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Dataset Directory: Dataset Profile

Dataset: National Health and Aging Trends Study (NHATS)

Basic Information
Dataset Full Name National Health and Aging Trends Study
Dataset Acronym NHATS
Summary The National Health and Aging Trends Study (NHATS) collects individual level information on a nationally representative sample of Medicare beneficiaries ages 65 and older through in-depth interviews. It is a longitudinal study that began in 2011 with yearly follow-up of each participant. NHATS is designed to collect data on late life trends, functional decline, and impact of disability on socio-economic dynamics of individual functioning, and burden on family and society. The data include a broad set of activities including self care, care giving, environment, technology usage, types of mobility device, early life status, household, income, medical, and participation in productive/social activities.
Key Terms Aging, Disability, Late-life functioning, Physical, Cognitive, Medical needs
Study Design Longitudinal
Data Type(s) Survey
Sponsoring Agency/Entity

National Institutes of Health (NIH)

National Institute on Aging (NIA)

Health Conditions/Disability Measures
Health Condition(s)

Alzheimer's/dementia, Anxiety disorders, Arthritis, Body mass index (BMI)/obesity, Cancer, Cardiovascular conditions, Chronic pain, Depression, Diabetes, Heart attack, Orthopedic conditions, Osteoporosis, Stroke

Disability Measures

ACS 6 question disability series, Ambulatory disability, Cognitive disability, Communication impairment, Functional limitations (ADLs and/or IADLs), Hearing disability, Independent living disability, Self-care disability, Special equipment use/assistive technology, Visual disability

Measures/Outcomes of Interest
Topics Housing and household, Self care, Participation, Physical/cognitive activities, Health status and conditions, Children and siblings, Environment, Environment modification, Community participation, Technology, Mobility device, Sensory impairment, Physical impairments, Sensory capacity, Physical capacity, Driving, Transportation, Self care activities, Medical care, Smoking, Labor force participation, Home ownership, Car ownership, Long-term care, Insurance, Income, Assets, Facility and caregiver information
Sample
Sample Population Medicare beneficiaries (65 years old or older)
Sample Size/Notes

2011 (Round 1): 8,245

2016 (Round 6): 7,276

Unit of Observation Individual
Continent(s) North America
Countries

United States

Geographic Coverage National
Geographic Specificity National
Special Population(s)

Aging/Older people

Data Collection
Data Collection Mode In-person interview
Years Collected 2011-present
Data Collection Frequency Annual
Strengths and Limitations
Strengths

The NHATS sample is drawn from the Medicare enrollment file, oversampling the oldest age groups and Black non-Hispanic persons. In 2011, 96% of persons ages 65 and older in the U.S. were Medicare beneficiaries.

Replenishment sampling planned for ongoing waves. Includes unique variables regarding environment, modification, accommodations, care giver burden, information on early life, and burden of disability on families, and society.

71% response rate (wave 1). Validated procedure between self-reported and performance-based measures.

Restricted data includes NHATS geographic data and Medicare data linked to NHATS sample person.

Limitations Very limited baseline biomarker data.
Data Details
Primary Website http://www.nhats.org/
Data Access

Public Use Dataset: https://www.nhatsdata.org/

Sensitive and Restricted Use Datasets: https://www.nhatsdata.org/ResDataFiles.aspx

Data Access Requirements

Public Use Dataset

Data Use Agreement, No Cost (sensitive and restricted use datasets)

Summary Tables/Reports

Construction of performance-based summary measures of physical capacity in the National Health and Aging Trends Study

https://www.nhats.org/sites/default/files/inline-files/NHATS_SPPB_Technical_Paper_Jul2013.pdf 

Data Components

Public Use Data:

Sample Person (SP) File - Sample Person survey and Facility Questionnaire (FQ) data

Tracker file - Tracks status of total sample for each round of surveys includes weights for differential non-response

Other Person (OP) file - each record represents a person identified in the SP file including proxy respondents, spouse/partner, household member, caretaker, social network member, etc.

Last Month of Life (LML) file – proxy respondent provides information about the deceased who died between interview rounds (Round 2 and beyond).

Pubic Use NHATS data can be linked to additional information including the following: Sensitive data: National Study of Caregivers, NHATS Sample Person

Sensitive Demographics file, NHATS Other Person (spouse/partner) Sensitive Demographic file

Restricted data files: linked Medicare data and geographic data

Selected Papers
Other Papers

Bibliography:
https://www.nhats.org/publications/search 

Technical

User Guide:
https://www.nhats.org/scripts/dataCollUserGuide.htm

Technical Papers:
https://www.nhats.org/scripts/TechnicalPapers.htm

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Contact Information

Northeast ADA Center
Yang-Tan Institute on Employment and Disability
Cornell University, ILR School
201 Dolgen Hall
Ithaca, NY 14853

Phone: 800-949-4232 (Voice, TTY & Spanish in New York, New Jersey, Puerto Rico and the US Virgin Islands)
In other areas: 607-255-6686 (Voice, TTY, Spanish)

Email: disabilitystatistics@cornell.edu

Accessibility Statement

About Us

The goal of the Northeast ADA Center is to educate and empower all ADA stakeholders throughout New York, New Jersey, Puerto Rico, and the US Virgin Islands to increase their knowledge of the ADA and to support them to include people with disabilities in local communities and to implement the ADA in their own lives, workplaces, businesses, and communities.

The Northeast ADA Center is a member of the ADA National Network funded by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR grant number 90DPAD0003). We provide information, guidance, and training on implementation of all aspects of the ADA. Our center is located at the Yang-Tan Institute at Cornell University’s ILR School. Our staff consists of individuals with and without disabilities who have extensive experience in the disability field.

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