Cancer fatalism, which can be understood as the belief that cancer is a death sentence, has been found to be a deterrent to preventive cancer screening participation. This study examines factors associated with breast cancer fatalism among women. We analyzed data from a 2003 survey of women 40 years of age. The survey collected information about respondents' knowledge and attitudes regarding breast health. Analyses compared the characteristics of women who reported and those who did not report a fatalistic attitude. omen with a fatalistic attitude were more likely to be African American, to have a family history of breast cancer, to rate their quality of care as fair or poor, to believe that not much could be done to prevent breast cancer, to believe that breast cancer could not be cured if found early, and to believe that treatment could be worse than the disease.

This study investigated the risk factors for workplace sexual harassment in South Korea using cross-sectional data of the 2014 and 2017 Korean Working Conditions Survey (KWCS). A generalized linear model specified with a Poisson distribution and log link function was performed. Females, younger adults, jobs in services or sales, tasks that involve visiting places where clients reside, and significant work time contribution to customers were associated with increased gender harassment and unwanted sexual attention. Evidence suggests that third parties and male-oriented culture may pose a serious threat to healthy working conditions.

BACKGROUND: Although prior studies have established the association of asthma with smoking and obesity, literature on difference-in-differences analyses involving sexual identity is sparse. Therefore, this study aimed to examine the between and within sexual identity-group differences in asthma prevalence among individuals who smoke and are obese. METHODS: We aggregated the 2017-2019 National Survey on Drug Use and Health data on adults ( = 128,319) to perform weighted multivariable logistic regression analysis and marginal estimates and marginsplot to determine asthma prevalence by sexual identity and the status of smoking and obesity. RESULTS: About 66% of the study population reported having asthma. Among the individuals with asthma, 42% were obese, 10% were daily cigarette smokers, and 6% identified as bisexual persons. Lesbian/gay daily smokers (86%) or former smokers (75%) had a higher probability of having asthma than bisexual (daily smokers = 78% vs former smokers = 72%) and heterosexual (daily smokers = 68% vs former smokers = 65%) persons. Within each sexual identity subgroup, daily smokers (68-86%) had the highest probability of asthma. Obese bisexual (73%) or lesbian/gay (72%) persons had higher probabilities of having asthma than heterosexual persons (69%). Obese (73%) or overweight (72%) bisexual (compared to normal weight = 70% or underweight = 51%) and obese (69%) or overweight (65%) heterosexual (compared to normal weight = 62% or underweight = 57%) persons had the highest probabilities of having asthma within their groups, whereas overweight persons (overweight = 81% vs underweight = 79%, normal weight = 78%, and obese = 72%) had the highest probabilities within lesbian/gay persons. CONCLUSIONS: Smoking and obesity show heightened odds for asthma, with significant odds for sexual minorities in asthma diagnosis relative to heterosexuals. These findings provide formative information for future longitudinal and experimental studies to explore these mechanisms of asthma risks among sexual and gender minorities.

Background: Environmental exposures acting through different mechanisms have been linked with a number of cancers. Perfluoroalkyl chemicals (PFCs) are endocrine disrupting chemicals affecting estrogen homeostasis. Objectives: We examined the association between PFCs and a group of estrogen related cancers and explored if increased non-occupational exposure was associated with increased odds of developing these cancers. We also explored which of these chemical exposures was more correlated with each cancer. Methods: Using data from the National Health and Nutrition Examination Survey (NHANES), we selected participants ≥ 20 years of age. Our outcome variable was presence or absence of breast, prostate, ovarian and uterine cancer (yes/no); our exposure variables were serum PFCs. Logistic regression models were used in investigating the association between PFCs and cancer types and between quartiles of PFCs exposure concentrations and presence or absence of cancer while adjusting for covariates. Discriminant analysis was used to assess the correlation between individual PFCs compounds and individual cancer types. Results: PFCs were associated with increased odds of ovarian cancer; PFOA: 1.02(1.01, 1.02), PFOS: 1.01 (1.012, 1.013), PFHS 1.031 (1.030, 1.033), PFDE: 1.29(1.27, 1.30) and increased odds of breast cancer; PFOA: 1.089(1.089, 1.09), PFOS: 1.011(1.011, 1.011), PFNA: 1.031(1.030, 1.033), PFHS: 1.02 (1.02, 1.02), PFDE: 1.19(1.18, 1.19). PFCs were not associated with increased odds of prostate or uterine cancers. Comparing the odds in quartile 4 to quartile 1 for ovarian cancer, PFOA: 1.77(1.75,1.79), PFOS: 2.25(2.22, 2.28), PFHS: 1.86(1.84, 1.88), PFDE: 2.11(2.09, 2.14). For breast cancer, PFOA: 2.30(2.28, 2.31), PFOS: 1.47(1.46, 1.48), PFNA: 1.04(1.03, 1.05), PFHS:7.07(6.97,7.17), PFDE: 1.38(1.37, 1.39). PFOA was more correlated with breast cancer (0.7) and PFHS was more correlated with ovarian cancer (0.9). Discussion: PFCs were associated with increased odds of ovarian and breast cancers with a positive dose-response relationship. PFOA was more correlated with breast cancer and PFHS more with ovarian cancer.

Objectives: As social determinants of health, mortgage possessions (primarily foreclosures in the US context) and housing instability have been associated with certain mental and physical health outcomes at the individual level. However, individual risks of foreclosure and of poor health are spatially patterned. The objective of this study is to examine the extent to which area-specific social and economic characteristics help explain the relationship between mortgage possessions and obesity prevalence in 75 of the 100 most populous US metropolitan areas. Study design: This is a cross-sectional study. Methods: The study relies on three sources of data: the Selected Metropolitan/Micropolitan Area Risk Trends (SMART) project, RealtyTrac foreclosure data, and the American Community Survey. Focal social and economic characteristics include foreclosure rates, levels of racial residential segregation, and poverty. Obesity prevalence and several control measures for each metropolitan area are also used. Ordinary least squares regression, weighted using the SMART project data, is used, and statistical significance is set at 0.05. Results: The results suggest that mortgage possessions are independently associated with higher obesity prevalence and that foreclosures operate through the specific channel of racial residential segregation and its tie to the racial composition of a metropolitan area. Socio-economic status of an area, and not poverty, is related to foreclosures and obesity prevalence. Conclusion: Mortgage possessions not only are socio-economic but also have negative health consequences, such as obesity. The findings provide an empirical base for other researchers to uncover the relationships between segregation, mortgage possessions, and obesity at the individual level of analysis. The public health community should be engaged in addressing the issue of foreclosures in the US because the failure to engage may have broad financial and health consequences across large cities.

This study investigated the risk factors for workplace sexual harassment in South Korea using cross-sectional data of the 2014 and 2017 Korean Working Conditions Survey (KWCS). A generalized linear model specified with a Poisson distribution and log link function was performed. Females, younger adults, jobs in services or sales, tasks that involve visiting places where clients reside, and significant work time contribution to customers were associated with increased gender harassment and unwanted sexual attention. Evidence suggests that third parties and male-oriented culture may pose a serious threat to healthy working conditions.

Objectives: Understanding the impact of poverty on health can inform efforts to target social programs and regional economic development. This study examined the effects of poverty on health among the 95 counties of Tennessee. Methods: All of the counties of Tennessee were ranked by 5-year median household income, from the wealthiest to the poorest. The counties were divided into quintiles, from wealthiest to poorest, to reflect the general impact of wealth on health. Next, the five wealthiest counties and the five poorest counties were identified, allowing for examination of the extremes of poverty and wealth within Tennessee. Comparisons of quintiles and five wealthiest and poorest counties on key measures were performed using the independent t test. Results: People living in the wealthiest quintile lived on average 2.5 to 4 years longer and had lower rates of all health behaviors and health outcomes investigated compared with those in the poorest quintile. This disparity was even more pronounced when comparing the wealthiest five counties to the poorest five. The five poorest counties, for example, had twice the years of potential life lost and were overwhelmingly rural in character, with similar accompanying disparities such as median income, high unemployment, and a more aged population. Conclusions: This study highlights the fact that lower income is associated with significantly worse health outcomes in Tennessee and reinforces the importance of economic development, specifically, and addresses the social determinants, more generally, in helping to improve Tennessee's overall health statistics.

Background: The Healthy People 2020 goal for the public health system is “to ensure that Federal, State, Tribal, and local health agencies have the necessary infrastructure to effectively provide essential public health services.” To address this goal, Missouri established the first statewide, voluntary accreditation program of local health departments (LHDs) and began accrediting the LHDs in 2003. The purpose of this study was to identify organizational, structural, and workforce factors related to accreditation status of LHDs in Missouri. Methods: Using data from the National Association of County & City Health Officials (2010) and the Missouri Department of Health & Senior Services (2012), binary logistic regression analysis was performed to predict accreditation status of LHDs. Likelihood ratio tests were used to examine whether the addition of each predictor added significantly to the model compared with a model including total revenues alone. Adjusted odds ratios (aORs), 95% confidence intervals, the significance level of the likelihood ratio test, and the overall Nagelkerke pseudo-R2 for each model are reported. Results: Having a community health improvement plan (aOR = 6.2), a strategic plan (aOR = 7.9), evaluating programs (aOR = 3.6), being in a region with a high proportion of accredited LHDs (aOR = 5.5), and participating in multijurisdictional collaborations (aOR = 6.4) all increased the likelihood of accreditation. Barriers of time (aOR = 0.1) and cost (aOR = 0.3) were negatively associated with accreditation. Conclusions: Accredited LHDs were more likely to have completed the prerequisites for accreditation and collaborate with other LHDs. These activities help LHDs meet the accreditation standards. In addition, with shrinking budgets, LHDs will need additional financial and technical support to achieve accreditation. Assisting LHDs to find ways to increase the staff is important. Through collaborations with other LHDs, regional or multicounty positions can be created. Also collaborations with universities, specifically colleges or schools of public health, can provide opportunities for internships at LHDs giving practical experience while providing important assistance to LHDs.

Needs assessment--Cost analysis--Modeling--Pilot studies--Sample programs--Training programs--Communication.

Needs assessment--Cost analysis--Modeling--Pilot studies--Sample programs--Training programs--Communication.