Participant attrition from statewide, population-based Survey of the Health of Wisconsin into the longitudinal SHOW COVID-19 cohort.

PURPOSE: Longitudinal studies are essential for examining how social and institutional determinants of health, historical and contemporary, affect disparities in COVID-19 related outcomes. The unequal impacts of COVID-19 likely exacerbated selected attrition in longitudinal research. This study examines attrition and survey mode effects in the SHOW COVID-19 study which recruited from a statewide, representative cohort. MATERIALS & METHODS: Participants were recruited from the Survey of the Health of Wisconsin (SHOW) cohort. Online surveys, or phone interviews, were administered at three timepoints during 2020-2021. The surveys captured social, behavioral, and structural determinants of health and the lived experience. Univariate and multivariate logistic regression was used to examine predictors of participation and survey mode effects. RESULTS: A total of 2304 adults completed at least one COVID-19 online survey. Participants were more educated, older, and more likely to be female, married, non-Hispanic, and White compared to non-participants. Phone participants were older, less educated, and more likely be non-White, food insecure, and have co-morbidities compared to online participants. Mode effects were seen with reporting COVID-19 beliefs, loneliness, and anxiety. CONCLUSION: The SHOW COVID-19 cohort offers unique longitudinal data but suffered from selected attrition. Phone interview is an important mode for retention and representation.

Sense of neighborhood belonging and health: geographic, racial, and socioeconomic variation in Wisconsin.

Background: Individuals' sense of belonging (SoB) to their neighborhood is an understudied psychosocial factor that may influence the association between neighborhood characteristics, health, and disparities across socio-demographic groups. Methods: Using 2014-2016 data from the Survey of the Health of Wisconsin (SHOW, N = 1,706), we conduct a detailed analysis of SoB and health in an American context. We construct OLS and logistic regressions estimating belonging's association with general, physical, and mental health. We explore geographic, racial, and socioeconomic variation to understand both the differential distribution of SoB and its heterogeneous relationship with health. Results: A higher SoB is positively associated with better physical, mental, and general health. White participants report higher SoB than Black participants, yet the association between SoB and mental health is strongest among participants of color and urban residents. Conclusion: Sense of belonging to neighborhood significantly predicts many facets of health, with place and individual characteristics appearing to moderate this relationship. Racial, geographic, and socioeconomic disparities in belonging-health associations raise important questions about who benefits from the social, economic, and physical aspects of local communities.

The Survey of the Health of Wisconsin (SHOW) Program: An Infrastructure for Advancing Population Health.

Introduction: The Survey of the Health of Wisconsin (SHOW) was established in 2008 by the University of Wisconsin (UW) School of Medicine and Public Health (SMPH) with the goals of (1) providing a timely and accurate picture of the health of the state residents; and (2) serving as an agile resource infrastructure for ancillary studies. Today, the SHOW program continues to serve as a unique and vital population health research infrastructure for advancing public health. Methods: SHOW currently includes 5,846 adult and 980 minor participants recruited between 2008 and 2019 in four primary waves. WAVE I (2008-2013) includes annual statewide representative samples of 3,380 adults ages 21 to 74 years. WAVE II (2014-2016) is a triannual statewide sample of 1,957 adults (age ≥18 years) and 645 children (age 0-17). WAVE III (2017) consists of follow-up of 725 adults from the WAVE I and baseline surveys of 222 children in selected households. WAVEs II and III include stool samples collected as part of an ancillary study in a subset of 784 individuals. WAVE IV consists of 517 adults and 113 children recruited from traditionally under-represented populations in biomedical research including African Americans and Hispanics in Milwaukee, Wisconsin. Findings to Date: The SHOW resource provides unique spatially granular and timely data to examine the intersectionality of multiple social determinants and population health. SHOW includes a large biorepository and extensive health data collected in a geographically diverse urban and rural population. Over 60 studies have been published covering a broad range of topics including, urban and rural disparities in cardio-metabolic disease and cancer, objective physical activity, sleep, green-space and mental health, transcriptomics, the gut microbiome, antibiotic resistance, air pollution, concentrated animal feeding operations and heavy metal exposures. Discussion: The SHOW cohort and resource is available for continued follow-up and ancillary studies including longitudinal public health monitoring, translational biomedical research, environmental health, aging, microbiome and COVID-19 research.

The Survey of the Health of Wisconsin (SHOW) Program: An infrastructure for Advancing Population Health Sciences.

PURPOSE: The Survey of the Health of Wisconsin (SHOW) was established in 2008 by the University of Wisconsin (UW) School of Medicine and Public Health (SMPH) with the goals of 1) providing a timely and accurate picture of the health of the state residents; and 2) serving as an agile resource infrastructure for ancillary studies. Today SHOW continues to serve as a vital population health research infrastructure. PARTICIPANTS: SHOW currently includes 5,846 adult and 980 minor participants recruited between 2008-2019 in four primary waves. WAVE I (2008-2013) includes annual statewide representative samples of 3,380 adults ages 21 to 74 years. WAVE II (2014-2016) is a triannual statewide sample of 1957 adults (age ≥18 years) and 645 children. WAVE III (2017) consists of follow-up of 725 adults from the WAVE I and baseline surveys of 222 children in selected households. WAVEs II and III include stool samples collected as part of an ancillary study in a subset of 784 individuals. WAVE IV consist of 517 adults and 113 children recruited from traditionally under-represented populations in biomedical research including African Americans and Hispanics in Milwaukee county, WI. FINDINGS TO DATE: The SHOW provides extensive data to examine the intersectionality of multiple social determinants and population health. SHOW includes a large biorepository and extensive health data collected in a geographically diverse urban and rural population. Over 60 studies have been published covering a broad range of topics including, urban and rural disparities in cardio-metabolic disease and cancer, objective physical activity, sleep, green-space and mental health, transcriptomics, the gut microbiome, antibiotic resistance, air pollution, concentrated animal feeding operations and heavy metal exposures. FUTURE PLANS: The SHOW cohort is available for continued longitudinal follow-up and ancillary studies including genetic, multi-omic and translational environmental health, aging, microbiome and COVID-19 research. ARTICLE SUMMARY: Strengths and limitations: The Survey of the Health of Wisconsin (SHOW) is an infrastructure to advance population health sciences including biological sample collection and broader data on individual and neighborhood social and environmental determinants of health.The extensive data from diverse urban and rural populations offers a unique study sample to compare how socio-economic gradients shape health outcomes in different contexts.The objective health data supports novel interdisciplinary research initiatives and is especially suited for research in causes and consequences of environmental exposures (physical, chemical, social) across the life course on cardiometabolic health, immunity, and aging related conditions.The extensive biorepository supports novel omics research into common biological mechanisms underlying numerous complex chronic conditions including inflammation, oxidative stress, metabolomics, and epigenetic modulation.Ancillary studies, such as the Wisconsin Microbiome Study, have expanded the utility of the study to examine human susceptibility to environmental exposures and opportunities for investigations of the role of microbiome in health and disease.Long-standing partnerships and recent participation among traditionally under-represented populations in biomedical research offer numerous opportunities to support community-driven health equity work.No biological samples were collected among children.The statewide sampling frame may limit generalizability to other regions in the United States.

Prescribed Opioid Use in Wisconsin 2008-2016: Findings From the Survey of the Health of Wisconsin.

BACKGROUND: The opioid epidemic is a national crisis. The objectives of this report were to describe prescription opioid use in Wisconsin from 2008 through 2016 using unique populationrepresentative data and to assess which demographic, health, and behavioral health characteristics were related to past 30-day prescribed opioid use. METHODS: Data were obtained from the Survey of the Health of Wisconsin (SHOW), a statewide representative sample of 4,487 adults. Prescription medication use was ascertained via in-person interviews that included an inventory of all prescription medications used by the respondent in the past 30 days. The data were weighted to represent the adult population of Wisconsin, aged 21 to 74. Chi-square, logistic regression, and descriptive statistics were used to analyze data. RESULTS: From 2008 to 2016, 6.4% (95% CI, 5.5-7.3) of adults age 21 years or older reported using a prescribed opioid in the past 30 days. Hydrocodone was the most prescribed opioid class followed by oxycodone. People 50 years of age and older, self-identified black or Hispanic, urban dwellers, those with a high school education or less, and those having incomes below 200% of the federal poverty level (FPL) reported significantly higher rates of prescribed opioid use relative to others. Participants reporting physician-diagnosed drug or alcohol abuse, current smokers, and those currently suffering from depression also reported significantly higher use. CONCLUSION: These data from 2008-2016 demonstrate concerning levels of prescription opioid use and provide data on which population groups may be most vulnerable. While policies and clinical practice have changed since 2016, ongoing evaluation of prescribing practices, including consideration of behavioral health issues when prescribing opioids, is called for.

Reasons Behind Preferences for Community-Based Continence Promotion.

OBJECTIVES: This study aimed to understand the potential reach of continence promotion intervention formats among incontinent women. METHODS: The Survey of the Health of Wisconsin conducts household interviews on a population-based sample. In 2016, 399 adult women were asked about incontinence and likelihood of participation in continence promotion via 3 formats: single lecture, interactive 3-session workshop, or online. Descriptive analyses compared women likely versus unlikely to participate in continence promotion. To understand format preferences, modified grounded theory was used to conduct and analyze telephone interviews. RESULTS: One hundred eighty-seven (76%) of 246 incontinent women reported being likely to attend continence promotion: 111 (45%) for a single lecture, 43 (17%) for an interactive 3-session workshop, and 156 (64%) for an online program. Obesity, older age, nonwhite race, prior health program participation, and Internet use for health information were associated with reported continence promotion participation. Cited advantages of a single lecture included convenience and ability to ask questions. A workshop offered accountability, hands-on learning, and opportunity to learn from others; online format offered privacy, convenience, and self-directed learning. CONCLUSIONS: Most incontinent women are willing to participate in continence promotion, especially online.

Survey of Radon Testing and Mitigation by Wisconsin Residents, Landlords, and School Districts.

INTRODUCTION: Radon is the second-leading cause of lung cancer in the United States, the leading cause of lung cancer in nonsmokers, and is estimated to cause 21,000 deaths every year. Radon is especially prevalent in the upper Midwest. This study aimed to assess radon testing and mitigation practices among residential homeowners, landlords, and school districts in Wisconsin. METHODS: Two survey sample datasets were used to assess radon testing and mitigation in residential homes: the Survey of the Health of Wisconsin (SHOW) and Wisconsin Behavioral Risk Factor Surveillance System (BRFSS) survey. Wisconsin landlords and school administrators were surveyed to assess radon testing and mitigation in rental properties and schools, respectively. RESULTS: Approximately 30% of Wisconsin homeowners (22.1% from SHOW and 39.9% from BRFSS) have tested their properties for radon. Similarly, 31.0% of Wisconsin landlords (40/129) and 35.1% of Wisconsin school districts (78/222) have tested their schools for radon. Of homeowners with elevated radon, about 60% mitigated. School districts whose radon levels tested high most commonly did not mitigate, with costs and/or lack of funding cited as the most common barrier. DISCUSSION/CONCLUSION: Radon testing and mitigation practices are inadequate in Wisconsin, and future work will seek to determine the best methods to increase testing and mitigation and reduce radon-induced lung cancer deaths in Wisconsin.

Food insecurity and cardiovascular health: Findings from a statewide population health survey in Wisconsin.

BACKGROUND: The social and economic environment has become a major area of interest regarding the determinants of cardiovascular health. Among markers of economic distress, food insecurity has been found associated with metabolic disorders, dyslipidemia, and obesity, but no previous studies have examined its association with overall cardiovascular health. METHODS AND RESULTS: We conducted a cross-sectional analysis among 2935 participants in the Survey of the Health of Wisconsin (SHOW), a statewide population-based representative sample. The presence of food insecurity was determined by an affirmative answer to the question "In the last 12months, have you been concerned about having enough food for you or your family?" Cardiovascular health (CVH) was defined based on the American Heart Association Life's Simple 7 criteria and classified as "poor," "intermediate," or "ideal" using previously published criteria. "Good" CVH was defined as having no poor in any of the seven criteria (any amount of intermediate or ideal). Crude and adjusted odds ratios (OR) of good CVH according to presence of food insecurity were calculated using logistic regression models. Overall, food insecurity was associated with a decreased likelihood of good CVH (OR 0.53; 95% Confidence Interval 0.31 to 0.92; p=0.02). This association persisted in models controlling for age, gender, race, and urbanization. CONCLUSIONS: Participants who were food insecure were significantly less likely to have good CVH compared to participants who were food secure. Even though this study cannot confirm causality, these results suggest that food insecurity might be one of several socio-economic barriers contributing to poor CVH.

The Wisconsin Assessment of the Social and Built Environment (WASABE): a multi-dimensional objective audit instrument for examining neighborhood effects on health.

BACKGROUND: Growing evidence suggests that mixed methods approaches to measuring neighborhood effects on health are needed. The Wisconsin Assessment of the Social and Built Environment (WASABE) is an objective audit tool designed as an addition to a statewide household-based health examination survey, the Survey of the Health of Wisconsin (SHOW), to objectively measure participant's neighborhoods. METHODS: This paper describes the development and implementation of the WASABE and examines the instrument's ability to capture a range of social and built environment features in urban and rural communities. A systematic literature review and formative research were used to create the tool. Inter-rater reliability parameters across items were calculated. Prevalence and density of features were estimated for strata formed according to several sociodemographic and urbanicity factors. RESULTS: The tool is highly reliable with over 81% of 115 derived items having percent agreement above 95%. It captured variance in neighborhood features in for a diverse sample of SHOW participants. Sidewalk density in neighborhoods surrounding households of participants living at less than 100% of the poverty level was 67% (95% confidence interval, 55-80%) compared to 34% (25-44%) for those living at greater than 400% of the poverty level. Walking and biking trails were present in 29% (19-39%) of participant buffer in urban areas compared to only 7% (2-12%) in rural communities. Significant environmental differences were also observed for white versus non-white, high versus low income, and college graduates versus individuals with lower level of education. CONCLUSIONS: The WASABE has strong inter-rater reliability and validity properties. It builds on previous work to provide a rigorous and standardized method for systematically gathering objective built and social environmental data in a number of geographic settings. Findings illustrate the complex milieu of built environment features found in participants neighborhoods and have relevance for future research, policy, and community engagement purposes.

Predictors of discordance between perceived and objective neighborhood data.

PURPOSE: Pathways by which the social and built environments affect health can be influenced by differences between perception and reality. This discordance is important for understanding health impacts of the built environment. This study examines associations between perceived and objective measures of 12 nonresidential destinations, as well as previously unexplored sociodemographic, lifestyle, neighborhood, and urbanicity predictors of discordance. METHODS: Perceived neighborhood data were collected from participants of the Survey of the Health of Wisconsin, using a self-administered questionnaire. Objective data were collected using the Wisconsin Assessment of the Social and Built Environment, an audit-based instrument assessing built environment features around each participant's residence. RESULTS: Overall, there was relatively high agreement, ranging from 50% for proximity to parks to more than 90% for golf courses. Higher education, positive neighborhood perceptions, and rurality were negatively associated with discordance. Associations between discordance and depression, disease status, and lifestyle factors appeared to be modified by urbanicity level. CONCLUSIONS: These data show perceived and objective neighborhood environment data are not interchangeable and the level of discordance is associated with or modified by individual and neighborhood factors, including the level of urbanicity. These results suggest that consideration should be given to including both types of measures in future studies.

Overall prescription medication use among adults: findings from the Survey of the Health of Wisconsin.

PURPOSE: To analyze overall prescription medication use patterns among study participants in a representative statewide sample of Wisconsin adults. METHODS: We analyzed data on 1572 participants from the 2008-2010 cycles of the Survey of the Health of Wisconsin (SHOW). SHOW is a statewide population-based survey that collects health information, including prescription medications, from 21 to 74 year olds. Prescription medication use was examined according to demographic and socioeconomic characteristics. RESULT: Almost 55% of participants reported using at least 1 medication in the past month and 14% reported using at least 5 medications. The top 5 medications reported were lisinopril, hydrochlorothiazide, simvastatin, levothyroxine, and metoprolol. Overall prescription medication use increased significantly with age. Medication use was greater among females, former smokers, adults with body mass index (BMI) ≥ 30, or with low family income, and non-hispanic blacks. Adults having health insurance, drug coverage, or a regular source of care were more likely to report medication use. CONCLUSION: The prevalence of prescription medication use in a general population sample in Wisconsin was high. Age, gender, race, BMI, family income, smoking history, health insurance, prescription drug coverage, and having a regular source of health care were associated with prescription medication use.

Post-diagnosis dietary factors and survival after invasive breast cancer.

Little is known about the effects of diet after breast cancer diagnosis on survival. We prospectively examined the relation between post-diagnosis dietary factors and breast cancer and all-cause survival in women with a history of invasive breast cancer diagnosed between 1987 and 1999 (at ages 20-79 years). Diet after breast cancer diagnosis was measured using a 126-item food frequency questionnaire. Among 4,441 women without a history of breast cancer recurrence prior to completing the questionnaire, 137 subsequently died from breast cancer within 7 years of enrollment. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated for intake of macronutrients as well as selected micronutrients and food groups from Cox proportional hazards regression models. After adjustment for factors at diagnosis (age, state of residence, menopausal status, smoking, breast cancer stage, alcohol, history of hormone replacement therapy), interval between diagnosis and diet assessment, and at follow-up (energy intake, breast cancer treatment, body mass index, and physical activity), women in the highest compared to lowest quintile of intake of saturated fat and trans fat had a significantly higher risk of dying from any cause (HR = 1.41, 95% CI = 1.06-1.87, P trend = 0.03) for saturated fat; (HR = 1.78, 95% CI = 1.35-2.32, P trend = 0.01) for trans fat intake. Associations were similar, though did not achieve statistical significance, for breast cancer survival. This study suggests that lower intake of saturated and trans fat in the post-diagnosis diet is associated with improved survival after breast cancer diagnosis.

The Survey of the Health of Wisconsin (SHOW), a novel infrastructure for population health research: rationale and methods.

BACKGROUND: Evidence-based public health requires the existence of reliable information systems for priority setting and evaluation of interventions. Existing data systems in the United States are either too crude (e.g., vital statistics), rely on administrative data (e.g., Medicare) or, because of their national scope (e.g., NHANES), lack the discriminatory power to assess specific needs and to evaluate community health activities at the state and local level. This manuscript describes the rationale and methods of the Survey of the Health of Wisconsin (SHOW), a novel infrastructure for population health research. METHODS/DESIGN: The program consists of a series of independent annual surveys gathering health-related data on representative samples of state residents and communities. Two-stage cluster sampling is used to select households and recruit approximately 800-1,000 adult participants (21-74 years old) each year. Recruitment and initial interviews are done at the household; additional interviews and physical exams are conducted at permanent or mobile examination centers. Individual survey data include physical, mental, and oral health history, health literacy, demographics, behavioral, lifestyle, occupational, and household characteristics as well as health care access and utilization. The physical exam includes blood pressure, anthropometry, bioimpedance, spirometry, urine collection and blood draws. Serum, plasma, and buffy coats (for DNA extraction) are stored in a biorepository for future studies. Every household is geocoded for linkage with existing contextual data including community level measures of the social and physical environment; local neighborhood characteristics are also recorded using an audit tool. Participants are re-contacted bi-annually by phone for health history updates. DISCUSSION: SHOW generates data to assess health disparities across state communities as well as trends on prevalence of health outcomes and determinants. SHOW also serves as a platform for ancillary epidemiologic studies and for studies to evaluate the effect of community-specific interventions. It addresses key gaps in our current data resources and increases capacity for etiologic, applied and translational population health research. It is hoped that this program will serve as a model to better support evidence-based public health, facilitate intervention evaluation research, and ultimately help improve health throughout the state and nation.

Body mass index before and after breast cancer diagnosis: associations with all-cause, breast cancer, and cardiovascular disease mortality.

BACKGROUND: Factors related to improving outcomes in breast cancer survivors are of increasing public health significance. We examined postdiagnosis weight change in relation to mortality risk in a cohort of breast cancer survivors. METHODS: We analyzed data from a cohort of 3,993 women with ages 20 to 79 years living in New Hampshire, Massachusetts, or Wisconsin with invasive nonmetastatic breast cancers diagnosed in 1988 to 1999 identified through state registries. Participants completed a structured telephone interview 1 to 2 years after diagnosis and returned a mailed follow-up questionnaire in 1998 to 2001 that addressed postdiagnosis weight and other factors. Vital status information was obtained from the National Death Index through December 2005. Hazard ratios and 95% confidence intervals were estimated from Cox proportional hazards models and adjusted for prediagnosis weight, age, stage, smoking, physical activity, and other important covariates. RESULTS: During an average 6.3 years of follow-up from the postdiagnosis questionnaire, we identified 421 total deaths, including 121 deaths from breast cancer and 95 deaths from cardiovascular disease. Increasing postdiagnosis weight gain and weight loss were each associated with greater all-cause mortality. Among women who gained weight after breast cancer diagnosis, each 5-kg gain was associated with a 12% increase in all-cause mortality (P = 0.004), a 13% increase in breast cancer-specific mortality (P = 0.01), and a 19% increase in cardiovascular disease mortality (P = 0.04). Associations with breast cancer mortality were not modified by prediagnosis menopausal status, cigarette smoking, or body mass index. CONCLUSION: These findings suggest that efforts to minimize weight gain after a breast cancer diagnosis may improve survival.

Nitrogen-nitrate exposure from drinking water and colorectal cancer risk for rural women in Wisconsin, USA.

One unintentional result of widespread adoption of nitrogen application to croplands over the past 50 years has been nitrate contamination of drinking water with few studies evaluating the risk of colorectal cancer. In our population-based case-control study of 475 women age 20-74 years with colorectal cancer and 1447 community controls living in rural Wisconsin, drinking water nitrate exposure were interpolated to subjects residences based on measurements which had been taken as part of a separate water quality survey in 1994. Individual level risk factor data was gathered in 1990-1992 and 1999-2001. Logistic regression models estimated the risk of colorectal cancer for the study period, separately and pooled. In the pooled analyses, an overall colorectal cancer risk was not observed for exposure to nitrate-nitrogen in the highest category (> or =10 ppm) compared to the lowest category (<0.5 ppm). However, a 2.9 fold increase risk was observed for proximal colon cancer cases in the highest compared to the lowest category. Statistically significant increased distal colon or rectal cancer risk was not observed. These results suggest that if an association exists with nitrate-nitrogen exposure from residential drinking water consumption, it may be limited to proximal colon cancer.

Fertility drug use and mammographic breast density in a mammography screening cohort of premenopausal women.

The widespread use of ovulation-inducing drugs to enhance fertility has raised concerns about its potential effects on breast cancer risk, as ovarian stimulation is associated with increases in estrogen and progesterone levels. We investigated the short-term relation between fertility drug use and mammographic breast density, a strong marker of breast cancer risk, among participants in the Group Health Breast Cancer Screening Program. Data linkage with Group Health automated pharmacy records identified 104 premenopausal women < 50 years old who obtained a mammogram during 1996--2006, within 2 years after a fertility drug dispensing. Premenopausal nonusers of fertility drugs were matched to users by age, body mass index, age at first birth, family history of breast cancer, past use of birth control hormones, race, and education (n = 1005). All mammograms were categorized for density according to the Breast Imaging Reporting Data System as entirely fat, scattered fibroglandular, heterogeneously dense, or extremely dense. Density in fertility drug users was equally likely as in nonusers to be rated entirely fat [odds ratio (OR), 0.83; 95% confidence interval (95% CI), 0.18-3.71], heterogeneously dense (OR, 1.09; 95% CI, 0.64-1.85), or extremely dense (OR, 0.93; 95% CI, 0.48-1.78) compared with scattered fibroglandular. In analyses restricted to fertility drug users, each additional month after the date of dispensing was associated with a 13% (95% CI for the OR, 1.01-1.27) increased odds of being categorized as heterogeneously/extremely dense compared with entirely fat/scattered fibroglandular (P = 0.04). Our results indicate no overall association between fertility drug use and mammographic density, but provide evidence that density may be lower in women more recently dispensed a fertility drug.

Physical activity and survival after diagnosis of invasive breast cancer.

Previous studies suggest that increased physical activity may lower the risk of breast cancer incidence, but less is known about whether levels of physical activity after breast cancer diagnosis can influence survival. We prospectively examined the relation between postdiagnosis recreational physical activity and risk of breast cancer death in women who had a previous invasive breast cancer diagnosed between 1988 and 2001 (at ages 20-79 years). All women completed a questionnaire on recent postdiagnosis physical activity and other lifestyle factors. Among 4,482 women without history of recurrence at the time of completing the questionnaire, 109 died from breast cancer within 6 years of enrollment. Physical activity was expressed as metabolic equivalent task-hours per week (MET-h/wk); hazard ratios (HR) and 95% confidence intervals (95% CI) were estimated using Cox proportional hazards regression. After adjusting for age at diagnosis, stage of disease, state of residence, interval between diagnosis and physical activity assessment, body mass index, menopausal status, hormone therapy use, energy intake, education, family history of breast cancer, and treatment modality compared with women expending <2.8 MET-h/wk in physical activity, women who engaged in greater levels of activity had a significantly lower risk of dying from breast cancer (HR, 0.65; 95% CI, 0.39-1.08 for 2.8-7.9 MET-h/wk; HR, 0.59; 95% CI, 0.35-1.01 for 8.0-20.9 MET-h/wk; and HR, 0.51; 95% CI, 0.29-0.89 for > or =21.0 MET-h/wk; P for trend = 0.05). Results were similar for overall survival (HR, 0.44; 95% CI, 0.32-0.60 for > or =21.0 versus <2.8 MET-h/wk; P for trend <0.001) and were similar regardless of a woman's age, stage of disease, and body mass index. This study provides support for reduced overall mortality and mortality from breast cancer among women who engage in physical activity after breast cancer diagnosis.

Effects of stress and phenotypic variation on inbreeding depression in Brassica rapa.

Stressful environments are often said to increase the expression of inbreeding depression. Alternatively, Crow's "opportunity for selection" (the squared phenotypic coefficient of variation) sets a limit to how much selection can occur, constraining the magnitude of inbreeding depression. To test these hypotheses, we planted self- and cross-fertilized seeds of Brassica rapa into a factorial experiment that varied plant density and saline watering stresses. We then repeated the experiment, reducing the salt concentration. We observed considerable inbreeding depression, particularly for survival in the first experiment and growth in the second. Both stresses independently depressed plant performance. Families differed in their amounts of inbreeding depression and reaction norms across environments. Outcrossed progeny were sometimes more variable. Stresses had small and inconsistent effects on inbreeding depression and, when significant, tended to diminish it. Levels of phenotypic variability often predicted whether inbreeding depression would increase or decrease across environments and were particularly effective in predicting which traits display the most inbreeding depression. Thus, we find little support for the stress hypothesis and mixed support for the phenotypic variability hypothesis. Variable levels of phenotypic variation provide a parsimonious explanation for shifts in inbreeding depression that should be tested before invoking more complex hypotheses.