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Self-rated eyesight and handgrip strength in older adults

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posted on 2023-08-30, 16:48 authored by Lee Smith, Peter M. Allen, Shahina Pardhan, Trish Gorely, Igor Grabovac, Annetta Smith, Guillermo F. López-Sánchez, Lin Yang, Sarah E. Jackson
Background: The aim of this study was to investigate the association between self-rated eyesight and handgrip strength in a large, representative population of older adults. Methods: Data were from 7433 older adults (≥52 years) participating in the English Longitudinal Study of Ageing. Linear regression was used to analyze the association between self-rated eyesight and handgrip strength cross-sectionally in 2004/2005, and longitudinally over 4‑year follow-up, adjusting for a range of sociodemographic and health-related variables. Results: In cross-sectional and prospective models, poor eyesight was strongly associated with lower handgrip strength after adjustment for age, sex, ethnicity, socioeconomic status and body mass index (BMI, cross-sectional B = −1.39 kg, 95% confidence interval, CI −1.84 to −0.94, p < 0.001, prospective B = −0.68 kg, 95% CI −1.14 to −0.22, p = 0.004). The association was attenuated but remained statistically significant when health behaviours were included in the model (cross-sectional B = −0.93 kg, 95% CI −1.42 to −0.44, p < 0.001, prospective B = −0.50, 95% CI −0.99 to −0.02, p = 0.044). Conclusion: Older adults in England with poor self-rated eyesight have lower levels of physical function compared with those with good eyesight. This association can be predominantly explained by differences in age, sex, ethnicity, socioeconomic status, BMI, and health behaviours, as well as chronic conditions, disability and depression.

History

Refereed

  • Yes

Volume

132

Page range

132-138

Publication title

Wiener Klinische Wochenschrift: The Central European Journal of Medicine

ISSN

1613-7671

Publisher

Springer

File version

  • Accepted version

Language

  • eng

Legacy posted date

2019-12-10

Legacy creation date

2019-12-10

Legacy Faculty/School/Department

Faculty of Science & Engineering

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