Evidence map›Paper›PMID 35270328›Full record

ArticleInternational journal of environmental research and public health2022

Effects of Weight-Related Self-Stigma and Smartphone Addiction on Female University Students' Physical Activity Levels.

Mohsen Saffari, Jung-Sheng Chen, Hung-Ching Wu, Xavier C C Fung, Chih-Cheng Chang, Yen-Ling Chang, Ruckwongpatr Kamolthip, Marc N Potenza, I-Ching Lin, Chung-Ying Lin

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 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
15.3field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 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 9 institutions in 4 countries.

Mohsen SaffariHealth Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran 1435916471, Iran.
Jung-Sheng ChenDepartment of Medical Research, E-Da Hospital, Kaohsiung 82445, Taiwan.ORCID 0000-0003-3187-9479
Hung-Ching WuDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-7696-9430
Xavier C C FungDepartment of Rehabilitation Sciences, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.ORCID 0000-0002-0170-6203
Chih-Cheng ChangDepartment of Psychiatry, Chi Mei Medical Center, Tainan 70246, Taiwan.
Yen-Ling ChangDepartment of Family Medicine, Cardinal Tien Hospital, New Taipei 23445, Taiwan.
Ruckwongpatr KamolthipInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.
Marc N PotenzaDepartments of Psychiatry and Neuroscience and the Child Study Center, School of Medicine, Yale University, New Haven, CT 06511, USA.
I-Ching LinDepartment of Healthcare Administration, Asia University, Taichung 41354, Taiwan.ORCID 0000-0002-1418-4977
Chung-Ying LinDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0002-2129-4242
Chi Mei Medical Center · TWAsia University · TWBaqiyatallah University of Medical Sciences · IRCardinal Tien Hospital · TWE-Da Hospital · TWHong Kong Polytechnic University · HKNational Cheng Kung University · TWNational Cheng Kung University Hospital · TWYale University · US

Funding

2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme NCKU 31Asia University Hospital grant no. 10951009Ministry of Science and Technology MOST 110-2410-H-006-115
6 · The paper itself

Abstract

Physical inactivity is a common health problem in female college students, and factors such as weight self-stigma and smartphone addiction may negatively impact physical activity in this population. The aim of the current study was to investigate the associations between these variables and identify the moderating effects of smartphone addiction between weight stigma and physical activity. Using a cross-sectional study, information on the level of physical activity in the past week, weight-related self-stigma, and smartphone addiction, as well as demographics, were collected via an online survey from 391 female college students in Taiwan. Participants in two groups of moderate to high and low physical activity were compared using a zero-order bivariate correlation in terms of independent variables. A moderated mediation model using Model 14 in the Hayes’ PROCESS macro with 1000 bootstrapping resamples was applied to assess moderation effects. There were significant differences in terms of weight status, smartphone addiction, and weight stigma between active and inactive groups (p < 0.001). All independent variables except for age were positively correlated (0.14 < r < 0.45). Multivariate regression models indicated that weight status was associated with weight stigma (odds ratio [OR] = 9.13, p < 0.001; 95% CI = 6.90, 11.35). Weight status (OR = 0.47, p = 0.03; 95% CI = 0.23, 0.93), weight stigma (OR = 0.96, p = 0.03; 95% CI = 0.922, 0.997), and smartphone addiction (OR = 0.11, p = 0.003; 95% CI = 0.03, 0.47) were associated with physical activity. The moderating role of smartphone addiction on the association between weight stigma and physical activity was also identified (OR = 1.05, p = 0.049; 95% CI = 1.0001, 1.1004). The moderating effect of smartphone addiction on the association between weight stigma and physical activity suggests that designing interventions to address the negative impacts of both weight stigma and smartphone addiction may help to improve physical activity in female college students.

Indexed as

Behavior, AddictiveWeight PrejudiceCross-Sectional StudiesExerciseFemaleHumansInternet Addiction DisorderSmartphoneStudentsUniversitiesaddictive behaviorsfemaleinternet addiction disorderphysical activitysmartphone useweight stigmayoung adults

Identifiers

PMID35270328
PMCPMC8909679
OpenAlexW4213453159

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.