Study on Yang-Xu Using Body Constitution Questionnaire and Blood Variables in Healthy Volunteers
Traditional Chinese medicine (TCM) formulates treatment according to body constitution (BC) differentiation. Different constitutions have specific metabolic characteristics and different susceptibility to certain diseases. This study aimed to assess the Yang-Xu constitution using a body constitution...
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Veröffentlicht in: | Evidence-based complementary and alternative medicine 2016-01, Vol.2016 (2016), p.1-7 |
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description | Traditional Chinese medicine (TCM) formulates treatment according to body constitution (BC) differentiation. Different constitutions have specific metabolic characteristics and different susceptibility to certain diseases. This study aimed to assess the Yang-Xu constitution using a body constitution questionnaire (BCQ) and clinical blood variables. A BCQ was employed to assess the clinical manifestation of Yang-Xu. The logistic regression model was conducted to explore the relationship between BC scores and biomarkers. Leave-one-out cross-validation (LOOCV) and K-fold cross-validation were performed to evaluate the accuracy of a predictive model in practice. Decision trees (DTs) were conducted to determine the possible relationships between blood biomarkers and BC scores. According to the BCQ analysis, 49% participants without any BC were classified as healthy subjects. Among them, 130 samples were selected for further analysis and divided into two groups. One group comprised healthy subjects without any BC (68%), while subjects of the other group, named as the sub-healthy group, had three BCs (32%). Six biomarkers, CRE, TSH, HB, MONO, RBC, and LH, were found to have the greatest impact on BCQ outcomes in Yang-Xu subjects. This study indicated significant biochemical differences in Yang-Xu subjects, which may provide a connection between blood variables and the Yang-Xu BC. |
doi_str_mv | 10.1155/2016/9437382 |
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Different constitutions have specific metabolic characteristics and different susceptibility to certain diseases. This study aimed to assess the Yang-Xu constitution using a body constitution questionnaire (BCQ) and clinical blood variables. A BCQ was employed to assess the clinical manifestation of Yang-Xu. The logistic regression model was conducted to explore the relationship between BC scores and biomarkers. Leave-one-out cross-validation (LOOCV) and K-fold cross-validation were performed to evaluate the accuracy of a predictive model in practice. Decision trees (DTs) were conducted to determine the possible relationships between blood biomarkers and BC scores. According to the BCQ analysis, 49% participants without any BC were classified as healthy subjects. Among them, 130 samples were selected for further analysis and divided into two groups. One group comprised healthy subjects without any BC (68%), while subjects of the other group, named as the sub-healthy group, had three BCs (32%). Six biomarkers, CRE, TSH, HB, MONO, RBC, and LH, were found to have the greatest impact on BCQ outcomes in Yang-Xu subjects. This study indicated significant biochemical differences in Yang-Xu subjects, which may provide a connection between blood variables and the Yang-Xu BC.</description><identifier>ISSN: 1741-427X</identifier><identifier>EISSN: 1741-4288</identifier><identifier>DOI: 10.1155/2016/9437382</identifier><identifier>PMID: 27340421</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Analysis ; Biomarkers ; Blood ; Chinese medicine ; Chronic fatigue syndrome ; Classification ; Cytokines ; Disease ; Disease susceptibility ; Evidence-based medicine ; Hospitals ; Medical research ; Medicine, Chinese ; Medicine, Experimental ; Questionnaires ; Studies ; Surveys ; Thyroid gland</subject><ispartof>Evidence-based complementary and alternative medicine, 2016-01, Vol.2016 (2016), p.1-7</ispartof><rights>Copyright © 2016 Hong-Jhang Chen et al.</rights><rights>COPYRIGHT 2016 John Wiley & Sons, Inc.</rights><rights>Copyright © 2016 Hong-Jhang Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2016 Hong-Jhang Chen et al. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c499t-d2229a04732cbd2e2a32dd3faffd9adcab04a8ec4f3dd220802fd372dbee0d23</citedby><cites>FETCH-LOGICAL-c499t-d2229a04732cbd2e2a32dd3faffd9adcab04a8ec4f3dd220802fd372dbee0d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906219/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4906219/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27340421$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Wilkinson, Jenny M.</contributor><creatorcontrib>Lin, Yun-Lian</creatorcontrib><creatorcontrib>Wu, Trong-Neng</creatorcontrib><creatorcontrib>Hu, Wan-Chung</creatorcontrib><creatorcontrib>Hsu, Wei-Hsiang</creatorcontrib><creatorcontrib>Wu, Pei-Chen</creatorcontrib><creatorcontrib>Lin, Yii-Jeng</creatorcontrib><creatorcontrib>Chen, Hong-Jhang</creatorcontrib><creatorcontrib>Chen, Fang-Pey</creatorcontrib><title>Study on Yang-Xu Using Body Constitution Questionnaire and Blood Variables in Healthy Volunteers</title><title>Evidence-based complementary and alternative medicine</title><addtitle>Evid Based Complement Alternat Med</addtitle><description>Traditional Chinese medicine (TCM) formulates treatment according to body constitution (BC) differentiation. Different constitutions have specific metabolic characteristics and different susceptibility to certain diseases. This study aimed to assess the Yang-Xu constitution using a body constitution questionnaire (BCQ) and clinical blood variables. A BCQ was employed to assess the clinical manifestation of Yang-Xu. The logistic regression model was conducted to explore the relationship between BC scores and biomarkers. Leave-one-out cross-validation (LOOCV) and K-fold cross-validation were performed to evaluate the accuracy of a predictive model in practice. Decision trees (DTs) were conducted to determine the possible relationships between blood biomarkers and BC scores. According to the BCQ analysis, 49% participants without any BC were classified as healthy subjects. Among them, 130 samples were selected for further analysis and divided into two groups. One group comprised healthy subjects without any BC (68%), while subjects of the other group, named as the sub-healthy group, had three BCs (32%). Six biomarkers, CRE, TSH, HB, MONO, RBC, and LH, were found to have the greatest impact on BCQ outcomes in Yang-Xu subjects. This study indicated significant biochemical differences in Yang-Xu subjects, which may provide a connection between blood variables and the Yang-Xu BC.</description><subject>Analysis</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Chinese medicine</subject><subject>Chronic fatigue syndrome</subject><subject>Classification</subject><subject>Cytokines</subject><subject>Disease</subject><subject>Disease susceptibility</subject><subject>Evidence-based medicine</subject><subject>Hospitals</subject><subject>Medical research</subject><subject>Medicine, Chinese</subject><subject>Medicine, Experimental</subject><subject>Questionnaires</subject><subject>Studies</subject><subject>Surveys</subject><subject>Thyroid gland</subject><issn>1741-427X</issn><issn>1741-4288</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqN0c9rFDEUB_BBLLZWb54l4EXQsfk1k8lFaBe1hYKItdRTfDN5s5sym9RkRtn_3gy7btWTpzzyPnyTxyuKZ4y-YayqTjhl9YmWQomGPyiOmJKslLxpHu5rdXNYPE7pllKulVKPikOuhKSSs6Pi2-dxshsSPPkKflneTORLcn5JzkK-XQSfRjdOo8v9TxOmufDgIhLwlpwNIVhyDdFBO2AizpNzhGFcbch1GCY_Isb0pDjoYUj4dHceF1fv310tzsvLjx8uFqeXZSe1HkvLOddApRK8ay1HDoJbK3roe6vBdtBSCQ12shc2W9pQ3luhuG0RqeXiuHi7jb2b2jXaDv0YYTB30a0hbkwAZ_7ueLcyy_DDSE1rznQOeLkLiOH7PKpZu9ThMIDHMCXDlNZVXTesyvTFP_Q2TNHn6WZVadFo2dyrJQxonO9DfrebQ81pzahgigqZ1eut6mJIKWK__zKjZt6vmfdrdvvN_PmfY-7x74Vm8GoLVs5b-On-Mw6zwR7uNaOyokL8ApVKuAo</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Lin, Yun-Lian</creator><creator>Wu, Trong-Neng</creator><creator>Hu, Wan-Chung</creator><creator>Hsu, Wei-Hsiang</creator><creator>Wu, Pei-Chen</creator><creator>Lin, Yii-Jeng</creator><creator>Chen, Hong-Jhang</creator><creator>Chen, Fang-Pey</creator><general>Hindawi Publishing Corporation</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160101</creationdate><title>Study on Yang-Xu Using Body Constitution Questionnaire and Blood Variables in Healthy Volunteers</title><author>Lin, Yun-Lian ; 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Different constitutions have specific metabolic characteristics and different susceptibility to certain diseases. This study aimed to assess the Yang-Xu constitution using a body constitution questionnaire (BCQ) and clinical blood variables. A BCQ was employed to assess the clinical manifestation of Yang-Xu. The logistic regression model was conducted to explore the relationship between BC scores and biomarkers. Leave-one-out cross-validation (LOOCV) and K-fold cross-validation were performed to evaluate the accuracy of a predictive model in practice. Decision trees (DTs) were conducted to determine the possible relationships between blood biomarkers and BC scores. According to the BCQ analysis, 49% participants without any BC were classified as healthy subjects. Among them, 130 samples were selected for further analysis and divided into two groups. One group comprised healthy subjects without any BC (68%), while subjects of the other group, named as the sub-healthy group, had three BCs (32%). Six biomarkers, CRE, TSH, HB, MONO, RBC, and LH, were found to have the greatest impact on BCQ outcomes in Yang-Xu subjects. This study indicated significant biochemical differences in Yang-Xu subjects, which may provide a connection between blood variables and the Yang-Xu BC.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>27340421</pmid><doi>10.1155/2016/9437382</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Biomarkers Blood Chinese medicine Chronic fatigue syndrome Classification Cytokines Disease Disease susceptibility Evidence-based medicine Hospitals Medical research Medicine, Chinese Medicine, Experimental Questionnaires Studies Surveys Thyroid gland |
title | Study on Yang-Xu Using Body Constitution Questionnaire and Blood Variables in Healthy Volunteers |
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