OBJECTIVE: To describe the prevalence of diabetes from 7 to 17 years old children and adolescents in China, and analyze the change during 2002-2012. METHODS: Data was from China Nutrition and Health Survey( 2002) and China Nutrition and Health Surveillance( 2012). In 2002, 243 479 subjects were selected from 132 countries of mainland China by the multilevel stratified equal volume cluster random sampling method. In 2012, 183 137 subjects were selected from 205 countries of mainland China by the multilevel stratified equal proportional cluster random sampling. While 32161 and25376 plasma glucose test results were got in 2002 and 2012, respectively. Fasting plasma glucose and 2 h-OGTT levels were be used to diagnose diabetesbased on the guideline ofprevention and treatment for type 2 diabetes in China( 2010). RESULTS: In 2002, the average fasting blood-glucose of Chinese children and adolescents aged 7 to 17 was( 4. 62± 0. 56 mmol/L), and in 2012, it was( 4. 91 ± 0. 67 mmol/L). In 2002, the prevalence of diabetes was 0. 24% among children and adolescents aged 7 to 17, the rate of impaired fasting blood-glucose was 0. 33%. In urban areas, the prevalence of diabetes was 0. 43%and the rate of impaired fasting blood-glucose was 0. 40%, and it was 0. 18% and 0. 29%in the rural areas. In 2012, the prevalence of diabetes was 0. 52% among children and adolescents aged 7 to 17, the rate of impaired fasting blood-glucose was 1. 95%, the prevalence of diabetes was 0. 38% and the impaired fasting blood-glucose rate was 1. 59%in urban areas, and it was 0. 60% and 2. 11% in the rural areas. CONCLUSION: From2002 to 2012, the mean of FPG, the prevalence of diabetes and the rate of impaired fasting blood-glucose were rising among Chinese children and adolescents aged 7 to 17. The growth prevalence of diabetes in China was obvious, but the differences between the urban and rural areas, between low age group and high age group were not obvious.
OBJECTIVE: To describe the prevalence of diabetes from 7 to 17 years old children and adolescents in China, and analyze the change during 2002-2012. METHODS: Data was from China Nutrition and Health Survey( 2002) and China Nutrition and Health Surveillance( 2012). In 2002, 243 479 subjects were selected from 132 countries of mainland China by the multilevel stratified equal volume cluster random sampling method. In 2012, 183 137 subjects were selected from 205 countries of mainland China by the multilevel stratified equal proportional cluster random sampling. While 32161 and25376 plasma glucose test results were got in 2002 and 2012, respectively. Fasting plasma glucose and 2 h-OGTT levels were be used to diagnose diabetesbased on the guideline ofprevention and treatment for type 2 diabetes in China( 2010). RESULTS: In 2002, the average fasting blood-glucose of Chinese children and adolescents aged 7 to 17 was( 4. 62± 0. 56 mmol/L), and in 2012, it was( 4. 91 ± 0. 67 mmol/L). In 2002, the prevalence of diabetes was 0. 24% among children and adolescents aged 7 to 17, the rate of impaired fasting blood-glucose was 0. 33%. In urban areas, the prevalence of diabetes was 0. 43%and the rate of impaired fasting blood-glucose was 0. 40%, and it was 0. 18% and 0. 29%in the rural areas. In 2012, the prevalence of diabetes was 0. 52% among children and adolescents aged 7 to 17, the rate of impaired fasting blood-glucose was 1. 95%, the prevalence of diabetes was 0. 38% and the impaired fasting blood-glucose rate was 1. 59%in urban areas, and it was 0. 60% and 2. 11% in the rural areas. CONCLUSION: From2002 to 2012, the mean of FPG, the prevalence of diabetes and the rate of impaired fasting blood-glucose were rising among Chinese children and adolescents aged 7 to 17. The growth prevalence of diabetes in China was obvious, but the differences between the urban and rural areas, between low age group and high age group were not obvious.
Entities:
Keywords:
children and adolescents; diabetes; prevalence
Authors: Jean M Lawrence; Jasmin Divers; Scott Isom; Sharon Saydah; Giuseppina Imperatore; Catherine Pihoker; Santica M Marcovina; Elizabeth J Mayer-Davis; Richard F Hamman; Lawrence Dolan; Dana Dabelea; David J Pettitt; Angela D Liese Journal: JAMA Date: 2021-08-24 Impact factor: 157.335