Skip to main content

Advertisement

Log in

Association of age-related eye diseases with cognitive frailty in older adults: a population-based study

  • Original Article
  • Published:
Aging Clinical and Experimental Research Aims and scope Submit manuscript

Abstract

Background

Age-related eye diseases and cognitive frailty (CF) are both important predictors of adverse health outcomes in older adults, however, little is known about their association.

Aims

To demonstrate the association between age-related eye diseases and cognitive frailty in a population of Iranian older adults.

Methods

In this cross-sectional, population-based study, we included 1136 individuals (female n = 514) aged 60 years and older (mean 68.8 ± 6.7 years) who participated in the second cycle of the Amirkola Health and Aging Project (AHAP) between 2016 and 2017. Cognitive function and frailty were evaluated based on Mini-Mental State Examination (MMSE) and the FRAIL scale respectively. Cognitive frailty was defined as coexistence of cognitive impairment (CI) and physical frailty (PF), excluding confirmed cases of dementia such as Alzheimer’s disease. Cataract, diabetic retinopathy (DR), age-related macular degeneration (AMD), elevated intraocular pressure (IOP ≥ 21 mmHg) and glaucoma suspects (vertical cup to disc ratio (VCDR) ≥ 0.6) were diagnosed based on standardized grading protocols. Associations between eye diseases and cognitive frailty were evaluated through binary logistic regression analysis.

Results

Overall, CI, PF and CF were observed in 257 (22.6%), 319 (28.1%) and 114 (10.0%) participants respectively. After adjusting for confounders and ophthalmic conditions, individuals with cataract were more likely to have CF (OR 1.66; p-value 0.043), while DR, AMD, elevated IOP and glaucoma suspects (OR 1.32, 1.62, 1.42, 1.36, respectively) were not significantly associated with CF. Furthermore, cataract was significantly associated with CI (OR 1.50; p-value 0.022), but not with frailty (OR 1.18; p-value 0.313).

Conclusion

Older adults with cataract were more likely to have cognitive frailty and cognitive impairment. This association demonstrates the implications of age-related eye diseases beyond ophthalmology and substantiates the need for further research involving cognitive frailty in the context of eye diseases and visual impairment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data availability

The datasets used during the current study are available from the corresponding author on reasonable request.

References

  1. GBD 2019 Blindness and Vision Impairment Collaborators (2021) Vision Loss Expert Group of the Global Burden of Disease Study. Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study. Lancet Glob Health 9:e130–e143. https://doi.org/10.1016/S2214-109X(20)30425-3

  2. Flaxman SR, Bourne RRA, Resnikoff S et al (2017) Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis. Lancet Glob Health 5:e1221–e1234. https://doi.org/10.1016/S2214-109X(17)30393-5

    Article  PubMed  Google Scholar 

  3. GBD 2019 Blindness and Vision Impairment Collaborators (2021) Vision Loss Expert Group of the Global Burden of Disease Study. Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study [published correction appears in Lancet Glob Health 2021;9:e408]. Lancet Glob Health. 9:e144–e160. https://doi.org/10.1016/S2214-109X(20)30489-7

  4. Katibeh M, Behboudi H, Moradian S et al (2017) Rapid assessment of avoidable blindness and diabetic retinopathy in Gilan Province, Iran. Ophthalmic Epidemiol 24:381–387. https://doi.org/10.1080/09286586.2017.1307993

    Article  PubMed  Google Scholar 

  5. Hashemi H, Khabazkhoob M, Rezvan F (2022) Prevalence and causes of visual impairment and blindness in elderly population; an urgent geriatric health issue: Tehran Geriatric Eye Study (TGES). Ophthalmic Epidemiol. https://doi.org/10.1080/09286586.2022.2085304

    Article  PubMed  Google Scholar 

  6. Hashemi H, Khabazkhoob M, Nabovati P et al (2017) The prevalence of age-related eye disease in an elderly population. Ophthalmic Epidemiol 24:222–228. https://doi.org/10.1080/09286586.2016.1270335

    Article  PubMed  Google Scholar 

  7. Knudtson MD, Klein BE, Klein R (2006) Age-related eye disease, visual impairment, and survival: the Beaver Dam Eye Study. Arch Ophthalmol 124:243–249. https://doi.org/10.1001/archopht.124.2.243

    Article  PubMed  Google Scholar 

  8. Ehrlich JR, Ramke J, Macleod D et al (2021) Association between vision impairment and mortality: a systematic review and meta-analysis. Lancet Glob Health 9:e418–e430. https://doi.org/10.1016/S2214-109X(20)30549-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Verbeek E, Drewes YM, Gussekloo J (2022) Visual impairment as a predictor for deterioration in functioning: the Leiden 85-plus Study. BMC Geriatr. 22:397. https://doi.org/10.1186/s12877-022-03071-x

    Article  PubMed  PubMed Central  Google Scholar 

  10. Yuzawa M, Fujita K, Tanaka E et al (2013) Assessing quality of life in the treatment of patients with age-related macular degeneration: clinical research findings and recommendations for clinical practice. Clin Ophthalmol 7:1325–1332. https://doi.org/10.2147/OPTH.S45248

    Article  PubMed  PubMed Central  Google Scholar 

  11. Harrabi H, Kergoat MJ, Rousseau J et al (2015) Age-related eye disease and cognitive function. Invest Ophthalmol Vis Sci 56:1217–1221. https://doi.org/10.1167/iovs.14-15370

    Article  PubMed  Google Scholar 

  12. Ong SY, Cheung CY, Li X et al (2012) Visual impairment, age-related eye diseases, and cognitive function: the Singapore Malay Eye study. Arch Ophthalmol 130:895–900. https://doi.org/10.1001/archophthalmol.2012.152

    Article  PubMed  Google Scholar 

  13. Zheng DD, Swenor BK, Christ SL et al (2018) Longitudinal associations between visual impairment and cognitive functioning: The Salisbury eye evaluation study. JAMA Ophthalmol 136:989–995. https://doi.org/10.1001/jamaophthalmol.2018.2493

    Article  PubMed  PubMed Central  Google Scholar 

  14. Clemons TE, Rankin MW, McBee WL (2006) Age-related eye disease study research group. Cognitive impairment in the age-related eye disease study: AREDS report no. 16. Arch Ophthalmol 124:537–543. https://doi.org/10.1001/archopht.124.4.537

    Article  PubMed  Google Scholar 

  15. Chen SP, Bhattacharya J, Pershing S (2017) Association of vision loss with cognition in older adults. JAMA Ophthalmol 135:963–970. https://doi.org/10.1001/jamaophthalmol.2017.2838

    Article  PubMed  PubMed Central  Google Scholar 

  16. Vu TA, Gupta P, Leow FZY et al (2022) The longitudinal association between cognitive impairment and incident visual impairment in a multiethnic Asian population: a prospective cohort study. Age Ageing. https://doi.org/10.1093/ageing/afac107

    Article  PubMed  Google Scholar 

  17. Ehrlich JR, Swenor BK, Zhou Y et al (2021) The longitudinal association of vision impairment with transitions to cognitive impairment and dementia: findings from the aging, demographics and memory study. J Gerontol A Biol Sci Med Sci 76:2187–2193. https://doi.org/10.1093/gerona/glab157

    Article  PubMed  PubMed Central  Google Scholar 

  18. Nagarajan N, Assi L, Varadaraj V et al (2022) Vision impairment and cognitive decline among older adults: a systematic review. BMJ Open 12:e047929. https://doi.org/10.1136/bmjopen-2020-047929

    Article  PubMed  PubMed Central  Google Scholar 

  19. Swenor BK, Lee MJ, Tian J et al (2020) Visual impairment and frailty: examining an understudied relationship. J Gerontol A Biol Sci Med Sci 75:596–602. https://doi.org/10.1093/gerona/glz182

    Article  PubMed  Google Scholar 

  20. Shang X, Wu G, Wang W et al (2022) Associations of vision impairment and eye diseases with frailty in community-dwelling older adults: a nationwide longitudinal study in China. Br J Ophthalmol. https://doi.org/10.1136/bjo-2022-322048

    Article  PubMed  Google Scholar 

  21. Liljas AEM, Carvalho LA, Papachristou E et al (2017) Self-reported vision impairment and incident prefrailty and frailty in English community-dwelling older adults: findings from a 4-year follow-up study. J Epidemiol Community Health 71:1053–1058. https://doi.org/10.1136/jech-2017-209207

    Article  PubMed  Google Scholar 

  22. Varadaraj V, Lee MJ, Tian J et al (2019) Near vision impairment and frailty: evidence of an association. Am J Ophthalmol 208:234–241. https://doi.org/10.1016/j.ajo.2019.08.009

    Article  PubMed  PubMed Central  Google Scholar 

  23. Hanlon P, Nicholl BI, Jani BD et al (2018) Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493 737 UK Biobank participants. Lancet Public Health 3:e323–e332. https://doi.org/10.1016/S2468-2667(18)30091-4

    Article  PubMed  PubMed Central  Google Scholar 

  24. Crooke A, Martínez-Alberquilla I, Madrid-Costa D et al (2022) Presbyopia: An outstanding and global opportunity for early detection of pre-frailty and frailty states. Front Med (Lausanne). 9:968262. https://doi.org/10.3389/fmed.2022.968262

    Article  PubMed  PubMed Central  Google Scholar 

  25. Fukuoka H, Afshari NA (2017) The impact of age-related cataract on measures of frailty in an aging global population. Curr Opin Ophthalmol 28:93–97. https://doi.org/10.1097/ICU.0000000000000338

    Article  PubMed  Google Scholar 

  26. Klein R, Klein BE, Knudtson MD (2005) Frailty and age-related macular degeneration: the Beaver Dam Eye Study. Am J Ophthalmol 140:129–131. https://doi.org/10.1016/j.ajo.2004.12.049

    Article  PubMed  Google Scholar 

  27. Kelaiditi E, Cesari M, Canevelli M et al (2013) Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) International Consensus Group. J Nutr Health Aging 17:726–734. https://doi.org/10.1007/s12603-013-0367-2

    Article  CAS  PubMed  Google Scholar 

  28. Panza F, Lozupone M, Solfrizzi V et al (2018) Different cognitive frailty models and health- and cognitive-related outcomes in older age: from epidemiology to prevention. J Alzheimers Dis 62:993–1012. https://doi.org/10.3233/JAD-170963

    Article  PubMed  PubMed Central  Google Scholar 

  29. Kocagoncu E, Nesbitt D, Emery T et al (2022) Neurophysiological and brain structural markers of cognitive frailty differ from Alzheimer’s disease. J Neurosci 42:1362–1373. https://doi.org/10.1523/JNEUROSCI.0697-21.2021

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Solfrizzi V, Scafato E, Seripa D et al (2017) Reversible cognitive frailty, dementia, and all-cause mortality. The Italian longitudinal study on aging. J Am Med Dir Assoc 18:89.e1–89.e8. https://doi.org/10.1016/j.jamda.2016.10.012

  31. Shimada H, Doi T, Lee S et al (2018) Cognitive frailty predicts incident dementia among community-dwelling older people. J Clin Med. 7:250. https://doi.org/10.3390/jcm7090250

    Article  PubMed  PubMed Central  Google Scholar 

  32. Feng L, Zin Nyunt MS, Gao Q et al (2017) Cognitive frailty and adverse health outcomes: findings from the Singapore Longitudinal Ageing Studies (SLAS). J Am Med Dir Assoc 18:252–258. https://doi.org/10.1016/j.jamda.2016.09.015

    Article  PubMed  Google Scholar 

  33. McCormick I, Butcher R, Evans JR et al (2022) Effective cataract surgical coverage in adults aged 50 years and older: estimates from population-based surveys in 55 countries. Lancet Glob Health 10:e1744–e1753. https://doi.org/10.1016/S2214-109X(22)00419-3

    Article  CAS  PubMed  Google Scholar 

  34. Ramke J, Evans JR, Habtamu E et al (2022) Grand challenges in global eye health: a global prioritisation process using Delphi method. Lancet Healthy Longev 3:e31–e41. https://doi.org/10.1016/S2666-7568(21)00302-0

    Article  PubMed  PubMed Central  Google Scholar 

  35. Hosseini SR, Cumming RG, Kheirkhah F et al (2014) Cohort profile: the Amirkola health and ageing project (AHAP). Int J Epidemiol 43:1393–1400. https://doi.org/10.1093/ije/dyt089

    Article  PubMed  Google Scholar 

  36. Bijani A, Ghadimi R, Mikaniki E et al (2017) Cohort profile update: The Amirkola health and ageing project (AHAP). Caspian J Intern Med 8:205–212. https://doi.org/10.22088/cjim.8.3.205

    Article  PubMed  PubMed Central  Google Scholar 

  37. Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189–198. https://doi.org/10.1016/0022-3956(75)90026-6

    Article  CAS  PubMed  Google Scholar 

  38. Ansari NN, Naghdi S, Hasson S et al (2010) Validation of a mini-mental state examination (MMSE) for the Persian population: a pilot study. Appl Neuropsychol 17:190–195. https://doi.org/10.1080/09084282.2010.499773

    Article  PubMed  Google Scholar 

  39. Morley JE, Malmstrom TK, Miller DK (2012) A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging 16:601–608. https://doi.org/10.1007/s12603-012-0084-2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Ghanbarnia MJ, Panahi NM, Rasoulinejad SA et al (2023) Age-specific distribution of intraocular pressure in elderly Iranian population and its associated factors. Caspian J Intern Med 14:112–120. https://doi.org/10.22088/cjim.14.1.112

    Article  PubMed  PubMed Central  Google Scholar 

  41. Foster PJ, Buhrmann R, Quigley HA et al (2002) The definition and classification of glaucoma in prevalence surveys. Br J Ophthalmol 86:238–242. https://doi.org/10.1136/bjo.86.2.238

    Article  PubMed  PubMed Central  Google Scholar 

  42. Pakravan M, Javadi MA, Yazdani S et al (2017) Distribution of intraocular pressure, central corneal thickness and vertical cup-to-disc ratio in a healthy Iranian population: the Yazd Eye Study. Acta Ophthalmol 95:e144–e151. https://doi.org/10.1111/aos.13231

    Article  PubMed  Google Scholar 

  43. Thylefors B, Chylack LT Jr, Konyama K et al (2002) A simplified cataract grading system. Ophthalmic Epidemiol 9:83–95. https://doi.org/10.1076/opep.9.2.83.1523

    Article  CAS  PubMed  Google Scholar 

  44. Early Treatment Diabetic Retinopathy Study Research Group (1991) Grading diabetic retinopathy from stereoscopic color fundus photographs—an extension of the modified Airlie House classification. ETDRS report number 10. Ophthalmology 98(5 Suppl):786–806. https://doi.org/10.1016/S0161-6420(13)38012-9

  45. Wilkinson CP, Ferris FL 3rd, Klein RE et al (2003) Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. Ophthalmology 110:1677–1682. https://doi.org/10.1016/S0161-6420(03)00475-5

    Article  CAS  PubMed  Google Scholar 

  46. Ferris FL 3rd, Wilkinson CP, Bird A et al (2013) Clinical classification of age-related macular degeneration. Ophthalmology 120:844–851. https://doi.org/10.1016/j.ophtha.2012.10.036

    Article  PubMed  Google Scholar 

  47. Davis MD, Gangnon RE, Lee LY, et al (2005) The age-related eye disease study severity scale for age-related macular degeneration: AREDS Report No. 17 [published correction appears in Arch Ophthalmol 2006;124:289–90]. Arch Ophthalmol 123:1484–1498. https://doi.org/10.1001/archopht.123.11.1484

  48. Hwang PH, Longstreth WT Jr, Thielke SM et al (2021) Ophthalmic conditions associated with dementia risk: The Cardiovascular Health Study. Alzheimers Dement 17:1442–1451. https://doi.org/10.1002/alz.12313

    Article  PubMed  PubMed Central  Google Scholar 

  49. Shang X, Zhu Z, Huang Y et al (2023) Associations of ophthalmic and systemic conditions with incident dementia in the UK Biobank. Br J Ophthalmol 107:275–282. https://doi.org/10.1136/bjophthalmol-2021-319508

    Article  PubMed  Google Scholar 

  50. Vu TA, Fenwick EK, Gan ATL et al (2021) The bidirectional relationship between vision and cognition: a systematic review and meta-analysis. Ophthalmology 128:981–992. https://doi.org/10.1016/j.ophtha.2020.12.010

    Article  PubMed  Google Scholar 

  51. Pellegrini M, Bernabei F, Schiavi C et al (2020) Impact of cataract surgery on depression and cognitive function: Systematic review and meta-analysis. Clin Exp Ophthalmol 48:593–601. https://doi.org/10.1111/ceo.13754

    Article  PubMed  Google Scholar 

  52. Klein BE, Klein R, Knudtson MD (2006) Frailty and age-related cataract. Ophthalmology 113:2209–2212. https://doi.org/10.1016/j.ophtha.2006.04.035

    Article  PubMed  Google Scholar 

  53. Villani E, Marelli L, Bonsignore F et al (2020) The ocular surface frailty index as a predictor of ocular surface symptom onset after cataract surgery. Ophthalmology 127:866–873. https://doi.org/10.1016/j.ophtha.2019.12.012

    Article  PubMed  Google Scholar 

  54. Rivan NFM, Singh DKA, Shahar S et al (2021) Cognitive frailty is a robust predictor of falls, injuries, and disability among community-dwelling older adults. BMC Geriatr 21:593. https://doi.org/10.1186/s12877-021-02525-y

    Article  PubMed  PubMed Central  Google Scholar 

  55. Fong CS, Mitchell P, Rochtchina E et al (2013) Correction of visual impairment by cataract surgery and improved survival in older persons: the Blue Mountains Eye Study cohort. Ophthalmology 120:1720–1727. https://doi.org/10.1016/j.ophtha.2013.02.009

    Article  PubMed  Google Scholar 

Download references

Funding

No funding was received to assist with the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

MJG was involved in conception and design of the study, data analysis and interpretation, writing and reviewing the manuscript. SRH was involved in design, data analysis and interpretation and revising the manuscript. SAR, MG, GAR and EM were involved in ophthalmological clinical examinations, data acquisition and interpretation. RG and AB were involved in design, data acquisition. All authors take responsibility for the content of the manuscript. All authors revised and reviewed the manuscript and approved the final version to be published.

Corresponding author

Correspondence to Seyed Ahmad Rasoulinejad.

Ethics declarations

Conflict of interest

All authors declare they have no conflict of interest to disclose.

Ethics approval

Study protocol adhered to the tenets of declaration of Helsinki and it was approved by the ethics committee of Babol University of Medical Sciences.

Informed consent

All participants were informed about the study and provided written informed consent.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ghanbarnia, M.J., Hosseini, S.R., Ghasemi, M. et al. Association of age-related eye diseases with cognitive frailty in older adults: a population-based study. Aging Clin Exp Res 35, 1731–1740 (2023). https://doi.org/10.1007/s40520-023-02458-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40520-023-02458-z

Keywords

Navigation