Nutrition and breast cancer risk by age 50: a population-based case-control study in Germany

Diet is recognized to play a role in the occurrence of breast cancer; however, the data are inconsistent. The goal of this study was to determine the influence of dietary factors on breast cancer risk among women up to 50 yr of age in a German population. A population-based case-control study was conducted including 706 cases and 1,381 controls. In addition to a risk factor questionnaire, a subgroup of 355 cases and 838 controls completed a food frequency questionnaire. Breast cancer risk was inversely associated with vegetable consumption (P for trend = 0.034). The odds ratio for the fourth quartile of vegetable intake compared with the first quartile was 0.64 (95% confidence interval = 0.43-0.96). Breast cancer risk increased with a higher consumption of red meat (P for trend = 0.016); women with the highest consumption level had an 85% elevated breast cancer risk compared with the lowest quartile (95% confidence interval = 1.23-2.78). When only premenopausal women were considered, the protective effect of vegetable intake and the positive association with meat intake were even stronger. These results are compatible with the international recommendations for a breast cancer preventive diet and suggest that the favorable effect of a diet high in vegetables and low in red meat, especially beef, may be stronger in premenopausal women.     

The late-stage diagnosis of colorectal cancer: demographic and socioeconomic factors.

OBJECTIVES: This study described factors related to colorectal cancer stage at diagnosis. METHODS: Logistic regression analyses were used on data from the New York State Tumor Registry and US Census area-level social class indicators. RESULTS: After the effects of other predictors were controlled for, the odds of late-stage cancer increased as age decreased; women and African Americans were significantly more likely to have late stage than men and Whites; and individuals living in areas of low socioeconomic status (SES) were significantly more likely to be diagnosed at late stage than those living in higher SES areas. Stratified analyses showed that living in a low SES area was the most important determinant of stage for all age, race, gender and source-of-care groups. CONCLUSIONS: While all populations would benefit from the systematic use of screening socioeconomically disadvantaged groups may also benefit from targeted screening.     

Geographic disparities in late-stage breast cancer diagnosis in California

Using cancer registry data for the population of California women aged 67+ with breast cancers, we estimated random intercept logistic models to examine how two socio-ecological predictors (residential isolation and poverty) were associated with probability of late-stage diagnosis for breast cancer. Using the multilevel modeling results, we calculated fully adjusted predicted probabilities associated with women in each Medical Service Study Area (MSSA) in California and classified the areas into two distinct groups: MSSAs with predicted rates below the 25th percentile (presumably the better outcome areas) and MSSAs with predicted rates above the 75th percentile (presumably the worse outcome areas) for two minority groups. Some areas had better outcomes for one group but worse outcomes for the other, suggesting that interventions to improve outcomes need different strategies for different groups in the same areas. Using information from geographic risk factors and multilevel modeling, this study informs interventions designed to reduce disparities in breast cancer outcomes.     

Infertility and breast cancer: a population-based case-control study

To investigate whether a history of infertility affects a woman's risk of developing breast cancer, the authors analyzed case-control data collected between 1980 and 1982 as part of the Cancer and Steroid Hormone Study. The 4,730 cases were women aged 20-54 years with a first diagnosis of breast cancer ascertained from eight population-based cancer registries; the 4,688 controls were women randomly selected from the general population of these same eight areas. After controlling for age, age at first birth, and parity, the odds ratio (OR) for breast cancer associated with infertility was 1.01 (95% confidence interval (CI) 0.89-1.15) among gravid women. Controlling for age, the odds ratio was 0.82 (95% CI 0.59-1.14) among nulligravid women. Women who reported that the reason for their infertility was a problem with their ovaries had a risk similar to that for women without a history of infertility (OR = 0.75, 95% CI 0.48-1.24). Women whose physicians reported that the reason for their infertility was anovulation or Stein-Leventhal syndrome also had risks similar to those for women without a history of infertility (OR = 1.26 (95% CI 0.67-2.34) and OR = 1.13 (95% CI 0.46-2.78), respectively). Menopausal status, age at menarche, history of spontaneous abortions, drinking or smoking behavior, use of exogenous hormones, or family history of breast cancer did not appreciably alter the observed odds ratios. If infertility has an effect on breast cancer that is independent of age at first birth, then the effect is small.     

Geographic disparities in late-stage cancer diagnosis: Multilevel factors and spatial interactions

In 2009 in the United States, breast cancer was the most common cancer in women, and colorectal cancer was the third most common cancer in both men and women. Currently, over 40% of these cancers are diagnosed at an advanced stage, which results in higher morbidity and mortality than would obtain with optimal cancer screening utilization. To provide information that might improve these cancer outcomes we use spatial analysis to answer questions related to both Why and Where disparities in late-stage cancer diagnoses are observed. In examining Why, we include state level characteristics reflecting characteristics of states' cancer control planning, insurance markets and managed care environments to help model the spatial heterogeneity from place to place. To answer questions related to Where disparities are observed, we generate county level predictions of late-stage cancer rates from a random-intercept multilevel model estimated on the population data from 11 pooled SEER Registries. The findings allow for comparisons across states that reveal logical starting points for a national effort to control cancer.     

Risk factors for breast cancer by mode of diagnosis: some results from a breast cancer screening study.

We have investigated factors affecting the probability that a woman with breast cancer participating in a mammographic screening programme will be diagnosed by the screen. Data from a large American case-control study, with subjects drawn from women participating in an annual screening programme, were used. During the screening programme, 409 cases were identified, the mode of diagnosis being screen detection for 331 and interval detection for 78. No significant relationships were found between mode of diagnosis and age, age at menarche, oral contraceptive use, age at first live birth, age at menopause or history of maternal breast cancer. There was a non-significant trend for particular mammographic patterns to be associated with interval detection. However relative risk of breast cancer and probability of interval detection were observed to increase about the time of the menopause. These results suggest that the 3 yearly mammography programme being introduced in the UK might be improved if an extra examination was included around the time of the menopause.     

Outpatient health service utilization and associated factors: a population-based study

OBJECTIVE: To identify factors that lead people to visit a doctor in Brazil and assess differences between socioeconomic groups. METHODS: A cross-sectional study comprising 1,260 subjects aged 15 or more was carried out in southern Brazil. Demographic, socioeconomic, health needs and regular source of care data were analyzed concerning visits to a doctor within two months from the interview. Adjusted prevalence ratios and 95% confidence intervals were calculated using Poisson regression. RESULTS: Adjusted PR showed that women having stressful life events, health insurance, and a regular doctor increased the outcome. A dose-related response was found with self-reported health, and the probability of visiting a doctor increased with health needs. Analysis in the chronic disease group revealed that uneducated lower income subjects had a 62% reduction in the chance of visiting a doctor compared to uneducated higher income ones. However, as it was seen a significant interaction between income and education, years of schooling increased utilization in this group. CONCLUSIONS: Results suggest the existence of health inequity in the poorest group that could be overcome with education. Specific measures reinforcing the importance of having a regular doctor may also improve access in the underserved group.     

Familial breast and ovarian cancer: a Swedish population-based register study

A cohort of offspring of mothers with breast or ovarian cancer diagnosed in 1958-1993 was established using Swedish population-based registers. The children (n = 158,041) were born between 1941 and 1993, and their cancer incidence was followed between 1961 and 1993. A total of 3,257 tumors in 3,102 children were found. Observed numbers of cases were compared with expected numbers based on national calendar year-, age-, and sex-specific incidences. For daughters of women with breast cancer, the standardized morbidity ratios for being diagnosed with breast cancer and ovarian cancer before age 50 years were 1.99 (95% confidence interval (CI): 1.86, 2.14) and 1.28 (95% CI: 1.05, 1.54), respectively. The corresponding figures for daughters of women with ovarian cancer were 1.79 (95% CI: 1.55, 2.07) and 2.38 (95% CI: 1.77, 3.12). The risks were raised if the mother's cancer was diagnosed at a young age, the mother had multiple breast/ovarian diagnoses, or there was a sister with breast/ovarian cancer. Among all offspring, increased risks were found for thyroid cancer, testicular cancer, and malignant melanoma, while lung cancer risk was decreased if the mother had had breast cancer. The authors developed a variance estimator for the standardized morbidity ratio to cope with overdispersion due to dependency within families.     

Occupational risk factors for non-Hodgkin's lymphoma: a population-based case-control study in Northern Germany

OBJECTIVES: To identify occupational factors associated with non-Hodgkin's lymphoma (NHL). METHODS: A population-based case-control study was conducted in which incident cases of high-malignancy NHL (NHL(high)), low-malignancy NHL (NHL(low)), and chronic lymphocytic leukemia (CLL) were ascertained during the period 1986-1998 among men and women aged 15-75 years residing in six German counties; controls were drawn from population registries. Occupational histories were collected and agent-specific exposures were estimated via a job-exposure-matrix. Odds ratios were estimated by conditional logistic regression. RESULTS: A total of 858 cases were included in these analyses. Agricultural workers [odds ratio (OR) = 2.67, 95% confidence interval (CI): 0.99, 7.21) and farmers (OR = 1.98, 95% CI: 0.98, 3.98] had elevated risk of NHL(high). Risk of NHL(low) was elevated among agricultural workers (OR = 2.46, 95% CI: 1.17, 5.16), and among blacksmiths, toolmakers, and machine tool operators (OR = 3.12, 95% CI: 1.31, 7.47). Workers in sales and construction had elevated risks of NHL(high) and NHL(low). Exposure to arsenic compounds, chlorophenols, diesel fuel, herbicides, nitrites/nitrates/nitrosamines, and organic dusts were associated with NHL(high) and NHL(low), while exhibiting little association with CLL. A positive monotonic trend in NHL(low) risk across tertiles of cumulative diesel fuel exposure was observed [P-value for test of linear trend (P) = 0.03]. CONCLUSIONS: These findings provide insights into several potential occupational risk factors for NHL and suggest some specific occupational agents for further investigation.     

Dietary fat,calories, and the risk of breast cancer in postmenopausal women: a prospective population-based study.

We tested the hypothesis that a high-fat diet increases the risk of breast cancer in a population-based study of 590 women aged 40-79 years who were without known breast cancer when they provided a quantitative 24-hour diet recall. Fifteen postmenopausal women were diagnosed with incident breast cancer during the next 15 years (approximately 7600 person-years of follow-up). These women had significantly higher age-adjusted intake of all fats (monounsaturated, polyunsaturated, and saturated), and oleic, linoleic, and linolenic acids, with a stepwise increase in risk across tertiles of intake. Fat intake was associated with total calories, protein, and carbohydrates, and women with incident breast cancer consumed more calories, protein, and carbohydrates than did other subjects. When each nutrient variable (calories, fats, protein, and carbohydrates) was adjusted for age, body mass index, age at menopause, parity, and alcohol consumption, the strongest risks for incident breast cancer were associated with total calories (relative risk per standard deviation = 2.72, 95% confidence interval = 1.51-4.89, p = 0.002) and total fats (relative risk per standard deviation = 2.01, 95% confidence interval = 1.19-3.41, p = 0.01). Fat composition of the diet, expressed either as percent of energy or as fat intake adjusted for calories by regression analysis, was not significantly associated with risk of breast cancer. These results support the hypothesis that total calorie consumption, as well as dietary fat consumption, is a risk factor for breast cancer in postmenopausal women, and parallel observations in animal models.     

Risk of late-stage breast cancer after a childbirth

A pregnancy may lead to hormone-induced growth of breast tumors. The authors investigated whether women in the first years after childbirth had a higher incidence of breast cancer and, in particular, a higher incidence of late-stage tumors (i.e., a large tumor, nodal involvement, or histologic grading II + III). The study was based on a population-based cohort of 1.5 million Danish women born between 1935 and 1978. Between 1978 and 1994, 10,790 incident cases of breast cancer were identified in a nationwide cancer registry. Overall, uniparous and biparous mothers experienced a transient increased risk that did not appear to be attributable to delayed cancer diagnosis. The risk of being diagnosed with a tumor whose diameter was larger than 5 cm was, on average, 53% higher during the first 10 years after birth compared with later. The risk of tumors of less than 2 cm was not significantly associated with time since the latest birth. In conclusion, after a childbirth, mothers experience a transient increased risk of breast cancer and, in particular, a relatively high risk of late-stage disease. This finding suggests that pregnancy-related factors transiently induce a high growth rate in cells that are already malignant and stimulate new tumor growth.     

Segregation analysis of breast cancer in a population-based sample of postmenopausal probands: The Iowa women's health study

Inheritance of a major susceptibility gene for breast cancer has been primarily investigated in families with early-onset disease. However, familial clustering of late-onset breast cancer is well documented, and genetic factors may also be relevant. In the Iowa Women's Health Study, we evaluated evidence for a major gene after allowing for measured environmental risk factors. Two hundred sixty-five incident breast cancer probands were identified from a prospective cohort study of 41,837 women aged 55 to 69 years at baseline in 1986. A pedigree development form was mailed to the probands to ascertain all first-degree female relatives. A questionnaire and body measurement protocol were mailed to identified living relatives or surrogates. Segregation analyses were conducted on a total of 1,145 women in 251 families using regressive models as implemented in S.A.G.E. Mendelian codominant inheritance of an allele that produced an earlier age-at-onset provided the best fit to the data. Incorporation of measured environmental risk factors as covariates yielded no significant improvements in the likelihoods. Approximately 50% of this population could be expected to carry a late-onset breast cancer susceptibility gene, and 23% of the population is susceptible because of the environment in which they live. Homozygous gene carriers are predicted to have a mean age-at-onset of 48 years, over 20 years earlier than heterozygotes; few cases would be expected among non-gene carriers. In conclusion, the transmission pattern of late-onset breast cancer may be determined by a common susceptibility gene. ©1995 Wiley-Liss, Inc.     

Occupation and breast cancer risk in Polish women: a population-based case-control study

BACKGROUND: The etiology of breast cancer is not well understood and the role of occupational exposures in breast carcinogenesis is still uncertain. METHODS: The population-based case-control study included 2,386 incident breast cancer cases diagnosed in 2000-2003, and 2,502 controls. Lifetime occupational histories and information on other potential breast cancer risk factors were obtained through personal interviews. Conditional logistic regression analyses calculated odds ratios (ORs) associated with various occupations and industries after control for potential confounders. RESULTS: We found statistically significant excesses of breast cancer among engineers (OR=2.0; 95% CI: 1.0-3.8), economists (2.1; 1.1-3.8), sales occupations-retail (1.2; 1.0-1.5), and other sales occupations (1.2; 1.0-1.5). Industries showing significantly elevated risks included special trade contractors (2.2; 1.2-4.3), electronic and electric equipment manufacturers (1.7; 1.1-2.7); and public administration/general government n.e.c. (2.7; 1.3-5.7). Each of these findings was supported by a statistically significant positive trend for duration of employment (P<0.05). A decreased breast cancer risk was observed in janitors and cleaners (0.7; 0.5-0.8). CONCLUSIONS: In this study, we found few associations for breast cancer and occupations or industries. The suggestive findings for the electronic and electric equipment manufacturing industry and for the occupations with potential exposure to magnetic fields deserve further evaluation.     

Aggregation of lung cancer in families: results from a population-based case-control study in Germany

The authors investigated familial aggregation of lung cancer by means of a population-based case-control study, conducted in Germany between 1988 and 1993. They compared lung cancer prevalence in first degree relatives of 945 patients and 983 controls, accounting for various potential risk factors using logistic regression and generalized estimating equations. Some 83% of the study participants were male, and about 14% were below age 51 (young age group). Overall, lung cancer in parents or siblings was associated with a 1.67-fold (95% confidence interval (CI): 1.11, 2.52) increase in lung cancer risk. For the young participants, this risk was 4.75 (95% CI: 1.20, 18.77). Having multiple affected relatives (two or more) was related to a threefold risk elevation (odds ratio (OR) = 2.99, 95% CI: 0.32, 27.55). Paternal (OR = 1.64, 95% CI: 0.91, 2.96) but not maternal (OR = 0.91, 95% CI: 0.32, 2.61) lung cancer was associated with an increased risk of the disease. Lung cancer risk from smoking was particularly pronounced in the parents of cases (OR = 12.20, 95% CI: 3.34, 44.62 vs. OR = 7.93, 95% CI: 2.43, 25.91 in parents of controls). No risk elevation was detected for other smoking-related and other cancers in general. Results confirm previous findings and support the etiologic role of a genetic predisposition to lung cancer.     

Stage at diagnosis in breast cancer: race and socioeconomic factors.

Cancer incidence data from three US metropolitan areas were coupled with census tract indicators of education and income. The data suggest that both Black and White cancer patients living in census tracts with lower median education/income values are diagnosed in later disease stages than are patients in tracts with higher median education/income values. Within education and income strata, Black women had a less favorable stage of disease at diagnosis than Whites. The exception was in upper education/income levels, where the disadvantage for Blacks disappeared. These data provide additional evidence that women of low socioeconomic status could benefit from targeted screening.     

Lifestyle behaviors,obesity, and perceived health among men with and without a diagnosis of prostate cancer: A population-based,cross-sectional study

Background  

A better understanding of how prostate cancer survivors differ from men without prostate cancer and whether these potential differences vary across demographic subgroups will help to focus and prioritize future public health interventions for improving the health and well-being of prostate cancer survivors. Therefore, our study aims were to compare lifestyle behaviors, body mass index (BMI), and perceived health in men with and without a diagnosis of prostate cancer in a national, population-based sample and to explore whether these comparisons differ for demographic subgroups.     

Utilization of out- and inpatient health services by obese adults: a population-based study in the Augsburg region, Germany

The aim of this study is to compare out- and inpatient health services utilization by obese and normal weight adults. In a subsample of the KORA-Survey S4 1999/2001 in the Augsburg region, Germany (n = 947, age: 25-74 years), number of visits to general practitioners (GP) and inpatient hospital days were self-reported in three computer-aided telephone interviews (CATI) over half a year. Body mass index, based on measured body height and weight, was used to define obesity according to WHO classification. Participants, stratified in normal weight (18.5 < or = BMI < 25), preobese (25 < r = BMI < 30), obese class 1 (30 < or = BMI < 35) and obese classes 2-3 (BMI > or = 35), were compared via logistic, zero-truncated negative binomial, and multinomial models to elucidate obesity's associations with utilization at all, its frequency, and high utilization. Sex, age, social class, health insurance, and place of residence were adjusted for in all models. Respondents in obesity class 1 were more prone to report at least one visit to a GP than those normal weight (OR = 1.84, p < 0.01), while obesity classes 2-3 were associated with frequent (IRR = 1.63, p < 0.05) and high utilization (OR = 3.57, p < 0.05). Regarding days in hospital, only the extremely obese (i. e. classes 2-3) reported significantly more utilization than those normal weight (days if hospitalized at all: IRR = 3.24, p < 0.05; high utilization: OR = 5.4, p < 0.01). Sex did not play a significant role in any model. Older respondents reported more utilization in terms of GP-visits, while only tending to do so regarding inpatient utilization. Both those with statutory (vs. private) health insurance and rural (vs. urban) place of residence had higher odds to visit a GP at all. Results point to an excess utilization of out- and inpatient health services by especially extremely obese adults, and underline the need to contrast obesity classes 2-3 vs. 1 in health services utilization research.     

Socio-demographic and lifestyle factors associated with abdominal fat distribution in adults: a population-based survey in Southern Brazil

This article describes the anthropometric distribution of abdominal fat in the urban adult population in Pelotas, Rio Grande do Sul, Brazil, and the influence of independent variables on this distribution. In a cross-sectional population-based study, 3,464 adults from 20 to 69 years of age were selected in a multistage systematic sampling. They were interviewed and had their largest abdominal circumference measured. Means were compared using one-way ANOVA, while multiple linear regression models were employed to adjust for confounding. According to the study, older white married men with higher family incomes were more likely to have the highest mean abdominal circumferences (p < 0.001). Women at greatest risk for abdominal fat were older married mothers with a history of 4 or more pregnancies and less schooling (p < 0.001). Former smokers had the highest mean abdominal circumferences in both males and females, while other lifestyle factors such as alcohol consumption and physical activity showed no association with the outcome after adjusting for confounding.