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Record W4324140183 · doi:10.1161/circ.147.suppl_1.p250

Abstract P250: Prospective Associations of Coping Strategies and Variability in Their Use With Hypertension and Obesity Incidence

2023· article· en· W4324140183 on OpenAlexaff
Shuqi Zhang, Laura D. Kubzansky, Karestan C. Koenen, Judith T. Moskowitz, Janet W. Rich‐Edwards, Claudia Trudel‐Fitzgerald

Bibliographic record

VenueCirculation · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMedicineStressorHazard ratioObesityCoping (psychology)Proportional hazards modelDiseaseGerontologyDemographyConfidence intervalClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

Objectives: Stressful adverse experiences (e.g., childhood abuse) are associated to greater cardiometabolic disease risk. Yet, it is unknown whether how individuals cope with these stressors can influence disease risk. Coping strategies are usually characterized as being either adaptive (e.g., seeking social support) or maladaptive (e.g., denying the stressor). However, flexibility in tailoring their implementation to contexts appears critical to optimal adjustment and might matter for cardiometabolic health as well. Method: Participants free of hypertension and obesity from the Nurses’ Health Study II completed the validated COPE inventory and reported relevant potential covariates in 2001 (N=32,762). Hypertension and obesity respective incidence were documented every two years until 2019, separately. Cox proportional hazard models estimated hazard ratio (HR) and 95% confidence intervals (CI) of hypertension and obesity associated with the use of individual coping strategies (continuous standardized scores). The Between-Strategy Index, validated in prior epidemiologic research, was used to derive a proxy for coping flexibility, which was considered in tertiles (smaller, moderate, greater levels). This score indicates to what extent strategies chosen within a repertory are (un)equally used and potentially indicates attempts to find the best strategy or favor certain strategies across distinct stressors. In all models, a 2-year lag was introduced to reduce concerns of reverse causation. Results: After controlling for baseline sociodemographic and health status (core model), no adaptive or maladaptive strategies were related to a risk of hypertension onset, and only a few adaptive and maladaptive strategies were related to obesity incidence (e.g., per 1-SD increase: Active coping, HR=0.96, 95%CI=0.93, 0.99; Behavioral Disengagement, HR=1.05, 95%CI=1.02, 1.08). When considering coping flexibility, greater levels were related to a marginally significant lower risk of disease (hypertension: HR greater vs. moderate =0.95, 95%CI=0.90, 1.01; obesity: HR greater vs. lower levels =0.93, 95%CI=0.86, 1.00). In secondary analyses, results were overall similar when further adjusting for behavioral factors. Discussion: These findings suggest that how midlife women typically cope with stressors was not clearly associated with incidence of hypertension or obesity, although we cannot rule out a modest association with some individual coping strategies, and a suggestive protective association with greater coping flexibility levels. Since the COPE inventory captures how individuals handle stressors in general, future research on hypertension and obesity incidence should consider stressor-specific measures of coping.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.170

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 head0.039
GPT teacher head0.280
Teacher spread0.241 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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