Study title
Northern Ireland Cohort for the Longitudinal Study of Ageing: Wave 1, 2013-2016
Creator
Study number / PID
8604 (UKDA)
10.5255/UKDA-SN-8604-1 (DOI)
Data access
Restricted
Series
Abstract
Abstract copyright UK Data Service and data collection copyright owner.
The Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA) which started in 2013, as the largest public health study in Northern Ireland, aims to explore how certain social, economic and biological factors are changing the lives of older people. Collecting extensive information on all aspects of health, financial and social circumstances from people aged 50 and over it seeks to understand the dynamic relationships between these and ultimately influence in making Northern Ireland a good place to grow old in. NICOLA is unique not only in its comprehensive data collection but also with its capture of experiences specific to Northern Ireland.
Further information about the study can be found on the Queen's Univerity Belfast NICOLA webpages.
Main Topics:
The study covers demographics, employment, health and healthcare use, work and pension, social participation and capital.
Topics
Keywords
Methodology
Data collection period
10/12/2013 - 30/06/2016
Country
Time dimension
Analysis unit
Universe
NICOLA recruited a random sample of 8478 people aged fifty years and over who were living in their homes in Northern Ireland. Spouses or partners of participants, who shared their residency, were also invited to participate regardless of their age.
Sampling procedure
Kind of data
Data collection mode
Access
Publisher
UK Data Service
Publication year
2020
Terms of data access
The Data Collection is available to UK Data Service registered users subject to the End User Licence Agreement.
Access is limited to applicants based in HE/FE institutions, for not-for-profit education and research purposes only.
Related publications
- Quinn, N., Chakravarthy, U., Muldrew, K., Hamill, B., McGuinness, B., Young, I., Kee, F. and Hogg, R. (2018) 'Confocal infrared imaging with optical coherence tomography provides superior detection of a number of common macular lesions compared to colour fundus photography', Ophthalmic & Physiological Optics, 10.1111/opo.12592..
- Lengyel, I., Csutak, A., Florea, D., Leung, I., Bird, A., Jonasson, F. and Peto, T. (2015) 'A population-based ultra-widefield digital image grading study for age-related macular degeneration-like lesions at the peripheral retina', Ophthalmology, 10.1016/j.ophtha.2015.03.005.
- Pennington, K. and DeAngelis, M. (2016) 'Epidemiology of age-related macular degeneration (AMD): associations with cardiovascular disease phenotypes and lipid factors', Eye and Vision, 10.1186/s40662-016-0063-5.
- Quinn, N., Azuara-Blanco, A., Graham, K., Young, I., Kee, F. and Hogg, R. (2017) 'Can ultra-wide field retinal imaging replace colour digital stereoscopy for glaucoma detection?', Ophthalmic Epidemiology, 10.1080/09286586.2017.1351998.
- Graham, K., Chakravarthy, U., Hogg, R., Muldrew, K., Young, I. and Kee, F. (2018) 'Identifying features of early and late age-related macular degeneration: a comparison of multicolor versus traditional color fundus photography', RETINA, 0.1097/IAE.0000000000001777.