Traditional Culture Encyclopedia - Hotel reservation - How to choose the brand of office chair?

How to choose the brand of office chair?

1. Chassis and chair feet

The chassis must have enough bearing capacity to adapt to flexible and balanced legs. According to research, the legs of a four-claw chair often cause imbalance, while a six-claw chair has more contact points with the ground because its legs are too easy to trip the user. A good chair should be a five-claw chair, which is the most stable and balanced design. We'd better give priority to five-claw office chairs when choosing.

2. Comfort of the cushion

The gasket is preferably integrally formed, and the high-quality gasket has a certain degree of weight tolerance. For example, the saddle pad of Paglis office chair is designed according to the stress point of the hip. The whole cutting of the original sponge can increase the contact area between the bottom of the thigh and hip and the seat, so that the pressure can be evenly dispersed and the feeling of sedentary fatigue can be reduced. Moreover, the design of the Prius double-back chair is also excellent, because the left and right back chairs can better support the back, reduce the back gravity, and minimize the pressure of body gravity on the spine, which is of great benefit to us in forming a good sitting posture.

3. The inclination of the chair back

Different people have different weights, and the required inclination of the chair back is actually different. The inclination of ordinary chairs is fixed, so that the lighter can't rely on it. A heavy person suddenly leans to the bottom, which not only has a sense of support, but also is easy to sit down and turn over. A good chair should be of any shape, and you can put your backpack up when the back of the chair is tilted. Like the independent double back of Pugrice, it can keep and track the changes of our back, fit the back from multiple angles, support the back at any time, and lean back at a large angle of130, which is a comfortable angle for big data analysis.