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Puerto Rican Elderly: Health Conditions Project (PREHCO Project)
Puerto Rican Elderly: Health Conditions Project logo
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Sample details

The PREHCO Project aims to investigate the health and social conditions of elderly individuals in Puerto Rico. Initially, the study involved 4,291 participants aged 60 and over, along with 1,442 of their spouses, recruited from across the island. Follow-up of participants has occured two times since the first data collection between 2002 and 2003, with the second wave conducted between 2006 and 2007, with 3,891 participants and 1,260 of their spouses. The third wave took place from 2021 to 2022, innvolving 958 participants, either directly or through an informant proxy.

Study design
Cohort

Number of participants at first data collection

4,291 (participants)

1,442 (spouses)

Age at first data collection

Varied (spouses)

≥ 60 years (participants)

Participant year of birth

Varied (participants)

Varied (spouses)

Participant sex
All

Representative sample at baseline?
The elderly population of Puerto Rico.

Sample features

Family members
Older and elderly people
Dataset details
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Countries

Puerto Rico, United States of America

Year of first data collection

2002

Primary Institutions

University of Alabama at Birmingham (UAB)

University of Puerto Rico (Universidad de Puerto Rico, UPR)

University of Wisconsin-Madison

Links

prehco.rcm.upr.edu/

icpsr.umich.edu/web/DSDR/studies/34596/versions/V1

icpsr.umich.edu/web/DSDR/studies/39091/datadocumentation

portal.dementiasplatform.com.au/crs-directory/prehco

Profile paper DOI
Not available

Funders

Department of Health and Human Services (HHS)

National Institute on Aging (NIA)

National Institutes of Health (NIH)

Ongoing?
No

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – face-to-face
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Geographic, spatial & environmental data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Ageing
    Anthropometry
    Chronic illness
    Cognitive ageing and decline
    Elderly
    Environmental factors
    Healthcare access and use
    Households
    Population health
    Psychosocial factors
    Socioeconomics
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