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Adjustment to vision loss in a mixed sample of adults with established visual impairment

journal contribution
posted on 2023-07-26, 13:15 authored by Daryl R. Tabrett, Keziah Latham
Purpose.: To determine factors associated with the level of adjustment to vision loss in a cross-sectional sample of adults with mixed visual impairment. Methods.: One hundred participants were administered the Acceptance and Self-Worth Adjustment Scale (AS-WAS) to assess adjustment to vision loss. The severity of vision loss was determined using binocular clinical visual function assessments including visual acuity, contrast sensitivity, reading performance, and visual fields. Key demographics including age, duration of visual impairment, general health, education, and living arrangements were evaluated, as were self-reported vision-related activity limitation (VRAL), depression, social support, and personality. Results.: Multivariate analysis showed that higher levels of depressive symptoms (β = −0.26, P < 0.01) and of the personality trait neuroticism (β = −0.33, P < 0.001), and lower levels of the personality trait of conscientiousness (β = 0.29, P < 0.01), were associated with poorer adjustment to vision loss, explaining 56% variance. Conclusions.: Adjustment to vision loss is significantly associated with depression and certain traits of personality (specifically neuroticism and conscientiousness), independent of the severity of vision loss, VRAL, and duration of vision loss. The results suggest certain individuals may be predisposed to exhibiting less adjustment to vision loss due to personality characteristics, and exhibit poorer adjustment owing to or as a consequence of depression, rather than due to other factors such as the onset and severity of visual impairment.

History

Refereed

  • Yes

Volume

53

Issue number

11

Page range

7227-7234

Publication title

Investigative Ophthalmology & Visual Science

ISSN

1552-5783

Publisher

ARVO

Language

  • other

Legacy posted date

2013-07-11

Legacy Faculty/School/Department

ARCHIVED Faculty of Science & Technology (until September 2018)

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