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Record W4290804195 · doi:10.1037/fsh0000726

Acculturation gap conflicts and self-rated health among Hispanic emerging adults.

2022· article· en· W4290804195 on OpenAlexaff
Abir Rahman, Mariana Sánchez, Zoran Bursac, Chanadra Young Whiting, Tanjila Taskin, Amandeep Kaur, Edward Leinaar, Shyfuddin Ahmed, Nasrin Karim, Marcel A. de Dios, Miguel Ángel Cano

Bibliographic record

VenueFamilies Systems & Health · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsInstitute of Health Services and Policy Research
FundersNational Institute on Minority Health and Health DisparitiesNational Institute on Alcohol Abuse and Alcoholism
KeywordsAcculturationStressorPsycINFOMultilevel modelPsychologyPsychological interventionClinical psychologyGerontologyMedicineEthnic groupMEDLINESociologyPsychiatryPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Emerging adulthood is a distinct and challenging developmental stage of life. It may be particularly stressful for Hispanic emerging adults due to various cultural stressors. However, there is little research on the impact of one particular cultural stressor, the acculturation gap. Therefore, this study aims to examine whether acculturation gap conflicts are associated with self-rated health. METHOD: Participants were recruited in Arizona and Florida, and 200 Hispanic emerging adults (ages 18-25) completed a cross-sectional survey. Data were analyzed using hierarchical multiple regression. RESULTS: Coefficients from a hierarchical multiple regression model indicated that higher levels of acculturation gap conflicts were associated with lower self-rated health after controlling for psychological stress and other demographic variables. DISCUSSION: This is the first study on acculturation gap conflicts and self-rated health among Hispanics. Findings from this study indicate that acculturation gap conflicts are associated with self-rated health and merit further investigation as they may have implications for health interventions targeting Hispanics. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
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 head0.045
GPT teacher head0.360
Teacher spread0.315 · 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.

Study designQualitative
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

Citations1
Published2022
Admission routes1
Has abstractyes

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