Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment

Doan, Dieu Ni Thi; Ku, Boncho; Kim, Kahye; Jun, Min‐Ho; Choi, Kyu Yeong; Lee, Kun Ho; Kim, Jaeuk U.

doi:10.3389/fnut.2022.873623

Cited by 6 publications

(7 citation statements)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the data preprocessing, participants who had non-random missing data ( n = 18) and extreme results (sparse data points above or below three times the interquartile range were considered extreme points) for any parameter ( n = 8) were excluded from the analysis. According to the principle of multifrequency bioelectrical impedance analysis, correct impedance measurements should have lower values for higher frequencies (i.e., impedance at 1 kHz is greater than impedance at 5 kHz); therefore, observations that did not follow this pattern were excluded ( n = 91) ( 31 ). All of the participants answered the cold heat pattern questionnaire and were accordingly classified into the CP or non-CP groups.…”

Section: Methodsmentioning

confidence: 99%

“…As peripheral regions such as the arm and leg have appreciable variances, whereas the vital central organs are strongly resisted by thermoregulatory mechanisms ( 35 ), the segmental variables for the body trunk were ignored in the analysis. Using these extremity bioimpedance variables, we computed the upper (lower) extremities variables by averaging the corresponding variables in the right and left arms (legs) as suggested in our previous publication ( 31 ). In this study, two R ratio variables for the upper and lower extremities (i.e., Ri_Re_upper and Ri_Re_lower) were computed such that the R ratio was the difference between the R at 250 kHz and that at 5 kHz divided by the R at 5 kHz ( Supplementary Table 1 ) ( 26 , 36 ).…”

Section: Methodsmentioning

confidence: 99%

“…In addition, segmental BIA evaluates the body segmentally by considering the arms, legs, and trunk as five separate cylinders, and provides R, Xc, and PA measurements for each segment independently (Inbody S10 User's Manual) (29). Previous studies on various diseases among older people suggested different relations with segmental bioimpedance variables between the upper and lower extremities (30,31). Therefore, examining the segmental R, Xc, and PA in the upper and lower extremities may provide an insight as to how these values alter in persons with prolonged CP or cold hypersensitivity symptoms, especially in the hands and feet.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Segmental bioelectrical impedance analysis for Korean older population with cold pattern

Doan

Kim

et al. 2022

Front. Nutr.

Self Cite

View full text Add to dashboard Cite

ObjectiveThis study examined the association of whole-body composition and segmental bioimpedance variables with cold pattern (CP) in different sexes.MethodsWe assigned 667 older individuals to a CP group (n = 488) and a non-CP group (n = 179) by using an eight-item self-administered questionnaire. Seven body composition variables and three pairs of segmental bioimpedance variables for the upper and lower extremities, which were obtained from a segmental multifrequency bioimpedance analyzer, were employed to investigate their association with CP. Participants’ characteristics were first described. Then we compared the selected body composition and bioimpedance variables between the CP and non-CP groups. Finally, their association with CP was investigated using univariate and multivariate regression analyses. All analyses were performed separately for women and men.ResultsBoth women and men exhibited a comparable mean age in the CP and non-CP groups; however, women with CP had significantly lower blood pressures, whereas men with CP showed a higher proportion of osteoarthritis than those without CP. Compared with the non-CP group, individuals with CP exhibited significantly smaller body sizes indicated by shorter height and smaller weight, lower body mass index, and smaller volume-to-body surface area ratio in both sexes. After controlling for age, height, weight, and other covariates, we found significant reductions in body lean mass such as fat-free mass and body cell mass, basal metabolic rate per unit mass, total body water, and intra-to-extracellular water ratio in the CP group. With regard to segmental bioimpedance analysis, the resistance ratios and phase angles in the upper and lower extremities yield significant associations with CP incidence, as demonstrated by the odds ratio (95% confidence interval) of 1.72 (1.16–2.57), 1.69 (1.18–2.48), 0.60 (0.40–0.89), and 0.57 (0.39–0.82), respectively. However, these results did not emerge in men.ConclusionAbnormal cellular water distribution and deterioration in body cell mass and/or cell strength are associated with CP prevalence, regardless of age, height, weight. These findings are similar in the upper and lower extremities and are more pronounced in women. The abovementioned patterns may be considered effective indicators for identifying CP in the older adult population.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Segmental bioelectrical impedance analysis for Korean older population with cold pattern

Doan

Kim

et al. 2022

Front. Nutr.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, a study reported positive correlations between muscle mass percentage and cognitive function measures such as attention and executive function ( Crespillo-Jurado et al, 2019 ). Recent research has also revealed associations between MCI and increased segmental water and lean mass in the lower extremities, as well as decreased resistance and reactance in the lower extremities ( Doan et al, 2022b ).…”

Section: Introductionmentioning

confidence: 99%

A screening method for mild cognitive impairment in elderly individuals combining bioimpedance and MMSE

Jun,

Ku,

Kim

et al. 2024

Front. Aging Neurosci.

Self Cite

View full text Add to dashboard Cite

We investigated a screening method for mild cognitive impairment (MCI) that combined bioimpedance features and the Korean Mini-Mental State Examination (K-MMSE) score. Data were collected from 539 subjects aged 60 years or older at the Gwangju Alzheimer’s & Related Dementias (GARD) Cohort Research Center, A total of 470 participants were used for the analysis, including 318 normal controls and 152 MCI participants. We measured bioimpedance, K-MMSE, and the Seoul Neuropsychological Screening Battery (SNSB-II). We developed a multiple linear regression model to predict MCI by combining bioimpedance variables and K-MMSE total score and compared the model’s accuracy with SNSB-II domain scores by the area under the receiver operating characteristic curve (AUROC). We additionally compared the model performance with several machine learning models such as extreme gradient boosting, random forest, support vector machine, and elastic net. To test the model performances, the dataset was divided into a training set (70%) and a test set (30%). The AUROC values of SNSB-II scores were 0.803 in both sexes, 0.840 for males, and 0.770 for females. In the combined model, the AUROC values were 0.790 (0.773) for males (and females), which were significantly higher than those from the model including MMSE scores alone (0.723 for males and 0.622 for females) or bioimpedance variables alone (0.640 for males and 0.615 for females). Furthermore, the accuracies of the combined model were comparable to those of machine learning models. The bioimpedance-MMSE combined model effectively distinguished the MCI participants and suggests a technique for rapid and improved screening of the elderly population at risk of cognitive impairment.

show abstract

“…For example, F. A. Author is with the to attain chemical and neurological balance inside human body [3][4][5]. Which implies the chances of hormone impelled indices to be indicators of human acumen.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Adults’ Acumen with Quantified Anthropometric Indices

Islam¹,

Tara²,

Mohonta³

et al. 2022

Preprint

View full text Add to dashboard Cite

<p> This work considers adults’ acumen to be assessed with four quantified indices like cell membrane capacitance (CM), total body fat (TBF), total body water (TBW), and total body impedance (TBI) that reflect subjects’ cerebral stress handling competence in the face of intense cognitive task. Primarily, an electrical model of the epithelial tissue structure (ETS) has been represented and anatomized in the light of hormonal change happens inside human body to propose a number of preambles. An intelligence quotient (IQ) test designed to agitate mind has been conducted right before measuring body composition parameters. Finally, comprehend data operations and juxtaposed investigations to vindicate model-implied preambles along with quantified indices were made by comparing them to IQ test outcomes. Effectively innervated nervous system with homeostasis endocrine human anatomy has been reported to have CM, TBF, TBW, and TBI in the range of 1.0-2.1nF, 7.9-20%, 56.8-80%, and 470-550 Ω respectively for the subjects whose acumen is classified as “Class-A”, while “Class-B” is also presented with distinct quantified indices. These indices are expected to be paradigm of non-invasive neurological disorder detection, additionally, it can also be applied in categorizing youngsters before deploying them to highly productive tasks suitable for them. </p>

show abstract

Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment

Cited by 6 publications

References 71 publications

Segmental bioelectrical impedance analysis for Korean older population with cold pattern

Segmental bioelectrical impedance analysis for Korean older population with cold pattern

A screening method for mild cognitive impairment in elderly individuals combining bioimpedance and MMSE

Evaluation of Adults’ Acumen with Quantified Anthropometric Indices

Contact Info

Product

Resources

About