Meng Jin1, Hanze Du2, Yuelun Zhang3, Huijuan Zhu4, Ke Xu5, Xianxian Yuan6, Hui Pan7, Guangliang Shan8. 1. Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China; Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: jinmeng_eleanor@163.com. 2. Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: Vespasian_du@126.com. 3. Central Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: yuelunzhang@outlook.com. 4. Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: shengxin2004@163.com. 5. Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: zjwzxuke@126.com. 6. Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: xianxianyuan@163.com. 7. Department of Endocrinology, Key Laboratory of Endocrinology of Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. Electronic address: panhui20111111@163.com. 8. Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China. Electronic address: guangliang_shan@hotmail.com.
Abstract
BACKGROUND & AIMS: We aim to examine the influence of sex, age, region and ethnicity on fat mass index (FMI) and fat free mass index (FFMI), and to establish FMI and FFMI reference values in Chinese adults. METHODS: A stratified cluster sampling method was adopted to enroll Chinese participants in this cross-sectional study. Questionnaire surveys and medical examinations were performed to collect data, and body composition parameters were measured by bioelectrical impedance analysis. FMI and FFMI were calculated as the ratio of fat mass and fat free mass to the square of height. Differences in mean values for parameters were tested by Student's t-test or one-way analysis of variance. Reference values of FMI and FFMI were obtained using the percentiles method. RESULTS: A total of 8959 multiethnic healthy Chinese adults were included in the analysis. Males had higher mean FFMI (males, 18.6 ± 1.6 kg/m2; females, 15.7 ± 1.1 kg/m2, P < 0.001) but lower mean FMI (males, 5.1 ± 2.1 kg/m2; females, 7.8 ± 2.8 kg/m2, P < 0.001) than did female participants regardless of age and ethnicity. For both sexes, FMI (Male: Bouyei, 4.2 ± 1.8 kg/m2; Uygur, 5.8 ± 2.2 kg/m2, P < 0.001; Female: Bouyei, 6.7 ± 2.3 kg/m2; Uygur, 9.0 ± 3.2 kg/m2, P < 0.001) and FFMI (Male: Bouyei, 17.8 ± 1.4 kg/m2; Uygur, 19.4 ± 1.6 kg/m2, P < 0.001; Female: Bouyei, 15.1 ± 1.0 kg/m2; Uygur, 16.3 ± 1.1 kg/m2, P < 0.001) were lowest in Bouyeis and highest in Uygurs. FMI and FFMI values increased with age until they peaked in the 30-39 year age group in males and after the age of 40 years in females for all ethnic groups. Reference values (5th-95th percentile) of FMI and FFMI were presented according to gender, age, region and ethnicity. CONCLUSION: The body composition of Chinese population differs in different age, sex, ethnicity and region subgroups. Practitioners and future studies may need to consider different reference values for FMI and FFMI in Chinese adults among Han, Bouyei and Uygur populations; these values can serve as indices for evaluating nutrition status and identifying abnormalities in body composition.
BACKGROUND & AIMS: We aim to examine the influence of sex, age, region and ethnicity on fat mass index (FMI) and fat free mass index (FFMI), and to establish FMI and FFMI reference values in Chinese adults. METHODS: A stratified cluster sampling method was adopted to enroll Chinese participants in this cross-sectional study. Questionnaire surveys and medical examinations were performed to collect data, and body composition parameters were measured by bioelectrical impedance analysis. FMI and FFMI were calculated as the ratio of fat mass and fat free mass to the square of height. Differences in mean values for parameters were tested by Student's t-test or one-way analysis of variance. Reference values of FMI and FFMI were obtained using the percentiles method. RESULTS: A total of 8959 multiethnic healthy Chinese adults were included in the analysis. Males had higher mean FFMI (males, 18.6 ± 1.6 kg/m2; females, 15.7 ± 1.1 kg/m2, P < 0.001) but lower mean FMI (males, 5.1 ± 2.1 kg/m2; females, 7.8 ± 2.8 kg/m2, P < 0.001) than did female participants regardless of age and ethnicity. For both sexes, FMI (Male: Bouyei, 4.2 ± 1.8 kg/m2; Uygur, 5.8 ± 2.2 kg/m2, P < 0.001; Female: Bouyei, 6.7 ± 2.3 kg/m2; Uygur, 9.0 ± 3.2 kg/m2, P < 0.001) and FFMI (Male: Bouyei, 17.8 ± 1.4 kg/m2; Uygur, 19.4 ± 1.6 kg/m2, P < 0.001; Female: Bouyei, 15.1 ± 1.0 kg/m2; Uygur, 16.3 ± 1.1 kg/m2, P < 0.001) were lowest in Bouyeis and highest in Uygurs. FMI and FFMI values increased with age until they peaked in the 30-39 year age group in males and after the age of 40 years in females for all ethnic groups. Reference values (5th-95th percentile) of FMI and FFMI were presented according to gender, age, region and ethnicity. CONCLUSION: The body composition of Chinese population differs in different age, sex, ethnicity and region subgroups. Practitioners and future studies may need to consider different reference values for FMI and FFMI in Chinese adults among Han, Bouyei and Uygur populations; these values can serve as indices for evaluating nutrition status and identifying abnormalities in body composition.
Authors: Hansani Madushika Abeywickrama; K M Swarna Wimalasiri; Yu Koyama; Mieko Uchiyama; Utako Shimizu; Rohana Chandrajith; Nishantha Nanayakkara Journal: Int J Environ Res Public Health Date: 2019-12-24 Impact factor: 3.390
Authors: Bruna Vieira de Lima Costa; Paula Martins Horta; Mariana Zogbi Jardim; Ariene Silva do Carmo; Sabrina Alves Ramos Journal: Rev Bras Med Trab Date: 2022-06-30