Yuxiang Liu1, Haijian Guo2, Qing Wang1, Jianshuang Chen1, Yan Xuan1, Jinshui Xu2, Yu Liu3, Kaicheng Sun4, Qian Gao1, Zilin Sun5, Bei Wang6. 1. Department of Epidemiology and Statistics, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China. 2. Integrated Business Management Office, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China. 3. Center for Disease Control and Prevention of Jurong, Jurong, Jiangsu 212400, China. 4. Center for Disease Control and Prevention of Yandu, Yandu, Jiangsu 224006, China. 5. Department of Endocrinology, Institute of Diabetes, Medical School, Southeast University, Nanjing, Jiangsu 210009, China. 6. Department of Epidemiology and Statistics, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu 210009, China. Electronic address: wangbeilxb@163.com.
Abstract
AIMS: To evaluate the short-term effect of lifestyle intervention in people with prediabetes. METHODS: A stratified multistage sampling method was used in the recruitment of residents of the Jiangsu Province, China in 2017, who had no previous diagnosis of diabetes. Physical examination and laboratory tests were performed, and questionnaires were completed. Those with a prediabetes diagnosis at baseline were included in the cohort and participants were randomized to the intervention group or the control group. The intervention group received a lifestyle intervention strategy, which included exercise, diet and peer educations. The control group received general health education. Participants were followed up in 2018. RESULTS: A total of 2005 individuals were included in the analysis. At follow-up, there were 516 (36.7%) individuals in the intervention group and 207 (34.5%) individuals in the control group with normal blood glucose levels. The decline in waist circumference and fasting plasma glucose levels was significantly higher in the intervention group than in the control group. This was still observed after adjusting for variables (odds ratio 1.32, P = 0.02). Females or younger individuals who had lower body mass index and plasma glucose levels at baseline were more likely to reverse to normoglycemia at follow-up. CONCLUSIONS: Compared with a strategy of general health education, a lifestyle intervention strategy could reverse glucose levels to normoglycemia in individuals with prediabetes.
AIMS: To evaluate the short-term effect of lifestyle intervention in people with prediabetes. METHODS: A stratified multistage sampling method was used in the recruitment of residents of the Jiangsu Province, China in 2017, who had no previous diagnosis of diabetes. Physical examination and laboratory tests were performed, and questionnaires were completed. Those with a prediabetes diagnosis at baseline were included in the cohort and participants were randomized to the intervention group or the control group. The intervention group received a lifestyle intervention strategy, which included exercise, diet and peer educations. The control group received general health education. Participants were followed up in 2018. RESULTS: A total of 2005 individuals were included in the analysis. At follow-up, there were 516 (36.7%) individuals in the intervention group and 207 (34.5%) individuals in the control group with normal blood glucose levels. The decline in waist circumference and fasting plasma glucose levels was significantly higher in the intervention group than in the control group. This was still observed after adjusting for variables (odds ratio 1.32, P = 0.02). Females or younger individuals who had lower body mass index and plasma glucose levels at baseline were more likely to reverse to normoglycemia at follow-up. CONCLUSIONS: Compared with a strategy of general health education, a lifestyle intervention strategy could reverse glucose levels to normoglycemia in individuals with prediabetes.
Authors: Tran Kim Son; Ngo Hoang Toan; Nguyen Thang; Huynh Le Trong Tuong; Hoang Anh Tien; Nguyen Hai Thuy; Huynh Van Minh; Paul Valensi Journal: Cardiovasc Diabetol Date: 2022-05-14 Impact factor: 8.949