Authors
    Kathleen Harris
    J. Richard Udry
    Peter S. Bearman
    Description

    The National Longitudinal Study of Adolescent Health (Add Health) is a longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-1995 school year. Add Health combines longitudinal survey data on respondents' social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. Public use biomarker data has been added.

    Subject
    Health Status
    Population Characteristics
    Geographic Coverage
    National
    Access Rights
    Free to All
    Application Required
  • National Vital Statistics System

    Alternate Title(s)
    NVSS
    Description

    The National Vital Statistics System data are provided through contracts between National Center for Health Statistics and vital registration systems operated in the various jurisdictions legally responsible for the registration of vital events – births, deaths, marriages, divorces, and fetal deaths.

    Subject
    Health Status
    Population Characteristics
    Geographic Coverage
    National
    Access Rights
    Free to All
    Free to all with registration
    Application Required
    Local Expert for NYU
    Jennifer Uyei
  • P18 Cohort Study: GPS Sub-study
    NYU Dataset

    Authors
    Dustin Duncan
    Description

    This dataset was collected from a subsample of active particpants in the ongoing P18 Cohort Study (n=75). The dataset includes survey data responses concerning substance use, sexual behavior, and sociodemographics in young Gay, bisexual and other men who have sex with men (YMSM) in New York City. The dataset also includes survey data administered before and after the study to evaluate the feasibility of using GPS devices for this kind of research, as well as participants' adherence to the GPS study protocol. Finally, the dataset includes GPS data points from study participants. Data also includes objective and subjective neighborhood characteristics (e.g. perceived neighborhood-level social norms about sex and drugs).

    Subject
    Health Status
    Population Characteristics
    Geographic Coverage
    New York (City)
    Timeframe
    2014
  • New York City Low-Income Housing, Neighborhoods and Health Study
    NYU Dataset

    Authors
    Dustin Duncan
    Description

    Data was collected from 120 residents from low-income housing neigborhoods in New York City. Data includes pre- and post- surveys measuring the feasibility of using GPS methods to study obesity and hypertension, data measuring participant adherence to the GPS protocol, and qualitative interview data from 21 of the 120 participants. Other data collected includes Body Mass Index (BMI) and blood pressure health measures, sociodemographics, and 1,358,610 unique data points collected from participants. Data also includes objective and subjective neighborhood characteristics (e.g. perceived food environment, census block group median household income).

    Subject
    Health Status
    Population Characteristics
    Geographic Coverage
    New York (City)
    Timeframe
    2014