Price: $15.99
(as of Oct 27, 2024 08:34:25 UTC – Details)
Product Description
Sizing Guide
XS: Age: 6-12 months old, Weight: 13.1-16.5lb, Palm Size: 4.7 Inch
S: Age: 6-12 months old, Weight: 17.1-21.5lb, Palm Size: 5.0 Inch
XM: Age: 2 years old, Weight: 22.1-26.5lb, Palm Size: 5.1 Inch
M: Age: 2 years old, Weight: 27.1-32.5lb, Palm Size: 5.3 Inch
L: Age: 3 years old, Weight: 33.1-38.5lb, Palm Size: 5.5 Inch
XL: Age: 4 years old, Weight: 39.1-49.5lb, Palm Size: 5.9 Inch
XXL: Age: 5 years old, Weight: 50.1-59.5lb, Palm Size: 6.3 Inch
The size is measure by hand, please allow slight errors on size.
Product Dimensions : 10 x 2 x 2.7 inches; 0.63 ounces
Date First Available : March 23, 2023
Manufacturer : Cloverhome
ASIN : B0BW8BWY4M
Soft and Great Material: This stop thumb sucking for kids is made from good quality materials. It is soft, reliable,flexible and breathable. Which will not rip easily, you can use for a long time and buy it confidently.
Practical Function: The anti-thumb sucking gloves for kids wrap the thumb and the index finger well. It takes 1-2 weeks to reduce sucking fingers slowly, wearing this glove for a long time can help children to get rid of these unhealthy habits, bad habit turns.
Avoid kids biting their fingers: The fingers thumb sucking stops is aimed to avoid kids biting their nails and fingers; Wearing it, kids can play, study, eat and sleep well.
Easy to clean: The sucking stop thumb guards can be put in boiling water for 30 seconds while first time using. You can easily wash and dry this stop finger sucking guard, which meets baby’s use in daily life.
Proper Size: The wristband design prevents the gloves from falling off the child’s hand. At the same time, the strap design can also adjust the tightness according to the child’s hand. Please double over the strap after adjusting that it will not easy to be unfastened by the child.
Customers say
Customers have mixed opinions about the ease of adjustment and functionality of the brace. They mention that the sizing seems to be a bit off.
AI-generated from the text of customer reviews