Data Access Pilot Project (DAPP) Mei-Hua Huang, DrPH Sharon Stein Merkin, PhD Core Directors: Gail Greendale, MD, Arun Karlamangla, PhD, MD Teresa Seema,

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Presentation transcript:

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)

Why DAPP?

 Personal Data Shopper  Tailor to your study needs  How do you get your data?  Guidance/advice  Efficiency

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

Study Implementation Study Hypothesis DataStudy Design Analysis Publication

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

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

Services of DAPP Research guidance/consulting  Guidance in implementing study hypotheses  Identifying relevant datasets  Assistance with data access  Available online Public data (e.g., NHANES) Public data (e.g., NHANES) Non-public (e.g., SWAN) 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

Dataset List Study Study Design Study of Women's Health Across the Nation (SWAN) Longitudinal cohort Postmenopausal Estrogen/Progestin Interventions (PEPI) Clinical trial Osteoporotic Fractures in Men (MrOS) Study Longitudinal cohort Study of Osteoporotic Fractures (SOF) Longitudinal cohort Rancho Bernardo Study Longitudinal cohort Yoga Empowers Seniors Study (YESS) Clinical trial Yoga for Kyphosis Trial Clinical trial

Dataset List Study Study Design National Health and Nutrition Examination Survey (NHANES) Cross-sectional Multiethnic Study of Atherosclerosis (MESA) Longitudinal cohort Midlife in the United States (MIDUS) Longitudinal cohort Coronary Artery Disease Risk Development in Young Adults (CARDIA) Study Longitudinal cohort Atherosclerosis Risk in Communities (ARIC) Study Longitudinal cohort Cardiovascular Health Study (CHS) Longitudinal cohort Health and Retirement Study (HRS) Longitudinal cohort

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

MIDUS: Midlife in the United States MIDUS 1MIDUS II Project 1n=7108 Phone/SAQ Demographics, Psychosocial, Medical history n=5555 Phone/SAQ Demographics, Psychosocial, Medical history Project 2Daily Diary n=2022 Project 3Cognition n=4518 Project 4Biomarkers n=1255

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   AA cohort initiated study in 1992   Recruited from 4 US communities   Access: proposal and approval from CHS

CHS: Cardiovascular Health Study Baseyr3yr4yr5yr6yr7yr8yr9yr10yr11 Self-rated health xxxxxxxxxX Educationx Incomexxxx Depressionxxxxxxxxxx Phlebotomyxxxxx Nutritionxx AA cohort

ARIC: Atherosclerosis Risk in Communities   Longitudinal cohort study   Main objective: investigate the cause of atherosclerosis and its clinical outcomes   n=15,792; ages years; White (73%) Non-White (27%) 5 visits   Baseline: ; Visit 2: ; Visit 3: ; Visit 4: ; Visit 5:   Recruited from 4 US communities   Access: proposal and approval from ARIC

ARIC: Atherosclerosis Risk in Communities

CARDIA: Coronary Artery Risk in Young Adults   Longitudinal cohort study   Main objective: study determinants of subclinical cardiovascular disease   n=5115; ages years; White (50%) AA (50%)   8 visits   Baseline: , Visit 2: , Visit 3: , Visit 4: , Visit 5: , Visit 6: , Visit 7: , Visit 8:   Recruited from 4 US communities   Access: proposal and approval from CARDIA

CARDIA: Coronary Artery Risk in Young Adults

MESA: Multi-Ethnic Study of Atherosclerosis   Longitudinal cohort study   Main objective: study determinants of subclinical cardiovascular disease   n=6814; ages years; White (38%) AA (28%) Chinese (12%) and Hispanic (22%)   5 exams   Baseline: ; Exam 2: ; Exam 3: ; Exam 4: ; Exam 5:   Recruited from 6 US communities   Access: proposal and approval from MESA

MESA: Multi-Ethnic Study of Atherosclerosis Exam 1Exam 2Exam 3Exam 4Exam 5 N=6814N=6232N=5939N=5704N=4651 Personal/ Medical Hx/ Psychosocial XXXXX Family HxX Sleep HxXX A 2500 Residential/neighborhoodX Occupation/employmentXXX Physical ActivityXXXX Food Frequency (Diet)XX AnthropometryXXXXX Phlebotomy collectionXXXXX Urine collectionXXXX GenotypingX Cognitive FunctionX

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

SWAN Overview: Cohort Eligibility  aged 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]

SWAN Overview: Data Collection Schedule

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

How to get started using DAPP   Contact : Dr. Huang or Dr. Merkin   Dataset Information   Complete a pre-consultation survey