Agricultural producers have worse mental health than the general population; however, recent research has not considered differences in stressors and mental health conditions by gender. A survey was mailed to a random sample of farmers in Illinois to screen for symptoms of anxiety and depression and identify sources of stress and social support. Men experienced more stress related to environmental and economic conditions than women, while women tended to have slightly higher levels of geographic isolation stress than men. Overall, there were no significant differences by gender in the proportion meeting the criteria for depression or anxiety; however, the results are higher than what is observed in the general population. Among those farmers who experience higher levels of stress about geographic isolation, the odds for women farmers to experience depressive symptoms are four times more than men farmers (OR 4.46 (0.91, 21.8); p = 0.06). Additional research should examine the relationship between social support and mental health. Interventions to reduce stress by gender should be considered.

The COVID-19 pandemic disproportionately affected racial and ethnic minorities. Medical students were also particularly impacted as they coped with increased stressors due to delayed medical training and a high prevalence of mental health conditions. This study investigates mental health disparities of underrepresented in medicine (URM) students at the Saint Louis University School of Medicine (SLUSOM). An anonymous online survey was distributed to first- and second-year medical students at SLUSOM in February 2021. The survey queried demographic information, lifestyle factors, and pandemic-related and institutional concerns. Mental health was assessed via the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9). Statistical tests were run with SPSS, version 27. A convenience sample of 87 students responded to the survey. Students who were categorized as URM were significantly more likely to be at risk of major depressive disorder during the pandemic. Concern about a lack of financial support was significantly greater among students categorized as URM. Concerns regarding a lack of financial support, mental health support, and decreased quality of medical training significantly predicted PHQ-9 scores. Our findings revealed several key factors that may exacerbate mental health disparities among URM students during the pandemic. Providing adequate financial and academic resources for URMs may improve mental health outcomes for similar adverse events in the future.

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Background COVID-19 is a respiratory disease caused by SARS-CoV-2, a coronavirus discovered in 2019. Its impact on the world continues to be studied due to the significant death toll of the disease. As the COVID-19 pandemic remains ongoing, examining the association of COVID-19 with comorbidities and resulting mortality is necessary. This study focuses on population health outcomes with COVID-19 infection and hyperlipidemia (total cholesterol greater than or equal to 200 mg/dL) as a comorbidity, including potential associations with age and sex. Methods As a retrospective analytical study, patients were divided into three populations based on COVID-19 and/or hyperlipidemia based on the International Classification of Diseases, Tenth Edition (ICD-10) codes reported in the electronic medical record system at Freeman Health System (FHS) in Southwest Missouri from April 1, 2020, to December 31, 2021. Wald\'s methods and two sample proportion summary hypotheses with confidence intervals (CIs) were used for comparison. The populations were subdivided and analyzed for age and sex differences. Results Patients with both COVID-19 and hyperlipidemia had a higher mortality rate than patients with COVID-19 and without hyperlipidemia and patients with hyperlipidemia and without COVID-19; patients with COVID-19 and without hyperlipidemia had a higher mortality rate than patients with hyperlipidemia and without COVID-19. All comparisons across these populations were statistically significant (p-value < 0.05). While increased age was associated with increased mortality in all groups, sex was not predictive in this regard. Conclusion Our study provides insights into variables affecting COVID-19 outcomes in a rural Midwestern population by showing how the comorbidity hyperlipidemia contributes to increased mortality.

Background Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) produces the coronavirus disease of 2019 (COVID-19), primarily presenting with respiratory symptoms, including cough, shortness of breath, etc. Respiratory failure can present similarly to a COVID-19 infection, and COVID-19 infection can cause respiratory failure. Thus, it is important to study respiratory failure, COVID-19, and the interaction between the two in hopes of improving patient outcomes. In this study, we compared mortality rates in patients admitted with COVID-19, respiratory failure, or both. Mortality rates in our study populations were further scrutinized based on patient age. Materials and methods Respiratory failure and COVID-19 data were collected via the electronic medical records system at Freeman Health System, a 410-bed, rural hospital, in Neosho and Joplin, Missouri, from April 2020 through December 2021. The patient population included all patients admitted to the hospital with a diagnosis of COVID-19 or respiratory failure, as defined by the International Classification of Disease, Tenth Revision (ICD-10). Patients with or without COVID-19, with or without respiratory failure, and patients with respiratory failure with COVID-19 were included. Results There was a significant increase in mortality (17.28%) in patients with COVID-19 and respiratory failure (P1) compared to patients with COVID-19 who did not have respiratory failure (P2). No significance was found when comparing patients with COVID-19 and respiratory failure (P1) and patients with respiratory failure without COVID-19 (P3) (p value=0.4921). In contrast, when divided based on age, we found a significant increase in mortality in patients 65 and older with COVID-19 and respiratory failure compared to patients 65 and older with respiratory failure who did not have COVID-19 (P5). There were no significant mortality increases in other comparisons. Conclusion When comparing patient populations within the Freeman Health System, patients with COVID-19 and respiratory failure had similar mortality rates as those with respiratory failure without COVID-19, while patients with only COVID-19 had a markedly reduced mortality rate, relatively. The higher mortality rates in patients with only respiratory failure when compared to patients with both respiratory failure and COVID-19 indicate that the presence of respiratory failure likely plays a bigger role in the inflammatory response that reduces one\'s chance of survival in this setting. Furthermore, age was shown to be a significant risk factor as patients aged 65 and older showed a greater mortality rate when patients had both COVID-19 and respiratory failure compared to patients with both conditions below the age of 65. The decrease in immune response that results in older patients is likely the largest contributing factor along with the increased likelihood of patients in this population also having more comorbidities, further decreasing the chance of survival. Future studies can investigate alternate treatment plans for patients aged 65 and older who are at higher risk of mortality with COVID-19 and respiratory failure.

OBJECTIVE: While women identifying as primary farmers have increased in the United States, there has not been research focused on the antecedents of stress and quality of life among women farmers in particular. This study set out to construct a Women Farmer Stress Inventory (WFSI), test its dimensionality, and assess its criterion-related validity by looking at its relationship with subjective wellbeing as measured by the Satisfaction with Life Scale (SWLS). We then examined sociodemographic and farm-level correlates to assess their relationship with stress.
METHODS: We utilized responses from a random sample of 592 Iowan women farmers who responded to a mailout survey that included the WFSI. We conducted exploratory factor analysis to identify the factorial structure of the WFSI, and used linear regression to evaluate how sociodemographic and farm-level characteristics were related to each factor.
RESULTS: The analysis revealed 5 unique factors that reflected different aspects of women farmer stress: time pressures and workload, environmental concern, external stressors from governments and market, interpersonal relationships, and rural amenities. All factors except rural amenities had high levels of internal consistency (Cronbach\'s alpha >0.80) and were validated using the external criteria of SWLS measures. Young age, being married, and engagement in off-farm work, and smaller farm size were associated with greater levels of stress across most domains.
CONCLUSIONS: The WFSI is a promising tool that shows high internal consistency and is validated with life satisfaction. Our study also finds certain sociodemographic and farm characteristics associated with different stress domains, which could inform both future research and community-based interventions.

OBJECTIVE: Rectal cancer treatment at high-volume centers is associated with higher likelihood of guideline-concordant care and improved outcomes. Whether rectal cancer patients are referred for treatment at high-volume hospitals may depend on diagnosing provider specialty. We aimed to determine associations of diagnosing provider specialty with treating provider specialty and characteristics of the treating facility for rectal cancer patients in Iowa.
METHODS: Rectal cancer patients identified using the Iowa Cancer Registry completed a mailed survey on their treatment experience and decision-making process. Provider type was defined by provider specialty and whether the provider referred patients elsewhere for surgery. Multivariable-adjusted logistic regression models were used to examine predictors of being diagnosed by a general surgeon who also performed the subsequent surgery.
RESULTS: Of 417 patients contacted, 381 (76%) completed the survey; our final analytical sample size was 267. Half of respondents were diagnosed by a gastroenterologist who referred them elsewhere; 30% were diagnosed by a general surgeon who referred them elsewhere, and 20% were diagnosed by a general surgeon who performed the surgery. Respondents who were ≥ 65 years old, had less than a college education, and who made < $50,000 per year were more likely to be diagnosed by a general surgeon who performed surgery. In multivariable-adjusted models, respondents diagnosed and treated by the same general surgeon were more likely to have surgery at hospitals with low annual colorectal cancer surgery volume and less likely to be satisfied with their care.
CONCLUSIONS: Among rectal cancer patients in Iowa, respondents who were diagnosed and treated by the same provider were less likely to get treatment at a high-volume facility. This study informs the importance of provider referral in centralization of rectal cancer care.

Transport of pigs between sites occurs frequently as part of genetic improvement and age segregation. However, a lack of transport biosecurity could have catastrophic implications if not managed properly as disease spread would be imminent. However, there is a lack of a comprehensive study of vehicle movement trends within swine systems in the Midwest. In this study, we aimed to describe and characterize vehicle movement patterns within one large Midwest swine system representative of modern pig production to understand movement trends and proxies for biosecurity compliance and identify potential risky behaviors that may result in a higher risk for infectious disease spread. Geolocation tracking devices recorded vehicle movements of a subset of trucks and trailers from a production system every 5 min and every time tracks entered a landmark between January 2019 and December 2020, before and during the COVID-19 pandemic. We described 6,213 transport records from 12 vehicles controlled by the company. In total, 114 predefined landmarks were included during the study period, representing 5 categories of farms and truck wash facilities. The results showed that trucks completed the majority (76.4%, 2,111/2,762) of the recorded movements. The seasonal distribution of incoming movements was similar across years (P > 0.05), while the 2019 winter and summer seasons showed higher incoming movements to sow farms than any other season, year, or production type (P < 0.05). More than half of the in-movements recorded occurred within the triad of sow farms, wean-to-market stage, and truck wash facilities. Overall, time spent at each landmark was 9.08% higher in 2020 than in 2019, without seasonal highlights, but with a notably higher time spent at truck wash facilities than any other type of landmark. Network analyses showed high connectivity among farms with identifiable clusters in the network. Furthermore, we observed a decrease in connectivity in 2020 compared with 2019, as indicated by the majority of network parameter values. Further network analysis will be needed to understand its impact on disease spread and control. However, the description and quantification of movement trends reported in this study provide findings that might be the basis for targeting infectious disease surveillance and control.

BACKGROUND: Studies have linked pre-existing kidney disease (KD) to higher rates of mortality due to coronavirus disease 2019 (COVID-19) infection. In the rural Midwest, where KD is prevalent, the impact of COVID-19 has been significant in a population that includes many patients on Medicare or Medicaid.
METHODS: A retrospective cohort study was performed assessing patients with acute kidney injury (AKI), chronic kidney disease (CKD) and end stage renal disease (ESRD), with and without COVID-19. International Classification of Diseases 10th Revision codes were submitted by physicians into Freeman Health System\'s Electronic Medical Records and gathered from April 2020 to January 2021. The data were analyzed and compared to determine whether the mortality rate in patients with varying stages of KD and COVID-19 was higher than the mortality rate in patients with KD alone, excluding variables such as sex and age.
RESULTS: The 95% confidence interval (CI) of the mortality rate of patients with COVID-19 and any degree of KD, encompassing both AKI and CKD, was between 30.21% and 37.63%. This metric was significantly higher than the 95% CI of COVID-19 infection (6.70%-9.96%, p<0.0001) or KD alone (10.89%-13.01%, p<0.0001). Within those with COVID-19 and KD, the highest rate of mortality was in patients with AKI (38.13% and 49.02%). There was not sufficient statistical support in our sample to assert that COVID-19 increased mortality in ESRD patients.
CONCLUSIONS: Based on our results, patients with KD and COVID-19 are at higher risk for mortality when compared to patients with KD alone. Further studies are warranted into individual comorbidities affecting KD patient outcomes with COVID-19.

OBJECTIVE: The gold standard for breast cancer screening and prevention is regular mammography; thus, understanding what impacts adherence to this standard is essential in limiting cancer-associated costs. We assessed the impact of various understudied sociodemographic factors of interest on adherence to the receipt of regular mammograms.
METHODS: A total Nc = 14,553 mammography-related claims from Nw = 6,336 female Kansas aged between 45 and 54 were utilized from insurance claim databases furnished by multiple providers. Adherence to regular mammography was quantified continuously via a compliance ratio, used to capture the number of eligible years in which at least one mammogram was received, as well as categorically. The relationship between race, ethnicity, rurality, insurance (public/private), screening facility type, and distance to nearest screening facility with both continuous and categorically defined compliance were individually assessed via Kruskal-Wallis one-way ANOVAs, chi-squared tests, multiple linear regression models, and multiple logistic regression, as appropriate. Findings from these individual models were used to inform the construction of a basic, multifaceted prediction model.
RESULTS: Model results demonstrated that all factors race and ethnicity had at least some bearing on compliance with screening guidelines among mid-life female Kansans. The strongest signal was observed in the rurality variable, which demonstrated a significant relationship with compliance regardless of how it was defined.
CONCLUSIONS: Understudied factors that are associated with regular mammography adherence, such as rurality and distance to nearest facility, may serve as important considerations when developing intervention strategies for ensuring that female patients stick to prescribed screening regimens.