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Record W4388405506 · doi:10.1016/j.lanepe.2023.100773

Prevalence of stress, anxiety, and symptoms of post-traumatic stress disorder among Ukrainians after the first year of Russian invasion: a nationwide cross-sectional study

2023· article· en· W4388405506 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Lancet Regional Health - Europe · 2023
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsCarleton University
FundersMinistry of Education and Science of Ukraine
KeywordsAnxietyRefugeeMental healthInternally displaced personPsychiatryAcute Stress DisorderCross-sectional studyTraumatic stressMedicineClinical psychologyPsychologyGeography

Abstract

fetched live from OpenAlex

Background: In February 2022 the Russian federation started a new invasion of Ukraine as an escalation of the ongoing war since 2014. After nine years of war and the COVID-19 pandemic, the mental health state of Ukrainians requires systematic monitoring and relevant action. The aim of present study was to investigate the state of mental health among Ukrainians assessing the levels of stress, anxiety, and post-traumatic stress disorder (PTSD) prevalence in not displaced persons (NDPs), internally displaced persons (IDPs), and refugees abroad. Methods: This study was designed as an online survey arranged in the 9-12 months after the start of the new invasion of Ukraine and includes sociodemographic data collection, evaluation of stress intensity by Perceived Stress Scale (PSS-10), anxiety with General Anxiety Disorder (GAD-7), and symptoms of post-traumatic stress disorder with PTSD Check List (PCL-5). Findings: The sample size of 3173 Ukrainians consisted of 1954 (61.6%) respondents that were not displaced persons (NDPs), 505 (15.9%) internally displaced persons within Ukraine (IDPs), and 714 (22.5%) refugees that left Ukraine. Moderate and high stress was prevalent among 68.2% (1333/1954) and 15.5% (302/1954) of NDPs, 64.4% (325/505) and 21.6% (109/505) of IDPs, and 64.7% (462/714) and 25.2% (180/714) of refugees, respectively. Moderate and severe anxiety was prevalent among 25.6% (500/1954) and 19.0% (371/1954) of NDPs, 25.7% (130/505) and 23.4% (118/505) of IDPs, and 26.2% (187/714) and 25.8% (184/714) of refugees. High levels of PTSD (33 and higher) were prevalent among 32.9% (642/1954) of NDPs, 39.4% (199/1954) of IDPs, and 47.2% (337/714) of refugees. DSM-V criteria for PTSD diagnosis was met by 50.8% (992/1954) of NDPs, 55.4% (280/505) of IDPs, and 62.2% (444/714) of refugees. Only 7.2% of the respondents reported no or mild stress, anxiety, and PTSD levels within the sample. Interpretation: The lowest stress, anxiety, and PTSD severity was observed among NDPs, with significantly higher levels among IDPs and the highest among refugees. Being forcibly displaced from the previous living area and, especially, entering a new cultural environment significantly contributes to the mental health issues caused by war exposure and witnessing. Funding: Ministry of Education and Science of Ukraine.

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.

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 score0.032
Threshold uncertainty score0.451

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 head0.044
GPT teacher head0.345
Teacher spread0.301 · 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