Adam J Paulsen1, Karen J Cruickshanks2, Mary E Fischer3, Guan-Hua Huang4, Barbara E K Klein3, Ronald Klein3, Dayna S Dalton3. 1. Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin. Electronic address: paulsen@episense.wisc.edu. 2. Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin; Department of Population Health Sciences, University of Wisconsin, Madison, Wisconsin. 3. Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin. 4. Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan.
Abstract
PURPOSE: To estimate dry eye prevalence in the Beaver Dam Offspring Study (BOSS), including a young adult population, and investigate associated risk factors and impact on health-related quality of life. DESIGN: Cohort study. METHODS: The BOSS (2005-2008) is a study of aging in the adult offspring of the population-based Epidemiology of Hearing Loss Study cohort. Questionnaire data on health history, medication use, risk factors, and quality of life were available for 3275 participants. Dry eye was determined by self-report of frequency of symptoms and the intensity of those symptoms. Associations between dry eye and risk factors were analyzed using logistic regression. RESULTS: The prevalence of dry eye in the BOSS was 14.5%: 17.9% of women and 10.5% of men. In a multivariate model, statistically significant associations were found with female sex (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.33-2.11), current contact lens use (OR, 2.01; 95% CI, 1.53-2.64), allergies (OR, 1.59; 95% CI, 1.22-2.08), arthritis (OR, 1.44; 95% CI, 1.12-1.85), thyroid disease (OR, 1.43; 95% CI, 1.02-1.99), antihistamine use (OR, 1.54; 95% CI, 1.18-2.02), and steroid use (OR, 1.54; 95% CI, 1.16-2.06). Dry eye was also associated with lower scores on the Medical Outcomes Study Short Form 36 (β = -3.9, P < .0001) as well as on the National Eye Institute 25-Item Visual Function Questionnaire (NEI VFQ-25) (β = -3.4, P < .0001) when controlling for age, sex, and comorbid conditions. CONCLUSIONS: The prevalence of dry eye and its associated risk factors in the BOSS were similar to previous studies. In this study, dry eye was associated with lower quality of life on a health-related quality-of-life instrument and the vision-specific NEI VFQ-25.
PURPOSE: To estimate dry eye prevalence in the Beaver Dam Offspring Study (BOSS), including a young adult population, and investigate associated risk factors and impact on health-related quality of life. DESIGN: Cohort study. METHODS: The BOSS (2005-2008) is a study of aging in the adult offspring of the population-based Epidemiology of Hearing Loss Study cohort. Questionnaire data on health history, medication use, risk factors, and quality of life were available for 3275 participants. Dry eye was determined by self-report of frequency of symptoms and the intensity of those symptoms. Associations between dry eye and risk factors were analyzed using logistic regression. RESULTS: The prevalence of dry eye in the BOSS was 14.5%: 17.9% of women and 10.5% of men. In a multivariate model, statistically significant associations were found with female sex (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.33-2.11), current contact lens use (OR, 2.01; 95% CI, 1.53-2.64), allergies (OR, 1.59; 95% CI, 1.22-2.08), arthritis (OR, 1.44; 95% CI, 1.12-1.85), thyroid disease (OR, 1.43; 95% CI, 1.02-1.99), antihistamine use (OR, 1.54; 95% CI, 1.18-2.02), and steroid use (OR, 1.54; 95% CI, 1.16-2.06). Dry eye was also associated with lower scores on the Medical Outcomes Study Short Form 36 (β = -3.9, P < .0001) as well as on the National Eye Institute 25-Item Visual Function Questionnaire (NEI VFQ-25) (β = -3.4, P < .0001) when controlling for age, sex, and comorbid conditions. CONCLUSIONS: The prevalence of dry eye and its associated risk factors in the BOSS were similar to previous studies. In this study, dry eye was associated with lower quality of life on a health-related quality-of-life instrument and the vision-specific NEI VFQ-25.
Authors: Rhett M Schiffman; John G Walt; Gordon Jacobsen; John J Doyle; Gary Lebovics; Walton Sumner Journal: Ophthalmology Date: 2003-07 Impact factor: 12.079
Authors: Ee-Munn Chia; Paul Mitchell; Elena Rochtchina; Anne J Lee; Rita Maroun; Jie Jin Wang Journal: Clin Exp Ophthalmol Date: 2003-06 Impact factor: 4.207
Authors: Carolyn G Begley; Robin L Chalmers; Linda Abetz; Kitty Venkataraman; Polyxane Mertzanis; Barbara A Caffery; Christopher Snyder; Timothy Edrington; Daniel Nelson; Trefford Simpson Journal: Invest Ophthalmol Vis Sci Date: 2003-11 Impact factor: 4.799
Authors: Penny A Asbell; Maureen G Maguire; Maxwell Pistilli; Gui-shuang Ying; Loretta B Szczotka-Flynn; David R Hardten; Meng C Lin; Roni M Shtein Journal: N Engl J Med Date: 2018-04-13 Impact factor: 91.245
Authors: Mark D P Willcox; Pablo Argüeso; Georgi A Georgiev; Juha M Holopainen; Gordon W Laurie; Tom J Millar; Eric B Papas; Jannick P Rolland; Tannin A Schmidt; Ulrike Stahl; Tatiana Suarez; Lakshman N Subbaraman; Omür Ö Uçakhan; Lyndon Jones Journal: Ocul Surf Date: 2017-07-20 Impact factor: 5.033
Authors: Loretta B Szczotka-Flynn; Maureen G Maguire; Gui-Shuang Ying; Meng C Lin; Vatinee Y Bunya; Reza Dana; Penny A Asbell Journal: Optom Vis Sci Date: 2019-06 Impact factor: 1.973