Patterns of de-novo metastasis and breast cancer-specific mortality by race and molecular subtype in the SEER population-based dataset.

PURPOSE: To examine patterns of de-novo metastases (mets) and association with breast cancer-specific mortality across subtypes and racial groups. METHODS: Non-Hispanic (NH) Black and NH-White patients ages 40 years and older with primary breast cancer (BC) between 2010 and 2015 were examined. Multilevel logistic regression and Cox proportional hazards models were used to assess (1) odds of de-novo mets to specific sites by subtype, and (2) association of subtype with risk of BC mortality among patients with de-novo mets by race. RESULTS: A total of 204,941 BC patients were included in analysis. The most common de-novo mets site was to the bone, and overall prevalence of de-novo mets was higher among NH-Black (6.4%) versus NH-White (4.1%) patients. The odds of de-novo mets to any site were lower for TNBC (OR 0.68, 95% CI 0.62-0.73) and HR+/HER2- (OR 0.50, 95% CI 0.47-0.53) subtypes, but higher for HR-/HER2+ (OR 1.16, 95% CI 1.06-1.28) relative to HR+/HER2+ . De-novo mets to the brain only was associated with the highest mortality risk across all subtypes, ranging from a 13-fold increase (hazard ratio 13.45, 95% CI 5.03-35.96) for HR-/HER2+ to a 39-fold increase (hazard ratio 39.04, 95% CI 26.2-58.14) for HR+/HER2-. CONCLUSION: Site and fatality of de-novo mets vary by subtype and by race. This information may help improve risk stratification and post-diagnostic surveillance to ultimately reduce BC mortality.

Current smoking and quit-attempts among US adults following Medicaid expansion.

The objective of this study was to estimate the influence of the Affordable Care Act (ACA) Medicaid Expansion on current smoking and quit attempts in expanded and non-expanded states. We analyzed data from the Behavioral Risk Factor Surveillance System (BRFSS) between 2003 through 2015 to evaluate changes in current smoking and quit attempts using multivariable logistic regression and generalized estimating equations (GEE), adjusting for socioeconomic factors. Time periods evaluated were: 2003-2009 (pre-expansion) and 2011-2015 (post-expansion), and in supplemental analysis, also 2011-2017. Overall, smoking prevalence among adults in expanded and non-expanded states were 16% and 17% (p < 0.001), respectively, and quit attempt prevalence for expanded and non-expanded states were 56% and 57% (p = 0.05), respectively. In adjusted models comparing post- versus pre- expansion periods, current smoking declined by 6% in both expanded (RR: 0.94, 95% CI: 0.93-0.94) and non-expanded (RR: 0.94, 95% CI: 0.94-0.95) states. Quit attempts increased by 4% (RR: 1.04, 95% CI: 1.04-1.05) in expanded states, and by 3% (RR: 1.03, 95% CI: 1.02-1.03) in non-expanded states. States that imposed barriers to utilization of smoking cessation services e.g. prior authorization, saw only a 3% increase in quit attempts regardless of expansion status, while expanded states that did not impose barriers experienced a 6% (RR: 1.06, 95% CI: 1.05-1.06) increase in quit attempts. Reducing administrative barriers to smoking cessation programs may enhance further declines in smoking rates among US adults.

Medicaid Expansion and Breast Cancer Screening in Appalachia and Non-Appalachia, United States, BRFSS 2003 to 2015.

BACKGROUND: Prior data suggests that breast cancer screening rates are lower among women in the Appalachian region of the United States. This study examined the changes in breast cancer screening before and after the implementation of the Affordable Care Act Medicaid expansion, in Appalachia and non-Appalachia states. METHODS: Data from the Behavioral Risk Factor Surveillance System between 2003 and 2015 were analyzed to evaluate changes in breast cancer screening in the past 2 years among US women aged 50-74 years. Multivariable adjusted logistic regression and generalized estimating equation models were utilized, adjusting for sociodemographic, socioeconomic, and health-care characteristics. Data were analyzed for 2 periods: 2003 to 2009 (pre-expansion) and 2011 to 2015 (post-expansion) comparing Appalachia and non-Appalachia states. RESULTS: The prevalence for of self-reported breast cancer screening in Appalachia and non-Appalachia states were 83% and 82% ( P < .001), respectively. In Appalachian states, breast cancer screening was marginally higher in non-expanded versus expanded states in both the pre-expansion (relative risk [RR]: 1.002, 95% confidence interval [CI]: 1.002-1.003) and post-expansion period (RR: 1.001, 95% CI: 1.001-1.002). In non-Appalachian states, screening was lower in non-expanded states versus expanded states in both the pre-expansion (RR: 0.98, 95% CI: 0.97-0.98) and post-expansion period (RR: 0.95, 95% CI: 0.95-0.96). There were modest 3% to 4% declines in breast cancer screening rates in the pos-texpansion period regardless of expansion and Appalachia status. CONCLUSIONS: Breast cancer screening rates were higher in Appalachia versus non-Appalachia US states and higher in expanded versus nonexpanded non-Appalachia states. There were modest declines in breast cancer screening rates in the post-expansion period regardless of expansion and Appalachia status, suggesting that more work may be needed to reduce administrative, logistical, and structural barriers to breast cancer screening services.

Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.

BACKGROUND: This study examines whether racial disparities in hospitalization outcomes persist between African-American and White women with ovarian cancer after matching on demographic, presentation, and treatment factors. METHODS: Using data from the Nationwide Inpatient Sample database, 5,164 African-American ovarian cancer patients were sequentially matched with White patients on demographic (e.g., age, income), presentation (e.g., stage, comorbidities), and treatment (e.g., surgery, radiation) factors. Racial differences in-hospital length of stay, post-operative complications, and in-hospital mortality were evaluated using conditional logistic regression models. RESULTS: White ovarian cancer patients had relatively higher odds of post-operative complications when matched on demographics (OR 1.35, 95% CI 1.05, 1.74), and presentation (OR 1.28, 95% CI 1.00, 1.65) but not when additionally matched on treatment (OR 1.03, 95% CI 0.78, 1.35). African-American patients had longer in-hospital length of stay (6.96 ± 7.21 days) compared with White patients when matched on demographics (6.37 ± 7.07 days), presentation (6.48 ± 7.16 days), and treatment (6.53 ± 7.59 days). Compared with African-American patients, White patients experienced lower odds of in-hospital mortality when matched on demographics (OR 0.78, 95% CI 0.66, 0.92), but this disparity was no longer significant when additionally matched on presentation (OR 0.88, 95% CI 0.75, 1.04) and treatment (OR 0.95, 95% CI 0.81, 1.12). CONCLUSION: Racial disparities in ovarian cancer hospitalization outcomes persisted after adjusting for demographic and presentation factors; however these differences were eliminated after additionally accounting for treatment factors. More studies are needed to determine the factors driving racial differences in ovarian cancer treatment in otherwise similar patient populations.

In-Hospital Mortality and Post-Surgical Complications Among Cancer Patients with Metabolic Syndrome.

BACKGROUND: Metabolic syndrome (MetS) is an important etiologic and prognostic factor for cancer, but few studies have assessed hospitalization outcomes among patients with both conditions. METHODS: Data was obtained from the Healthcare Cost and Utilization project Nationwide Inpatient Sample (HCUP-NIS). Study variables were assessed using ICD-9 codes on adults aged 40 years and over admitted to a US hospital between 2007 and 2011 with primary diagnosis of either breast, colorectal, or prostate cancer. We examined in-hospital mortality, post-surgical complications, and discharge disposition among cancer patients with MetS and compared with non-MetS patients. RESULTS: Hospitalized breast (OR: 0.31, 95% CI: 0.20-0.46), colorectal (OR: 0.41, 95% CI: 0.35-0.49), and prostate (OR: 0.28, 95% CI: 0.16-0.49) cancer patients with MetS had significantly reduced odds of in-hospital mortality. The odds of post-surgical complications among breast (OR: 1.20, 95% CI: 1.03-1.39) and prostate (OR: 1.22, 95% CI: 1.09-1.37) cancer patients with MetS were higher, but lower by 7% among colorectal cancer patients with MetS. Additionally, breast (OR: 1.21, 95% CI: 1.11-1.32) and colorectal (OR: 1.06, 95% CI: 1.01-1.11) cancer patients with MetS had significantly higher odds for discharge to a skilled nursing facility compared with those without MetS, but this was not statistically significant among prostate cancer patients. CONCLUSIONS: Adverse health outcomes were significantly higher among hospitalized patients with a primary diagnosis of cancer and MetS. Future studies are needed to identify clinical strategies for detecting and managing patients with MetS to reduce the likelihood of poor inpatient outcomes.

Sleep disorder diagnoses and clinical outcomes among hospitalized breast cancer patients: a nationwide inpatient sample study.

PURPOSE: Sleep disturbances are recognized as a problem for many cancer patients, but little is known about the prevalence of sleep disorders among women hospitalized with breast cancer, or their relationship to in-hospital outcomes. The present study represents a first step toward determining the clinical significance of sleep disorders for hospitalized breast cancer patients with regard to complications, length of hospital stay, and mortality. METHODS: The relationships between sleep disorders and in-hospital outcomes among 84,424 hospitalized breast cancer patients were examined. This study analyzed the Nationwide Inpatient Sample (NIS) database (2007 to 2011) for all women ages 40 years and older with a primary discharge diagnosis of breast cancer and a secondary discharge diagnosis of sleep disorder. Odds ratios, estimates, and 95% confidence intervals were computed using multivariable regression adjusting for age, comorbidities, race, cancer stage, income, insurance type, residential region, year of discharge, and surgical treatment type. RESULTS: Among women hospitalized with a primary diagnosis of breast cancer, 2% (n = 1807) also received a diagnosis of a sleep disorder during hospitalization, the majority of which were sleep-related breathing disorders (n = 1274). Although there was no significant association between having a diagnosis of a sleep disorder and in-hospital mortality, patients with a sleep disorder were more likely to also experience complications (OR = 1.58, 95% CI 1.29-1.34) and have longer hospital stays (mean = 0.44 days longer, 95% CI 0.25-0.63). CONCLUSION: Hospitalized breast cancer patients with a sleep disorder were more likely to experience clinical complications and stay longer in the hospital. It remains an open and important question for future research whether interventions to improve sleep during hospitalization would help to improve clinical outcomes.

Sequential matched analysis of racial disparities in breast cancer hospitalization outcomes among African American and White patients.

BACKGROUND: The purpose of this study is to determine if racial disparities in inpatient outcomes persist among hospitalized patients comparing African American and White breast cancer patients matched on demographics, presentation and treatment. METHODS: A total of 136,211 African American and White breast cancer patients from the Healthcare Cost and Utilization Project - Nationwide Inpatient Sample (HCUP-NIS) database, matched on demographics alone, demographics and presentation or demographics, presentation and treatment were studied. Conditional logistic regression was conducted to evaluate post-surgical complications, length of stay and in-hospital mortality outcomes. Analysis was further stratified by age (≤65 years and >65years) to evaluate whether disparities were larger in younger or older patients. All analysis was conducted using SAS 9.3. RESULTS: White women had significantly shorter hospital length of stay when matched on demographics (ß=-0.87, p-value=<0.0001), demographics and presentation (ß=-0.63, p-value=<0.0001), and demographics, presentation and treatment (ß=-0.51, p-value=<0.0001) compared with African Americans. White women also had lower odds of mortality compared with African American women when matched on demographics (OR: 0.72, 95% CI: 0.65-0.79), demographics and presentation (OR: 0.77, 95% CI: 0.71-0.85), or matched on demographics, presentation and treatment (OR: 0.80, 95% CI: 0.73-0.88). The racial difference observed in length of stay and mortality was larger in the age group ≤65 years compared with >65years CONCLUSION: African American women experienced higher odds of inpatient mortality and longer length of stay compared with White women even after accounting for differences in demographics, presentation and treatment characteristics.

Marijuana use and inpatient outcomes among hospitalized patients: analysis of the nationwide inpatient sample database.

The purpose of this paper is to examine the relationship between marijuana use and health outcomes among hospitalized patients, including those hospitalized with a diagnosis of cancer. A total of 387,608 current marijuana users were identified based on ICD-9 codes for marijuana use among hospitalized patients in the Nationwide Inpatient Sample database between 2007 and 2011. Logistic regression analysis was performed to determine the association between marijuana use and heart failure, cardiac disease, stroke, and in-hospital mortality. All models were adjusted for age, gender, race, residential income, insurance, residential region, pain, and number of comorbidities. Among hospitalized patients, marijuana use was associated with a 60% increased odds of stroke (OR: 1.60, 95% CI: 1.44-1.77) compared with non-users, but significantly reduced odds of heart failure (OR: 0.78, 95% CI: 0.75-0.82), cardiac disease (OR: 0.86, 95% CI: 0.82-0.91), or in-hospital mortality (OR: 0.41, 95% CI: 0.38-0.44). Among cancer patients, odds of in-hospital mortality was significantly reduced among marijuana users compared with non-users (OR: 0.44, 95% CI: 0.35-0.55). Hospitalized marijuana users were more likely to experience a stroke compared with non-users, but less likely to experience in-hospital mortality. Prospective studies will be needed to better characterize the health effects of marijuana use, especially among older, sicker, and/or hospitalized patients. In the meantime, conversations regarding marijuana use/misuse may be warranted in the clinical setting in order for patients and healthcare providers to adequately weigh the anticipated benefits of marijuana use with potentially significant health risks.

Race/ethnicity and socio-economic differences in colorectal cancer surgery outcomes: analysis of the nationwide inpatient sample.

BACKGROUND: The purpose of this study was to examine racial and socio-economic differences in the receipt of laparoscopic or open surgery among patients with colorectal cancer, and to determine if racial and socio-economic differences exist in post-surgical complications, in-hospital mortality and hospital length of stay among patients who received surgery. METHODS: We conducted a cross-sectional analysis of hospitalized patients with a primary diagnosis of colorectal cancer between 2007 and 2011 using data from Nationwide Inpatient Sample. ICD-9 codes were used to capture primary diagnosis, surgical procedures, and health outcomes during hospitalization. We used logistic regression analysis to determine racial and socio-economic predictors of surgery type, post-surgical complications and mortality, and linear regression analysis to assess hospital length of stay. RESULTS: A total of 122,631 patients were admitted with a primary diagnosis of malignant colorectal cancer between 2007 and 2011. Of these, 17,327 (14.13 %) had laparoscopic surgery, 70,328 (57.35 %) received open surgery, while 34976 (28.52 %) did not receive any surgery. Black (36 %) and Hispanic (34 %) patients were more likely to receive no surgery compared with Whites (27 %) patients. However, among patients that received any surgery, there were no racial differences in which surgery was received (laparoscopic versus open, p = 0.2122), although socio-economic differences remained, with patients from lower residential income areas significantly less likely to receive laparoscopic surgery compared with patients from higher residential income areas (OR: 0.74, 95 % CI: 0.70-0.78). Among patients who received any surgery, Black patients (OR = 1.07, 95 % CI: 1.01-1.13), and patients with Medicare (OR = 1.16, 95 % CI: 1.11-1.22) and Medicaid (OR = 1.15, 95 % CI: 1.07-1.25) insurance experienced significantly higher post-surgical complications, in-hospital mortality (Black OR = 1.18, 95 % CI: 1.00-1.39), and longer hospital stay (Black ß = 1.33, 95 % CI: 1.16-1.50) compared with White patients or patients with private insurance. CONCLUSION: Racial and socio-economic differences were observed in the receipt of surgery and surgical outcomes among hospitalized patients with malignant colorectal cancer in the US.

Racial and socio-economic disparities in breast cancer hospitalization outcomes by insurance status.

BACKGROUND: Breast cancer remains a major cause of morbidity and mortality among women in the US, and despite numerous studies documenting racial disparities in outcomes, the survival difference between Black and White women diagnosed with breast cancer continues to widen. Few studies have assessed whether observed racial disparities in outcomes vary by insurance type e.g. Medicare/Medicaid versus private insurance. Differences in coverage, availability of networked physicians, or cost-sharing policies may influence choice of treatment and treatment outcomes, even after patients have been hospitalized, effects of which may be differential by race. PURPOSE: The aim of this analysis was to examine hospitalization outcomes among patients with a primary diagnosis of breast cancer and assess whether differences in outcome exist by insurance status after adjusting for age, race/ethnicity and socio-economic status. METHODS: We obtained data on over 67,000 breast cancer patients with a primary diagnosis of breast cancer for this cross-sectional study from the 2007-2011 Healthcare Cost and Utilization project Nationwide Inpatient Sample (HCUP-NIS), and examined breast cancer surgery type (mastectomy vs. breast conserving surgery or BCS), post-surgical complications and in-hospital mortality. Multivariable regression models were used to compute estimates, odds ratios and 95% confidence intervals. RESULTS: Black patients were less likely to receive mastectomies compared with White women (OR: 0.80, 95% CI: 0.71-0.90), regardless of whether they had Medicare/Medicaid or Private insurance. Black patients were also more likely to experience post-surgical complications (OR: 1.41, 95% CI: 1.12-1.78) and higher in-hospital mortality (OR: 1.57, 95%: 1.21-2.03) compared with White patients, associations that were strongest among women with Private insurance. Women residing outside of large metropolitan areas were significantly more likely to receive mastectomies (OR: 1.89, 95% CI: 1.54-2.31) and experience higher in-hospital mortality (OR: 1.74, 95% CI: 1.40-2.16) compared with those in metropolitan areas, regardless of insurance type. CONCLUSION: Among hospitalized patients with breast cancer, racial differences in hospitalization outcomes existed and worse outcomes were observed among Black women with private insurance. Future studies are needed to determine factors associated with poor outcomes in this group of women, as well as to examine contributors to low BCS adoption in non-metropolitan areas.

Association between body mass index and in-hospital outcomes: Analysis of the nationwide inpatient database.

IMPORTANCE: Over one-third of American adults (36%) are obese and more than two-thirds (69%) are overweight. The impact of obesity on hospitalization outcomes is not well understood. OBJECTIVE: To examine the association between body mass index (BMI) and overall, cancer, chronic obstructive pulmonary disease (COPD), asthma, and cardiovascular disease (CVD)-specific in-hospital mortality; postsurgical complications; and hospital length of stay (LOS). DESIGN: Cross-sectional study. SETTING: Representative sample of US hospitals included in the Health Cost and Utilization Project Nationwide Inpatient Sample database. PARTICIPANTS: We obtained data for patients admitted with a primary diagnosis of cancer, COPD, asthma, and CVD. MAIN OUTCOME: In-hospital mortality, postsurgical complications, and hospital LOS. RESULTS: A total of 800,417 patients were included in this analysis. A higher proportion of Blacks (26.8%; 12.5%) and Whites (23.3%; 8.7%) had BMI of 40 to 49.9 and ≥50, respectively, compared with Hispanics (20.4%; 7.3%). Compared with normal BMI patients, the odds of in-hospital mortality increased 3.6-fold (odds ratio [OR] 3.62, 95% confidence interval [CI]: 3.37-3.89) for preobese patients, 6.5-fold (OR: 6.52, 95% CI: 5.79-7.34) for patients with BMI: 30 to 31.9, 7.5-fold (OR: 7.57, 95% CI: 6.67-8.59) for patients with BMI: 34 to 35.9, and 1.6- fold (OR: 1.77, 95% CI: 1.56-1.79) for patients with BMI ≥ 50. Compared with normal BMI patients, preobese and overweight patients had shorter hospital stays (ß preobese: -1.58, 95% CI: -1.63, -1.52); however, no clear trends were observed for postsurgical complications. CONCLUSIONS: The majority of hospitalized patients in this analysis had a BMI > 30, and higher BMI was associated with increased risk of mortality and longer hospital stay.

Race/ethnicity and socio-economic differences in breast cancer surgery outcomes.

BACKGROUND: The purpose of this study is to evaluate racial and socio-economic differences in breast cancer surgery treatment, post-surgical complications, hospital length of stay and mortality among hospitalized breast cancer patients. METHODS: We examined the association between race/ethnicity and socio-economic status with treatment and outcomes after surgery among 71,156 women hospitalized with a primary diagnosis of breast cancer using the Nationwide Inpatient Sample database from 2007 to 2011. Multivariable regression models were used to compute estimates, odds ratios and 95% confidence intervals adjusting for age, comorbidities, stage at diagnosis, insurance, and residential region. RESULTS: Black women were more likely to receive breast conserving surgery but less likely to receive mastectomies compared with white women. They also experienced significantly longer hospital stays (ß=0.31, 95% CI: 0.24, 0.39), post-surgical complications (OR=1.21, 95% CI: 1.04-1.42) and in-hospital mortality (OR=1.26, 95% CI: 1.07-1.50) compared with Whites, after adjusting for other factors including the number of comorbidities and treatment type. CONCLUSION: Among patients hospitalized for breast cancer, there were racial differences observed in treatment and outcomes. Further studies are needed to fully characterize whether these differences are due to individual, provider level or hospital level factors, and to highlight areas for targeted approaches to eliminate these disparities.

Depression and Anxiety Disorders among Hospitalized Women with Breast Cancer.

PURPOSE: To document the prevalence of depression and anxiety disorders, and their associations with mortality among hospitalized breast cancer patients. METHODS: We examined the associations between breast cancer diagnosis and the diagnoses of anxiety or depression among 4,164 hospitalized breast cancer cases matched with 4,164 non-breast cancer controls using 2006-2009 inpatient data obtained from the Nationwide Inpatient Sample database. Conditional logistic regression models were used to compute odds ratios (ORs) and 95% confidence intervals (CI) for the associations between breast cancer diagnosis and diagnoses of anxiety or depression. We also used binary logistic regression models to examine the association between diagnoses of depression or anxiety, and in-hospital mortality among breast cancer patients. RESULTS: We observed that breast cancer cases were less likely to have a diagnosis of depression (OR=0.63, 95% CI: 0.52-0.77), and less likely to have a diagnosis of anxiety (OR=0.68, 95% CI: 0.52-0.90) compared with controls. This association remained after controlling for race/ethnicity, residential income, insurance and residential region. Breast cancer patients with a depression diagnosis also had lower mortality (OR=0.69, 95% CI: 0.52-0.89) compared with those without a depression diagnosis, but there was no significant difference in mortality among those with and without anxiety diagnoses. CONCLUSION: Diagnoses of depression and anxiety in breast cancer patients were less prevalent than expected based on our analysis of hospitalized breast cancer patients and matched non-breast cancer controls identified in the NIS dataset using ICD-9 diagnostic codes. Results suggest that under-diagnosis of mental health problems may be common among hospitalized women with a primary diagnosis of breast cancer. Future work may fruitfully explore reasons for, and consequences of, inappropriate identification of the mental health needs of breast cancer patients.

Challenges in Recruiting Aging Women Holocaust Survivors to a Case Control Study of Breast Cancer.

Older adults are underrepresented in medical research for many reasons, including recruitment difficulties. Recruitment of older adults for research studies is often a time-consuming process and can be more challenging when the study involves older adults with unique exposures to traumatic events and from minority groups. The current article provides a brief overview of (a) challenges encountered while recruiting aging women Holocaust survivors for a case control study and (b) strategies used for meeting those challenges. The case group comprised women Holocaust survivors who were recently diagnosed with breast cancer and the control group comprised healthy women from a Holocaust-survivor community in Israel.

Correlations in global DNA methylation measures in peripheral blood mononuclear cells and granulocytes.

Alterations in global DNA methylation levels have been associated with chronic diseases. Despite the increase in the number of studies measuring markers of global methylation, few have adequately examined within-individual differences by source of DNA and whether within-individual differences by source of DNA differ by age, race and other lifestyle factors. We examined correlations between peripheral mononuclear cell (PBMC) and granulocyte DNA methylation levels measured by the luminometric methylation assay (LUMA), and in LINE-1, Sat2, and Alu by MethyLight and pyrosequencing, in the same individual in 112 women participating in The New York City Multiethnic Breast Cancer Project. Levels of DNA methylation of Sat2 by MethyLight (r = 0.57; P < 0.01) and LINE-1 by pyrosequencing (r = 0.30; P < 0.01) were correlated between PBMC and granulocyte DNA of the same individuals, but LUMA and Alu levels were not. The magnitude of the correlations for Sat2 and LINE-1 varied when stratified by selected demographic and lifestyle factors, although the study sample size limited our comparisons across subgroups. These results lend further support to the importance of considering the source of DNA in epidemiologic studies of white blood cell DNA methylation. Results from studies that combine individuals with different available DNA sources need to be interpreted with caution.

World War II-related post-traumatic stress disorder and breast cancer risk among Israeli women: a case-control study.

BACKGROUND: Several studies have suggested that post-traumatic stress disorder (PTSD) is related to adverse health outcomes. There are limited data on PTSD and cancer, which has a long latency period. We investigated the association between World War II (WWII)-related PTSD and subsequent breast cancer (BC) risk among Jewish WWII survivors and examined whether this association was modified by exposure to hunger during WWII. METHODS: We compared 65 BC patients diagnosed in 2005 through 2010 to 200 population-based controls who were members of various organizations for Jewish WWII survivors in Israel. All participants were born in Europe, lived at least six months under Nazi rule during WWII, and immigrated to Israel after the war. We estimated PTSD using the PTSD Inventory and applied logistic regression models to estimate the association between WWII-related PTSD and BC, adjusting for potential confounders. RESULTS: We observed a linear association between WWII-related PTSD and BC risk. This association remained significant following adjustment for potential confounders, including obesity, alcohol consumption, smoking, age during WWII, hunger exposure during WWII, and total number of traumatic life events (OR = 2.89, 95% CI = 1.14-7.31). However, the level of hunger exposure during WWII modified this effect significantly. CONCLUSIONS: These findings suggest an independent association between WWII-related PTSD and subsequent BC risk in Jewish WWII survivors that is modified by hunger, a novel finding. Future research is needed to further explore these findings.

Racial disparities in posttraumatic stress after diagnosis of localized breast cancer: the BQUAL study.

BACKGROUND: Little is known about the development of posttraumatic stress disorder (PTSD) over time among women diagnosed with breast cancer. This study examines changes in PTSD symptoms in the first 6 months after diagnosis and assesses racial/ethnic differences in PTSD symptomatology over time. METHODS: We recruited women with newly diagnosed breast cancer, stages I to III, from three sites in the United States. Three telephone interviews were conducted: baseline at about 2 to 3 months after diagnosis, first follow-up at 4 months after diagnosis, and second follow-up at 6 months after diagnosis. We measured traumatic stress in each interview using the Impact of Events Scale; recorded sociodemographic, tumor, and treatment factors; and used generalized estimating equations and polytomous logistic regression modeling to examine the associations between variables of interest and PTSD. RESULTS: Of 1139 participants, 23% reported symptoms consistent with a diagnosis of PTSD at baseline, 16.5% at first follow-up, and 12.6% at the second follow-up. Persistent PTSD was observed among 12.1% participants, as defined by having PTSD at two consecutive interviews. Among participants without PTSD at baseline, 6.6% developed PTSD at the first follow-up interview. Younger age at diagnosis, being black (odds ratio [OR] = 1.48 vs white, 95% confidence interval [CI] =1.04 to 2.10), and being Asian (OR = 1.69 vs white, 95% CI = 1.10 to 2.59) were associated with PTSD. CONCLUSIONS: Nearly one-quarter of women newly diagnosed with breast cancer reported symptoms consistent with PTSD shortly after diagnosis, with increased risk among black and Asian women. Early identification of PTSD may present an opportunity to provide interventions to manage symptoms.

[Developing indices for caloric restriction related to World War II--a pilot study].

BACKGROUND: The vast numbers of studies regarding caloric restriction (CR) and breast cancer risk are based on war-related extreme situations. Studying the impact of CR in Jews during World War II (WW II) is challenging due to its variance and duration. OBJECTIVE: To develop novel research tools in order to assess CR exposure in Jews that occurred more than 60 years ago during WW II. METHODS: A pilot study based on Israeli women born in Europe in 1926-45, who lived there during WWII. Primary incident breast cancer patients and population-based controls were interviewed using a detailed questionnaire referring to demographic, obstetric factors and WW II experiences. Exposure to WWII-related CR was assessed by several proxy variables based on this information. RESULTS: The individual hunger score was higher in the exposed cases [mean score 141.06 vs. 130.07 in the controls). The same trend was observed for self perceived hunger score (mean score 2.75 in cases vs. 2.40 in controls) and hunger symptoms score (4.89 vs. 3.56, respectively). CONCLUSIONS: The novel research tools are appropriate for comparative assessment of CR exposure in case control studies.