Evidence map›Paper›PMID 38074715›Full record

ArticleFrontiers in public health2023

A cohort study of factors influencing the physical fitness of preschool children: a decision tree analysis.

Wendi Lv, Jinmei Fu, Guanggao Zhao, Zihao He, Shunli Sun, Ting Huang, Runze Wang, Delong Chen, Ruiming Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Wendi LvCollege of Physical and Health, Jiangxi University of Chinese Medicine, Nanchang, China.
Jinmei FuJiangxi Sports Science and Medicine Center, Nanchang, China.
Guanggao ZhaoSchool of Physical Education, Nanchang University, Nanchang, China.
Zihao HeSchool of Sport Science, Beijing Sport University, Beijing, China.
Shunli SunJiangxi Sports Science and Medicine Center, Nanchang, China.
Ting HuangSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China.
Runze WangPLA Army Academy of Artillery and Air Defense, Nanjing, China.
Delong ChenSchool of Physical Education, Nanchang University, Nanchang, China.
Ruiming ChenSchool of Physical Education, Nanchang University, Nanchang, China.
Nanchang University · CNBeijing Sport University · CNFujian Normal University · CNSecond Artillery General Hospital of Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Based on the decision tree model, to explore the key influencing factors of children's physical fitness, rank the key influencing factors, and explain the complex interaction between the influencing factors. Methods: A cohort study design was adopted. 1,276 children (ages 3-6) from 23 kindergartens in Nanchang, China, were chosen for the study to measure the children's physical fitness at baseline and a year later and to compare the physical fitness scores at the two stages. The study was conducted following the Chinese National Physical Fitness Testing Standard (Children Part); To identify the primary influencing factors of changes in physical fitness, a decision tree model was developed, and a questionnaire survey on birth information, feeding patterns, SB, PA, dietary nutrition, sleep, parental factors, and other relevant information was conducted. Results: The levels of physical fitness indicators among preschool children showed a significant increase after 1 year. The accuracy of the CHAID model is 84.17%. It showed that 7 variables were strongly correlated with the physical changes of children's fitness, the order of importance of each variable was weekend PA, weekend MVPA, mother's BMI, mother's sports frequency, father's education, mother's education, and school day PA. Three factors are related to PA. Four factors are related to parental circumstances. In addition to the seven important variables mentioned, variables such as breakfast frequency on school day, puffed food, frequency of outing, school day MVPA, parental feeling of sports, father's occupation, and weekend breakfast frequency are all statistically significant leaf node variables. Conclusion: PA, especially weekend PA, is the most critical factor in children's physical fitness improvement and the weekend MVPA should be increased to more than 30 min/d based on the improvement of weekend PA. In addition, parental factors and school day PA are also important in making decisions about changes in fitness for children. The mother's efforts to maintain a healthy BMI and engage in regular physical activity are crucial for enhancing the physical fitness of children. Additionally, other parental factors, such as the parents' educational levels and the father's occupation, can indirectly impact the level of physical fitness in children.

Indexed as

ExerciseParentsChild, PreschoolCohort StudiesDecision TreesHumansPhysical Fitnesscohort studydecision treephysical activityphysical fitnesspreschool

Identifiers

PMID38074715
PMCPMC10701283
OpenAlexW4388932304

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.