Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ)
LiLACS NZ investigates the health, social, cultural, and environmental status and predictors of successful advanced ageing of Māori and non-Māori individuals in advanced age in New Zealand. Participants at baseline included Māori who, in 2010, were aged between 80 and 90 years (born between 1 January, 1920 and 31 December, 1930) and non-Māori who were aged 85 years (born between 1 January and 31 December, 1925). Geographical boundaries of the District Health Boards of the Bay of Plenty and northern part of the Lakes areas were chosen as a stable population base and area of Māori communities. At baseline, the sample included 421 Māori participants and 516 non-Māori participants. The cohorts were followed up yearly and Wave 6 (5-year follow-up) began in 2015.
Study design
Cohort
Number of participants at first data collection
937 (participants)
Age at first data collection
80 - 90 years (participants)
Participant year of birth
1920 - 1930 (participants)
Participant sex
All
Representative sample at baseline?
For Māori participants, sex and age distribution matched the general population; and for non-Māori participants, more men were recruited than expected.
Sample features
Country
Year of first data collection
2010
Primary Institutions
Auckland University of Technology
Massey University
University of Auckland
University of Otago (Ōtākou Whakaihu Waka)
Profile paper DOI
Funders
Auckland Medical Research Foundation
Health Research Board (HRB)
Ministry of Health (Manatū Hauora)
New Zealand Heart Foundation
Ngā Pae o te Māramatanga
Ongoing?
Yes
Data types collected
- Activity log (e.g. food, sleep, exercise)
- 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)
- Secondary data
- Self-report questionnaire – paper or computer assisted
- Interviews or focus groups
- None
- Healthcare data
- Mortality data
Engagement
Keywords
Consortia and dataset groups
