Evidence map›Paper›PMID 39744081›Full record

ArticleActivities, adaptation & aging2024

Predictors of Technology Use: Evidence from Elite Older Adults.

Xiaoqing Wan, Nichole R Lighthall, Nelson Roque

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Activities, adaptation & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

3 authors.

Xiaoqing WanDepartment of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL, USA, 32816.
Nichole R LighthallDepartment of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL, USA, 32816.
Nelson RoqueDepartment of Human Development and Family Studies, Pennsylvania State University, 119 Health and Human Development Building, University Park, PA 16802.

Funding

Characterizing and Modulating Neurocognitive Processes of Learning to Trust and Distrust in Aging (Diversity Supplement)R01AG072658 · NIA · UNIVERSITY OF FLORIDA · PI Natalie C Ebner, Nichole Lighthall · 2022 to 2026
$3.6M
NIA NIH HHS R01 AG072658
6 · The paper itself

Abstract

Few studies have examined older, elite users of digital technology use. To address this gap, we examined predictors of novel technology use among this group. As hypothesized, several markers of successful aging predicted greater technology use in older elite users, including higher levels of cognition, socioeconomics, and self-efficacy. Skills needed to engage with technology at a basic level differ slightly from those needed to reach higher levels. While prior research suggested that poor episodic long-term memory may pose a barrier to basic technology use, short-term memory may be more important at the upper end of the technology use spectrum.

Indexed as

CognitionDigital divideMemorySelf-efficacySuccessful agingTechnology use

Identifiers

PMID39744081
PMCPMC11684780

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.