Glaucoma Detection through a Novel Hyperspectral Imaging Band Selection and Vision Transformer Integration.

Conventional diagnostic methods for glaucoma primarily rely on non-dynamic fundus images and often analyze features such as the optic cup-to-disc ratio and abnormalities in specific retinal locations like the macula and fovea. However, hyperspectral imaging techniques focus on detecting alterations in oxygen saturation within retinal vessels, offering a potentially more comprehensive approach to diagnosis. This study explores the diagnostic potential of hyperspectral imaging for glaucoma by introducing a novel hyperspectral imaging conversion technique. Digital fundus images are transformed into hyperspectral representations, allowing for a detailed analysis of spectral variations. Spectral regions exhibiting differences are identified through spectral analysis, and images are reconstructed from these specific regions. The Vision Transformer (ViT) algorithm is then employed for classification and comparison across selected spectral bands. Fundus images are used to identify differences in lesions, utilizing a dataset of 1291 images. This study evaluates the classification performance of models using various spectral bands, revealing that the 610-780 nm band outperforms others with an accuracy, precision, recall, F1-score, and AUC-ROC all approximately at 0.9007, indicating its superior effectiveness for the task. The RGB model also shows strong performance, while other bands exhibit lower recall and overall metrics. This research highlights the disparities between machine learning algorithms and traditional clinical approaches in fundus image analysis. The findings suggest that hyperspectral imaging, coupled with advanced computational techniques such as the ViT algorithm, could significantly enhance glaucoma diagnosis. This understanding offers insights into the potential transformation of glaucoma diagnostics through the integration of hyperspectral imaging and innovative computational methodologies.

A "Sit Less, Walk More" Workplace Intervention for Office Workers: Long-Term Efficacy of a Quasi-Experimental Study.

OBJECTIVE: This study tested the maintenance outcomes of a 3-month Sit Less, Walk More (SLWM) workplace intervention for office workers compared with usual care at 12 months from the baseline. METHOD: A quasi-experimental study was conducted in two workplaces. The intervention group (n = 51) received multi-component intervention and the comparison group (n = 50) received newsletters only. The outcomes of the study (self-reported psychosocial, physical activity, sitting, and lost productivity; objectively measured cardiometabolic biomarkers) were compared at baseline, 3, and 12 months. RESULTS: Generalized estimating equations analyses found that the intervention group had significant improvements in self-regulation for sitting less and moving more (P = 0.017), walking (P = 0.003), weight (P = 0.013), waist circumference (P = 0.002), and insulin (P = 0.000) at 12 months compared with the comparison group. CONCLUSION: The SLWM intervention was effective in improving self-regulation, walking, and some cardiometabolic biomarkers in office workers.

Short-Term Efficacy of a "Sit Less, Walk More" Workplace Intervention on Improving Cardiometabolic Health and Work Productivity in Office Workers.

OBJECTIVE: The aim of this study was to test the short-term efficacy of the Sit Less, Walk More (SLWM) workplace intervention. METHODS: This was a quasi-experimental design. A total of 99 office workers from two workplaces participated in this study. The 12-week intervention included five components: monthly newsletters, motivational tools, pedometer challenge, environmental prompts, and walking route. The comparison group received monthly newsletters only. RESULTS: Generalized estimating equation analyses showed that the intervention group demonstrated significant improvements in weight (P = 0.029), waist circumference (P = 0.038), diastolic blood pressure (P < 0.001), walking (P < 0.001), moderate-intensity physical activity (P = 0.014), and total physical activity (P = 0.003) relative to the comparison group. A significant improvement in lost-productivity was observed in both groups (P = 0.003 to 0.008). CONCLUSIONS: The SLWM workplace intervention can improve worker health and lost-productivity.

The effectiveness and barriers of implementing a workplace health promotion program to improve metabolic disorders in older workers in Taiwan.

To determine the effectiveness of a pragmatic health promotion program to improve the metabolic disorders in older workers in Taiwan, we conducted a 24-week quasi-experiment in three worksites in southern Taiwan in 2010. Among 1,245 workers, 108 met the inclusion criteria (full-time workers aged over 50 years) and agreed to participate in the study. They were assigned to either the intervention (n = 58) or the reference group (n = 50) according to their availability to participate in health-promoting activities. The intervention group received training in behavioral modifications to improve diet, time-use, stress management and physical activity. Motivational lectures, group activities, and team competitions were used to improve participants' knowledge and skills in managing own health. Subjects in the reference group received no intervention. Lifestyle, anthropometric and biochemical indicators were measured at baseline and end-point. Mixed effects linear models were used to determine the intervention effects. The intervention significantly lowered body weight (intervention vs. reference = -1.22 vs. -0.30kg, p = 0.026), BMI (-0.46 vs. -0.02kg/m2, p = 0.006), and waist circumference (-2.68 vs. +0.79cm, p <0.001), but had no effect on biochemical parameters. These findings suggest the workplace-based health promotion can be effective and useful in reducing the risk of metabolic disorders in older workers in Taiwan.