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Record W2742681578 · doi:10.1111/add.13964

Ecological momentary analysis of the relations among stressful events, affective reactivity, and smoking among smokers with high versus low depressive symptoms during a quit attempt

2017· article· en· W2742681578 on OpenAlexaff
Haruka Minami, Brandon Frank, Krysten W. Bold, Danielle E. McCarthy

Bibliographic record

VenueAddiction · 2017
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsInstitute of Aging
FundersNational Institute on Drug Abuse
KeywordsAffect (linguistics)Center for Epidemiologic Studies Depression ScaleDepression (economics)Smoking cessationMedicineOdds ratioEpidemiologyPsychologyDepressive symptomsClinical psychologyDemographyInternal medicinePsychiatryAnxiety

Abstract

fetched live from OpenAlex

AIMS: To assess whether individuals trying to quit smoking who have high depressive symptoms (HD), compared with low depressive symptoms (LD): (1) report more frequent stressful events (SEs), (2) are more likely to smoke after SEs, (3) experience greater acute or persistent changes in affect after an SE, and (4) are at greater risk of smoking following affective changes. DESIGN: Smoking cessation data were analyzed using multi-level path modeling to examine the moderating effects of depressive symptoms on relations among SEs, subsequent affect, and smoking. SETTING: An academic research center in Central New Jersey, USA. PARTICIPANTS: Seventy-one adult treatment-seeking daily smokers recruited from 2010 to 2012. MEASUREMENTS: Baseline depressive symptoms [HD: Center for Epidemiological Studies Depression Scale (CES-D) ≥ 16 versus LD: CES-D < 16]; and real-time ecological momentary assessment (EMA) reports of SEs, affect, and smoking assessed during 21 days post-quit. FINDINGS: Multi-level models indicated that HD smokers were more likely than LD smokers to report stressful events [odds ratio (OR) = 2.323, P = 0.009], but had similar post-stress acute affective changes (negative affect: b = -0.117, P = 0.137, positive affect: b = 0.020, P = 0.805). Only HD smokers reported increased negative affect (NA) (b = 0.199, P = 0.030) and decreased positive affect (PA) up to 12 hours later (b = -0.217, P = 0.021), and greater lapse risk up to 24 hours after an SE (OR = 3.213, P = 0.017). The persistence of elevated NA and suppressed PA was partially explained by increased odds of subsequent SEs among HD smokers. However, the heightened stress-lapse association over 24 hours found in HD smokers was not fully explained by sustained aversive affect or subsequent SEs. CONCLUSIONS: Depressed and non-depressed smokers trying to quit appear to experience similar acute affective changes following stress: however, depressed smokers experience higher rates of exposure to stress, longer-lasting post-stress affective disturbance and greater risk of smoking lapse 12-24 hours after a stressful event than non-depressed smokers.

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)0.000
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 score0.008
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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