data access pilot project (dapp) mei-hua huang, drph sharon stein merkin, phd core directors: gail...

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

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Data Access Pilot Project Data Access Pilot Project (DAPP)(DAPP)

Mei-Hua Huang, DMei-Hua Huang, DrPHrPH

Sharon Stein Merkin, PhDSharon Stein Merkin, PhD

Core Directors:Core Directors: Gail Greendale, MD, Arun Karlamangla, PhD, MD Gail Greendale, MD, Arun Karlamangla, PhD, MD Teresa Seema, PhDTeresa Seema, PhD

DAPP Faculty:DAPP Faculty: Mei-Hua Huang, DrPHMei-Hua Huang, DrPH

Sharon Stein Merkin, PhDSharon Stein Merkin, PhD

Weijuan Han, MSWeijuan Han, MS

Funded by the Older Americans Independence Center (OAIC)Funded by the Older Americans Independence Center (OAIC)

Why DAPP?Why DAPP?

Why DAPP?Why DAPP?

Personal Data ShopperPersonal Data Shopper

Tailor to your study needsTailor to your study needs How do you get your data?How do you get your data? Guidance/adviceGuidance/advice EfficiencyEfficiency

Introductions to DAPP FacultyIntroductions to DAPP Faculty

Mei-Hua Huang, DrPH, Mei-Hua Huang, DrPH,

Nutritional EpidemiologyNutritional Epidemiology

Sharon Stein Merkin, PhD, Sharon Stein Merkin, PhD,

Social EpidemiologySocial Epidemiology

Study ImplementationStudy Implementation

Study Hypothesis

Data Study Design

Analysis

Publication

Example using Public Data- Example using Public Data- NHANESNHANES

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 ProposalExample of Data Requiring Proposal- SWAN- SWAN

Study Hypothesis

Data Study 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 DAPPServices of DAPPResearch guidance/consultingResearch guidance/consulting

Guidance in implementing study hypothesesGuidance in implementing study hypotheses Identifying relevant datasetsIdentifying relevant datasets Assistance with data accessAssistance with data access

Available onlineAvailable 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)Request to Study PI (e.g., PEPI)

Guidance in navigating datasetsGuidance in navigating datasets ContactsContacts Analysis services*Analysis services*

*Minimal, potential analyst time depending on funding*Minimal, potential analyst time depending on funding

Dataset ListDataset ListStudyStudy Study DesignStudy Design

Study of Women's Health Across the Nation Study of Women's Health Across the Nation (SWAN)(SWAN)

Longitudinal Longitudinal cohortcohort

Postmenopausal Estrogen/Progestin Postmenopausal Estrogen/Progestin Interventions (PEPI)Interventions (PEPI)

Clinical trialClinical trial

Osteoporotic Fractures in Men (MrOS) StudyOsteoporotic Fractures in Men (MrOS) Study Longitudinal Longitudinal cohortcohort

Study of Osteoporotic Fractures (SOF)Study of Osteoporotic Fractures (SOF) Longitudinal Longitudinal cohortcohort

Rancho Bernardo StudyRancho Bernardo Study Longitudinal Longitudinal cohortcohort

Yoga Empowers Seniors Study (YESS)Yoga Empowers Seniors Study (YESS) Clinical trialClinical trial

Yoga for Kyphosis TrialYoga for Kyphosis Trial Clinical trialClinical trial

Dataset ListDataset ListStudyStudy Study DesignStudy Design

National Health and Nutrition Examination National Health and Nutrition Examination Survey (NHANES)Survey (NHANES)

Cross-sectionalCross-sectional

Multiethnic Study of Atherosclerosis (MESA)Multiethnic Study of Atherosclerosis (MESA) Longitudinal Longitudinal cohortcohort

Midlife in the United States (MIDUS)Midlife in the United States (MIDUS) Longitudinal Longitudinal cohortcohort

Coronary Artery Disease Risk Development in Coronary Artery Disease Risk Development in Young Adults (CARDIA) StudyYoung Adults (CARDIA) Study

Longitudinal Longitudinal cohortcohort

Atherosclerosis Risk in Communities (ARIC) Atherosclerosis Risk in Communities (ARIC) StudyStudy

Longitudinal Longitudinal cohortcohort

Cardiovascular Health Study (CHS)Cardiovascular Health Study (CHS) Longitudinal Longitudinal cohortcohort

Health and Retirement Study (HRS)Health and Retirement Study (HRS) Longitudinal Longitudinal cohortcohort

MIDUS: Midlife in the United MIDUS: Midlife in the United StatesStates

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

MIDUS: Midlife in the United MIDUS: Midlife in the United StatesStates

MIDUS 1 MIDUS II

Project 1 n=7108

Phone/SAQ

Demographics, Psychosocial, Medical history

n=5555

Phone/SAQ

Demographics, Psychosocial, Medical history

Project 2 Daily Diary

n=2022

Project 3 Cognition

n=4518

Project 4 Biomarkers

n=1255

CHS: Cardiovascular Health CHS: Cardiovascular Health StudyStudy

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

CHS: Cardiovascular Health CHS: Cardiovascular Health StudyStudy

Base yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10 yr11

Self-rated health

x x x x x x x x x X

Education x

Income x x x x

Depression x x x x x x x x x x

Phlebotomy x x x x x

Nutrition x x

AA cohort

ARIC: Atherosclerosis Risk in ARIC: Atherosclerosis Risk in CommunitiesCommunities

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 visitsBaseline: 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

ARIC: Atherosclerosis Risk in ARIC: Atherosclerosis Risk in CommunitiesCommunities

CARDIA: Coronary Artery Risk CARDIA: Coronary Artery Risk in Young Adultsin 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

CARDIA: Coronary Artery Risk CARDIA: Coronary Artery Risk in Young Adultsin Young Adults

MESA: Multi-Ethnic Study of MESA: Multi-Ethnic Study of AtherosclerosisAtherosclerosis

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

MESA: Multi-Ethnic Study of MESA: Multi-Ethnic Study of AtherosclerosisAtherosclerosis

Exam 1 Exam 2 Exam 3 Exam 4 Exam 5

N=6814 N=6232 N=5939 N=5704 N=4651

Personal/ Medical Hx/ Psychosocial

X X X X X

Family Hx X

Sleep Hx X X A2500

Residential/neighborhood X

Occupation/employment X X X

Physical Activity X X X X

Food Frequency (Diet) X X

Anthropometry X X X X X

Phlebotomy collection X X X X X

Urine collection X X X X

Genotyping X

Cognitive Function X

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 42-52 years at least 1 menstrual period in prior 3 mo a member of each site's racial/ethnic group

Participants3,302 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 DAPPHow to get started using DAPP

Contact :

Dr. Huang ([email protected]) or Dr. Merkin ([email protected])

Dataset Information http://geronet.ucla.edu/dapp

Complete a pre-consultation survey