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Record W3078418030 · doi:10.1093/pch/pxaa068.021

22 Parental Perceptions and Patterns of Cannabis Use During Pregnancy and Breastfeeding at a Canadian Tertiary Obstetrics Centre

2020· article· en· W3078418030 on OpenAlexaffabout
Sarah Manning, Anne Drover

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCannabisBreastfeedingMedicinePregnancyObstetricsEffects of cannabisFamily medicinePsychiatryPediatrics

Abstract

fetched live from OpenAlex

Abstract Background On October 17th, 2018, recreational cannabis use became legalized in Canada. Tetrahydrocannabinol (THC) is the main psychoactive compound in cannabis. It has the ability to cross the placenta and enter fetal tissues during pregnancy and accumulate in breast milk postpartum. There is limited research on the long-term effects of cannabis use, particularly on the developing brain. Canadian guidelines recommend that women who are thinking about becoming pregnant, are pregnant, or breastfeeding should abstain from using cannabis. Objectives The objective of this study was to investigate parental perceptions and patterns of cannabis use during the pre- and post-natal periods. Design/Methods Participants were recruited from the women’s health unit at a tertiary care centre; a total of 102 patients or partners of patients who were currently pregnant or less than 6 months post-partum were enrolled in the study. Participants consented to complete an anonymous, online questionnaire including previously validated demographic questions and newly developed questions on cannabis use during pregnancy and breastfeeding. Chi-square tests were used for data analysis. Results Overall, 5.0% of pregnant women and 6.3% of breastfeeding women used cannabis daily or weekly. Women who did not complete high school were significantly more likely to use cannabis during pregnancy than women who completed higher levels of education (p < 0.001). Additionally, women who smoked cigarettes or vaped tobacco during pregnancy were significantly more likely to use cannabis during pregnancy (p < 0.001; p < 0.001). Among all participants, 22.6% and 30.4% believed there was no harm or were unsure of the harm associated with cannabis use during pregnancy and breastfeeding, respectively. Around half of the women who used cannabis during pregnancy or breastfeeding indicated that knowledge of the possible effects on the fetus or child would decrease their cannabis use. The majority of participants reported obtaining their information on cannabis use during breastfeeding from the internet (34.0%); while only 8.1% reported receiving information from a family doctor, 6.5% from an OBGYN, and 1.6% from a pediatrician. Legalization of cannabis had no reported effect on cannabis use during pregnancy and breastfeeding for the majority of participants. Conclusion It is clear that parents lack information about the safety of cannabis use during pregnancy and breastfeeding. Perinatal counselling should put an emphasis on educating parents on the risks associated with cannabis use during fetal development. In addition, given the overwhelming benefits of breastfeeding, harm reduction approaches to cannabis use while breastfeeding should be investigated.

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 score0.098
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.227
Teacher spread0.217 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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