Evidence map›Paper›PMID 35832255›Full record

ArticleComputational intelligence and neuroscience2022

Analysis of Factors Related to Adolescents' Physical Activity Behavior Based on Multichannel LSTM Model.

Guiling Chang, Jinfeng Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Guiling ChangXian Universitv of Finance and Economics, Xian, Shaanxi 710100, China.
Jinfeng LiuThe Department of Physical Education, Huainan Normal University, Anhui, Huainan 232001, China.ORCID https://orcid.org/0000-0002-2595-6450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The health problems of teenagers are closely related to their sports behavior. In order to understand the relevant factors of teenagers' sports behavior, we use a variety of research methods to make a brief theoretical analysis of the relevant factors of teenagers' sports behavior and analyze the impact of the model on teenagers' sports behavior from different levels. The model analyzes the factors affecting youth sports behavior, reveals the relationship between these factors, puts forward corresponding intervention strategies, and uses effective means to develop youth sports practice. Therefore, based on the analysis of the relevant factors of teenagers' sports behavior, this paper puts forward the LSTM model from many aspects, which shows that our model can be very effective in analyzing the factors affecting teenagers' sports behavior.

Indexed as

ExerciseMotor ActivityAdolescentHumans

Identifiers

PMID35832255
PMCPMC9273359

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.