Unadjusted and adjusted A) mean percent density, B) mean dense area and C) mean nondense area with 95% confidence intervals by ethnicity.

<p>Note: ^aAdjusted for age, BMI, menopausal status, parity and mean adjusted age at first full term pregnancy; ^bAdjusted for age, BMI, menopausal status and parity; ^cAdjusted for age, BMI and menopausal status.</p

Ethnic Differences in Mammographic Densities: An Asian Cross-Sectional Study

<div><p>Background</p><p>Mammographic density is a strong risk factor for breast cancer and is highly variable, but, to date, few studies have examined density in Asian women, particularly those in low and middle-income Asian countries where genetic and lifestyle determinants may be significantly different.</p><p>Methods</p><p>A total of 1,240 women who attended an opportunistic mammogram screening programme were eligible for analysis. Mammographic density was estimated using a fully-automated thresholding method and differences across ethnic groups were examined using linear regression in 205 randomly selected Chinese women, 138 Malay and 199 Indian women.</p><p>Results</p><p>Percent density was significantly higher in Chinese women (28.5%; 95% CI 27.0%, 30.0%) compared to Malay (24.2%; 95% CI 22.5%, 26.0%) and Indian (24.3%; 95% CI 22.8%, 25.7%) women (p<0.001), after adjustment for age, BMI, menopausal status, parity and age at first full term pregnancy. Correspondingly, adjusted nondense area was significantly lower in Chinese (72.2cm²; 95% CI 67.9cm², 76.5cm²) women compared to Malay (92.1cm²; 95% CI 86.9cm², 97.2cm²) and Indian (97.7cm²; 95% CI 93.4cm², 101.9cm²) women (p<0.001), but dense area did not differ across the three ethnic groups.</p><p>Conclusions</p><p>Our study shows that higher percent density and lower nondense area reflect the higher incidence of breast cancer in Chinese compared to Malay and Indian women in Malaysia. Known lifestyle determinants of mammographic density do not fully account for the ethnic variations observed in mammographic density in this Asian cohort.</p></div

Additional file 2: Figure S1. of Characterization of BRCA1 and BRCA2 variants in multi-ethnic Asian cohort from a Malaysian case-control study

Association of BRCA1 and BRCA2 variants with breast cancer risk in all breast cancer cases and healthy controls. The forest plot illustrates the association of BRCA1 and BRCA2 variants with breast cancer risk in all breast cancer cases and healthy controls. Figure S2. Association of variants with breast cancer risk in ethnicity subgroups: (a) BRCA1 and (b) BRCA2. The forest plot illustrates the association of BRCA1 and BRCA2 variants with breast cancer risk in certain ethnicity subgroups that can be analyzed. (DOCX 145 kb

Additional file 1: Table S1a. of Characterization of BRCA1 and BRCA2 variants in multi-ethnic Asian cohort from a Malaysian case-control study

BRCA1 variants included in genotyping assay design. A total of 23 BRCA1 variants were included in the genotyping assay. Of these, two variants were excluded due to genotyping call rate <95%. Table S1b. BRCA2 variants included in genotyping assay design. A total of 44 BRCA2 variants were included in the genotyping assay. Of these, two variants were excluded due to genotyping call rate <95%. Table S2. Characteristics of Malaysian breast cancer cases and healthy controls in ethnicity subgroups: (a) Chinese, (b) Malay and (c) Indian. There was no difference in age for cases and controls for Chinese and Indian women, but healthy women were on average 2 years older than the cases for Malay women. Table S3a. Frequency of BRCA1 variants detected in ethnicity subgroups. The table describes the frequency of BRCA1 variants detected in Chinese, Malay and Indian women. Table S3b. Frequency of BRCA2 variants detected in ethnicity subgroups. The table describes the frequency of BRCA2 variants detected in Chinese, Malay and Indian women. (DOCX 195 kb

Additional file 1: of Germline APOBEC3B deletion is associated with breast cancer risk in an Asian multi-ethnic cohort and with immune cell presentation

Supplementary tables and figures. (DOCX 755 kb

Pedagogical and psychological factors that influence player performance in youth football

Title: Psychological and pedagogical factors that influence player performance in youth football Objectives: The objective of the theoretical part is to analyze the psychological development of the player and the pedagogical aspects influencing the performance from the point of view of the educational activities of the coaches and parents. The selected theoretical starting points are then linked to the player's game play and its sporting development. The content of the research section is to examine the emotional reactions of the players of the preparatory and pupil categories in the clubs AC Sparta Praha and FK Dukla Praha. We analyzed the results of the emotional experience of the players and then we analyzed the differences of factors in the developmental stages of the sporting development and the results of the differences of emotional reactions of the players of both clubs. Methods: In this work we used a questioning method, namely a standardized DEMOR emotional reaction questionnaire examining emotional reactions of pupils. We have adapted it to the sport training environment and piloted. The research was conducted in seven teams of the AC Sparta Prague Football Club and seven teams of FK Dukla Prague in the U9-U15 category. Results: The results showed high values of positive emotional..

Modelled associations of square-root percent density, dense area, and total breast area with age and menopausal status, overall and by subgroups.

<p>Square-root dense/breast area is the width of a square representing the dense/breast area; square-root PD is the width of a dense-area square within a 10 cm × 10 cm square. All models are adjusted for age, BMI, BMI2, parity, age at first birth, HRT use (never, ever, past, current, not known), MD reader, image type, and mammography view. BMI, body mass index; CI, confidence interval; ICMD, International Consortium on Mammographic Density;HRT, hormone replacement therapy; MD, mammographic density.</p

Characteristics of ICMD participants by age: Menopausal status, BMI, and measures of mammographic density.

<p>Characteristics of ICMD participants by age: Menopausal status, BMI, and measures of mammographic density.</p

Difference in square-root mammographic density measures in postmenopausal compared to premenopausal women and by time since menopause: Overall and in subgroups (pooled analyses).

<p>Difference in square-root mammographic density measures in postmenopausal compared to premenopausal women and by time since menopause: Overall and in subgroups (pooled analyses).</p

Difference in square-root mammographic density measures with a 10-year difference in age, in pre- and postmenopausal women.

<p>Difference in square-root mammographic density measures with a 10-year difference in age, in pre- and postmenopausal women.</p