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Record W2496802712 · doi:10.1515/ijamh-2016-0009

Depressive symptoms, hostility, and hopelessness in inner-city adolescent health clinic patients: factor structure and demographic correlates

2016· article· en· W2496802712 on OpenAlexaff
Kathleen Pajer, Michael C. Edwards, Andrea Lourie, Sherecce Fields, Savannah Kalman

Bibliographic record

VenueInternational Journal of Adolescent Medicine and Health · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersNational Institutes of HealthInternational Business Machines Corporation
KeywordsHostilityClinical psychologyDepressive symptomsPsychiatryPsychologyInner cityMedicineAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: Depression, hostility, and hopelessness are risk factors for adult cardiovascular disease (CVD). People living in inner-city environments are particularly vulnerable. These associations may begin in adolescence, but research in this area is hampered by inadequate knowledge about how these negative psychological factors are related in teens and how they are affected by demographic characteristics. We hypothesized that depression, hostility, and hopelessness are one construct, and that this construct would be associated with race and gender in attendees at an inner-city adolescent health clinic. METHODS: Two hundred and forty-six 15-18-year-old patients filled out instruments measuring depressive symptoms, hostility, and hopelessness. Confirmatory factor analysis was used to determine whether the negative psychological factors comprised a single construct or three separate ones. General linear modeling (GLM) was used to test the associations between demographic characteristics and the results of the factor analysis. RESULTS: Depressive symptoms, hostility, and hopelessness were best characterized as three separate constructs, not one (root mean square error of approximation (RMSEA)=0.041, 90% confidence interval (CI)=(0.035, 0.047), comparative fit index (CFI)=0.98). There were no significant relationships between demographic variables and depressive symptoms or hostility. Six percent of the variance in hopelessness scores was accounted for by gender, race, and the interaction between the two (F=3.76; p=0.006), with White males, reporting the highest levels of hopelessness. CONCLUSION: In an urban adolescent health clinic population, depressive symptoms, hostility, and hopelessness were best understood as three separate constructs. Hopelessness was significantly higher in White males. Implications for future clinical research on negative psychological factors in teens are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.369
Teacher spread0.339 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2016
Admission routes1
Has abstractyes

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