Motives for dietary supplement purchase in pregnant women of the NutriNet-Santé cohort study.

1<p>DS users were defined as the subjects who used dietary supplement(s) at least 3 days a week at the time of the dietary supplement questionnaire. Data regarding circumstances of dietary supplement use were available for 94% of supplement users (i.e. 549 women out of 586).</p>2<p>Several answers possible.</p

Demographic, socioeconomic and lifestyle correlates of dietary supplement use in pregnant women of the NutriNet-Santé cohort study.

1<p>Dietary supplement users were defined as the subjects who used dietary supplement(s) at least 3 days a week at the time of the DS questionnaire.</p>2<p>P for linear trend (with adjustment for age, number of children, income, and knowledge of nutritional recommendations) or overall P (for all other variables).</p>3<p>Values are n % for all variables except for age where values are mean SD.</p>4<p>From the French National Nutrition and Health Programme.</p>5<p>Determined by multiple correspondence analysis of data from a questionnaire on organic food consumption (5 clusters defined by the first 3 discriminant axes). Because of missing values, the proportions of subjects were calculated with 483 supplement users and 266 non-users.</p

Baseline characteristics of the women (N = 4684) according to quartiles of total fiber intake, SU.VI.MAX cohort, France, 1994–2007.

<p>BMI body mass index; HTM hormonal treatment for menopause; Q Quartile.</p><p>Values are mean ±SD for all variables except for BMI≥25 kg/m², intervention group, smoking status, physical activity, educational level, family history of breast cancer, menopausal status at baseline and use of HTM at baseline for which they are N, %.</p>1<p>Chi-square tests or Fisher tests as appropriate. Data for dietary variables were log-transformed to improve normality. All statistical tests were 2-sided.</p>2<p>Among first degree relatives.</p>3<p>Including fiber from soya and soya products.</p

Multivariate conditional logistic regression for the relationship between plasma fatty acid concentrations and overall cancer risk¹.

1<p>Adjusted for gender, age, intervention group (except in the models stratified on this variable), body mass index, height, smoking status, physical activity, alcohol intake, educational level and family history of cancer.</p

Multivariate conditional logistic regression for the relationship between plasma fatty acid concentrations and breast cancer risk¹.

1<p>Adjusted for gender, age, intervention group (except in the models stratified on this variable), number of dietary records, body mass index, height, smoking status, physical activity, alcohol intake, educational level, family history of breast cancer, menopausal status, use of hormonal treatment for menopause and number of children.</p

Additional file 1: of Increasing incidence of central nervous system (CNS) tumors (2000–2012): findings from a population based registry in Gironde (France)

Table S1. Distribution and standardized incidence rates (reference populations Europe, US, world) by age, sex and histological type, Gironde CNS registry, 2000–2012. (DOCX 18 kb