Contest of Best Practices tackling social inequalities in cancer prevention: an iPAAC initiative.

Current health promotion and early cancer detection programmes yield different results depending on the social group and have a different impact among individuals. Thus, they may generate social inequalities in health. The Contest of Best Practices tackling social inequalities in cancer prevention is an initiative that emerged in the framework of the Innovative Partnership for Action Against Cancer Joint Action. This contest identifies interventions that have proven to be effective in reducing social inequalities in cancer prevention in European countries, with the aim of sharing lessons learned and inspiring solutions, as well as facilitating replication in other health systems and similar social settings.

Occupation, occupational exposures and mammographic density in Spanish women.

INTRODUCTION: Mammographic density (MD), the proportion of radiologically dense breast tissue, is a strong risk factor for breast cancer. Our objective is to investigate the influence of occupations and occupational exposure to physical, chemical, and microbiological agents on MD in Spanish premenopausal women. METHODS: This is a cross-sectional study based on 1362 premenopausal workers, aged 39-50, who attended a gynecological screening in a breast radiodiagnosis unit of Madrid City Council. The work history was compiled through a personal interview. Exposure to occupational agents was evaluated using the Spanish job-exposure matrix MatEmESp. MD percentage was assessed using the validated semi-automated computer tool DM-Scan. The association between occupation, occupational exposures, and MD was quantified using multiple linear regression models, adjusted for age, educational level, body mass index, parity, previous breast biopsies, family history of breast cancer, energy intake, use of oral contraceptives, smoking, and alcohol consumption. RESULTS: Although no occupation was statistically significantly associated with MD, a borderline significant inverse association was mainly observed in orchard, greenhouse, nursery, and garden workers (ß = -6.60; 95% confidence interval (95%CI) = -14.27; 1.07) and information and communication technology technicians (ß = -7.27; 95%CI = -15.37; 0.84). On the contrary, a positive association was found among technicians in art galleries, museums, and libraries (ß = 8.47; 95%CI = -0.65; 17.60). Women occupationally exposed to fungicides, herbicides, and insecticides tended to have lower MD. The percentage of density decreased by almost 2% for every 5 years spent in occupations exposed to the mentioned agents. CONCLUSIONS: Although our findings point to a lack of association with the occupations and exposures analyzed, this study supports a deeper exploration of the role of certain occupational agents in MD, such as pesticides.

Serum Phospholipid Fatty Acids and Mammographic Density in Premenopausal Women.

BACKGROUND: The role of fatty acids (FAs) on mammographic density (MD) is unclear, and available studies are based on self-reported dietary intake. OBJECTIVES: This study assessed the association between specific serum phospholipid fatty acids (PLFAs) and MD in premenopausal women. METHODS: The cross-sectional study DDM-Madrid recruited 1392 Spanish premenopausal women, aged 39-50 y, who attended a screening in a breast radiodiagnosis unit of Madrid City Council. Women completed lifestyle questionnaires and FFQs. Percentage MD was estimated using a validated computer tool (DM-Scan), and serum PLFA percentages were measured by GC-MS. Multivariable linear regression models were used to quantify the association of FA tertiles with MD. Models were adjusted for age, education, BMI, waist circumference, parity, oral contraceptive use, previous breast biopsies, and energy intake, and they were corrected for multiple testing. RESULTS: Women in the third tertile of SFAs showed significantly higher MD compared with those in the first tertile (ßT3vsT1 = 7.53; 95% CI: 5.44, 9.61). Elevated relative concentrations of palmitoleic (ßT3vsT1 = 3.12; 95% CI: 0.99, 5.25) and gondoic (ßT3vsT1 = 2.67; 95% CI: 0.57, 4.77) MUFAs, as well as high relative concentrations of palmitelaidic (ßT3vsT1 = 5.22; 95% CI: 3.15, 7.29) and elaidic (ßT3vsT1 = 2.69; 95% CI: 0.59, 4.79) trans FAs, were also associated with higher MD. On the contrary, women with elevated relative concentrations of n-6 (ω-6) linoleic (ßT3vsT1 = -5.49; 95% CI; -7.62, -3.35) and arachidonic (ßT3vsT1 = -4.68; 95% CI: -6.79, -2.58) PUFAs showed lower MD. Regarding desaturation indices, an elevated palmitoleic to palmitic ratio and a low ratio of oleic to steric and arachidonic to dihomo-γ-linolenic acids were associated with higher MD. CONCLUSIONS: Spanish premenopausal women with high relative concentrations of most SFAs and some MUFAs and trans FAs showed an increased MD, whereas those with high relative concentrations of some n-6 PUFAs presented lower density. These results, which should be confirmed in further studies, underscore the importance of analyzing serum FAs individually.

Occupational exposures and mammographic density in Spanish women.

OBJECTIVES: The association between occupational exposures and mammographic density (MD), a marker of breast cancer risk, has not been previously explored. Our objective was to investigate the influence of occupational exposure to chemical, physical and microbiological agents on MD in adult women. METHODS: This is a population-based cross-sectional study based on 1476 female workers aged 45-65 years from seven Spanish breast cancer screening programmes. Occupational history was surveyed by trained staff. Exposure to occupational agents was assessed using the Spanish job-exposure matrix MatEmESp. Percentage of MD was measured by two radiologists using a semiautomatic computer tool. The association was estimated using mixed log-linear regression models adjusting for age, education, body mass index, menopausal status, parity, smoking, alcohol intake, type of mammography, family history of breast cancer and hormonal therapy use, and including screening centre and professional reader as random effects terms. RESULTS: Although no association was found with most of the agents, women occupationally exposed to perchloroethylene (eß=1.51; 95% CI 1.04 to 2.19), ionising radiation (eß=1.23; 95% CI 0.99 to 1.52) and mould spores (eß=1.44; 95% CI 1.01 to 2.04) tended to have higher MD. The percentage of density increased 12% for every 5 years exposure to perchloroethylene or mould spores, 11% for every 5 years exposure to aliphatic/alicyclic hydrocarbon solvents and 3% for each 5 years exposure to ionising radiation. CONCLUSIONS: Exposure to perchloroethylene, ionising radiation, mould spores or aliphatic/alicyclic hydrocarbon solvents in occupational settings could be associated with higher MD. Further studies are needed to clarify the accuracy and the reasons for these findings.

Occupation and mammographic density: A population-based study (DDM-Occup).

INTRODUCTION: High mammographic density is one of the main risk factors for breast cancer. Although several occupations have been associated with breast cancer, there are no previous occupational studies exploring the association with mammographic density. Our objective was to identify occupations associated with high mammographic density in Spanish female workers. METHODS: We conducted a population-based cross-sectional study of occupational determinants of high mammographic density in Spain, based on 1476 women, aged 45-68 years, recruited from seven screening centers within the Spanish Breast Cancer Screening Program network. Reproductive, family, personal, and occupational history data were collected. The latest occupation of each woman was collected and coded according to the 1994 National Classification of Occupations. Mammographic density was assessed from the cranio-caudal mammogram of the left breast using a semi-automated computer-assisted tool. Association between mammographic density and occupation was evaluated by using mixed linear regression models, using log-transformed percentage of mammographic density as dependent variable. Models were adjusted for age, body mass index, menopausal status, parity, smoking, alcohol intake, educational level, type of mammography, first-degree relative with breast cancer, and hormonal replacement therapy use. Screening center and professional reader were included as random effects terms. RESULTS: Mammographic density was higher, although non-statistically significant, among secondary school teachers (eß = 1.41; 95%CI = 0.98-2.03) and nurses (eß = 1.23; 95%CI = 0.96-1.59), whereas workers engaged in the care of people (eß = 0.81; 95%CI = 0.66-1.00) and housewives (eß = 0.87; 95%CI = 0.79-0.95) showed an inverse association with mammographic density. A positive trend for every 5 years working as secondary school teachers was also detected (p-value = 0.035). CONCLUSIONS: Nurses and secondary school teachers were the occupations with the highest mammographic density in our study, showing the latter a positive trend with duration of employment. Future studies are necessary to confirm if these results are due to chance or are the result of a true association whose causal hypothesis is, for the moment, unknown.

Reproducibility of data-driven dietary patterns in two groups of adult Spanish women from different studies.

The objective of the present study was to assess the reproducibility of data-driven dietary patterns in different samples extracted from similar populations. Dietary patterns were extracted by applying principal component analyses to the dietary information collected from a sample of 3550 women recruited from seven screening centres belonging to the Spanish breast cancer (BC) screening network (Determinants of Mammographic Density in Spain (DDM-Spain) study). The resulting patterns were compared with three dietary patterns obtained from a previous Spanish case-control study on female BC (Epidemiological study of the Spanish group for breast cancer research (GEICAM: grupo Español de investigación en cáncer de mama)) using the dietary intake data of 973 healthy participants. The level of agreement between patterns was determined using both the congruence coefficient (CC) between the pattern loadings (considering patterns with a CC≥0·85 as fairly similar) and the linear correlation between patterns scores (considering as fairly similar those patterns with a statistically significant correlation). The conclusions reached with both methods were compared. This is the first study exploring the reproducibility of data-driven patterns from two studies and the first using the CC to determine pattern similarity. We were able to reproduce the EpiGEICAM Western pattern in the DDM-Spain sample (CC=0·90). However, the reproducibility of the Prudent (CC=0·76) and Mediterranean (CC=0·77) patterns was not as good. The linear correlation between pattern scores was statistically significant in all cases, highlighting its arbitrariness for determining pattern similarity. We conclude that the reproducibility of widely prevalent dietary patterns is better than the reproducibility of more population-specific patterns. More methodological studies are needed to establish an objective measurement and threshold to determine pattern similarity.

Genome wide association study identifies a novel putative mammographic density locus at 1q12-q21.

Mammographic density (MD) is an intermediate phenotype for breast cancer. Previous studies have identified genetic variants associated with MD; however, much of the genetic contribution to MD is unexplained. We conducted a two-stage genome-wide association analysis among the participants in the "Determinants of Density in Mammographies in Spain" study, together with a replication analysis in women from the Australian MD Twins and Sisters Study. Our discovery set covered a total of 3,351 Caucasian women aged 45 to 68 years, recruited from Spanish breast cancer screening centres. MD was blindly assessed by a single reader using Boyd's scale. A two-stage approach was employed, including a feature selection phase exploring 575,374 SNPs in 239 pairs of women with extreme phenotypes and a verification stage for the 183 selected SNPs in the remaining sample (2,873 women). Replication was conducted in 1,786 women aged 40 to 70 years old recruited via the Australian Twin Registry, where MD were measured using Cumulus-3.0, assessing 14 SNPs with a p value <0.10 in stage 2. Finally, two genetic variants in high linkage disequilibrium with our best hit were studied using the whole Spanish sample. Evidence of association with MD was found for variant rs11205277 (OR = 0.74; 95% CI = 0.67-0.81; p = 1.33 × 10(-10) ). In replication analysis, only a marginal association between this SNP and absolute dense area was found. There were also evidence of association between MD and SNPs in high linkage disequilibrium with rs11205277, rs11205303 in gene MTMR11 (OR = 0.73; 95% CI = 0.66-0.80; p = 2.64 × 10(-11) ) and rs67807996 in gene OTUD7B (OR = 0.72; 95% CI = 0.66-0.80; p = 2.03 × 10(-11)). Our findings provide additional evidence on common genetic variations that may contribute to MD.

Residential exposure to traffic pollution and mammographic density in premenopausal women.

BACKGROUND: Mammographic density (MD) is the most important breast cancer biomarker. Ambient pollution is a carcinogen, and its relationship with MD is unclear. This study aims to explore the association between exposure to traffic pollution and MD in premenopausal women. METHODOLOGY: This Spanish cross-sectional study involved 769 women attending gynecological examinations in Madrid. Annual Average Daily Traffic (AADT), extracted from 1944 measurement road points provided by the City Council of Madrid, was weighted by distances (d) between road points and women's addresses to develop a Weighted Traffic Exposure Index (WTEI). Three methods were employed: method-1 (1dAADT), method-2 (1dAADT), and method-3 (e1dAADT). Multiple linear regression models, considering both log-transformed percentage of MD and untransformed MD, were used to estimate MD differences by WTEI quartiles, through two strategies: "exposed (exposure buffers between 50 and 200 m) vs. not exposed (>200 m)"; and "degree of traffic exposure". RESULTS: Results showed no association between MD and traffic pollution according to buffers of exposure to the WTEI (first strategy) for the three methods. The highest reductions in MD, although not statistically significant, were detected in the quartile with the highest traffic exposure. For instance, method-3 revealed a suggestive inverse trend (eßQ1 = 1.23, eßQ2 = 0.96, eßQ3 = 0.85, eßQ4 = 0.85, p-trend = 0.099) in the case of 75 m buffer. Similar non-statistically significant trends were observed with Methods-1 and -2. When we examined the effect of traffic exposure considering all the 1944 measurement road points in every participant (second strategy), results showed no association for any of the three methods. A slightly decreased MD, although not significant, was observed only in the quartile with the highest traffic exposure: eßQ4 = 0.98 (method-1), and eßQ4 = 0.95 (methods-2 and -3). CONCLUSIONS: Our results showed no association between exposure to traffic pollution and MD in premenopausal women. Further research is needed to validate these findings.

Mammographic density in the environs of multiple industrial sources.

BACKGROUND: Mammographic density (MD), defined as the percentage of dense fibroglandular tissue in the breast, is a modifiable marker of the risk of developing breast cancer. Our objective was to evaluate the effect of residential proximity to an increasing number of industrial sources in MD. METHODS: A cross-sectional study was conducted on 1225 premenopausal women participating in the DDM-Madrid study. We calculated distances between women's houses and industries. The association between MD and proximity to an increasing number of industrial facilities and industrial clusters was explored using multiple linear regression models. RESULTS: We found a positive linear trend between MD and proximity to an increasing number of industrial sources for all industries, at distances of 1.5 km (p-trend = 0.055) and 2 km (p-trend = 0.083). Moreover, 62 specific industrial clusters were analyzed, highlighting the significant associations found between MD and proximity to the following 6 industrial clusters: cluster 10 and women living at ≤1.5 km (ß = 10.78, 95 % confidence interval (95%CI) = 1.59; 19.97) and at ≤2 km (ß = 7.96, 95%CI = 0.21; 15.70); cluster 18 and women residing at ≤3 km (ß = 8.48, 95%CI = 0.01; 16.96); cluster 19 and women living at ≤3 km (ß = 15.72, 95%CI = 1.96; 29.49); cluster 20 and women living at ≤3 km (ß = 16.95, 95%CI = 2.90; 31.00); cluster 48 and women residing at ≤3 km (ß = 15.86, 95%CI = 3.95; 27.77); and cluster 52 and women living at ≤2.5 km (ß = 11.09, 95%CI = 0.12; 22.05). These clusters include the following industrial activities: surface treatment of metals/plastic, surface treatment using organic solvents, production/processing of metals, recycling of animal waste, hazardous waste, urban waste-water treatment plants, inorganic chemical industry, cement and lime, galvanization, and food/beverage sector. CONCLUSIONS: Our results suggest that women living in the proximity to an increasing number of industrial sources and those near certain types of industrial clusters have higher MD.

Obstetric history and mammographic density: a population-based cross-sectional study in Spain (DDM-Spain).

High mammographic density (MD) is used as a phenotype risk marker for developing breast cancer. During pregnancy and lactation the breast attains full development, with a cellular-proliferation followed by a lobular-differentiation stage. This study investigates the influence of obstetric factors on MD among pre- and post-menopausal women. We enrolled 3,574 women aged 45-68 years who were participating in breast cancer screening programmes in seven screening centers. To measure MD, blind anonymous readings were taken by an experienced radiologist, using craniocaudal mammography and Boyd's semiquantitative scale. Demographic and reproductive data were directly surveyed by purpose-trained staff at the date of screening. The association between MD and obstetric variables was quantified by ordinal logistic regression, with screening centre introduced as a random effect term. We adjusted for age, number of children and body mass index, and stratified by menopausal status. Parity was inversely associated with density, the probability of having high MD decreased by 16% for each new birth (P value < 0.001). Among parous women, a positive association was detected with duration of lactation [>9 months: odds ratio (OR) = 1.33; 95% confidence interval (CI) = 1.02-1.72] and weight of first child (>3,500 g: OR = 1.32; 95% CI = 1.12-1.54). Age at first birth showed a different effect in pre- and post-menopausal women (P value for interaction = 0.030). No association was found among pre-menopausal women. However, in post-menopausal women the probability of having high MD increased in women who had their first child after the age of 30 (OR = 1.53; 95% CI = 1.17-2.00). A higher risk associated with birth of twins was also mainly observed in post-menopausal women (OR = 2.02; 95% CI = 1.18-3.46). Our study shows a greater prevalence of high MD in mothers of advanced age at first birth, those who had twins, those who have breastfed for longer periods, and mothers whose first child had an elevated birth weight. These results suggest the influence of hormones and growth factors over the proliferative activity of the mammary gland.

Adult weight gain, fat distribution and mammographic density in Spanish pre- and post-menopausal women (DDM-Spain).

High mammographic density (MD) is a phenotype risk marker for breast cancer. Body mass index (BMI) is inversely associated with MD, with the breast being a fat storage site. We investigated the influence of abdominal fat distribution and adult weight gain on MD, taking age, BMI and other confounders into account. Because visceral adiposity and BMI are associated with breast cancer only after menopause, differences in pre- and post-menopausal women were also explored. We recruited 3,584 women aged 45-68 years within the Spanish breast cancer screening network. Demographic, reproductive, family and personal history data were collected by purpose-trained staff, who measured current weight, height, waist and hip circumferences under the same protocol and with the same tools. MD was assessed in the left craniocaudal view using Boyd's Semiquantitative Scale. Association between waist-to-hip ratio, adult weight gain (difference between current weight and self-reported weight at 18 years) and MD was quantified by ordinal logistic regression, with random center-specific intercepts. Models were adjusted for age, BMI, breast size, time since menopause, parity, family history of breast cancer and hormonal replacement therapy use. Natural splines were used to describe the shape of the relationship between these two variables and MD. Waist-to-hip ratio was inversely associated with MD, and the effect was more pronounced in pre-menopausal (OR = 0.53 per 0.1 units; 95 % CI = 0.42-0.66) than in post-menopausal women (OR = 0.73; 95 % CI = 0.65-0.82) (P of heterogeneity = 0.010). In contrast, adult weight gain displayed a positive association with MD, which was similar in both groups (OR = 1.17 per 6 kg; 95 % CI = 1.11-1.23). Women who had gained more than 24 kg displayed higher MD (OR = 2.05; 95 % CI = 1.53-2.73). MD was also evaluated using Wolfe's and Tabár's classifications, with similar results being obtained. Once BMI, fat distribution and other confounders were considered, our results showed a clear dose-response gradient between the number of kg gained during adulthood and the proportion of dense tissue in the breast.

A deep learning framework to classify breast density with noisy labels regularization.

BACKGROUND AND OBJECTIVE: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data System (BI-RADS) categories. Supervised learning algorithms have been developed with this objective in mind, however, the performance of these algorithms depends on the quality of the ground-truth information which is usually labeled by expert readers. These labels are noisy approximations of the ground truth, as there is often intra- and inter-reader variability among labels. Thus, it is crucial to provide a reliable method to obtain digital mammograms matching BI-RADS categories. This paper presents RegL (Labels Regularizer), a methodology that includes different image pre-processes to allow both a correct breast segmentation and the enhancement of image quality through an intensity adjustment, thus allowing the use of deep learning to classify the mammograms into BI-RADS categories. The Confusion Matrix (CM) - CNN network used implements an architecture that models each radiologist's noisy label. The final methodology pipeline was determined after comparing the performance of image pre-processes combined with different DL architectures. METHODS: A multi-center study composed of 1395 women whose mammograms were classified into the four BI-RADS categories by three experienced radiologists is presented. A total of 892 mammograms were used as the training corpus, 224 formed the validation corpus, and 279 the test corpus. RESULTS: The combination of five networks implementing the RegL methodology achieved the best results among all the models in the test set. The ensemble model obtained an accuracy of (0.85) and a kappa index of 0.71. CONCLUSIONS: The proposed methodology has a similar performance to the experienced radiologists in the classification of digital mammograms into BI-RADS categories. This suggests that the pre-processing steps and modelling of each radiologist's label allows for a better estimation of the unknown ground truth labels.

Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach.

Breast density assessed from digital mammograms is a known biomarker related to a higher risk of developing breast cancer. Supervised learning algorithms have been implemented to determine this. However, the performance of these algorithms depends on the quality of the ground-truth information, which expert readers usually provide. These expert labels are noisy approximations to the ground truth, as there is both intra- and inter-observer variability among them. Thus, it is crucial to provide a reliable method to measure breast density from mammograms. This paper presents a fully automated method based on deep learning to estimate breast density, including breast detection, pectoral muscle exclusion, and dense tissue segmentation. We propose a novel confusion matrix (CM)-YNet model for the segmentation step. This architecture includes networks to model each radiologist's noisy label and gives the estimated ground-truth segmentation as well as two parameters that allow interaction with a threshold-based labeling tool. A multi-center study involving 1785 women whose "for presentation" mammograms were obtained from 11 different medical facilities was performed. A total of 2496 mammograms were used as the training corpus, and 844 formed the testing corpus. Additionally, we included a totally independent dataset from a different center, composed of 381 women with one image per patient. Each mammogram was labeled independently by two expert radiologists using a threshold-based tool. The implemented CM-Ynet model achieved the highest DICE score averaged over both test datasets (0.82±0.14) when compared to the closest dense-tissue segmentation assessment from both radiologists. The level of concordance between the two radiologists showed a DICE score of 0.76±0.17. An automatic breast density estimator based on deep learning exhibited higher performance when compared with two experienced radiologists. This suggests that modeling each radiologist's label allows for better estimation of the unknown ground-truth segmentation. The advantage of the proposed model is that it also provides the threshold parameters that enable user interaction with a threshold-based tool.

Residential proximity to industrial pollution and mammographic density.

BACKGROUND: Mammographic density (MD), expressed as percentage of fibroglandular breast tissue, is an important risk factor for breast cancer. Our objective is to investigate the relationship between MD and residential proximity to pollutant industries in premenopausal Spanish women. METHODS: A cross-sectional study was carried out in a sample of 1225 women extracted from the DDM-Madrid study. Multiple linear regression models were used to assess the association of MD percentage (and their 95% confidence intervals (95%CIs)) and proximity (between 1 km and 3 km) to industries included in the European Pollutant Release and Transfer Register. RESULTS: Although no association was found between MD and distance to all industries as a whole, several industrial sectors showed significant association for some distances: "surface treatment of metals and plastic" (ß = 4.98, 95%CI = (0.85; 9.12) at ≤1.5 km, and ß = 3.00, 95%CI = (0.26; 5.73) at ≤2.5 km), "organic chemical industry" (ß = 6.73, 95%CI = (0.50; 12.97) at ≤1.5 km), "pharmaceutical products" (ß = 4.14, 95%CI = (0.58; 7.70) at ≤2 km; ß = 3.55, 95%CI = (0.49; 6.60) at ≤2.5 km; and ß = 3.11, 95%CI = (0.20; 6.01) at ≤3 km), and "urban waste-water treatment plants" (ß = 8.06, 95%CI = (0.82; 15.30) at ≤1 km; ß = 5.28; 95%CI = (0.49; 10.06) at ≤1.5 km; ß = 4.30, 95%CI = (0.03; 8.57) at ≤2 km; ß = 5.26, 95%CI = (1.83; 8.68) at ≤2.5 km; and ß = 3.19, 95%CI = (0.46; 5.92) at ≤3 km). Moreover, significant increased MD was observed in women close to industries releasing specific pollutants: ammonia (ß = 4.55, 95%CI = (0.26; 8.83) at ≤1.5 km; and ß = 3.81, 95%CI = (0.49; 7.14) at ≤2 km), dichloromethane (ß = 3.86, 95%CI = (0.00; 7.71) at ≤2 km), ethylbenzene (ß = 8.96, 95%CI = (0.57; 17.35) at ≤3 km), and phenols (ß = 2.60, 95%CI = (0.21; 5.00) at ≤2.5 km). CONCLUSIONS: Our results suggest no statistically significant relationship between MD and proximity to industries as a whole, although we detected associations with various industrial sectors and some specific pollutants, which suggests that MD could have a mediating role in breast carcinogenesis.

Childhood factors associated with mammographic density in adult women.

Growth and development factors could contribute to the development of breast cancer associated with an increase in mammographic density. This study examines the influence of certain childhood-related, socio-demographic and anthropometric variables on mammographic density in adult woman. The study covered 3574 women aged 45-68 years, participating in breast cancer-screening programmes in seven Spanish cities. Based on a craniocaudal mammogram, blind, anonymous measurement of mammographic density was made by a single radiologist, using Boyd's semiquantitative scale. Data associated with the early stages of life were obtained from a direct survey. Ordinal logistic regression and generalised linear models were employed to estimate the association between mammographic density and the variables covered by the questionnaire. Screening programme was introduced as a random effects term. Age, number of children, body mass index (BMI) and other childhood-related variables were used as adjustment variables, and stratified by menopausal status. A total of 811 women (23%) presented mammographic density of over 50%, and 5% of densities exceeded 75%. Our results show a greater prevalence of high mammographic density in women with low prepubertal weight (OR: 1.18; 95% CI: 1.02-1.36); marked prepubertal height (OR: 1.25; 95% CI: 0.97-1.60) and advanced age of their mothers at their birth (>39 years: OR: 1.28; 95% CI: 1.03-1.60); and a lower prevalence of high mammographic density in women with higher prepubertal weight, low birth weight and earlier menarche. The influence of these early-life factors may be explained by greater exposure to hormones and growth factors during the development of the breast gland, when breast tissue would be particularly susceptible to proliferative and carcinogenic stimulus.

[Do women in the Valencian Community accept self-sampling as a form of cervical cancer screening?] / ¿Aceptan las mujeres de la Comunidad Valenciana la auto-toma como forma de cribado de cáncer de cérvix?

OBJECTIVE: The use of new devices such as the self-sampling for the determination of the Human Papilloma Virus (HPV), could facilitate the implementation of population screening programs and increase the participation of women. The objective of the study was to find out the women´s knowledge and attitudes towards cervical cancer screening as well as the acceptability of self-sampling. METHODS: Analytical cross-sectional study by telephone survey carried out on a random sample of 389 women from 35 to 65 years of age. The women were asked about their attitudes and knowledge of the screening and preference for HPV determination by self-sampling or by a healthcare professional. RESULTS: 86.9% of the women preferred self-sampling as a screening method and 93.3% had undergone a previous cervical cytology. 51.4% of the women had a high level of knowledge about cervical cancer screening. Younger women (POR 9.26; 95% CI 1.04-24.38), higher level of education (POR 4.6; 95% CI: 1.92-11.00), and higher level of knowledge (POR 2.78; 95% CI: 1.69-9.29), presented higher preferences for the determination of HPV by self-sampling. The trend in age, educational level and knowledge was the same for the prevalence of previous cervical cytology. CONCLUSIONS: The acceptance of self-testing as a method of cervical cancer screening is high among women. Efforts should be made to raise awareness among women to reduce possible inequalities in access and to encourage informed participation.

OBJETIVO: El uso de la auto-toma para determinación del Virus del Papiloma Humano (VPH), podría facilitar la implantación de los programas de cribado poblacional y aumentar la participación de las mujeres. El objetivo de estudio fue conocer los conocimientos y actitudes de las mujeres frente al cribado del cáncer de cérvix y la aceptación de la auto-toma como método de cribado para la detección del VPH. METODOS: Estudio transversal analítico mediante encuesta telefónica realizada a una muestra aleatoria de 389 mujeres entre 35 y 65 años de la Comunitat Valenciana. Se preguntó a las mujeres sobre prácticas preventivas previas, actitudes y conocimientos del cribado, y la preferencia por la determinación de VPH mediante auto-toma o por un profesional sanitario. RESULTADOS: El 86,9% de las mujeres encuestadas prefirieron la auto-toma como método de cribado y el 93,3% se habían realizado una citología cervical previa. El 51,4% de las mujeres tenían un nivel de conocimiento alto sobre el cribado del cáncer de cérvix. Las mujeres de menor edad (POR 9,26; IC95%1,04-24,38), mayor nivel de estudios (POR 4,6; IC95%:1,92-11,00), y mayor nivel de conocimientos (POR 2,78; IC95%:1,69-9,29), presentaron preferencias mayores por la determinación de VPH mediante auto-toma. La tendencia en la edad, nivel de estudios y conocimientos fue la misma para la prevalencia de realización de la citología cervical previa. CONCLUSIONES: La aceptación de la auto-toma como método de cribado del cáncer de cérvix es elevada entre las mujeres. Se deben dedicar esfuerzos para aumentar el conocimiento en las mujeres para reducir posibles desigualdades de acceso y fomentar una participación informada.

[Inequalities in access to cancer screening programmes in Spain and how to reduce them: data from 2013 and 2020.] / Desigualdades de acceso a los programas de cribado del cáncer en España y cómo reducirlas: datos de 2013 y 2020.

OBJECTIVE: The European Commission recommends ensuring equity in cancer screening. The aim of this study was to find out if there were inequalities in access to cancer screening programmes in Spain. METHODS: A transversal study was carried out by means of a survey addressed to the people responsible for breast, colorectal (CRC) and cervical cancer screening programmes in the 19 Autonomous Communities (AC) of Spain in 2013 and 2020. Information was collected on organizational characteristics, inequalities in access and interventions to reduce them. A descriptive analysis was made by AC and time period, by calculating frequencies and percentages, depending on the type of programme (breast, CRC and cervix). RESULTS: In 2013, 14 ACs participated for the breast programme, 8 for the CRC and 7 for the cervical programme; and in 2020, 14, 13 and 11 ACs respectively. All breast programmes were population-based in both periods (14/14 in 2013 and 14/14 in 2020), as well as CRC ones (8/8 in 2013 and 13/13 in 2020), with an increase in cervical cancer programmes (0/7 en 2013 y 6/11 en 2020). In both periods, social groups not included in the target population and groups that were less involved were identified, with differences according to the type of programme. A total of 53 interventions were carried out to reduce inequalities in access (27 in breast, 22 in RCC and 4 in cervical), 66% of them aimed at specific social groups (35/53). CONCLUSIONS: Inequalities in access to cancer screening programmes in Spain are identified, as well as interventions to reduce them.

OBJETIVO: La Comisión Europea recomienda asegurar la equidad en el cribado del cáncer. El objetivo de este estudio fue conocer si existían desigualdades en el acceso a los programas de cribado del cáncer en España. METODOS: Se realizó un estudio transversal mediante encuesta dirigida a las personas responsables de los programas de cribado del cáncer de mama, colorrectal (CCR) y cérvix de las diecinueve Comunidades Autónomas (CCAA) del Estado Español en 2013 y 2020. Se recogió información sobre características organizativas, desigualdades de acceso e intervenciones para reducirlas. Se hizo un análisis descriptivo por CCAA y periodo temporal, mediante el cálculo de frecuencias y porcentajes, en función del tipo de programa (mama, CCR y cérvix). RESULTADOS: En 2013 participaron catorce CCAA para el programa de mama, ocho para el de CCR y siete para el de cérvix, y en 2020, catorce, trece y once CCAA, respectivamente. Todos los programas de mama eran poblacionales en ambos periodos (14/14 en 2013 y 14/14 en 2020), así como los de CCR (8/8 en 2013 y 13/13 en 2020), con un aumento en el caso de los programas de cribado del cáncer de cérvix (0/7 en 2013 y 6/11 en 2020). Se identificaron en ambos periodos grupos sociales no incluidos en la población diana y grupos que, estando incluidos, participaban menos, con diferencias según el tipo de programa. Se realizaron un total de cincuenta y tres intervenciones para reducir desigualdades en el acceso (veintisiete en mama, veintidós en CCR y cuatro en cérvix), el 66% de ellas dirigidas a grupos sociales específicos (35/53). CONCLUSIONES: Se identifican desigualdades de acceso a los programas de cribado del cáncer en España, así como intervenciones para reducirlas.

[Results of 10 years of the Colorectal Cancer Prevention Program in the Valencian Community.] / Resultados de 10 años del Programa de Prevención de Cáncer Colorrectal en la Comunitat Valenciana.

OBJECTIVE: The population-based Program for the Prevention of Colorectal Cancer (PPCRC) was implemented in 2005 in the Valencian Community, following the guidelines of the European Union. To achieve the desired effectiveness in these programs, it is necessary to achieve a series of requirements, assessable through the program indicators. The objective of this study was to analyze the evolution of the program indicators from 2006 to 2016. METHODS: The accumulated indicators for the period were calculated. The Poisson regression model was used to compare the indicators by age groups and sex, by type of screening, by type of fecal occult blood test (FOBT) and by year. RESULTS: The number of people invited to participate was 1,934,266. The participation rate was 44.4%, being 87.6% in the subsequent screening and 33.7% in the initial one, with men over 60 having the lowest participation figures. Except for the positive predictive value (PPV) for low risk adenomas, which was higher in a group of men aged 50 to 59 years of successive screening, the detection rates and PPV for the different types of lesions were higher in the initial screening, with immunological test and in the group of men over 60 years old. Throughout the period, there was a decrease in the test positivity rates and in the advanced adenomas and cancers detection rates. CONCLUSIONS: The PPCCR reaches levels of quality for which the effectiveness of the program is demonstrated. However, the insufficient participation of some population groups highlights the need to carry out studies to achieve the desired objectives in all population groups and thus result in greater effectiveness of the program.

OBJETIVO: El Programa Poblacional de Preven-ción de Cáncer Colorrectal (PPCCR) se implantó en 2005 en la Comunitat Valenciana, siguiendo las directrices de la Unión Europea. Para alcanzar la efectividad deseada en estos programas es necesario conseguir una serie de requisitos, valorables mediante los indicadores del programa. El objetivo del presente estudio fue analizar la evolución de los indicadores del programa de 2006 a 2016. METODOS: Se calcularon los indicadores acumulados para el periodo. Se empleó el modelo de regresión de Poisson para comparar los indicadores por grupos de edad y sexo, por tipología de cribado, por tipo de test de sangre oculta en heces (TSOH) y por año. RESULTADOS: El número de personas invitadas a participar fue de 1.934.266. La tasa de participación fue del 44,4%, siendo del 87,6% en el cribado sucesivo y del 33,7% en el inicial, teniendo los hombres mayores de 60 años las menores cifras de participación. Excepto el valor predictivo positivo (VPP) para adenomas de bajo riesgo, que fue superior en grupo de hombres de 50 a 59 años en cribado sucesivo, las tasas de detección y VPP para los diferentes tipos de lesiones fueron mayores en el cribado inicial, con el tipo de test inmunológico y en el grupo de hombres mayores de 60 años. A lo largo del periodo se produjo un descenso en las tasas de positividad para el test y las tasas de detección de adenomas avanzados y cánceres. CONCLUSIONES: El PPCCR alcanza niveles de calidad para los que se demuestra la eficacia del programa. Sin embargo, la participación insuficiente de algunos grupos poblacionales remarca la necesidad de realizar estudios para conseguir los objetivos deseados en todos los grupos poblacionales y así redundar en una mayor eficacia del programa.

Relationship between the Risk of Gastric Cancer and Adherence to the Mediterranean Diet According to Different Estimators. MCC-Spain Study.

The aim was to assess the effect of adherence to the Mediterranean Diet, measured with five different indexes, on the risk of gastric cancer. Data come from the multicase-control study MCC-Spain, which included 354 gastric cancer cases and 3040 controls with data on diet. We used five indexes to evaluate adherence to the Mediterranean diet and assess the association between each pattern with the risk of gastric cancer, using multivariate logistic regression. The analyses were performed for the whole set of gastric cancer cases, by anatomical location (cardia and non-cardia) and by histological type (intestinal and diffuse). According to the used index, a high adherence protects one from gastric cancer (between 48% (aOR = 0.52; CI 95% = 0.28-0.94) and 75% (aOR = 0.25; CI 95% = 0.12-0.52)), from non-cardia (between 48% (aOR = 0.52; CI 95% = 0.36-0.75) and 65% (aOR = 0.35; CI 95% = 0.23-0.52)), and from the intestinal type (between 41% (aOR = 0.59; CI 95% = 0.36-0.95) and 72% (aOR = 0.28; CI 95% = 0.16-0.50)), but not from the diffuse type. In conclusion, high adherence to a Mediterranean diet pattern is a protective factor for the risk of gastric cancer, with greater adherence leading to greater protection.

[Programme of screening for colorrectal cancer in the Valencia community, Spain: results of the first round (2005-2008)]. / Programa de cribado de cáncer colorrectal de la comunidad valenciana: Resultados de la primera ronda: 2005-2008.

BACKGROUND: Several studies evaluating colorectal cancer (CRC) screening with fecal occult blood testing (FOBT) have reported a significant reduction in mortality from this tumor. The study aims to describe the results of the first round of the CRC screening program in medium-risk population of Valencia and assessing their feasibility and acceptability. METHODS: Colorectal cancer screening pilot study using biennial FOBT. All residents (106,000 Inhabitants) between 50 and 69 years old (a subgroup of 70-74 years), from 3 selected health departments (04, 07 and 13) were invited by mail to participate. The individuals with FOBT positive were referred to hospital for colonoscopy. The following rates were calculated as indicators of program quality: the participation rate, positive FOBT rate, acceptance rate of colonoscopy, and detection rate of low and high-risk adenomas and invasive cancers, and positive predictive value of FOBT. RESULTS: The participation was 35,231 individuals (35.70%). The number of FOBT positive was 579 (1.64% of total analyzed test), 548 people agreed colonoscopy (acceptance rate: 94.69%). 61 CRC were detected, 61 and 153 High-Risk and Low-Risk Adenomas (rates of 1.77, 1.77 and 4.46% per 1,000 participants). The positive predictive values for cancer, low-risk and high risk adenomas were 10.95%, 10.95%, and 27.46% respectively. CONCLUSION: The program indicators suggest that a population program of colorectal cancer is feasible in our community as the process indicators obtained are similar to those given in other programs in Spain and Europe.