Price: $28.79
(as of Jan 19, 2025 19:50:09 UTC – Details)
Thl sleep amber blue light glasses. Professional blue light screen filter glasses designed to support your sleep, reduce eyestrain, anti eye fatigue, headaches, and migraines from extended daily screen time. This type of orange lens glasses also doubles as tinted migraine computer glasses for photophobia, or as light sensitivity glasses. THL Sleep’s amber blue light blocking glasses for men and women support your sleep by protecting your eyes from the harmful UV (100% UV, UVA and UVB) and blue light rays emitted, and are suitable to use for work or at home devices when on your smartphone, phone, tablet, laptop, PC as orange computer glasses, when watching TV or gaming as orange anti blue light gamer glasses. Orange blue light blockers reading glasses for men and women are one of the most useful laptop and computer accessories. Be sure to get natural blue light from the sun without sunglasses every day to set your circadian rhythm. Clear, transparent, or yellow tinted lens anti blue light glasses for women and men fail to block out enough dangerous blue light rays for nighttime use. Red lens blue light blocking sleep glasses risk being too dark for indoor use, similar to wearing sunglasses indoors. THL Sleep’s orange tinted glasses amber lens reading glasses filters out 100% of the most disturbing light rays between 400 and 550 nm. Blue light glasses need this high rate of filtration at night for the ultimate blue light safety. Orange computer screen blue blocking reading glasses for men and women available as amber readers orange lens reading glasses.
Department : Unisex Adult
Date First Available : August 27, 2024
Manufacturer : THL Sleep
ASIN : B0DFCBGZD1
Customers say
Customers like the sleep quality, build quality, and comfort of the blue light blocking eyeglasses. They mention that the glasses have really improved their sleeping quality, are soothing to the eyes, and provide anti-glare. Some are also happy with the clarity, eyeglass quality, and effectiveness. However, some customers disagree on the color accuracy.
AI-generated from the text of customer reviews
