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Record W4322718988 · doi:10.1177/00099228231155004

Impact of 2019 Novel Coronavirus (2019-nCov) Pandemic and Lockdown on Parents and Caregivers in Ontario, Canada

2023· article· en· W4322718988 on OpenAlexaffabout
Shaneela Shahid, Janet Weisz, Iván D. Flórez

Bibliographic record

VenueClinical Pediatrics · 2023
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsMcMaster UniversityImpactMcMaster Children's Hospital
Fundersnot available
KeywordsMedicinePandemicAnxietyToiletingCoronavirus disease 2019 (COVID-19)DemographyPediatricsFamily medicinePsychiatryActivities of daily livingDiseaseInternal medicine

Abstract

fetched live from OpenAlex

The COVID-19 pandemic has impacted parents’ and children’s well-being. This study aimed to evaluate the impact of the COVID-19 pandemic and its preventive measures on children’s well-being and their parents’ anxiety level. Parents/caregivers were invited to respond to a self-administered survey. The primary outcome was to assess the rate and severity of parental anxiety during the pandemic/lockdown. Four hundred and thirty parents completed the survey. Ninety-two (21%) and 10 (2%) parents reported that their children gained or lost weight during the pandemic, respectively. Eighty-one (19%) parents reported a regression in their children’s developmental milestones, particularly in toileting, speech, and social interaction. The GAD-7 mean scores increased by 2.9 points (95% CI [2.5, 3.25]; P < .001) in comparison with prepandemic scores. Adjusted multivariable analysis showed that having children with psychological conditions and a maternal education level less than a university degree were significantly associated with higher parental anxiety.

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 score0.024
Threshold uncertainty score0.537

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 studies0.0000.000
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 head0.155
GPT teacher head0.468
Teacher spread0.313 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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