Comparative analyses of single- and multi- frequency bioelectrical impedance analyzers for determining body composition in young versus older adults

2021 ◽  
Vol 46 ◽  
pp. S745
Author(s):  
F. Yildirim Borazan ◽  
E. Citar Daziroglu ◽  
N. Erdogan Govez ◽  
N. Acar Tek ◽  
B. Goker ◽  
...  
2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 28-28
Author(s):  
Ladda Thiamwong ◽  
Joon-Hyuk Park ◽  
Renoa Choudhury ◽  
Oscar Garcia ◽  
Maxine Furtado ◽  
...  

Abstract One-third of older adults have a discrepancy between perceived and physiological fall risks or maladaptive fall risk appraisal (FRA). Older adults who report high fear of falling and overestimate their physiological fall risk are less likely to participate in physical activity (PA). Limited data suggest the interrelation between fall risk appraisal, body composition, and objective measured PA. This cross-sectional study examines the feasibility of recruitment and acceptability of Assistive Health Technology (AHT), including the BTrackS Balance System (BBS), Bioelectrical Impedance Analysis (InBody s10), and ActiGraph GT9X Link wireless activity monitor. This study demonstrates the benefits of using AHT to study the associations among FRA, body composition, and PA in older adults. We hypothesize that rational FRA is associated with higher levels of PA and skeletal muscle mass and lower levels of percent of body fat and body mass index. Topics presentation included research protocol and preliminary results.


2020 ◽  
Vol 28 (4) ◽  
pp. 598-604
Author(s):  
Nathan F. Meier ◽  
Yang Bai ◽  
Chong Wang ◽  
Duck-chul Lee

Changes in body composition are related to mobility, fall risk, and mortality, especially in older adults. Various devices and methods exist to measure body composition, but bioelectrical impedance analysis (BIA) has several advantages. The purpose of this study was to validate a common BIA device with a dual-energy X-ray absorptiometer (DXA) in older adults and develop prediction equations to improve the accuracy of the BIA measurements. The participants were 277 older adults (162 women and 115 men; age 73.9 ± 5.8 years) without a history of cancer and without a history of severe medical or mental conditions. Individuals fasted 12 hr before BIA and DXA measurement. The correlations between the two methods for appendicular lean mass (ALM), fat-free mass (FFM), and percentage body fat (%BF) were .86, .93, and .92, respectively, adjusting for age and sex. The mean percentage error (DXA—InBody) and mean absolute percentage error were −12% and 13% for ALM, −13% and 13% for FFM, and 16% and 17% for %BF. The prediction equations estimated ALM, FFM, and %BF; sex was coded as 1 for male and 0 for female: Although highly correlated, BIA overestimated FFM, and ALM and underestimated %BF compared with DXA. An application of prediction equations eliminated the mean error and reduced the range of individual error across the sample. Prediction equations may improve BIA accuracy sufficiently to substitute for DXA in some cases.


1998 ◽  
Vol 8 (3) ◽  
pp. 285-307 ◽  
Author(s):  
Vivian H. Heyward

This paper provides an overview of practical methods for assessing body composition of children, adults, and older adults. Three methods commonly used in field and clinical settings are skinfolds, bioelectrical impedance analysis, and anthropometry. For each method, standardized testing procedures, sources of measurement error, recommendations for technicians, and selected prediction equations for each age category are presented. The skinfold method is appropriate for estimating body fat of children (6–17 years) and body density of adults (18–60 years) from diverse ethnic groups. Likewise, bioimpedance is well suited tor estimating the fat-free mass of children (10-19 years) as well as American Indian, black, Hispanic, and white adults. Anthropometric prediction equations that use a combination of circumferences and bony diameters are recommended for older adults (up to 79 years of age), as well as obese men and women.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 44-44
Author(s):  
Kara Poindexter ◽  
Nicholas Koemel ◽  
Madison Dixon ◽  
Bryant Keirns ◽  
Jill Joyce ◽  
...  

Abstract Objectives Elevated postprandial triglycerides (TG) are a risk factor for cardiovascular disease, and older adults exhibit greater postprandial lipemia (PPL) compared to younger adults. However, determinants of PPL, especially in older populations, remain poorly defined. This cross-sectional study examined the influence of body composition, lifestyle behaviors, and metabolic risk factors for PPL across the aging spectrum. Methods We recruited individuals evenly distributed between the ages of 50–89 years (50% male; 50% female). Participants completed diet and physical activity questionnaires and wore an accelerometer for 5 days. Body composition was measured via bioelectrical impedance. Following an overnight fast, participants also completed an abbreviated fat tolerance test: a blood draw was performed before and 4 hours after consumption of a high-fat meal (9 kcal/kg; 73% fat) to determine fasting and peak postprandial metabolic responses. Results 56 participants (age groups: 50s, n = 15; 60s, n = 15; 70s, n = 15; 80s,  n = 11) completed the study. Fasting TG did not differ across age groups (50s: 99.7 ± 50.1 mg/dL; 60s: 114.3 ± 71.1 mg/dL; 70s: 102.9 ± 45.0 mg/dL; 80s: 86.9 ± 39.5 mg/dL; P = 0.63). There was also no difference in 4-hour TG across age groups (50s: 162.9 ± 76.9 mg/dL; 60s: 181.9 ± 99.9 mg/dL; 70s: 130.8 ± 82.0 mg/dL; 80s: 130.8 ± 60.6 mg/dL; P = 0.40). Across age groups, variables significantly correlated (p's < 0.05) with 4-hour TG included BMI (r = 0.29), visceral adiposity (r = 0.31), ALT (r = 0.37), fasting glucose (r = 0.27), 4-hour glucose (r = 0.34) and alcohol intake (r = 0.33). In a backward elimination regression (R2 = 0.31), the most predictive variables of 4-hour TG were 4-hour glucose (β = 0.31; P = 0.01), ALT (β = 0.33; P = 0.007), and alcohol intake (β = 0.25; P = 0.04). Conclusions In older adults aged 50–89, we identified ALT, postprandial glucose, and alcohol intake as key determinants of postprandial TG. Future studies should aim to explore the relationship between liver health, insulin resistance, alcohol intake, and PPL across the aging spectrum. Funding Sources Donna Cadwalader Research and Development Grant, College of Education and Human Sciences and Oklahoma State University Foundation.


2020 ◽  
Author(s):  
Nam Hoon Kim ◽  
Yousung Park ◽  
Nan Hee Kim ◽  
Sin Gon Kim

Abstract Background Age-related changes in body composition include decreased muscle mass and preserved or increased fat mass. There is no anthropometric index to assess both muscle and fat mass. Methods Using a cross-sectional sample of 602 participants aged ≥65 years from the Ansan Geriatric study, we evaluated the association of weight-adjusted waist index (WWI) with muscle and fat mass and compared these with body mass index (BMI) and waist circumference (WC). WWI was calculated as WC (cm) divided by the square root of body weight (kg). Body composition was measured using bioelectrical impedance analysis, dual-energy X-ray absorptiometry and abdominal computed tomography. Results WWI positively correlated with total abdominal fat area (TFA) (r = 0.421, P < 0.001), visceral fat area (VFA) (r = 0.264, P < 0.001), and percentage of total tissue fat (r = 0.465, P < 0.001), but negatively correlated with appendicular skeletal muscle mass (ASM) (r = −0.511, P < 0.001) and ASM/height2 (r = −0.324, P < 0.001). Mean ASM was highest in the first quartile of WWI (17.85 kg/m2) and showed a decreasing trend, with the lowest value in the fourth WWI quartile (13.21 kg/m2, P for trend <0.001). In contrast, mean TFA was lowest in the first quartile and highest in the fourth WWI quartile (P for trend <0.001). The probability of combined low muscle mass and high fat mass was >3× higher in the fourth WWI quartile than in the lowest quartile (odds ratio 3.22, 95% confidence interval 1.32–7.83). Conclusions WWI is an anthropometric index positively associated with fat mass and negatively associated with muscle mass in older adults.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Carly Welch ◽  
Carolyn Greig ◽  
Tahir Masud ◽  
Thomas A. Jackson

Abstract Background To evaluate the acceptability of handgrip strength, gait speed, quadriceps ultrasound, and Bioelectrical Impedance Analysis (BIA) to older adults conducted during and following hospitalisation. Methods Questionnaire-based study conducted upon completion of prospective cohort study, with follow-up in either Queen Elizabeth Hospital Birmingham (QEHB), UK, or participant’s own home following recent admission to QEHB. Outcome measures were acceptability as defined by total multi-domain score for each test (maximum score 35), and by frailty status. Results Forty adults aged 70 years and older admitted for emergency abdominal surgery, elective colorectal surgery, or acute bacterial infections (general medicine) participated. Handgrip strength (median 33, IQR 30–35; p = 0.001), gait speed (median 32, IQR 30–35; p = 0.002), ultrasound quadriceps (median 33, IQR 31–35; p = 0.001), and BIA (median 33.5, IQR 31–35; p = 0.001) were considered highly acceptable. Participants responded positively that they enjoyed participating in these tests, and considered these tests of importance. There was no difference in scores between tests (p = 0.166). Individual total test scores did not differ between patients with and without frailty. Qualitative data are also presented on drivers for research participation. Conclusions Handgrip strength, gait speed, ultrasound quadriceps, and BIA are acceptable tests to older adults during and following hospitalisation. Our results may serve as standards when evaluating acceptability of other tests. Trial registration Prospectively registered February 2019: https://clinicaltrials.gov/ct2/show/NCT03858192


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