Evidence map›Paper›PMID 36999316›Full record

ArticleWomen's health (London, England)

A cross-sectional study on alcohol and contraception use among sexually active women of childbearing age: Implications for preventing alcohol-exposed pregnancies.

Sherly Parackal, Mathew Parackal, Sumera Saeed Akhtar

Abstract read
In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sherly ParackalCentre for International Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0003-2356-1014
Mathew ParackalDepartment of Marketing, University of Otago, Dunedin, New Zealand.
Sumera Saeed AkhtarCentre for International Health, University of Otago, Dunedin, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA high proportion of unwanted or unplanned pregnancies may be alcohol-exposed due to contraception failure or non-use. Nevertheless, data on contraception and alcohol use in the context of the risk of alcohol-exposed pregnancies are sparse.

objectivesTo describe contraception use and alcohol consumption in sexually active non-pregnant women and investigate the factors associated with less effective contraception methods. STUDY

designA cross-sectional national survey of women aged 18-35 years.

methodsData from non-pregnant women who were sexually active (

resultsThe majority of participants were younger (46%), of NZ European ethnicity (78%), not in a permanent relationship (54%), with some or completed tertiary education (79%), employed (81%) and not users of the community services card (82%). Twenty-five percent of women were smokers, 94% consumed alcohol, and 72% binged at least 'monthly or less'. Most women used the pill (56%), and 20% of drinking women were using a contraception method with a 10% or more annual failure rate after 1 year of use. Women who binged 'weekly or more often' had similar odds of using less effective contraception as women who 'never' binged (

conclusionWith 20% of women at risk of an alcohol-exposed pregnancy, public health measures to address alcohol consumption and the effective use of contraception are critical to reducing the risk for alcohol-exposed pregnancies in NZ.

Indexed as

ContraceptionPregnancy, UnplannedAlcohol DrinkingCross-Sectional StudiesEthanolEthnicityFemaleHumansPregnancyEthanolalcohol-exposed pregnancybinge drinkingeffective contraception useNew Zealandpericonceptional drinking

Identifiers

PMID36999316
PMCPMC10071190

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.