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Record W2020122807 · doi:10.14740/jocmr2018w

Depression, Suicide Ideation, and Thyroid Tumors Among Ukrainian Adolescents Exposed as Children to Chernobyl Radiation

2015· article· en· W2020122807 on OpenAlexvenueno aff
George Contis, Thomas P. Foley

Bibliographic record

VenueJournal of Clinical Medicine Research · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsnot available
FundersUniversity of Pittsburgh
KeywordsMedicineSuicidal ideationDepression (economics)PsychosocialPsychiatryThyroidPediatricsPoison controlSuicide preventionEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The Chernobyl Childhood Illness Program (CCIP) was a humanitarian assistance effort funded by the United States Congress. Its purpose was to assist the Ukrainian Government to identify and treat adolescents who developed mental and physical problems following their exposure as young children to Chernobyl radiation. Thirteen years after the Chernobyl nuclear plant accident in 1986, the CCIP examined 116,655 Ukrainian adolescents for thyroid diseases. Of these, 115,191 were also screened for depression, suicide ideation, and psychological problems. The adolescents lived in five of Ukraine's seven most Chernobyl radiation contaminated provinces. They were up to 6 years of age or in utero when exposed to nuclear fallout, or were born up to 45 months after Chernobyl. METHODS: Ukrainian endocrinologist and ultrasonographers used physical examination and ultrasonography of the neck to evaluate the adolescents for thyroid tumors. The adolescents were then screened for depression by the Children's Depression Inventory (CDI). After this, Ukrainian psychologists conducted individual psychological interviews to corroborate the adolescents' CDI responses. RESULTS: Papillary thyroid carcinoma was diagnosed in eight adolescents, a high prevalence rate similar to that reported by other studies from the Soviet Union. Screening identified thyroid nodules in 1,967 adolescents (1.7%). Depression was diagnosed in 15,399 adolescents (13.2%), suicide ideation in 813 (5.3%), and attempted suicide in 354 (2.3%). Underlying components of the participants' depression were negative mood, interpersonal difficulties, negative self-esteem, ineffectiveness, and anhedonia. Depression was greater in females (77%). Those with thyroid and psychological problems were referred for treatment. CONCLUSIONS: The adolescents screened by CCIP represent the largest Ukrainian cohort exposed to Chernobyl radiation as children who were evaluated for both thyroid tumors and depression. The group had an increased prevalence of thyroid cancer, thyroid tumors, depression, and suicide ideation. CCIP demonstrated that psychological problems among Chernobyl exposed adolescents began earlier in life than previously reported. They also experienced socioeconomic problems from their relocation from radiation-affected areas and from the Soviet's inadequate responses to their health needs. CCIP's findings underscore the requirement that governments prepare plans to deal promptly with the diagnosis and treatment of nuclear accident victims' medical and psychological problems.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

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

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 head0.117
GPT teacher head0.459
Teacher spread0.342 · 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

Citations43
Published2015
Admission routes1
Has abstractyes

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