Evidence map›Paper›PMID 36113893›Full record

ArticleFamily medicine and community health2022

Medical, behavioural and social preconception and interconception risk factors among pregnancy planning and recently pregnant Canadian women.

Cindy-Lee Dennis, Alessandra Prioreschi, Hilary K Brown, Sarah Brennenstuhl, Rhonda C Bell, Stephanie Atkinson, Dragana Misita, Flavia Marini, Sarah Carsley, Nilusha Jiwani-Ebrahim and 1 more

Abstract read
In one paragraph

Article in Family medicine and community health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

11 authors.

Cindy-Lee DennisLawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada cindylee.dennis@utoronto.ca.
Alessandra PrioreschiSAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg-Braamfontein, Gauteng, South Africa.ORCID 0000-0002-6913-0706
Hilary K BrownDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8690-5841
Sarah BrennenstuhlLawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.
Rhonda C BellDepartment of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.
Stephanie AtkinsonPaediatrics, McMaster University, Hamilton, Ontario, Canada.
Dragana MisitaDepartment of Agricultural, Food and Nutritional Sciences, University of Alberta, Edmonton, Alberta, Canada.
Flavia MariniSt Michael's Hospital Li Ka Shing Knowledge Institute, Toronto, Ontario, Canada.
Sarah CarsleyDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Nilusha Jiwani-EbrahimYork Region Public Health, Vaughan, Ontario, Canada.
Catherine BirkenPaediatric Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.

Funding

CIHR HLC-154502
6 · The paper itself

Abstract

objectivesThe objective of this study is to describe the clustering of medical, behavioural and social preconception and interconception health risk factors and determine demographic factors associated with these risk clusters among Canadian women.

designCross-sectional data were collected via an online questionnaire assessing a range of preconception risk factors. Prevalence of each risk factor and the total number of risk factors present was calculated. Multivariable logistic regression models determined which demographic factors were associated with having greater than the mean number of risk factors. Exploratory factor analysis determined how risk factors clustered, and Spearman's r determined how demographic characteristics related to risk factors within each cluster.

settingCanada.

participantsParticipants were recruited via advertisements on public health websites, social media, parenting webpages and referrals from ongoing studies or existing research datasets. Women were eligible to participate if they could read and understand English, were able to access a telephone or the internet, and were either planning a first pregnancy (preconception) or had ≥1 child in the past 5 years and were thus in the interconception period.

resultsMost women (n=1080) were 34 or older, and were in the interconception period (98%). Most reported risks in only one of the 12 possible risk factor categories (55%), but women reported on average 4 risks each. Common risks were a history of caesarean section (33.1%), miscarriage (27.2%) and high birth weight (13.5%). Just over 40% had fair or poor eating habits, and nearly half were not getting enough physical activity. Three-quarters had a body mass index indicating overweight or obesity. Those without a postsecondary degree (OR 2.35; 95% CI 1.74 to 3.17) and single women (OR 2.22, 95% CI 1.25 to 3.96) had over twice the odds of having more risk factors. Those with two children or more had 60% lower odds of having more risk factors (OR 0.68, 95% CI 0.52 to 0.86). Low education and being born outside Canada were correlated with the greatest number of risk clusters.

conclusionsMany of the common risk factors were behavioural and thus preventable. Understanding which groups of women are prone to certain risk behaviours provides opportunities for researchers and policy-makers to target interventions more efficiently and effectively.

Indexed as

Cesarean SectionPreconception CareCanadaChildCross-Sectional StudiesFemaleHumansParturitionPregnancyRisk FactorsHealthMaternal-Child Health ServicesWomen's Health

Identifiers

PMID36113893
PMCPMC9486295

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.