• Pregnant women with depression are at increased risk of perinatal depression (PND). • PND prevalence higher among pregnant women without routine place of care. • Women without paid sick leave and routine place of care had higher odds of PND. • Access to mental health services during pregnancy is necessary.

Background: Lung cancer (LC) continues to be the leading cause of cancer deaths in the United States. Surgical treatment has proven to offer a favorable prognosis and a better 5‐year relative survival for patients with early or localized tumors. This novel study investigates the factors associated with the odds of receiving surgical treatment for localized malignant LC in Tennessee.Methods: Population‐based data of 9679 localized malignant LC patients from the Tennessee Cancer Registry (2005–2015) were utilized to examine the factors associated with receiving surgical treatment for localized malignant LC. Bivariate and multivariate logistic regression analyses, cross‐tabulation, and Chi‐Square (²) tests were conducted to assess these factors.Results: Patients with localized malignant LC who initiated treatment after 2.7 weeks were 46% less likely to receive surgery (adjusted odds ratio [AOR] = 0.54; 95% confidence interval [CI] = 0.50–0.59; p < 0.0001). Females had a greater likelihood (AOR = 1.14; CI = 1.03–1.24) of receiving surgical treatment compared to men. Blacks had lower odds (AOR = 0.76; CI = 0.65–0.98) of receiving surgical treatment compared to Whites. All marital groups had higher odds of receiving surgical treatment compared to those who were single/never married. Patients living in Appalachian county had lower odds of receiving surgical treatment (AOR = 0.65; CI = 0.59–0.71) compared with those in the non‐Appalachian county. Patients with private (AOR = 2.09; CI = 1.55–2.820) or public (AOR = 1.42; CI = 1.06–1.91) insurance coverage were more likely to receive surgical treatment compared to self‐pay/uninsured patients. Overall, the likelihood of patients receiving surgical treatment for localized malignant LC decreases with age.Conclusion: Disparities exist in the receipt of surgical treatment among patients with localized malignant LC in Tennessee. Health policies should target reducing these disparities to improve the survival of these patients.

Background: Early initiation of treatment for lung cancer has been shown to improve patient survival. The present study investigates disparities in time to treatment initiation of invasive lung cancer within and between Black and White patients in Tennessee. Methods: A population-based registry data of 42,970 individuals (Black = 4,480 and White = 38,490) diagnosed with invasive lung cancer obtained from the Tennessee Cancer Registry, 2005–2015, was analyzed. We conducted bivariate ANOVA tests to examine the difference in time to treatment initiation among independent factors, and multivariable Cox proportional hazard models to identify independent factors that influence median time to treatment initiation after diagnosis. Results: When considering the estimate of the proportion of time to treatment initiation based on the combined influence of all independent factors (sex, age, race, marital, county of residence, health insurance, cancer stage, and surgical treatment), Black patients were generally more at risk of delayed treatment compared to Whites. Black patients aged <45 years (adjusted hazard ratio [aHR] = 1.40; 95% confidence interval [CI] = 1.01–1.94) and married White patients (aHR = 1.13; 95% CI = 1.07–1.18) had the highest increased risk of late treatment among their respective racial subgroups. In the general sample, patients with private health insurance had (aHR = 1.08; 95% CI = 1.01–1.16) higher risk of late treatment beyond 2.7 weeks compared to self-pay/uninsured patients. This was consistent among both Black and White subsamples. Patients with localized and regional lung cancer stages had a decreased risk of delayed treatment compared to those diagnosed at the distant stage among both Black and White patients. Conclusions: Black patients were often at greater risk of late initiation of treatment for invasive lung cancer in Tennessee. Additional research is needed to understand factors influencing time to treatment initiation for Black patients in Tennessee. Further, cancer care resources are needed in Black communities to ensure timely treatment of invasive lung cancer, reduce disparities, and promote equitable care for all cancer patients.

With the increasing prevalence of hypertension-related cardiovascular deaths and depression, this study examined the associations of depression with hypertension, citizenship status, and interaction of hypertension and citizenship status among U.S. adults. Data from the 2015-2018 National Health Interview Survey (NHIS), including 63,985 individuals, were analyzed. Depression status was the outcome, with hypertension and U.S. citizenship status as the main independent variables. Using odds ratio (OR) estimates, we evaluated the associations between hypertension and depression, and citizenship status. The result indicates that a higher proportion of U.S. adults with hypertension reported depression compared to those who did not have hypertension (42.9 % vs. 37.5 %). In terms of U.S. citizenship status, a higher proportion of U.S. citizens reported depression than non-citizens (39.6 % vs. 31.6 %). However, non-citizens with hypertension were more likely to report depression compared to U.S. citizens without hypertension (OR = 1.46; 95 % CI = 1.15, 1.86). While hypertension marginally increased the odds of depression among the general U.S. population, being a non-U.S. citizen with hypertension significantly increased the risk of depression by 46 %. The findings imply that the healthy immigrant paradox, in the context of hypertension-depression prevention and control, may not apply to non-citizens with hypertension. We therefore recommend community-based screenings and more tailored interventions to address these health disparities while taking into consideration the unique cultural norms, behaviors and healthcare barriers encountered by specific immigrant communities.

As the online market grows rapidly, people are relying more on product review when they purchase the product. Hence, many companies and researchers are interested in analyzing product review which essentially a text data. In the current literature, it is common to use only text analysis tools to analyze text dataset. But in our work, we propose a method that utilizes both text analysis method such as topic modeling and statistical network model to build network among individuals and find interesting communities. We introduce a promising framework that incorporates topic modeling technique to define the edges among the individuals and form a network and uses stochastic blockmodels (SBM) to find the communities. The power of our proposed method is demonstrated in real-world application to Amazon product review dataset.