Economic Hardship, Ocular Complications, and Poor Self-reported Visual Function are Predictors of Mental Problems in Patients with Uveitis

ABSTRACT

Purpose: To characterize the quality of life and mental health status of patients with uveitis and investigate predictors of psychological problems.

Methods: A total of 245 patients and 105 controls were enrolled in this cross-sectional study. Quality of life, psychological status, socio-demographic and clinical data were obtained from questionnaires and medical records. Multivariate regression analyses and Receiver Operating Characteristic (ROC) were applied to obtain the model predicting psychological problems of patients.

Results: Of 245 patients, 16.7% and 26.5% (P< .0001) screened positive for anxiety and depression, respectively. The model predicting anxiety was comprised of low annual household income and poor self-reported visual function (P= .029,P< .0001, respectively), with an AUC of ROC of 0.744. The model predicting depression was comprised of poor self-reported visual function and ocular complications (P< .0001, P= .012, respectively), with an AUC of 0.78.

Conclusions: Economic hardship, ocular complications, and poor self-reported visual function are predictors of mental problems in patients with uveitis.

KEYWORDS:

• Quality of life
• mental health
• depression
• anxiety
• uveitis
• predictors

Acknowledgments

The authors thank all individuals participated in the study.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Contributors

YW, YJ: conception and design. YJ, MJ, RL,: execution of the study. YJ, JZ, YMY: analysis and interpretation of data. YJ, DL: drafting the article. YW, YJ, XFH, MLD, YLW, XFZ: revising it critically for important intellectual content. YW, YJ, XFH: final approval of the version to be published.

Ethics approval

Review committee of Wenzhou Medical University.

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [31771390]; Wenzhou Science and Technology Foundation [Y20160457]; Innovation Research Program of the Eye Hospital [YNCX201608]; General Program of the Eye Hospital [YNKT201601]; Wenzhou Science and Technology Foundation [Y20190625]; Zhejiang Provincial Natural Science Foundation of China [LQ20H180006].