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Busselton Baby Boomer Study (BBBS)
Busselton Baby Boomer Study logo
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Sample details

The BBBS is a longitudinal study designed to comprehensively characterise chronic disease in a community sample of ‘baby boomers’ (adults born 1946 to 1964) living in the Busselton Shire, Western Australia. A total of 5,107 baby boomers participated in the first phase (baseline) study in 2010-2015, known as the Busselton Healthy Ageing Study (BHAS). These 5,107 participants represent a 76% participation rate in the City of Busselton. The cohort are followed-up every 3-5 years.

Study design
Cohort - birth

Number of participants at first data collection

5,107 (participants)

Age at first data collection

46 - 64 years (participants)

Participant year of birth

1946 - 1964 (participants)

Participant sex
All

Representative sample at baseline?
All non-institutionalised baby boomers (born 1946 to 1964) who currently live in the Busselton Shire and are listed on the electoral roll.

Sample features

Community-based sample
Older and elderly people
Dataset details

Country

Australia

Year of first data collection

2010

Primary Institutions

Busselton Population Medical Research Institute

University of Western Australia (UWA)

Links

bpmri.org.au/research/key-projects-studies/busselton-baby-boomer-study.html

neurodegenerationresearch.eu/cohort/the-busselton-healthy-ageing-study/

Funders

City of Busselton

Curtin University

Department of Health, Government of Western Australia

Ear Science Institute Australia

Lions Hearing Foundation of Western Australia

Ongoing?
Yes

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)
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Self-report questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Medical birth registry
  • Mortality data
  • Other government data
Features

Engagement

  • Community engagement
  • Participant or community advisory groups
  • Keywords

    Ageing
    Biological samples/biospecimens
    Chronic illness
    Cognitive function
    Disease progression
    Elderly
    Environmental factors
    Genetics
    Lifestyle factors
    Mental health
    Physical health
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