Evidence map›Paper›PMID 38736560›Full record

ArticleClinical interventions in aging2024

Construction of an Exercise Intervention Program for Patients with Sarcopenic Obesity: A Delphi Method Study.

Jiajia Xu, Qingqing Hu, Jie Ding, Yifei Ren, Ting Chu

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Jiajia XuNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, People's Republic of China.
Qingqing HuNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, People's Republic of China.
Jie DingNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, People's Republic of China.
Yifei RenNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, People's Republic of China.
Ting ChuNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Construct an exercise intervention program for patients with sarcopenic obesity. Material and Methods: Based on the COM-B theoretical model and evidence-based principles, the program was constructed using qualitative methods of literature analysis and Delphi method. The Delphi panel consisted of 15 experts from the fields of clinical medicine, rehabilitation medicine, medical technology, and nursing. Results: Fifteen experts were consulted, and the consultation recovery rate was 100%; the authority coefficient of the 1st round was 0.83, with coefficients of variation ranging from 0.00 to 0.27, and importance scores ranging from (4.13±1.13) to (5±0); the authority coefficient of the 2nd round was 0.82, with coefficients of variation ranging from 0.00 to 0.20, and importance scores ranging from (4.53±0.64) to (5±0); Kendall's harmony coefficient was 0.102, 0.115, respectively, and the differences were statistically significant(P < 0.05). The constructed exercise intervention program for patients with sarcopenic obesity included 4 primary indicators, 12 secondary indicators, and 28 tertiary indicators. Conclusion: The constructed exercise intervention program for patients with sarcopenic obesity is scientific, feasible and generalizable, and can provide useful reference for related personnel to develop exercise programs for patients with sarcopenic obesity.

Indexed as

Delphi TechniqueExercise TherapyObesitySarcopeniaAdultAgedFemaleHumansMaleMiddle AgedCOM-B theoretical modeldelphi methodevidence-based nursingexerciseolder adultssarcopenic obesity

Identifiers

PMID38736560
PMCPMC11088028

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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.