Evidence map›Paper›PMID 35664935›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Traditional Chinese Medicine Constitution Is Associated with the Frailty Status of Older Adults: A Cross-Sectional Study in the Community.

Xingyu Ma, Hao Tang, Jinmei Zeng, Xueyan Pan, Xiaowen Luo, Jia Liao, Dongmei Liang, Lei Zhang, Shihao Zhou, Mingjuan Yin and 1 more

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xingyu MaDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0001-9490-6599
Hao TangTeaching & Research Department, Dongguan People's Guancheng Hospital, Dongguan, 523000, Guangdong, China.
Jinmei ZengDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0003-0365-8070
Xueyan PanDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0002-0181-2452
Xiaowen LuoDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0001-5796-3148
Jia LiaoDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0001-6790-6382
Dongmei LiangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0003-1675-1960
Lei ZhangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0002-3557-494X
Shihao ZhouDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0001-6917-7021
Mingjuan YinDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0002-6737-0714
Jindong NiDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Key Laboratory of Precision Public Health, Guangdong Medical University, Dongguan, 523808, Guangdong, China.ORCID https://orcid.org/0000-0001-5413-8353

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study explored the relationship between traditional Chinese medicine (TCM) constitution and frailty status in older adults. Methods: A total of 3,586 participants, 65 years of age and older, with complete data were evaluated. All received a complete frailty assessment and completed a TCM geriatric constitution questionnaire. Baseline characteristics and demographic information were collected. The relationship between the TCM constitution and frailty was evaluated by binary regression analysis. The consistency of the result was tested by multivariate linear regression. Results: The average prevalence of frailty among older adult participants was 12.5%. The three most prevalent biased constitutions in the frail older adult participants were phlegm dampness 140 (31.3%), Yin deficiency 77 (17.2%), and Yang deficiency 47 (10.5%). Univariate analysis showed that TCM constitution significantly correlated with frailty. After adjusting for potential confounders, binary logistic regression found a significant correlation between biased constitutions and frailty, including Qi stagnation (odds ratio (OR) = 3.51, 95% confidence interval (CI): 1.94-6.36)), Qi deficiency ((OR = 3.23, (95% CI: 1.76-5.94)), Yang deficiency ((OR = 2.37, (95% CI: 1.50-3.74)), phlegm dampness ((OR = 1.75, (95% CI: 1.24-2.48)), and Yin deficiency ((OR = 1.70, (95% CI: 1.15-2.50)). Results of multiple linear regression were consistent. Conclusions: TCM constitution was significantly associated with frailty status in older adults, and the distribution was different. Compared with a neutral constitution, older adults with Qi stagnation, Qi deficiency, Yang deficiency, phlegm dampness, and Yin deficiency were more likely to experience frailty.

Identifiers

PMID35664935
PMCPMC9159867

What Socratic holds

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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 Socratic graph.