Nieves Ascunce

Instituto de Salud Carlos III, Madrid, Madrid, Spain

Are you Nieves Ascunce?

Claim your profile

Publications (16)49.71 Total impact

  • Article: Recalibration of the Gail model for predicting invasive breast cancer risk in Spanish women: a population-based cohort study.
    [show abstract] [hide abstract]
    ABSTRACT: The Gail model for predicting the absolute risk of invasive breast cancer has been validated extensively in US populations, but its performance in the international setting remains uncertain. We evaluated the predictive accuracy of the Gail model in 54,649 Spanish women aged 45-68 years who were free of breast cancer at the 1996-1998 baseline mammographic examination in the population-based Navarre Breast Cancer Screening Program. Incident cases of invasive breast cancer and competing deaths were ascertained until the end of 2005 (average follow-up of 7.7 years) through linkage with population-based cancer and mortality registries. The Gail model was tested for calibration and discrimination in its original form and after recalibration to the lower breast cancer incidence and risk factor prevalence in the study cohort, and compared through cross-validation with a Navarre model fully developed from this cohort. The original Gail model overpredicted significantly the 835 cases of invasive breast cancer observed in the cohort (ratio of expected to observed cases 1.46, 95 % CI 1.36-1.56). The recalibrated Gail model was well calibrated overall (expected-to-observed ratio 1.00, 95 % CI 0.94-1.07), but it tended to underestimate risk for women in low-risk quintiles and to overestimate risk in high-risk quintiles (P = 0.01). The Navarre model showed good cross-validated calibration overall (expected-to-observed ratio 0.98, 95 % CI 0.92-1.05) and in different cohort subsets. The Navarre and Gail models had modest cross-validated discrimination indexes of 0.542 (95 % CI 0.521-0.564) and 0.544 (95 % CI 0.523-0.565), respectively. Although the original Gail model cannot be applied directly to populations with different underlying rates of invasive breast cancer, it can readily be recalibrated to provide unbiased estimates of absolute risk in such populations. Nevertheless, its limited discrimination ability at the individual level highlights the need to develop extended models with additional strong risk factors.
    Breast Cancer Research and Treatment 02/2013; · 4.43 Impact Factor
  • Article: Mammographic density and risk of breast cancer according to tumor characteristics and mode of detection: a Spanish population-based case-control study.
    [show abstract] [hide abstract]
    ABSTRACT: INTRODUCTION: It is not clear whether high mammographic density (MD) is equally associated with all subtypes of breast cancer (BC). We investigated the association between MD and subsequent BC, considering invasiveness, means of detection, pathologic subtype and the time elapsed since mammographic exploration and BC diagnosis. METHODS: BC cases occurring in the population of women who attended screening from 1997 through 2004 in Navarre, a Spanish region with a fully consolidated screening program, were identified via record-linkage with the Navarre Cancer Registry (N=1,172). Information was extracted from the records of their first attendance at screening in that period. For each case, we randomly selected four controls, matched by screening round, year of birth, and place of residence. Cases were classified according to invasiveness (ductal carcinoma in situ (DCIS) versus invasive tumors), pathologic subtype (considering hormonal receptors and HER2), and type of diagnosis (screen-detected versus interval cases). MD was evaluated by a single, experienced radiologist using a semiquantitative scale. Data on BC risk factors were obtained by the screening program in the corresponding round. The association between MD and tumor subtype was assessed using conditional logistic regression. RESULTS: MD was clearly associated with subsequent BC. The odds ratio (OR) for the highest MD category (MD>75%) compared to the reference category (MD<10%) was similar for DCIS (OR=3.47; 95%CI=1.46-8.27) and invasive tumors (OR=2.95; 95%CI=2.01-4.35). The excess risk was particularly high for interval cases (OR=7.72; 95%CI=4.02-14.81) in comparison to screened detected tumors (OR=2.17; 95%CI=1.40-3.36). Sensitivity analyses excluding interval cases diagnosed in the first year after MD assessment or immediately after an early recall to screening yielded similar results. No differences were seen regarding pathologic subtypes. The excess risk associated with MD persisted for at least 7-8 years after mammographic exploration. CONCLUSIONS: Our results confirm that MD is an important risk factor for all types of breast cancer. High breast density strongly increases the risk of developing an interval tumor and this excess risk is not completely explained by a possible masking effect.
    Breast cancer research: BCR 01/2013; 15(1):R9. · 5.24 Impact Factor
  • Source
    Article: Association analysis between breast cancer genetic variants and mammographic density in a large population-based study (Determinants of Density in Mammographies in Spain) identifies susceptibility loci in TOX3 gene.
    [show abstract] [hide abstract]
    ABSTRACT: BACKGROUND: Mammographic density (MD) is regarded as an intermediate phenotype in breast cancer development. This association study investigated the influence of 14 breast cancer susceptibility loci identified through previous genome-wide association studies on MD among the participants in the "Determinants of Density in Mammographies in Spain" (DDM-Spain) study. METHODS: Our study covered a total of 3348 Caucasian women aged 45-68years, recruited from seven Spanish breast cancer screening centres having DNA available. Mammographic density was blindly assessed by a single reader using a semiquantitative scale. Ordinal logistic models, adjusted for age, body mass index and menopausal status, were used to estimate the association between each genotype and MD. RESULTS: Evidence of association with MD was found for variant rs3803662 (TOX3) (Odds Ratio (OR)=1.13, 95% Confidence Interval (CI)=1.03-1.25), and marginal evidence of association for susceptibility loci rs3817198 (LSP1) (OR=1.09, 95% CI=1.00-1.20) and rs2981582 (FGFR2) (OR=0.92, 95% CI=0.84-1.01). Two other loci were associated with MD solely among pre-menopausal women, namely, rs4973768 (SLC4A7) (OR=0.83, 95% CI=0.70-1.00) and rs4415084 (MEPS30) (OR=1.22, 95% CI=1.00-1.49). CONCLUSIONS: Our findings lend some support to the hypothesis which links these susceptibility loci to MD.
    European journal of cancer (Oxford, England: 1990) 09/2012; · 4.12 Impact Factor
  • Source
    Article: Diet quality and related factors among Spanish female participants in breast cancer screening programs.
    [show abstract] [hide abstract]
    ABSTRACT: OBJECTIVE: A healthy diet is particularly important during menopause, a period in which the risk of a number of health problems increases. This study analyzed diet quality as measured by two indices, namely, the Alternate Healthy Eating Index (AHEI) and the Alternate Mediterranean Diet (aMED) index, which measures adherence to a Mediterranean diet, and examined the factors associated with lower diet quality. METHODS: This was a cross-sectional study covering 3,564 women aged 45 to 68 years who underwent breast cancer screening at 7 centers (Corunna, Barcelona, Burgos, Palma de Mallorca, Pamplona, Valencia, and Zaragoza). Data on diet were collected using a food frequency questionnaire validated for the Spanish population. We calculated the AHEI out of a total of 80 points and the aMED out of a total of 9 points. Ordinal logistic regression models were fitted, taking diet quality (tertiles of the AHEI and the aMED) as dependent variables. The following were included in the final multivariate models as explanatory variables: sociodemographic characteristics, chronic diseases, and lifestyles that were associated with diet quality, with a P value <0.100 in an initial simple model (adjusted solely for calorie intake and screening center). Interaction between menopause status and the other explanatory variables was checked. RESULTS: The median score for AHEI was 40 of a maximum of 80 points. Lower diet quality was registered by the youngest women (P for trend < 0.001), premenopausal and perimenopausal women (odds ratio [OR], 1.25; 95% confidence interval [CI], 1.01-1.56; and OR, 1.48; CI, 1.20-1.83, respectively), obese women (OR, 1.18; CI, 0.99-1.41), those with a diagnosis of diabetes (OR, 1.35; CI, 1.01-1.79), smokers (OR, 1.41; CI, 1.21-1.66), and women reporting lower daily physical activity (OR, 1.31; CI, 1.12-1.53). Better diet quality was shown by women with higher education (OR, 0.74; CI, 0.62-0.88) and ex-smokers (OR, 0.82; CI, 0.69-0.98). Nulliparity was associated with higher AHEI scores, but only among premenopausal women (OR, 0.50; CI, 0.32-0.78). aMED index varied between 0 and 9 (median 5). Lower scores were associated with younger age (P for trend < 0.001), low socioeconomic level (OR, 1.13; CI, 0.96-1.33), lower educational level (P for trend = 0.008), and low level of daily physical activity (OR, 1.27, CI, 1.08-1.50). CONCLUSIONS: The youngest women, the most sedentary women, and those who had a lower educational level and socioeconomic status registered worse diet quality. Ex-smokers and postmenopausal women obtained better scores, probably reflecting a keener concern about leading a healthy life.
    Menopause (New York, N.Y.) 07/2012; 19(10):1121-1129. · 3.08 Impact Factor
  • Article: [Breast cancer screening: characteristics and results of the Spanish programs.]
    [show abstract] [hide abstract]
    ABSTRACT: BACKGROUND AND OBJECTIVE: To describe national and regional indicators of process and outcome of breast cancer screening programs in Spain. PATIENTS AND METHOD: Overall results and broken down by regions are studied for the period 2007-2008. Outcome indicators (participation, cancer detection rate and characteristics of tumors detected) and process indicators (and intermediate mammograms), classified by types of women screened (initial and consequent regular and irregular) and age groups, are analyzed. Results are compared with reference values established in the European Guidelines. RESULTS: Breast cancer screening coverage is 100% in the country. The overall participation was 69.68% with an adherence of 91.35%. Further assessments of any procedure were performed in 4.93% and invasive further assessments in 0.66%. Intermediate mammograms were indicated in 3.56%. The detection rate was 3.49‰ (5.35‰ age-adjusted); 14.29% of the tumors were intraductal. The 29.49% of the invasive tumors were≤1cm in diameter with 62.22% showing no axillary lymph node involvement. CONCLUSIONS: Despite the variability evident in the data provided by the different autonomous communities and the need to improve the homogeneity of information systems as a whole, the assessed indicators meet the standards specified in the European guidelines.
    Medicina Clínica 06/2012; · 1.38 Impact Factor
  • Source
    Article: Adult weight gain, fat distribution and mammographic density in Spanish pre- and post-menopausal women (DDM-Spain).
    [show abstract] [hide abstract]
    ABSTRACT: 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.
    Breast Cancer Research and Treatment 06/2012; 134(2):823-38. · 4.43 Impact Factor
  • Source
    Article: Childhood factors associated with mammographic density in adult women
    [show abstract] [hide abstract]
    ABSTRACT: 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 45–68years, 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 (>39years: 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. KeywordsMammographic density–Childhood body size–Perinatal factors–Breast density–Breast cancer–Ordinal logistic models
    Breast Cancer Research and Treatment 04/2012; 130(3):965-974. · 4.43 Impact Factor
  • Article: [Cancer screening practices and associated lifestyles in population controls of the Spanish multi-case control study].
    [show abstract] [hide abstract]
    ABSTRACT: To estimate the prevalence of screening practices in the population controls of the multi-case control study (MCC-Spain) study and to evaluate its association with lifestyles. We carried out a cross-sectional analysis of 1505 population controls of the MCC-Spain study, aged 20-85, enrolled from 2008-2010 in five areas of Spain. The prevalence of screening tests in the last 5 years was estimated and its association with lifestyles was assessed using logistic regression models. The most prevalent tests were mammography (98.2%, age 50-69 years) and cytology (94.5%, age 25-65 years) in women and prostate-specific antigen in men (71.5%, age 50 or over). Participation in fecal occult blood testing was lower (11.2% and 16.2% in women and men aged 50-74, respectively). Eating at least three pieces of fruit and vegetables per day was associated with higher participation in mammography (ORa: 5.24, 95% CI: 1.96-14.07). In men, overweight-obesity was linked to higher participation in prostate-specific antigen testing (ORa: 1.88; 95% CI: 1.15-3.08). In general, the presence of comorbidities was associated with utilization of cancer screening tests. The prevalence of screening practices was high for breast, cervical and prostate cancer and was low for colorectal cancer. No common lifestyle patterns were associated with participation, although differences were found by sex and type of screening test. These results may be useful to guide further studies on screening practices and review possible inefficiencies.
    Gaceta Sanitaria 04/2012; 26(4):301-10. · 1.33 Impact Factor
  • Source
    Article: Alcohol, tobacco, and mammographic density: a population-based study
    [show abstract] [hide abstract]
    ABSTRACT: Mammographic density (MD), or the proportion of the breast with respect to its overall area that is composed of dense tissue, is a strong risk factor for breast cancer. Studies support a positive association of mammographic density and alcohol drinking. This was a cross-sectional multicenter study based on 3584 women, aged 45–68years, recruited from seven screening centers within the Spanish breast cancer screening program network. The association between MD, alcohol consumption and tobacco use was evaluated by using ordinal logistic models with random center-specific intercepts. We found a weak positive association between current alcohol intake and higher MD, with current alcohol consumption increasing the odds of high MD by 13% (OR=1.13; 95% CI 0.99–1.28) and high daily grams of alcohol being positively associated with increased MD (P for trend=0.045). There were no statistically significant differences in MD between smokers and non-smokers. Nevertheless, increased number of daily cigarettes and increased number of accumulated lifetime cigarettes were negatively associated with high MD (P for trend 0.017 and 0.021). The effect of alcohol on MD was modified by menopausal status and tobacco smoking: whereas, alcohol consumption and daily grams of alcohol were positively associated with higher MD in postmenopausal women and in women who were not currently smoking, alcohol consumption had no effect on MD in premenopausal women and current smokers. Our results support an association between recent alcohol consumption and high MD, characterized by a modest increase in risk at low levels of current consumption and a decrease in risk among heavier drinkers. Our study also shows how the effects of alcohol in the breast can be modified by other factors, such as smoking. KeywordsMammographic density–Alcohol–Smoking–Breast cancer–Ordinal logistic models
    Breast Cancer Research and Treatment 04/2012; 129(1):135-147. · 4.43 Impact Factor
  • Article: [Current status of research in breast cancer screening in Spain: implications for prevention].
    [show abstract] [hide abstract]
    ABSTRACT: The consolidation of breast cancer screening programs, with full coverage of the target population in all Spanish regions, has encouraged the beginning of a joint research strategy. This strategy aims to improve the effectiveness of breast cancer screening by gathering information from distinct screening programs. A retrospective cohort with information on over 1.5 million screened women was constructed to evaluate risk factors for a false-positive result. The impact of the change from digital mammography to screen-film mammography was evaluated, while results for interval cancers and false negatives are currently being studied. The results are highly useful from the perspective of public health, as they can be used to identify and improve the information provided to women with a higher risk of experiencing an adverse effect. These results will also be helpful to identify screening program-related characteristics and women's personal characteristics, which will allow better prevention strategies to be developed. The results obtained will be included in mathematical models currently under development to evaluate the efficiency of breast cancer screening. These models could be highly useful to provide information and guide clinical and health policy decisions on cancer prevention and control.
    Gaceta Sanitaria 03/2012; 26(6):574-81. · 1.33 Impact Factor
  • Article: Impact of intermediate mammography assessment on the likelihood of false-positive results in breast cancer screening programmes.
    [show abstract] [hide abstract]
    ABSTRACT: Breast cancer screening is offered to 100% of the target population in Spain and intermediate mammograms (IMs) are sometimes indicated. This study was aimed at analysing the frequency of IMs, the factors determining their recommendation, and their impact on the risk of false-positive results and the detection rate. Data from 3,471,307 mammograms from Spanish breast cancer screening programmes were included. 3.36% of the mammograms were IMs. The factors associated with the use of IMs were age, initial screening, previous invasive tests, a familial history of breast cancer and use of hormone replacement therapy. In screening episodes with an IM, the probability of a false-positive result was 13.74% (95% CI: 13.43-14.05), almost double that in episodes without IMs (6.02%, 95% CI 5.99-6.05). In young women with previous invasive procedures, a familial history of breast cancer or hormone replacement therapy use who were undergoing their initial screen, this probability was lower when IMs were performed. IMs always increased the detection rate. The factors prompting IMs should be characterised so that radiologists can systematise their recommendations according to the presence of the factors maximising the benefits and minimising the adverse effects of this procedure. KEY POINTS : • Intermediate mammograms in breast screening offer potential benefits but also disadvantages. • Intermediate mammograms increase the false-positive rate except in specific groups. • Intermediate mammograms reduce the false-positive rate in younger women and initial screens. • Intermediate mammograms also reduce false-positive results in women with personal risk factors • Intermediate mammograms increase cancer detection mainly in women without risk factors.
    European Radiology 09/2011; 22(2):331-40. · 3.22 Impact Factor
  • Article: Effect of false-positive results on reattendance at breast cancer screening programmes in Spain.
    [show abstract] [hide abstract]
    ABSTRACT: Mammography is the only breast screening method, we are aware of today, which is able to reduce mortality from breast cancer. Nevertheless, this procedure carries an inherent risk of false-positive screening mammogram. The association between these results and reattendance at the next scheduled screening mammogram is controversial. The aim of this study was to examine the effect of a false-positive screening mammogram and women's characteristics on reattendance in eight regional population-based breast cancer screening programmes in Spain. This study included 1 383 032 women aged 44-67 years who were initially screened for breast cancer between 1990 and 2004. To investigate factors associated with reattendance, logistic regression models were used. The mean age of women at first screening was 53.6 years (SD = 6.1 years). Of 120 800 women with a false-positive screening mammogram, 78.3% returned for a subsequent screening mammogram compared with 81.9% of those with a negative result (P < 0.001). Multivariate analysis showed that women with a false-positive result at first screening mammogram were less likely to reattend (OR = 0.71; 95% CI 0.70-0.73) and that the likelihood was lower in those who had undergone invasive additional tests (OR = 0.56; 95% CI 0.53-0.59). A false-positive screening mammogram in the first screening negatively affected attendance at the subsequent screening. The results of this study could be useful to improve the screening process and to increase women's compliance.
    The European Journal of Public Health 05/2011; 22(3):404-8. · 2.73 Impact Factor
  • Article: Effect of start age of breast cancer screening mammography on the risk of false-positive results.
    [show abstract] [hide abstract]
    ABSTRACT: To estimate the false-positive (FP) risk according to the start age of mammography screening (45-46 or 50-51 years). Data from eight regions of the Spanish breast cancer screening programme from 1990 to 2006 were included (1,565,364 women). Discrete time-hazard models were used to ascertain the effect of age and time-related, programme-related and personal variables on FP leading to any further procedure and to invasive procedures (FPI). In a subset we estimated the differential FP risk of starting screening at 45-46 years (175,656 women) or 50-51 (251,275). A start age of 45-46 versus 50-51 years increased both FP (OR=1.20; 95%CI: 1.13-1.26) and FPI risks (OR=1.43 (95%CI: 1.18-1.73).Other factors increasing FP risk were premenopausal status (FP OR=1.26; 95%CI: 1.23-1.29 and FPI OR=1.22; 95%CI: 1.13-1.31), prior invasive procedures (FP OR=1.52; 95%CI: 1.47-1.57 and FPI (OR=2.08; 95%CI: 1.89-2.28) and family history (FP OR=1.16; 95%CI: 1.12-1.20 and FPI OR=1.26; 95%CI: 1.13-1.41). FP risk was increased by double reading (OR=1.36; 95%CI: 1.23-1.51) and FPI risk by double views (OR=1.34; 95%CI: 1.18-1.52). Both the cumulative FP and FPI risks were higher in women commencing screening at 45-46 years versus 50-51 years (33.30% versus 20.39% and 2.68% versus 1.76%). Starting screening earlier increases the cumulative risk of FP and FPI.
    Preventive Medicine 05/2011; 53(1-2):76-81. · 3.22 Impact Factor
  • Source
    Article: Evaluation of mammographic density patterns: reproducibility and concordance among scales.
    [show abstract] [hide abstract]
    ABSTRACT: Increased mammographic breast density is a moderate risk factor for breast cancer. Different scales have been proposed for classifying mammographic density. This study sought to assess intra-rater agreement for the most widely used scales (Wolfe, Tabár, BI-RADS and Boyd) and compare them in terms of classifying mammograms as high- or low-density. The study covered 3572 mammograms drawn from women included in the DDM-Spain study, carried-out in seven Spanish Autonomous Regions. Each mammogram was read by an expert radiologist and classified using the Wolfe, Tabár, BI-RADS and Boyd scales. In addition, 375 mammograms randomly selected were read a second time to estimate intra-rater agreement for each scale using the kappa statistic. Owing to the ordinal nature of the scales, weighted kappa was computed. The entire set of mammograms (3572) was used to calculate agreement among the different scales in classifying high/low-density patterns, with the kappa statistic being computed on a pair-wise basis. High density was defined as follows: percentage of dense tissue greater than 50% for the Boyd, "heterogeneously dense and extremely dense" categories for the BI-RADS, categories P2 and DY for the Wolfe, and categories IV and V for the Tabár scales. There was good agreement between the first and second reading, with weighted kappa values of 0.84 for Wolfe, 0.71 for Tabár, 0.90 for BI-RADS, and 0.92 for Boyd scale. Furthermore, there was substantial agreement among the different scales in classifying high- versus low-density patterns. Agreement was almost perfect between the quantitative scales, Boyd and BI-RADS, and good for those based on the observed pattern, i.e., Tabár and Wolfe (kappa 0.81). Agreement was lower when comparing a pattern-based (Wolfe or Tabár) versus a quantitative-based (BI-RADS or Boyd) scale. Moreover, the Wolfe and Tabár scales classified more mammograms in the high-risk group, 46.61 and 37.32% respectively, while this percentage was lower for the quantitative scales (21.89% for BI-RADS and 21.86% for Boyd). Visual scales of mammographic density show a high reproducibility when appropriate training is provided. Their ability to distinguish between high and low risk render them useful for routine use by breast cancer screening programs. Quantitative-based scales are more specific than pattern-based scales in classifying populations in the high-risk group.
    BMC Cancer 01/2010; 10:485. · 3.01 Impact Factor
  • Source
    Article: Decline in age at menarche among Spanish women born from 1925 to 1962.
    [show abstract] [hide abstract]
    ABSTRACT: While the timing of reproductive events varies across populations, a downward trend in age at menarche has nevertheless been reported in most of the developed world over the past century. Given the impact of change in age at menarche on health conditions, this study sought to examine secular trends in age at menarche among women living in Navarre (Northern Spain) who participated in a population-based breast cancer screening programme. The study was based on 110545 women born from 1925 to 1962. Trends were tested using a linear regression model, in which year of birth was entered continuously as the predictor and age at menarche (years) as the response variable, using size of town and region of birth as covariates. Among women born in Navarre between 1925 and 1962, age at menarche declined steadily from an average of 13.72 years in the 1925-1929 birth-cohorts to 12.83 years in the 1958-1962 birth-cohorts. Controlling for size of town or city of birth, age at menarche declined by an average of 0.132 years every 5 years over the period 1925-1962. This decline was greater in women born in rural versus urban settings. Trends were also different among regions of birth. We report a population-based study showing a downward trend in age of onset of menarche among Spanish women born in the period 1925-1962, something that is more pronounced among women born in rural settings and varies geographically.
    BMC Public Health 12/2009; 9:449. · 2.00 Impact Factor
  • Article: [Reflections on practices for early cancer diagnosis in Spain].
    Gaceta Sanitaria 04/2009; 23(3):244-9. · 1.33 Impact Factor

Institutions

  • 2009–2013
    • Instituto de Salud Carlos III
      • • Centro Nacional de Epidemiología (CNE)
      • • Área de Epidemiología Ambiental y Cancer
      Madrid, Madrid, Spain
  • 2012
    • Instituto Nacional de Salud Pública
      Cuernavaca, Morelos, Mexico