Accuracy of segmental bioelectrical impedance analysis for predicting body composition in pre- and postmenopausal women

Noriko I. Tanaka, Satoshi Hanawa, Haruka Murakami, Zhen Bo Cao, Michiya Tanimoto, Kiyoshi Sanada, Motohiko Miyachi

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This study aimed to compare the accuracy for predicting body composition using single-frequent segmental bioelectrical impedance analysis (BIA) between pre- and postmenopausal women. A total f 559 Japanese women aged 30-88. yr were divided into 4 groups by questionnaire: natural menopause, pathological menopause, regular menstruation, or irregular menstruation. The measurement values by dual-energy X-ray absorptiometry were used as a reference of the body composition. In terms of the results, regardless of the menopausal status, BIA slightly but significantly overestimated the percentage of body fat (standard error of estimate: 5.3%-6.7%) and the leg lean soft tissue mass (LSTM; 5.1%-6.1%), and underestimated the LSTM in the whole body (6.2%-7.6%) and arm (2.8%-3.7%). The absolute values of the predictive error for leg LSTM were significantly higher in postmenopausal groups than in the premenopausal ones. The corresponding values for the whole body and arm LSTM, and the percentage of body fat were higher in premenopausal groups than in postmenopausal ones. In conclusion, the predictive accuracy of BIA for postmenopausal women is not inferior to that for premenopausal ones, unless we target the leg LSTM.

Original languageEnglish
Pages (from-to)252-259
Number of pages8
JournalJournal of Clinical Densitometry
Volume18
Issue number2
DOIs
Publication statusPublished - 2015 Apr 1
Externally publishedYes

Keywords

  • Bioelectrical impedance analysis
  • Body composition
  • Dual-energy X-ray absorptiometry
  • Estimation
  • Menopause

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Orthopedics and Sports Medicine
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Accuracy of segmental bioelectrical impedance analysis for predicting body composition in pre- and postmenopausal women'. Together they form a unique fingerprint.

Cite this