Literature DB >> 31221669

Gender differences in blindness, cataract blindness and cataract surgical coverage in India: a systematic review and meta-analysis.

Manya Prasad1, Sumit Malhotra2, Mani Kalaivani3, Praveen Vashist4, Sanjeev K Gupta1.   

Abstract

BACKGROUND: The magnitude of blindness is unevenly distributed worldwide. This systematic review aimed to study gender differences in the prevalence of blindness, cataract blindness and cataract surgical coverage in India among persons aged 50 years and above.
METHODS: Literature search was carried out in the Medline, Web of Science, Google Scholar, EMBASE and Trip databases. Data were abstracted and risk of bias was assessed for the selected full-text articles. Pooled prevalence, ORs and risk differences were synthesised by meta-analyses.
RESULTS: 22 studies were included in the systematic review. The pooled prevalence of blindness obtained for men was 4.17% and that for women was 5.68%. Women had 35% higher odds of being blind (OR 1.35, 95% CI 1.08 to 1.62) and 69% higher odds of being cataract blind (OR 1.69, 95% CI 1.44 to 1.95). Women had a 27% lower odds of getting cataract surgery (OR 0.73, 95% CI 0.45 to 1.01). In women, around 35% of the prevalence of blindness and 33% of the prevalence of cataract blindness are attributable to their gender.
CONCLUSION: Marked gender differences in blindness, cataract blindness and cataract surgical coverage were seen in India, with the odds being unfavourable for women. Interventions implemented for reduction of blindness, including cataract blindness, need to consider these gender differentials in the Indian context. Further research is needed to ascertain the reasons for these differences and devise interventions to reduce these differences in order to tackle the magnitude of avoidable blindness in India. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology; public health

Year:  2019        PMID: 31221669     DOI: 10.1136/bjophthalmol-2018-313562

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  6 in total

Review 1.  Female Gender Remains a Significant Barrier to Access Cataract Surgery in South Asia: A Systematic Review and Meta-Analysis.

Authors:  Qunru Ye; Yanxian Chen; William Yan; Wei Wang; Jingxian Zhong; Cong Tang; Andreas Müller; Bo Qiu
Journal:  J Ophthalmol       Date:  2020-01-11       Impact factor: 1.909

2.  Are we advancing universal health coverage through cataract services? Protocol for a scoping review.

Authors:  Chan Ning Lee; Jacqueline Ramke; Ian McCormick; Justine H Zhang; Ada Aghaji; Nyawira Mwangi; Helen Burn; Iris Gordon; Mayinuer Yusufu; Mingguang He; Juan Carlos Silva; Matthew J Burton
Journal:  BMJ Open       Date:  2020-07-08       Impact factor: 2.692

3.  Prevalence and sociodemographic factors associated with vision difficulties in Ghana, Gambia, and Togo: a multi-country analysis of recent multiple Indicator cluster surveys.

Authors:  Abdul-Aziz Seidu; Pascal Agbadi; Precious Adade Duodu; Nutifafa Eugene Yaw Dey; Henry Ofori Duah; Bright Opoku Ahinkorah
Journal:  BMC Public Health       Date:  2021-11-24       Impact factor: 3.295

4.  Vision centre helps reduce blindness and vision impairment. Proof of concept in a four-year longitudinal study in an urban area in India.

Authors:  Parikshit M Gogate; Supriya P Phadke; Taraprasad Das; Shrivallabh Sane; Soumya Moosa; Ashok Dhangar; Minhaj Inamdar; Rajiv Khandekar; Renu Magdum; Jitendra S Bhawalkar; Kashinath Bhoosnurmath
Journal:  Indian J Ophthalmol       Date:  2022-05       Impact factor: 2.969

5.  Prevalence and risk factors for cataracts in the Lao People's Democratic Republic: The Vientiane Eye Study.

Authors:  Brad Guo; Yiran Tan; Stephen Nygaard; Cesar Carrillo; Kham Od Nouansavanh; Kitar Souksamone; Robert J Casson
Journal:  Indian J Ophthalmol       Date:  2022-05       Impact factor: 2.969

6.  Epidemiological profiles and associated risk factors of SARS-CoV-2 positive patients based on a high-throughput testing facility in India.

Authors:  Sumit Malhotra; Manju Rahi; Payal Das; Rini Chaturvedi; Jyoti Chhibber-Goel; Anup Anvikar; Hari Shankar; C P Yadav; Jaipal Meena; Shalini Tewari; Sudha V Gopinath; Reba Chhabra; Amit Sharma
Journal:  Open Biol       Date:  2021-06-02       Impact factor: 6.411

  6 in total

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