Evidence map›Paper›PMID 38026342›Full record

ArticleFrontiers in public health2023

Chinese university students' preferences for physical activity incentive programs: a discrete choice experiment.

Jingbo Zhang, Qing Li, Jinzi Zhang, Xianqi Zhao, Maomin Jiang, Xincheng Huang, Diyue Liu, Yupei Yan, Xialei Li, Jiangyun Chen and 6 more

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

16 authors.

Jingbo Zhang *School of Humanities and Social Sciences, Harbin Medical University, Harbin, China.
Qing Li *School of Social Development and Public Policy, Beijing Normal University, Beijing, China.
Jinzi ZhangSchool of Humanities and Social Sciences, Harbin Medical University, Harbin, China.
Xianqi ZhaoSchool of Public Health, Shandong University, Jinan, China.
Maomin JiangSchool of Public Affairs, Xiamen University, Xiamen, China.
Xincheng HuangSchool of Economics and Management, Beijing Institute of Graphic Communication, Beijing, China.
Diyue LiuInternational School of Public Health and One Health, Hainan Medical University, Haikou, China.
Yupei YanDepartment of Humanities, Arts and Media, Changzhi Medical College, Changzhi, China.
Xialei LiDepartment of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China.
Jiangyun ChenSchool of Health Management, Southern Medical University, Guangzhou, China.
Zheng Feei MaCentre for Public Health and Wellbeing, School of Health and Social Wellbeing, College of Health, Science and Society, University of the West of England, Bristol, United Kingdom.
Xiyue ZhangAlliance Manchester Business School, University of Manchester, Manchester, United Kingdom.
Wai-Kit MingDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China.
Tak-Hap WongDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong SAR, China.
Guanyun YanSchool of Humanities and Social Sciences, Harbin Medical University, Harbin, China.
Yibo WuSchool of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to explore and compare Chinese university students' preferences for various physical activity motivation programs. Patients and methods: A cross-sectional study was conducted in China from February 25 to March 25, 2022. Participants anonymously completed an online questionnaire based on a DCE. A total of 1,358 university students participated in the survey. The conditional logit model (CLM), willingness to accept (WTA), and propensity score matching (PSM) were used to assess college students' preferences for different attributes and levels of physical activity incentive programs. Results: Respondents identified the number of bonus, exercise time, and academic rewards as the three most significant attributes of the athletic incentive program. The importance of each attribute varied based on individual characteristics such as gender and BMI. In CLM, college students displayed a preference for a "¥4" bonus amount (OR: 2.04, 95% CI 1.95-2.13), "20 min" of exercise time (OR: 1.85, 95% CI 1.79-1.92), and "bonus points for comprehensive test scores" as academic rewards (OR: 1.33, 95% CI 1.28-1.37). According to the WTA results, college students were willing to accept the highest cost to obtain academic rewards tied to composite test scores. Conclusion: The number of bonus, exercise time, and academic rewards emerge as the three most crucial attributes of physical activity incentive programs. Furthermore, college students with different characteristics exhibit heterogeneity in their preferences for such programs. These findings can guide the development of programs and policies aimed at motivating college students to engage in physical activities.

Indexed as

Choice BehaviorMotivationCross-Sectional StudiesExerciseHumansStudentsUniversitieshealth behaviorhealth promotionmanagement and policyphysical activitywillingness to accept

Identifiers

PMID38026342
PMCPMC10646335

What OpenQuestion holds

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LicenceCC BY
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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.