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Objectively measured far vision impairment and sarcopenia among adults aged ≥ 65 years from six low- and middle-income countries

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Abstract

Background

There are currently no studies on visual impairment and sarcopenia. We investigated the cross-sectional association between objectively measured far vision impairment and sarcopenia in a nationally representative sample of older adults aged 65 years and over from six low- and middle-income countries (LMICs).

Methods

Cross-sectional, community-based data from the study on global ageing and adult health (SAGE) were analyzed. Far vision acuity was measured using the tumbling E LogMAR chart and classified as: no vision impairment (6/12 or better); mild vision impairment (6/18 or better but worse than 6/12); moderate vision impairment (6/60 or better but worse than 6/18); severe vision impairment (worse than 6/60). Sarcopenia was defined as having low skeletal muscle mass and either a slow gait speed or a weak handgrip strength. Associations were assessed with multivariable logistic regression.

Results

Fourteen thousand five hundred and eighty five individuals aged ≥ 65 years were included in the analysis [mean (SD) age 72.6 (11.5) years; 54.1% females]. After adjustment for multiple potential confounders, compared to those with no vision impairment, the OR (95% CI) for sarcopenia in those with mild, moderate, and severe vision impairment were 1.10 (0.87–1.40), 1.69 (1.25–2.27), and 3.38 (1.69–6.77), respectively. The estimates for females and males were similar.

Conclusions

The odds for sarcopenia increased with increasing severity of far vision impairment among older people in LMICs. The mere co-occurrence of these conditions is concerning, and it may be prudent to implement interventions to address/prevent sarcopenia in those with far vision impairment through the promotion of physical activity and appropriate nutrition.

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Availability of data and materials

Data are available from https://www.who.int/healthinfo/sage/en/

References

  1. Rosenberg IH (1997) Sarcopenia: origins and clinical relevance. J Nutr 127:990S-991S

    CAS  PubMed  Google Scholar 

  2. Shafiee G, Keshtkar A, Soltani A et al (2017) Prevalence of sarcopenia in the world: a systematic review and meta-analysis of general population studies. J Diabetes Metab Disord 16:21

    PubMed  PubMed Central  Google Scholar 

  3. Veronese N, Demurtas J, Soysal P et al (2019) Sarcopenia and health-related outcomes: an umbrella review of observational studies. Eur Geriatr Med 10:853–862

    PubMed  Google Scholar 

  4. Beaudart C, Rizzoli R, Bruyère O et al (2014) Sarcopenia: burden and challenges for public health. Arch Public Health 72:45

    PubMed  PubMed Central  Google Scholar 

  5. Volpato S, Bianchi L, Cherubini A et al (2014) Prevalence and clinical correlates of sarcopenia in community-dwelling older people: application of the EWGSOP definition and diagnostic algorithm. J Gerontol A Biol Sci Med Sci 69:438–446

    CAS  PubMed  Google Scholar 

  6. Lima DP, de Almeida SB, Bonfadini JDC et al (2020) Clinical correlates of sarcopenia and falls in Parkinson’s disease. PLoS ONE 15:e0227238

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Trajanoska K, Schoufour JD, Darweesh SK et al (2018) Sarcopenia and its clinical correlates in the general population: the Rotterdam study. J Bone Miner Res 33:1209–1218

    PubMed  Google Scholar 

  8. Granic A, Sayer AA, Robinson SM (2019) Dietary patterns, skeletal muscle health, and sarcopenia in older adults. Nutrients 11:745

    PubMed Central  Google Scholar 

  9. Mijnarends DM, Koster A, Schols JM et al (2016) Physical activity and incidence of sarcopenia: the population-based AGES—Reykjavik study. Age Ageing 45:614–620

    PubMed  PubMed Central  Google Scholar 

  10. Rubin GS, Roche KB, Prasada-Rao P et al (1994) Visual impairment and disability in older adults. Optom Vis Sci 71:750–760

    CAS  PubMed  Google Scholar 

  11. Rudberg MA, Furner SE, Dunn JE et al (1993) The relationship of visual and hearing impairments to disability: an analysis using the longitudinal study of aging. J Gerontol 48:M261–M265

    CAS  PubMed  Google Scholar 

  12. Siersma V, Køster-Rasmussen R, Bruun C et al (2019) Visual impairment and mortality in patients with type 2 diabetes. BMJ Open Diabetes Res Care 7:e000638

    PubMed  PubMed Central  Google Scholar 

  13. López-Sánchez GF, Grabovac I, Pizzol D et al (2019) The association between difficulty seeing and physical activity among 17,777 adults residing in Spain. Int J Environ Res Public Health 16:4267

    PubMed Central  Google Scholar 

  14. Smith L, Timmis MA, Pardhan S et al (2016) Physical inactivity in relation to self-rated eyesight: cross-sectional analysis from the English longitudinal study of ageing. BMJ Open Ophthalmol 1:e000046

    Google Scholar 

  15. Smith L, Jackson SE, Pardhan S et al (2019) Visual impairment and objectively measured physical activity and sedentary behaviour in US adolescents and adults: a cross-sectional study. BMJ Open 9:e027267

    PubMed  PubMed Central  Google Scholar 

  16. Steffl M, Bohannon RW, Sontakova L et al (2017) Relationship between sarcopenia and physical activity in older people: a systematic review and meta-analysis. Clin Interv Aging 12:835–845

    PubMed  PubMed Central  Google Scholar 

  17. Hong T, Flood V, Rochtchina E et al (2014) Adherence to dietary guidelines and the 10 year cumulative incidence of visual impairment: the blue mountains eye study. Am J Ophthalmol 158:302–308

    PubMed  Google Scholar 

  18. Freeman EE, Roy-Gagnon MH, Samson E et al (2013) The global burden of visual difficulty in low, middle, and high income countries. PLoS ONE 8:e63315

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Kowal P, Chatterji S, Naidoo N et al (2012) Data resource profile: the World Health Organization study on global ageing and adult health (SAGE). Int J Epidemiol 41:1639–1649

    PubMed  PubMed Central  Google Scholar 

  20. Tyrovolas S, Koyanagi A, Olaya B et al (2016) Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: a multi-continent study. J Cachexia Sarcopenia Muscle 7:312–321

    PubMed  Google Scholar 

  21. Dam TT, Peters KW, Fragala M et al (2014) An evidence-based comparison of operational criteria for the presence of sarcopenia. J Gerontol A Biol Sci Med Sci 69:584–590

    PubMed  PubMed Central  Google Scholar 

  22. Lee RC, Wang Z, Heo M et al (2000) Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. Am J Clin Nutr 72:796–803

    CAS  PubMed  Google Scholar 

  23. Studenski SA, Peters KW, Alley DE et al (2014) The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci 69:547–558

    PubMed  PubMed Central  Google Scholar 

  24. Tyrovolas S, Koyanagi A, Olaya B et al (2015) The role of muscle mass and body fat on disability among older adults: a cross-national analysis. Exp Gerontol 69:27–35

    PubMed  Google Scholar 

  25. Capistrant BD, Glymour MM, Berkman LF (2014) Assessing mobility difficulties for cross-national comparisons: results from the world health organization study on global ageing and adult health. J Am Geriatr Soc 62:329–335

    PubMed  PubMed Central  Google Scholar 

  26. Cruz-Jentoft AJ, Baeyens JP, Bauer JM et al (2010) Sarcopenia: European consensus on definition and diagnosis: report of the European working group on sarcopenia in older people. Age Ageing 39:412–423

    PubMed  PubMed Central  Google Scholar 

  27. Varadaraj V, Lee MJ, Tian J et al (2019) Near vision impairment and frailty: evidence of an association. Am J Ophthalmol 208:234–241

    PubMed  PubMed Central  Google Scholar 

  28. 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

    PubMed  Google Scholar 

  29. Smith L, Allen P, Pardhan S et al (2020) Self-rated eyesight and handgrip strength in older adults. Wien Klin Wochenschr 132:132–138

    PubMed  Google Scholar 

  30. Bull FC, Maslin TS, Armstrong T (2009) Global physical activity questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health 6:790–804

    PubMed  Google Scholar 

  31. Vancampfort D, Stubbs B, Herring MP et al (2018) Sedentary behavior and anxiety: association and influential factors among 42,469 community-dwelling adults in six low and middle-income countries. Gen Hosp Psychiatry 50:26–32

    CAS  PubMed  Google Scholar 

  32. Stubbs B, Vancampfort D, Firth J et al (2018) Relationship between sedentary behavior and depression: a mediation analysis of influential factors across the lifespan among 42,469 people in low and middle-income countries. J Affect Disord 229:231–238

    PubMed  Google Scholar 

  33. Rose GA (1962) The diagnosis of ischaemic heart pain and intermittent claudication in field surveys. Bull World Health Organ 27:645–658

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Zetterberg M, Celojevic D (2015) Gender and cataract—the role of estrogen. Curr Eye Res 40:176–190

    CAS  PubMed  Google Scholar 

  35. Du Y, Wang X, Xie H et al (2019) Sex differences in the prevalence and adverse outcomes of sarcopenia and sarcopenic obesity in community dwelling elderly in East China using the AWGS criteria. BMC Endocr Disord 19:109

    PubMed  PubMed Central  Google Scholar 

  36. Koyanagi A, Oh H, Vancampfort D et al (2019) Perceived stress and mild cognitive impairment among 32,715 community—dwelling older adults across six low and middle-income countries. Gerontology 65:155–163

    PubMed  Google Scholar 

  37. Koyanagi A, Lara E, Stubbs B et al (2018) Chronic physical conditions, multimorbidity, and mild cognitive impairment in low and middle-income countries. J Am Geriatr Soc 66:721–727

    PubMed  PubMed Central  Google Scholar 

  38. Cruz-Jentoft AJ, Bahat G, Bauer J et al (2019) Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing 48:16–31

    PubMed  Google Scholar 

  39. Carter CS, Hofer T, Seo AY et al (2007) Molecular mechanisms of life and health-span extension: role of calorie restriction and exercise intervention. Appl Physiol Nutr Metab 32:954–966

    CAS  PubMed  Google Scholar 

  40. Masuda T, Shimazawa M, Hara H (2017) Retinal diseases associated with oxidative stress and the effects of a free radical scavenger (edaravone). Oxid Med Cell Longev. https://doi.org/10.1155/2017/9208489

    Article  PubMed  PubMed Central  Google Scholar 

  41. Pinazo-Durán MD, Gallego-Pinazo R, García-Medina JJ et al (2014) Oxidative stress and its downstream signaling in aging eyes. Clin Interv Aging 9:637–652

    PubMed  PubMed Central  Google Scholar 

  42. Cugati S, Cumming RG, Smith W et al (2007) Visual impairment, age-related macular degeneration, cataract, and long-term mortality: the blue mountains eye study. Arch Ophthalmol 125:917–924

    PubMed  Google Scholar 

  43. Kong GY, Van Bergen NJ, Trounce IA et al (2009) Mitochondrial dysfunction and glaucoma. J Glaucoma 18:93–100

    PubMed  Google Scholar 

  44. Schrier SA, Falk MJ (2011) Mitochondrial disorders and the eye. Curr Opin Ophthalmol 22:325–331

    PubMed  PubMed Central  Google Scholar 

  45. Jones GC, Crews JE, Danielson ML (2010) Health risk profile for older adults with blindness: an application of the international classification of functioning, disability, and health framework. Ophthalmic Epidemiol 17:400–410

    PubMed  Google Scholar 

  46. Rech CR, Dellagrana RA, Marucci MDFN et al (2012) Validity of anthropometric equations for the estimation of muscle mass in elderly. Rev Bras de Cineantropometria e Desempenho Hum 14:23–31

    Google Scholar 

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Acknowledgements

This paper uses data from WHO’s Study on Global Ageing and Adult Health (SAGE). SAGE is supported by the US. National Institute on Aging through Interagency Agreements OGHA 04034785, YA1323–08-CN-0020, Y1-AG-1005-01 and through research Grants R01-AG034479 and R21-AG034263.

Funding

Dr. Guillermo F. López-Sánchez. Seneca Foundation—Agency for Science and Technology of the Region of Murcia, Spain (20390/PD/17).

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Correspondence to Lee Smith.

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Table 3 Association of far vision impairment with different definitions of sarcopenia estimated by multivariable logistic regression

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Smith, L., López-Sánchez, G.F., Jacob, L. et al. Objectively measured far vision impairment and sarcopenia among adults aged ≥ 65 years from six low- and middle-income countries. Aging Clin Exp Res 33, 2995–3003 (2021). https://doi.org/10.1007/s40520-021-01841-y

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