Literature DB >> 27409987

Association between prenatal care and small for gestational age birth: an ecological study in Quebec, Canada.

N Savard1, P Levallois2,3, L P Rivest4, S Gingras5.   

Abstract

BACKGROUND: In Quebec, women living on low income receive a number of additional prenatal care visits, determined by their area of residence, of both multi-component and food supplementation programs. We investigated whether increasing the number of visits reduces the odds of the main outcome of small for gestational age (SGA) birth (weight < 10th percentile on the Canadian scale).
METHODS: In this ecological study, births were identified from Quebec's registry of demographic events between 2006 and 2008 (n = 156 404; 134 areas). Individual characteristics were extracted from the registry, and portraits of the general population were deduced from data on multi-component and food supplement interventions, the Canadian census and the Canadian Community Health Survey. Mothers without a high school diploma were eligible for the programs. Multilevel logistic regression models were fitted using generalized estimating equations to account for the correlation between individuals on the same territory. Potential confounders included sedentary behaviour and cigarette smoking. The odds ratios (ORs) were adjusted for mother's age, marital status, parity, program coverage and mean income in the area.
RESULTS: Mothers eligible for the programs remain at a higher odds of SGA than non-eligible mothers (OR = 1.40; 95% confidence interval [CI]: 1.30-1.51). Further, areas that provide more visits to eligible mothers (4-6 food supplementation visits) seem more successful at reducing the frequency of SGA birth than those that provide 1-2 or 3 visits (OR = 0.86; 95% CI: 0.75-0.99).
CONCLUSION: Further studies that validate whether an increase in the number of prenatal care interventions reduces the odds of SGA birth in different populations and evaluate other potential benefits for the children should be done.

Entities:  

Keywords:  birth weight; gestational age; health behaviour; intervention; reproductive health

Mesh:

Year:  2016        PMID: 27409987      PMCID: PMC4962101          DOI: 10.24095/hpcdp.36.7.01

Source DB:  PubMed          Journal:  Health Promot Chronic Dis Prev Can        ISSN: 2368-738X            Impact factor:   3.240


  20 in total

1.  Levels and kinds of evidence for public-health nutrition.

Authors:  A S Truswell
Journal:  Lancet       Date:  2001-04-07       Impact factor: 79.321

2.  Assessing the role and effectiveness of prenatal care: history, challenges, and directions for future research.

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3.  A study of the association between characteristics of CLSCs and the risk of small for gestational age births among term and preterm births in Quebec, Canada.

Authors:  Nathalie Savard; Patrick Levallois; Louis-Paul Rivest; Suzanne Gingras
Journal:  Can J Public Health       Date:  2012 Mar-Apr

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Authors:  Denise S Silveira; Iná S Santos
Journal:  Cad Saude Publica       Date:  2004-10-13       Impact factor: 1.632

5.  Some problems with Cochrane reviews of diet and chronic disease.

Authors:  A S Truswell
Journal:  Eur J Clin Nutr       Date:  2005-08       Impact factor: 4.016

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Authors:  Lucie Richard; Danielle D'Amour; Jean-François Labadie; Jean-Marc Brodeur; Raynald Pineault; Louise Séguin; Robert Latour
Journal:  Can J Public Health       Date:  2003 Mar-Apr

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Authors:  S Greenland
Journal:  Am J Public Health       Date:  1989-03       Impact factor: 9.308

Review 8.  Ecologic studies in epidemiology: concepts, principles, and methods.

Authors:  H Morgenstern
Journal:  Annu Rev Public Health       Date:  1995       Impact factor: 21.981

Review 9.  Support during pregnancy for women at increased risk of low birthweight babies.

Authors:  Ellen D Hodnett; Suzanne Fredericks; Julie Weston
Journal:  Cochrane Database Syst Rev       Date:  2010-06-16

10.  Variable selection: current practice in epidemiological studies.

Authors:  Stefan Walter; Henning Tiemeier
Journal:  Eur J Epidemiol       Date:  2009-12-05       Impact factor: 8.082

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