Lack of Social Support and Social Trust as Potential Risk Factors for Dry Eye Disease: JPHC-NEXT Eye Study

2018 ◽  
Author(s):  
Chi Hoang Viet Vu ◽  
Miki Uchino ◽  
Motoko Kawashima ◽  
Akihiro Nishi ◽  
Christopher A. German ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Support ◽  
Dry Eye ◽  
Potential Risk ◽  
Social Trust ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Potential Risk Factors

Lack of social support and social trust as potential risk factors for dry eye disease: JPHC-NEXT study

2019 ◽  
Vol 17 (2) ◽  
pp. 278-284 ◽  
Author(s):  
Chi Hoang Viet Vu ◽  
Miki Uchino ◽  
Motoko Kawashima ◽  
Kenya Yuki ◽  
Kazuo Tsubota ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Support ◽  
Dry Eye ◽  
Potential Risk ◽  
Social Trust ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Potential Risk Factors

Incidence and risk factors of symptomatic dry eye disease in Asian Malays from the Singapore Malay Eye Study

2017 ◽  
Vol 15 (4) ◽  
pp. 742-748 ◽  
Author(s):  
Ryan E.K. Man ◽  
Anuradha R. Veerappan ◽  
Shu-Pei Tan ◽  
Eva K. Fenwick ◽  
Charumathi Sabanayagam ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease

scholarly journals Determination of Risk Factors and Treatment of Dry Eye Disease in Type 1 Diabetes Before Corneal Complications at Sindh Institute of Ophthalmology And Visual Sciences

2017 ◽  
Vol 11 (1) ◽  
pp. 355-361 ◽  
Author(s):  
Shehnilla Shujaat ◽  
Muhammad Jawed ◽  
Shahzad Memon ◽  
Khalid Iqbal Talpur
Keyword(s):  
Risk Factors ◽  
Type 1 Diabetes ◽  
Dry Eye ◽  
Tear Film ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Diabetic Patients ◽  
Dry Eyes ◽  
Department Of Ophthalmology

Objective: The objective of this study was to assess and determine the risk factors and treatment of dry eye disease in type 1 diabetes before any ocular surface or corneal complication occurs. This study was conducted at Sindh Institute of Ophthalmology And Visual Sciences, Hyderabad, Pakistan. Methodology: Subjects and methods for observational study were undertaken at the Department of Ophthalmology Sindh Institute Of Ophthalmology And Visual Sciences, Hyderabad, Pakistan. Hundred confirmed cases of type 1 diabetes were included in the study by non probability convenience sampling. Tear film breakup time and schrimer test were carried out to determine dry eye disease. Data was collected by self-prepared questionnaire and entered and analyzed by using Statistical Program for Social Sciences (SPSS, version 20.0). The frequencies and percentage were recorded and any associations with predisposing factors were statistically analyzed by t test. Results: Out of hundred patients, 71 (71%) were found to have dry eyes (P<0.001). The mean age of the subject in this study was 50.97 years (range 30-70 years). Old age was related to high risk of dry eye disease (P<0.001). There was no big difference in the incidence of dry eyes in males and females. Long duration was found to be related with increased occurrence of dry eyes (P<0.001). We found higher values for abnormal tear film break up time than schirmer test values leading to increased occurrence of evaporative dry eyes. Conclusion: There is marked increase in frequency/ risk of developing dry eye disease in type 1 diabetes patients. Therefore, it is recommended to have periodic ophthalmic examination for type 1 diabetic patients.

scholarly journals Prevalence and risk factors of dry eye disease among University Students in Bangkok, Thailand

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258217
Author(s):  
Chantaka Supiyaphun ◽  
Passara Jongkhajornpong ◽  
Sasivimol Rattanasiri ◽  
Kaevalin Lekhanont
Keyword(s):  
Risk Factors ◽  
University Students ◽  
Dry Eye ◽  
Contact Lens ◽  
Screen Time ◽  
Dry Eye Disease ◽  
Health Study ◽  
Eye Disease ◽  
Associated Risk Factors ◽  
Thai University

Purpose To investigate the prevalence of dry eye disease (DED) and its associated risk factors among Thai university students. Methods A cross-sectional study using an electronic survey was conducted in two Rajabhat universities in Bangkok, Thailand. The woman’s health study questionnaire was used to determine students with DED. The prevalence of DED along with 95% confidence interval (CI) were calculated. Logistic regression model was used to identify the associated risk factors. Results A total of 4,111 university students joined and completed the survey questionnaires. Mean age was 18.8 ± 1.1 years with female predominance (2874 students, 69.91%). Clinically diagnosed DED was reported in 136 students (3.31%), while severe symptoms of eye dryness and irritation were reported in 227 students (5.52%). The prevalence of DED among Thai university students was 8.15% (95% CI 7.33% to 9.02%). History of contact lens use and high screen time (> 8 hours per day) were reported in 868 students (21.11%) and 2101 students (51.11%), respectively. Male gender, contact lens use and high screen time were significantly associated with higher risk of DED with the adjusted ORs (95% CI) of 1.39 (1.09, 1.77), 2.49 (1.96, 3.17), and 1.43 (1.14, 1.80), respectively. Conclusions DED is not rare among Thai university students. Contact lens use and high screen time are two significant modifiable risk factors of DED in our students. These findings can raise awareness of DED in youth population and provide valuable information for public health promotion in university students.

Prevalence and risk factors of symptomatic dry eye disease in Lebanon

2020 ◽  
Vol 43 (4) ◽  
pp. 355-358
Author(s):  
Ahmed Sherry ◽  
Mona Aridi ◽  
Wissam Ghach
Keyword(s):  
Risk Factors ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease

scholarly journals Modifiable lifestyle risk factors for dry eye disease

2021 ◽  
Author(s):  
Michael T.M. Wang ◽  
Alex Muntz ◽  
Brinda Mamidi ◽  
James S. Wolffsohn ◽  
Jennifer P. Craig
Keyword(s):  
Risk Factors ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

scholarly journals Gout as a Risk Factor for Dry Eye Disease: A Population-Based Cohort Study

2019 ◽  
Vol 8 (1) ◽  
pp. 62 ◽  
Author(s):  
Chia-Yi Lee ◽  
Hung-Chi Chen ◽  
Chi-Chin Sun ◽  
Hung-Yu Lin ◽  
Ko-Hsiu Lu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Age Related Macular Degeneration ◽  
Eye Disease ◽  
Cumulative Probability ◽  
Control Group ◽  
Study Group ◽  
Research Database ◽  
Increased Risk

This study evaluated the effect of gout on the risk of dry eye disease (DED) by using the National Health Insurance Research Database (NHIRD). Data for 30,192 gout patients (21,081 men and 9111 women) and 30,192 non-gout patients (21,005 men and 9187 women) were analyzed. Approximately 1 million patients were randomly sampled from the NHIRD registry. After applying exclusion criteria, patients diagnosed with gout were enrolled in the study group. Thereafter, each individual in the study group underwent the matching process via the propensity score with another non-gout individual, which constituted the control group. The main outcome was defined as the development of DED in accordance with the corresponding International Classification of Diseases, Ninth Revision. In addition to DED, other risk factors including age, sex, and urbanization, and several co-morbidities were included in the multivariate model. The incidence of DED with the adjusted hazard ratio (aHR) and cumulative probability were evaluated in the gout and non-gout patients. A total of 2913 DED events were observed in the study group, whereas 2631 DED events were observed in the control group. A higher incidence rate ratio was found in the study group after adjustment (aHR: 1.065). Moreover, the cumulative probability indicated a significantly increased risk of DED in the study group (p = 0.001). The other potential risk factors of DED according to the multivariate analysis include older age, female gender, higher degree of urbanization, keratopathy, age-related macular degeneration, glaucoma, cataract, ischemic heart disease, hyperlipidemia, peripheral vascular disease, chronic pulmonary disease, rheumatic disease, peptic ulcer disease, liver disease, and malignancy. In conclusion, gout increased the risk of DED after adjustment, and the risk is positively correlated to a longer disease period.

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