Reproducibility of Bioelectrical Impedance Analysis in Pregnancy and the Association of Body Composition with the Risk of Gestational Diabetes: A Substudy of MUMS Cohort

被引:14
作者
Bai, Michelle [1 ]
Susic, Daniella [1 ,2 ]
O'Sullivan, Anthony J. [3 ,4 ]
Henry, Amanda [1 ,2 ,5 ]
机构
[1] UNSW Med, Sch Womens & Childrens Hlth, Sydney, NSW, Australia
[2] St George Hosp, Dept Womens & Childrens Hlth, Sydney, NSW, Australia
[3] St George Hosp, Dept Endocrinol, Sydney, NSW, Australia
[4] UNSW Med, St George & Sutherland Clin Sch, Sydney, NSW, Australia
[5] UNSW Med, George Inst Global Hlth, Sydney, NSW, Australia
基金
英国医学研究理事会;
关键词
GUT MICROBIOTA; ENERGY-METABOLISM; FAT PERCENTAGE; MASS INDEX; WHOLE-BODY; WEIGHT; COMPLICATIONS; PREDICTORS; ACCURACY; MELLITUS;
D O I
10.1155/2020/3128767
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction. Bioelectrical impedance analysis (BIA) is a rapid and noninvasive method of body composition analysis; however, reproducibility between BIA instruments in pregnancy is uncertain. Adverse maternal body composition has been linked to pregnancy complications including gestational diabetes mellitus (GDM). This study aimed to evaluate the reproducibility of three BIA instruments in pregnancy and analyse the relationship between the body composition and the GDM risk.Methods. A prospective cohort (n = 117) of women with singleton pregnancies participating in the Microbiome Understanding in Maternity Study (MUMS) at St. George Hospital, Sydney, Australia. Anthropometric measurements and BIA body composition were measured at <= 13 weeks (T1), 20-24 weeks (T2), and 32-36 weeks (T3) of gestation. Body fat percentage (BFP), total body water (TBW), and impedance were estimated by three BIA instruments: Bodystat 1500, RJL Quantum III, and Tanita BC-587. GDM status was recorded after 75 g oral glucose tolerance test was performed at 28 weeks or earlier. Agreement between BIA instruments was assessed using Bland-Altman analysis. Logistic regression modelling explored associations of BFP with GDM.Results. Method comparison reproducibility between Bodystat and RJL was stronger than between Bodystat and Tanita for both BFP and TBW% at all three time points. RJL overestimated BFP on average by 3.3% (p<0.001), with limits of agreement within +/- 5% for all trimesters. Average BFP was not significantly different between Tanita and Bodystat although limits of agreement exceeded +/- 5%. GDM diagnosis was independently associated with increased BFP in T1 (adjusted OR 1.117 per 1% increase; 95% CI 1.020-1.224; p = 0.017) and in T2 (adjusted OR 1.113 per 1% increase; 95% CI 1.010-1.226; p = 0.031) and with Asian ethnicity in all models (OR 7.4-8.1).Conclusion. Reproducibility amongst instruments was moderate; therefore, interchangeability between instruments, particularly for research purposes, cannot be assumed. In this cohort, GDM risk was modestly associated with increasing BFP and strongly associated with Asian ethnicity.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Alterations in energy homeostasis to favour adipose tissue gain: A longitudinal study in healthy pregnant women
    Abeysekera, Minoli V.
    Morris, Jack A.
    Davis, Gregory K.
    O'Sullivan, Anthony J.
    [J]. AUSTRALIAN & NEW ZEALAND JOURNAL OF OBSTETRICS & GYNAECOLOGY, 2016, 56 (01) : 42 - 48
  • [2] [Anonymous], 2006, NATURE, DOI DOI 10.1038/NATURE054142-S2.0-33845874101
  • [3] [Anonymous], 1999, Obesity: preventing and managing the global epidemic. Report of a WHO consultation on obesity
  • [4] Reliability, repeatability and reproducibility: analysis of measurement errors in continuous variables
    Bartlett, J. W.
    Frost, C.
    [J]. ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2008, 31 (04) : 466 - 475
  • [5] STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
    BLAND, JM
    ALTMAN, DG
    [J]. LANCET, 1986, 1 (8476) : 307 - 310
  • [6] Accuracy of Bioelectrical Impedance Consumer Devices for Measurement of Body Composition in Comparison to Whole Body Magnetic Resonance Imaging and Dual X-Ray Absorptiometry
    Bosy-Westphal, Anja
    Later, Wiebke
    Hitze, Britta
    Sato, Tetsuya
    Kossel, Elke
    Glueer, Claus-Christian
    Heller, Martin
    Mueller, Manfred James
    [J]. OBESITY FACTS, 2008, 1 (06) : 319 - 324
  • [7] Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women
    Collado, Maria Carmen
    Isolauri, Erika
    Laitinen, Kirsi
    Salminen, Seppo
    [J]. AMERICAN JOURNAL OF CLINICAL NUTRITION, 2008, 88 (04) : 894 - 899
  • [8] Prevalence Estimates of Gestational Diabetes Mellitus in the United States, Pregnancy Risk Assessment Monitoring System (PRAMS), 2007-2010
    DeSisto, Carla L.
    Kim, Shin Y.
    Sharma, Andrea J.
    [J]. PREVENTING CHRONIC DISEASE, 2014, 11
  • [9] Deurenberg P, 1996, AM J CLIN NUTR, V64, P449
  • [10] Diabetes Australia, 2015, DIABETES AUSTR GESTA