Diet quality and related factors among Spanish female participants in breast cancer screening programs.

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.

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.