Evidence map›Paper›PMID 36711345›Full record

ArticleFrontiers in public health2022

Causal effects and functional mechanisms of the Internet on residents' physical fitness-An empirical analysis based on China family panel survey.

Long Zhang, Chuntian Lu, Cuixia Yi, Zhipeng Liu, Yuhua Zeng

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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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.

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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.

Long ZhangDepartment of Sociology, Xi'an Jiaotong University, Xi'an, China.
Chuntian LuDepartment of Sociology, Xi'an Jiaotong University, Xi'an, China.
Cuixia YiDepartment of Sociology, Xi'an Jiaotong University, Xi'an, China.
Zhipeng LiuSchool of Economics and Management, Shanghai University of Sport, Shanghai, China.
Yuhua ZengDepartment of Physical Education, Xi'an University of Technology, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Physical fitness is an essential part of a healthy lifestyle that concerns the overall health of the nation. Research on the relationship between the Internet and physical fitness has long been caught in the dilemma of "media mobilization" and "media suppression," and previous studies have rarely examined the causal relationship and functional mechanism. Methods: This study selected the data of 23,989 samples successfully followed in all three surveys of the China Family Panel Survey (CFPS) from 2014 to 2018 to explore the correlation and causal inference between the Internet and physical fitness by using the Time Fixed Effects Model and cross-lagged models, respectively; meanwhile, the data of 24,687 samples in CFPS 2020 to examine the functional mechanism of the Internet's effect on residents' physical fitness behavior by the KHB method. Results: We obtained three valuable conclusions as follows: First, there is a significant correlation between the Internet and physical fitness behavior. Second, the Internet use is the cause for the increase in fitness frequency, and there is a rival relationship between Internet duration and fitness time. Third, under regular prevention and control of the COVID-19 epidemic, social capital and health risk perceptions are the functional mechanisms of the Internet influencing fitness behavior, and the mediating effect of psychological health risk perceptions is higher than that of social capital. Discussion: It's necessary to create an intelligent, informative, and digital sports public service system by enriching and optimizing sports media and facilitating the Internet to serve residents' physical fitness better. The new concept of "Internet plus Fitness" will be of great significance in the implementation of the "Healthy China Initiative."

Indexed as

COVID-19ChinaExerciseHumansInternetPhysical Fitnesscausal effecthealthInternetmediation effectphysical fitness

Identifiers

PMID36711345
PMCPMC9880173

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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.