Visual Impairment and Real-World Home Physical Activity With Home Environment in an Older Population.
Seema Banerjee, Aleksandra Mihailovic, Rhonda Miller, Jian-Yu E, Laura N Gitlin, Yingzi Xiong, Sheila West, David S Friedman, Pradeep Y Ramulu
Summary
In this study, results demonstrated that home environment features, particularly lighting, may influence home activity metrics in older adults with visual impairment.
Abstract
IMPORTANCE
Physical activity levels are lower in visual impairment. However, additional factors, such as home environmental features, which can modify physical activity in this group, are unknown.
OBJECTIVE
To investigate the association between home environment features and home physical activity in patients with visual impairment. DESIGN, SETTING,
AND PARTICIPANTS
This cross-sectional study of clinical patients included participants with glaucoma suspect and primary glaucoma who were 60 years or older with varying degrees of visual field damage. Study participants were recruited from the Johns Hopkins Wilmer Eye Institute Glaucoma Clinic, Baltimore, Maryland, from September 2013 through March 2015. Data were analyzed from December 19, 2022, through December 25, 2022.
MAIN OUTCOMES AND MEASURES
Total in-home steps taken per day was the primary outcome measure; time in daily home physical activity and nonsedentary activity were secondary outcomes.
RESULTS
A total of 153 participants were included in analyses with mean age of 71 (SD, 7.8) years and 71 were female (46%). Sixty percent had more than 1 comorbid illness, about one-third took 5 or more prescription drugs, and median daily home steps were 1137. Median integrated visual field sensitivity was 28 dB. Better-eye median visual acuity in logMAR was 0.05 (20/22 Snellen equivalent). For every 0.1-log unit increment in average measured home lighting, participants took 5% more daily steps (rate ratio [RR], 1.05; 95% CI, 1.00-1.10; P = .04) and had a 3% faster average daily peak cadence (RR, 1.03; 95% CI, 1.01-1.05; P = .01). The average number of nonsedentary activity minutes (RR, 1.04; 95% CI, 1.00-1.07; P = .06), average bout duration (β = 0.03; 95% CI, 0.00-.07; P = .06), and activity fragmentation (β = -0.06; 95% CI, -0.13 to 0.00; P = .06) showed associations with home lighting. The number of hazards was not associated with any activity metric (steps: RR, 1.14; 95% CI, 0.96-1.34; P = .13; peak cadence: RR, 1.00; 95% CI, 0.93-1.08; P = .98; and nonsedentary time: RR, 1.11; 95% CI, 0.98-1.26; P = .11), nor was the frequency of hazards.
CONCLUSIONS AND RELEVANCE
In this study, results demonstrated that home environment features, particularly lighting, may influence home activity metrics in older adults with visual impairment. Further prospective studies would be needed to confirm if home modifications can improve at-home activity.
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Discussion
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