Evidence map›Paper›PMID 29982458›Full record

ArticleThe Gerontologist2019

Attitudes Toward Computers Across Adulthood From 1994 to 2013.

Chin Chin Lee, Sara J Czaja, Jerad H Moxley, Joseph Sharit, Walter R Boot, Neil Charness, Wendy A Rogers

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in The Gerontologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05220631 (A Technological Intervention to Improve Nutrition Among Older Adult Congregate Meal Participants During COVID-19), which is not on this map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
32.5field-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.

NCT05220631 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

A Technological Intervention to Improve Nutrition Among Older Adult Congregate Meal Participants During COVID-19

TypeinterventionalSponsorThe University of Texas at San AntonioRan2022 to 2026Enrolled369ConditionsNutrition Poor, Physical Inactivity, Social IsolationArmsTechnology intervention, Digital Nutrition Intervention
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 114 citations in OpenAlex.

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  4. Performance using a visuo-haptic surgical simulator is affected by age.Advances in simulation (London, England) · 2026
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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 4 institutions in 1 country.

Chin Chin LeeDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Florida.
Sara J CzajaDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York.
Jerad H MoxleyDivision of Geriatrics and Palliative Medicine, Weill Cornell Medicine, New York.
Joseph SharitDepartment of Industrial Engineering, University of Miami, Florida.
Walter R BootDepartment of Psychology, Florida State University, Florida.
Neil CharnessDepartment of Psychology, Florida State University, Florida.
Wendy A RogersApplied Health Sciences, University of Illinois Urbana-Champaign, Illinois.
Cornell University · USFlorida State University · USUniversity of Miami · USUniversity of Illinois Urbana-Champaign · US

Funding

Understanding Issues Surrounding Technology Uptake and the Influence of Technology and Decision Making in Older AdultsP01AG017211 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CZAJA, SARA J · 1999 to 2019
$26.6M
NIA NIH HHS P01 AG017211
6 · The paper itself

Abstract

Background and Objectives: Regardless of the increased deployment of technologies in everyday living domains, barriers remain that hamper technology adoption by older adults. Understanding barriers to adoption such as individual differences in attitudes toward computers is important to the design of strategies to reduce age-related digital disparities. Research Design and Methods: This article reports a time-sequential analysis of data from the Edward R. Roybal Center on Human Factors and Aging Research and the Center for Research and Education on Aging and Technology Enhancement (CREATE) on computer attitudes among a large (N = 3,917), diverse sample of community-dwelling adults aged from 18 to 98 years. The data were gathered from 1994 to 2013. Results: The findings indicated that there are still age disparities in attitudes; older adults report less comfort with and less efficacy about using computers than younger people. We also found a cohort (birth year) effect; attitudes are generally more positive among more recent birth cohorts. Those who have more education and experience with computers also have more positive attitudes. Males generally have more positive attitudes than females; however, the gender difference decreases with increased age. Discussion and Implications: Technology affords potential benefits for older people, but lack of uptake in technology clearly puts older adults at a disadvantage in terms of negotiating today's digital world. This article provides insight into attitudinal barriers that may affect on technology uptake among older adults. The findings have implications for the design of technology training programs, design of technology systems, and policy.

Indexed as

Attitude to ComputersAdolescentAdultAgedAged, 80 and overAgingDiffusion of InnovationFemaleHumansIndependent LivingMaleMiddle AgedSelf EfficacySurveys and QuestionnairesYoung Adult

Identifiers

PMID29982458
PMCPMC6326256
OpenAlexW2910113243

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.