Evidence map›Paper›PMID 40727052›Full record

ArticleFrontiers in psychology2025

The impact of internet use on health investment behavior among middle-aged and elderly people: evidence from China.

Xin Yang, Mengjie Bie, Yuzheng Zhang, Yundong Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Xin Yang *School of Ethnology and Sociology, Yunnan University, Kunming, China.
Mengjie Bie *School of Ethnology and Sociology, Yunnan University, Kunming, China.
Yuzheng Zhang *School of Ethnology and Sociology, Yunnan University, Kunming, China.
Yundong Li *School of Ethnology and Sociology, Yunnan University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the continuous deepening of global aging, improving the health level of the elderly has become one of the most critical issues. Health investment behavior is the key for middle-aged and elderly people (over 45 years old) to prevent future health risks. This study aims to explore the relationship between Internet use and health investment behavior among middle-aged and elderly people. Methods: A hypothesis model was constructed to explore the impact of internet usage on the health investment behavior of middle-aged and elderly people. The research was based on the data of 17,813 middle-aged and elderly people aged 45 and above from the 2018 China Health and Retirement Longitudinal Study. Quantitative analysis and fixed-effect models were employed to investigate the relationship between internet usage and the health investment behavior of middle-aged and elderly people. Results: The use of the Internet has a significant positive impact on the health investment behavior of middle-aged and elderly people, specifically manifested as a 4.2% increase in the probability of health investment and a 29.8% increase in the scale of health investment. This effect is statistically significant at the 1% level. The accumulation of health information capital plays a mediating role in the relationship between Internet use and the health investment behavior of middle-aged and elderly people, while educational attainment plays a moderating role in this process. In addition, the impact of Internet use on the health investment behavior of middle-aged and elderly people is heterogeneous, and this difference is mainly reflected in factors such as place of residence, income level, and age. Overall, Internet use has a more significant impact on the health investment behavior of urban residents, those with better economic conditions, and younger groups. Conclusion: The positive impact of Internet usage on the health investment behavior of middle-aged and elderly people is of great significance. The Internet can provide more opportunities for middle-aged and elderly people to obtain health information. The more they seek health information capital, the more obvious the effect of promoting health investment behavior will be.

Indexed as

health information capitalhealth investmentmiddle-aged and elderly peoplepropensity score matchingthe internet

Identifiers

PMID40727052
PMCPMC12301404

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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.