IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i12p1523-d121908.html
   My bibliography  Save this article

Prevalence of Self-Reported Diagnosed Cataract and Associated Risk Factors among Elderly South Africans

Author

Listed:
  • Nancy Phaswana-Mafuya

    (Office of the Deputy Vice Chancellor: Research and Innovation, North West University, Potchefstroom 2520, South Africa
    HIV/AIDS/STI/TB Research Programme, Human Sciences Research Council, Pretoria 0002, South Africa)

  • Karl Peltzer

    (HIV/AIDS/STI/TB Research Programme, Human Sciences Research Council, Pretoria 0002, South Africa
    Department of Research & Innovation, University of Limpopo, Turfloop 0727, South Africa)

  • Amelia Crampin

    (London School of Hygiene and Tropical Medicine, University of London, London WC1E 7HT, UK)

  • Edmund Ahame

    (HIV/AIDS/STI/TB Research Programme, Human Sciences Research Council, Pretoria 0002, South Africa
    Office of the Deputy Vice Chancellor for Research and Engagement, Nelson Mandela University, Port Elizabeth 6001, South Africa)

  • Zinhle Sokhela

    (HIV/AIDS/STI/TB Research Programme, Human Sciences Research Council, Pretoria 0002, South Africa)

Abstract

This paper estimates the prevalence of self-reported cataract and associated risk factors among individuals aged ≥50 years in South Africa. Data from a nationally-representative cross-sectional Study on Global AGEing and Adult Health (SAGE) ( N = 3646) conducted in South Africa from 2007–2008 was analyzed. The primary outcome was self-reported cataract, and exposures included socio-demographics, self-reported co-morbidities, and behavioral factors. Linearized multivariate logistic regression models were used. The weighted prevalence of self-reported diagnosed cataract was 4.4% (95%CI: 3.4–5.8). Prevalence was greater among individuals with advancing age (10.2%), higher quality of life (QoL) (5.9%), education (5.2%), and wealth (5.8%) than their counterparts. Prevalence was also higher among individuals with depression (17.5%), diabetes (13.3%), hypertension (9.1%), and stroke (8.4%) compared to those without these conditions, with the exception of obesity (4.2%). In the final multivariate model, the odds of self-reported cataract were: 4.14 times higher among people ≥70 years than 50 to 59 year olds (95%CI: 2.28–7.50); 2.48 times higher in urban than rural residents (95%CI: 1.25–4.92); 5.16, 2.99, and 1.97 times higher for individuals with depression (95%CI: 1.92–13.86), hypertension (95%CI: 1.60–5.59), and diabetes (95%CI: 1.07–3.61), compared to those without these conditions.

Suggested Citation

  • Nancy Phaswana-Mafuya & Karl Peltzer & Amelia Crampin & Edmund Ahame & Zinhle Sokhela, 2017. "Prevalence of Self-Reported Diagnosed Cataract and Associated Risk Factors among Elderly South Africans," IJERPH, MDPI, vol. 14(12), pages 1-11, December.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1523-:d:121908
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/12/1523/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/12/1523/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Supa Pengpid & Karl Peltzer & Hendry Van der Heever, 2011. "Prevalence of Alcohol Use and Associated Factors in Urban Hospital Outpatients in South Africa," IJERPH, MDPI, vol. 8(7), pages 1-11, June.
    2. Wei Wang & Xiulan Zhang, 2014. "Alcohol Intake and the Risk of Age-Related Cataracts: A Meta-Analysis of Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-8, September.
    3. Kim, Jaehoon & Kim, Sangsin, 2015. "2012년 국회법 개정의 효과 연구 [A Study on the Effect of the 2012 National Assembly Act Amendment]," KDI Research Monographs, Korea Development Institute (KDI), volume 127, number v:2015-03(k):y:2015:p:1-1.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bomi Nomlala, 2021. "Financial Socialisation of Accounting Students in South Africa," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(2), pages 01-15, April.
    2. Jonathan Knuckey & Myunghee Kim, 2020. "The Politics of White Racial Identity and Vote Choice in the 2018 Midterm Elections," Social Science Quarterly, Southwestern Social Science Association, vol. 101(4), pages 1584-1599, July.
    3. Obi K. Echendu & Imyhamy M. Dharmadasa, 2015. "Graded-Bandgap Solar Cells Using All-Electrodeposited ZnS, CdS and CdTe Thin-Films," Energies, MDPI, vol. 8(5), pages 1-20, May.
    4. Martin Gassebner & Jerg Gutmann & Stefan Voigt, 2016. "When to expect a coup d’état? An extreme bounds analysis of coup determinants," Public Choice, Springer, vol. 169(3), pages 293-313, December.
    5. Giuseppe A Zito & Roland Wiest & Selma Aybek, 2020. "Neural correlates of sense of agency in motor control: A neuroimaging meta-analysis," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-17, June.
    6. Young Bum Kim & Seung Hee Lee, 2022. "Gender Differences in Correlates of Loneliness among Community-Dwelling Older Koreans," IJERPH, MDPI, vol. 19(12), pages 1-11, June.
    7. Niki Koutrou, 2018. "The Impact of the 2010 Women’s Rugby World Cup on Sustained Volunteering in the Rugby Community," Sustainability, MDPI, vol. 10(4), pages 1-20, March.
    8. Seo-Hee Park & Byung-Jin Park & Dong-Hyuk Jung & Yu-Jin Kwon, 2019. "Association between Household Food Insecurity and Asthma in Korean Adults," IJERPH, MDPI, vol. 16(12), pages 1-11, June.
    9. Ebetürk, Irem, 2021. "Global diffusion of laws: The case of minimum age of marriage legislation, 1965–2015," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(3), pages 294-328.
    10. Mahendar Goli & Anoop Kumar Sahu & Surajit Bag & Pavitra Dhamija, 2023. "Users' Acceptance of Artificial Intelligence-Based Chatbots: An Empirical Study," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 19(1), pages 1-18, January.
    11. Yang Gyeong Yoo & Min Jeong Lee & Boas Yu & Mi Ra Yun, 2019. "The Effect of Mind Subtraction Meditation on Smartphone Addiction in School Children," Global Journal of Health Science, Canadian Center of Science and Education, vol. 11(10), pages 1-16, September.
    12. Mutlu Yuksel Avcilar & Akin Alkevli, 2017. "The Antecedents of Mobile Repurchasing Intentions: An Empirical Investigation among Turkish Mobile Shoppers," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 105-105, February.
    13. Qing-feng Ma & Chang-biao Chu & Hai-qing Song, 2015. "Intravenous versus Intra-Arterial Thrombolysis in Ischemic Stroke: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-13, January.
    14. Ya-Ling Lin & Wen-Yi Chen & Shwn-Huey Shieh, 2020. "Age Structural Transitions and Copayment Policy Effectiveness: Evidence from Taiwan’s National Health Insurance System," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    15. Randall Morck & Bernard Yeung, 2017. "East Asian Financial and Economic Development," NBER Working Papers 23845, National Bureau of Economic Research, Inc.
    16. Feng, Xuehao & Moon, Ilkyeong & Ryu, Kwangyeol, 2014. "Revenue-sharing contracts in an N-stage supply chain with reliability considerations," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 20-29.
    17. Anastasia Kazun & Anton Kazun, 2017. "A Friend Who Was Supposed to Lose: How Donald Trump Was Portrayed in the Russian Media?," HSE Working papers WP BRP 51/PS/2017, National Research University Higher School of Economics.
    18. Cristian Badarinza & John Y. Campbell & Tarun Ramadorai, 2016. "International Comparative Household Finance," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 111-144, October.
    19. Marie Neergaard Harder & Emil Vincent Rosenbaum Appel & Niels Grarup & Anette Prior Gjesing & Tarunveer S Ahluwalia & Torben Jørgensen & Cramer Christensen & Ivan Brandslund & Allan Linneberg & Thorki, 2015. "The Type 2 Diabetes Risk Allele of TMEM154-rs6813195 Associates with Decreased Beta Cell Function in a Study of 6,486 Danes," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    20. Hyemin Jeong & Young-Soo Chang & Sun Young Baek & Seon Woo Kim & Yeong Hee Eun & In Young Kim & Jaejoon Lee & Eun-Mi Koh & Hoon-Suk Cha, 2016. "Evaluation of Audiometric Test Results to Determine Hearing Impairment in Patients with Rheumatoid Arthritis: Analysis of Data from the Korean National Health and Nutrition Examination Survey," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-14, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1523-:d:121908. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.