Impact of eating and drinking on body composition measurements by bioelectrical impedance

Androutsos, Odysseas; Gerasimidis, Konstantinos; Karanikolou, Antonia; Reilly, JJ; Edwards, Christine

doi:10.1111/jhn.12259

Cited by 62 publications

(59 citation statements)

References 18 publications

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“…54 However, BIA may be inaccurate, owing to the occurrence of fluid imbalances consequent to an underlying inflammatory process in patients with cancer. 14 Indeed, as all individuals included in the studies analysed in this systematic review underwent a scan as part of their routine oncological care, CT scanning clearly offers a practical, precise and accessible method to identifying sarcopenia in large groups of patients with abdominal malignancies.…”

Section: Discussionmentioning

confidence: 99%

“…For example, food diaries rely on patients to self-report; body mass index (BMI) assumes a typical distribution of fat and muscle tissues; and bioelectrical impedance analysis (BIA) relies on the patient to fast beforehand and for their internal fluid balances to be in equilibrium. 14 Differences also exist between single-frequency and multifrequency 1 impedance measurements. 15 Therefore, although the latter methods give an indication of nutritional status, 16 they may not have the specificity to accurately identify changes in muscle mass and strength, which has been shown to lead to negative outcome in disease trajectory.…”

Section: Introductionmentioning

confidence: 99%

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The role of computed tomography in evaluating body composition and the influence of reduced muscle mass on clinical outcome in abdominal malignancy: a systematic review

et al. 2015

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It is estimated that there were 3.45 million new cases and 1.75 million deaths from cancer in Europe in 2012. Colorectal cancer was one of the most common cancers, accounting for 13% of new cases and 12.2% of all deaths. Conditions causing reduced muscle mass, such as sarcopenia, can increase the morbidity and mortality of people with cancer. Computed tomography (CT) scans can provide accurate, high-quality information on body composition, including muscle mass. To date, there has been no systematic review on the role of CT scans in identifying sarcopenia in abdominal cancer. This review aimed to examine the role of CT scans in determining the influence of reduced muscle mass on clinical outcome in abdominal cancer. A systematic review of English-language articles published in 2000 or later was conducted. Articles included cohort, randomised controlled trials and validation studies. Participants were people diagnosed with abdominal cancer who had undergone a CT scan. Data extraction and critical appraisal were undertaken. Ten cohort studies met the inclusion criteria. Seven studies demonstrated that low muscle mass was significantly associated with poor clinical outcome, with six specifically demonstrating reduced survival rates. Eight studies demonstrated that a greater number of patients (27.3-66.7%) were identified as sarcopenic using CT scans compared with numbers identified as malnourished using body mass index. CT scans can identify reduced muscle mass and predict negative cancer outcomes in people with abdominal malignancies, where traditional methods of assessment are less effective.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The role of computed tomography in evaluating body composition and the influence of reduced muscle mass on clinical outcome in abdominal malignancy: a systematic review

et al. 2015

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“…Three of these studies reported increases in FM% after nutritional intake [ 14 , 24 , 25 ], which was different from our results. In contrast to our study, those previous studies used other BIA methods (segmental, multi frequency [ 14 ] and leg to leg [ 14 , 24 ]), had subjects remain in supine position for 12 h [ 25 ], included different time points for non-fasting measurements (20,40, and 60 min after eating) [ 14 ], or provided a higher energy intake (919 kcal [ 14 ], and 869 kcal [ 24 ]). Only two studies used wholebody SF BIA outcomes; one among healthy subjects [ 13 ] and one among elderly [ 26 ], and their results studies were similar to our study.…”

Section: Discussionmentioning

confidence: 90%

Non-fasting bioelectrical impedance analysis in cystic fibrosis: Implications for clinical practice and research

Hollander-Kraaijeveld

Lindeman

Roos

et al. 2020

Journal of Cystic Fibrosis

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a b s t r a c tBackground: Nutritional status affects pulmonary function in cystic fibrosis (CF) patients and can be monitored by using bioelectrical impedance analysis (BIA). BIA measurements are commonly performed in the fasting state, which is burdensome for patients. We investigated whether fasting is necessary for clinical practice and research. Methods: Fat free mass (FFM) and fat mass (FM) were determined in adult CF patients (n = 84) by whole body single frequency BIA (Bodystat 500) in a fasting and non-fasting state. Fasting and non-fasting BIA outcomes were compared with Bland-Altman plots. Pulmonary function was expressed as Forced Expiratory Volume at 1 s percentage predicted (FEV1%pred). Comparability of the associations between fasting and non-fasting body composition measurements with FEV1%pred was assessed by multiple linear regression. Results: Fasting FFM, its index (FFMI), and phase angle were significantly lower than non-fasting estimates ( −0.23 kg, p = 0.006, −0.07 kg/m 2 , p = 0.002, −0.10 °, p = 0.0 0 0, respectively). Fasting FM and its index (FMI) were significantly higher than non-fasting estimates (0.22 kg, p = 0.008) 0.32%, p = 0.005, and 0.07 kg/m 2 , (p = 0.005). Differences between fasting and non-fasting FFM and FM were < 1 kg in 86% of the patients. FFMI percentile estimates remained similar in 83% of the patients when measured after nutritional intake. Fasting and non-fasting FFMI showed similar associations with FEV1%pred ( β: 4.3%, 95% CL: 0.98, 7.70 and β: 4.6%, 95% CI: 1.22, 8.00, respectively). Conclusion:Differences between fasting and non-fasting FFM and FM were not clinically relevant, and associations with pulmonary function remained similar. Therefore, BIA measurements can be performed in a non-fasting state.

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“…Therefore, measured data under various conditions were included in the data for development or evaluation of the current equations. Moreover, there is a report that although there were significant changes in body composition estimates after meals, these were small and within the imprecision of the impedance technique and so are unlikely to be of clinical significance [25]. Based on this report, we considered that the various intervals from meals to measurements might not have a significant impact on the results.…”

Section: Discussionmentioning

confidence: 97%

Novel equations for bioimpedance spectroscopy to calculate body fluid volume based on the agreement between body weight and extracellular water change before and after hemodialysis as a guide

Yashiro

Kotera

2019

Ren Replace Ther

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Background: MLT-550N is a device to measure the body fluid volume based on bioimpedance spectroscopy. When extracellular water (ECW) or total body water (TBW) is measured with MLT-550N before and after hemodialysis, the change in ECW (ΔECW) or TBW (ΔTBW) is markedly larger than the change in body weight (ΔW). Good agreements between ΔECW and ΔTBW calculated by Moissl equations with ΔW were reported. The aim of this study was to develop novel equations to calculate the body fluid volume by modifying Moissl equations. Methods: A total of 466 measurements of 351 hemodialysis patients were used to develop the novel equations. The equations were based on the agreement between ΔECW and ΔW as a guide. The volume of intracellular water was postulated to be constant during hemodialysis. For evaluation of the equations, 5485 measurements of 627 patients were used. Agreements between values of two groups were assessed with Lin's concordance correlation coefficients. The normal edema ratio (ER = ECW/TBW) corrected with the fat ratio (fcER) according to the parameters of normally hydrated lean and adipose tissues was used as the reference for normal hydration. The fluid status at dry weight was considered to be close to normal. The absolute values of the deviated ratio of actual ER (aER) from fcER (dER = (aER−fcER)/fcER) were compared. In this study, 1 L of body water corresponded to 1.02 kg of body fluid according to a previous report. Results: The concordance correlations between ΔW and 1.02•ΔECW or 1.02•ΔTBW with the novel equations were higher than with the MLT method or Moissl equations (0.896, 0.596 vs. 0.411, 0.375 or 0.813, 0.411, respectively). The median value of dER with the novel equations was the lowest (0.062) compared with those of the MLT method and Moissl equations (0.164 and 0.144) (p < 0.001). Conclusions:The agreements between ΔECW or ΔTBW and ΔW were improved by the novel equations compared with the MLT method or Moissl equations. Based on the relation between aER and fcER at dry weight, the fluid volume calculated using the novel equations may be more adequate than those with the MLT method or Moissl equations.

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Impact of eating and drinking on body composition measurements by bioelectrical impedance

Cited by 62 publications

References 18 publications

The role of computed tomography in evaluating body composition and the influence of reduced muscle mass on clinical outcome in abdominal malignancy: a systematic review

The role of computed tomography in evaluating body composition and the influence of reduced muscle mass on clinical outcome in abdominal malignancy: a systematic review

Non-fasting bioelectrical impedance analysis in cystic fibrosis: Implications for clinical practice and research

Novel equations for bioimpedance spectroscopy to calculate body fluid volume based on the agreement between body weight and extracellular water change before and after hemodialysis as a guide

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