Evidence map›Paper›PMID 36011576›Full record

ArticleInternational journal of environmental research and public health2022

Association between 24-Hour Movement Behaviors and Smartphone Addiction among Adolescents in Foshan City, Southern China: Compositional Data Analysis.

Zhiqiang Ren, Jianyi Tan, Baoying Huang, Jinqun Cheng, Yanhong Huang, Peng Xu, Xuanbi Fang, Hongjuan Li, Dongmei Zhang, Yanhui Gao

Open access · goldAbstract read
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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
11.0field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 28 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

10 authors at 3 institutions in 1 country.

Zhiqiang RenDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510315, China.
Jianyi TanDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510315, China.
Baoying HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510315, China.
Jinqun ChengDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510315, China.
Yanhong HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510315, China.
Peng XuDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510315, China.
Xuanbi FangDepartment of Medical Statistics, School of Basic Medicine and Public Health, Jinan University, Guangzhou 510632, China.
Hongjuan LiSchool of Sport Science, Beijing Sport University, Beijing 100084, China.
Dongmei ZhangDepartment of Public Health Management and Social Medicine, School of Public Health, Guangdong Pharmaceutical University, No. 283, Jianghai Road, Haizhu District, Guangzhou 510315, China.
Yanhui GaoDepartment of Epidemiology and Health Statistics, School of Basic Medicine and Public Health, Jinan University, No. 601, Huangpu Avenue West, Tianhe District, Guangzhou 510632, China.
Guangdong Pharmaceutical University · CNJinan University · CNBeijing Sport University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone addiction has become a public health issue. To help reduce smartphone addiction, we assessed the combined effect of 24-Hour Movement Behaviors on smartphone addiction during Corona Virus Disease 2019 (COVID-19) home confinement in Foshan, China. Data were collected in a sample of 1323 senior middle school students ((mean age ± standard deviation): 16.4 ± 0.9 years; 43.46% males) during the COVID-19 lockdown. Their 24-Hour movement behaviors were assessed by a self-reported questionnaire, The Smartphone Addiction Scale-Short Version (SAS-SV). The compositional multiple linear regression model and compositional isotemporal substitution model were used to examine the association between the time budget composition of the day and smartphone addiction. Smartphone addiction occurred in 671 (50.72%) of the 1323 students. Compared with smartphone-addicted adolescents, non-smartphone-addicted adolescents had more moderate-to-vigorous physical activity (MVPA) and sleep duration (SLP), and less sedentary behavior (SB). The distribution of time spent in 24-Hour movement behaviors was significantly associated with smartphone addiction. The negative effect was found for the proportion of time spent in MVPA or SLP (ilr1-MVPA = −0.453, p < 0.001. ilr1-SLP = −3.641, p < 0.001, respectively) relative to the other three behaviors. Conversely, SB was positively associated with the score of smartphone addiction (ilr1-SB = 2.641, p < 0.001). Reallocating one behavior to remaining behaviors was associated with smartphone addiction. Noticeably, the effects of one behavior replacing another behavior and of one behavior being displaced by another behavior were asymmetric. The 24-Hour movement behaviors of adolescents are closely related to smartphone addiction, and future intervention studies should focus on the compositional attribute of 24-Hour movement behaviors.

Indexed as

COVID-19Data AnalysisAdolescentChinaCommunicable Disease ControlExerciseFemaleHumansInternet Addiction DisorderMale24-Hour movement behaviorscompositional analysisCOVID-19smartphone addiction

Identifiers

PMID36011576
PMCPMC9408153
OpenAlexW4291156299

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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.