Climate drives the geography of marine consumption by changing predator communities.

The global distribution of primary production and consumption by humans (fisheries) is well-documented, but we have no map linking the central ecological process of consumption within food webs to temperature and other ecological drivers. Using standardized assays that span 105° of latitude on four continents, we show that rates of bait consumption by generalist predators in shallow marine ecosystems are tightly linked to both temperature and the composition of consumer assemblages. Unexpectedly, rates of consumption peaked at midlatitudes (25 to 35°) in both Northern and Southern Hemispheres across both seagrass and unvegetated sediment habitats. This pattern contrasts with terrestrial systems, where biotic interactions reportedly weaken away from the equator, but it parallels an emerging pattern of a subtropical peak in marine biodiversity. The higher consumption at midlatitudes was closely related to the type of consumers present, which explained rates of consumption better than consumer density, biomass, species diversity, or habitat. Indeed, the apparent effect of temperature on consumption was mostly driven by temperature-associated turnover in consumer community composition. Our findings reinforce the key influence of climate warming on altered species composition and highlight its implications for the functioning of Earth's ecosystems.

Reactions to uncertainty and the accuracy of diagnostic mammography.

BACKGROUND: Reactions to uncertainty in clinical medicine can affect decision making. OBJECTIVE: To assess the extent to which radiologists' reactions to uncertainty influence diagnostic mammography interpretation. DESIGN: Cross-sectional responses to a mailed survey assessed reactions to uncertainty using a well-validated instrument. Responses were linked to radiologists' diagnostic mammography interpretive performance obtained from three regional mammography registries. PARTICIPANTS: One hundred thirty-two radiologists from New Hampshire, Colorado, and Washington. MEASUREMENT: Mean scores and either standard errors or confidence intervals were used to assess physicians' reactions to uncertainty. Multivariable logistic regression models were fit via generalized estimating equations to assess the impact of uncertainty on diagnostic mammography interpretive performance while adjusting for potential confounders. RESULTS: When examining radiologists' interpretation of additional diagnostic mammograms (those after screening mammograms that detected abnormalities), a 5-point increase in the reactions to uncertainty score was associated with a 17% higher odds of having a positive mammogram given cancer was diagnosed during follow-up (sensitivity), a 6% lower odds of a negative mammogram given no cancer (specificity), a 4% lower odds (not significant) of a cancer diagnosis given a positive mammogram (positive predictive value [PPV]), and a 5% higher odds of having a positive mammogram (abnormal interpretation). CONCLUSION: Mammograms interpreted by radiologists who have more discomfort with uncertainty have higher likelihood of being recalled.

Mammographic breast density, dense area, and breast area differences by phase in the menstrual cycle.

BACKGROUND: Mammographic breast density may be greater in the luteal phase (days 15-30) than the follicular phase (days 1-14) of the menstrual cycle; this may have implications for when mammography screening should occur. OBJECTIVE: Examine whether percent breast density, breast area, or dense area differ by menstrual phase. METHODS: We identified 204 premenopausal women with regular periods who were <55 years (mean = 45.0 years) and had two screening mammograms within 9 to 18 months, with one screening between days 9 and 14, and one screening between days 22 and 35 of the menstrual cycle. We measured percent breast density, breast area, and dense area using the Cumulus software. We used linear regression to test for differences in breast density, breast area, and dense area from follicular to luteal phase, adjusting for change in weight and time between exams. RESULTS: The mean (SD) percent breast density was 35.8% (21.3) in the follicular phase and 36.7% (21.3) in the luteal phase. Multivariable analyses showed small but not statistically significant increases in percent density [1.1%; 95% confidence interval (95% CI), -0.2% to 2.3%] and breast area (16.7 cm(2); 95% CI, -2.8 to 36.2) and a statistically significant increase in dense area (13.1 cm(2); 95% CI, 0.1-26.1) in the luteal compared with the follicular phase. CONCLUSIONS: Breast density, breast area, and dense area have small, but probably not clinically meaningful, increases in the luteal phase of the menstrual cycle. However, there are other factors that may differ by menstrual cycle phase that we were unable to assess (e.g., breast compression), which may ultimately influence mammographic sensitivity by menstrual cycle phase.

In a randomized controlled trial, patients preferred electronic data collection of breast cancer risk-factor information in a mammography setting.

BACKGROUND AND OBJECTIVE: We evaluated patient acceptance of an electronic questionnaire to collect breast cancer risk-factor data in a mammography setting. METHODS: We developed an electronic questionnaire on a tablet computer incorporating prefilled answers and skip patterns. Using a randomized controlled study design, we tested the survey in a mammography clinic that administers a paper risk-factor questionnaire to every woman at her screening mammogram. We randomized 160 women to use the electronic survey (experimental group, n = 86) or paper survey (control group, n = 74). We evaluated patient acceptance and data completeness. RESULTS: Overall, 70.4% of the experimental group women thought the survey was very easy to use, compared to 55.6% of women in the control group. Ninety percent of experimental group women preferred using the tablet, compared to the paper questionnaire. Preference for the tablet did not differ by age; however, women > or = 60 years did not find the tablet as easy to use as did women < 60 years. The proportion of missing data was significantly lower on the tablet compared to the paper questionnaire (4.6% vs. 6.2%, P = .04). CONCLUSION: Electronic questionnaires are feasible to use in a mammography setting, can improve data quality, and are preferred by women regardless of age.

Weight loss in breast cancer patient management.

PURPOSE: To systematically review and summarize evidence relevant to obesity and breast cancer clinical outcome, potential hormonal mediating mechanisms, and the current status of weight loss interventions for chronic disease management. METHODS: A comprehensive, formal literature review was conducted to identify 5,687 citations with key information from 159 references summarized in text and tables. This process included a search for all breast cancer studies exploring associations among survival or recurrence and obesity at diagnosis or weight gain after diagnosis using prospective criteria. RESULTS: On the basis of observational studies, women with breast cancer who are overweight or gain weight after diagnosis are found to be at greater risk for breast cancer recurrence and death compared with lighter women. Obesity is also associated with hormonal profiles likely to stimulate breast cancer growth. Recently, use of weight loss algorithms proven successful in other clinical settings that incorporate dietary therapy, physical activity, and ongoing behavior therapy have been endorsed by the National Institutes of Health and other health agencies. CONCLUSION: Although definitive weight loss intervention trials in breast cancer patients remain to be conducted, the current evidence relating increased body weight to adverse breast cancer outcome and the documented favorable effects of weight loss on clinical outcome in other comorbid conditions support consideration of programs for weight loss in breast cancer patients. Recommendations for the clinical care of overweight or obese breast cancer patients are offered.

Association between mammographic breast density and breast cancer tumor characteristics.

OBJECTIVE: Few studies have examined the association between breast density and breast cancer tumor characteristics. We examined the association between hormonal, proliferative, and histologic tumor characteristics and mammographic breast density in women with breast cancer. METHODS: We conducted a cross-sectional analysis in 546 women diagnosed with invasive breast cancer to evaluate the associations between breast density and tumor size, lymph node status, lymphatic or vascular invasion, histologic grade, nuclear grade, tumor differentiation, mitotic index, tumor necrosis, Ki-67 proliferation, estrogen receptor, progesterone receptor, p53, p27, cyclin E, Bcl-2, and C-erb-B2 invasion. Breast density was classified as fatty (Breast Imaging Reporting and Data System code 1 or 2; n = 373) or dense (Breast Imaging Reporting and Data System code 3 or 4; n = 173) for the cancer-free breast. A single pathologist measured all tumor markers. We examined whether the relationships were modified by interval cancer or screen-detected cancer. RESULTS: Women with a tumor size >1.0 cm were more likely to have dense breasts compared with women with a tumor size < or =1.0 cm after adjusting for confounders (odds ratio, 2.0; 95% confidence interval, 1.2-3.4 for tumor sizes 1.1-2.0 cm; odds ratio, 2.3; 95% confidence interval, 1.3-4.4 for tumor sizes 2.1-10 cm). Tumor size, lymph node status, and lymphatic or vascular invasion were positively associated with breast density among screen-detected cancers. Histologic grade and mitotic index were negatively associated with breast density in women diagnosed with an interval cancer. CONCLUSIONS: These results suggest that breast density is related to tumor size, lymph node status, and lymphatic or vascular invasion in screen-detected cancers. Additional studies are needed to address whether these associations are due to density masking the detection of some tumors, a biological relationship, or both.

Associations among circulating sex hormones, insulin-like growth factor, lipids, and mammographic density in postmenopausal women.

OBJECTIVE: Hormone therapy use has been positively associated with mammographic density in several studies. However, few studies have examined the association between endogenous hormone levels and mammographic density. Therefore, we evaluated the relationship of endogenous sex hormones, insulin-like growth factor (IGF), and lipids with mammographic density in 88 overweight, postmenopausal women not taking hormone therapy. METHODS: Percent density and dense area were evaluated as continuous measures using a computer-assisted program. We used multiple linear regression to evaluate the associations of sex hormones, IGF, and cholesterol with mammographic density, adjusting for confounders, including adiposity. We evaluated stratification by history of hormone therapy use (former versus never) and hormone therapy latency (<5 versus > or = 5 years). RESULTS: Among former hormone therapy users, mammographic density was inversely associated with circulating levels of estrone (P = 0.01), estradiol (P = 0.003), free estradiol (P = 0.004), testosterone (P = 0.04), free testosterone (P = 0.02), androstenedione (P < 0.001), dehydroepiandrosterone (P = 0.01), and the ratio of IGF-I to its binding protein (IGF-I/IGFBP-3; P = 0.04). We found similar associations when we limited the analyses to women who had used hormone therapy within the past 5 years. We also noted positive associations of mammographic density with total cholesterol (P = 0.03) and low-density lipoprotein (P = 0.03) among former hormone therapy users. No associations were noted among women who had never used hormone therapy. CONCLUSIONS: These results suggest that there is an inverse relationship between endogenous sex hormones and mammographic density in postmenopausal women among former users of hormone therapy. This is not consistent with the hormone therapy literature and should be confirmed in larger studies.

UDP-glucuronosyltransferase and sulfotransferase polymorphisms, sex hormone concentrations, and tumor receptor status in breast cancer patients.

INTRODUCTION: UDP-glucuronosyltransferase (UGT) and sulfotransferase (SULT) enzymes are involved in removing sex hormones from circulation. Polymorphic variation in five UGT and SULT genes - UGT1A1 ((TA)6/(TA)7), UGT2B4 (Asp458Glu), UGT2B7 (His268Tyr), UGT2B15 (Asp85Tyr), and SULT1A1 (Arg213His)--may be associated with circulating sex hormone concentrations, or the risk of an estrogen receptor-negative (ER-) or progesterone receptor-negative (PR-) tumor. METHODS: Logistic regression analysis was used to estimate the odds ratios of an ER- or PR- tumor associated with polymorphisms in the genes listed above for 163 breast cancer patients from a population-based cohort study of women in western Washington. Adjusted geometric mean estradiol, estrone, and testosterone concentrations were calculated within each UGT and SULT genotype for a subpopulation of postmenopausal breast cancer patients not on hormone therapy 2-3 years after diagnosis (n = 89). RESULTS: The variant allele of UGT1A1 was associated with reduced risk of an ER- tumor (P for trend = 0.03), and variants of UGT2B15 and SULT1A1 were associated with non-statistically significant risk reductions. There was some indication that plasma estradiol and testosterone concentrations varied by UGT2B15 and SULT1A1 genotypes; women with the UGT2B15 Asp/Tyr and Tyr/Tyr genotypes had higher concentrations of estradiol than women with the Asp/Asp genotype (P = 0.004). Compared with women with the SULT1A1 Arg/Arg and Arg/His genotypes, women with the His/His genotype had elevated concentrations of testosterone (P = 0.003). CONCLUSIONS: The risk of ER- breast cancer tumors may vary by UGT or SULT genotype. Further, plasma estradiol and testosterone concentrations in breast cancer patients may differ depending on some UGT and SULT genotypes.

Mammographic density in relation to daidzein-metabolizing phenotypes in overweight, postmenopausal women.

Circulating hormones are associated with mammographic density, an intermediate marker of breast cancer risk. Differences in circulating hormones, including estrone and testosterone, have been observed in premenopausal women based on their capacity to metabolize daidzein, an isoflavone found predominantly in soybeans. Equol and O-desmethylangolensin (O-DMA) are products of intestinal bacterial metabolism of daidzein. There is interindividual variability in the capacity to produce daidzein metabolites; individuals can be equol producers or non-producers and O-DMA producers or non-producers. We tested the hypothesis that daidzein-metabolizing phenotypes are associated with mammographic density. Participants were recruited from among 92 sedentary, postmenopausal women, ages 50 to 75 years, who participated in a 1-year physical activity intervention. Pre-intervention mammographic density was determined using a computer-assisted, gray-scale thresholding technique. Fifty-five of these women consumed supplemental soy protein (>10 mg daidzein/d) for 3 days and collected a first-void urine sample on the fourth day to determine daidzein-metabolizing phenotypes. Equol and O-DMA concentrations were measured using gas chromatography-mass spectrometry. Associations between daidzein-metabolizing phenotypes and percent mammographic density were adjusted for age, maximum adult weight, gravidity, family history of breast cancer, and serum follicle-stimulating hormone and free testosterone concentrations. Mammographic density was 39% lower in equol producers compared with non-producers (P = 0.04). O-DMA producers had mammographic density 69% greater than non-producers (P = 0.05). These results suggest that particular intestinal bacterial profiles are associated with postmenopausal mammographic density, and these associations are not entirely explained by differences in reproductive or anthropometric characteristics or circulating hormones.

Association of CYP17, CYP19, CYP1B1, and COMT polymorphisms with serum and urinary sex hormone concentrations in postmenopausal women.

Women with high circulating estrogen concentrations have an increased risk of breast cancer; thus, it is important to understand factors, including genetic variability, that influence estrogen concentrations. Several genetic polymorphisms that may influence sex hormone concentrations have been identified, including CYP17 (5'-untranslated region T-->C), CYP19 [intron 4 (TTTA)(n = 7-13) and a 3-bp deletion (-3)], CYP1B1 (Val(432)Leu), and COMT (Val(108/158)Met). We examined associations between these polymorphisms and serum concentrations of estrogens, androgens, and sex hormone-binding globulin and urinary concentrations of 2- and 16alpha-hydroxyestrone in 171 postmenopausal women, using data from the prerandomization visit of an exercise clinical trial. Participants were sedentary, not taking hormone therapy, and had a body mass index >24.0. Compared with noncarriers, women carrying two CYP19 7r(-3) alleles had 26% lower estrone (P < 0.001), 19% lower estradiol (P = 0.01), 23% lower free estradiol (P = 0.01), and 22% higher sex hormone-binding globulin concentrations (P = 0.06). Compared with noncarriers, women carrying at least one CYP19 8r allele had 20% higher estrone (P = 0.003), 18% higher estradiol (P = 0.02), and 21% higher free estradiol concentrations (P = 0.01). Women with the COMT Met/Met genotype had 28% higher 2-hydroxyestrone (P = 0.08) and 31% higher 16alpha-hydroxyestrone concentrations (P = 0.02), compared with Val/Val women. Few associations were found for CYP17 and CYP1B1 or with serum androgen concentrations. This study provides further evidence that genetic variation may appreciably alter sex hormone concentrations in postmenopausal women not taking hormone therapy.

Effects of a yearlong moderate-intensity exercise and a stretching intervention on sleep quality in postmenopausal women.

STUDY OBJECTIVES: To examine the effects of a moderate-intensity exercise or stretching intervention and changes in fitness, body mass index, or time spent outdoors on self-reported sleep quality and to examine the relationship between the amount and timing of exercise and sleep quality. DESIGN: A randomized intervention trial. SETTING: A cancer research center in Seattle, Washington. PARTICIPANTS: Postmenopausal, overweight or obese, sedentary women not taking hormone replacement therapy, aged 50 to 75 years, and recruited from the Seattle metropolitan area. INTERVENTIONS: A yearlong moderate-intensity exercise (n=87) and a low-intensity stretching (n=86) program. MEASUREMENTS AND RESULTS: Among morning exercisers, those who exercised at least 225 minutes per week had less trouble falling asleep (odds ratio [OR]: 0.3, P < or = .05) compared with those who exercised less than 180 minutes per week. However, among evening exercisers, those who exercised at least 225 minutes per week had more trouble falling asleep (OR: 3.3, P < or = .05) compared to those who exercised less than 180 minutes per week. Stretchers were less likely to use sleep medication (OR = 0.4, P < or = .05) and have trouble falling asleep (OR: 0.7, P < or = .10) during the intervention period compared with baseline. A greater than 10% versus a 1% or less increase in maximum O2 consumption over the year was associated with longer sleep duration (P < or = .05), less frequently falling asleep during quiet activities (P < or = .05), and less use of sleep medication (P < or = .05). Reductions in body mass index and increases in time spent outdoors had inconsistent effects on sleep quality. CONCLUSIONS: Both stretching and exercise interventions may improve sleep quality in sedentary, overweight, postmenopausal women. Increased fitness was associated with improvements in sleep. However, the effect of moderate-intensity exercise may depend on the amount of exercise and time of day it is performed.

Effect of a yearlong, moderate-intensity exercise intervention on the occurrence and severity of menopause symptoms in postmenopausal women.

OBJECTIVE: To evaluate the effect of moderate-intensity exercise on the occurrence and severity of menopause symptoms. DESIGN: A yearlong, randomized, clinical trial, conducted in Seattle, WA, with 173 overweight, postmenopausal women not taking hormone therapy in the previous 6 months. The intervention was a moderate-intensity exercise intervention (n = 87) versus stretching control group (n = 86). Using logistic regression, odds ratios comparing exercise with controls were calculated at 3, 6, 9, and 12 months for menopause symptoms and their severity. RESULTS: There was a significant increase in hot flash severity and decreased risk of memory problems in exercisers versus controls over 12 months, although the numbers affected were small. No other significant changes in symptoms were observed. CONCLUSIONS: Exercise does not seem to decrease the risk of having menopause symptoms in overweight, postmenopausal women not taking hormone therapy and may increase the severity of some symptoms in a small number of women.

Diffusion of aromatase inhibitors for breast cancer therapy between 1996 and 2003 in the Cancer Research Network.

PURPOSE: Clinical trials demonstrated adjuvant aromatase inhibitor treatment is superior for decreasing breast cancer recurrence risk over adjuvant tamoxifen treatment as early as 2001. Yet clinical use for adjuvant treatment was not recommended by the American Society of Clinical Oncology until 2004. Aromatase inhibitor uptake after the first public presentation of randomized trial results but before the release of national guidelines is unclear. We evaluated diffusion of aromatase inhibitor dispensings for breast cancer treatment in integrated healthcare delivery systems across the United States. METHODS: We collected automated data for 13,245 women enrolled at seven integrated healthcare delivery systems in the Cancer Research Network. All women were aged >55 and diagnosed with estrogen receptor positive, invasive breast cancer between 1996 and 2003. We used electronic pharmacy data to identify aromatase inhibitor and tamoxifen dispensings through 2004. We evaluated the proportions of women who received hormone dispensings in two ways: (1) at any point after diagnosis to capture all use, and (2) in the two-year period following diagnosis to approximate adjuvant use. RESULTS: Over time, adjuvant aromatase inhibitor use increased whereas tamoxifen use decreased. Aromatase inhibitor dispensings within 2 years of diagnosis increased from 4.1% among women diagnosed in 2000 to 13% in 2001, 24% in 2002, and 40% in 2003. Tamoxifen use declined starting in 2001 at every system. CONCLUSION: Aromatase inhibitor use rose dramatically after 2001 while tamoxifen use decreased. It appears results from early clinical trials changed practice in these integrated healthcare systems before formal changes in national guidelines.

Physical activity, body mass index, and mammographic density in postmenopausal breast cancer survivors.

PURPOSE: To investigate the association between physical activity, body mass index (BMI), and mammographic density in a racially/ethnically diverse population-based sample of 522 postmenopausal women diagnosed with stage 0-IIIA breast cancer and enrolled in the Health, Eating, Activity, and Lifestyle Study. METHODS: We collected information on BMI and physical activity during a clinic visit 2 to 3 years after diagnosis. Weight and height were measured in a standard manner. Using an interview-administered questionnaire, participants recalled the type, duration, and frequency of physical activities they had performed in the last year. We estimated dense area and percentage density as a continuous measure using a computer-assisted software program from mammograms imaged approximately 1 to 2 years after diagnosis. Analysis of covariance methods were used to obtain mean density across WHO BMI categories and physical activity tertiles adjusted for confounders. RESULTS: We observed a statistically significant decline in percentage density (P for trend = .0001), and mammographic dense area (P for trend = .0052), with increasing level of BMI adjusted for potential covariates. We observed a statistically significant decline in mammographic dense area (P for trend = .036) with increasing level of sports/recreational physical activity in women with a BMI of at least 30 kg/m2. Conversely, in women with a BMI less than 25 kg/m2, we observed a non-statistically significant increase in mammographic dense area and percentage density with increasing level of sports/recreational physical activity. CONCLUSION: Increasing physical activity among obese postmenopausal breast cancer survivors may be a reasonable intervention approach to reduce mammographic density.

Associations between the CYP17, CYPIB1, COMT and SHBG polymorphisms and serum sex hormones in post-menopausal breast cancer survivors.

Several polymorphisms have been identified in genes that code for enzymes involved with estrogen biosynthesis and metabolism. Little is known about the functional relevance of these polymorphisms on sex hormones in vivo. We examined the association between CYP17, CYP1B1, COMT or SHBG genotypes and serum concentrations of estrone, estradiol, free estradiol, sex hormone-binding globulin (SHBG), testosterone, free testosterone and dehyroepiandrosterone in 366 post-menopausal breast cancer survivors in New Mexico, California and Washington. Hormone levels were determined by high performance liquid chromatography and radioimmunoassay in blood drawn approximately 2 years post-diagnosis. We used generalized linear regression to calculate mean hormone levels by genotype, adjusting for age, race/ethnicity, stage, study site, tamoxifen use, number of remaining ovaries, hormone therapy use, marital status and BMI. No associations were observed between any of the genotypes and sex hormones when analyzing the main effects. In subgroup analyses, androgen levels of Hispanic women with the variant (A2) CYP17 genotype were 46-87% higher than those of women with the wild-type; androgen levels were 13-20% lower in non-Hispanic whites with the variant genotype; no difference by genotype was observed for African-American women. Current tamoxifen users with the variant asn(327) SHBG genotype had 81% higher serum SHBG and 39% lower free testosterone concentrations than women with the wild-type genotype. Non-tamoxifen users with the variant SHBG allele had elevated free estradiol levels. These results provide little evidence that the CYP17, CYP1B1, and COMT polymorphisms are associated with different sex hormone levels in post-menopausal breast cancer survivors.

Do breast cancer risk factors modify the association between hormone therapy and mammographic breast density? (United States).

OBJECTIVE: To evaluate whether the association between hormone therapy (HT) and breast density differs by levels of breast cancer risk factors. METHODS: We evaluated 80,867 screening mammograms from 39,296 postmenopausal women from Washington State. We estimated odds ratios and 95% confidence intervals for dense breasts (Breast Imaging Reporting and Data System categories 3 "heterogeneously dense" and 4 "extremely dense") compared to fatty breasts (categories 1 "almost entirely fat" and 2 "scattered fibroglandular") among HT users compared to never users. We separately examined former HT use and current HT use by type (estrogen plus progestin therapy (EPT) and estrogen-only therapy (ET)). We stratified the associations by age, BMI, race, family history, and reproductive and menopausal factors. RESULTS: Current EPT users had a 98% (1.87-2.09) greater odds of having dense breasts and current ET users had a 71% (1.56-1.87) greater odds compared to never users. Current HT users were more likely to have dense breasts if they were older, had more children, or younger at first birth compared to never users; these associations were stronger among EPT users than ET users. CONCLUSIONS: HT, particularly EPT, may reduce protective effects of older age, parity, and younger age at first birth on mammographic density.

Varying levels of family history of breast cancer in relation to mammographic breast density (United States).

OBJECTIVE: We examined the relationship between breast cancer family history and mammographic breast density. METHODS: Participants included 35,019 postmenopausal women aged >or=40 years enrolled in a population-based mammography screening program. We collected data on the number and type of 1st and 2nd degree female relatives with a history of breast cancer and their ages at diagnosis. We used the Breast Imaging Reporting and Data System breast density categories to identify women with fatty (1 = almost entirely fatty or 2 = scattered fibroglandular tissue) and dense (3 = heterogeneously dense or 4 = extremely dense) breasts. We used logistic regression to calculate odds ratios (OR) and 95% confidence intervals for dense (N = 18,111) compared to fatty breasts (N = 16,908). RESULTS: The odds of having dense breasts were 17% greater for women with affected 1st degree relatives than women with no family history. The odds increased with more affected 1st degree relatives [>or=3 vs. none (OR = 1.46; 1.05-2.01)] and among women with >or=1 affected 1st degree relative diagnosed <50 years (OR = 1.22; 1.10-1.34). CONCLUSIONS: Having a family history of breast cancer was more strongly associated with mammographic breast density when the affected relatives were more genetically similar. There may be common, yet undiscovered, genetic elements that affect breast cancer and mammographic breast density.

Pre-diagnosis physical activity and mammographic density in breast cancer survivors.

PURPOSE: To investigate the association between physical activity (PA) and mammographic density in the year before diagnosis in a population-based sample of 474 women diagnosed with stage 0-IIIA breast cancer and enrolled in the Health, Eating, Activity, and Lifestyle Study. METHODS: We collected information on PA during an interview administered at a baseline visit scheduled within the first year after diagnosis. Participants recalled the type, duration, and frequency of different PAs for the year prior to their diagnosis. Dense area and percent density were estimated, from mammograms imaged approximately 1 year before diagnosis, as a continuous measure using a computer-assisted software program. Analysis of covariance methods were used to obtain mean density across PA tertiles adjusted for confounders. We stratified analyses by menopausal status and body mass index (BMI) because these factors strongly influence density. RESULTS: We observed a statistically significant decline in mammographic dense area (p for trend = 0.046) and percent density (p for trend = 0.026) with increasing level of sports/recreational PA in postmenopausal women with a BMI > or = 30 kg/m2. Conversely, in premenopausal women with a BMI < 30 kg/m2, we observed a statistically significant increase in percent density with increasing level of sports/recreational PA (p for trend = 0.037). CONCLUSIONS: Both mammographic dense area and percent density are inversely related to level of sports/recreational PA in obese postmenopausal women. Increasing PA among obese postmenopausal women may be a reasonable intervention approach to reduce mammographic density.

Previous pregnancy outcome and breast density (United States).

OBJECTIVE: We evaluated the association of pre-term delivery (PTD), low birth weight (LBW), and fetal death with breast density by age at mammogram and years since birth. METHODS: Subjects were women aged < or =55 years who had a screening mammogram between 1 June 1996 and 1 August 1997 in Seattle, Washington, and whose records were linked to their previous state birth (1 January 1968 to 1 August 1997) or fetal death (1/1/1984-8/1/1997) records. We used unconditional logistic regression, adjusting for age at mammogram, body mass index, age at first birth, and menopausal status, to calculate the odds of dense (extremely or heterogeneously dense by BI-RADS) (n=3593) versus fatty breasts (scattered fibroglandular tissue or almost entirely fat) (n=2378) for women with a prior PTD (< 34, 34-36 versus > or =37 weeks gestation), LBW (< 2500 versus > or =2500 g), or fetal death (stillborn 20 weeks gestation versus live birth). RESULTS: The odds for denser breasts increased among women with PTD at <34 weeks gestation who were < or =45 years at time of mammogram (odds ratio (OR) and 95 confidence interval (CI)=2.8 (1.3-6.1)) and for whom <10 years had elapsed since pregnancy (OR=8.8 (1.7-45.8)). We observed similar increases in density among women with LBW (OR=3.3 (1.3-8.2)) when <10 years had elapsed. CONCLUSIONS: PTD and LBW may have a transitory effect on breast density.

Rate of breast cancer diagnoses among postmenopausal women with self-reported breast symptoms.

BACKGROUND: Breast cancer rates in women with multiple breast symptoms have not been well described. METHODS: We examined the association between self-reported symptoms (lump, nipple discharge, pain, other) and breast cancer risk for screening and diagnostic mammograms in 57,681 women. Subanalyses evaluated risk among women with no prior mammograms, new symptoms, and repeated symptoms. One thousand, three hundred and eighty-nine women were diagnosed with cancer within 12 months of their mammograms. We calculated the breast cancer rate for each symptom and odds ratios (OR) with 95% confidence intervals (CI) for breast cancer among symptomatic women compared with asymptomatic women. RESULTS: Women reporting a lump had an increased odds of breast cancer compared with asymptomatic women (OR for diagnostic examination = 2.8, 95% CI = 2.3 to 3.4; OR for screening examination = 3.6, 95% CI = 2.6 to 5.0). No other symptoms were associated with breast cancer after controlling for a reported lump. A new lump at a diagnostic examination was significantly predictive of cancer among women with no prior mammograms (OR = 12.2, 95% CI = 2.8 to 53.5); reporting symptoms at 2 successive exams had little effect on breast cancer risk (OR for lump = 1.2, 95% CI = 0.6 to 2.5). CONCLUSIONS: Having a lump is the most predictive symptom of breast cancer whether it is reported at a screening or diagnostic examination or in conjunction with other symptoms.