Evidence map›Paper›PMID 26539237›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2015

Development and Preliminary Validation of the Questionnaire (the First Edition) Based on TCM for Detecting Health Status in China.

Xuan Zhou, Fang Xu, Jian Gao, Shan Cao, Ziwei Zhao, Mingli Heng, Huaien Bu, Liqun Yin, Hongwu Wang

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Article in Evidence-based complementary and alternative medicine : eCAM, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xuan ZhouChinese Internal Medicine, Graduate School, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Fang XuDepartment of Public Health, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Jian GaoSchool of Humanistic Management, Tianjin University of Traditional Chinese Medicine, Tianjin 300073, China.
Shan CaoChinese Internal Medicine, Graduate School, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Ziwei ZhaoChinese Internal Medicine, Graduate School, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Mingli HengDepartment of Public Health, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Huaien BuDepartment of Public Health, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Liqun YinDepartment of Mathematics, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.
Hongwu WangDepartment of Public Health, Tianjin University of Traditional Chinese Medicine, Anshan West Road 312, Nankai District, Tianjin 300193, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. More and more people come to realize the importance of healthcare and early detecting of health status before becoming much more serious. Self-perceived health is an easy, economic, and effective indicator of health, which has been widely applied in measuring health. In this paper, the development and preliminary validation of the questionnaire (the First Edition) based on TCM theory were described and combined with Manual Mental Health Pattern for detecting health status in community of Tianjin, China. Methods. Questionnaire validity and reliability were evaluated in a small sample as a pilot study. Analyses included tests for reliability and internal consistency, exploratory factor analysis, and tests for discriminative ability and convergent validity. Results. Overall, 294 of 303 participants completed the questionnaire (97.3%). The questionnaire included 49 items. Cronbach's α was 0.83. Factor analysis established 10 distinct domains. The Pearson's rho correlation between the total scores and MHP (SCL) was statistically significant (r = 0.43, P < 0.001). t-test revealed significant differences (P < 0.05) in total scores between the healthy and unhealthy results distinguished by physical examination. Conclusions. Questionnaire reliability and validity were acceptable. Further work and larger sample would be warranted to refine items that measure the health status, to improve the reliability and discriminated validity of the questionnaire.

Identifiers

PMID26539237
PMCPMC4619945

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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.