35 research outputs found

    Use of geographic indicators of healthcare, environment and socioeconomic factors to characterize environmental health disparities

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    International audienceBackground: An environmental health inequality is a major public health concern in Europe. However just few studies take into account a large set of characteristics to analyze this problematic. The aim of this study was to identify and describe how socioeconomic, health accessibility and exposure factors accumulate and interact in small areas in a French urban context, to assess environmental health inequalities related to infant and neonatal mortality.Methods: Environmental indicators on deprivation index, proximity to high-traffic roads, green space, and healthcare accessibility were created using the Geographical Information System. Cases were collected from death certificates in the city hall of each municipality in the Nice metropolitan area. Using the parental addresses, cases were geocoded to their census block of residence. A classification using a Multiple Component Analysis following by a Hierarchical Clustering allow us to characterize the census blocks in terms of level of socioeconomic, environmental and accessibility to healthcare, which are very diverse definition by nature. Relation between infant and neonatal mortality rate and the three environmental patterns which categorize the census blocks after the classification was performed using a standard Poisson regression model for count data after checking the assumption of dispersion.Results: Based on geographic indicators, three environmental patterns were identified. We found environmental inequalities and social health inequalities in Nice metropolitan area. Moreover these inequalities are counterbalance by the close proximity of deprived census blocks to healthcare facilities related to mother and newborn. So therefore we demonstrate no environmental health inequalities related to infant and neonatal mortality.Conclusion: Examination of patterns of social, environmental and in relation with healthcare access is useful to identify census blocks with needs and their effects on health. Similar analyzes could be implemented and considered in other cities or related to other birth outcomes

    Physical activity and gestational weight gain: a systematic review of observational studies

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    BACKGROUND: Now that excessive weight gain during pregnancy is recognized as leading to complications during pregnancy that affect foetal growth, limiting weight gain during pregnancy has become a public health concern. Our aim was to perform a systematic review to assess whether observational studies reported associations between Physical Activity (PA) and Gestational Weight Gain (GWG). We were particularly interested in whether insufficient PA might be associated with high GWG. METHODS: Using Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, we searched the MEDLINE Âź databases for articles published up to February 2020 concerning case-control, cohort, and ecological studies assessing the association between PA during pregnancy and the risk of excessive and/or inadequate GWG. RESULTS: 21 observational studies on the PA of pregnant women were screened. 11 of these focused on excessive GWG, and of these a majority tend to show a significant association between various aspects of PA and excessive GWG. However, the results were more mitigated when it came to rate of GWG: three studies found that neither meeting PA recommendations nor high levels of total PA nor time spent in moderate vigorous physical activity (MVPA) or engaged in sedentary behaviour were associated with weekly GWG, while two others suggested that pregnant women not meeting PA guidelines in late pregnancy did have a higher rate of GWG. Of the seven studies investigating total GWG, only one found no association with PA. All studies suggested an inverse association between PA and total GWG - yet not all studies are statistically significant. CONCLUSION: Despite the small number of observational studies selected for our research, our findings support the main international findings, suggesting that active pregnant women gained less weight than inactive women; a lack of PA may therefore contribute to excessive GWG. The limitations of this body of evidence impede the formulation of firm conclusions. Further studies focusing clearly on the general PA assessment classification scheme are called for, to address limitations capable of affecting the strength of association

    Int J Environ Res Public Health

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    Scientific literature tends to support the idea that the pregnancy and health status of fetuses and newborns can be affected by maternal, parental, and contextual characteristics. In addition, a growing body of evidence reports that social determinants, measured at individual and/or aggregated level(s), play a crucial role in fetal and newborn health. Numerous studies have found social factors (including maternal age and education, marital status, pregnancy intention, and socioeconomic status) to be linked to poor birth outcomes. Several have also suggested that beyond individual and contextual social characteristics, living environment and conditions (or "neighborhood") emerge as important determinants in health inequalities, particularly for pregnant women. Using a comprehensive review, we present a conceptual framework based on the work of both the Commission on Social Determinants of Health and the World Health Organization (WHO), aimed at describing the various pathways through which social characteristics can affect both pregnancy and fetal health, with a focus on the structural social determinants (such as socioeconomic and political context) that influence social position, as well as on intermediary determinants. We also suggest that social position may influence more specific intermediary health determinants; individuals may, on the basis of their social position, experience differences in environmental exposure and vulnerability to health-compromising living conditions. Our model highlights the fact that adverse birth outcomes, which inevitably lead to health inequity, may, in turn, affect the individual social position. In order to address both the inequalities that begin in utero and the disparities observed at birth, it is important for interventions to target various unhealthy behaviors and psychosocial conditions in early pregnancy. Health policy must, then, support: (i) midwifery availability and accessibility and (ii) enhanced multidisciplinary support for deprived pregnant women

    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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    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’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 (2008–2011) were geocoded at the mother residential census block. Each census block was assigned a socioeconomic deprivation level. Several mothers’ 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

    Geographical Pattern of COVID-19-Related Outcomes over the Pandemic Period in France: A Nationwide Socio-Environmental Study

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    International audienceBackground: Several studies have investigated the implication of air pollution and somesocial determinants on COVID-19-related outcomes, but none of them assessed the implication ofspatial repartition of the socio-environmental determinants on geographic variations of COVID-19 related outcomes. Understanding spatial heterogeneity in relation to the socio-environmentaldeterminant and COVID-19-related outcomes is central to target interventions toward a vulnerablepopulation. Objectives: To determine the spatial variability of COVID-19 related outcomes amongthe elderly in France at the department level. We also aimed to assess whether a geographic patternof Covid-19 may be partially explained by spatial distribution of both long-term exposure to airpollution and deprived living conditions. Methods: This study considered four health events relatedto COVID-19 infection over the period of 18 March and 02 December 2020: (i) hospitalization,(ii) cases in intensive health care in the hospital, (iii) death in the hospital, and (iv) hospitalizedpatients recovered and returned back home. We used the percentage of household living in anovercrowding housing to characterize the living conditions and long-term exposure to NO2to analysethe implication of air pollution. Using a spatial scan statistic approach, a Poisson cluster analysismethod based on a likelihood ratio test and Monte Carlo replications was applied to identify high-riskclusters of a COVID-19-related outcome. Result: our results revealed that all the outcomes relatedto COVID-19 infection investigated were not randomly distributed in France with a statisticallysignificant cluster of high risk located in Eastern France of the hospitalization, cases in the intensivehealth care at the hospital, death in the hospital, and recovered and returned back home compared tothe rest of France (relative risk, RR = 1.28,p-value = 0.001, RR = 3.05,p= 0.001, RR = 2.94,p= 0.001,RR = 2.51,p= 0.001, respectively). After adjustments for socio-environmental determinants, the crudecluster shifts according to different scenarios suggested that both the overcrowding housing level andlong-term exposure to largely NO2explain the spatial distribution of COVID-19-related outcomes.Conclusions: Our findings suggest that the geographic pattern of COVID-19-related outcomes islargely explained by socio-spatial distribution of long-term exposure to NO2. However, to betterunderstand spatial variations of COVID-19-related outcomes, it would be necessary to investigateand adjust it for other determinants. Thus, the current sanitary crisis reminds us of how unequal weall are in facing this disease

    Health Equity Impact Assessment Related to Air Pollution Reduction

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    International audienceDespite considerable improvements in terms of prevention, management, and regulation, air pollution remains a leading environmental health issue worldwide [...]

    Measuring Burden of Disease Attributable to Air Pollution Due to Preterm Birth Complications and Infant Death in Paris Using Disability-Adjusted Life Years (DALYs)

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    International audienceSeveral studies have found maternal exposure to particulate matter pollution was associated with adverse birth outcomes, including infant mortality and preterm birth. In this context, our study aims to quantify the air pollution burden of disease due to preterm birth complications and infant death in Paris, with particular attention to people living in the most deprived census blocks. Data on infant death and preterm birth was available from the birth and death certificates. The postal address of mother's newborn was converted in census block number. A socioeconomic deprivation index was built at the census block level. Average annual ambient concentrations of PM 10 were modelled at census block level using the ESMERALDA atmospheric modelling system. The number of infant deaths attributed to PM 10 exposure is expressed in years of life lost. We used a three-step compartmental model to appraise neurodevelopmental impairment among survivors of preterm birth. We estimated that 12.8 infant deaths per 100,000 live births may be attributable to PM 10 exposure, and about one third of these infants lived in deprived census blocks. In addition, we found that approximately 4.8% of preterm births could be attributable to PM 10 exposure, and approximately 1.9% of these infants died (corresponding to about 5.75 deaths per 100,000 live birth). Quantification of environmental hazard-related health impacts for children at local level is essential to prioritizing interventions. Our study suggests that additional effort is needed to reduce the risk of complications and deaths related to air pollution exposure, especially among preterm births. Because of widespread exposure to air pollution, significant health benefits could be achieved through regulatory interventions aimed at reducing exposure of the population as a whole, and particularly of the most vulnerable, such as children and pregnant women

    Inégalités sociétales et exposome urbain. Des origines sociales pour des expositions différentes

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    Deguen S, Vasseur P, Kihal-Talantikite W. Exposome et inĂ©galitĂ©s environnementales. Science/MĂ©decine, 2021International audienceToday, many epidemiological studies have proved the adverse health consequences of environmental exposure. For instance, air pollution exposure is recognized to be related with respiratory and cardiovascular diseases as well as adverse pregnancy outcomes. Noise nuisances are also known to increase cardiovascular diseases and to disturb the sleeping quality. Inversely, the access and availability of various resources, as parks, green spaces, and playgrounds positively affect health, psychological and physical well-being, and favorable health behaviors. In this present literature review, we will focus on the urban dimension of exposome, defined by Robinson et al. as the accumulation of all urban settings favorable or unfavorable to health, from the time of life in utero.Les Ă©tudes Ă©pidĂ©miologiques sont nombreuses aujourd’hui Ă  rĂ©vĂ©ler l’association entre des facteurs d’exposition environnementale et des problĂšmes de santĂ©, aigus comme chroniques, et survenant Ă  diffĂ©rents stades de la vie. Citons, par exemple, l'exposition Ă  la pollution de l'air associĂ©e Ă  de nombreuses infections respiratoires, maladies cardiovasculaires et Ă  certaines issues dĂ©favorables de la grossesse. L’exposition aux nuisances sonores est Ă©galement reconnue comme pouvant augmenter le risque de maladies cardiovasculaires et perturber la qualitĂ© du sommeil. Inversement, l’accĂšs et la disponibilitĂ© de certaines ressources, comme les parcs, les aires de jeux, ou les espaces verts sont reconnus pour ĂȘtre associĂ©s Ă  un meilleur Ă©tat de santĂ©, de bien-ĂȘtre physique et psychique et Ă  des comportements favorables Ă  la santĂ©. Dans cette SynthĂšse, nous nous intĂ©resserons plus particuliĂšrement Ă  l’exposome dit « urbain », dĂ©fini par Robinson et al. comme l'ensemble des Ă©lĂ©ments de l’environnement urbain favorables et dĂ©favorables Ă  la santĂ©, et ce, dĂšs la vie in utero

    Exposome and Social Vulnerability: An Overview of the Literature Review

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    International audienceBackground—The exposome concept refers to the totality of exposures from internal and external sources, including chemical and biological agents from conception throughout the lifetime. Exposome is also made up of psychosocial components such as socio-economic status (SES), which will focus on in this review. Despite exposures to the same environmental nuisances, individuals and groups are impacted differently. According to the literature, health inequalities exist among different socioeconomic groups, and SES may influence the association between environmental nuisances and health outcomes. However, the variation of this interaction across ages has rarely been studied. There is a need to adopt a life course approach to understand the history of diseases better.Objective—The main objective of this review is to document how SES could modify the association between environmental nuisances and health outcomes, across different ages, as a first crucial step introducing the emerged concept of social exposome.Methods—The PubMed database was searched from January 2010 to August 2021 for systematic reviews published in English addressing the interaction between SES, environmental nuisances, and health outcomes. Socio-economic indicators considered include education, level of income, neighborhood environment. Environmental nuisances considered many environment nuisances, mainly air pollution and noise.Results—Among 242 literature reviews identified, 11 of them address the question of the effect modification. Overall, our work reveals that environmental nuisances were mostly associated with poorer health outcomes and that SES modified this association, increasing the health risk among the poorest. Very interestingly, our work reports the existence of this interaction across different ages, including pregnancy, childhood, and adulthood, and for various environmental nuisances.Conclusion—In conclusion, our work confirms that we are not all equal to face environmental nuisances. The poorest are more vulnerable to the health effect of environmental nuisances. Policy decisions and interventions should target this high-risk population as a priority. Further investigations are needed to formalize the concept of social exposome more precisely and then communicate about it

    Adverse Birth Outcomes Related to NO2 and PM Exposure: European Systematic Review and Meta-Analysis

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    There is a growing number of international studies on the association between ambient air pollution and adverse pregnancy outcomes, and this systematic review and meta-analysis has been conducted focusing on European countries, to assess the crucial public health issue of this suspected association on this geographical area. A systematic literature search (based on Preferred Reporting Items for Systematic reviews and Meta-Analyses, PRISMA, guidelines) has been performed on all European epidemiological studies published up until 1 April 2020, on the association between maternal exposure during pregnancy to nitrogen dioxide (NO2) or particular matter (PM) and the risk of adverse birth outcomes, including: low birth weight (LBW) and preterm birth (PTB). Fourteen articles were included in the systematic review and nine of them were included in the meta-analysis. Our meta-analysis was conducted for 2 combinations of NO2 exposure related to birth weight and PTB. Our systematic review revealed that risk of LBW increases with the increase of air pollution exposure (including PM10, PM2.5 and NO2) during the whole pregnancy. Our meta-analysis found that birth weight decreases with NO2 increase (pooled beta = −13.63, 95% confidence interval (CI) (−28.03, 0.77)) and the risk of PTB increase for 10 µg/m3 increase in NO2 (pooled odds ratio (OR) = 1.07, 95% CI (0.90, 1.28)). However, the results were not statistically significant. Our finding support the main international results, suggesting that increased air pollution exposure during pregnancy might contribute to adverse birth outcomes, especially LBW. This body of evidence has limitations that impede the formulation of firm conclusions. Further studies, well-focused on European countries, are called to resolve the limitations which could affect the strength of association such as: the exposure assessment, the critical windows of exposure during pregnancy, and the definition of adverse birth outcomes. This analysis of limitations of the current body of research could be used as a baseline for further studies and may serve as basis for reflection for research agenda improvements
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