Evidence map›Paper›PMID 41063631›Full record

ArticleGlobal health action2025

Activating health behaviors: how does digital infrastructure improve the physical health of middle-aged and older adults? Evidence from the 'Broadband China' pilot policy.

Zhiying Li, Yunhui Wang, Longhua Zheng, Hong Xu

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Article in Global health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

3 citing papers in PubMed.

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4 · The record

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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.

Zhiying LiSchool of Government, University of Chinese Academy of Social Sciences, Beijing, China.ORCID 0000-0002-2219-5473
Yunhui WangSchool of Public Administration, Sichuan University, Chengdu, China.ORCID 0000-0001-8824-6109
Longhua ZhengEnglish Department, Jining Shiqiao Middle School, Jining, China.ORCID 0009-0003-5826-2839
Hong XuSchool of Public Administration and Policy, Shandong University of Finance and Economics, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid development of digital infrastructure has the potential to affect public health, particularly among middle-aged and older adults. However, the causal relationship between digital infrastructure and physical health remains underexplored, especially in non-Western contexts.

objectivesThis study investigates the causal effect of digital infrastructure development on the physical health of middle-aged and older adults in China, using panel data from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2020) and a DID approach based on the Broadband China pilot policy.

methodsWe construct a quasi-natural experiment using the Broadband China policy to examine its impact on physical health. The DID model analyzes health outcomes before and after the policy, focusing on physical health and health-related expenditures. Subgroup analyses are conducted by age and education.

resultsThe findings show that (1) Digital infrastructure is associated with modest improvements in physical health, reflected in a small reduction in activity limitations; (2) Health behaviors - such as slightly increased physical exercise and marginally higher health-related spending - partially mediate these effects; (3) The relative benefits are more pronounced among older adults and those with lower education; (4) Digital infrastructure may help partially reduce health inequalities, particularly among individuals with poorer baseline health.

conclusionDigital infrastructure is associated with modest improvements in physical health among middle-aged and older adults, partly through promoting healthier behaviors. It may contribute to reducing health disparities and offer policy implications for enhancing health equity, particularly among vulnerable populations.

Indexed as

Digital TechnologyHealth BehaviorHealth PolicyHealth StatusAgedChinaExerciseFemaleHealth ExpendituresHumansLongitudinal StudiesMaleMiddle AgedPilot Projectsdigital dividehealth behaviorhealth inequalitypublic health interventionquasi-experimental design

Identifiers

PMID41063631
PMCPMC12512770

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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.