Adaptación y validación del cuestionario de susceptibilidad, beneficios y barreras ante el cribado con mamografía

ResumenObjetivosAdaptar una «escala de creencias» sobre el cáncer de mama al castellano, evaluando su validez y reproducibilidad.MétodosValidación de una escala de 3 dimensiones –susceptibilidad, beneficios y barreras– con respuestas tipo Likert, en un estudio de casos y controles, donde los casos eran las mujeres no participantes en un programa de cribado de cáncer de mama y los controles las participantes. Se realizó un proceso de traducción-retrotraducción y un comité técnico analizó las discrepancias. Se pilotó la comprensión en 17 mujeres. Participaron en el estudio 274 mujeres y a 32 de ellas se les repitió el cuestionario en el intervalo de un mes para valorar la reproducibilidad.ResultadosEl coeficiente de correlación intraclase fue de 0,89, 0,70 y 0,90, y el coeficiente alfa de Cronbach de 0,71, 0,48 y 0,57 para susceptibilidad, beneficios y barreras, respectivamente. Respecto a la validez de constructo, del análisis factorial exploratorio se extrajeron 3 factores, lo que explicaba un 34% de la varianza. El análisis factorial confirmatorio señala un ajuste al límite de los datos al modelo teórico. Las mujeres de más edad perciben menos susceptibilidad al cáncer de mama y declaran más barreras para hacerse una mamografía. Las de menor nivel de estudios perciben más barreras. La escala no ha mostrado su capacidad para predecir la participación en el programa.ConclusionesLa escala presenta problemas de validez y homogeneidad. Las dimensiones de beneficios y barreras necesitan un proceso de adaptación y validación profunda para su utilización.AbstractObjectivesTo adapt the «health belief model» on breast cancer screening to Spanish, and to asses its validity and reliability.MethodsWe assessed validation of a scale with 3 dimensions (susceptibility, benefits and barriers) with Likert responses in a case-control study. Cases were women not participating in a breast cancer screening program and controls consisted of participating women. A process of translation and back-translation was carried out and a technical committee analyzed discrepancies. Comprehension was tested in 17 women. Two hundred seventy-four women participated in the study. In 32 of these women, the questionnaire was administered twice after a 1-month interval to estimate its reliability.ResultsThe intraclass correlation coefficients were 0.89, 0.70 and 0.90, and Cronbach's alpha coefficient was 0.71, 0.48 and 0.57 for susceptibility, benefits and barriers, respectively. Construct validity: from the factorial analysis, 3 factors were obtained explaining 34% of the variance. The confirmatory factorial analysis indicated acceptable goodness-of-fit of the data to the theoretical model. Older women perceived less susceptibility to breast cancer as well as greater barriers to attending screening. Women with a lower educational level perceived greater barriers. The scale did not seem to predict adherence to the program.ConclusionsThe adapted scale presents problems of validity and internal consistency. The dimensions of benefits and barriers require thorough adaptation and validation before the scale is used in Spanish women

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.This study was supported by Carlos III Institute of Health FIS(Spanish Public Health Research Fund: PI060386 FIS; PS09/00790 and PI15CIII/0029 research grants), the Spanish Ministryof Health (EC11-273), the Spanish Ministry of Economyand Competitiveness (IJCI-2014-20900), the Spanish Federationof Breast Cancer Patients (FECMA: EPY 1169-10) and theAssociation of Women with Breast Cancer from Elche (AMAC-MEC: EPY 1394/15). None of the funders had any role in thedesign, analysis or writing of this article.V.L.,N.A.,B.P.-G.andM.P.designedthestudy;A.C.,J.V.,C.S.,C.P.-P.,S.A.,M.E.,D.S.-T.,C.V.andC.S.-C.collectedthedataand/or prepared the database. A. C. performed statistical analysisand wrote the initial version of the manuscript that M. P. revised andcorrected in its different versions. All the authors have read andapproved thefinal version of the manuscript.The authors declare that there are no conflicts of interest.S

Association Between Western and Mediterranean Dietary Patterns and Mammographic Density

OBJECTIVE: To examine the association between two dietary patterns (Western and Mediterranean), previously linked to breast cancer risk, and mammographic density. METHODS: This cross-sectional study included 3,584 women attending population-based breast cancer screening programs and recruited between October 7, 2007, and July 14, 2008 (participation rate 74.5%). Collected data included anthropometric measurements; demographic, obstetric, and gynecologic characteristics; family and personal health history; and diet in the preceding year. Mammographic density was blindly assessed by a single radiologist and classified into four categories: less than 10%, 10-25%, 25-50%, and greater than 50%. The association between adherence to either a Western or a Mediterranean dietary pattern and mammographic density was explored using multivariable ordinal logistic regression models with random center-specific intercepts. Models were adjusted for age, body mass index, parity, menopause, smoking, family history, hormonal treatment, and calorie and alcohol intake. Differences according to women's characteristics were tested including interaction terms. RESULTS: Women with a higher adherence to the Western dietary pattern were more likely to have high mammographic density (n=242 [27%]) than women with low adherence (n=169 [19%]) with a fully adjusted odds ratio (ORQ4vsQ1) of 1.25 (95% confidence interval [CI] 1.03-1.52). This association was confined to overweight-obese women (adjusted ORQ4vsQ1 [95% CI] 1.41 [1.13-1.76]). No association between Mediterranean dietary pattern and mammographic density was observed. CONCLUSION: The Western dietary pattern was associated with increased mammographic density among overweight-obese women. Our results might inform specific dietary recommendations for women with high mammographic density.S

Adaptación y validación del cuestionario de susceptibilidad, beneficios y barreras ante el cribado con mamografía

Objetivos: Adaptar una «escala de creencias» sobre el cáncer de mama al castellano, evaluando su validez y reproducibilidad. Métodos: Validación de una escala de 3 dimensiones -susceptibilidad, beneficios y barreras- con respuestas tipo Likert, en un estudio de casos y controles, donde los casos eran las mujeres no participantes en un programa de cribado de cáncer de mama y los controles las participantes. Se realizó un proceso de traducción-retrotraducción y un comité técnico analizó las discrepancias. Se pilotó la comprensión en 17 mujeres. Participaron en el estudio 274 mujeres y a 32 de ellas se les repitió el cuestionario en el intervalo de un mes para valorar la reproducibilidad. Resultados: El coeficiente de correlación intraclase fue de 0,89, 0,70 y 0,90, y el coeficiente alfa de Cronbach de 0,71, 0,48 y 0,57 para susceptibilidad, beneficios y barreras, respectivamente. Respecto a la validez de constructo, del análisis factorial exploratorio se extrajeron 3 factores, lo que explicaba un 34% de la varianza. El análisis factorial confirmatorio señala un ajuste al límite de los datos al modelo teórico. Las mujeres de más edad perciben menos susceptibilidad al cáncer de mama y declaran más barreras para hacerse una mamografía. Las de menor nivel de estudios perciben más barreras. La escala no ha mostrado su capacidad para predecir la participación en el programa. Conclusiones: La escala presenta problemas de validez y homogeneidad. Las dimensiones de beneficios y barreras necesitan un proceso de adaptación y validación profunda para su utilización

Sleep patterns, sleep disorders and mammographic density in spanish women: The DDM-Spain/Var-DDM study

[EN] We explored the relationship between sleep patterns and sleep disorders and mammographic density (MD), a marker of breast cancer risk. Participants in the DDM-Spain/var-DDM study, which included 2878 middle-aged Spanish women, were interviewed via telephone and asked questions on sleep characteristics. Two radiologists assessed MD in their left craneo-caudal mammogram, assisted by a validated semiautomatic-computer tool (DM-scan). We used log-transformed percentage MD as the dependent variable and fitted mixed linear regression models, including known confounding variables. Our results showed that neither sleeping patterns nor sleep disorders were associated with MD. However, women with frequent changes in their bedtime due to anxiety or depression had higher MD (e¿:1.53;95%CI:1.04¿2.26).This work was supported by grants from the Spanish Ministry of Economy and Competitiveness - Carlos III Institute of Health (ISCIII) (FI14CIII/00013, FIS PI060386 & PS09/0790), from the Spanish Federation of Breast Cancer Patients (FECMA 485 EPY 1170-10), Gent per Gent Fund (EDEMAC Project), the EPY1306/06 collaboration agreement between Astra-Zeneca and the ISCIII and partially funded by the European Regional Development Fund (FEDER)Pedraza-Flechas, AM.; Lope, V.; Moreo, P.; Ascunce, N.; Miranda-García, J.; Vidal, C.; Sánchez-Contador, C.... (2017). Sleep patterns, sleep disorders and mammographic density in spanish women: The DDM-Spain/Var-DDM study. Maturitas. 99:105-108. https://doi.org/10.1016/j.maturitas.2017.02.015S1051089

Overeating, caloric restriction and mammographic density in Spanish women. DDM-Spain study

Objectives: Mammographic density (MD) is a strong risk factor for breast cancer. The present study evaluates the association between relative caloric intake and MD in Spanish women. Study design: We conducted a cross-sectional study in which 3517 women were recruited from seven breast cancer screening centers. MD was measured by an experienced radiologist using craniocaudal mammography and Boyd's semi-quantitative scale. Information was collected through an epidemiological survey. Predicted calories were calculated using linear regression models, including the basal metabolic rate and physical activity as explanatory variables. Overeating and caloric restriction were defined taking into account the 99% confidence interval of the predicted value. Odds ratios (OR) and 95% confidence intervals (95%CI) were estimated using center-specific mixed ordinal logistic regression models, adjusted for age, menopausal status, body mass index, parity, tobacco use, family history of breast cancer, previous biopsies, age at menarche and adherence to a Western diet. Main outcome measure: Mammographic density. Results: Those women with an excessive caloric intake ( > 40% above predicted) presented higher MD (OR = 1.41, 95%CI = 0.97-2.03; p = 0.070). For every 20% increase in relative caloric consumption the probability of having higher MD increased by 5% (OR = 1.05, 95%CI = 0.98-1.14; p = 0.178), not observing differences between the categories of explanatory variables. Caloric restriction was not associated with MD in our study. Conclusions: This is the first study exploring the association between MD and the effect of caloric deficit or excessive caloric consumption according to the energy requirements of each woman. Although caloric restriction does not seem to affect breast density, a caloric intake above predicted levels seems to increase this phenotype

Calorie intake, olive oil consumption and mammographic density among Spanish women

High mammographic density (MD) is one of the main risk factors for development of breast cancer. To date, however, relatively few studies have evaluated the association between MD and diet. In this cross-sectional study, we assessed the association between MD (measured using Boyd's semiquantitative scale with five categories: 75%) and diet (measured using a food frequency questionnaire validated in a Spanish population) among 3,548 peri- and postmenopausal women drawn from seven breast cancer screening programs in Spain. Multivariate ordinal logistic regression models, adjusted for age, body mass index (BMI), energy intake and protein consumption as well as other confounders, showed an association between greater calorie intake and greater MD [odds ratio (OR) = 1.23; 95% confidence interval (CI) = 1.10-1.38, for every increase of 500 cal/day], yet high consumption of olive oil was nevertheless found to reduce the prevalence of high MD (OR = 0.86;95% CI = 0.76-0.96, for every increase of 22 g/day in olive oil consumption); and, while greater intake of whole milk was likewise associated with higher MD (OR = 1.10; 95%CI 1.00-1.20, for every increase of 200 g/day), higher consumption of protein (OR = 0.89; 95% CI 0.80-1.00, for every increase of 30 g/day) and white meat (p for trend 0.041) was found to be inversely associated with MD. Our study, the largest to date to assess the association between diet and MD, suggests that MD is associated with modifiable dietary factors, such as calorie intake and olive oil consumption. These foods could thus modulate the prevalence of high MD, and important risk marker for breast cancer.Grant sponsor: Spain’s Health Research Fund (Fondo de Investigación Sanitaria);Grant numbers:FIS PI060386 & FIS PIS09/01006; Collaboration Agreement between Astra-Zeneca and the Carlos III Institute of Health (Instituto de Salud Carlos III);Grant number: EPY 1306/06; Spanish Federation of Breast Cancer patients; Grant number: FECMA 485 EPY 1170-10S

Evaluation of mammographic density patterns: reproducibility and concordance among scales

<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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).</p> <p>Conclusions</p> <p>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.</p

Determinants of non attendance to mammography program in a region with high voluntary health insurance coverage

<p>Abstract</p> <p>Background</p> <p>High participation rates are needed to ensure that breast cancer screening programs effectively reduce mortality. We identified the determinants of non-participation in a public breast cancer screening program.</p> <p>Methods</p> <p>In this case-control study, 274 women aged 50 to 64 years included in a population-based mammography screening program were personally interviewed. Socio-demographic characteristics, health beliefs, health service utilization, insurance coverage, prior mammography and other preventive activities were examined.</p> <p>Results</p> <p>Of the 192 cases and 194 controls contacted, 101 and 173, respectively, were subsequently interviewed. Factors related to non-participation in the breast cancer screening program included higher education (odds ratio [OR] = 5.28; 95% confidence interval [CI95%] = 1.57–17.68), annual dental checks-ups (OR = 1.81; CI95%1.08–3.03), prior mammography at a private health center (OR = 7.27; CI95% 3.97–13.32), gynecologist recommendation of mammography (OR = 2.2; CI95%1.3–3.8), number of visits to a gynecologist (median visits by cases = 1.2, versus controls = 0.92, P = 0.001), and supplemental private insurance (OR = 5.62; CI95% = 3.28–9.6). Among women who had not received a prior mammogram or who had done so at a public center, perceived barriers were the main factors related to non-participation. Among women who had previously received mammograms at a private center, supplemental private health insurance also influenced non-participation. Benign breast symptoms increased the likelihood of participation.</p> <p>Conclusion</p> <p>Our data indicate that factors related to the type of insurance coverage (such as prior mammography at a private health center and supplemental private insurance) influenced non-participation in the screening program.</p