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Record W4378348276 · doi:10.1080/08870446.2023.2215804

Effects of older adults’ social identification on psychological flourishing and exercise program adherence

2023· article· en· W4378348276 on OpenAlexafffund
Nathan A. Reis, Katrina J. Waldhauser, Benjamin A. Hives, Ryan M. Hulteen, Geralyn R. Ruissen, Colin M. Wierts, Eli Puterman, Yan Liu, Ryan E. Rhodes, Mark R. Beauchamp

Bibliographic record

VenuePsychology and Health · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsCarleton UniversityUniversity of VictoriaUniversity of AlbertaUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsFlourishingMultilevel modelPsychosocialGerontologySocial supportPsychologyIdentification (biology)Intervention (counseling)Randomized controlled trialSpouseMedicineClinical psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Background With the onset of the COVID-19 pandemic, many exercise programs moved online. The purpose of this study was to examine the extent to which older adults’ social identification with other exercise program members contributed to their psychological flourishing and exercise program adherence.Methods The study represented a secondary analysis of data derived from the Seniors COVID-19 Pandemic and Exercise (SCOPE) Trial, in which older adults were randomized to a waitlist control condition or one of two online (personal v group) exercise programs. Only data from participants in the trial intervention conditions (N = 162; Mage = 73.52 years; SD = 5.61) were utilized in this secondary analysis. We assessed psychological flourishing and social identification at baseline and every two weeks, as well as program adherence over each 2-week block, for 12 weeks.Results Based on stepwise multilevel modeling the results revealed that older adults’ social identification with others in their respective exercise program had a direct effect on psychological flourishing (ΔR2Unique Marginal = 0.063, p < .001) and program adherence (ΔR2Unique Marginal = 0.014, p = .03).Conclusions The results highlight the value of bolstering older adults’ social identification with others in an online exercise program to support adherence and well-being.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.957
Threshold uncertainty score0.556

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.434
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes2
Has abstractyes

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