Evidence map›Paper›PMID 42550417›Full record

Observational studyOphthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)2026

Subjective Accommodative Function and Defocus Curve Metrics in Phakic Adults Aged 45-65 Years.

Inas Baoud-Ould-Haddi, Águeda Sierra, Nuria Garzón, César Albarrán-Diego, Javier Vargas, María García-Montero

Abstract readObservational Study
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In one paragraph

Observational study in Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Inas Baoud-Ould-HaddiDpto. de Optometría y Visión, Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-2542-5131
Águeda SierraMacromolecular Structure, Centro Nacional de Biotecnología-CSIC, Madrid, Spain. aguesier@ucm.es.ORCID http://orcid.org/0009-0006-3976-0295
Nuria GarzónDpto. de Optometría y Visión, Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0002-6162-0081
César Albarrán-DiegoDpto. de Óptica y Optometría y Ciencias de la Visión, Universitat de València, Burjassot, Spain.ORCID http://orcid.org/0000-0001-8972-1784
Javier VargasMacromolecular Structure, Centro Nacional de Biotecnología-CSIC, Madrid, Spain.ORCID http://orcid.org/0000-0001-7519-6106
María García-MonteroDpto. de Optometría y Visión, Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0001-9753-1411

Funding

Agencia Estatal de Investigación PID2021-122486OA-I00Ministerio de Ciencia e Innovación CPP2021-008616 funded by MCIN/AEI /10.13039/501100011033
6 · The paper itself

Abstract

purposeTo evaluate accommodative amplitude (AA), accommodative lag (LAG) and defocus curve (DC) metrics in phakic adults aged 45-65 years, and investigate their relationships.

methodsObservational cross-sectional study including 77 subjects stratified into four age groups (G1-G4: 45-50, 51-55, 56-60 and 61-65 years, respectively). AA was measured using the push-up method and LAG at 40 cm and 66 cm using an open-field autorefractometer. Monocular DC were obtained and two summary metrics derived: area under the curve (AUC) and defocus cut-off at 0.20 logMAR. Differences among age groups were analysed using appropriate statistical tests, and regression models evaluated the predictive value of age and defocus cut-off for AA.

resultsAA decreased significantly with age (G1-G4: 2.41 ± 0.53, 2.13 ± 0.63, 1.61 ± 0.44 and 1.75 ± 0.73 D; p < 0.001), with higher values in younger (45-55 years) compared with older subjects (56-65 years) and no significant differences within each age cluster. LAG remained stable at both 40 cm (p = 0.27) and 66 cm (p = 0.50). DC metrics showed significant age-related changes, with reduced AUC and less defocus cut-off values in older groups (p < 0.001). AUC differed significantly between G1 and G4 and between G2 and G4, whereas defocus cut-off differed only between G2 and G4. Age (R² = 0.22) and defocus cut-off (R² = 0.09) had limited predictive value for AA.

conclusionAA and DC metrics decline with age, whereas LAG remains stable. Their weak association suggests that they reflect partially distinct aspects of visual function. DC analysis captures aspects of functional near visual performance that are not fully reflected by accommodative measurements alone, which may be useful for a more comprehensive characterisation of presbyopic visual function and for the evaluation of presbyopia-correcting interventions.

Indexed as

Accommodation, OcularAgingLens, CrystallinePresbyopiaRefraction, OcularVisual AcuityAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedAccommodationAccommodative amplitudeAccommodative lagOcular defocusPresbyopia

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.