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da Silva Pinto GM, de Souza Crepalde LO, Scalli ACAM, de Oliveira MPB, Furtado GE, Brito-Costa S, Guimarães NS, de Castro Cezar NO. Body composition differences in older adults with and without Alzheimer's disease: A systematic review and meta-analysis of observational studies. J Alzheimers Dis 2025; 103:649-661. [PMID: 39791143 DOI: 10.1177/13872877241304603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2025]
Abstract
BACKGROUND Research on body composition and fat distribution in Alzheimer's disease (AD) has presented conflicting findings. OBJECTIVE Compare body composition and anthropometric measurements in older adults with and without AD. METHODS A systematic review and meta-analysis were conducted following Cochrane guidelines and PRISMA standards. MEDLINE, Embase, Scopus, LILACS, WPRIM, and the Spanish Bibliographic Index of Health Sciences were searched up to September 2024, considering observational studies that compared body composition between AD groups and controls. Outcomes included body fat percentage, body mass index (BMI), impedance, resistance, and reactance. The methodological quality and level of evidence were assessed using the Joanna Briggs Institute scale and GRADE, respectively. A random-effects meta-analysis model was used to calculate mean differences (MD). RESULTS Fourteen studies involving 2761 older adults were included. Older adult women with AD showed a lower body fat percentage (p < 0.01; MD = -5.07) and BMI (p = 0.05; MD = -1.28) compared to controls. Older adult men with AD had higher impedance (p = 0.01; MD = 2.05), resistance (p = 0.02; MD = 45.10), and lower reactance (p = 0.03; MD = -2.05) compared to controls. No significant differences in body fat percentage or BMI were found between older adults with and without AD, regardless of gender. CONCLUSIONS Women with AD showed lower body fat percentage and BMI, while men with AD had higher impedance, resistance, and lower reactance. These factors should be included in geriatric assessments for AD patients, though further research is needed to understand their link to cognitive outcomes in AD.
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Affiliation(s)
| | | | | | | | - Guilherme Eustáquio Furtado
- Institute of Applied Research, Polytechnic University of Coimbra, Coimbra, Portugal
- Center for the Study of Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Coimbra, Portugal
- Center for Innovation and Research in Sport, Physical Activity & Health (SPRINT), Polytechnic University of Coimbra, Coimbra, Portugal
| | - Sonia Brito-Costa
- Institute of Applied Research, Polytechnic University of Coimbra, Coimbra, Portugal
- InED - Center foResearch and Innovation in Education (InED), Polytechnic University of Coimbra, Coimbra, Portugal
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Wang Y, Yu S, Zhang M, Zhu H, Chen S, Zhou Y, Zhou X, Sun Z, Yu X, Zhu X, for the Alzheimer's Disease Neuroimaging Initiative. Cerebrospinal fluid Visinin-like protein-1 was associated with the relationship of body mass index with Alzheimer's disease pathology and cognition in non-demented elderly. J Alzheimers Dis Rep 2025; 9:25424823251331000. [PMID: 40182696 PMCID: PMC11967223 DOI: 10.1177/25424823251331000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Accepted: 03/04/2025] [Indexed: 04/05/2025] Open
Abstract
Background The relationship and mechanisms between body mass index (BMI) and cognition are complex and inconclusive. Additionally, the role of neuronal calcium dysfunction, reflected by cerebrospinal fluid (CSF) Visinin-like protein 1 (VILIP-1), in the mechanisms linked with BMI and Alzheimer's disease (AD) has not been investigated. Objective To investigate the relationship between CSF VILIP-1, BMI, and AD pathologies in non-demented elderly at early stages of AD. Methods Baseline CSF AD core biomarkers (amyloid-β42 [Aβ42], phosphorylated tau [P-tau], and total tau [T-tau]) were measured for 1201 non-demented participants, selected from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database, among whom 128 had measurements of CSF VILIP-1. Multivariate linear regression, causal mediation analyses, and linear mixed effects models were conducted to detect these associations. Results The average age of participants was 72.6. CSF VILIP-1 was decreased in A+/TN- (A-positive/T- and N- negative) group and elevated in A-/TN + (A-negative/T- or N-positive) and A+/TN + groups, as compared with A-/TN- group. In total participants, BMI was negatively related to CSF P-tau, T-tau, P-tau/Aβ42 and T-tau/Aβ42. Noticeable associations were also presented between CSF VILIP-1 and AD core biomarkers, but not with Aβ42 after stratification by A/T/N scheme. Furthermore, the influences of BMI on CSF tau pathology were mediated by CSF VILIP-1. Higher baseline CSF VILIP-1 correspond to faster longitudinal cognitive decline. Conclusions Our findings indicated that CSF VILIP-1 changed dynamically and might be a key mediator in the associations between BMI and tau pathology, providing new insights into understanding the mechanisms underlying BMI-related cognitive deficits in non-demented elderly.
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Affiliation(s)
- Yayu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Siqi Yu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Man Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Huaiyuan Zhu
- Department of Clinical Pharmacy, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
- Clinical Pharmacy, Henan Province Key Subjects of Medicine, the First Affiliated Hospital of Xinxiang Medical University, Weihui, China
- Xinxiang Key Laboratory for Individualized Drug Use Research for Immune Diseases, Weihui, China
| | - Shujian Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yajun Zhou
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xia Zhou
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Zhongwu Sun
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xianfeng Yu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaoqun Zhu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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Cunha TA, Lopes MMGD, de Araújo Brito AN, Vermeulen-Serpa KM, de Lima Vale SH, Brandão-Neto J, Leite-Lais L. Phase Angle and Bioelectrical Impedance Vector Analysis (BIVA) in Amyotrophic Lateral Sclerosis (ALS) Patients. APPLIED SCIENCES 2024; 14:1545. [DOI: 10.3390/app14041545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
Phase angle (PhA) and bioelectrical impedance vector analysis (BIVA) have emerged as valuable tools for assessing nutritional status and prognosis in various patient populations, but there is a lack of studies in rare neurodegenerative diseases. The purpose of this cross-sectional study was to investigate these bioelectrical parameters in patients with amyotrophic lateral sclerosis (ALS), compared with healthy peers. The tetrapolar impedance method was applied and bioimpedance analysis (BIA) was performed. Bioelectrical parameters were obtained (Resistance—R; Reactance—Xc) or calculated (PhA; BIVA). For BIVA, bivariate vectors and confidence ellipses were graphically represented. In addition, R and Xc were used to determine body composition (BC) (Fat Mass—FM; Fat-Free Mass—FFM; and Total Body Water—TBW). In this study, 40 participants were divided into two groups: case group (n = 20, ALS patients) and control group (n = 20, healthy subjects. Our main results showed that ALS patients presented low levels of BMI, FFM, R, and Xc adjusted by height (R/H, Xc/H), hydration, and cellularity, compared to the healthy subjects. Our findings highlight BC and bioelectrical parameters, including PhA and BIVA, as valuable indicators of nutrition status, which should be implemented in the nutrition care process of ALS patients during the disease course.
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Affiliation(s)
- Thais Alves Cunha
- Postgraduate Health Sciences Program, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | | | - Acsa Nara de Araújo Brito
- Postgraduate Health Sciences Program, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | | | | | - José Brandão-Neto
- Postgraduate Health Sciences Program, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
| | - Lucia Leite-Lais
- Departament of Nutrition, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil
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Jun MH, Ku B, Kim K, Lee KH, Kim JU. A screening method for mild cognitive impairment in elderly individuals combining bioimpedance and MMSE. Front Aging Neurosci 2024; 16:1307204. [PMID: 38327500 PMCID: PMC10847325 DOI: 10.3389/fnagi.2024.1307204] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
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.
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Affiliation(s)
- Min-Ho Jun
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
| | - Boncho Ku
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
- School of Korean Convergence Medical Science, University of Science and Technology, Daejeon, Republic of Korea
| | - Kahye Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
| | - Kun Ho Lee
- Gwangju Alzheimer’s Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, Republic of Korea
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea
- Dementia Research Group, Korea Brain Research Institute, Daegu, Republic of Korea
| | - Jaeuk U. Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
- School of Korean Convergence Medical Science, University of Science and Technology, Daejeon, Republic of Korea
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Doan DNT, Kim K, Ku B, Lee KH, Kim JU. Reduced body cell mass and functions in lower extremities are associated with mild cognitive impairment and Alzheimer's dementia. Sci Rep 2023; 13:13389. [PMID: 37591966 PMCID: PMC10435546 DOI: 10.1038/s41598-023-39110-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 07/20/2023] [Indexed: 08/19/2023] Open
Abstract
This study examined the alterations of segmental body composition in individuals with Alzheimer's pathology (AD), including mild cognitive impairment (MCI) and dementia. A multifrequency bioimpedance analysis (BIA) was used to provide segmental water and impedance variables from 365 cognitively normal (CN), 123 MCI due to AD, and 30 AD dementia participants. We compared the BIA variables between the three groups, examined their correlations with neuropsychological screening test scores, and illustrate their 95% confidence RXc graphs. AD dementia participants were older, more depressive, and had worse cognitive abilities than MCI due to AD and CN participants. Although the BIA variables showed weak partial correlations with the cognitive test scores, we found patterns of an increasing water content in lean mass, increasing extra to intracellular water ratio, and decreasing reactance and phase angle in the lower extremities with effect sizes ranging from 0.26 to 0.51 in the groups of MCI and dementia due to AD compared with CN individuals. The RXc graphs upheld the findings with a significant displacement downward and toward the right, dominantly in the lower extremities. Individuals with AD pathology exhibit a reduced body cell mass or cell strength, an abnormal cellular water distribution, and an overhydration status in lean mass, especially in the lower extremities.
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Affiliation(s)
- Dieu Ni Thi Doan
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
- School of Korean Convergence Medical Science, University of Science and Technology, Daejeon, South Korea
| | - Kahye Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Boncho Ku
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Kun Ho Lee
- Gwangju Alzheimer's Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
- Dementia Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Jaeuk U Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, South Korea.
- School of Korean Convergence Medical Science, University of Science and Technology, Daejeon, South Korea.
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Li A, Du J, Cai Y, Chen X, Sun K, Guo T. Body Mass Index Decrease Has a Distinct Association with Alzheimer's Disease Pathophysiology in APOE ɛ4 Carriers and Non-Carriers. J Alzheimers Dis 2023; 96:643-655. [PMID: 37840490 DOI: 10.3233/jad-230446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
BACKGROUND Body mass index (BMI) changes may be related to Alzheimer's disease (AD) alterations, but it is unclear how the apolipoprotein E ɛ4 (APOE ɛ4) allele affects their association. OBJECTIVE To explore the association of BMI changes with AD pathologies in APOE ɛ4 carriers and non-carriers. METHODS In 862 non-demented ADNI participants with≥2 BMI measurements, we investigated the relationships between BMI slopes and longitudinal changes in amyloid-β (Aβ) accumulation, neurodegeneration and cognition, and follow-up tau deposition in different Aβ and APOE ɛ4 statuses. RESULTS In Aβ+ APOE ɛ4 non-carriers, faster BMI declines were associated with faster rates of Aβ accumulation (standardized β (βstd) = -0.29, p = 0.001), AD meta regions of interest (metaROI) hypometabolism (βstd = 0.23, p = 0.026), memory declines (βstd = 0.17, p = 0.029), executive function declines (βstd = 0.19, p = 0.011), and marginally faster Temporal-metaROI cortical thinning (βstd = 0.15, p = 0.067) and higher follow-up Temporal-metaROI tau deposition (βstd = -0.17, p = 0.059). Among Aβ- individuals, faster BMI decreases were related to faster Aβ accumulation (βstd = -0.25, p = 0.023) in APOE ɛ4 carriers, whereas predicted faster declines in memory and executive function in both APOE ɛ4 carriers (βstd = 0.25, p = 0.008; βstd = 0.32, p = 0.001) and APOE ɛ4 non-carriers (βstd = 0.11, p = 0.030; βstd = 0.12, p = 0.026). CONCLUSIONS This study highlights the significance of tracking BMI data in older adults by providing novel insights into how body weight fluctuations and APOE ɛ4 interact with AD pathology and cognitive decline.
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Affiliation(s)
- Anqi Li
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Jing Du
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Yue Cai
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Xuhui Chen
- Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, China
| | - Tengfei Guo
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, China
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7
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Doan DNT, Ku B, Kim K, Jun M, Choi KY, Lee KH, Kim JU. Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment. Front Nutr 2022; 9:873623. [PMID: 35719147 PMCID: PMC9201435 DOI: 10.3389/fnut.2022.873623] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 05/04/2022] [Indexed: 11/23/2022] Open
Abstract
Objective To examine the changes in body composition, water compartment, and bioimpedance in mild cognitive impairment (MCI) individuals. Methods We obtained seven whole-body composition variables and seven pairs of segmental body composition, water compartment, and impedance variables for the upper and lower extremities from the segmental multi-frequency bioelectrical impedance analysis (BIA) of 939 elderly participants, including 673 cognitively normal (CN) people and 266 individuals with MCI. Participants’ characteristics, anthropometric information, and the selected BIA variables were described and statistically compared between the CN participants and those with MCI. The correlations between the selected BIA variables and neuropsychological tests such as the Korean version of the Mini-Mental State Examination and Seoul Neuropsychological Screening Battery – Second Edition were also examined before and after controlling for age and sex. Univariate and multivariate logistic regression analyses with estimated odds ratios (ORs) were conducted to investigate the associations between these BIA variables and MCI prevalence for different sexes. Results Participants with MCI were slightly older, more depressive, and had significantly poorer cognitive abilities when compared with the CN individuals. The partial correlations between the selected BIA variables and neuropsychological tests upon controlling for age and sex were not greatly significant. However, after accounting for age, sex, and the significant comorbidities, segmental lean mass, water volume, resistance, and reactance in the lower extremities were positively associated with MCI, with ORs [95% confidence interval (CI)] of 1.33 (1.02–1.71), 1.33 (1.03–1.72), 0.76 (0.62–0.92), and 0.79 (0.67–0.93), respectively; with presumably a shift of water from the intracellular area to extracellular space. After stratifying by sex, resistance and reactance in lower extremities remained significant only in the women group. Conclusion An increase in segmental water along with segmental lean mass and a decrease in body cell strength due to an abnormal cellular water distribution demonstrated by reductions in resistance and reactance are associated with MCI prevalence, which are more pronounced in the lower extremities and in women. These characteristic changes in BIA variables may be considered as an early sign of cognitive impairment in the elderly population.
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Affiliation(s)
- Dieu Ni Thi Doan
- Department of Digital Health Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
- Korean Convergence Medicine, University of Science and Technology, Daejeon, South Korea
| | - Boncho Ku
- Department of Digital Health Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Kahye Kim
- Department of Digital Health Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Minho Jun
- Department of Digital Health Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer’s Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea
| | - Kun Ho Lee
- Gwangju Alzheimer’s Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, South Korea
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
- Dementia Research Group, Korea Brain Research Institute, Daegu, South Korea
| | - Jaeuk U. Kim
- Department of Digital Health Research, Korea Institute of Oriental Medicine, Daejeon, South Korea
- Korean Convergence Medicine, University of Science and Technology, Daejeon, South Korea
- *Correspondence: Jaeuk U. Kim,
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Ou Q, Zhou C, Tian M, Yang X, Zha Y. Study on Correlation between Body Cell Mass Index and Cognitive Impairment in Hemodialysis Maintaining Patients: A Cross-Sectional Study. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:9023562. [PMID: 35281528 PMCID: PMC8913052 DOI: 10.1155/2022/9023562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/25/2021] [Accepted: 02/01/2022] [Indexed: 11/18/2022]
Abstract
Objective To investigate the relationship between body cell mass index (BCMI) and cognitive impairment in maintaining hemodialysis (MHD) patients. Methods We collected the general materials, laboratory indexes, and physical measurement indexes of patients undergoing maintenance hemodialysis in hemodialysis centers of 20 tertiary and tertiary general hospitals in Guizhou Province from June to September 2020. The body composition was measured by bioelectrical impedance method, and the BCMI value was calculated. The subjects were divided into normal cognitive function group (score ≥27), mild cognitive impairment group (score 23-26), and severe cognitive impairment group (score <23). Two groups of people with normal cognitive function and cognitive impairment with similar baseline data (gender, age, and education) were obtained by propensity score matching (PSM). Results A total of 2008 subjects were included in this study, including 467 cases (23.3%) in the cognitive impairment group. A total of 814 cases were accurately matched after PSM. Multivariate logistic regression analysis showed that the incidence risk of the BCMI Q1 group was 8.99 times higher than that of the Q4 group (95% CI: 5.74 ∼ 14.09, P < 0.001). ROC curve analysis showed that the best threshold of BCMI for predicting cognitive impairment in MHD patients was 9.05, the sensitivity and specificity were 71.5% and 62.7%, respectively, and the area under the curve was 0.713 (95% CI: 0.678 ∼ 0.748, P < 0.001). Conclusions BCMI is related to cognitive impairment in MHD patients and has predictive value for the onset of cognitive impairment in MHD patients.
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Affiliation(s)
- Qinqin Ou
- Zunyi Medical University, Zunyi 563000, China
| | - Chaomin Zhou
- Department of Nephrology, Guizhou Provincial People′s Hospital, Guiyang 550002, China
| | - Maolu Tian
- Department of Nephrology, Guizhou Provincial People′s Hospital, Guiyang 550002, China
| | | | - Yan Zha
- Zunyi Medical University, Zunyi 563000, China
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Geng H, Wang S, Jin Y, Cheng N, Song B, Shu S, Li B, Han Y, Han Y, Gao L, Ding Z, Xu Y, Wang X, Ma Z, Sun Y. Nutritional Status and Body Composition in Wilson Disease: A Cross-Sectional Study From China. Front Nutr 2022; 8:790520. [PMID: 35036410 PMCID: PMC8759200 DOI: 10.3389/fnut.2021.790520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/24/2021] [Indexed: 12/01/2022] Open
Abstract
Background: Abnormal nutritional status is frequently seen in patients with chronic diseases. To date, no study has investigated the detailed characteristics of abnormal nutritional status among Wilson's disease (WD) patients in the Chinese cohort. This study aimed to describe the nutritional status of WD patients, with a particular focus on the differences between patients with different phenotypes. Methods: The study subjects comprised 119 healthy controls, 129 inpatients (hepatic subtype, n = 34; neurological subtype, n = 95) who were being treated at the affiliated hospital of the Institute of Neurology, Anhui University of Chinese Medicine. All of the subjects were assessed for body composition by using bioelectrical impedance analysis. All WD patients received anthropometry, nutritional risk screening 2002 (NRS2002), and laboratory test (hemocyte and serum biomarkers) additionally. Results: Compared with healthy controls, the fat mass and rate of total body and trunk were significantly higher in WD patients (P < 0.001), the muscle and skeletal muscle mass of total body and trunk were significantly lower in WD patients (P < 0.001). Compared with hepatic subtype patients, the fat mass and rate of total body, trunk, and limbs were significantly lower in neurological subtype patients (P<0.01); while there were no significant differences in muscle and skeletal muscle between these two subtypes. The overall prevalence of abnormal nutritional status in WD patients was 43.41% (56/129). The prevalence of high-nutritional risk and overweight in WD patients was 17.83% (23 of 129) and 25.58% (33 of 129), respectively. Compare with patients with high nutritional risk, macro platelet ratio, alkaline phosphatase, the basal metabolic rate (p < 0.05), creatinine, trunk fat rate (p < 0.01) and appendicular skeletal muscle mass (p < 0.001) were significantly higher in patients without nutritional risk (p < 0.001). Patients with a high nutritional risk tend to have a lower cholinesterase concentration (x2 = 4.227, p < 0.05). Conclusion: Both patients with H-subtype and N-subtype are prone to have an abnormal nutritional status. Longitudinal studies are required to investigate if nutritional status and body composition could reflect prognosis in WD patients, and which of these body composition indexes contribute to malnutrition and worse prognosis.
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Affiliation(s)
- Hao Geng
- Laboratory of Sports and Nutrition Information Technology, Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.,Department of Biophysics, University of Science and Technology of China, Hefei, China.,Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Shijing Wang
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Yan Jin
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Nan Cheng
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Bin Song
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Shan Shu
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Bo Li
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Yongsheng Han
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Yongzhu Han
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Lishen Gao
- Laboratory of Sports and Nutrition Information Technology, Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.,Department of Biophysics, University of Science and Technology of China, Hefei, China
| | - Zenghui Ding
- Laboratory of Sports and Nutrition Information Technology, Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.,Department of Biophysics, University of Science and Technology of China, Hefei, China
| | - Yang Xu
- Laboratory of Sports and Nutrition Information Technology, Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.,Department of Biophysics, University of Science and Technology of China, Hefei, China
| | - Xun Wang
- Hospital Affiliated to the Institute of Neurology, Anhui University of Chinese Medicine, Hefei, China
| | - Zuchang Ma
- Laboratory of Sports and Nutrition Information Technology, Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.,Department of Biophysics, University of Science and Technology of China, Hefei, China
| | - Yining Sun
- Laboratory of Sports and Nutrition Information Technology, Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China.,Department of Biophysics, University of Science and Technology of China, Hefei, China
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Cova I, Mariani C, Maggiore L, Muzio F, Pantoni L, Pomati S. Nutritional status and body composition by bioelectrical impedance vector analysis: a longitudinal study in patients with Alzheimer's disease. Aging Clin Exp Res 2022; 34:219-221. [PMID: 33963490 DOI: 10.1007/s40520-021-01869-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 04/21/2021] [Indexed: 11/26/2022]
Affiliation(s)
- I Cova
- Centre for Research and Treatment on Cognitive Dysfunctions, Institute of Clinical Neurology, ASST Fatebenefratelli-Sacco, "Luigi Sacco" University Hospital, Milan, Italy.
| | - C Mariani
- "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - L Maggiore
- Centre for Research and Treatment on Cognitive Dysfunctions, Institute of Clinical Neurology, ASST Fatebenefratelli-Sacco, "Luigi Sacco" University Hospital, Milan, Italy
| | - F Muzio
- Dietetic and Clinical Nutrition Unit, ASST Fatebenefratelli-Sacco, "Luigi Sacco" University Hospital, Milan, Italy
| | - L Pantoni
- "Luigi Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - S Pomati
- Centre for Research and Treatment on Cognitive Dysfunctions, Institute of Clinical Neurology, ASST Fatebenefratelli-Sacco, "Luigi Sacco" University Hospital, Milan, Italy
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Hoen L, Pfeffer D, Zapf R, Raabe A, Hildebrand J, Kraft J, Kalkhof S. Association of Drug Application and Hydration Status in Elderly Patients. Nutrients 2021; 13:1929. [PMID: 34199738 PMCID: PMC8226953 DOI: 10.3390/nu13061929] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/29/2021] [Accepted: 05/31/2021] [Indexed: 11/16/2022] Open
Abstract
Due to multifactorial reasons, such as decreased thirst and decreased total body water, elderly patients are vulnerable to dehydration. Mild cognitive impairment (MCI) or dementia increase the risk of dehydration and, in turn, dehydration decreases cognitive performance. The study aims to identify and assess differences in hydration status, taking into account patients' drug treatment and diseases, using bioelectrical impedance vector analysis (BIVA), thereby revealing unfavorable aspects of prognosis. 447 geriatric patients (241 women, 206 men) including information on medication and bioelectrical impedance analysis (BIA) were investigated, which allowed studying the association between 40 drugs and the hydration status. First, patients were divided into disease groups. Renal disease and diuretic treatment were significantly different in both sexes, whereas cardiovascular patients differed exclusively for females. Next, drug enrichment was examined in either hyperhydrated or dehydrated patients. Simvastatin, candesartan, bisoprolol, amlodipine, olmesartan, furosemide, torasemide, allopurinol, mirtazapine, pantoprazole, cholecalciferol, and resveratrol showed enrichment depending on hydration status. This study demonstrated that patients can be differentiated and stratified by BIVA, taking into account medication and disease associated with hydration status. Although patients diagnosed with MCI and therefore treated with resveratrol, BIVA still showed evaluated dehydration. This is unfavorable in terms of prognosis and requires special attention.
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Affiliation(s)
- Laura Hoen
- Institute for Bioanalysis, Coburg University of Applied Sciences and Arts, Friedrich-Streib-Str. 2, D-96450 Coburg, Germany; (L.H.); (D.P.); (R.Z.); (J.H.)
| | - Daniel Pfeffer
- Institute for Bioanalysis, Coburg University of Applied Sciences and Arts, Friedrich-Streib-Str. 2, D-96450 Coburg, Germany; (L.H.); (D.P.); (R.Z.); (J.H.)
- Division of Geriatrics, Klinikum Coburg GmbH, Ketschendorfer Str. 33, D-96450 Coburg, Germany;
| | - Rico Zapf
- Institute for Bioanalysis, Coburg University of Applied Sciences and Arts, Friedrich-Streib-Str. 2, D-96450 Coburg, Germany; (L.H.); (D.P.); (R.Z.); (J.H.)
- Division of Geriatrics, Klinikum Coburg GmbH, Ketschendorfer Str. 33, D-96450 Coburg, Germany;
| | - Andrea Raabe
- Division of Nephrology, Klinikum Coburg GmbH, Ketschendorfer Str. 33, D-96450 Coburg, Germany;
| | - Janosch Hildebrand
- Institute for Bioanalysis, Coburg University of Applied Sciences and Arts, Friedrich-Streib-Str. 2, D-96450 Coburg, Germany; (L.H.); (D.P.); (R.Z.); (J.H.)
| | - Johannes Kraft
- Division of Geriatrics, Klinikum Coburg GmbH, Ketschendorfer Str. 33, D-96450 Coburg, Germany;
| | - Stefan Kalkhof
- Institute for Bioanalysis, Coburg University of Applied Sciences and Arts, Friedrich-Streib-Str. 2, D-96450 Coburg, Germany; (L.H.); (D.P.); (R.Z.); (J.H.)
- Protein Biomarker Unit, Fraunhofer Institute for Cell Therapy and Immunology, Perlickstr. 1, D-04103 Leipzig, Germany
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The use of bioelectrical impedance vector analysis for a nutritional evaluation of older adults in the community. Exp Gerontol 2021; 147:111276. [PMID: 33571661 DOI: 10.1016/j.exger.2021.111276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 01/08/2021] [Accepted: 02/06/2021] [Indexed: 11/22/2022]
Abstract
INTRODUCTION The body composition of an older adult person is characterized by an increase in body fat, as well as by a reduction in both muscle mass and total body water. The bioelectrical impedance vector analysis (BIVA) overcomes the limits imposed by bioelectrical impedance, since it only requires the resistance (R) and reactance (Xc) values, standardized by the individual's height, which makes the method more individualized and accurate. The aim of this study was to evaluate the body composition using the BIVA of the community-living older adults, with regard to sex and body mass index (BMI) classification, and compare the results with the reference population. METHODS Cross-sectional study with the community-living older adults of both sexes. Bioimpedance was carried out and the R and Xc data analyzed, based on height, and plotted on RXc graphs. RESULTS One hundred and forty-four older adults (n = 33 men; n = 111 women; mean age of 80.2 ± 9.2 years) participated in the study. Low weight (<23 kg/m2) was the most prevalent in BMI classification. The older adult women presented a higher average BMI, body fat percentage and R/Height values, while the older adult men presented a higher average for fat-free mass and the phase angle (p < 0.05). The older adult, regardless of their BMI, located in the right quadrant, indicated cachexia; those with low weight were dehydrated, and those with overweight (BMI ≥ 28 kg/m2) presented hyperhydration. CONCLUSION The majority of the older adults with normal weight or overweight has impedance vectors indicating loss of muscle mass and water imbalance (dehydration or hyperhydration).
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Mueller TC, Reik L, Prokopchuk O, Friess H, Martignoni ME. Measurement of body mass by bioelectrical impedance analysis and computed tomography in cancer patients with malnutrition - a cross-sectional observational study. Medicine (Baltimore) 2020; 99:e23642. [PMID: 33327343 PMCID: PMC7738080 DOI: 10.1097/md.0000000000023642] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Malnutrition and cachexia affects the majority of cancer patients and significantly worsens their quality of life and prognosis. However, the diagnostic criteria of malnutrition and cachexia remain a topic under constant debate. To overcome this hurdle, diagnostic tools to objectively detect and quantify the loss of muscle and fat mass are needed. Computed tomography (CT)-based measurement is currently considered the golden standard. Bioelectrical impedance analysis (BIA) is an economical, non-invasive tool but it is seen controversial in patients with cancer and malnutrition because of possible estimation errors.BIA and CT-based analysis of body mass compartments were performed 172 times in 118 cancer patients, within the nutrition program of our institution. Prevalence of malnutrition was determined according to the global leadership initiative on malnutrition criteria. Data obtained for muscle and fat mass from both BIA and CT were correlated using Pearson's ρ. All analyses were performed with an explorative significance level of 5%.45.7% of the cohort were classified as "malnourished." No significant differences were observed between the 2 groups regarding demographic data. Median body mass index, Karnofsky performance status, and nutritional risk score were lower in the malnourished group. Values for muscle and fat mass by BIA and CT were significantly lower in malnourished patients. Correlation of the measured parameters were highly significant between CT-based and BIA measurement. In the overall cohort, correlation of measured muscle mass values by CT and BIA was significant with Pearson's ρ = 0.794 (P < .01). Looking at patients without malnutrition only, Pearson's ρ was 0.754 (P < .01). The correlation of measured fat mass values was equally significant, with Pearson's ρ of 0.748 (P < .01) in the overall cohort and 0.771 (P < .01) in patients with malnutrition.To our knowledge, this is the first study comparing BIA to CT-based body mass analysis in a large cohort of cancer patients with malnutrition. The results suggest that BIA is a valid diagnostic tool for the assessment of muscle and fat mass, even in patients with malnutrition, and could be implemented for the early detection and short-term follow-up of malnutrition and cachexia.
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Associations between Phase Angle Values Obtained by Bioelectrical Impedance Analysis and Nonalcoholic Fatty Liver Disease in an Overweight Population. Can J Gastroenterol Hepatol 2020; 2020:8888405. [PMID: 32832491 PMCID: PMC7426783 DOI: 10.1155/2020/8888405] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/22/2020] [Accepted: 06/25/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE There is a limited diagnosis of nonalcoholic fatty liver disease (NAFLD). Thus, the noninvasive assessments are worth exploring. We determined the associations of phase angles (PhAs) obtained from bioelectric impedance analysis (BIA) with the risk of NAFLD in an overweight population. METHODS A study involving 953 overweight participants was conducted in Wuhan city, China. The associations between PhAs (right arm, left arm, body trunk, right leg, left leg, and whole body) and the risk of NAFLD were conducted using multivariate logistic regression analyses. The associations of PhAs with the controlled attenuation parameter (CAP), a noninvasive assessment of liver steatosis and fibrosis, were also evaluated by both linear and logistic regression analyses. RESULTS The PhA values of the whole body, trunk, and legs were significantly lower (P < 0.05) in the NAFLD group than the non-NAFLD group. After adjustment for BMI, gender, education, income/year, hyperlipidemia, hypertension, diabetes, smoking, passive smoking, and drinking, significant associations of PhA values of the right leg, left leg, and whole body with the risk of NAFLD were observed. In addition, the PhA of the right leg, left leg, and whole body were significantly related to the CAP values. Further stratified analyses indicated that these associations were significant in the participants with BMI <30, but not in the participants with BMI ≥30. CONCLUSIONS PhAs might be effective indicators in the management of NAFLD among overweight people.
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Martínez-Tomé M, Murcia MA, Rosario C, Mariscal-Arcas M, Jiménez-Monreal AM. Different Methods to Assess the Nutritional Status of Alzheimer Patients. J Am Coll Nutr 2020; 40:86-93. [PMID: 32213008 DOI: 10.1080/07315724.2020.1737594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To assess the body composition and nutritional state of patients with Alzheimer's (Global Deterioration Scale GDS-4) using different methods and to investigate the correlation among methods. METHODS A total of 25 Alzheimer GDS-4 patients participated in this transversal descriptive observational study, which used anthropometry, Mini Nutritional Assessment (MNA), the Nutrition Screening Initiative Check List (NSI) and a 24-hour recall questionnaire (R24h). RESULTS Anthropometric observations pointed to obesity in patients of both sexes. The MNA showed that 76% of the population was "at risk of malnutrition", and the NSI suggested that 32% had a high nutritional risk, 48% had an "average" nutritional risk, and the remaining 20% a low nutritional risk. The Bland-Alman concordance plot between the NSI and MNA tests pointed to a high degree of agreement, meaning that both tests provided similar results for the group of studied subjects. The nutritional analysis, based on the Kruskal-Wallis test, showed there were significant differences between R24h and MNA in the case of ascorbic acid, iron, zinc and potassium (p < 0.05), and between R24h and NSI in the case of the double unsaturation index and vitamin D3 (p < 0.05). These results suggest that both questionnaires are equally valid for evaluating the nutritional status of Alzheimer patients. CONCLUSION Although the NSI and MNA tests provide similar results, we recommend an initial nutritional assessment using the NSI since it is short but provides information on any alteration in food intake as a result of restrictions and/or metabolic alterations.
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Affiliation(s)
- Magdalena Martínez-Tomé
- Faculty Medicine, Area of Nutrition, Regional Campus of International Excellence "Campus Mare Nostrum", Murcia University, Murcia, Spain.,CIBER CB12/03/30038 Fisiopatología de la Obesidad y la Nutrición, CIBERobn, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - M Antonia Murcia
- Faculty Medicine, Area of Nutrition, Regional Campus of International Excellence "Campus Mare Nostrum", Murcia University, Murcia, Spain.,CIBER CB12/03/30038 Fisiopatología de la Obesidad y la Nutrición, CIBERobn, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Claudia Rosario
- Hospital General Montemorelos. Universidad de Montemorelos, Nuevo León, México
| | | | - Antonia M Jiménez-Monreal
- Faculty Medicine, Area of Nutrition, Regional Campus of International Excellence "Campus Mare Nostrum", Murcia University, Murcia, Spain.,CIBER CB12/03/30038 Fisiopatología de la Obesidad y la Nutrición, CIBERobn, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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Sun Z, Wang ZT, Sun FR, Shen XN, Xu W, Ma YH, Dong Q, Tan L, Yu JT. Late-life obesity is a protective factor for prodromal Alzheimer's disease: a longitudinal study. Aging (Albany NY) 2020; 12:2005-2017. [PMID: 31986486 PMCID: PMC7053604 DOI: 10.18632/aging.102738] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 12/31/2019] [Indexed: 12/20/2022]
Abstract
Higher body mass index (BMI) in late-life has recently been considered as a possible protective factor for Alzheimer's disease (AD), which yet remains conflicting. To test this hypothesis, we have evaluated the cross-sectional and longitudinal associations of BMI categories with CSF biomarkers, brain β-amyloid (Aβ) load, brain structure, and cognition and have assessed the effect of late-life BMI on AD risk in a large sample (n = 1,212) of non-demented elderly from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. At baseline, higher late-life BMI categories were associated with higher levels of CSF Aβ42 (p=0.037), lower levels of CSF total-tau (t-tau, p=0.026) and CSF t-tau/Aβ42 (p=0.008), lower load of Aβ in the right hippocampus (p=0.030), as well as larger volumes of hippocampus (p<0.0001), entorhinal cortex (p=0.009) and middle temporal lobe (p=0.040). But no association was found with CSF phosphorylated-tau (p-tau) or CSF p-tau/Aβ42. Longitudinal studies showed that higher BMI individuals experienced a slower decline in cognitive function. In addition, Kaplan–Meier survival analysis revealed that higher late-life BMI had a reduced risk of progression to AD over time (p = 0.009). Higher BMI in late-life decreased the risk of AD, and this process may be driven by AD-related biomarkers.
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Affiliation(s)
- Zhen Sun
- Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China
| | - Zuo-Teng Wang
- College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China
| | - Fu-Rong Sun
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Xue-Ning Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Nanjing, China.,College of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China.,Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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- Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
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Associations of AD Biomarkers and Cognitive Performance with Nutritional Status: The NUDAD Project. Nutrients 2019; 11:nu11051161. [PMID: 31126170 PMCID: PMC6566264 DOI: 10.3390/nu11051161] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 05/15/2019] [Accepted: 05/21/2019] [Indexed: 11/17/2022] Open
Abstract
As malnutrition is common in patients with Alzheimer’s disease (AD), we evaluated nutritional status and body composition of patients with AD, mild cognitive impairment (MCI) and controls, and studied associations of AD biomarkers and cognitive performance with nutritional status and body composition. We included 552 participants, of which 198 patients had AD, 135 patients had MCI and 219 controls. We assessed nutritional status (mini nutritional assessment (MNA)) and body composition (body mass index (BMI), fat-free mass (FFM) and waist circumference). Linear regression analyses (adjusted for age, gender and education where appropriate) were applied to test associations of AD biomarkers and cognitive performance on five domains with nutritional parameters (dependent). Patients with MCI and AD had a lower BMI and MNA score than controls. Worse performance in all cognitive domains was associated with lower MNA score, but not with body composition. AD biomarkers were associated with MNA score, BMI and waist circumference, and associations with MNA score remained after adjustment for cognitive performance. Both AD biomarkers and cognitive performance were associated with nutritional status, associations with AD biomarkers remained after adjustment for cognition. Our data suggest that malnutrition is not only related to impaired cognition but also to AD pathology.
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Vermeulen KM, Lopes MMGD, Grilo EC, Alves CX, Machado RJA, Lais LL, Brandão-Neto J, Vale SHL. Bioelectrical impedance vector analysis and phase angle in boys with Duchenne muscular dystrophy. Food Nutr Res 2019; 63:1615. [PMID: 31007651 PMCID: PMC6458958 DOI: 10.29219/fnr.v63.1615] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 03/19/2019] [Accepted: 03/20/2019] [Indexed: 12/14/2022] Open
Abstract
Background Duchenne muscular dystrophy (DMD) is a disease characterized by progressive loss of functional muscle mass followed by changes in body composition. Objective This study aimed to describe and evaluate bioimpedance parameters in boys with DMD. Design This cross-sectional, descriptive study investigated children and adolescents diagnosed with DMD. Age, weight, height, resistance, and reactance data were collected. Phase angle and bioelectrical impedance vector analysis were calculated based on resistance and reactance values. Results We analyzed 43 boys aged between 2.7 and 19.8 years. Low-phase angle values were observed during the investigation of bioimpedance parameters. Bioelectrical impedance vector analysis showed that approximately 87% of the subjects presented vectors outside the tolerance ellipses, and only one patient presented vectors located within the 50% tolerance ellipse, indicating normally hydrated and a good body cell mass. Compared with the reference population, boys with DMD had lower levels of body cell mass. Conclusion Based on the evidence, compared with the reference population, patients with DMD had lower levels of body cell mass. This evidence points to bioimpedance parameters as useful tools for the nutritional evaluation and clinical management of patients with DMD.
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Affiliation(s)
- Karina M Vermeulen
- Postgraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Márcia M G D Lopes
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Evellyn C Grilo
- Postgraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Camila X Alves
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Richele J A Machado
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Lucia L Lais
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil
| | - José Brandão-Neto
- Departament of Internal Medicine, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Sancha H L Vale
- Department of Nutrition, Federal University of Rio Grande do Norte, Natal, Brazil
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Martín ISM, Barato VP, Oliva SL, Rodríguez M, Yurrita LC, Cabañas MJC, Rojo SS, de la Calle L, Díaz EÁ, Santos YQ, Pascual PE, Nieto MV, Vilar EG. Body Composition, Dietary, and Gustatory Function Assessment in People With Alzheimer's Disease. Am J Alzheimers Dis Other Demen 2018; 33:508-515. [PMID: 29916258 PMCID: PMC10852479 DOI: 10.1177/1533317518782173] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2024]
Abstract
OBJECTIVES Observe the association of foods habits, body composition, lifestyle habits, and loss of gustatory function with Alzheimer's disease (AD). METHODS This comparative study enrolled 75 patients with AD (mean age 77.5 years) and 267 healthy volunteers (mean age 73 years). Weight, height, body mass index (BMI), body fat, visceral fat, muscle mass, and waist circumference were measured. Adherence to the Mediterranean diet was measured by the Mediterranean-Diet-Adherence Screener. Gustatory function was investigated using a threshold and triangle test. RESULTS Cases with AD presented lower BMI and weight and higher sleep hours, being statistically significant the difference between cases and controls ( P = .02; P = .001; P = .001, respectively). Patients with AD showed lower adherence to exercise and Mediterranean diet as shown by the Mediterranean Diet Adherence Screener-score (8.12 ± 2.5 vs 8.65 ± 2.4). The gustatory function was impaired in patients with AD when compared to controls. CONCLUSION Patients with AD show worst outcomes in terms of anthropometric measurements, lifestyle habits (diet, exercise), and gustatory function than controls.
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Affiliation(s)
| | - Víctor Paredes Barato
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Sara López Oliva
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Marta Rodríguez
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Luis Collado Yurrita
- Medicine Department, Universidad Complutense de Madrid, Plaza de Ramón y Cajal, Ciudad Universitaria, Madrid, Spain
| | - Maria José Ciudad Cabañas
- Medicine Department, Universidad Complutense de Madrid, Plaza de Ramón y Cajal, Ciudad Universitaria, Madrid, Spain
| | - Sara Sanz Rojo
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Licia de la Calle
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Elena Ávila Díaz
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Yaiza Quevedo Santos
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | | | - Marta Villanueva Nieto
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
| | - Elena Garicano Vilar
- Research Centers in Nutrition and Health (CINUSA group), Paseo de la Habana, Madrid, Spain
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Grande G, Vanacore N, Vetrano DL, Cova I, Rizzuto D, Mayer F, Maggiore L, Ghiretti R, Cucumo V, Mariani C, Cappa SF, Pomati S. Free and cued selective reminding test predicts progression to Alzheimer’s disease in people with mild cognitive impairment. Neurol Sci 2018; 39:1867-1875. [DOI: 10.1007/s10072-018-3507-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 07/18/2018] [Indexed: 10/28/2022]
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21
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Mereu E, Succa V, Buffa R, Sanna C, Mereu RM, Catte O, Marini E. Total body and arm bioimpedance in patients with Alzheimer's disease. Exp Gerontol 2018; 102:145-148. [DOI: 10.1016/j.exger.2017.11.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Revised: 11/16/2017] [Accepted: 11/20/2017] [Indexed: 12/11/2022]
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Mathys J, Gholamrezaee M, Henry H, von Gunten A, Popp J. Decreasing body mass index is associated with cerebrospinal fluid markers of Alzheimer's pathology in MCI and mild dementia. Exp Gerontol 2017; 100:45-53. [PMID: 29054536 DOI: 10.1016/j.exger.2017.10.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 09/19/2017] [Accepted: 10/16/2017] [Indexed: 01/24/2023]
Abstract
BACKGROUND Several studies have identified an association between body mass index (BMI) and the incidence and severity of Alzheimer's disease (AD) but this relationship is not fully understood. OBJECTIVE The primary objective of this study was to assess the possible association between BMI and cerebrospinal fluid (CSF) biomarkers of AD pathology in subjects with normal cognition and cognitive impairment. The secondary objective was to test whether BMI may contribute to improve the accuracy of a clinical model to predict AD pathology in memory clinic patients with cognitive impairment. METHOD One hundred and seven elderly subjects with cognitive impairment (91 memory clinic patients with mild cognitive impairment [MCI] and 16 with dementia of AD type) and 55 cognitively healthy volunteers were included in this study. All subjects received a comprehensive clinical and neuropsychological evaluation and a lumbar puncture for CSF biomarker analysis. Multiple linear regressions and receiver operating characteristic (ROC) analyses were carried out to assess the association between BMI and the CSF biomarkers of AD pathology. RESULTS BMI was positively correlated with the CSF levels of Aβ42 and negatively with tau and P-tau181 in participants with cognitive impairment. The associations were independent of age, sex, educational level, type and severity of cognitive impairment, cerebrovascular risk factors and the presence of the APOEε4 allele. Furthermore, BMI significantly improved the sensitivity and specificity of a multi-factorial model to predict the presence of an AD CSF biomarker profile. CONCLUSION Lower BMI is associated with cerebral AD pathology rather than with cognitive impairment in elderly subjects with MCI and mild dementia. Along with other clinical factors, decreasing BMI may help the clinician to identify patients with cognitive impairment due to AD.
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Affiliation(s)
- Jules Mathys
- Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Mehdi Gholamrezaee
- Departement of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Hugues Henry
- Departement of Laboratory Medicine, University Hospital of Lausanne, Lausanne, Switzerland
| | - Armin von Gunten
- Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland
| | - Julius Popp
- Old Age Psychiatry, Department of Psychiatry, University Hospital of Lausanne, Lausanne, Switzerland; Geriatric Psychiatry, Geneva University Hospitals and University of Geneva, Switzerland.
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