Medical Uniforms Dress Hospital Lab Coats Workwear Tops Collarless Short Sleeve Unisex Nurse Doctor Outfit Costume shirts
SPECIFICATIONS
type: doctor's overall
Use Scenarios: Laboratory clothing
Use Scenarios: Operation room
Usage: Medical
Origin: Mainland China
Material: Cotton
Material: Polyester
Item Type: Doctor's Clothing
Gender: WOMEN
Fabric Type: Broadcloth
CN: Guangdong
Details:
*Tag Size:XXS-6XL, please make sure that these actual measurements will fit you.
Size Chart (1 inch=2.54cm) |
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Tag Size |
XXXS |
XX |
XS |
S |
M |
L |
XL |
2XL |
3XL |
4XL |
5XL |
6XL |
Length (cm) |
61 |
62 |
63 |
64 |
65 |
66 |
67 |
68 |
69 |
70 |
71 |
72 |
Length (inch) |
24.0 |
24.4 |
24.8 |
25.2 |
25.6 |
26.0 |
26.4 |
26.8 |
27.2 |
27.6 |
28.0 |
28.3 |
Bust (cm) |
76.0 |
80.0 |
84.0 |
88.0 |
96.0 |
104.0 |
110.0 |
118.0 |
126.0 |
134.0 |
142.0 |
146.0 |
Bust (inch) |
29.9 |
31.5 |
33.1 |
34.6 |
37.8 |
40.9 |
43.3 |
46.5 |
49.6 |
52.8 |
55.9 |
57.5 |
Shoulder (cm) |
37.0 |
38.0 |
39.0 |
40.0 |
41.0 |
42.0 |
43.0 |
44.0 |
45.0 |
46.0 |
47.0 |
48.0 |
Shoulder (inch) |
14.6 |
15.0 |
15.4 |
15.7 |
16.1 |
16.5 |
16.9 |
17.3 |
17.7 |
18.1 |
18.5 |
18.9 |
Sleeve (cm) |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
28 |
Sleeve (inch) |
6.7 |
7.1 |
7.5 |
7.9 |
8.3 |
8.7 |
9.1 |
9.4 |
9.8 |
10.2 |
10.6 |
11.0 |
Measured before being stretched,known as Laid Flat Data, Please allow 1~2cm deviation |
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* Item Fabric:Cotton Blend
* Item Color:White(As pictures show)
* Item Description:️Women Men Collarless Short Sleeve White Medical Dress Uniform Hospital Lab Coat Workwear Tops XXS-6XL
* Package Contents:1*Tops(NO Accessories Included)
How to choose proper size?How to choose proper size?
1) Use similar garment to compare with the sizes
2) Choose larger sizes if your sizes are same as the flat measurement size chart
Note:
1. The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2. Please allow slight manual measurement deviation for the data.
