Evidence map›Paper›PMID 36078781›Full record

ArticleInternational journal of environmental research and public health2022

The Effectiveness of a Hybrid Exercise Program on the Physical Fitness of Frail Elderly.

Ziyi Wang, Deyu Meng, Shichun He, Hongzhi Guo, Zhibo Tian, Meiqi Wei, Guang Yang, Ziheng Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 23% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 2 institutions in 2 countries.

Ziyi WangChinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Deyu MengChinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.ORCID 0000-0002-3270-9829
Shichun HeChinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Hongzhi GuoGraduate School of Human Sciences, Waseda University, Tokorozawa 169-8050, Japan.ORCID 0000-0002-3454-9929
Zhibo TianCollege of Physical Education and Health, Guangxi Normal University, Guilin 541006, China.
Meiqi WeiChinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Guang YangChinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Ziheng WangChinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Waseda University · JPNortheast Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is a serious physical disorder affecting the elderly all over the world. However, the frail elderly have low physical fitness, which limits the effectiveness of current exercise programs. Inspired by this, we attempted to integrate Baduanjin and strength and endurance exercises into an exercise program to improve the physical fitness and alleviate frailty among the elderly. Additionally, to achieve the goals of personalized medicine, machine learning simulations were performed to predict post-intervention frailty.

methodsA total of 171 frail elderly individuals completed the experiment, including a Baduanjin group (BDJ), a strength and endurance training group (SE), and a combination of Baduanjin and strength and endurance training group (BDJSE), which lasted for 24 weeks. Physical fitness was evaluated by 10-meter maximum walk speed (10 m MWS), grip strength, the timed up-and-go test (TUGT), and the 6 min walk test (6 min WT). A one-way analysis of variance (ANOVA), chi-square test, and two-way repeated-measures ANOVA were carried out to analyze the experimental data. In addition, nine machine learning models were utilized to predict the frailty status after the intervention.

resultsIn 10 m MWS and TUGT, there was a significant interactive influence between group and time. When comparing the BDJ group and the SE group, participants in the BDJSE group demonstrated the maximum gains in 10 m MWS and TUGT after 24 weeks of intervention. The stacking model surpassed other algorithms in performance. The accuracy and precision rates were 75.5% and 77.1%, respectively.

conclusionThe hybrid exercise program that combined Baduanjin with strength and endurance training proved more effective at improving fitness and reversing frailty in elderly individuals. Based on the stacking model, it is possible to predict whether an elderly person will exhibit reversed frailty following an exercise program.

Indexed as

Frail ElderlyFrailtyAgedExerciseExercise TherapyHumansPhysical FitnessBaduanjinendurance trainingExplainable Artificial Intelligencefrailstrength training

Identifiers

PMID36078781
PMCPMC9517902
OpenAlexW4294741265

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.