Evidence map›Paper›PMID 40574885›Full record

ArticleDigital health

The impact of digital finance on elderly physical health: Evidence from China.

Haoyi Zeng, Chuanfeng Han, Pihui Liu, Lingpeng Meng

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Haoyi ZengSchool of Economics and Management, Tongji University, Shanghai, China.ORCID https://orcid.org/0009-0009-6367-5797
Chuanfeng HanSchool of Economics and Management, Tongji University, Shanghai, China.
Pihui LiuSchool of Management Engineering, Shandong Jianzhu University, Jinan, China.
Lingpeng MengChina Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China.ORCID https://orcid.org/0000-0001-6529-4079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Given an increasingly aging global population, physical health challenges faced by elderly individuals have become a critical societal issue. This study investigates the influence of digital finance on the physical health of seniors and its underlying mechanisms to explore an effective technology-facilitated pathway for enhancing well-being in later life. Methods: Using data from the China Health and Retirement Longitudinal Study, the digital finance index developed, and a two-way fixed-effects model, this study assessed the role of digital finance in shaping the physical health of older adults. Results: We find that the development of digital finance has significantly promoted the physical health of older adults mainly by increasing income, promoting healthcare accessibility and social participation. The relaxation of liquidity constraints is not the main reason for this improvement. Heterogeneity analysis reveals that welfare improvement exhibits no noticeable differences based on their residence and education level or the region's traditional financial scale; these trends are more pronounced in the western region. In addition, innovative financial products such as digital insurance, mobile payments, and monetary funds facilitate the promotion of elderly physical health. Conclusions: The study provides evidence of the practical value of digital finance in enhancing the physical health of the elderly. It also recommends the adoption of elderly-friendly designs and complementary social services through which digital financial tools can contribute more effectively to promoting efficient health outcomes.

Indexed as

Digital financeelderlyphysical activityphysical healthquantitative

Identifiers

PMID40574885
PMCPMC12198546

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.