Measuring maternal body composition by biomedical impedance can predict risk for gestational diabetes mellitus: a retrospective study among 22,223 women

References

• Deng X, Yang Y, Sun H, et al. Analysis of whole genome-wide methylation and gene expression profiles in visceral omental adipose tissue of pregnancies with gestational diabetes mellitus. J Chin Med Assoc. 2018;81(7):623–630.
   PubMed Web of Science ®Google Scholar
• Zhang F, Dong L, Zhang CP, et al. Increasing prevalence of gestational diabetes mellitus in Chinese women from 1999 to 2008. Diabet Med. 2011;28(6):652–657.
   PubMed Web of Science ®Google Scholar
• Leng J, Shao P, Zhang C, et al. Prevalence of gestational diabetes mellitus and its risk factors in Chinese pregnant women: a prospective population-based study in Tianjin, China. PLoS One. 2015;10(3):e0121029.
   PubMed Web of Science ®Google Scholar
• Renqimuge NA, Dongmei LI, Linxiang MI, et al. Prevalence rate of gestational diabetes mellitus in China: a meta-analysis. Chinese J Evid Based Med. 2018;018(003):280–285.
   Google Scholar
• Zhu WW, Yang HX. Diagnosis of gestational diabetes mellitus in China. Diabetes Care. 2013;36(6):e76.
   PubMed Web of Science ®Google Scholar
• Bellamy L, Casas JP, Hingorani AD, et al. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773–1779.
   PubMed Web of Science ®Google Scholar
• Sit D, Luther J, Dills JL, et al. Abnormal screening for gestational diabetes, maternal mood disorder, and preterm birth. Bipolar Disord. 2014;16(3):308–317.
   PubMed Web of Science ®Google Scholar
• Pu J, Zhao B, Wang EJ, et al. Racial/ethnic differences in gestational diabetes prevalence and contribution of common risk factors. Paediatr Perinat Epidemiol. 2015;29(5):436–443.
   PubMed Web of Science ®Google Scholar
• Yeung RO, Savu A, Kinniburgh B, et al. Prevalence of gestational diabetes among Chinese and South Asians: a Canadian population-based analysis. J Diabetes Complicat. 2017;31(3):529–536.
   PubMed Web of Science ®Google Scholar
• Yuen L, Wong VW. Gestational diabetes mellitus: challenges for different ethnic groups. World J Diabetes. 2015;6(8):1024–1032.
   PubMed Web of Science ®Google Scholar
• WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157–163.
   PubMed Web of Science ®Google Scholar
• Lamain-de Ruiter M, Kwee A, Naaktgeboren CA, et al. Prediction models for the risk of gestational diabetes: a systematic review. Diagn Progn Res. 2017;1:3.
   PubMedGoogle Scholar
• Teh WT, Teede HJ, Paul E, et al. Risk factors for gestational diabetes mellitus: implications for the application of screening guidelines. Aust N Z J Obstet Gynaecol. 2011;51(1):26–30.
   PubMed Web of Science ®Google Scholar
• Albareda M, Caballero A, Badell G, et al. Diabetes and abnormal glucose tolerance in women with previous gestational diabetes. Diabetes Care. 2003;26(4):1199–1205.
   PubMed Web of Science ®Google Scholar
• Tran TS, Hirst JE, Do MA, et al. Early prediction of gestational diabetes mellitus in Vietnam: clinical impact of currently recommended diagnostic criteria. Diabetes Care. 2013;36(3):618–624.
   PubMed Web of Science ®Google Scholar
• Wells JCK, Fewtrell MS. Measuring body composition. Arch Dis Child. 2006;91(7):612–617.
   PubMed Web of Science ®Google Scholar
• Dehghan M, Merchant AT. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J. 2008;7:26
   PubMed Web of Science ®Google Scholar
• Berlit S, Tuschy B, Stojakowits M. Bioelectrical impedance analysis in pregnancy: reference ranges. In Vivo. 2013;27(6):851–854.
   PubMed Web of Science ®Google Scholar
• Most J, Marlatt KL, Altazan AD, et al. Advances in assessing body composition during pregnancy. Eur J Clin Nutr. 2018;72(5):645–656.
   PubMed Web of Science ®Google Scholar
• Sartorio A, Malavolti M, Agosti F, et al. Body water distribution in severe obesity and its assessment from eight-polar bioelectrical impedance analysis. Eur J Clin Nutr. 2005;59(2):155–160.
   PubMed Web of Science ®Google Scholar
• Malavolti M, Mussi C, Poli M, et al. Cross-calibration of eight-polar bioelectrical impedance analysis versus dual-energy X-ray absorptiometry for the assessment of total and appendicular body composition in healthy subjects aged 21-82 years. Ann Hum Biol. 2003;30(4):380–391.
   PubMed Web of Science ®Google Scholar
• Midi H, Sarkar SK, Rana S. Collinearity diagnostics of binary logistic regression model. J Interdiscip. Math. 2010;13(3):253–267.
   Google Scholar
• Li R, Lu W, Jiang QW, et al. Increasing prevalence of type 2 diabetes in Chinese adults in Shanghai. Diabetes Care. 2012;35(5):1028–1030.
   PubMed Web of Science ®Google Scholar
• Djelmis J, Pavic M, Mulliqi Kotori V, et al. Prevalence of gestational diabetes mellitus according to IADPSG and NICE criteria. Int J Gynaecol Obstet. 2016;135(3):250–254.
   PubMed Web of Science ®Google Scholar
• Helseth R, Salvesen O, Stafne SN, et al. Gestational diabetes mellitus among Nordic Caucasian women: prevalence and risk factors according to WHO and simplified IADPSG criteria. Scand J Clin Lab Invest. 2014;74(7):620–628.
   PubMed Web of Science ®Google Scholar
• McIntyre HD, Jensen DM, Jensen RC, et al. Gestational diabetes mellitus: does one size fit all? A challenge to uniform worldwide diagnostic thresholds. Dia Care. 2018;41(7):1339–1342.
   PubMed Web of Science ®Google Scholar
• Gong P, Liang S, Carlton EJ, et al. Urbanisation and health in China. Lancet. 2012;379(9818):843–852.
   PubMed Web of Science ®Google Scholar
• Li X, Song J, Lin T, et al. Urbanization and health in China, thinking at the national, local and individual levels. Environ Health. 2016;15(Suppl 1):32.
   PubMedGoogle Scholar
• Zeng Y, Vaupel JW. The impact of urbanization and delayed childbearing on population-growth and aging in China. Popul Dev Rev. 1989;15(3):425–445.
   Web of Science ®Google Scholar
• Ouyang Y. China relaxes its one-child policy. Lancet. 2013;382(9907):e28.
   PubMed Web of Science ®Google Scholar
• Yu XQ, Baade P. Combating diabetes in China: a long-term perspective is needed. Lancet Public Health. 2018;3(4):e154–e155.
   PubMed Web of Science ®Google Scholar
• Di Cesare M, Bentham J, Stevens GA. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387(10026):1377–1396.
   PubMed Web of Science ®Google Scholar
• Gordon-Larsen P, Wang H, Popkin BM. Overweight dynamics in Chinese children and adults. Obes Rev. 2014;15(Suppl 1):37–48.
   PubMed Web of Science ®Google Scholar
• Du T, Sun X, Yin P, et al. Increasing trends in central obesity among Chinese adults with normal body mass index, 1993–2009. BMC Public Health. 2013;13(1):327.
   PubMedGoogle Scholar
• Chaemsaithong P, Leung TY, Sahota D, et al. Body mass index at 11–13 weeks' gestation and pregnancy complications in a Southern Chinese population: a retrospective cohort study. J Matern Fetal Neonatal Med. 2019;32(12):2056–2068.
   PubMed Web of Science ®Google Scholar
• Ozias MK, Li S, Hull HR, et al. Relationship of circulating adipokines to body composition in pregnant women. Adipocyte. 2015;4(1):44–49.
   PubMed Web of Science ®Google Scholar
• Lim U, Ernst T, Buchthal SD, et al. Asian women have greater abdominal and visceral adiposity than Caucasian women with similar body mass index. Nutr & Diabetes. 2011;1(5):e6–e6.
   PubMedGoogle Scholar
• Katz EG, Stevens J, Truesdale KP, et al. Hip circumference and incident metabolic risk factors in Chinese men and women: the People's Republic of China study. Metab Syndr Relat Disord. 2011;9(1):55–62.
   PubMed Web of Science ®Google Scholar
• Marshall NE, Murphy EJ, King JC, et al. Comparison of multiple methods to measure maternal fat mass in late gestation. Am J Clin Nutr. 2016;103(4):1055–1063.
   PubMed Web of Science ®Google Scholar
• Widen EM, Gallagher D. Body composition changes in pregnancy: measurement, predictors and outcomes. Eur J Clin Nutr. 2014;68(6):643–652.
   PubMed Web of Science ®Google Scholar
• Balani J, Hyer SL, Shehata H, et al. Visceral fat mass as a novel risk factor for predicting gestational diabetes in obese pregnant women. Obstet Med. 2018;11(3):121–125.
   PubMed Web of Science ®Google Scholar
• Ghezzi F, Franchi M, Balestreri D, et al. Bioelectrical impedance analysis during pregnancy and neonatal birth weight. Eur J Obstet Gynecol Reprod Biol. 2001;98(2):171–176.
   PubMed Web of Science ®Google Scholar
• Brandon AE, Liao BM, Diakanastasis B, et al. Protein kinase C epsilon deletion in adipose tissue, but not in liver, improves glucose tolerance. Cell Metab. 2019;29(1):183–191.e7.
   PubMed Web of Science ®Google Scholar
• Ho-Pham LT, Campbell LV, Nguyen TV. More on body fat cutoff points. Mayo Clin Proc. 2011;86(6):584; author reply 584–584; author reply 585.
   Web of Science ®Google Scholar
• Wang Y, Luo B-R. The association of body composition with the risk of gestational diabetes mellitus in Chinese pregnant women: a case-control study. Medicine (Baltimore). 2019;98(42):e17576
   PubMed Web of Science ®Google Scholar
• Liao YS, Li HC, Lu HK, et al. Comparison of bioelectrical impedance analysis and dual energy x-ray absorptiometry for total and segmental bone mineral content with a three-compartment model. Int J Environ Res Public Health. 2020;17(7):2595.
   Web of Science ®Google Scholar
• Sanz-Salvador L, Garcia-Perez MA, Tarin JJ, et al. Bone metabolic changes during pregnancy: a period of vulnerability to osteoporosis and fracture. Eur J Endocrinol. 2015;172(2):R53–R65.
   PubMed Web of Science ®Google Scholar
• To WW, Wong MW. Bone mineral density changes in gestational diabetic pregnancies-a longitudinal study using quantitative ultrasound measurements of the os calcis. Gynecol Endocrinol. 2008;24(9):519–525.
   PubMed Web of Science ®Google Scholar