scholarly journals Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity

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.

2021 ◽  
Author(s):  
Ladda Thiamwong ◽  
Jeffrey R. Stout ◽  
Joon-Hyuk Park ◽  
Xin Yan

BACKGROUND One-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between a level of fear of falling (FOF) and physiological fall risk (balance performance). Older adults who overestimate their physiological fall risk and report high fear of falling are less likely to participate in physical activity. Limited data suggest the association between fear of falling, body composition, and physical activity intensity differs by fear severity. OBJECTIVE This study examines the associations among fall risk appraisal, body composition, and physical activity using Assistive Health Technology, including the BTrackS Balance System (BBS), Bioelectrical Impedance Analysis, and activity monitoring devices. This study also aims to examine the feasibility of recruitment and acceptability of technologies and procedures for use among older adults in low-income settings. METHODS This is a cross-sectional study. This study will be conducted at older adults’ homes/apartments in low-income settings in Central Florida, USA. Following consent, participants will be contacted, and our team will have two visits with them. The first visit includes questionnaires completion (e.g., socio-demographic, FOF) and the balance performance test using the BBS. Participants will be stratified by the FRA matrix. Also, they will perform the hand-grip strength and dynamic balance performance tests. Participants will then be asked to wear the ActiGraph GT9X Link wireless activity monitor on the non-dominant wrist for 7 consecutive days. The second visit includes body composition testing and a structured interview about the acceptability of technologies and procedures. RESULTS The ethical approval was obtained from the institutional review board, University of Central Florida (Protocol No. 2189; September 10, 2020). As of December 2020, the enrollment of participating is ongoing. CONCLUSIONS Accurate fall risk appraisal is essential in implementing physical activity programs, especially in low-income older adults. This study will provide data for developing technology-based fall risk assessments for improving participation in physical activity, thus enhancing healthy longevity among older adults in low-income settings.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1001-1002
Author(s):  
Ladda Thiamwong ◽  
Rui Xie ◽  
Renoa Choudhury ◽  
Joon-Hyuk Park ◽  
Oscar Garcia ◽  
...  

Abstract One-third of older adults have maladaptive fall risk appraisal (FRA), a condition in which there is a discrepancy between perceived fall risk or levels of fear of falling (FOF) and physiological fall risk (balance performance). We aimed to examine the associations among FRA, body composition, and physical activity (PA) using Assistive Health Technology, including the Bioelectrical Impedance Analysis, BTrackS Balance System, and activity monitoring devices. We evaluated 124 older adults with a mean age of 74.81 (SD=7.31, range 60 to 96), 77% were female, and 72% had no history of falls. The multinomial logistic regression was used to analyze the data. FRA was classified into 4 quadrants, and we found 47% of rational FRA (low FOF and normal balance), 19% of incongruent FRA (low FOF despite poor balance), 18% of irrational FRA (high FOF despite normal balance), and 16% congruent FRA (high FOF and poor balance). We found these following variables are associated with FRA: accelerometer-based moderate to vigorous physical activity (MVPA: mins), self-reported PA score (strength & flexibility), had difficulty walking up 10 steps without resting (resistance), had difficulty walking several city blocks (ambulation), left-hand average handgrip strength, CDC fall risk score, Senior Technology Acceptance (STA) score and body composition including Body Fat Mass (BFM), Percent Body Fat (PBF), Body Mass Index (BMI), Whole Body Phase Angle, Skeletal Muscle Mass (SMM) and Skeletal Muscle Index (SMI). Our results support the efficacy of using Assistive Health Technology on screening individuals with maladaptive FRA with targeted interventions to reduce fall risk.


2020 ◽  
Vol 9 (4) ◽  
pp. 1210
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
Katarzyna Dereń ◽  
...  

Detailed associations between physical activity (PA) and body composition in preschoolers remain unclear. The aim of this study was to assess body composition among preschool children differentiated according to their levels of PA and to assess whether meeting the current PA recommendations is associated with a lower risk of obesity, determined by body mass index (BMI) and body fat percentage (BFP). Free-living PA was measured using accelerometers for 7 days in children aged 5 to 6 years. Bioelectrical impedance analysis was used to estimate body composition. Significant differences in content of BFP, fat-free mass (FFM), and total body water (TBW) were found between boys meeting and not meeting moderate-to-vigorous PA (MVPA) recommendations. Meeting the MVPA recommendation was associated with a twofold lower risk of obesity determined by BFP in boys but not in girls. In contrast, the total number of recommended steps per day was not related to adiposity in boys or girls. No statistically significant differences were observed in body composition indices and quintiles of MVPA. Boys in the 3rd–5th quintiles of steps per day presented significantly lower BFP and higher muscle mass and TBW than their peers in quintile 1. However, different associations were observed between body composition indices and quintiles of PA.


2021 ◽  
Author(s):  
Yun-Chen Ko ◽  
Wei-Chu Chie ◽  
Tai-Yin Wu ◽  
Chin-Yu Ho ◽  
Wen-Ruey Yu

Abstract To the best of our knowledge, none of Taiwanese studies on the relationship between physical activity (PA) and sarcopenia by the latest 2019 Asian Working Group for Sarcopenia (AWGS) cutoff points of sarcopenia has been published. We used the Taiwan version of international physical activity questionnaire-short version and the 2019 AWGS diagnostic criteria of sarcopenia to examine the relationship between PA and sarcopenia in older adults. Volunteers in this cross-sectional study were recruited from those attending senior health checkup program held at a regional hospital in Taipei City from May 2019 to Sep 2019. Muscle strength was assessed by grip strength, physical performance was assessed by usual gait speed on a 6-meter course, and muscle mass was measured by bioelectrical impedance analysis. Multiple logistic regression was used to analyze the relationship between PA and sarcopenia. 565 participants were recruited and data from 500 participants were used. 138 (27.6%) participants were classified as having sarcopenia, which included 87 women and 51 men. Among women, compared with those with low PA, moderate to high PA protected against the risk of sarcopenia with the adjusted odds ratio (aOR)=0.52 (95% CI: 0.27-0.98, p-value=0.043). As for men, the aOR was 0.34 (95% CI: 0.12-0.95, p-value=0.039). A significant protective effect of PA on sarcopenia was found among the older adults after adjusting for confounders, especially for the male participants.


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 11 (1) ◽  
Author(s):  
Yun-Chen Ko ◽  
Wei-Chu Chie ◽  
Tai-Yin Wu ◽  
Chin-Yu Ho ◽  
Wen-Ruey Yu

AbstractTo the best of our knowledge, none of Taiwanese studies on the relationship between physical activity (PA) and sarcopenia by the latest 2019 Asian Working Group for Sarcopenia (AWGS) cutoff points of sarcopenia has been published. We used the Taiwan version of international physical activity questionnaire-short version and the 2019 AWGS diagnostic criteria of sarcopenia to examine the relationship between PA and sarcopenia in older adults. Volunteers in this cross-sectional study were recruited from those attending senior health checkup program held at a regional hospital in Taipei City from May 2019 to Sep 2019. Muscle strength was assessed by grip strength, physical performance was assessed by usual gait speed on a 6-m course, and muscle mass was measured by bioelectrical impedance analysis. Multiple logistic regression was used to analyze the relationship between PA and sarcopenia. Odds ratios and corresponding 95% confidence intervals were calculated. 565 participants were recruited and data from 500 participants were used. The study participants had a mean age of 73.87 years old, with 47% men and 53% women. 138 (27.6%) participants were classified as having sarcopenia, among which 48 (45.3%) in low PA participants and 90 (22.8%) in moderate to high PA participants. Compared with those with low PA, moderate to high PA protected against the risk of sarcopenia with the odds ratio (OR) 0.46 (95% CI 0.27–0.79, p-value = 0.005). A significant protective effect of PA on sarcopenia was found among the older adults after adjusting for sex, institutionalization, age, BMI, albumin, hemoglobin, HDL-C levels, history of cardiovascular disease, education level and alcohol drinking.


Nutrients ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 57 ◽  
Author(s):  
Luigi Barrea ◽  
Gabriella Fabbrocini ◽  
Giuseppe Annunziata ◽  
Giovanna Muscogiuri ◽  
Marianna Donnarumma ◽  
...  

Hidradenitis suppurativa (HS) is a chronic, inflammatory and debilitating skin disorder. The exacerbating factors of HS include nutrition and adiposity. We aimed to investigate the relationships between body composition and the adherence to the Mediterranean diet (MD) with the severity of HS in a sample of naive-treatment patients with HS. In this case–controlled, cross-sectional study, we enrolled 41 HS patients and 41 control subjects. Body composition was evaluated by a bioelectrical impedance analysis (BIA) phase-sensitive system. PREvención con DIeta MEDiterránea (PREDIMED) and the 7-day food records were used to evaluate the degree of adherence to the MD and dietary pattern, respectively. The clinical severity was assessed by using the Sartorius HS score. HS patients had a worse body composition, in particular lower phase angle (PhA) (p < 0.001), and a lower adherence to the MD than controls, in spite of no differences in energy intake between the two groups. The receiver operator characteristic (ROC) analysis showing a value of PhA of ≤ 5.7 and a PREDIMED score of ≤ 5.0 identified HS patients with the highest clinical severity of the disease. After adjusting for sex, age, body mass index (BMI), and total energy intake, the HS Sartorius score maintained negative correlations with PhA (p < 0.001), PREDIMED score, and n-3 polyunsaturated fatty acids (p = 0.005). The results of the multivariate analysis showed PhA and PREDIMED score were the major determinants of HS Sartorius score, explaining 82.0% and 30.4% of its variability, respectively (p < 0.001). Novel associations were demonstrated between PhA and the degree of adherence to the MD with the HS severity. PhA and PREDIMED score might represent possible markers of severity of HS in a clinical setting.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Kulapong Jayanama ◽  
Supanee Putadechakun ◽  
Praopilad Srisuwarn ◽  
Sakda Arj-Ong Vallibhakara ◽  
Prapimporn Chattranukulchai Shantavasinkul ◽  
...  

Background. Body composition measurement is very important for early nutritional care in hemodialysis patients. Dual-energy X-ray absorptiometry (DXA) is a gold standard test, but clinically limited. Bioelectrical impedance analysis (BIA) with multifrequency technique is a practical and reliable tool. Objective. This cross-sectional study was aimed to compare the agreement of BIA with DXA in measurement of body composition in hemodialysis patients and to evaluate their associated factors. Methods. Body composition was measured by 2 BIA methods (InBody S10 and InBody 720) and DXA after a hemodialysis session. A total of 69 measurements were included. Pearson’s correlation and Bland and Altman analysis were used to determine the correlation of body composition between methods and to compare the methods agreement, respectively. Results. The correlation coefficients of body compositions were strong between DXA and InBody S10 (fat mass index (FMI): r=0.95, fat-free mass index (FFMI): r=0.78) and also between DXA and InBody 720 (FMI: r=0.96, FFMI: r=0.81). Comparing to DXA, the means of each body composition measured by InBody S10 method were not significantly different in each gender, but differences were found in FM, %FM, and FMI measured by InBody 720. Conclusions. In maintenance hemodialysis patients, the measurement of body composition with DXA and both BIA methods had highly significant correlations; practically, BIA method could be used as an instrument to follow FM and FFM and to measure the edematous stage. Further studies with large populations are warranted.


2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Nandita Nury Latifah ◽  
Ani Margawati ◽  
Ayu Rahadiyanti

Komposisi tubuh yang tidak optimal dapat menurunkan kesegaran jasmani atlet sehingga dapat terjadi penurunan performa ketika bertanding. Tujuan dari penelitian ini adalah mengetahui hubungan persen lemak tubuh, persen massa otot, dan somatotype dengan kesegaran jasmani pada atlet hockey. Desain penelitian yaitu cross-sectional dengan jumlah subjek 35 atlet di Pelatihan Hockey Universitas Negeri Semarang dan Universitas Negeri Yogyakarta yang dipilih dengan purposive sampling. Data persen lemak tubuh dan persen massa otot diukur menggunakan bioelectrical impedence analysis (BIA). Data somatotype menggunakan metode antropometri Heath-Carter dan data kesegaran jasmani berupa nilai VO2max diambil menggunakan metode Balke. Analisis data menggunakan uji Pearson, Rank Spearman dan uji regresi linier. Sebagian besar atlet hockey (54,3%) memiliki nilai VO2max dengan kategori baik. Nilai persen lemak tubuh terendah 6,8% dan nilai tertinggi 35%. Nilai persen massa otot terendah 23,9% dan nilai tertinggi 40,9%. Nilai rata-rata dari nilai endomorph, mesomorph, dan ectomorph adalah (-0,04)±0,3; 4,2±0,9; dan 2,3±1,2. Ada hubungan yang signifikan antara persen lemak tubuh (p<0,001), persen massa otot (p<0,001), nilai endomorph (p<0,001), dan nilai ectomorph (p=0,016) dengan nilai VO2max. Variabel yang paling berkaitan dengan nilai VO2max adalah persen lemak (p<0,001). Correlation of body composition with physical fitness of hockey athletes AbstractSuboptimal body composition could reduce the physical fitness and performance of athletes. This study analyzed the relationship of percent body fat, percent muscle mass and somatotype on physical fitness in hockey athletes. This study was a cross-sectional study with 35 athletes in Pelatihan Hockey Universitas Negeri Semarang and Universitas Negeri Yogyakarta which selected by purposive sampling. Percent body fat and percent muscle mass were measured using bioelectrical impedance analysis (BIA). Somatotype measurement used the anthropometric Heath-Carter method and physical fitness (VO2max) measurement by the Balke method. Data were analyzed using the Pearson test, Rank-Spearman test, and Linear Regression test. Most hockey athletes (54.3%) had good VO2max value. The lowest percentage of body fat was 6.8%. The highest percentage of muscle mass was 40.9%. The average value of the endomorph, mesomorph, and ectomorph values were (-0.04) ± 0.3; 4.2 ± 0,9; and 2.3 ± 1.2.  There were a significant relationship between percent body fat (p <0.001), percent muscle mass (p <0.001), endomorph value (p <0.001), and ectomorph value (p = 0.016) with VO2max value. Percent of body fat was the most related variable to VO2max (p<0.001).


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