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Vision problems in people over 50 years old in Peru: A population-based study

Original title: Problemas de visión en personas mayores de 50 años en el Perú: Estudio poblacional
  • Deivy Cruzado-Sanchez(corresponding author)
    ,
  • Christopher Ichiro-Peralta
    ,
  • Karla Loayza-Torres
    ,
  • Walter Andree-Tellez
    ,
*Corresponding author for this work
  • Universidad Privada San Juan Bautista
    ,
  • Sociedad Científica de Estudiantes de Medicina Villarrealinos
    ,
  • Universidad Nacional Federico Villarreal
    ,
Research Output:
Contribution to journal
Article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

Spanish

Pages from-to (Number of pages)

Pages 15-23 (9 pages)

Journal (Volume, Issue Number)

Acta Medica Peruana (Volume 39, Issue 1)

Publication milestones

  • Published - 2022

Publication status

Published - 2022

ISSN

1018-8800

Publication IDs

  • Scopus: 85182307361

Abstract

Objective: To evaluate the history of cataract and vision problems in people over 50 years of age in Peru. Methods: Secondary database analysis of the Demographic and Family Health Survey (ENDES) 2016. We included 7970 adults over 50 years of age. We evaluated the indicators of interest at the national and regional level. Likewise, we analyzed factors related to these events using a multivariate Poisson model. Results: 13.6% (95% CI: 12.8-14.3%) had a history of cataract, 20.4% (95%CI: 19.5-21.3%) had long-distance vision problems. (LDVP) and 29.4% (95%CI: 28.4-30.4%) of short-distance vision problems (SDVP). In the multivariate model, we observed that people with a history of high blood pressure, a history of diabetes, and older age groups were significantly more likely to report a history of cataracts and vision problems. We also observed that people with a better economic status had a lower frequency of LDVP and SDVP. Conclusion: The history of cataract and vision problems in the studied population vary according to sociodemographic and geographic characteristics. The identification of factors related to these events of interest allows us to propose better interventions to control these problems.

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  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well