The use of bioelectric impedance analysis to measure fluid compartments in subjects with chronic paraplegia11No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.

Buchholz, Annick; McGillivray, Colleen; Pencharz, Paul B.

doi:10.1016/s0003-9993(02)04950-x

Cited by 52 publications

(12 citation statements)

References 52 publications

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“…Further, the higher WC that was associated with significant increase in Lean (Kg) in normoglycemic subjects was not seen in the state of PD ( Table 4 ).A combined state of higher body fat and lower lean mass contributes to insulin resistance and hyperglycemia by disrupting glucose uptake by muscle tissue through release of endocrine mediators by adipose tissue [ 33 ]. TBW reflects the lean soft tissue like muscle mass [ 34 ] and since lean % is reduced in PD, this could the underlying rationale for the finding of low TBW% in this study.…”

Section: Discussionmentioning

confidence: 84%

Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes

Nayak

Vidyasagar

et al. 2018

PLoS ONE

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ObjectivesTo compare different anthropometric indices, Body composition analysis and lipid profile markers in terms of their ability to predict prediabetes (PD).MethodsWe enrolled 83 subjects with PD and 84 normoglycemic subjects who were matched for age and gender. The diagnosis of prediabetes was done according to the American Diabetes Association (ADA) criteria. All subjects were aged between 30–55 years of age and visited the outpatient department of tertiary care hospital. Anthropometric and lipid profile measurements were obtained. Analysis of body composition was done using Bodystat 1500MDD Instrument. Backward logistic regression was performed for detecting the predictors of PD. A receiver operator characteristic curve (ROC) with area under curve (AUC) was utilized for the accuracy of the predictors of PD.ResultsComparison of anthropometric measurement and body composition analysis parameters between the two groups showed that Waist circumference (WC), Body mass index, Body Fat% were significantly higher whereas Extracellular water and Dry lean weight in percentage (ECW% and DLW%) were found to be lower in PD (p< 0.05). Higher triglyceride (TG) levels and lower high-density cholesterol (HDL-C) with high TG/HDL-C were seen in subjects with PD. Backward logistic regression analysis found the combination of Body Fat % with WC, TG, ECW% and DLW% as strong predictors of PD. In ROC analysis, ECW% (AUC = 0.703) was the most predictive measure, followed by WC (AUC = 0.702).ConclusionThis study demonstrated that estimation of Body Fat % combined with waist circumference, Extracellular water and Dry lean weight in percentage are valuable in screening and diagnosis of prediabetes. Plasma levels of TG in lipid profile measurements can also serve as an additional marker for prediction of prediabetes.

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Section: Discussionmentioning

confidence: 84%

Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes

Nayak

Vidyasagar

et al. 2018

PLoS ONE

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“…Fat tissue contains relatively small amounts of water than other tissues, and more fat mass results in reduction of electrical conduction [ 15 ]. Many previous studies have confirmed its efficacy in measuring fat mass percentage and diagnosing obesity in SCI patients with the same cutoff value of obesity used in the general population [ 20 22 ]. Thus, our study also designated the diagnosis of obesity as 22% of FMP or above for male and 33% of FMP or above for female [ 23 ].…”

Section: Methodsmentioning

confidence: 98%

Comparison of Fat Mass Percentage and Body Mass Index in Koreans With Spinal Cord Injury According to the Severity and Duration of Motor Paralysis

et al. 2015

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ObjectiveTo analyze the relationship of the change in fat mass percentage (FMP) and body mass index (BMI) with the change in obesity rate according to gender, extent of spinal cord injury (SCI) and the duration.MethodsThe retrospective study was conducted with medical records of 915 patients. FMP was calculated with BMI and bioelectrical impedance analysis (BIA). Statistical analysis of the relationship between FMP and gender, extent of SCI and the duration after SCI was done.ResultsFMP increased in relation to the duration. The mean FMP was higher in the motor complete tetraplegia group, as compared to the motor incomplete group. The rate of obesity was 69.8% with cutoff FMP values of over 22% and 35% for male and female patients, respectively. Rate of obesity was correlated with the duration after SCI and degree of paralysis. The rate of obesity was 17.1% with a cutoff value of BMI 25 kg/m2 and 51.3% with a cutoff value of 22 kg/m2. For evaluation of the diagnostic value of BMI to predict obesity according to FMP standards, a cutoff value of 25 kg/m2 showed a sensitivity level of 22.3% and specificity level of 94.9%. When the cutoff level for BMI was set at 22 kg/m2, the sensitivity and specificity were 59.3% and 67.0%, respectively.ConclusionIn Korean SCI patients, FMP showed good correlation with the duration of SCI and the extent of SCI, while BMI did not. Especially in the motor complete tetraplegia group, the diagnostic value of BMI decreased as the duration after SCI increased. This study suggested that FMP could be used complementarily when evaluating the obesity of SCI patients.

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“…Edwards et al [16] revealed that SCI patients have three times more visceral fat tissue than the GP with the same abdominal circumference, suggesting that serial measurement of the abdominal circumference in SCI patients is helpful. Buchholz et al [17] and Eriks-Hoogland et al [18] also insisted that abdominal circumference is a good measure of obesity in SCI patients.…”

Section: Discussionmentioning

confidence: 99%

Characteristics of Abdominal Obesity in Persons With Spinal Cord Injury

2013

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ObjectiveTo investigate the characteristics of community-dwelling spinal cord injury (SCI) persons with obesity, including diet, socioeconomic factors, weight reduction method, and frequency of body weight and abdominal circumference measurements.MethodsWe developed a questionnaire based on 'the Fourth Korea National Health and Nutrition Examination Survey, 2009'. A total of 371 community-dwelling SCI persons were enrolled in this study. Inclusion criteria were SCI persons older than 20 years with more than 1 year elapsed since the injury. Trained investigators visited SCI persons' home to complete the questionnaire and measure abdominal obesity (AO) as defined by the waist circumference.ResultsPrevalence of AO was 29.2% in SCI persons and 27.4% in the general population (GP), showing no significant difference. Education showed correlation with AO in both SCI persons and the GP. The injury level, type of injury and income did not show any correlation with AO in SCI persons. Only 28.8% and 48.8% of SCI persons measured their waist circumference and body weight within the past year, respectively. Also, SCI persons with AO thought that their body was less obese compared to persons with AO in the GP (p<0.001). The method of weight reduction was diet modification in 53.6% of SCI persons with AO, which was higher than 37.1% of persons with AO in the GP.ConclusionIn SCI persons, obesity perception as well as socioeconomic factors correlated with AO, but these were not relevant factors in the GP. Therefore, development of a specific and intensive weight control program for SCI persons is necessary.

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Cited by 52 publications

References 52 publications

Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes

Body composition analysis, anthropometric indices and lipid profile markers as predictors for prediabetes

Comparison of Fat Mass Percentage and Body Mass Index in Koreans With Spinal Cord Injury According to the Severity and Duration of Motor Paralysis

Characteristics of Abdominal Obesity in Persons With Spinal Cord Injury

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