Nutritional status and body composition by bioelectrical impedance vector analysis: A cross sectional study in mild cognitive impairment and Alzheimer’s disease
Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional sta...
Saved in:
| Published in | PloS one Vol. 12; no. 2; p. e0171331 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
10.02.2017
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).
A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender.
Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001).
Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. |
|---|---|
| AbstractList | Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).
A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender.
Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001).
Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender. Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T.sup.2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T.sup.2 test: men = 18.2; women = 16.9; p<0,001). Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. Aims Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). Methods A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender. Results Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9; p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001). Conclusion Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. AimsAnalysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).MethodsA cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender.ResultsSociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001).ConclusionBioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. Aims Analysis of nutritional status and body composition in Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). Methods A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender. Results Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females’ age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling’s T 2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling’s T 2 test: men = 18.2; women = 16.9; p<0,001). Conclusion Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. Aims Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). Methods A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender. Results Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T.sup.2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T.sup.2 test: men = 18.2; women = 16.9; p<0,001). Conclusion Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).AIMSAnalysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).A cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender.METHODSA cross-sectional study was performed in a University-Hospital setting, recruiting 59 patients with AD, 34 subjects with MCI and 58 elderly healthy controls (HC). Nutritional status was assessed by anthropometric parameters (body mass index; calf, upper arm and waist circumferences), Mini Nutritional Assessment (MNA) and body composition by bioelectrical impedance vector analysis (BIVA). Variables were analyzed by analysis of variance and subjects were grouped by cognitive status and gender.Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001).RESULTSSociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. MNA score was significantly lower in AD patients than in HC; MCI subjects achieved intermediate scores. AD patients (both sexes) had significantly (p<0.05) higher height-normalized impedance values and lower phase angles (body cell mass) compared with HC; a higher ratio of impedance to height was found in men with MCI with respect to HC. With BIVA method, MCI subjects showed a significant displacement on the RXc graph on the right side indicating lower soft tissues (Hotelling's T2 test: men = 10.6; women = 7.9;p < 0,05) just like AD patients (Hotelling's T2 test: men = 18.2; women = 16.9; p<0,001).Bioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI.CONCLUSIONBioelectrical parameters significantly differ from MCI and AD to HC; MCI showed an intermediate pattern between AD and HC. Longitudinal studies are required to investigate if BIVA could reflect early AD-changes in body composition in subjects with MCI. |
| Audience | Academic |
| Author | Pomati, Simone Mariani, Claudio Ghiretti, Roberta Maggiore, Laura Cucumo, Valentina Cova, Ilaria Forcella, Marica Grande, Giulia Muzio, Fulvio |
| AuthorAffiliation | 2 Dietetic and Clinical Nutrition Unit, ASST Fatebenefratelli-Sacco, "Luigi Sacco" University Hospital, Milan, Italy 1 Center for Research and Treatment on Cognitive Dysfunctions, Institute of Clinical Neurology, Department of Clinical Sciences, ASST Fatebenefratelli-Sacco, “Luigi Sacco” University Hospital, Milan, Italy University Of São Paulo, BRAZIL |
| AuthorAffiliation_xml | – name: 1 Center for Research and Treatment on Cognitive Dysfunctions, Institute of Clinical Neurology, Department of Clinical Sciences, ASST Fatebenefratelli-Sacco, “Luigi Sacco” University Hospital, Milan, Italy – name: University Of São Paulo, BRAZIL – name: 2 Dietetic and Clinical Nutrition Unit, ASST Fatebenefratelli-Sacco, "Luigi Sacco" University Hospital, Milan, Italy |
| Author_xml | – sequence: 1 givenname: Ilaria orcidid: 0000-0001-7831-6791 surname: Cova fullname: Cova, Ilaria – sequence: 2 givenname: Simone surname: Pomati fullname: Pomati, Simone – sequence: 3 givenname: Laura surname: Maggiore fullname: Maggiore, Laura – sequence: 4 givenname: Marica surname: Forcella fullname: Forcella, Marica – sequence: 5 givenname: Valentina surname: Cucumo fullname: Cucumo, Valentina – sequence: 6 givenname: Roberta surname: Ghiretti fullname: Ghiretti, Roberta – sequence: 7 givenname: Giulia surname: Grande fullname: Grande, Giulia – sequence: 8 givenname: Fulvio surname: Muzio fullname: Muzio, Fulvio – sequence: 9 givenname: Claudio surname: Mariani fullname: Mariani, Claudio |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28187148$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNk1uL1DAUgIusuBf9B6IFQfRhxlzaNN0HYVi8LCwueHsNaXIykyVtxqRdHJ_8G7760_wlprMzsrMssvQh5eQ7X5KTnMNsr_MdZNljjKaYVvjVhR9CJ910mcJThCtMKb6XHeCakgkjiO5d-9_PDmO8QKiknLEH2T7hmFe44AfZ7w9DH2xvfVLlsZf9EHPZ6bzxepUr3y59XM_mzSpvrAcHKvEqwbZdgpadgvwyxXxIadKtoo3H-SxXwceYxzSxNQ_JZ7u8tU4n77xL1ksYJdKGFrp-verM_ViAbSH8-fkr5tpGkBEeZveNdBEebcaj7MvbN59P3k_Ozt-dnszOJqoiZT8B1ZSVRjUvsS5rQ7ksFWJK44ZjhYCB0hVSpgJNMNFYEk2JqQzmpqgLXmB6lD298i6dj2JT3igwZxUuUV1WiTi9IrSXF2IZbCvDSnhpxTrgw1zI0FvlQBSGsrLBVCpTF0piyXADdWM4oo2RhiXX681qQ9OCVqkEQbod6e5MZxdi7i9FSRHhhCTBi40g-G8DxF60NipwTnbgh3HfFeG0qGt2B5RVZUlwPRbh2Q309kJsqLlMZ7Wd8WmLapSKWcERY4TVNFHTW6j0aWitSs_W2BTfSXi5k5CYHr73cznEKE4_fbw7e_51l31-jV2AdP0iejeMjzPugk-uX8q_29j2SwKOr4D1Aw9ghLKpaZInHc06gZEYm3NbNDE2p9g0Z0oubiRv_f9N-wuqT0LC |
| CitedBy_id | crossref_primary_10_3390_nu13061929 crossref_primary_10_3233_JAD_230446 crossref_primary_10_29219_fnr_v63_1615 crossref_primary_10_3389_fnut_2021_790520 crossref_primary_10_3389_fnut_2022_873623 crossref_primary_10_5604_01_3001_0053_9658 crossref_primary_10_1080_07315724_2020_1737594 crossref_primary_10_1016_j_exger_2017_10_013 crossref_primary_10_1007_s40520_021_01869_0 crossref_primary_10_3390_nu11051161 crossref_primary_10_15857_ksep_2022_00521 crossref_primary_10_3389_fnagi_2024_1307204 crossref_primary_10_1038_s41598_023_39110_9 crossref_primary_10_1155_2022_9023562 crossref_primary_10_18632_aging_102738 crossref_primary_10_1097_MD_0000000000023642 crossref_primary_10_1177_13872877241304603 crossref_primary_10_1177_1533317518782173 crossref_primary_10_1016_j_exger_2017_11_011 crossref_primary_10_1016_j_nutos_2024_10_012 crossref_primary_10_1155_2020_8888405 crossref_primary_10_3390_app14041545 crossref_primary_10_1007_s10072_018_3507_y crossref_primary_10_1016_j_exger_2021_111276 |
| Cites_doi | 10.1016/0022-3956(82)90033-4 10.1371/journal.pone.0151710 10.1093/ajcn/64.3.387S 10.1159/000444216 10.1002/(SICI)1520-6300(1999)11:2<175::AID-AJHB5>3.0.CO;2-C 10.1016/j.amjcard.2014.10.039 10.1111/joim.12190 10.3945/ajcn.113.070466 10.1007/s12603-010-0115-9 10.1192/bjp.171.4.373 10.1016/j.clnu.2012.05.008 10.1038/ki.1994.305 10.1016/j.bbadis.2014.04.012 10.1111/ggi.12377 10.1017/S0029665112002753 10.1016/0002-8223(93)92130-P 10.1016/j.exger.2014.07.005 10.3233/JAD-150786 10.1016/j.nut.2014.06.006 10.1016/j.jalz.2011.03.005 10.1007/s12603-011-0347-3 10.1016/j.jalz.2011.03.008 10.1111/j.1532-5415.2008.01935.x |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2017 Public Library of Science 2017 Cova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2017 Cova et al 2017 Cova et al |
| Copyright_xml | – notice: COPYRIGHT 2017 Public Library of Science – notice: 2017 Cova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2017 Cova et al 2017 Cova et al |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM IOV ISR 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY RC3 7X8 5PM DOA |
| DOI | 10.1371/journal.pone.0171331 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni Edition) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection ProQuest Biological Science Collection Agricultural Science Database Health & Medical Collection (Alumni Edition) Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE Engineering Research Database Agricultural Science Database MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) |
| DocumentTitleAlternate | BIVA in MCI and AD |
| EISSN | 1932-6203 |
| ExternalDocumentID | 1867150957 oai_doaj_org_article_4f365b13acf94ca1a61be9bf803bfaf6 PMC5302822 4313196621 A480662693 28187148 10_1371_journal_pone_0171331 |
| Genre | Journal Article |
| GeographicLocations | Italy |
| GeographicLocations_xml | – name: Italy |
| GroupedDBID | --- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHMBA ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAWUL BBNVY BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO PTHSS PV9 PYCSY RNS RPM RZL SV3 TR2 UKHRP WOQ WOW ~02 ~KM CGR CUY CVF ECM EIF IPNFZ NPM PJZUB PPXIY PQGLB RIG BBORY PMFND 3V. 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ H94 K9. KL. M7N P64 PKEHL PQEST PQUKI PRINS RC3 7X8 5PM PUEGO AAPBV ABPTK ESTFP |
| ID | FETCH-LOGICAL-c725t-ecb57d09851d59f38a5c06cd1b81c0e6ecd70cf7ed212d1a2d32f7f18f4948413 |
| IEDL.DBID | M48 |
| ISSN | 1932-6203 |
| IngestDate | Sun Nov 05 00:20:54 EDT 2023 Wed Aug 27 01:31:56 EDT 2025 Thu Aug 21 14:27:47 EDT 2025 Thu Jul 10 17:18:51 EDT 2025 Fri Jul 11 03:25:04 EDT 2025 Fri Jul 25 09:22:29 EDT 2025 Tue Jun 17 21:13:47 EDT 2025 Tue Jun 10 20:31:04 EDT 2025 Fri Jun 27 03:46:31 EDT 2025 Fri Jun 27 04:50:17 EDT 2025 Thu May 22 21:07:03 EDT 2025 Mon Jul 21 05:59:33 EDT 2025 Tue Jul 01 03:12:14 EDT 2025 Thu Apr 24 22:59:43 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| License | This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Creative Commons Attribution License |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c725t-ecb57d09851d59f38a5c06cd1b81c0e6ecd70cf7ed212d1a2d32f7f18f4948413 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceptualization: IC FM CM.Data curation: IC SP.Formal analysis: IC SP.Investigation: IC.Methodology: IC SP CM FM.Project administration: IC.Resources: IC SP LM MF VC RG GG FM.Supervision: SP CM.Validation: IC SP.Visualization: IC SP.Writing – original draft: IC.Writing – review & editing: IC SP LM MF VC RG GG FM CM. Competing Interests: The authors have declared that no competing interests exist. |
| ORCID | 0000-0001-7831-6791 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1371/journal.pone.0171331 |
| PMID | 28187148 |
| PQID | 1867150957 |
| PQPubID | 1436336 |
| PageCount | e0171331 |
| ParticipantIDs | plos_journals_1867150957 doaj_primary_oai_doaj_org_article_4f365b13acf94ca1a61be9bf803bfaf6 pubmedcentral_primary_oai_pubmedcentral_nih_gov_5302822 proquest_miscellaneous_1872834996 proquest_miscellaneous_1867552191 proquest_journals_1867150957 gale_infotracmisc_A480662693 gale_infotracacademiconefile_A480662693 gale_incontextgauss_ISR_A480662693 gale_incontextgauss_IOV_A480662693 gale_healthsolutions_A480662693 pubmed_primary_28187148 crossref_citationtrail_10_1371_journal_pone_0171331 crossref_primary_10_1371_journal_pone_0171331 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2017-02-10 |
| PublicationDateYYYYMMDD | 2017-02-10 |
| PublicationDate_xml | – month: 02 year: 2017 text: 2017-02-10 day: 10 |
| PublicationDecade | 2010 |
| PublicationPlace | United States |
| PublicationPlace_xml | – name: United States – name: San Francisco – name: San Francisco, CA USA |
| PublicationTitle | PloS one |
| PublicationTitleAlternate | PLoS One |
| PublicationYear | 2017 |
| Publisher | Public Library of Science Public Library of Science (PLoS) |
| Publisher_xml | – name: Public Library of Science – name: Public Library of Science (PLoS) |
| References | JK Morris (ref27) 2014; 1842 B Schmand (ref29) 1997; 171 (ref20) 1996; 64 (ref18) 1988 RT Withers (ref8) 1999; 11 MS Albert (ref14) 2011; 7 A Piccoli (ref9) 1994; 46 Y Guigoz (ref19) 2006; 10 F Salvi (ref21) 2008; 56 MJ Renvall (ref25) 1993; 93 I Cova (ref4) 2016; 11 R Buffa (ref12) 2010; 14 I Cova (ref3) 2016; 41 TJ Doherty (ref24) 2003; 95 B Saragat (ref22) 2012; 16 JA Yesavage (ref17) 1982; 17 MF Folstein (ref16) 1975; 12 J-A Nazare (ref5) 2015; 115 R Kawakami (ref7) 2015; 15 G Grande (ref28) 2016; 51 MA Camina Martín (ref13) 2015; 31 GM McKhann (ref15) 2011; 7 A Piccoli (ref23) G Sergi (ref2) 2013; 72 R Buffa (ref11) 2014; 58 RC Petersen (ref26) 2014; 275 RC Petersen (ref1) 2014; 275 K Norman (ref10) 2012; 31 YY Al-Gindan (ref6) 2014; 100 |
| References_xml | – volume: 17 start-page: 37 year: 1982 ident: ref17 article-title: Development and validation of a geriatric depression screening scale: a preliminary report publication-title: J Psychiatr Res doi: 10.1016/0022-3956(82)90033-4 – volume: 11 start-page: e0151710 year: 2016 ident: ref4 article-title: Weight Loss Predicts Progression of Mild Cognitive Impairment to Alzheimer’s Disease publication-title: PloS One doi: 10.1371/journal.pone.0151710 – volume: 64 start-page: 387S year: 1996 ident: ref20 article-title: Bioelectrical Impedance Analysis in Body Composition Measurement. Proceedings of a National Institutes of Health Technology Assessment Conference. Bethesda, Maryland, December 12–14, 1994 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/64.3.387S – volume: 41 start-page: 172 year: 2016 ident: ref3 article-title: Body Mass Index Predicts Progression of Mild Cognitive Impairment to Dementia publication-title: Dement Geriatr Cogn Disord doi: 10.1159/000444216 – volume: 11 start-page: 175 year: 1999 ident: ref8 article-title: Critical appraisal of the estimation of body composition via two-, three-, and four-compartment models publication-title: Am J Hum Biol Off J Hum Biol Counc doi: 10.1002/(SICI)1520-6300(1999)11:2<175::AID-AJHB5>3.0.CO;2-C – volume: 115 start-page: 307 year: 2015 ident: ref5 article-title: Usefulness of measuring both body mass index and waist circumference for the estimation of visceral adiposity and related cardiometabolic risk profile (from the INSPIRE ME IAA study) publication-title: Am J Cardiol doi: 10.1016/j.amjcard.2014.10.039 – volume: 12 start-page: 189 year: 1975 ident: ref16 article-title: “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician publication-title: J Psychiatr Res – ident: ref23 – volume: 275 start-page: 214 year: 2014 ident: ref26 article-title: Mild cognitive impairment: a concept in evolution publication-title: J Intern Med doi: 10.1111/joim.12190 – volume: 100 start-page: 1041 year: 2014 ident: ref6 article-title: Derivation and validation of simple equations to predict total muscle mass from simple anthropometric and demographic data publication-title: Am J Clin Nutr doi: 10.3945/ajcn.113.070466 – volume: 14 start-page: 823 year: 2010 ident: ref12 article-title: Bioelectrical impedance vector analysis detects low body cell mass and dehydration in patients with Alzheimer’s disease publication-title: J Nutr Health Aging doi: 10.1007/s12603-010-0115-9 – volume: 171 start-page: 373 year: 1997 ident: ref29 article-title: Subjective memory complaints in the elderly: depressive symptoms and future dementia publication-title: Br J Psychiatry J Ment Sci doi: 10.1192/bjp.171.4.373 – volume: 31 start-page: 854 year: 2012 ident: ref10 article-title: Bioelectrical phase angle and impedance vector analysis—clinical relevance and applicability of impedance parameters publication-title: Clin Nutr Edinb Scotl doi: 10.1016/j.clnu.2012.05.008 – volume: 46 start-page: 534 year: 1994 ident: ref9 article-title: A new method for monitoring body fluid variation by bioimpedance analysis: the RXc graph publication-title: Kidney Int doi: 10.1038/ki.1994.305 – volume: 1842 start-page: 1340 year: 2014 ident: ref27 article-title: Is Alzheimer’s disease a systemic disease? publication-title: Biochim Biophys Acta doi: 10.1016/j.bbadis.2014.04.012 – volume: 15 start-page: 969 year: 2015 ident: ref7 article-title: Calf circumference as a surrogate marker of muscle mass for diagnosing sarcopenia in Japanese men and women publication-title: Geriatr Gerontol Int doi: 10.1111/ggi.12377 – volume: 10 year: 2006 ident: ref19 article-title: The Mini Nutritional Assessment (MNA) review of the literature—What does it tell us? publication-title: J Nutr Health Aging – year: 1988 ident: ref18 article-title: Anthropometric Standardization Reference Manual – volume: 72 start-page: 160 year: 2013 ident: ref2 article-title: Weight loss and Alzheimer’s disease: temporal and aetiologic connections publication-title: Proc Nutr Soc doi: 10.1017/S0029665112002753 – volume: 93 start-page: 47 year: 1993 ident: ref25 article-title: Body composition of patients with Alzheimer’s disease publication-title: J Am Diet Assoc doi: 10.1016/0002-8223(93)92130-P – volume: 58 start-page: 30 year: 2014 ident: ref11 article-title: Lower lean mass and higher percent fat mass in patients with Alzheimer’s disease publication-title: Exp Gerontol doi: 10.1016/j.exger.2014.07.005 – volume: 51 start-page: 57 year: 2016 ident: ref28 article-title: Reversible Mild Cognitive Impairment: The Role of Comorbidities at Baseline Evaluation publication-title: J Alzheimers Dis JAD doi: 10.3233/JAD-150786 – volume: 31 start-page: 155 year: 2015 ident: ref13 article-title: Bioimpedance vector analysis and conventional bioimpedance to assess body composition in older adults with dementia publication-title: Nutr Burbank Los Angel Cty Calif doi: 10.1016/j.nut.2014.06.006 – volume: 7 start-page: 263 year: 2011 ident: ref15 article-title: The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease publication-title: Alzheimers Dement J Alzheimers Assoc doi: 10.1016/j.jalz.2011.03.005 – volume: 16 start-page: 231 year: 2012 ident: ref22 article-title: Nutritional and psycho-functional status in elderly patients with Alzheimer’s disease publication-title: J Nutr Health Aging doi: 10.1007/s12603-011-0347-3 – volume: 275 start-page: 214 year: 2014 ident: ref1 article-title: Mild cognitive impairment: a concept in evolution publication-title: J Intern Med doi: 10.1111/joim.12190 – volume: 95 start-page: 1717 year: 2003 ident: ref24 article-title: Invited review: Aging and sarcopenia publication-title: J Appl Physiol Bethesda Md 1985 – volume: 7 start-page: 270 year: 2011 ident: ref14 article-title: The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease publication-title: Alzheimers Dement J Alzheimers Assoc doi: 10.1016/j.jalz.2011.03.008 – volume: 56 start-page: 1926 year: 2008 ident: ref21 article-title: A manual of guidelines to score the modified cumulative illness rating scale and its validation in acute hospitalized elderly patients publication-title: J Am Geriatr Soc doi: 10.1111/j.1532-5415.2008.01935.x |
| SSID | ssj0053866 |
| Score | 2.34338 |
| Snippet | Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).
A cross-sectional study was performed in a... Aims Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). Methods A cross-sectional study was... Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI). A cross-sectional study was performed in a... Aims Analysis of nutritional status and body composition in Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). Methods A cross-sectional study was... Analysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).AIMSAnalysis of nutritional status and body... AimsAnalysis of nutritional status and body composition in Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI).MethodsA cross-sectional study was... Aims Analysis of nutritional status and body composition in Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI). Methods A cross-sectional study was... |
| SourceID | plos doaj pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | e0171331 |
| SubjectTerms | Aged Aging Alzheimer Disease - epidemiology Alzheimer's disease Analysis Anthropometry Bioelectricity Biology and Life Sciences Body Composition Body mass Body mass index Body measurements Body size Care and treatment Case-Control Studies Cognitive ability Cognitive disorders Cognitive Dysfunction - epidemiology Correlation analysis Cross-Sectional Studies Dementia Diagnosis Disease Family medical history Female Females Geriatrics Health care Hospitals Humans Hydration Impairment Impedance Influence Longitudinal studies Male Medical screening Medicine and Health Sciences Men Neurodegenerative diseases Neurology Nutrition assessment Nutritional assessment Nutritional Status Older people Patients Physical Sciences Physiological aspects Plethysmography, Impedance Risk factors Social Sciences Soft tissues Studies Tissues Variance analysis Vector analysis |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELbQnrggyqsLBQxCKhzS5uHECbcFURUORQKKeov8pJG2yWqzW6n9NfxUZmxvaFBFOXBdf3E2M2P7czL-hpBXGfgVaG0eFdKUETMsjaqcx5HgsUmFYKqSTu3zqDg8Zp9O8pMrpb4wJ8zLA3vD7TObFblMMqFsxZRIRJFIU0lbxpm0wjqxbVjzNpspPwfDKC6KcFAu48l-8MveomvNHirE-KJyvxcip9c_zMqTxbzrr6Ocf2ZOXlmKDu6SO4FD0pn_71vklmnvka0wSnv6OkhJv7lPfh5txPYBj2eH1j0Vraay0xcUs8lDyhaVF1Q2na-Jg26jDdBpjRFBz917fbjMq5e8pTPqnoj2LovL97yG_pqWnjVzTYeMJOxENEt8_-juOptfnprmzCx3exo-DD0gxwcfvr0_jEJNhkjxNF9FRsmc67gCoqbzymalyFVcKJ3IMlGxKYzSPFaWGw1rok5EqrPUcpuUFnVoYMV8SCYteGGbUF5oYUvDmKgME5kpLW5-tIg1q1JTVlOSbRxUqyBYjnUz5rX7Csdh4-LtXaNb6-DWKYmGqxZesOMG_Dv0_YBFuW33AwRhHYKwvikIp-Q5Rk7tz64Ok0Y9YyUq7BdVNiUvHQIlN1rM6fkh1n1ff_z8_R9AX7-MQLsBZDswhxLhHAU8E0p5jZA7IyRMHGrUvI1xvrFKXzutQyCQOYcrN7F_ffOLoRk7xTy91nRrj8mBEVbJ3zAcOC3stMFsj_xwGqyP2mQcduhTwkcDbeSecUvbnDpVdCx_BWz38f_w5xNyO0X6hoV_4h0yWS3X5imQz5V85uaZX95yiNQ priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELZguXBBlFcXChiEBBzS5uHECRe0IKrCoUhA0d4iP9tI22TZ7FZqT_wNrvw0fgkzjjclqCpc489O4vGMx_b4G0KeJSBXcGvTIJMmD5hhcVCkPAwED00sBFOFdGyf-9neAfswTad-w631YZVrm-gMtW4U7pHvOCI2mN1S_nr-LcCsUXi66lNoXCXXkLoMQ7r4tF9wgS5nmb8ul_Box0tne97UZht5YrrUcufTkWPt723zaD5r2oscz7_jJ_-YkHZvkhvek6STTvQb5Iqpb5ENr6stfeEJpV_eJj_315T7gMcbRKuWilpT2ehTijHlPnCLylMqq6bLjIPCoxU41RrHBT1xu_tQreMweUUn1P0RbV0sV9fyCtqranpczTTt45KwEVEtcBfSvXUyOzsy1bFZ_Pr-o6X-gOgOOdh99-XtXuBzMwSKx-kyMEqmXIcFOGw6LWySi1SFmdKRzCMVmswozUNludEwN-pIxDqJLbdRbpGPBmbOu2RUgxw2CeWZFjY3jInCMJGY3OIiSItQsyI2eTEmyVpEpfLE5Zg_Y1a60zgOC5iux0sUbOkFOyZBX2veEXf8A_8Gpd9jkXbbPWgWh6XX4pLZJEtllAhlC6ZEJLJImkLaPEykFTYbk8c4dsruDmtvPMoJy5FpPyuSMXnqEEi9UWNsz6FYtW35_uPX_wB9_jQAPfcg20B3KOHvU8A_IaXXALk1QIIBUYPiTRzp615py3NVg5rr0X9x8ZO-GBvFeL3aNKsOk4JnWESXYTj4trDihm671ylU3_vIUcZhpT4mfKBqA_EMS-rqyLGjYxos8HrvX_7pD8j1GB00TO0TbpHRcrEyD8G9XMpHzob8BqbzgLM priority: 102 providerName: ProQuest |
| Title | Nutritional status and body composition by bioelectrical impedance vector analysis: A cross sectional study in mild cognitive impairment and Alzheimer’s disease |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/28187148 https://www.proquest.com/docview/1867150957 https://www.proquest.com/docview/1867552191 https://www.proquest.com/docview/1872834996 https://pubmed.ncbi.nlm.nih.gov/PMC5302822 https://doaj.org/article/4f365b13acf94ca1a61be9bf803bfaf6 http://dx.doi.org/10.1371/journal.pone.0171331 |
| Volume | 12 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELbK9sIFUV5dKItBSIVDqrydICG0rVoKEgUVinqL_GwjbZNls4tYDvwWfiozjjciqEAvPqzHXmXGY3-2x98Q8jQCuwKsTbxU6MyLdRx6ecJ8jzNfh5zHMheW7fMoPTyJ354mp2tklbPVKbC5dGuH-aROZpOdb1-Wr8DhX9qsDSxYNdqZ1pXeQf6XCB9Wr8PaxNBV38XdvQJ4t729RNTipaEfucd0f-ult1hZTv9u5h5MJ3VzGSz9M7ryt-Xq4Ca54XAmHbcDY4Os6eoW2XCe3NBnjm76-W3y82hFyA_y-L5o0VBeKSpqtaQYce7CuqhYUlHWbd4cNC0tAXIrHDX0qz37h2Ytw8kLOqb2i2hjI73anhfQX1nRi3KiaBe1hJ3wcoZnlPZfx5Pv57q80LPthrrLozvk5GD_096h5_I2eJKFydzTUiRM-TmAOZXkJsp4Iv1UqkBkgfR1qqVivjRMK1g3VcBDFYWGmSAzyFUDq-pdMqjACpuEslRxk-k45rmOeaQzgxskxX0V56HO8iGJVgYqpCM1x9wak8Le1DHY3LT6LtCshTPrkHhdq2lL6vEf-V20fSeLlNz2h3p2VjgPL2ITpYkIIi5NHkse8DQQOhcm8yNhuEmH5BGOnKJ939pNLMU4zpCFP82jIXliJZCWo8K4nzO-aJrizfvPVxD6eNwT2nZCpgZ1SO7eWsA3Id1XT3KrJwmTi-xVb-I4X2mlKSwfIoDMhEHL1di_vPpxV42dYixfpetFK5MAasyDf8kwwL2wGwe13WvdqdM-8pcx2MUPCes5Ws88_ZqqPLfM6ZgiCxDx_avo8AG5HiKEw-Q__hYZzGcL_RAA6FyMyDV2yqDM9gIsD16PyPru_tGH45E90hnZOQfLH_u_AMv9jtM |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKOcAFUV5dKNQgEHBIm7cTJISWR9XSUiRo0d6C40cbaZssmy6onPgbXPkB_Ch-CTOOkxJUFS69rsfOxjP-PBOPvyHkfgB6Bbc2cuJcJU6oQt9JI-Y6nLnK5zwUaW7YPrfj9d3w9SgazZGf7V0YTKtsMdEAtawEfiNfNURssLtF7Nnkk4NVo_B0tS2h0ZjFpjr6AiFb_XTjJej3ge-vvdp5se7YqgKOYH506CiRR0y6KbgaMkp1kPBIuLGQXp54wlWxEpK5QjMlAdWlx30Z-JppL9HIpAKYD-OeI-dh43VxRbFRF-ABdsSxvZ4XMG_VWsPKpCrVCvLSNKXsjrc_UyWg2wvmJ-OqPsnR_Ttf848NcO0yuWQ9VzpsTG2BzKnyClmw2FDTR5bA-vFV8mO7pfgHebyxNKspLyXNK3lEMYfdJorR_IjmRdVU4kFjoQU48RLtkH42pwnQreFMeUKH1LwRrU3uWDPyDMYrSnpQjCXt8qBwEF5M8auneepw_HVfFQdq-uvb95raA6lrZPdMtHadzJegh0VCWSy5TlQY8lSFPFCJxqBLcleGqa-SdECCVkWZsETpWK9jnJnTPwYBUzPjGSo2s4odEKfrNWmIQv4h_xy138kizbf5oZruZRY1slAHcZR7ARc6DQX3eOzlKs114ga55joekGW0nay5M9uBVTYME2T2j9NgQO4ZCaT6KDGXaI_P6jrbePvhP4Tev-sJPbRCuoLpENze34B3QgqxnuRSTxIAS_SaF9HS21mps-OlDT1b6z-5-W7XjINifmCpqlkjE4EnmnqnyTDwpSHCh2m70SyobvaRE415YTIgrLfUeurpt5TFvmFjx7Jb4GXfPP2vL5ML6ztvtrKtje3NW-Sij84hlhVyl8j84XSmboNre5jfMXhCycezBrDfCii-GA |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwELZKkRAXRPnrQqEGgYBD2vw7QUJooVQtRQVBi3oLjn_aSNtk2XRBy4nX4Mpj8Dg8CTOOkxJUFS69rsfOxjP-PBOPvyHkfgB6Bbc2cuJcJU6oQt9JI-Y6nLnK5zwUaW7YPrfjjd3w1V60N0d-tndhMK2yxUQD1LIS-I181RCxwe4GAby2aRFv19afjT85WEEKT1rbchqNiWyp2RcI3-qnm2ug6we-v_5y58WGYysMOIL50ZGjRB4x6abgdsgo1UHCI-HGQnp54glXxUpI5grNlASElx73ZeBrpr1EI6sK4D-Me46cZ0Hk4Rpje12wBzgSx_aqXsC8VWsZK-OqVCvIUdOUtTveCk3FgG5fmB-Pqvokp_fv3M0_NsP1y-SS9WLpsDG7BTKnyitkweJETR9ZMuvHV8mP7ZbuH-Tx9tK0pryUNK_kjGI-u00ao_mM5kXVVOVBw6EFOPQSbZJ-NicL0K3hT3lCh9S8Ea1NHlkz8hTGK0p6WIwk7XKicBBeTPALqHnqcPT1QBWHavLr2_ea2sOpa2T3TLR2ncyXoIdFQlksuU5UGPJUhTxQicYATHJXhqmvknRAglZFmbCk6Vi7Y5SZk0AGwVMz4xkqNrOKHRCn6zVuSEP-If8ctd_JIuW3-aGa7GcWQbJQB3GUewEXOg0F93js5SrNdeIGueY6HpBltJ2suT_bAVc2DBNk-Y_TYEDuGQmk_ShxAe3zaV1nm28-_IfQ-3c9oYdWSFcwHYLbuxzwTkgn1pNc6kkCeIle8yJaejsrdXa8zKFna_0nN9_tmnFQzBUsVTVtZCLwSlPvNBkGfjVE-zBtN5oF1c0-8qMxL0wGhPWWWk89_ZayODDM7FiCCzzum6f_9WVyAaAre725vXWLXPTRT8QKQ-4SmT-aTNVt8HKP8jsGTij5eNb49Ruvl8JO |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Nutritional+status+and+body+composition+by+bioelectrical+impedance+vector+analysis%3A+A+cross+sectional+study+in+mild+cognitive+impairment+and+Alzheimer%27s+disease&rft.jtitle=PloS+one&rft.au=Cova%2C+Ilaria&rft.au=Pomati%2C+Simone&rft.au=Maggiore%2C+Laura&rft.au=Forcella%2C+Marica&rft.date=2017-02-10&rft.pub=Public+Library+of+Science&rft.issn=1932-6203&rft.eissn=1932-6203&rft.volume=12&rft.issue=2&rft.spage=e0171331&rft_id=info:doi/10.1371%2Fjournal.pone.0171331&rft.externalDBID=ISR&rft.externalDocID=A480662693 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon |