Purpose: To examine the association of health-related quality of life (HRQoL) with severity of visual impairment among people aged 40-64 years.
Methods: We used cross-sectional data from the 2006-2010 Behavioral Risk Factor Surveillance System to examine six measures of HRQoL: self-reported health, physically unhealthy days, mentally unhealthy days, activity limitation days, life satisfaction, and disability. Visual impairment was categorized as no, a little, or moderate/severe. We examined the association between visual impairment and HRQoL using logistic regression accounting for the survey's complex design.
Results: Overall, 23.0% of the participants reported a little difficult seeing, while 16.8% reported moderate/severe difficulty seeing. People aged 40-64 years with moderate/severe visual impairment had more frequent (≥14) physically unhealthy days, mentally unhealthy days, and activity limitation days in the last 30 days, as well as greater life dissatisfaction, greater disability, and poorer health compared to people reporting no or a little visual impairment. After controlling for covariates (age, sex, marital status, race/ethnicity, education, income, state, year, health insurance, heart disease, stroke, heart attack, body mass index, leisure-time activity, smoking, and medical care costs), and compared to people with no visual impairment, those with moderate/severe visual impairment were more likely to have fair/poor health (odds ratio, OR, 2.01, 95% confidence interval, CI, 1.82-2.23), life dissatisfaction (OR 2.06, 95% CI 1.80-2.35), disability (OR 1.95, 95% CI 1.80-2.13), and frequent physically unhealthy days (OR 1.69, 95% CI 1.52-1.88), mentally unhealthy days (OR 1.84, 95% CI 1.66-2.05), and activity limitation days (OR 1.94, 95% CI 1.71-2.20; all p < 0.0001).
Conclusion: Poor HRQoL was strongly associated with moderate/severe visual impairment among people aged 40-64 years.
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http://dx.doi.org/10.3109/09286586.2016.1168851 | DOI Listing |
J Neuroinflammation
January 2025
Stark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Over recent years, the retina has been increasingly investigated as a potential biomarker for dementia. A number of studies have looked at the effect of Alzheimer's disease (AD) pathology on the retina and the associations of AD with visual deficits. However, while OCT-A has been explored as a biomarker of cerebral small vessel disease (cSVD), studies identifying the specific retinal changes and mechanisms associated with cSVD are lacking.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, 510665, China.
With the rapid development of Internet of Things (IoT) technology, embedded devices in various computer vision scenarios can realize real-time target detection and recognition tasks, such as intelligent manufacturing, automatic driving, smart home, and so on. YOLOv8, as an advanced deep learning model in the field of target detection, has attracted much attention for its excellent detection speed, high precision, and multi-task processing capability. However, since IoT embedded devices typically own limited computing resources, direct deployment of YOLOv8 is a big challenge, especially for real-time detection tasks.
View Article and Find Full Text PDFBr J Ophthalmol
January 2025
Department of Ophthalmology, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
Background: Orbital cavernous venous malformations (OCVMs) are the most common primary orbital mass lesion and presenting symptoms are usually secondary to a mass effect. Surgical excision presents unique challenges and vision loss is a rare, but devastating, complication. This review aims to identify risk factors for vision loss with excision of OCVMs.
View Article and Find Full Text PDFBr J Ophthalmol
January 2025
Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, Delhi, India.
Purpose: To obtain national-level data on current burden of blindness and visual impairment (VI) due to corneal opacities (CO) and their epidemiological determinants in India.
Methods: A cross-sectional, population-based survey was conducted in 31 districts for population aged ≥50 years using Rapid Assessment of Avoidable Blindness (RAAB) V.6 methodology and 6 districts for population aged 0-49 years.
Neuroscience
January 2025
Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China. Electronic address:
Abnormal functional and structural connectivity of brain networks is commonly observed in patients with type 2 diabetes mellitus (T2DM) and accompanied bycognitive impairment. In this study, we revealed differences in brain structure in T2DM using a Morphometric Similarity Network (MSN) method, which quantifies structural similarities between brain regions. The associations between T2DM-associated changes in morphometric similarity (MS) and gene expression were analyzed to explore the molecular and cellular mechanism underlying MS changes in T2DM.
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