Aims/IntroductionLifestyle management helps improve the clinical outcome of patients with type 2 diabetes. The present study aimed to obtain lifestyle data on the dietary and physical activity of adult type 2 diabetes patients in Zhejiang province of eastern China for better patient education and improvement of clinical management.Materials and MethodsA cross‐sectional survey of 607 adult type 2 diabetes patients was carried out in 12 hospitals within eight cities of Zhejiang province. Data were collected for sex, age, basic physical measurement (blood pressure, height, weight, waist circumference and hip circumference), dietary favor and habit (vegetarian diets vs meat diets, preference of salty or light flavors), detailed dietary intake (24‐h recall method), as well as the weekly physical activity.ResultsThe mean age of the patients in the analysis was 56.39 ± 12.29 years, and 38.71% of the patients had higher levels of body mass index than recommended. The average daily total energy intake was 1887.71 ± 575.10 kcal. The percentage of calories from carbohydrate, protein and fat were 61.36 ± 11.59%, 13.29 ± 3.37% and 25.35 ± 11.16%, respectively. For physical activity, the patients generally spent most of their daily time sitting and sleeping, and the time for moderate vigorous activity was limited.ConclusionsAdult patients with type 2 diabetes in Zhejiang province have a relatively high carbohydrate and low protein diet, with very limited physical activity. Patient education to achieve a better lifestyle intervention needs to improve in this region.

Traditional computer music creation is carried out through computer simulation of fixed conversion of syllables. However, there are phenomena of syllables and pitch distortions in music creation that changes rapidly in rhythm. In response to this problem, a method of music creation and sound test based on genetic algorithm and wireless network is proposed. First, the genetic algorithm is introduced to construct a general mathematical module for music creation, and genetic operators for encoding string length and group size are assigned to establish a similarity measure for computer music creation. Then, the mean cluster analysis of music creation realizes the creation of computer music. Finally, based on the wireless network technology, the sound test effect analysis of music creation was carried out. Experimental results show that the proposed method of music creation and sound test is superior to the traditional method, the accuracy of syllables is increased by 25.97%, and the accuracy of tones is increased by 34.12%. This technology can realize high-pitched music creation and audition research.