Evidence map›Paper›PMID 37132331›Full record

ArticleJournal of the American Geriatrics Society2023

Internet usage and the prospective risk of dementia: A population-based cohort study.

Gawon Cho, Rebecca A Betensky, Virginia W Chang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
32.2field-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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 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

3 authors at 1 institution in 1 country.

Gawon ChoDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, New York, USA.ORCID 0000-0002-3512-8982
Rebecca A BetenskyDepartment of Biostatistics, School of Global Public Health, New York University, New York, New York, USA.
Virginia W ChangDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, New York, USA.
New York University · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Statistical methods for censored and dependently truncated dataR01NS094610 · NINDS · NEW YORK UNIVERSITY · PI BETENSKY, REBECCA A. · 2016 to 2019
$1.3M
NIA NIH HHS P30 AG066512NIA NIH HHS U01 AG009740NINDS NIH HHS R01 NS094610
6 · The paper itself

Abstract

backgroundLittle is known about the long-term cognitive impact of internet usage among older adults. This research characterized the association between various measures of internet usage and dementia.

methodsWe followed dementia-free adults aged 50-64.9 for a maximum of 17.1 (median = 7.9) years using the Health and Retirement Study. The association between time-to-dementia and baseline internet usage was examined using cause-specific Cox models, adjusting for delayed entry and covariates. We also examined the interaction between internet usage and education, race-ethnicity, sex, and generation. Furthermore, we examined whether the risk of dementia varies by the cumulative period of regular internet usage to see if starting or continuing usage in old age modulates subsequent risk. Finally, we examined the association between the risk of dementia and daily hours of usage. Analyses were conducted from September 2021 to November 2022.

resultsIn 18,154 adults, regular internet usage was associated with approximately half the risk of dementia compared to non-regular usage, CHR (cause-specific hazard ratio) = 0.57, 95% CI = 0.46-0.71. The association was maintained after adjustments for self-selection into baseline usage (CHR = 0.54, 95% CI = 0.41-0.72) and signs of cognitive decline at the baseline (CHR = 0.62, 95% CI = 0.46-0.85). The difference in risk between regular and non-regular users did not vary by educational attainment, race-ethnicity, sex, and generation. In addition, additional periods of regular usage were associated with significantly reduced dementia risk, CHR = 0.80, 95% CI = 0.68-0.95. However, estimates for daily hours of usage suggested a U-shaped relationship with dementia incidence. The lowest risk was observed among adults with 0.1-2 h of usage, though estimates were non-significant due to small sample sizes.

conclusionsRegular internet users experienced approximately half the risk of dementia than non-regular users. Being a regular internet user for longer periods in late adulthood was associated with delayed cognitive impairment, although further evidence is needed on potential adverse effects of excessive usage.

Indexed as

Cognitive DysfunctionInternet UseAdultAgedCohort StudiesHumansProspective StudiesRiskagingdementiahealth disparitiesinternet usage

Identifiers

PMID37132331
PMCPMC13105409
OpenAlexW4367834580

What OpenQuestion holds

Textmetadata
LicenceTDM
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.