Role of obesity in differences in cervical cancer screening rates by migration history. The CONSTANCES survey.
Identifieur interne : 000442 ( Main/Exploration ); précédent : 000441; suivant : 000443Role of obesity in differences in cervical cancer screening rates by migration history. The CONSTANCES survey.
Auteurs : Cyrielle Crampe-Casnabet [France] ; Jeanna-Eve Franck [France] ; Virginie Ringa [France] ; Mireille Coeuret-Pellicer [France] ; Pierre Chauvin [France] ; Gwenn Menvielle [France]Source :
- Cancer epidemiology [ 1877-783X ] ; 2019.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Comportement en matière de santé (MeSH), Démographie (MeSH), Dépistage précoce du cancer (statistiques et données numériques), Enquêtes et questionnaires (MeSH), Femelle (MeSH), France (épidémiologie), Humains (MeSH), Indice de masse corporelle (MeSH), Jeune adulte (MeSH), Obésité (complications), Obésité (psychologie), Sujet âgé (MeSH), Surpoids (complications), Surpoids (psychologie), Tumeurs du col de l'utérus (diagnostic), Tumeurs du col de l'utérus (psychologie), Tumeurs du col de l'utérus (épidémiologie), Tumeurs du col de l'utérus (étiologie), Émigrants et immigrants (psychologie), Émigrants et immigrants (statistiques et données numériques).
- MESH :
- diagnostic : Tumeurs du col de l'utérus.
- psychologie : Obésité, Surpoids, Tumeurs du col de l'utérus, Émigrants et immigrants.
- statistiques et données numériques : Dépistage précoce du cancer, Émigrants et immigrants.
- épidémiologie : France, Obésité, Surpoids, Tumeurs du col de l'utérus.
- étiologie : Tumeurs du col de l'utérus.
- Adolescent, Adulte, Adulte d'âge moyen, Comportement en matière de santé, Démographie, Enquêtes et questionnaires, Femelle, Humains, Indice de masse corporelle, Jeune adulte, Sujet âgé.
- Wicri :
- geographic : France.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Body Mass Index (MeSH), Demography (MeSH), Early Detection of Cancer (statistics & numerical data), Emigrants and Immigrants (psychology), Emigrants and Immigrants (statistics & numerical data), Female (MeSH), France (epidemiology), Health Behavior (MeSH), Humans (MeSH), Middle Aged (MeSH), Obesity (complications), Obesity (psychology), Overweight (complications), Overweight (psychology), Surveys and Questionnaires (MeSH), Uterine Cervical Neoplasms (diagnosis), Uterine Cervical Neoplasms (epidemiology), Uterine Cervical Neoplasms (etiology), Uterine Cervical Neoplasms (psychology), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : France.
- complications : Obesity, Overweight.
- diagnosis : Uterine Cervical Neoplasms.
- epidemiology : Uterine Cervical Neoplasms.
- etiology : Uterine Cervical Neoplasms.
- psychology : Emigrants and Immigrants, Obesity, Overweight, Uterine Cervical Neoplasms.
- statistics & numerical data : Early Detection of Cancer, Emigrants and Immigrants.
- Adolescent, Adult, Aged, Body Mass Index, Demography, Female, Health Behavior, Humans, Middle Aged, Surveys and Questionnaires, Young Adult.
Abstract
BACKGROUND
Immigrant women often have lower cervical cancer screening (CCS) rates, tend to have a higher body mass index (BMI) and may be more vulnerable to BMI-related stigmatization. Our aim was to assess the role of BMI in differences in CCS rates by migration history.
METHODS
Analyses were based on the 2012-2015 inclusion data (n = 27,226) for the population-based CONSTANCES cohort, including detailed, self-reported information on demographics and socioeconomic characteristics, migration history, health behaviours, health, and health care use. Measured BMI (underweight (<18.5), normal-weight (18.5-25), overweight (25-30), obese (>30)) was collected. Poisson regression models with robust variance were conducted to assess the contribution of BMI to differences in CCS rates by migration history, and analyses stratified by BMI were done. Multiple imputations were performed.
RESULTS
The CCS rates ranged from 87% among French-born women with two French parents to 86% among French-born women with at least one parent of foreign origin, 82% among naturalized immigrants and 74% among non-naturalized immigrants. After adjusting for covariates, non-naturalized immigrants showed an 11% (95% CI: 8%-14%) lower CCS rate than French-born women with two French parents. Adjusting for BMI did not change the estimates. When stratifying by BMI category, non-naturalized immigrants showed an 11% (7%-14%) lower CCS rate then French-born with two French parents when normal weight, a 9% (2%-16%) lower CCS rate when overweight, and an 18% (5%-30%) lower CCS rate when obese.
CONCLUSION
Migration history and BMI jointly impact CCS rates. They were lower among all non-naturalized immigrants, particularly those who were obese.
DOI: 10.1016/j.canep.2018.11.009
PubMed: 30530110
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Role of obesity in differences in cervical cancer screening rates by migration history. The CONSTANCES survey.</title><author><name sortKey="Crampe Casnabet, Cyrielle" sort="Crampe Casnabet, Cyrielle" uniqKey="Crampe Casnabet C" first="Cyrielle" last="Crampe-Casnabet">Cyrielle Crampe-Casnabet</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: c.crampecasnabet@free.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Franck, Jeanna Eve" sort="Franck, Jeanna Eve" uniqKey="Franck J" first="Jeanna-Eve" last="Franck">Jeanna-Eve Franck</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: jeanna-eve.franck@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Ringa, Virginie" sort="Ringa, Virginie" uniqKey="Ringa V" first="Virginie" last="Ringa">Virginie Ringa</name><affiliation wicri:level="3"><nlm:affiliation>CESP, INSERM U1018, Univ Paris-Saclay, Univ Paris-Sud, UVSQ, Villejuif, France. Electronic address: virginie.ringa@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CESP, INSERM U1018, Univ Paris-Saclay, Univ Paris-Sud, UVSQ, Villejuif</wicri:regionArea><placeName><settlement type="city">Villejuif</settlement></placeName></affiliation></author><author><name sortKey="Coeuret Pellicer, Mireille" sort="Coeuret Pellicer, Mireille" uniqKey="Coeuret Pellicer M" first="Mireille" last="Coeuret-Pellicer">Mireille Coeuret-Pellicer</name><affiliation wicri:level="3"><nlm:affiliation>Inserm, Population-based Epidemiologic Cohorts Unit, UMS 011, Villejuif, France; University of Versailles St-Quentin, UMRS 1018, Villejuif, France. Electronic address: mireille.pellicer@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Inserm, Population-based Epidemiologic Cohorts Unit, UMS 011, Villejuif, France; University of Versailles St-Quentin, UMRS 1018, Villejuif</wicri:regionArea><placeName><settlement type="city">Villejuif</settlement></placeName></affiliation></author><author><name sortKey="Chauvin, Pierre" sort="Chauvin, Pierre" uniqKey="Chauvin P" first="Pierre" last="Chauvin">Pierre Chauvin</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: pierre.chauvin@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Menvielle, Gwenn" sort="Menvielle, Gwenn" uniqKey="Menvielle G" first="Gwenn" last="Menvielle">Gwenn Menvielle</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: gwenn.menvielle@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019</date><idno type="RBID">pubmed:30530110</idno><idno type="pmid">30530110</idno><idno type="doi">10.1016/j.canep.2018.11.009</idno><idno type="wicri:Area/Main/Corpus">000636</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000636</idno><idno type="wicri:Area/Main/Curation">000636</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000636</idno><idno type="wicri:Area/Main/Exploration">000636</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Role of obesity in differences in cervical cancer screening rates by migration history. The CONSTANCES survey.</title><author><name sortKey="Crampe Casnabet, Cyrielle" sort="Crampe Casnabet, Cyrielle" uniqKey="Crampe Casnabet C" first="Cyrielle" last="Crampe-Casnabet">Cyrielle Crampe-Casnabet</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: c.crampecasnabet@free.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Franck, Jeanna Eve" sort="Franck, Jeanna Eve" uniqKey="Franck J" first="Jeanna-Eve" last="Franck">Jeanna-Eve Franck</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: jeanna-eve.franck@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Ringa, Virginie" sort="Ringa, Virginie" uniqKey="Ringa V" first="Virginie" last="Ringa">Virginie Ringa</name><affiliation wicri:level="3"><nlm:affiliation>CESP, INSERM U1018, Univ Paris-Saclay, Univ Paris-Sud, UVSQ, Villejuif, France. Electronic address: virginie.ringa@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>CESP, INSERM U1018, Univ Paris-Saclay, Univ Paris-Sud, UVSQ, Villejuif</wicri:regionArea><placeName><settlement type="city">Villejuif</settlement></placeName></affiliation></author><author><name sortKey="Coeuret Pellicer, Mireille" sort="Coeuret Pellicer, Mireille" uniqKey="Coeuret Pellicer M" first="Mireille" last="Coeuret-Pellicer">Mireille Coeuret-Pellicer</name><affiliation wicri:level="3"><nlm:affiliation>Inserm, Population-based Epidemiologic Cohorts Unit, UMS 011, Villejuif, France; University of Versailles St-Quentin, UMRS 1018, Villejuif, France. Electronic address: mireille.pellicer@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Inserm, Population-based Epidemiologic Cohorts Unit, UMS 011, Villejuif, France; University of Versailles St-Quentin, UMRS 1018, Villejuif</wicri:regionArea><placeName><settlement type="city">Villejuif</settlement></placeName></affiliation></author><author><name sortKey="Chauvin, Pierre" sort="Chauvin, Pierre" uniqKey="Chauvin P" first="Pierre" last="Chauvin">Pierre Chauvin</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: pierre.chauvin@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author><author><name sortKey="Menvielle, Gwenn" sort="Menvielle, Gwenn" uniqKey="Menvielle G" first="Gwenn" last="Menvielle">Gwenn Menvielle</name><affiliation wicri:level="3"><nlm:affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: gwenn.menvielle@inserm.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris</wicri:regionArea><placeName><region type="region" nuts="2">Île-de-France</region><settlement type="city">Paris</settlement></placeName></affiliation></author></analytic><series><title level="j">Cancer epidemiology</title><idno type="eISSN">1877-783X</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Body Mass Index (MeSH)</term><term>Demography (MeSH)</term><term>Early Detection of Cancer (statistics & numerical data)</term><term>Emigrants and Immigrants (psychology)</term><term>Emigrants and Immigrants (statistics & numerical data)</term><term>Female (MeSH)</term><term>France (epidemiology)</term><term>Health Behavior (MeSH)</term><term>Humans (MeSH)</term><term>Middle Aged (MeSH)</term><term>Obesity (complications)</term><term>Obesity (psychology)</term><term>Overweight (complications)</term><term>Overweight (psychology)</term><term>Surveys and Questionnaires (MeSH)</term><term>Uterine Cervical Neoplasms (diagnosis)</term><term>Uterine Cervical Neoplasms (epidemiology)</term><term>Uterine Cervical Neoplasms (etiology)</term><term>Uterine Cervical Neoplasms (psychology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Comportement en matière de santé (MeSH)</term><term>Démographie (MeSH)</term><term>Dépistage précoce du cancer (statistiques et données numériques)</term><term>Enquêtes et questionnaires (MeSH)</term><term>Femelle (MeSH)</term><term>France (épidémiologie)</term><term>Humains (MeSH)</term><term>Indice de masse corporelle (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Obésité (complications)</term><term>Obésité (psychologie)</term><term>Sujet âgé (MeSH)</term><term>Surpoids (complications)</term><term>Surpoids (psychologie)</term><term>Tumeurs du col de l'utérus (diagnostic)</term><term>Tumeurs du col de l'utérus (psychologie)</term><term>Tumeurs du col de l'utérus (épidémiologie)</term><term>Tumeurs du col de l'utérus (étiologie)</term><term>Émigrants et immigrants (psychologie)</term><term>Émigrants et immigrants (statistiques et données numériques)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>France</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Obesity</term><term>Overweight</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Uterine Cervical Neoplasms</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Tumeurs du col de l'utérus</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Uterine Cervical Neoplasms</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Uterine Cervical Neoplasms</term></keywords><keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Obésité</term><term>Surpoids</term><term>Tumeurs du col de l'utérus</term><term>Émigrants et immigrants</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Emigrants and Immigrants</term><term>Obesity</term><term>Overweight</term><term>Uterine Cervical Neoplasms</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Early Detection of Cancer</term><term>Emigrants and Immigrants</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Dépistage précoce du cancer</term><term>Émigrants et immigrants</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>France</term><term>Obésité</term><term>Surpoids</term><term>Tumeurs du col de l'utérus</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Tumeurs du col de l'utérus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Body Mass Index</term><term>Demography</term><term>Female</term><term>Health Behavior</term><term>Humans</term><term>Middle Aged</term><term>Surveys and Questionnaires</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Comportement en matière de santé</term><term>Démographie</term><term>Enquêtes et questionnaires</term><term>Femelle</term><term>Humains</term><term>Indice de masse corporelle</term><term>Jeune adulte</term><term>Sujet âgé</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>France</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Immigrant women often have lower cervical cancer screening (CCS) rates, tend to have a higher body mass index (BMI) and may be more vulnerable to BMI-related stigmatization. Our aim was to assess the role of BMI in differences in CCS rates by migration history.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>Analyses were based on the 2012-2015 inclusion data (n = 27,226) for the population-based CONSTANCES cohort, including detailed, self-reported information on demographics and socioeconomic characteristics, migration history, health behaviours, health, and health care use. Measured BMI (underweight (<18.5), normal-weight (18.5-25), overweight (25-30), obese (>30)) was collected. Poisson regression models with robust variance were conducted to assess the contribution of BMI to differences in CCS rates by migration history, and analyses stratified by BMI were done. Multiple imputations were performed.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>The CCS rates ranged from 87% among French-born women with two French parents to 86% among French-born women with at least one parent of foreign origin, 82% among naturalized immigrants and 74% among non-naturalized immigrants. After adjusting for covariates, non-naturalized immigrants showed an 11% (95% CI: 8%-14%) lower CCS rate than French-born women with two French parents. Adjusting for BMI did not change the estimates. When stratifying by BMI category, non-naturalized immigrants showed an 11% (7%-14%) lower CCS rate then French-born with two French parents when normal weight, a 9% (2%-16%) lower CCS rate when overweight, and an 18% (5%-30%) lower CCS rate when obese.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>Migration history and BMI jointly impact CCS rates. They were lower among all non-naturalized immigrants, particularly those who were obese.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">30530110</PMID><DateCompleted><Year>2019</Year><Month>12</Month><Day>18</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>18</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1877-783X</ISSN><JournalIssue CitedMedium="Internet"><Volume>58</Volume><PubDate><Year>2019</Year><Month>02</Month></PubDate></JournalIssue><Title>Cancer epidemiology</Title><ISOAbbreviation>Cancer Epidemiol</ISOAbbreviation></Journal><ArticleTitle>Role of obesity in differences in cervical cancer screening rates by migration history. The CONSTANCES survey.</ArticleTitle><Pagination><MedlinePgn>98-103</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1877-7821(18)30273-X</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.canep.2018.11.009</ELocationID><Abstract><AbstractText Label="BACKGROUND">Immigrant women often have lower cervical cancer screening (CCS) rates, tend to have a higher body mass index (BMI) and may be more vulnerable to BMI-related stigmatization. Our aim was to assess the role of BMI in differences in CCS rates by migration history.</AbstractText><AbstractText Label="METHODS">Analyses were based on the 2012-2015 inclusion data (n = 27,226) for the population-based CONSTANCES cohort, including detailed, self-reported information on demographics and socioeconomic characteristics, migration history, health behaviours, health, and health care use. Measured BMI (underweight (<18.5), normal-weight (18.5-25), overweight (25-30), obese (>30)) was collected. Poisson regression models with robust variance were conducted to assess the contribution of BMI to differences in CCS rates by migration history, and analyses stratified by BMI were done. Multiple imputations were performed.</AbstractText><AbstractText Label="RESULTS">The CCS rates ranged from 87% among French-born women with two French parents to 86% among French-born women with at least one parent of foreign origin, 82% among naturalized immigrants and 74% among non-naturalized immigrants. After adjusting for covariates, non-naturalized immigrants showed an 11% (95% CI: 8%-14%) lower CCS rate than French-born women with two French parents. Adjusting for BMI did not change the estimates. When stratifying by BMI category, non-naturalized immigrants showed an 11% (7%-14%) lower CCS rate then French-born with two French parents when normal weight, a 9% (2%-16%) lower CCS rate when overweight, and an 18% (5%-30%) lower CCS rate when obese.</AbstractText><AbstractText Label="CONCLUSION">Migration history and BMI jointly impact CCS rates. They were lower among all non-naturalized immigrants, particularly those who were obese.</AbstractText><CopyrightInformation>Copyright © 2018 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Crampe-Casnabet</LastName><ForeName>Cyrielle</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: c.crampecasnabet@free.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Franck</LastName><ForeName>Jeanna-Eve</ForeName><Initials>JE</Initials><AffiliationInfo><Affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: jeanna-eve.franck@inserm.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ringa</LastName><ForeName>Virginie</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>CESP, INSERM U1018, Univ Paris-Saclay, Univ Paris-Sud, UVSQ, Villejuif, France. Electronic address: virginie.ringa@inserm.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Coeuret-Pellicer</LastName><ForeName>Mireille</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Inserm, Population-based Epidemiologic Cohorts Unit, UMS 011, Villejuif, France; University of Versailles St-Quentin, UMRS 1018, Villejuif, France. Electronic address: mireille.pellicer@inserm.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chauvin</LastName><ForeName>Pierre</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: pierre.chauvin@inserm.fr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Menvielle</LastName><ForeName>Gwenn</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>INSERM, Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Department of social epidemiology, F75012 Paris, France. Electronic address: gwenn.menvielle@inserm.fr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>12</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Cancer Epidemiol</MedlineTA><NlmUniqueID>101508793</NlmUniqueID><ISSNLinking>1877-7821</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015992" MajorTopicYN="Y">Body Mass Index</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003710" MajorTopicYN="N">Demography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055088" MajorTopicYN="N">Early Detection of Cancer</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D054242" MajorTopicYN="N">Emigrants and Immigrants</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015438" MajorTopicYN="N">Health Behavior</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009765" MajorTopicYN="N">Obesity</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D050177" MajorTopicYN="N">Overweight</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002583" MajorTopicYN="N">Uterine Cervical Neoplasms</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Cervical cancer screening</Keyword><Keyword MajorTopicYN="Y">France</Keyword><Keyword MajorTopicYN="Y">Migration status</Keyword><Keyword MajorTopicYN="Y">Obesity</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>06</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>11</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>11</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>12</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>12</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>12</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30530110</ArticleId><ArticleId IdType="pii">S1877-7821(18)30273-X</ArticleId><ArticleId IdType="doi">10.1016/j.canep.2018.11.009</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Île-de-France</li></region><settlement><li>Paris</li><li>Villejuif</li></settlement></list><tree><country name="France"><region name="Île-de-France"><name sortKey="Crampe Casnabet, Cyrielle" sort="Crampe Casnabet, Cyrielle" uniqKey="Crampe Casnabet C" first="Cyrielle" last="Crampe-Casnabet">Cyrielle Crampe-Casnabet</name></region><name sortKey="Chauvin, Pierre" sort="Chauvin, Pierre" uniqKey="Chauvin P" first="Pierre" last="Chauvin">Pierre Chauvin</name><name sortKey="Coeuret Pellicer, Mireille" sort="Coeuret Pellicer, Mireille" uniqKey="Coeuret Pellicer M" first="Mireille" last="Coeuret-Pellicer">Mireille Coeuret-Pellicer</name><name sortKey="Franck, Jeanna Eve" sort="Franck, Jeanna Eve" uniqKey="Franck J" first="Jeanna-Eve" last="Franck">Jeanna-Eve Franck</name><name sortKey="Menvielle, Gwenn" sort="Menvielle, Gwenn" uniqKey="Menvielle G" first="Gwenn" last="Menvielle">Gwenn Menvielle</name><name sortKey="Ringa, Virginie" sort="Ringa, Virginie" uniqKey="Ringa V" first="Virginie" last="Ringa">Virginie Ringa</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/AutomedicationFrancoV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000442 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000442 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= AutomedicationFrancoV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:30530110
|texte= Role of obesity in differences in cervical cancer screening rates by migration history. The CONSTANCES survey.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:30530110" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a AutomedicationFrancoV1
| This area was generated with Dilib version V0.6.38. |  |