Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by hormonal receptor status, E3N cohort (<i>n = </i>88,387).

<p>Women with missing information on hormone receptor status were excluded from this analysis (<i>n = </i>1,415).</p>b<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>c<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p

Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by menopausal status, E3N cohort (<i>n = </i>89,802).

a<p>Adjusted for age (timescale), education, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>b<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p

Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by hormonal receptor status, E3N cohort (<i>n = </i>88,387).

<p>Women with missing information on hormone receptor status were excluded from this analysis (<i>n = </i>1,415).</p>b<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>c<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p

Temporal Asthma Patterns Using Repeated Questionnaires over 13 Years in a Large French Cohort of Women

<div><p>Variable expression is one aspect of the heterogeneity of asthma. We aimed to define a variable pattern, which is relevant in general health epidemiological cohorts. Our objectives were to assess whether: 1) asthma patterns defined using simple asthma questions through repeated measurements could reflect disease variability 2) these patterns may further be classified according to asthma severity/control. Among 70,428 French women, we used seven questionnaires (1992–2005) and a comprehensive reimbursement database (2004–2009) to define three reliable asthma patterns based on repeated positive answers to the ever asthma attack question: “never asthma” (n = 64,061); “inconsistent” (“yes” followed by “no”, n = 3,514); “consistent” (fully consistent positive answers, n = 2,853). The “Inconsistent” pattern was related to both long-term (childhood-onset asthma with remission in adulthood) and short-term (reported asthma attack in the last 12 months, associated with asthma medication) asthma variability, showing that repeated questions are relevant markers of the variable expression of asthma. Furthermore, in this pattern, the number of positive responses (1992–2005) predicted asthma drug consumption in subsequent years, a marker of disease severity. The “Inconsistent” pattern is a phenotype that may capture the variable expression of asthma. Repeated answers, even to a simple question, are too often neglected.</p></div

Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, E3N cohort (<i>n = </i>89,802).

a<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories.</p>b<p>Model 2 additionally adjusted for personal history of BBD.</p>c<p>Model 3 additionally adjusted for personal history of BBD and family history of breast cancer.</p>d<p>Model 4 additionally adjusted for BMI, height, physical activity, age at menarche, age at first full-term pregnancy, parity, breastfeeding, use of OCs, history of mammographic exam, UV dose in county of birth, and UV dose in county of residence at inclusion.</p

Hazard ratios and 95% confidence intervals for risk of breast cancer in relation to number of nevi, stratified by histological type of breast cancer, E3N cohort (<i>n</i> = 89,429).

a<p>Adjusted for age (timescale), education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), and use of premenopausal progestogens, and stratified according to year of birth in 5-y categories (Model 2).</p>b<p>Additionally adjusted for personal history of BBD and family history of breast cancer (model used for homogeneity test) (Model 4).</p

Odds ratios and 95% confidence intervals for number of nevi in relation to family history of breast cancer, E3N cohort.

a<p>Adjusted for education and age at inclusion.</p

Odds ratios and 95% confidence intervals for number of nevi in relation to history of benign breast disease, E3N cohort.

a<p>Adjusted for age at cohort inclusion, age at last returned questionnaire, education, menopausal status, age at menopause (in postmenopausal women), use of MHT (in postmenopausal women), use of premenopausal progestogens, and family history of breast cancer.</p

Additional file 1: Table S1. of Ability of ecological deprivation indices to measure social inequalities in a French cohort

Variables included in each area-based deprivation index (n=44,709 IRIS). Table S2. Associations between individual- and area-level SEP with smoking initiation and overweight among women who did not move between 1991 and 2005 (n=39,130). Figure S1. Flow-chart: selection of the study population (n=63,888). Figure S2. Distribution of the E3N population in the whole France deprivation indices quintiles. Figure S3. Associations between individual-level and three area-based deprivation indices with smoking status stratified by age. Figure S4. Comparison of the associations between three area-based deprivations indices with smoking status according to weighted and unweighted quintiles. Figure S5. Comparison of associations between three area-based deprivation indices with overweight status according to weighted and unweighted quintiles. Figure S6. Geographical distribution of the three deprivation indices at IRIS level in France. (DOCX 922 kb

Additional file 1: of Validity and reproducibility of a short food frequency questionnaire among patients with chronic kidney disease

Flow diagram. (DOCX 85 kb