Adverse Birth Outcomes as Indicators of Poor Fetal Growth Conditions in a French Newborn Population—A Stratified Analysis by Neighborhood Deprivation Level
| العنوان: | Adverse Birth Outcomes as Indicators of Poor Fetal Growth Conditions in a French Newborn Population—A Stratified Analysis by Neighborhood Deprivation Level |
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| المؤلفون: | Wahida Kihal-Talantikite, Séverine Deguen, Marion Carayol, Pauline Le Nouveau, Pierre Legendre, Arlette Danzon, Denis Zmirou Navier |
| المساهمون: | Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| المصدر: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, 2019, 16 (21), pp.4069. ⟨10.3390/ijerph16214069⟩ International Journal of Environmental Research and Public Health, MDPI, 2019, 16 (21), pp.4069. ⟨10.3390/ijerph16214069⟩ International Journal of Environmental Research and Public Health, Vol 16, Iss 21, p 4069 (2019) Volume 16 Issue 21 |
| بيانات النشر: | HAL CCSD, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, Health, Toxicology and Mutagenesis, lcsh:Medicine, Intrauterine growth restriction, 0302 clinical medicine, Pregnancy, Residence Characteristics, Risk Factors, Poverty Areas, Birth Weight, 030212 general & internal medicine, education.field_of_study, Fetal Growth Retardation, 1. No poverty, Gestational age, Fetal growth conditions, 3. Good health, embryonic structures, Female, France, Adult, Paris, Occupational prestige, Birth weight, Population, Structural equation models (sem), Gestational Age, Latent variable, [SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetrics, Article, Structural equation modeling, 03 medical and health sciences, medicine, Humans, Infant Health, education, Socioeconomic status, business.industry, lcsh:R, Infant, Newborn, Urban Health, Public Health, Environmental and Occupational Health, medicine.disease, Adverse birth outcomes, Body Height, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, 030217 neurology & neurosurgery, Neighborhood deprivation, Demography, Social inequalities |
| الوصف: | Background: Adverse birth outcomes are related to unfavorable fetal growth conditions. A latent variable, named Favorable Fetal Growth Condition (FFGC), has been defined by Bollen et al., in 2013 he showed that this FFGC latent variable mediates the effects of maternal characteristics on several birth outcomes. Objectives: The objectives of the present study were to replicate Bollen&rsquo s approach in a population of newborns in Paris and to investigate the potential differential effect of the FFGC latent variable according to the neighborhood socioeconomic level. Methods: Newborn health data were available from the first birth certificate registered by the Maternal and Child Care department of the City of Paris. All newborns (2008&ndash 2011) were geocoded at the mother residential census block. Each census block was assigned a socioeconomic deprivation level. Several mothers&rsquo characteristics were collected from the birth certificates: age, parity, education and occupational status and the occupational status of the father. Three birth outcomes were considered: birth weight (BW), birth length (BL) and gestational age (GA). Results: Using a series of structural equation models, we confirm that the undirected model (that includes the FFGC latent variable) provided a better fit for the data compared with the model where parental characteristics directly affected BW, BL, and/or GA. However, the strength, the direction and statistical significance of the associations between the exogenous variables and the FFGC were different according to the neighborhood deprivation level. Conclusion: Future research should be designed to assess the how robust the FFGC latent variable is across populations and should take into account neighborhood characteristics to identify the most vulnerable group and create better design prevention policies. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1661-7827 1660-4601 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::449eaf54c9cfb4392f52eb05b5be57bcTest https://hal.sorbonne-universite.fr/hal-02341142Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....449eaf54c9cfb4392f52eb05b5be57bc |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 16617827 16604601 |
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