Evidence map›Paper›PMID 24711854›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2014

ZHENG May Contribute to Obesity Phenotypes Based on Body Composition: A Pilot Study on the Traditional Chinese Medicine Approach.

Feng Tao, Hao Lu, Jean-Michel Oppert, Arnaud Basdevant

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Feng TaoShanghai Key Laboratory of Traditional Chinese Clinical Medicine, Department of Endocrinology & Metabolism, ShuGuang Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528 Road ZhangHeng, Shanghai 201203, China.
Hao LuShanghai Key Laboratory of Traditional Chinese Clinical Medicine, Department of Endocrinology & Metabolism, ShuGuang Affiliated to Shanghai University of Traditional Chinese Medicine, No. 528 Road ZhangHeng, Shanghai 201203, China.
Jean-Michel OppertDepartment of Nutrition, Heart and Metabolism Division, Pitié-Salpêtrière University Hospital, No. 47-83 boulevard de l'Hôpital, 75013 Paris, France ; CRNH-Ile de France, Institute of Cardiometabolism and Nutrition (ICAN), University Pierre et Marie Curie, No. 47-83 boulevard de l'Hôpital, 75013 Paris, France.
Arnaud BasdevantDepartment of Nutrition, Heart and Metabolism Division, Pitié-Salpêtrière University Hospital, No. 47-83 boulevard de l'Hôpital, 75013 Paris, France ; CRNH-Ile de France, Institute of Cardiometabolism and Nutrition (ICAN), University Pierre et Marie Curie, No. 47-83 boulevard de l'Hôpital, 75013 Paris, France.ORCID 0000-0002-9408-8546
Shanghai University of Traditional Chinese Medicine · CNSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. Obesity therapy needs new approaches to complement current phenotyping systems. This study aims to assess associations between the Traditional Chinese Medicine (TCM) ZHENG and obesity phenotypes. Methods. We assessed medical history and habitual physical activity and measured body composition, fasting plasma glucose and insulin, and lipids. We collected TCM data through face-to-face interview. ZHENG elements (essentials and locations) were identified by TCM practitioner. Primary ZHENG was assessed by cluster analysis. Results. In 140 consecutive subjects enrolled in a university clinic (body mass index (BMI): 39.9 ± 5.8 kg/m2), ZHENG essentials were identified as "QiXu," "Re," "YinXu," and "TanShi" (totally 86.8%). Locations were "Shen," "Wei," "Pi," and "Gan" (totally 91.8%). Four types of primary ZHENG were identified: A (37.1% of subjects), B (16.5%), C (35.7%), and D (10.7%). Subjects in type D showed elevated BMI, total fat mass (FM), FM index, trunk FM, and less physical activity, as compared with others. Subjects in type B changed regional body composition (reduced trunk FM% and elevated appendicular FM%). Biological parameters did not differ across primary ZHENG clusters. Conclusions. Obesity phenotypes based on body composition differ according to ZHENG in obese patients. This study is a first step toward understanding the contribution of TCM to obesity phenotyping.

Identifiers

PMID24711854
PMCPMC3966318
OpenAlexW2014684396

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.