Evidence map›Paper›PMID 37932770›Full record

ArticleGlobalization and health2023

Internet use, cardiometabolic multimorbidity, and death in older adults: a multi-cohort study spanning developing and developed countries.

Ziyang Ren, Shuangbo Xia, Jinfang Sun, Duoduo Wang, Yushan Du, Ning Li, Jufen Liu

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
18.2field-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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Ziyang RenInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, No 38 College Rd, Haidian District, Beijing, 100191, China.
Shuangbo XiaInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, No 38 College Rd, Haidian District, Beijing, 100191, China.
Jinfang SunOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Duoduo WangInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, No 38 College Rd, Haidian District, Beijing, 100191, China.
Yushan DuInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, No 38 College Rd, Haidian District, Beijing, 100191, China.
Ning LiInstitute of Population Research, Peking University, No 38 College Rd, Haidian District, Beijing, 100191, China.
Jufen LiuInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, No 38 College Rd, Haidian District, Beijing, 100191, China. liujufen@bjmu.edu.cn.
Peking University · CNChinese Center For Disease Control and Prevention · CNNational Health and Family Planning Commission · CN

Funding

The Mexican Health and Aging Study - IIR01AG018016 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Rebeca Wong · 1999 to 2026
$22.6M
NIA NIH HHS R01 AG018016
6 · The paper itself

Abstract

backgroundInternet use is a double-edged sword for older adults' health. Whether internet use can prevent cardiometabolic diseases and death in older adults remains controversial.

methodsFour cohorts across China, Mexico, the United States, and Europe were utilized. Internet use was defined using similar questions. Cardiometabolic diseases included diabetes, heart diseases, and stroke, with 2 or more denoting cardiometabolic multimorbidity. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression Scale and Europe-depression scale. The competing risk analysis based on subdistribution hazard regression, random-effects meta-analysis, and mediation analysis were utilized.

resultsA total of 104,422 older adults aged 50 or older were included. Internet users (vs. digital exclusion) were at lower risks of diabetes, stroke, and death, with pooled sHRs (95% CIs) of 0.83 (0.74-0.93), 0.81 (0.71-0.92), and 0.67 (0.52-0.86), respectively, which remained significant in sensitivity analyses. The inverse associations of internet use with new-onset cardiometabolic diseases and death were progressively significant in Mexico, China, the United States, and Europe. For instance, older internet users in Europe were at 14-30% lower cardiometabolic risks and 40% lower risk of death. These associations were partially mediated by reduced depressive symptoms and were more pronounced in those with high socioeconomic status and women. Furthermore, patients with prior cardiometabolic conditions were at about 30% lower risk of death if they used the internet, which was also mediated by reduced depressive symptoms. However, certain cardiometabolic hazards of internet use in those aged < 65 years, with low socioeconomic status, men, and single ones were also observed.

conclusionEnhancing internet usage in older adults can reduce depressive symptoms and thus reduce the risks of cardiometabolic diseases and death. The balance of internet use, socioeconomic status, and health literacy should be considered when popularizing the internet in older adults.

Indexed as

Cardiovascular DiseasesDiabetes MellitusStrokeAgedCohort StudiesDeveloped CountriesFemaleHumansInternet UseMaleMiddle AgedMultimorbidityCardiometabolic DiseaseDeathInternet useMeta-analysisMulti-cohortOld adults

Identifiers

PMID37932770
PMCPMC10626678
OpenAlexW4388412896

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.