Evidence map›Paper›PMID 41029241›Full record

ArticleBMC public health2025

How mobile payment reshapes self-reported health-empirical insights from China.

Chenxin Leng, Zhongkun Zhu, Longfei Lin

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chenxin Leng *College of Humanities and Law, Beijing University of Chemical Technology, Beijing, China.
Zhongkun Zhu *School of Economics, Beijing Institute of Technology, Beijing, China. zzkandqq@ruc.edu.cn.
Longfei LinEconomic and Management School, Yangtze University, Jingzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth plays a critical role in individual well-being, economic productivity, and overall social development. Mobile payment continues to reshape financial behaviors and lifestyles, however, how mobile payment affects individual health and how these effects differ across various population groups are not fully understood. We aimed to examine the impact of mobile payment on individual health in China.

methodsUsing the Chinese General Social Survey data for 16,751 samples in China in 2017 and 2018, this study explored the impact of mobile payment on self-reported health (SRH) in China, employing the extended ordered probit (EOP) model to address the potential selection bias. The results remain consistent after utilizing a recursive bivariate ordered probit (RBOP) method and a conditional mixed process (CMP) model for estimations. The disaggregated effects were derived from the EOP model. The Karlson-Holm-Breen (KHB) method was applied to conduct the mechanism analysis.

resultsGenerally, mobile payment has a statistically significant and positive impact on SRH. Nonetheless, this impact is heterogeneous among different age and gender groups, as well as between those with rural and urban hukou. Furthermore, mobile payment affects SRH by multiple channels including positive mechanisms (i.e. optimizing consumption structure and increasing social interaction) and negative mechanisms (i.e. causing excessive consumption and healthy risks by overuse).

conclusionThis study confirmed a positive effect of mobile payment on SRH and the impact is the strongest for the old, the female and those with rural hukou. These findings highlight the need for more targeted policy interventions to optimize the use of mobile payment, thereby enhancing its role in improving residents' health outcomes and promoting public well-being.

Indexed as

Health StatusSelf ReportAdolescentAdultAgedChinaFemaleHumansMaleMiddle AgedYoung AdultChinaExtended ordered probit modelMechanism analysesMobile paymentSelf-reported health

Identifiers

PMID41029241
PMCPMC12487419

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LicenceCC BY-NC-ND
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