Evidence map›Paper›PMID 39448221›Full record

ArticleBMJ open2024

The Understanding America Study (UAS).

Arie Kapteyn, Marco Angrisani, Jill Darling, Tania Gutsche

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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  7. Tracking quality of life-related outcomes in the U.S. population with monthly PROMIS computerized adaptive testing.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
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  10. Examination of Total Hours of Volunteering or Informal Helping Among Older Adults and Risk of Future Functional Disability Using Data From a Large Panel Study.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2026
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  19. Older Age Is Associated with Fewer Depression and Anxiety Symptoms Following Extreme Weather Adversity.International journal of environmental research and public health · 2025
    Article
  20. Local cost of living, financial literacy, and housing hardship at older ages.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Arie KapteynCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA kapteyn@usc.edu.ORCID http://orcid.org/0000-0002-1855-5528
Marco AngrisaniCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.ORCID http://orcid.org/0000-0002-6084-6388
Jill DarlingCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Tania GutscheCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
NIA NIH HHS U01 AG077280
6 · The paper itself

Abstract

purposeThe Understanding America Study (UAS) is a probability-based Internet panel housed at the Center for Economic and Social Research at the University of Southern California (USC). The UAS serves as a social and health sciences infrastructure for collecting data on the daily lives of US families and individuals. The collected information includes survey data, DNA from saliva samples, information from wearables, contextual and administrative linkages, ecological momentary assessments, self-recorded narratives and electronic records of financial transactions. The information collected focuses on a defining challenge of our time-identifying factors explaining racial, ethnic, geographic and socioeconomic disparities over the life course, including racial discrimination, inequalities in access to education and healthcare, differences in physical, economic and social environments, and, more generally, the various opportunities and obstacles one encounters over the life course. The UAS infrastructure aims to optimise engagement with the wider research community both in data dissemination and in soliciting input on content and methods. To encourage input from the research community, we have reserved 100 000 min of survey time per year for outside researchers, who can propose to add survey questions four times a year.

participantsThe UAS currently comprises about 15 000 US residents (including a 3500-person California oversample) recruited by Address-Based Sampling and provided with Internet-enabled tablets if needed. Surveys are conducted in English and Spanish. FINDINGS TO DATE: Since the founding of the UAS in 2014, we have conducted more than 600 surveys, including a sequence of surveys collecting biennial information on health and retirement (the complete Health and Retirement Study instrument), 11 cognitive assessments, personality, knowledge and use of information on Social Security programme rules, work disability and subjective well-being. Several hundreds of papers have been published based on the collected data in the UAS. Studies include documentations of the mental health effects of the COVID-19 pandemic and how this varied across socioeconomic groups; comparisons of physical activity measured with accelerometers and by self-reports showing the dramatic biases in the latter; extensive studies have shown the power of using paradata in gauging cognitive change over time; several messaging experiments have shown the effectiveness of information provision on the quality of decision-making affecting well-being at older ages. FUTURE PLANS: The UAS national sample is planned to grow to 20 000 respondents by 2025, with subsamples of about 2500 African American, 2000 Asian and 3000 Hispanic participants and an oversample of rural areas. An increasing amount of non-interview data (contextual information, data from a suite of wearables and administrative linkages) is continually being added to the data files.

Indexed as

COVID-19AdultAgedCaliforniaFemaleHumansMaleMiddle AgedSARS-CoV-2Socioeconomic FactorsSurveys and QuestionnairesUnited StatesAgingCaregiversHealth SurveysInformation technologyInternetSurveys and Questionnaires

Identifiers

PMID39448221
PMCPMC11499792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.