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Socioeconomic risk factors and age-related macular degeneration in the UK Biobank study

Authors :
Martin McKibbin
Tariq Aslam
Sarah Barman
Jenny Barrett
Paul Bishop
Peter Blows
Catey Bunce
Roxana Carare
Usha Chakravarthy
Michelle Chan
David Crabb
Philippa Cumberland
Alexander Day
Parul Desai
Bal Dhillon
Andrew Dick
Cathy Egan
Sarah Ennis
Marcus Fruttiger
John Gallacher
Jane Gibson
Dan Gore
Jeremy Guggenheim
Chris Hammond
Alison Hardcastle
Simon Harding
Ruth Hogg
Pirro Hysi
Anthony Khawaja
Gerassimos Lascaratos
Andrew Lotery
Phil Luthert
Tom Macgillivray
Sarah Mackie
Keith Martin
Michelle Mcgaughey
Bernadette Mcguinness
Danny Mitry
Tony Moore
James Morgan
Zaynah Muthy
Chris Owen
Praveen Patel
Euan Paterson
Tunde Peto
Axel Petzold
Jugnoo Rahi
Alicja Rudnicka
Jay Self
Sobha Sivaprasad
David Steel
Irene Stratton
Nicholas Strouthidis
Cathie Sudlow
Caroline Thaung
Dhanes Thomas
Emanuele Trucco
Adnan Tufail
Veronique Vitart
Stephen Vernon
Ananth Viswanathan
Jayne Woodside
Max Yates
Yalin Zheng
Cathy Williams
Paul J Foster
Katie Williams
David Garway-Heath
Eoin O'Sullivan
Jennifer Lai Yee Yip
Sharon Chua
Pearse Keane
Sir Khaw
Source :
BMJ Open Ophthalmology, Vol 6, Iss 1 (2021)
Publication Year :
2021
Publisher :
BMJ Publishing Group, 2021.

Abstract

Objective There is contrasting evidence on the relationship between socioeconomic status (SES) and age-related macular degeneration (AMD), the most common cause of visual impairment (VI) in developed countries. This study examines the relationship between SES, cardiovascular risk factors and self-reported AMD.Methods and analysis Over 500000 people participated in the UK Biobank study from 2006 to 2019, with sociodemographic data and clinical measurements collected using standardised procedures. Visual acuity was measured in 117907 participants with VI defined as LogMAR ≤0.3. We used logistic regression to examine the cross-sectional associations between SES and self-reported AMD.Results Self-reported AMD was available for 133339 participants aged 50 and older. People reporting AMD had higher academic qualifications, lower income, were unable to work due to disability, have higher BMI, diabetes and vascular heart disease after adjusting for age and sex. In a multivariable analysis, higher income was protective of AMD and economic inactivity due to disability increased the odds of AMD (2.02, 95% CI 1.13 to 3.61). Both associations were independent of cardiovascular factors, but was no longer significant after adjusting for VI.Conclusions The association between education, employment and household income with AMD was independent of cardiovascular risk factors.

Subjects

Subjects :
Ophthalmology
RE1-994

Details

Language :
English
ISSN :
20200005 and 23973269
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMJ Open Ophthalmology
Publication Type :
Academic Journal
Accession number :
edsdoj.2446a6ee5a0a4c9584159ccf2510c64e
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjophth-2020-000585