Guoqiang Huang1, Laiwei Wu2, Lianghui Qiu1, Jiangfeng Lai1, Zhengying Huang3, Li'an Liao4. 1. Department of Ophthalmology, Meizhou People's Hospital China. 2. Department of Ophthalmology Center, Huizhou Municipal Central Hospital China. 3. Department of Traditional Chinese Medicine, Meizhou People's Hospital China. 4. Department of Invasive Technology, Meizhou People's Hospital China.
Abstract
BACKGROUND: Quantification of the association between the consumption of vegetables and risk of age-related cataract is still conflicting. We therefore conducted a meta-analysis to summarize the evidence from epidemiological studies of vegetables consumption with the risk of age-related cataract. METHODS: Pertinent studies were identified by searching of PubMed and Web of Science. The random effect model was used to combine the results. Meta-regression and subgroups analyses were used to explore potential sources of between-study heterogeneity. Publication bias was estimated using Egger's regression asymmetry test. RESULTS: Finally, 9 articles involving 6,464 cataract cases and 112,447 participants were included in this meta-analysis. Pooled results suggested that highest vegetables consumption level compared with lowest level was inverse with the risk of age-related cataract [summary relative risk (RR) = 0.723, 95% CI = 0.594-0.879, I(2) = 72.8%]. The associations were also significant in America [summary RR = 0.872, 95% CI = 0.791-0.960] and Europe [summary RR = 0.507, 95% CI = 0.416-0.619], but not in the other population. No publication bias was found. CONCLUSIONS: Higher vegetables consumption might be inversely associated with risk of cataract.
BACKGROUND: Quantification of the association between the consumption of vegetables and risk of age-related cataract is still conflicting. We therefore conducted a meta-analysis to summarize the evidence from epidemiological studies of vegetables consumption with the risk of age-related cataract. METHODS: Pertinent studies were identified by searching of PubMed and Web of Science. The random effect model was used to combine the results. Meta-regression and subgroups analyses were used to explore potential sources of between-study heterogeneity. Publication bias was estimated using Egger's regression asymmetry test. RESULTS: Finally, 9 articles involving 6,464 cataract cases and 112,447 participants were included in this meta-analysis. Pooled results suggested that highest vegetables consumption level compared with lowest level was inverse with the risk of age-related cataract [summary relative risk (RR) = 0.723, 95% CI = 0.594-0.879, I(2) = 72.8%]. The associations were also significant in America [summary RR = 0.872, 95% CI = 0.791-0.960] and Europe [summary RR = 0.507, 95% CI = 0.416-0.619], but not in the other population. No publication bias was found. CONCLUSIONS: Higher vegetables consumption might be inversely associated with risk of cataract.
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