Evidence map›Paper›PMID 22046718›Full record

Trial reportHuman factors2011

Predictors of computer use in community-dwelling, ethnically diverse older adults.

Julie M Werner, Mike Carlson, Maryalice Jordan-Marsh, Florence Clark

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Human factors, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

35 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Validity of the NIH toolbox cognitive battery in a healthy oldest-old 85+ sample.Journal of the International Neuropsychological Society : JINS · 2023
    Article
  8. Article
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  11. Article
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  15. Article
  16. Review
  17. Article
  18. A Future Research Agenda for Digital Geriatric Mental Healthcare.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2019
    Article
  19. Perceptions on technology for volunteer respite care for bedridden elders in Chile.International journal of qualitative studies on health and well-being · 2018
    Article
  20. 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.

Julie M WernerUniversity of Southern California, Los Angeles, CA 90089-2520, USA. jmwerner@usc.edu
Mike Carlson
Maryalice Jordan-Marsh
Florence Clark

Funding

Health Mediating Effects of the Well Elderly ProgramR01AG021108 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CLARK, FLORENCE A. · 2004 to 2007
$2.2M
NIA NIH HHS R01 AG021108
6 · The paper itself

Abstract

objectiveIn this study, we analyzed self-reported computer use, demographic variables, psychosocial variables, and health and well-being variables collected from 460 ethnically diverse, community-dwelling elders to investigate the relationship computer use has with demographics, well-being, and other key psychosocial variables in older adults.

backgroundAlthough younger elders with more education, those who employ active coping strategies, or those who are low in anxiety levels are thought to use computers at higher rates than do others, previous research has produced mixed or inconclusive results regarding ethnic, gender, and psychological factors or has concentrated on computer-specific psychological factors only (e.g., computer anxiety). Few such studies have employed large sample sizes or have focused on ethnically diverse populations of community-dwelling elders.

methodWith a large number of overlapping predictors, zero-order analysis alone is poorly equipped to identify variables that are independently associated with computer use. Accordingly, both zero-order and stepwise logistic regression analyses were conducted to determine the correlates of two types of computer use: e-mail and general computer use.

resultsResults indicate that younger age, greater level of education, non-Hispanic ethnicity, behaviorally active coping style, general physical health, and role-related emotional health each independently predicted computer usage.

conclusionStudy findings highlight differences in computer usage, especially in regard to Hispanic ethnicity and specific health and well-being factors. APPLICATION: Potential applications of this research include future intervention studies, individualized computer-based activity programming, or customizable software and user interface design for older adults responsive to a variety of personal characteristics and capabilities.

Indexed as

Adaptation, PsychologicalAgedAged, 80 and overComputersEthnicityFemaleHealth Status IndicatorsHumansLeisure ActivitiesLife StyleLogistic ModelsMaleMental HealthPersonal SatisfactionReligionUser-Computer Interface

Identifiers

PMID22046718
PMCPMC3211095

What OpenQuestion holds

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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.