Reliability and Validity of Commercially Available Low-Cost Bioelectrical Impedance Analysis

Vasold, Kerri; Parks, Andrew C.; Phelan, Deanna M.L.; Pontifex, Matthew B.; Pivarnik, James M.

doi:10.1123/ijsnem.2018-0283

Cited by 115 publications

(89 citation statements)

References 8 publications

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“…We used the cut point that approximates the upper end of the current recommendations, [7] because the participants were overall highly active. Adiposity was measured using body mass index (BMI, calculated from measured height and weight (TCS-150 electric scale and Omron HBF-214 Body Composition Monitor Scale), categorised using Asian-specific cut-points as lower risk (< 23), increased risk (23-27.4), and high risk≥ (27.5) [21]) and body fat percentage using the reliable and valid [22] Omron HBF-214 Body Composition Monitor Scale (≤ 20 vs > 20 for men and ≤ 30 vs > 30 for women [23]).…”

Section: Methodsmentioning

confidence: 99%

How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China

Ding

Cheng

Cruz

et al. 2021

Int J Behav Nutr Phys Act

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Background COVID-19 lockdowns may lead to physical inactivity, a major risk factor for non-communicable diseases. This study aims to determine: 1) the trajectory in daily step counts before, during and after the lockdown in China, and 2) the characteristics associated with the trajectories. Methods From December 2019 to July 2020, smartphone-based step counts were continuously collected in 815 Chinese adults residing in Shanghai over 202 days across three phases: before, during, and after the lockdown. Participant characteristics were reported, and height, weight and body composition measured before the lockdown. A ‘sharp’ regression discontinuity design with cluster robust standard errors was used to test the effect of the lockdown and reopening on daily steps and a linear mixed model was used to examine the characteristics associated with trajectories during the observed period. Results Based on 164,630 person-days of data, we found a sharp decline in daily step counts upon the lockdown (24/01/2020) by an average of 3796 (SE = 88) steps, followed by a significant trend of increase by 34 steps/day (SE = 2.5; p < .001) until the end of the lockdown (22/03/2020). This increasing trend continued into the reopening phase at a slower rate of 5 steps per day (SE = 2.3; p = 0.029). Those who were older, married, university educated, insufficiently active, had an ‘at risk’ body composition, and those in the control group, were slower at recovering step counts during the lockdown, and those who were older, married, without university education and with an ‘at risk’ body composition recovered step counts at a slower pace after the reopening. Conclusions Despite later increases in step counts, COVID-19 lockdown led to a sustained period of reduced physical activity, which may have adverse health implications. Governments and health professionals around the world should continue to encourage and facilitate physical activity during the pandemic.

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Section: Methodsmentioning

confidence: 99%

How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China

Ding

Cheng

Cruz

et al. 2021

Int J Behav Nutr Phys Act

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show abstract

“…Body fat (BF) percentage was measured by bioimpedance using the Tanita BC-418MA device (Tanita, Tokyo, Japan) using procedures documented in detail elsewhere [ 27 ]. The validity of bioelectrical impedance analysis has been previously shown [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Is There a Link between Different Types of Alcoholic Drinks and Obesity? An Analysis of 280,183 UK Biobank Participants

İnan-Eroğlu

Powell

Hamer

et al. 2020

IJERPH

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Understanding the associations between types of alcoholic drinks and adiposity has public health relevance, considering that adult overweight and obesity prevalence are increasing worldwide. We aimed to evaluate the association between overall alcohol consumption and types of alcohol drinks with markers of adiposity from the UK Biobank baseline data (n = 280,183, 48.3% female). Generalized linear models were used to examine the associations between alcohol consumption with body mass index (BMI) and body fat percentage. Those drinking within the public health guidelines had a lower BMI by 1.34 kg/m2 (95% CI 1.42, 1.26 kg/m2) compared to never drinkers. Association between alcohol consumption and body fat percentage were not statistically significant. Compared to those who never drink wines (red wine, champagne and fortified wine), drinkers of these alcoholic beverages had lower BMI (difference of −0.75 kg/m2, 95% CI −0.78, −0.72 kg/m2; −0.48 kg/m2, 95% CI −0.52, −0.45 kg/m2; and −0.24 kg/m2, 95% CI −0.29, −0.18 kg/m2, respectively). Beer and spirits drinkers had higher BMI compared to never drinkers of beer and spirits (difference of 0.18 kg/m2, 95% CI 0.14, 0.22 kg/m2 and 0.64 kg/m2, 95% CI 0.61, 0.68 kg/m2, respectively). Our data did not find a link between alcohol drinking and higher risk of obesity.

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“…Body mass index (BMI) was calculated by dividing participants’ weight in kilograms by their height in meters squared. A multi-frequency bioelectrical impedance analysis (BIA) device (MC-980MA, Tanita Corporation, Tokyo, Japan) was used to measure body composition [ 24 , 25 ]. Participants were asked to stand barefoot on the scale and hold the handles while slightly abducting their arms.…”

Section: Methodsmentioning

confidence: 99%

Suitability of Ultra-Short-Term Heart Rate Variability in Military Trainees

et al. 2020

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We aimed to (a) evaluate the agreement between ultra-short-term and criterion resting heart rate variability (HRV) measures in military trainees, and (b) compare associations between HRV recording lengths and body composition. HRV recordings were performed for 10 min in 27 military male students. Mean RR interval, the root-mean square of successive differences (RMSSD), RMSSD:RR interval ratio, standard deviation of normal-to-normal RR intervals (SDNN), and SDNN:RR interval ratio were determined from the last 5 min of the 10-min recording and considered the criterion. Parameters were also recorded in successive 1-min epochs from the 5-min stabilization period. No differences were observed between criterion values and any of the 1-min epochs (p > 0.05). Effect sizes ranged from −0.36–0.35. Intra-class correlations ranged from 0.83–0.99. Limits of agreement ranged from 38.3–78.4 ms for RR interval, 18.8–30.0 ms for RMSSD, 1.9–3.1 for RMSSD:RR, 24.1–31.4 ms for SDNN, and 2.5–3.0 for SDNN:RR. Body fat% was associated (p < 0.05) with all HRV parameters at varying time segments. A 1-min HRV recording preceded by a 1-min stabilization period seems to be a suitable alternative to criterion measures. Ultra-short procedures may facilitate routine HRV tracking in tactical populations for status-monitoring purposes.

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Reliability and Validity of Commercially Available Low-Cost Bioelectrical Impedance Analysis

Cited by 115 publications

References 8 publications

How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China

How COVID-19 lockdown and reopening affected daily steps: evidence based on 164,630 person-days of prospectively collected data from Shanghai, China

Is There a Link between Different Types of Alcoholic Drinks and Obesity? An Analysis of 280,183 UK Biobank Participants

Suitability of Ultra-Short-Term Heart Rate Variability in Military Trainees

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