Evidence map›Paper›PMID 35267020›Full record

ArticleThe Gerontologist2022

Motivation to Engage in Aging Research: Are There Typologies and Predictors?

Dawn C Carr, Shubo Tian, Zhe He, Shayok Chakraborty, Michael Dieciuc, Nicholas Gray, Maedeh Agharazidermani, Mia Liza A Lustria, Andrew Dilanchian, Shenghao Zhang and 3 more

Open access · greenAbstract read
In one paragraph

Article in The Gerontologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.7field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 18 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

13 authors at 1 institution in 1 country.

Dawn C CarrDepartment of Sociology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0003-1091-1759
Shubo TianDepartment of Statistics, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0001-6415-1439
Zhe HeInstitute for Successful Longevity, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0003-3608-0244
Shayok ChakrabortyInstitute for Successful Longevity, Florida State University, Tallahassee, Florida, USA.
Michael DieciucDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.
Nicholas GrayInstitute for Successful Longevity, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-8034-9223
Maedeh AgharazidermaniSchool of Information, Florida State University, Tallahassee, Florida, USA.
Mia Liza A LustriaSchool of Information, Florida State University, Tallahassee, Florida, USA.
Andrew DilanchianDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.
Shenghao ZhangDepartment of Psychology, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-3870-1975
Neil CharnessInstitute for Successful Longevity, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0002-1002-3439
Antonio TerraccianoInstitute for Successful Longevity, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0001-5799-8885
Walter R BootInstitute for Successful Longevity, Florida State University, Tallahassee, Florida, USA.
Florida State University · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
The Adherence Promotion with Person-centered Technology (APPT) Project: Promoting Adherence to Enhance the Early Detection and Treatment of Cognitive DeclineR01AG064529 · NIA · FLORIDA STATE UNIVERSITY · PI BOOT, WALTER RICHARD, CHAKRABORTY, SHAYOK · 2019 to 2023
$3.2M
Systematic Analysis of Clinical Study Generalizability Assessment Methods with InformaticsR21AG061431 · NIA · FLORIDA STATE UNIVERSITY · PI BIAN, JIANG, HE, ZHE · 2019 to 2020
$793k
NCATS NIH HHS UL1 TR001427NIA NIH HHS R01 AG064529NIA NIH HHS R21 AG061431
6 · The paper itself

Abstract

BACKGROUND AND

objectivesStudy recruitment and retention of older adults in research studies is a major challenge. Enhancing understanding of individual differences in motivations to participate, and predictors of motivators, can serve the dual aims of facilitating the recruitment and retention of older adults, benefiting study validity, economy, and power. RESEARCH DESIGN AND

methodsOlder adults (N = 472) past and potential participants were surveyed about motivations to participate in research, demographic, and individual difference measures (e.g., health status, cognitive difficulties). Latent class and clustering analyses explored motivation typologies, followed by regression models predicting individual motivators and typologies.

resultsOlder adults endorsed a diversity of research motivations, some of which could be predicted by individual difference measures (e.g., older participants were more motivated by the desire to learn new technology, participants without a college education were more motivated by financial compensation, and participants with greater self-reported cognitive problems were more likely to participate to gain cognitive benefit). Clustering analysis revealed 4 motivation typologies: brain health advocates, research helpers, fun seekers, and multiple motivation enthusiasts. Cognitive difficulties, age, employment status, and previous participation predicted membership in these categories. DISCUSSION AND IMPLICATIONS: Results provide an understanding of different participant motivations beyond differences between younger and older adults and begin to identify different classes of older adults motivated to participate in research studies. Results can provide guidance for targeted recruitment and retention strategies based on individual differences in stated or predicted motivations.

Indexed as

GeroscienceMotivationAgedHumansLearningSelf ReportSurveys and QuestionnairesAdherenceMotivationRecruitmentResearch participation

Identifiers

PMID35267020
PMCPMC9710243
OpenAlexW4221062318

What OpenQuestion holds

Textmetadata
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.