Fat-to-muscle Ratio: A New Anthropometric Indicator for Predicting Metabolic Syndrome in the Han and Bouyei Populations from Guizhou Province, China  

作　　者：XU Ke ZHU Hui Juan CHEN Shi CHEN Lu WANG Xin ZHANG Li Yuan PAN Li WANG Li FENG Kui WANG Ke DONG Fen WANG Ding Ming YU Yang Wen PAN Hui SHAN Guang Liang 

机构地区：[1]Key Laboratory of Endocrinology of National Health and Family Planning Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College [2]Graduate School, Hebei North University [3]Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College [4]National Office for Maternal and Child Health Surveillance of China, Department of Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University [5]Institute of Clinical Medical Sciences, China-Japan Friendship Hospital [6]Institute for Infection, Guizhou Provincial Center for Disease Control and Prevention

出　　处：《Biomedical and Environmental Sciences》2018年第4期261-271,共11页生物医学与环境科学（英文版）

基　　金：the National Science and Technology Pillar Program during the Twelfth Five-Year Plan Period sponsored by the Ministry of Science and Technology of China[grant number 2012BAI37B02];the National Natural Science Foundation of China[grant number 81673184]

摘　　要：Objective To investigate the prevalence and possible factors influencing metabolic syndrome in people from Guizhou Province and to explore the predictive value of the fat-to-muscle ratio in diagnosing metabolic syndrome. Methods A multistage stratified sampling method was used in this cross-sectional study of 20-80 years old Han and Bouyei populations from Guizhou Province, southwestern China, from October-December 2012. The study included 4,553 cases of metabolic syndrome, that was defined according to 2005 International Diabetes Federation criteria. The receiver operating characteristic curve was used for determining the sensitivity, specificity, and predictive ability of the fat-to-muscle ratio for the diagnosis of metabolic syndrome. Results The age-standardized prevalence of metabolic syndrome was 11.38%（men： 9.76%; women： 12.72%） for Han and 4.78%（men： 4.43%; women： 5.30%） for Bouyei populations. In Guizhou Province, the cut-off value for the men fat-to-muscle ratio was 0.34, the area under the curve was 0.95, and the sensitivity and specificity were 0.94 and 0.85, respectively. The cut-off value for the women fat-to-muscle ratio was 0.55, the area under the curve was 0.91, and the sensitivity and specificity were 0.93 and 0.79, respectively. Conclusion The fat-to-muscle ratio is highly predictive of metabolic syndrome in Guizhou Province, and a useful reference indicator.Objective To investigate the prevalence and possible factors influencing metabolic syndrome in people from Guizhou Province and to explore the predictive value of the fat-to-muscle ratio in diagnosing metabolic syndrome. Methods A multistage stratified sampling method was used in this cross-sectional study of 20-80 years old Han and Bouyei populations from Guizhou Province, southwestern China, from October-December 2012. The study included 4,553 cases of metabolic syndrome, that was defined according to 2005 International Diabetes Federation criteria. The receiver operating characteristic curve was used for determining the sensitivity, specificity, and predictive ability of the fat-to-muscle ratio for the diagnosis of metabolic syndrome. Results The age-standardized prevalence of metabolic syndrome was 11.38%（men： 9.76%; women： 12.72%） for Han and 4.78%（men： 4.43%; women： 5.30%） for Bouyei populations. In Guizhou Province, the cut-off value for the men fat-to-muscle ratio was 0.34, the area under the curve was 0.95, and the sensitivity and specificity were 0.94 and 0.85, respectively. The cut-off value for the women fat-to-muscle ratio was 0.55, the area under the curve was 0.91, and the sensitivity and specificity were 0.93 and 0.79, respectively. Conclusion The fat-to-muscle ratio is highly predictive of metabolic syndrome in Guizhou Province, and a useful reference indicator.

关 键 词：Metabolic syndrome Anthropometric indicator Muscle Fat Fat-to-muscle ratio 

分 类 号：R589[医药卫生—内分泌]