Obesity is associated with decreased risk of microscopic colitis in women

BACKGROUND Microscopic colitis is a leading cause of diarrhea in the older adults. There is limited information about risk factors. We hypothesized that obesity would be associated with microscopic colitis. AIM To examine the association between obesity and microscopic colitis in men and women undergoing colonoscopy. METHODS We conducted a case-control study at the University of North Carolina Hospitals. We identified and enrolled men and women referred for elective, outpatient colonoscopy for chronic diarrhea. We excluded patients with a past diagnosis of Crohn's disease or ulcerative colitis. A research pathologist reviewed biopsies on every patient and classified them as microscopic colitis cases or non-microscopic colitis controls. Patients provided information on body weight, height and exposure to medications via structured interviews or Internet based forms. The analysis included 110 patients with microscopic colitis (cases) and 252 nonmicroscopic colitis controls. Multivariable analyses were performed using logistic regression to estimate odds ratios and 95% confidence intervals. RESULTS Cases were older and more likely than controls to be white race. Study subjects were well educated, but cases were better educated than controls. Cases with microscopic colitis had lower body mass index than controls and reported more weight loss after the onset of diarrhea. Compared to patients who were normal or under-weight, obese (BMI > 30 kg/m2) patients were substantially less likely to have microscopic colitis after adjusting for age and education, adjusted OR (aOR) 0.35, 95% confidence interval (CI) 0.18-0.66). When stratified by sex, the association was limited to obese women, aOR 0.21, 95%CI: 0.10-0.45. Patients with microscopic colitis were more likely to report weight loss after the onset of diarrhea. After stratifying by weight loss, there remained a strong inverse association between obesity and microscopic colitis, aOR 0.33, 95%CI: 0.10 - 1.11 among the patients who did not lose weight. Ever use of birth control pills was associated with lower risk of microscopic colitis after adjusting for age, education and BMI, aOR 0.38, 95%CI: 0.17-0.84. CONCLUSION Compared to controls also seen for diarrhea, microscopic colitis cases were less likely to be obese. Mechanisms are unknown but could involve hormonal effects of obesity or the gut microbiome

Selenium modifies associations between multiple metals and neurologic symptoms in Gulf states residents

Background: Metals have been shown to have a wide range of neurologic effects across the life course, but most studies consider neurodevelopment or neurodegenerative diseases in older adults. We investigated exposure to metals during adulthood in association with subclinical neurologic endpoints, considering the metals individually and as a mixture, and potential interactions among exposures. Methods: We measured blood levels of cadmium, lead, mercury, manganese, and selenium in 1007 Gulf state residents and estimated cross-sectional associations between ranked levels of blood metals and the presence of self-reported neurologic symptoms. Single pollutant models were mutually adjusted for other metals and we used quantile g-computation to evaluate associations with exposure to the combined mixture. In stratified analyses, we assessed heterogeneity by smoking and blood selenium. Results: The highest quartile of cadmium was associated with a higher prevalence of central nervous system symptoms (prevalence ratio [PR] = 1.50; 95% confidence interval [CI] = 1.13, 1.99), with stronger associations among nonsmokers (PR = 1.63; 95% CI = 1.11, 2.38) and those with low selenium (PR = 2.29, 95% CI = 1.50, 3.49). Selenium also modified associations between lead and peripheral nervous system symptoms, with increased symptoms in the low selenium group at all quartiles of exposure (P-trend = 0.07). Conversely, those with the highest co-exposure to mercury and selenium had reduced neurologic symptoms (PR = 0.73, 95% CI = 0.55, 0.96). Results of the mixture analysis were consistent with single chemical results. Conclusions: Cadmium exhibited the most consistent relationship with increased neurologic symptoms, though lead was an important exposure in subgroup analyses. Selenium may modify subclinical neurotoxic effects of metals at non-occupational levels in adults

Ambient particulate matter, ozone, and neurologic symptoms in U.S. Gulf states adults

Research on neurologic effects of air pollution has focused on neurodevelopment or later-life neurodegeneration; other effects throughout adulthood have received less attention. We examined air pollution levels and neurologic symptoms among 21,467 adults in US Gulf Coast states. We assigned exposure using Environmental Protection Agency estimates of daily ambient particulate matter 2.5 (PM2.5) and ozone. Gulf Long-term Follow-up Study participants reported neurologic symptoms at enrollment (2011-2013). We estimated cross-sectional associations between each air pollutant and prevalence of "any" neurologic, central nervous system (CNS), or peripheral nervous system (PNS) symptoms. Ambient PM2.5was consistently associated with prevalence of neurologic symptoms. The highest quartile of 30-day PM2.5was associated with any neurologic symptom (prevalence ratio [PR] = 1.16; 95% confidence interval [CI] = 1.09, 1.23) and there were increasing monotonic relationships between 30-day PM2.5and each symptom category (P-trend ≤ 0.01). Associations with PM2.5were slightly stronger among nonsmokers and during colder seasons. The highest quartile of 7-day ozone was associated with increased prevalence of PNS symptoms (PR = 1.09; 95% CI = 1.00, 1.19; P-trend = 0.03), but not with other outcomes. Ozone concentrations above regulatory levels were suggestively associated with neurologic symptoms (PR = 1.06; 95% CI = 0.99, 1.14). Mutual adjustment in co-pollutant models suggests that PM2.5is more relevant than ozone in relation to prevalence of neurologic symptoms

Risk versus Benefit of Chemoprevention among Raloxifene and Tamoxifen Users with a Family History of Breast Cancer

Tamoxifen and raloxifene have been approved for the primary prevention of breast cancer in high-risk women, but are associated with an increased risk of serious side effects. Few studies have characterized risk–benefit profiles for chemoprevention among women who initiate tamoxifen or raloxifene outside of a clinical trial setting. Use of raloxifene and tamoxifen for chemoprevention was self-reported in 2014 to 2016 by participants in The Sister Study, a prospective cohort of women with a sister who had been diagnosed with breast cancer. After exclusions, 432 current raloxifene users and 96 current tamoxifen users were matched to 4,307 and 953 nonusers, respectively, on age and year of cohort enrollment. Conditional logistic regression was used to evaluate characteristics associated with chemoprevention use. Risk–benefit profiles were examined using published indices that assess the level of evidence (none, moderate, strong) that the benefits of chemoprevention outweigh the risk of serious side effects. Among current chemoprevention users, 44% of tamoxifen users and 5% of raloxifene users had no evidence of a net benefit. In analyses of factors associated with chemoprevention use, having strong evidence of benefit was a significant predictor of raloxifene use, but not of tamoxifen use. In our sample of women with a first-degree family history of breast cancer, raloxifene was more commonly used for breast cancer prevention than tamoxifen. Most raloxifene users, but <60% of tamoxifen users, were likely to benefit. Use of risk–benefit tables can help women and their healthcare providers make an informed decision about breast cancer chemoprevention

Breast cancer and exposure to tobacco smoke during potential windows of susceptibility

Purpose: An association between smoking and breast cancer is unresolved, although a higher risk from exposure during windows of susceptibility has been proposed. The objective of this prospective study was to evaluate the association between tobacco smoke and breast cancer with a focus on timing of exposure, especially during early life. Methods: Sister study participants (n = 50,884) aged 35–74 were enrolled from 2003 to 2009. Women in the United States and Puerto Rico were eligible if they were breast cancer-free but had a sister with breast cancer. Participants completed questionnaires on smoking and environmental tobacco smoke (ETS) exposure. Cox regression was used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (95% CIs) for breast cancer risk. Results: During follow-up (mean = 6.4 years), 1,843 invasive breast cancers were diagnosed. Neither active smoking nor adult ETS was associated with breast cancer risk. However, never smoking women exposed to ETS throughout their childhood had a 17% higher risk of breast cancer (95% CI 1.00–1.36) relative to those with no exposure. In utero ETS exposure was also associated with breast cancer (HR = 1.16, 95% CI 1.01–1.32) and the HR was most elevated for women born in earlier birth cohorts (<1940, HR = 1.44, 95% CI 1.02–2.02; 1940–1949, HR = 1.28, 95% CI 1.01–1.62). Conclusion: In utero ETS and ETS exposure during childhood and adolescence were associated with increased risk of breast cancer and associations varied by birth cohort

Adult physical activity and breast cancer risk in women with a family history of breast cancer

Background: Recreational physical activity has been consistently associated with reduced breast cancer risk. Less is known about how family history of breast cancer affects the association and whether it varies by menopausal status. Methods: The Sister Study is a cohort of 50,884 women who had a sister with breast cancer but no prior breast cancer themselves at enrollment. Women reported all recreational sport/exercise activities they participated in over the past 12 months. Hours/week and MET-hours/week of physical activity were considered in association with breast cancer risk. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated with Cox regression. Extent of family history, examined as a modifier, was characterized by a Bayesian score incorporating characteristics of the family structure. Results: During follow-up (average 8.4 years), 3,023 cases were diagnosed. Higher hours/week (HR ≥7vs&lt;1 = 0.77; 95% CI, 0.66–0.90) and MET-hours/week (HR quartile4vs1 = 0.75; 95% CI, 0.67–0.85) of physical activity were associated with reduced postmenopausal breast cancer risk. Hours/week and MET-hours/week were associated with suggestively increased premenopausal breast cancer risk (MET-hours/week HR quartile4vs1 = 1.25; 95% CI, 0.98–1.60). Associations did not vary with extent of family history. However, the increased risk in premenopausal women may be limited to those with stronger family history. Conclusions: In women with a family history of breast cancer, physical activity was associated with reduced postmenopausal, but not premenopausal, breast cancer risk and was not modified by extent of family history. Impact: This was the first study to examine the association between physical activity and breast cancer risk in a large population with a family history of breast cancer

Oxidative Stress and Breast Cancer Risk in Premenopausal Women

Detrimental effects of oxidative stress are widely recognized, but induction of apoptosis and senescence may also have benefits for cancer prevention. Recent studies suggest oxidative stress may be associated with lower breast cancer risk before menopause. Methods: We conducted a nested case-control study (N = 457 cases, 910 controls) within the NIEHS Sister Study cohort of 50,884 women. Premenopausal women ages 35-54 were eligible for selection. We matched controls 2:1 to cases on age and enrollment year and were breast cancer-free at the time of the corresponding case's diagnosis. Oxidative stress was measured by urinary F2-isoprostane and metabolite (15-F2t-isoprostane-M) concentrations. Odds ratios (OR) and 95% confidence intervals (CIs) were calculated with multivariable conditional logistic regression. Results: After multivariable adjustment for body mass index (BMI) and other potential confounders, the OR for breast cancer comparing the &gt;90th (≥2.94 ng/mgCr) to &lt;25th percentile (1.01 ng/mgCr) was 1.1 (CI: 0.65, 1.7) for F2-isoprostane and 0.70 (CI: 0.43, 1.1) for the metabolite. Higher metabolite concentrations were associated with lower breast cancer risk among women who were also premenopausal (353 cases, OR: 0.59, CI: 0.34, 1.0) or &lt;46 years (82 cases, OR: 0.15, CI: 0.06, 0.42) at diagnosis. ORs for the metabolite and breast cancer were inverse among women with BMI 18.5-24.9 kg/m2 (OR: 0.47, CI: 0.18, 1.2, 208 cases) and &gt;30 kg/m2 (OR: 0.71, CI: 0.30, 1.7, 107 cases), but not among women with BMI 25-29.9 kg/m2 (OR: 0.98, CI: 0.39, 2.5, 138 cases). Conclusions: Together with other studies, our results support a possible inverse association between oxidative stress and premenopausal breast cancer risk

Mental health indicators and lung function following a large oil spill

To the Editor: Natural and anthropogenic disaster-related experiences can exacerbate background stressors, which may lead to negative mental health outcomes. However, few studies have assessed mental health indicators related to measured lung function in the aftermath of a disaster. In 2010 the Deepwater Horizon disaster resulted in the largest maritime oil spill in US history and negatively affected proximal communities, which experienced increased distress and post-traumatic stress disorder(PTSD)-like symptoms attributed to the disaster. We investigated the relationship between mental health indicators and lung function following this disaster

A joint spatial factor analysis model to accommodate data from misaligned areal units with application to Louisiana social vulnerability

With the threat of climate change looming, the public health community has an interest in identifying communities at the highest risk of devastation based not only on geographic features but also on social characteristics. Indices of community social vulnerability can be created by applying a spatial factor analysis to a set of relevant social variables measured for each community; however, current spatial factor analysis methodology is ill-equipped to handle spatially misaligned data.We introduce a joint spatial factor analysis model that can accommodate spatial data from two distinct partitions of a geographic space and identify a common set of latent factors underlying them. By defining the latent factors over the intersection of the two partitions, the model minimizes loss of information. Using simulated data constructed to mimic the spatial structure of our real data, we confirm the reliability of the model and demonstrate its superiority over competing ad hoc methods for dealing with misaligned data in spatial factor analysis. Finally, we construct an index of community social vulnerability for each census tract in Louisiana, a state prone to environmental disasters, which could be exacerbated by climate change, by applying the joint spatial factor analysis model to a set of misaligned social indicator data from the state. To demonstrate the utility of this index, we integrate it with Louisiana flood insurance claims data to identify communities that may be at particularly high risk during natural disasters, based on both social and geographic features

Cardiovascular disease risk factors and oxidative stress among premenopausal women

Oxidative stress is one hypothesized mechanism linking anthropometric, behavioral, and medical risk factors with cardiovascular disease (CVD). We evaluated cross-sectional associations between CVD risk factors and biomarkers of oxidative stress, and investigated these biomarkers as predictors of incident diabetes and hypertension among premenopausal women. F 2 -isoprostane (F 2 -IsoP) and metabolite (15-F 2t -IsoP-M), reliable biomarkers of oxidative stress, were measured in urine samples collected at enrollment from 897 premenopausal women (ages 35–54) enrolled in the Sister Study cohort without a CVD history. Blood pressure, waist circumference, and body mass index (BMI) were measured at enrollment by trained study personnel. Diabetes and cigarette smoking were self-reported via enrollment questionnaires. Over a maximum follow-up of 11.5 years, participants self-reported incident diabetes and hypertension diagnoses on mailed questionnaires. In cross-sectional analyses, both F 2 -IsoP and 15-F 2t -IsoP-M were positively associated with BMI, waist circumference, diastolic blood pressure, and current smoking. F 2 -IsoP was elevated among those with diabetes, and 15-F 2t -IsoP-M increased with higher systolic blood pressure. Prospective analyses suggested an increased hypertension risk among those with elevated 15-F 2t -IsoP-M (highest vs. lowest quartile: hazard ratio=2.34; 95% CI: 1.20–4.56). Our results suggest that urinary F 2 -IsoP and 15-F 2t -IsoP-M are positively associated with adiposity measures, blood pressure, and cigarette smoking. Further investigation is warranted to evaluate 15-F 2t -IsoP-M as a predictor of hypertension