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Data Access Pilot Project (DAPP)

Data Access Pilot Project (DAPP). Mei-Hua Huang, D rPH Sharon Stein Merkin, PhD. Core Directors: Gail Greendale, MD, Arun Karlamangla, PhD, MD Teresa Seema, PhD DAPP Faculty: Mei-Hua Huang, DrPH Sharon Stein Merkin, PhD Weijuan Han, MS

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Data Access Pilot Project (DAPP)

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  1. Data Access Pilot Project (DAPP) Mei-Hua Huang, DrPH Sharon Stein Merkin, PhD Core Directors: Gail Greendale, MD, Arun Karlamangla, PhD, MD Teresa Seema, PhD DAPP Faculty: Mei-Hua Huang, DrPH Sharon Stein Merkin, PhD Weijuan Han, MS Funded by the Older Americans Independence Center (OAIC)

  2. Why DAPP?

  3. Why DAPP? • Personal Data Shopper • Tailor to your study needs • How do you get your data? • Guidance/advice • Efficiency

  4. Introductions to DAPP Faculty • Mei-Hua Huang, DrPH, Nutritional Epidemiology • Sharon Stein Merkin, PhD, Social Epidemiology

  5. Study Implementation Study Hypothesis Data Study Design Analysis Publication

  6. Example using Public Data- NHANES Is education associated with awareness, treatment and control of hypertension? • STUDY DESIGN • Cross sectional • Multiple waves? • Defining exposure and • outcome • Analysis plan • DATA • Potential overlap in the literature • Obtain data • weighting/survey design issues • unique to NHANES Analysis Publication

  7. Example of Data Requiring Proposal- SWAN Study Hypothesis Data Study Design • Potential overlap • Request data access • Submit concept proposal to publication committee • Analysis Analysis Abstract, poster and manuscript submittedto publication committee Time consuming: minimum months Publication

  8. Services of DAPPResearch guidance/consulting • Guidance in implementing study hypotheses • Identifying relevant datasets • Assistance with data access • Available online • Public data (e.g., NHANES) • Non-public (e.g., SWAN) • Request to Study PI (e.g., PEPI) • Guidance in navigating datasets • Contacts • Analysis services* *Minimal, potential analyst time depending on funding

  9. Dataset List

  10. Dataset List

  11. MIDUS: Midlife in the United States • Longitudinal cohort study • Main objective: psychosocial, behavioral, sociodemographic correlates with aging • n=7108; ages 24-74 years • MIDUS 1: White (88%), AA (6%), Other (6%) • MIDUS 2: White (80%), AA (15%), Other (5%) • 2 visits • MIDUS 1: 1994-1995; MIDUS 2: 2005-2006 (including new Milwaukee participants) • Recruited from across the U.S. • Access: public, download from ICPSR website

  12. MIDUS: Midlife in the United States

  13. CHS: Cardiovascular Health Study • Longitudinal cohort study • Main objective: study determinants of cardiovascular disease • n=5888; ages 65+ years; White (81%) AA (16%) Other (3%) • 10 exams • Baseline: 1989; yearly follow-up through 1999. • AA cohort initiated study in 1992 • Recruited from 4 US communities • Access: proposal and approval from CHS

  14. CHS: Cardiovascular Health Study AA cohort

  15. ARIC: Atherosclerosis Risk in Communities • Longitudinal cohort study • Main objective: investigate the cause of atherosclerosis and its clinical outcomes • n=15,792; ages 45-64 years; White (73%)Non-White (27%)5 visits • Baseline: 1987-1989; Visit 2: 1990-1992; Visit 3: 1993-1995; Visit 4: 1996-1998; Visit 5: 2009-2011 • Recruited from 4 US communities • Access: proposal and approval from ARIC

  16. ARIC: Atherosclerosis Risk in Communities

  17. CARDIA: Coronary Artery Risk in Young Adults • Longitudinal cohort study • Main objective: study determinants of subclinical cardiovascular disease • n=5115; ages 18-30 years; White (50%) AA (50%) • 8 visits • Baseline: 1985-1986, Visit 2: 1987-88, Visit 3: 1990-91, Visit 4: 1992-93, Visit 5: 1995-96, Visit 6: 2000-01, Visit 7: 2005-6, Visit 8: 2010-11 • Recruited from 4 US communities • Access: proposal and approval from CARDIA

  18. CARDIA: Coronary Artery Risk in Young Adults

  19. MESA: Multi-Ethnic Study of Atherosclerosis • Longitudinal cohort study • Main objective: study determinants of subclinical cardiovascular disease • n=6814; ages 45-84 years; White (38%) AA (28%) Chinese (12%) and Hispanic (22%) • 5 exams • Baseline: 2000-2002; Exam 2: 2002-2004; Exam 3: 2004-2005; Exam 4: 2005-2007; Exam 5: 2010-2012 • Recruited from 6 US communities • Access: proposal and approval from MESA

  20. MESA: Multi-Ethnic Study of Atherosclerosis

  21. Study of Women’s Health Across the Nation (SWAN) • Multi-center, multi-ethnic, community based longitudinal study • Characterize the biological, symptomatic, and psychosocial changes that occur during the MT • Understand the effects of these changes on women's health during and after the MT

  22. SWAN Overview: Cohort Eligibility • aged 42-52 years • at least 1 menstrual period in prior 3 mo • a member of each site's racial/ethnic group Participants 3,302 women at 7 clinical sites • 1550 Caucasian [all sites] • 935 African American [Chicago, Pittsburgh, Boston, Detroit] • 286 Hispanic [NJ] • 250 Chinese [Davis] • 281 Japanese [LA]

  23. SWAN Overview: Data Collection Schedule

  24. SWAN Ancillary Studies • Fat Patterning (Diabetes Risk) • Functional Status • Hip Strength • Mammographic Density • Mental Health • Phytoestrogens • Sleep • Subclincial Atherosclerosis (SWAN Heart)

  25. How to get started using DAPP • Contact : Dr. Huang (mhuang@mednet.ucla.edu) or Dr. Merkin (smerkin@mednet.ucla.edu) • Dataset Information http://geronet.ucla.edu/dapp • Complete a pre-consultation survey

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