Smith_et_al_2020.pdf (978.36 kB)
Self-rated eyesight and handgrip strength in older adults
journal contribution
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. JacksonBackground:
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
132Page range
132-138Publication title
Wiener Klinische Wochenschrift: The Central European Journal of MedicineISSN
1613-7671External DOI
Publisher
SpringerFile version
- Accepted version
Language
- eng
Official URL
Legacy posted date
2019-12-10Legacy creation date
2019-12-10Legacy Faculty/School/Department
Faculty of Science & EngineeringUsage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC