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Multicenter Study
. 2018 Sep;27(9):776-784.
doi: 10.1097/IJG.0000000000000989.

Influence of Sociodemographic Factors on Disease Characteristics and Vision-related Quality of Life in Primary Open-angle Glaucoma Patients: The Italian Primary Open Angle Glaucoma Study (IPOAGS)

Collaborators, Affiliations
Multicenter Study

Influence of Sociodemographic Factors on Disease Characteristics and Vision-related Quality of Life in Primary Open-angle Glaucoma Patients: The Italian Primary Open Angle Glaucoma Study (IPOAGS)

Ivano Riva et al. J Glaucoma. 2018 Sep.

Abstract

Purpose: The purpose of this article was to evaluate the potential association between sociodemographic factors with clinical characteristics, vision-related quality of life (QoL), and glaucoma-related symptoms scores in a large cohort of primary open-angle glaucoma patients.

Materials and methods: Multicenter, cross-sectional study involving academic and nonacademic centers. Previously diagnosed primary open-angle glaucoma patients aged >18 years were enrolled. At baseline, information on demographic characteristics, social, medical and ocular history, clinical presentation and treatments was collected. Vision-related QoL was evaluated by means of the 25-item National Eye Institute Visual Function Questionnaire (NEI-VFQ-25), while glaucoma-related symptoms were evaluated using the Glaucoma Symptom Scale (GSS) questionnaire. The associations between sociodemographic factors with clinical characteristics (mean deviation, pattern standard deviation, best-corrected visual acuity), NEI-VFQ-25, and GSS scores were evaluated by means of univariate and multivariate general linear models.

Results: A total of 3227 patients were enrolled. Older age and male sex were significantly associated with lower mean deviation (P<0.01) and higher pattern standard deviation (P<0.01), whereas older age was associated with lower best-corrected visual acuity (P<0.01). The composite GSS score was related to age (P=0.02), sex (P<0.01), employment (P=0.01), and profession (P=0.04), while the total NEI-VFQ-25 score was associated with sex (P<0.01), marital status (P=0.02), and employment (P=0.02).

Conclusions: Age and sex were significantly associated with almost all indicators of glaucoma severity at baseline. Other variables, such as employment, profession, and marital status were significantly associated with vision-related QoL scores.

Trial registration: ClinicalTrials.gov NCT01742104.

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