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  • Osteoarthritis Initiative

    Alternate Title(s)
    OAI
    Description

    Four clinical centers participated in this 11 year, prospective observational study of knee osteoarthritis. The goal of the research was to identify biochemical, genetic, and imaging biomarkers associated with the development and progression of osteoarthritis. Evaluation of the cumulative data in comparison with structural and/or clinical outcomes is expected to provide insights into the prevention and treatment of the disease. Over the course of the study, data were collected from 4,796 subjects from over 431,000 clinical and imaging visits resulting in close to 26,626,000 images in the archive. Multiple datasets from this research include: Participant Information (demographic & cohort, measures inventory, outcomes); AllClinical Dataset (multiple datasets with subject risk factors, joint symptom/function, medical history, physical exam, nutrition, & biomarkers (summary of phlebotomy and urine specimen collection times)); Medication Inventory; Knee MR Image Assessments (quantitative cartilage morphometry, semi-quantitative scoring); Knee MRI Metaanalysis; Knee X-Ray Image Assessments; Knee X-Ray Metaanalysis; FNIH Project (post-processed OAI image data as well as serum and urine evaluations from a subset of one of the cohorts); Ancillary Studies (accelerometry measurements, Bone Quality MRI and DEXA measurements, Pivotal OAI MRI Analyses (POMA), and Skin Auto-Fluorescence (Sage) measurements).

    Subject
    Osteoarthritis
    Osteoarthritis, Knee
    Osteoarthritis/epidemiology
    Geographic Coverage
    United States
    Access Rights
    Registration required
    Local Experts
    Qoot Alkhubaizi

  • Prevalence, Control, and Treatment of Diabetes, Hypertension, and High Cholesterol in the Amish
    UMB Dataset

    Authors
    Braxton C. Mitchell
    Shisi He
    Kathleen A. Ryan
    Elizabeth A. Streeten
    11 more author(s)...
    Description

    Diabetes, hypertension, and hypercholesterolemia are three of the major risk factors for the development of cardiovascular disease (CVD), a leading cause of death in the United States. The burden of these disorders is not uniform across the country primarily due to socioeconomic status, cultural practices, and lifestyle. To evaluate the effect of these disparities, this study compared the prevalence of the 3 conditions in a subpopulation in the US with that of the general population. The Old Order Amish (OOA) community located in rural Pennsylvania is characterized by distinctive sociocultural practices that include a very cohesive social structure and limited use of modern technologies and medication. A total of 5377 OOA individuals took part in a community-wide survey which included a physical exam and fasting blood draw. The prevalence of the 3 risk factors in the Amish was then compared to the European Caucasian subsample of the 2013–2014 US National Health and Nutrition Examination Survey (NHANES). This dataset includes demographics, physical examination values, medication history, clinical measures associated blood pressure, cholesterol, and glucose, and statistical assessment and comparison data.

    Subject
    Amish
    Epidemiology
    Heart Disease Risk Factors
    Geographic Coverage
    United States

  • Social Capital during the First Wave of the COVID-19 Outbreak: The Case of the Island of Menorca
    UMB Dataset

    Authors
    Ester Villalonga-Olives
    Ichiro Kawachi
    Ildefonso Hernández-Aguado
    Description

    This dataset was created to understand the mechanisms through which social capital shaped the community response to the coronavirus pandemic on the island of Menorca, Spain. Data was collected through qualitative interviews of 25 permanent residents of the island between April and June of 2020. The age range of the participants was between 26 to 89 years old. The semi-structured interview guide had questions about pre-pandemic and pandemic emergency response and recovery events. Questions were developed to capture information on different indicators, including emergent forms of social capital, dark sides of social capital and trust.

    Subject
    COVID-19
    Social Capital
    Spain/epidemiology
    Geographic Coverage
    International
    Timeframe
    2020
    Access Rights
    Approval required