TY - JOUR
T1 - BCLA CLEAR Presbyopia: Epidemiology and impact
AU - Markoulli, M.
AU - Fricke, T.R.
AU - Arvind, A.
AU - Frick, K.D.
AU - Joshi, M.R.
AU - Kandel, H.
AU - Filipe Macedo, A.
AU - Makrynioti, D.
AU - Retallic, N.
AU - Garcia-Porta, N.
AU - Shrestha, G.
AU - Wolffsohn, J.S.
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/4/8
Y1 - 2024/4/8
N2 - The global all-ages prevalence of epidemiologically-measured ‘functional’ presbyopia was estimated at 24.9% in 2015, affecting 1.8 billion people. This prevalence was projected to stabilise at 24.1% in 2030 due to increasing myopia, but to affect more people (2.1 billion) due to population dynamics. Factors affecting the prevalence of presbyopia include age, geographic location, urban versus rural location, sex, and, to a lesser extent, socioeconomic status, literacy and education, health literacy and inequality. Risk factors for early onset of presbyopia included environmental factors, nutrition, near demands, refractive error, accommodative dysfunction, medications, certain health conditions and sleep. Presbyopia was found to impact on quality-of-life, in particular quality of vision, labour force participation, work productivity and financial burden, mental health, social wellbeing and physical health. Current understanding makes it clear that presbyopia is a very common age-related condition that has significant impacts on both patient-reported outcome measures and economics. However, there are complexities in defining presbyopia for epidemiological and impact studies. Standardisation of definitions will assist future synthesis, pattern analysis and sense-making between studies.
AB - The global all-ages prevalence of epidemiologically-measured ‘functional’ presbyopia was estimated at 24.9% in 2015, affecting 1.8 billion people. This prevalence was projected to stabilise at 24.1% in 2030 due to increasing myopia, but to affect more people (2.1 billion) due to population dynamics. Factors affecting the prevalence of presbyopia include age, geographic location, urban versus rural location, sex, and, to a lesser extent, socioeconomic status, literacy and education, health literacy and inequality. Risk factors for early onset of presbyopia included environmental factors, nutrition, near demands, refractive error, accommodative dysfunction, medications, certain health conditions and sleep. Presbyopia was found to impact on quality-of-life, in particular quality of vision, labour force participation, work productivity and financial burden, mental health, social wellbeing and physical health. Current understanding makes it clear that presbyopia is a very common age-related condition that has significant impacts on both patient-reported outcome measures and economics. However, there are complexities in defining presbyopia for epidemiological and impact studies. Standardisation of definitions will assist future synthesis, pattern analysis and sense-making between studies.
KW - Age
KW - Impact of presbyopia
KW - Patient-reported outcome measures
KW - Presbyopia prevalence
KW - Quality of life
KW - Questionnaire
KW - Risk factors
KW - Urban
UR - https://www.scopus.com/pages/publications/85189802286
UR - https://www.scopus.com/pages/publications/85189802286
UR - https://pearl.plymouth.ac.uk/hp-research/520/
U2 - 10.1016/j.clae.2024.102157
DO - 10.1016/j.clae.2024.102157
M3 - Article
SN - 1367-0484
VL - 47
JO - Contact Lens and Anterior Eye
JF - Contact Lens and Anterior Eye
IS - 4
M1 - 102157
ER -