122 results on '"Charreire, Hélène"'
Search Results
102. Une géographie de l’offre de soins en restructuration : les territoires des maternités en Bourgogne
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Charreire, Hélène, primary, Combier, Evelyne, additional, Michaut, Francis, additional, Ferdynus, Cyril, additional, Blondel, Béatrice, additional, Drewniak, Nicolas, additional, Le Vaillant, Marc, additional, Pilkington, Hugo, additional, Amat-Roze, Jeanne-Marie, additional, and Zeitlin, Jennifer, additional
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- 2012
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103. Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)
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Chaix, Basile, primary, Bean, Kathy, additional, Daniel, Mark, additional, Zenk, Shannon N., additional, Kestens, Yan, additional, Charreire, Hélène, additional, Leal, Cinira, additional, Thomas, Frédérique, additional, Karusisi, Noëlla, additional, Weber, Christiane, additional, Oppert, Jean-Michel, additional, Simon, Chantal, additional, Merlo, Juan, additional, and Pannier, Bruno, additional
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- 2012
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104. La géographie de la santé et l'Université Paris Est Créteil (Health geography at the University Paris Est Créteil)
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Amat-Roze, Jeanne-Marie, primary and Charreire, Hélène, additional
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- 2012
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105. Des métabolismes urbains aux métabolismes humains : réflexions sur les relations entre environnements urbains et comportements nutritionnels. (From urban metabolisms to human metabolisms : reflecting on the relations between urban environmenets and nutritional behaviors)
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Charreire, Hélène, primary
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- 2012
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106. Associations between dietary patterns, physical activity (leisure-time and occupational) and television viewing in middle-aged French adults
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Charreire, Hélène, primary, Kesse-Guyot, Emmanuelle, additional, Bertrais, Sandrine, additional, Simon, Chantal, additional, Chaix, Basile, additional, Weber, Christiane, additional, Touvier, Mathilde, additional, Galan, Pilar, additional, Hercberg, Serge, additional, and Oppert, Jean-Michel, additional
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- 2011
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107. Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model
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Salze, Paul, primary, Banos, Arnaud, additional, Oppert, Jean-Michel, additional, Charreire, Hélène, additional, Casey, Romain, additional, Simon, Chantal, additional, Chaix, Basile, additional, Badariotti, Dominique, additional, and Weber, Christiane, additional
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- 2011
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108. Changes in leisure-time physical activity and sedentary behaviour at retirement: a prospective study in middle-aged French subjects
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Touvier, Mathilde, primary, Bertrais, Sandrine, additional, Charreire, Hélène, additional, Vergnaud, Anne-Claire, additional, Hercberg, Serge, additional, and Oppert, Jean-Michel, additional
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- 2010
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109. Équité socio-spatiale d’accès aux soins périnatals en milieu urbain
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Charreire, Hélène, primary and Combier, Évelyne, additional
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- 2006
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110. Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study).
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Basile Chaix, Bean, Kathy, Daniel, Mark, Zenk, Shannon N., Kestens, Yan, Charreire, Hélène, Leal, Cinira, Thomas, Frédérique, Karusisi, Noëlla, Weber, Christiane, Oppert, Jean-Michel, Simon, Chantal, Merlo, Juan, and Pannier, Bruno
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BODY weight ,FAT ,SUPERMARKETS ,BODY mass index ,WAIST circumference ,FOOD - Abstract
Purpose: Previous research on the influence of the food environment on weight status has often used impersonal measures of the food environment defined for residential neighborhoods, which ignore whether people actually use the food outlets near their residence. To assess whether supermarkets are relevant contexts for interventions, the present study explored between-residential neighborhood and between-supermarket variations in body mass index (BMI) and waist circumference (WC), and investigated associations between brands and characteristics of supermarkets and BMI or WC, after adjustment for individual and residential neighborhood characteristics. Methods: Participants in the RECORD Cohort Study (Paris Region, France, 2007-2008) were surveyed on the supermarket (brand and exact location) where they conducted their food shopping. Overall, 7 131 participants shopped in 1 097 different supermarkets. Cross-classified multilevel linear models were estimated for BMI and WC. Results: Just 11.4% of participants shopped for food primarily within their residential neighborhood. After accounting for participants' residential neighborhood, people shopping in the same supermarket had a more comparable BMI and WC than participants shopping in different supermarkets. After adjustment for individual and residential neighborhood characteristics, participants shopping in specific supermarket brands, in hard discount supermarkets (especially if they had a low education), and in supermarkets whose catchment area comprised low educated residents had a higher BMI/WC. Conclusion: A public health strategy to reduce excess weight may be to intervene on specific supermarkets to change food purchasing behavior, as supermarkets are where dietary preferences are materialized into definite purchased foods. [ABSTRACT FROM AUTHOR]
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- 2012
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111. The POLL-EXPO project (Public policies, urban Organization and Logistics as Levers for EXPOsure).
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Coll, Isabelle, Benoussaïd, Taos, Charreire, Hélène, Coll, Patrice, Coulombel, Nicolas, Dablanc, Laetitia, Etuman, Arthur Elessa, Gallez, Caroline, Guevara, Marc, Jorba, Oriol, Koning, Martin, Makni, Inès, Perez, Maria Teresa Pay, Garcia-Pando, Carlos Perez, Rey, Daniel Rodriguez, and Viguié, Vincent
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- 2019
112. Associations of supermarket characteristics with weight status and body fat: a multilevel analysis of individuals within supermarkets (RECORD study)
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Chantal Simon, Yan Kestens, Basile Chaix, Noëlla Karusisi, Shannon N. Zenk, Jean-Michel Oppert, Hélène Charreire, Bruno Pannier, Kathy Bean, Christiane Weber, Juan Merlo, Frédérique Thomas, Mark Daniel, Cinira Leal, LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epidémiologie des maladies infectieuses et modélisation (ESIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Investigations Préventives et Cliniques (CIPC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Jean Verdier [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sansom Research Institute, University of South Australia, University of Illinois [Chicago] (UIC), University of Illinois System, Université de Montréal (UdeM), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Régulations métaboliques, nutrition et diabètes (RMND), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), The Enteric Nervous System in gut and brain disorders [U1235] (TENS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Lund University [Lund], Institute for Public Health Research (Institut de Recherche en Sante Publique), National Institute for Prevention and Health Education (Institut National de Prevention et d'Education pour la Sante) [074/07-DAS], National Institute of Public Health Surveillance (Institut de Veille Sanitaire), French Ministries of Research and Health (Epidemiologic Cohorts), National Health Insurance Office for Salaried Workers (Caisse Nationale d'Assurance Maladie des Travailleurs Salaries), National Research Agency (Agence Nationale de la Recherche) [00153 05], Ile-de-France Regional Health Agency (Agence Regionale de Sante d'Ile-de-France), City of Paris (Ville de Paris), Ile-de-France Regional Council (Conseil Regional d'Ile-de-France, DIM SEnT and CODDIM), Ile-de-France Youth, Sports, and Social Cohesion Regional Direction (Direction Regionale de la Jeunesse et des Sports et de la Cohesion Sociale), Swedish Research Council, Canadian Institutes for Health Research, LAB'URBA ( LAB'URBA ), Université Paris-Est Marne-la-Vallée ( UPEM ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), École des Hautes Études en Santé Publique [EHESP] (EHESP), Chaix, Basile, Bean, Kathy, Daniel, Mark, Zenk, Shannon N, Kestens, Yan, Charreire, Hélène, Leal, Cinira, Thomas, Frédérique, Karusisi, Noëlla, Weber, Christiane, Oppert, Jean-Michel, Simon, Chantal, Merlo, Juan, Pannier, Bruno, and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)
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Gerontology ,Male ,Non-Clinical Medicine ,Epidemiology ,Economics ,Environmental Health and Occupational Health ,Psychological intervention ,lcsh:Medicine ,Social and Behavioral Sciences ,Body Mass Index ,Food Supply ,Cohort Studies ,0302 clinical medicine ,Models ,Residence Characteristics ,030212 general & internal medicine ,risk-factors ,lcsh:Science ,health care economics and organizations ,2. Zero hunger ,Human Capital ,Multidisciplinary ,Multilevel model ,food and beverages ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,Middle Aged ,Statistical ,Adipose Tissue ,Medicine ,Educational Status ,Female ,Public Health ,France ,Waist Circumference ,Research Article ,Cohort study ,Adult ,medicine.medical_specialty ,Waist ,education ,030209 endocrinology & metabolism ,Biology ,03 medical and health sciences ,Environmental health ,medicine ,Humans ,food environment ,Nutrition ,Aged ,Models, Statistical ,Population Biology ,geographic life environments ,Public health ,lcsh:R ,Body Weight ,health-care utilization ,Anthropometry ,Diet ,Socioeconomic Factors ,lcsh:Q ,Residence ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Body mass index - Abstract
International audience; PURPOSE: Previous research on the influence of the food environment on weight status has often used impersonal measures of the food environment defined for residential neighborhoods, which ignore whether people actually use the food outlets near their residence. To assess whether supermarkets are relevant contexts for interventions, the present study explored between-residential neighborhood and between-supermarket variations in body mass index (BMI) and waist circumference (WC), and investigated associations between brands and characteristics of supermarkets and BMI or WC, after adjustment for individual and residential neighborhood characteristics. METHODS: Participants in the RECORD Cohort Study (Paris Region, France, 2007-2008) were surveyed on the supermarket (brand and exact location) where they conducted their food shopping. Overall, 7 131 participants shopped in 1 097 different supermarkets. Cross-classified multilevel linear models were estimated for BMI and WC. RESULTS: Just 11.4% of participants shopped for food primarily within their residential neighborhood. After accounting for participants' residential neighborhood, people shopping in the same supermarket had a more comparable BMI and WC than participants shopping in different supermarkets. After adjustment for individual and residential neighborhood characteristics, participants shopping in specific supermarket brands, in hard discount supermarkets (especially if they had a low education), and in supermarkets whose catchment area comprised low educated residents had a higher BMI/WC. CONCLUSION: A public health strategy to reduce excess weight may be to intervene on specific supermarkets to change food purchasing behavior, as supermarkets are where dietary preferences are materialized into definite purchased foods.
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- 2012
113. Improving student diet and food security in higher education using participatory and co-creation approaches: a systematic review.
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Assilian T, Dehove H, Charreire H, Baudry J, Kesse-Guyot E, Péneau S, Julia C, Gross O, Oppert JM, and Bellicha A
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- Humans, Universities, Health Promotion methods, Food Security, Students, Diet methods
- Abstract
Background: Higher education students are an important target group for public health nutrition interventions. When designing tailored and contextually relevant interventions, participatory and co-creation approaches are increasingly recognized as promising but their use and effectiveness has not been assessed in this type of population. We systematically reviewed interventions aiming to improve dietary quality and/or food security in higher education settings with the aims 1) to identify and describe their participatory and co-creation approaches and 2) to compare the effectiveness of interventions using or not using participatory and co-creation approaches., Methods: Our search in PubMed, Google Scholar, Web of Science, EMBASE was performed in January 2023 and yielded 3658 unique records, out of which 42 articles (66 interventions) were included. Effectiveness of interventions was assessed at the individual level (longitudinal evaluations) or at the group level (repeated cross-sectional evaluations). A five-level classification was used to describe a continuum of engagement from students and other partners in the intervention design and implementation: no participation (level one), consultation, co-production, co-design and co-creation (levels two to five). To synthetize effectiveness, comparisons were made between studies without participation (level one) or with participation (levels two-five)., Results: Ten (24%) out of 42 studies used a participatory and co-creation approach (levels two-five). Studies using a participatory and co-creation approach reported a positive finding on individual-level outcome (i.e. overall diet quality or food group intake or food security) in 5/13 (38%) intervention arms (vs 13/31 or 42% for those without participation). Studies using a participatory and co-creation approach reported a positive finding on group-level outcomes (i.e. food choices in campus food outlets) in 4/7 (57%) (vs 8/23 or 35% in those without participation)., Conclusions: Participatory and co-creation approaches may improve the effectiveness of nutrition interventions in higher education settings but the level of evidence remains very limited. More research is warranted to identify best co-creation practices when designing, implementing and evaluating nutritional interventions in the higher education setting., Trial Registration: PROSPERO registration number CRD42023393004., (© 2024. The Author(s).)
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- 2024
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114. [Impact of precariousness on breast cancer care in the Île-de-France region: Results of the DESSEIN study].
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Ngô C, Bonsang-Kitzis H, Charreire H, Bochaton A, Conti B, Baffert S, Beauvais A, Arnoux A, Lécuru F, and Desprès C
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- Humans, Female, Prospective Studies, Middle Aged, Aged, France, Neoplasm Staging, Vulnerable Populations statistics & numerical data, Adult, Socioeconomic Factors, Breast Neoplasms therapy, Breast Neoplasms mortality
- Abstract
Introduction: Precariousness has been associated with an increase in breast cancer mortality, but the links between precariousness, stage at diagnosis and care pathways are little explored. The objective of the DESSEIN study was to assess the impact of precariousness on disease and care pathways., Methods: Prospective observational study in Île-de-France comparing precarious and non-precarious patients consulting for breast cancer and followed for 1 year., Results: In total, 875 patients were included between 2016 and 2019 in 19 institutions: 543 non-precarious patients and 332 precarious patients. Precarious patients had a more advanced stage at diagnosis (55% T1 vs. 63%, 30% N+ vs 19%, P=0.0006), had a higher risk of not receiving initially planned treatment (4 vs. 1%, P=0.004), and participated less in clinical trials (5 vs. 9%, P=0.03). Non-use of supportive oncology care was 2 times more frequent among patients in precarious situations (P<0.001). During treatment, 33% of deprived patients reported a loss of income, compared with 24% of non-deprived patients (P<0.001). At 12 months from diagnosis, lay-offs were 2 times more frequent in precarious patients (P=0.0001)., Discussion: Precariousness affects all stages of the cancer history and care pathway. Particular attention needs to be paid to vulnerable populations, considering issues of accessibility and affordability of care, health literacy and possible implicit bias from the care providers., (Copyright © 2024 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.)
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- 2024
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115. [Time and space in the care pathways of women suffering from breast cancer].
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Desprès C, Bochaton A, Conti B, Charreire H, Baffert S, and Ngo C
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- Humans, Female, Time Factors, Health Services Accessibility, Time-to-Treatment, Paris, Qualitative Research, Breast Neoplasms therapy, Breast Neoplasms psychology, Delayed Diagnosis, Critical Pathways
- Abstract
Facing breast cancer, women in precarious situations are more likely to be diagnosed at an advanced stage, and when detected at the same stage, they are more to die as well as faster. In this paper, we analyze a corpus of 40 semi-structured interviews conducted in six cancer services in hospitals of the Paris area on the care pathways of women with breast cancer. The analysis focuses on the beginning of the pathways (until the first treatments) and concentrates on their spatial and temporal dimension in the light of precariousness. Depending on the women's situations with regard to precariousness, the spatial and temporal organization of the pathways differs. There are socially differentiated latency periods that delay diagnosis (prior to meeting a medical professional) or the beginning of treatment (in relation to rights, the responsiveness of the health care system, and the interactions between women and the system). Spatially, the geometry of the pathways is variable and reflects different expectations of health institutions and medical staff according to the social profiles of the women. However, a detailed analysis of the pathways allows us to nuance these differences in terms of precariousness. The women's capacity to be autonomous, their network of contacts, the accessibility and responsiveness of the health care system, as well as the sensitive and emotional dimension of this stressful event affect the pathways both in terms of time and space., (Copyright © 2024 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.)
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- 2024
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116. OLYMPUS-POPGEN: A synthetic population generation model to represent urban populations for assessing exposure to air quality.
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Elessa Etuman A, Benoussaïd T, Charreire H, and Coll I
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- Humans, Urban Population, Environmental Exposure analysis, Computer Simulation, Air Pollution analysis, Air Pollutants analysis
- Abstract
Scientific Question: With the new individual- and activity-based approaches to simulating exposure to air pollutants, exposure models must now provide synthetic populations that realistically reflect the demographic profiles of individuals in an urban territory. Demographic profiles condition the behavior of individuals in urban space (activities, mobility) and determine the resulting risks of exposure and environmental inequalities. In this context, there is a strong need to determine the relevance of the population modeling methods to reproduce the combinations of socio-demographic parameters in a population from the existing databases. The difficulty of accessing complete, high-resolution databases indeed proves to be very limiting for the ambitions of the different approaches., Objective: This work proposes to evaluate the potential of a statistical approach for the numerical modeling of synthetic populations, at the scale of dwellings and including the representation of coherent socio-demographic profiles. The approach is based on and validated against the existing open databases. The ambition is to be able to build upon such synthetic populations to produce a comprehensive assessment of the risk of environmental exposure that can be cross-referenced with lifestyles, indicators of social, professional or demographic category, and even health vulnerability data., Method: The approach implemented here is based on the use of conditional probabilities to model the socio-demographic properties of individuals, via the deployment of a Monte Carlo Markov Chain (MCMC) simulation. Households are assigned to housing according to income and house price classes. The resulting population generation model was tested in the Paris region (Ile de France) for the year 2010, and applied to a population of almost 12 million individuals. The approach is based on the use of census and survey databases., Results: Validation, carried out by comparison with regional census data, shows that the model accurately reproduces the demographic attributes of individuals (age, gender, professional category, income) as well as their combination, at both regional and sub-municipal levels. Notably, population distribution at the scale of the model buildings remains consistent with observed data patterns., Conclusions and Relevance: The outcomes of this work demonstrate the ability of our approach to create, from public data, a coherent synthetic population with broad socio-demographic profiles. They give confidence for the use of this approach in an activity-based air quality exposure study, and thus for exploring the interrelations between social determinants and environmental risks. The non-specific nature of this work allows us to consider its extension to broader demographic profiles, including health indicators, and to different study regions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Elessa Etuman et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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117. Store-specific grocery shopping patterns and their association with objective and perceived retail food environments.
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Recchia D, Perignon M, Rollet P, Bricas N, Vonthron S, Perrin C, Sirieix L, Charreire H, and Méjean C
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- Humans, Adolescent, Adult, Cross-Sectional Studies, Food Preferences, Logistic Models, Food Supply, Commerce, Food, Family Characteristics
- Abstract
Objective: To explore store-specific grocery shopping patterns and assess associations with the objective and perceived retail food environment (RFE)., Design: This cross-sectional study used principal component analysis and hierarchical cluster analysis to identify grocery shopping patterns and logistic regression models to assess their associations with the RFE, while adjusting for household characteristics., Setting: The Montpellier Metropolitan Area, France., Participants: To be eligible for inclusion, participants had to be 18 years of age or older and reside in the Montpellier Metropolitan Area. Analyses were carried out on 415 households., Results: Households of cluster 'Supermarket' (49 % of households) primarily shopped at supermarkets and were less likely to live near a convenience store. Households of cluster 'Diversified' (18 %) shopped mostly at organic stores, at markets, at specialised stores, and from producers and were more likely to have a market in their activity space. Households of cluster 'Discount' (12 %) primarily shopped at discounters and were less likely to perceive a producer in their activity space. Households of cluster 'Convenience' (12 %) mostly shopped online or in convenience stores. Finally, households of cluster 'Specialized' (9 %) had high expenditures in greengrocers and in other specialised food stores and were more likely to live near a specialised food store., Conclusions: This study highlighted the importance of considering both perceived and objective RFE indicators, as well as assessments around the home and in activity space. Understanding how people buy food and interact with their RFE is crucial for policymakers seeking to improve urban food policies.
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- 2023
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118. Association of SARS-CoV-2 infection with physical activity domains and types.
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Vanhelst J, Srour B, Bourhis L, Charreire H, VerdotDeschasaux-Tanguy CM, Druesne-Pecollo N, de Edelenyi FS, Allègre J, Allès B, Deschamps V, Bellicha A, Fezeu LK, Galan P, Julia C, Kesse-Guyot E, Hercberg S, Bajos N, Severi G, Zins M, de Lamballerie X, Carrat F, Oppert JM, and Touvier M
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- Humans, Cross-Sectional Studies, Seroepidemiologic Studies, SARS-CoV-2, Surveys and Questionnaires, Communicable Disease Control, Exercise, COVID-19
- Abstract
Lockdown imposed in the early phase of the SARS-CoV-2 outbreak represented a specific setting where activity was restricted but still possible. The aim was to investigate the cross-sectional associations between physical activity (PA) and SARS-CoV-2 infection in a French population-based cohort. Participants completed a PA questionnaire. PA was classified into: (i) total PA; (ii) aerobic PA by intensity; (iii) strengthening PA; (iv) PA by domain and type; and (vii) by location. Sedentary time was also recorded. Seroprevalence of anti-SARS-CoV-2 antibodies was assessed. Multivariable logistic regression models controlling for sociodemographic, lifestyle, anthropometric data, health status, and adherence to recommended protective anti-SARS-CoV-2 behaviours were computed. From 22,165 participants included, 21,074 (95.1%) and 1091 (4.9%) had a negative and positive ELISA-S test result, respectively. Total PA, vigorous PA, leisure-time PA, household PA, outdoor PA and indoor PA were all associated with lower probability of SARS-CoV-2 infection. Observations made in such a setting shed light on PA possibilities in a context of restricted mobility, where the health benefits of PA should not be overlooked. Along with already well-established benefits of PA for non-communicable disease prevention, these findings provide additional evidence for policies promoting all types of PA as a lever for population health., (© 2023. The Author(s).)
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- 2023
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119. A natural experiment to assess how urban interventions in lower socioeconomic areas influence health behaviors: the UrbASanté study.
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Charreire H, Conti B, Bauchard L, Cissé NA, Perignon M, Rollet P, Perrin C, Blanchard S, Roda C, Feuillet T, Madelin M, Dupuis V, Evrard AS, Hellequin AP, Coll I, Larrue C, Baudet-Michel S, Vernouillet G, Ntsame-Abegue F, Fabre I, Méjean C, and Oppert JM
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- Adult, Humans, Environmental Exposure prevention & control, Public Policy, Health Risk Behaviors, Socioeconomic Factors, Air Pollution
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Background: Mechanisms underlying the associations between changes in the urban environment and changes in health-related outcomes are complex and their study requires specific approaches. We describe the protocol of the interdisciplinary UrbASanté study, which aims to explore how urban interventions can modify environmental exposures (built, social, and food environments; air quality; noise), health-related behaviors, and self-reported health using a natural experiment approach., Methods: The study is based on a natural experiment design using a before/after protocol with a control group to assess changes in environmental exposures, health-risk behaviors, and self-reported health outcomes of a resident adult population before and after the implementation of a time series of urban interventions in four contiguous neighborhoods in Paris (France). The changes in environmental exposures, health-related behaviors, and self-reported health outcomes of a resident adult population will be concurrently monitored in both intervention and control areas. We will develop a mixed-method framework combining substantial fieldwork with quantitative and qualitative analytical approaches. This study will make use of (i) data relating to exposures and health-related outcomes among all participants and in subsamples and (ii) interviews with residents regarding their perceptions of their neighborhoods and with key stakeholders regarding the urban change processing, and (iii) existing geodatabases and field observations to characterize the built, social, and food environments. The data collected will be analyzed with a focus on interrelationships between environmental exposures and health-related outcomes using appropriate approaches (e.g., interrupted time series, difference-in-differences method)., Discussion: Relying on a natural experiment approach, the research will provide new insights regarding issues such as close collaboration with urban/local stakeholders, recruitment and follow-up of participants, identification of control and intervention areas, timing of the planned urban interventions, and comparison of subjective and objective measurements. Through the collaborative work of a consortium ensuring complementarity between researchers from different disciplines and stakeholders, the UrbASanté study will provide evidence-based guidance for designing future urban planning and public health policies., Trial Registration: This research was registered at the ClinicalTrial.gov (NCT05743257)., (© 2023. The Author(s).)
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- 2023
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120. Neighborhood educational disparities in active commuting among women: the effect of distance between the place of residence and the place of work/study (an ACTI-Cités study).
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Perchoux C, Nazare JA, Benmarhnia T, Salze P, Feuillet T, Hercberg S, Hess F, Menai M, Weber C, Charreire H, Enaux C, Oppert JM, and Simon C
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- Adult, Cross-Sectional Studies, Female, Health Promotion, Humans, Middle Aged, Prospective Studies, Surveys and Questionnaires, Educational Status, Residence Characteristics statistics & numerical data, Transportation methods, Walking statistics & numerical data
- Abstract
Background: Active transportation has been associated with favorable health outcomes. Previous research highlighted the influence of neighborhood educational level on active transportation. However, little is known regarding the effect of commuting distance on social disparities in active commuting. In this regard, women have been poorly studied. The objective of this paper was to evaluate the relationship between neighborhood educational level and active commuting, and to assess whether the commuting distance modifies this relationship in adult women., Methods: This cross-sectional study is based on a subsample of women from the Nutrinet-Santé web-cohort (N = 1169). Binomial, log-binomial and negative binomial regressions were used to assess the associations between neighborhood education level and (i) the likelihood of reporting any active commuting time, and (ii) the share of commuting time made by active transportation modes. Potential effect measure modification of distance to work on the previous associations was assessed both on the additive and the multiplicative scales., Results: Neighborhood education level was positively associated with the probability of reporting any active commuting time (relative risk = 1.774; p < 0.05) and the share of commuting time spent active (relative risk = 1.423; p < 0.05). The impact of neighborhood education was greater at long distances to work for both outcomes., Conclusions: Our results suggest that neighborhood educational disparities in active commuting tend to increase with commuting distance among women. Further research is needed to provide geographically driven guidance for health promotion intervention aiming at reducing disparities in active transportation among socioeconomic groups.
- Published
- 2017
- Full Text
- View/download PDF
121. Changes in sedentary behaviours and associations with physical activity through retirement: a 6-year longitudinal study.
- Author
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Menai M, Fezeu L, Charreire H, Kesse-Guyot E, Touvier M, Simon C, Weber C, Andreeva VA, Hercberg S, and Oppert JM
- Subjects
- Female, Humans, Leisure Activities, Longitudinal Studies, Male, Middle Aged, Risk Factors, Surveys and Questionnaires, Motor Activity, Retirement, Sedentary Behavior
- Abstract
Changes in sedentary behaviours and physical activity according to retirement status need to be better defined. Retirement is a critical life period that may influence a number of health behaviours. We assessed past-year sedentary behaviours (television, computer and reading time during leisure, occupational and domestic sitting time, in h/week) and physical activity (leisure, occupational and domestic, in h/week) over 6 years (2000-2001 and 2007) using the Modifiable Activity Questionnaire in 2,841 participants (mean age: 57.3±5.0 y) of the SU.VI.MAX (Supplementation with Antioxidants and Minerals) cohort. Analyses were performed according to retirement status. Subjects retired in 2001 and 2007 (40%) were those who spent most time in sedentary behaviour and in physical activity during and outside leisure (p<0.001). Leisure-time sedentary behaviours increased in all subjects during follow-up (p<0.001), but subjects who retired between 2001 and 2007 (31%) were those who reported the greatest changes (+8.4±0.42 h/week for a combined indicator of leisure-time sedentary behaviour). They also had the greatest increase in time spent in leisure-time physical activity (+2.5±0.2 h/week). In subjects not retired 2001 and 2007 (29%), changes in time spent watching television were found positively associated with an increase in occupational physical activity (p = 0.04) and negatively associated with changes in leisure-time physical activity (p = 0.02). No consistent association between changes in sedentary behaviours and changes in physical activity was observed in subjects retired in 2001 and 2007. Public health interventions should target retiring age populations not only to encourage physical activity but also to limit sedentary behaviours.
- Published
- 2014
- Full Text
- View/download PDF
122. Measuring the food environment using geographical information systems: a methodological review.
- Author
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Charreire H, Casey R, Salze P, Simon C, Chaix B, Banos A, Badariotti D, Weber C, and Oppert JM
- Subjects
- Food Preferences, Food Supply statistics & numerical data, Humans, MEDLARS, Nutrition Surveys, PubMed, Residence Characteristics, Restaurants statistics & numerical data, Transportation, Environment, Food statistics & numerical data, Geographic Information Systems
- Abstract
Objective: Through a literature review, we investigated the geographic information systems (GIS) methods used to define the food environment and the types of spatial measurements they generate., Design: Review study., Setting: Searches were conducted in health science databases, including Medline/Pubmed, PsycINFO, Francis and GeoBase. We included studies using GIS-based measures of the food environment published up to 1 June 2008., Results: Twenty-nine papers were included. Two different spatial approaches were identified. The density approach quantifies the availability of food outlets using the buffer method, kernel density estimation or spatial clustering. The proximity approach assesses the distance to food outlets by measuring distances or travel times. GIS network analysis tools enable the modelling of travel time between referent addresses (home) and food outlets for a given transportation network and mode, and the assumption of travel routing behaviours. Numerous studies combined both approaches to compare food outlet spatial accessibility between different types of neighbourhoods or to investigate relationships between characteristics of the food environment and individual food behaviour., Conclusions: GIS methods provide new approaches for assessing the food environment by modelling spatial accessibility to food outlets. On the basis of the available literature, it appears that only some GIS methods have been used, while other GIS methods combining availability and proximity, such as spatial interaction models, have not yet been applied to this field. Future research would also benefit from a combination of GIS methods with survey approaches to describe both spatial and social food outlet accessibility as important determinants of individual food behaviours.
- Published
- 2010
- Full Text
- View/download PDF
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