Evidence map›Paper›PMID 37459155›Full record

ArticleJournal of medical Internet research2023

Association Between Daily Internet Use and Incidence of Chronic Diseases Among Older Adults: Prospective Cohort Study.

Peiyi Li, Chenyang Zhang, Shuanliang Gao, Yanbo Zhang, Xiaolong Liang, Chengdi Wang, Tao Zhu, Weimin Li

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
46.9field-weighted citation impact, top 1% of its field
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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  3. The level of electronic health literacy among older adults: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2024
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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

8 authors at 5 institutions in 2 countries.

Peiyi LiDepartment of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-2380-2562
Chenyang ZhangInstitute of Hospital Management, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-1817-0908
Shuanliang GaoChengdu University of Information Technology, Chengdu, China.ORCID 0009-0008-1226-7980
Yanbo ZhangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States.ORCID 0000-0003-1054-9657
Xiaolong LiangState Key Laboratory of Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, Lanzhou, China.ORCID 0009-0008-0456-7174
Chengdi Wang *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-5284-2889
Tao Zhu *Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0001-9196-1736
Weimin Li *Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-0985-0311
Sichuan University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNAlbert Einstein College of Medicine · USChengdu University of Information Technology · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic disease incidence among the elderly is increasing, which is correlated with the acceleration of population aging. Evolving internet technologies may help prevent and provide interventions for chronic diseases in an accelerating aging process. However, the impact of daily internet use on the incidence of chronic diseases is not well understood.

objectiveThis study aims to investigate whether daily internet use by middle-aged and older adults may inhibit or promote the occurrence of chronic diseases.

methodsWe included participants from the China Health and Retirement Longitudinal Study (CHARLS), a longitudinal survey of Chinese residents aged ≥45 years. We assessed 8-year data from wave 1 (June 2011-March 2012) to wave 4 (July-September 2018) in CHARLS. Data from wave 4 were used for a cross-sectional study, and data from all 4 waves were used for a longitudinal study. Self-reported data were used to track variables, including internet use, use frequency, and the incidence of different chronic diseases. Cox proportional hazards modeling was applied in the longitudinal study to examine the relationship between daily internet use and chronic diseases among middle-aged and older adults, while adjusting for sociodemographic characteristics and health behaviors. In addition, longitudinal data were used to analyze internet usage trends, and cross-sectional data were used to analyze the factors influencing internet use.

resultsAmong the 20,113 participants included in the longitudinal analyses, internet use increased significantly, from 2% to 12.3%, between 2011 and 2018. The adjusted model found statistically significant relationships between daily internet use and a lower incidence of the following chronic diseases: hypertension (hazard ratio [HR] 0.78, 95% CI 0.65-0.95, P=.01), chronic lung disease (HR 0.74, 95% CI 0.57-0.97, P=.03), stroke (HR 0.69, 95% CI 0.50-0.94, P=.02), digestive disease (HR 0.73, 95% CI 0.58-0.91, P=.005), memory-related disorders (HR 0.58, 95% CI 0.37-0.91, P=.02), arthritis or rheumatism (HR 0.60, 95% CI 0.48-0.76, P<.001), asthma (HR 0.52, 95% CI 0.33-0.84, P=.007), depression (HR 0.80, 95% CI 0.71-0.89, P<.001), and vision impairment (HR 0.83, 95% CI 0.74-0.93, P=.004). Moreover, our study also showed that with increasing frequency of internet use, the risk of some chronic diseases decreases.

conclusionsThis study found that middle-aged and older adults who use the internet have a reduced risk of developing chronic diseases versus those who do not use the internet. The increasing prevalence of daily internet use among middle-aged and older adults may stimulate contemplation of the potential role of internet platforms in future research on chronic disease prevention.

Indexed as

Chronic DiseaseInternet UseAgedChinaCross-Sectional StudiesHumansIncidenceLongitudinal StudiesMemory DisordersMiddle AgedProspective StudiesRisk Factorsagingassociationchronic diseasechronic illnessdaily internet usedisease preventioneldergeriatricgerontologyincidenceinternet usemiddle agemiddle-aged and older adultnational surveyolder adulttechnology useusage

Identifiers

PMID37459155
PMCPMC10390981
OpenAlexW4381249394

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.