Chronic Disease Risk Factors among Women in Tennessee

Background: Tennessee has been disproportionally burdened with high levels of chronic disease and poor overall health. About 14% of adults in Tennessee have three or more of the following chronic health conditions: arthritis, asthma, chronic kidney disease, chronic obstructive pulmonary disease, cardiovascular disease (heart disease, heart attack or stroke), cancer (excluding skin), depression and diabetes. Prior studies have found associations between multiple risk factors and chronic diseases, however, less is known about risk factors specific to women. This study aimed to close that knowledge gap. Methods: We used cross-sectional data from the 2019 Behavioral Risk Factor Surveillance System, a nationally representative U.S. telephone-based survey of adults aged 18 years or older for the State of Tennessee (n=6,242). Logistic regression analyses were conducted to test the association between gender and chronic disease status. We coded chronic disease as 1, 2 or more, and 0 (referent). We controlled for the past month\u27s alcohol use, income, race, educational status, and age. Results: Overall, 52.6% of females, and 56.9% of males reported at least one chronic disease, while 24.5% of males and 22.7% of females reported 2 or more chronic diseases. Among females, less than high school education (RRR=2.97, 95% CI, 1.97, 3,74), lifetime smoked \u3e100 cigarettes (RRR=2.30, 95% CI, 1.90, 3,01), low income (RRR=1.43, 95% CI, 1.19, 1.78) were associated with a higher risk of 2 or more chronic disease. Conclusions: The high prevalence of multiple chronic diseases is one of the major health challenges faced by the residents of Tennessee. Among the female population, less than high school education, lifetime smoking of \u3e100 cigarettes, low income was significantly associated with a higher risk of 2 or more chronic diseases. These findings underscore the need for a more comprehensive and targeted effort to address chronic disease among women, particularly amongst underserved, low-income populations. These include protection policies that encourage healthy eating, regular physical activity, more stringent smoking laws, and curb alcohol intake

Comorbidities Predict Length of Stay Among Patients Admitted with Peripheral Artery Disease– An Analysis of The National Inpatient Sample.

The global prevalence of peripheral artery disease (PAD) is estimated to be about 120 million, making up about 25.6% of the worldwide burden of cardiovascular diseases (CVD). In the United States (U.S.), the prevalence of PAD is about 7%, representing nearly 8 million adults. There is a higher prevalence of disease in Blacks and non-Hispanic Whites, with approximately 30% of Blacks and 20% of non-Hispanic Whites developing PAD in their lifetime. The strong risk factors associated with PAD include smoking, diabetes, hypertension, age, and male sex. Our study aimed to estimate the effects of obesity, alcohol abuse, renal failure, and hypertension on patients’ length of stay (LOS) among patients admitted with a diagnosis of PAD. Using the 2012 U.S. National Inpatient Sample database, we included 336,790 patients with PAD as a separate comorbidity during their index admission. Our main outcome variable was patients’ total length of stay (LOS) during the index admission. We categorized LOS \u3c 1 into next day discharge (NDD) and LOS \u3e 1 into non-NDD. Our predictor variables were hypertension, obesity, alcohol abuse and renal failure. We ran descriptive statistics to delineate the baseline characteristics of our sample population, and bivariate analysis with t-test and chi-square analysis. Multivariable logistic regression was used to estimate odds of non-NDD given our comorbidities; obesity, hypertension, alcohol abuse, renal failure while adjusting for age, race, and sex. We reported frequencies, p-values, and odd ratios (ORs) at a 95% significance level with alpha at 0.05. Of our final sample, 54.8% were males while 45.2% were females and the mean age of patients was 71.7 + 12.8. Hypertension, obesity, alcohol abuse and renal failure were present in 75%, 12%, 3.4%, and 30.9% of patients, respectively. Majority (75%) of the patients were white, while Black and Hispanic patients made up 13.3% and 7.1%, respectively. In our adjusted model, we found that patients with hypertension had 12% lower odds of non-NDD (OR = 0.88, CI= 0.86-0.90, P\u3c0.0001) compared to those without hypertension, females had 20% increase in the odds of non-NDD compared to males (OR = 1.20, CI= 1.18-1.23, P\u3c0.0001), patients with obesity, alcohol abuse and renal failure had 39%, 43% and 45% increase in odds of non-NDD compared to those without these comorbidities. (OR = 1.39, CI= 1.34-1.44, P\u3c0.0001), (OR = 1.43, CI= 1.35-1.52, P\u3c0.0001), (OR = 1.45, CI= 1.42-1.49, P\u3c0.0001). Given the significant association between obesity, alcohol abuse, and renal failure with prolonged hospital stay in patients admitted to hospital with PAD, our study highlights the importance of adequate management of pre-existing patients\u27 comorbidities. This is expected to improve overall length of stay and total healthcare utilization and costs, among patients with PAD

Mental Health and Substance Use among Caregivers in Rural and Non-Metropolitan Areas

Approximately 1 in 5 adults in the U.S. identify as a caregiver. Caregiver is defined as providing care for friends, family members or others on a regular basis, who need medical care. Providing care may be rewarding, it may also be significant burden on the caregiver. Prior research has found that caregiver status has been linked to increase levels of stress. This may be of an increased burden in rural/non-metropolitan areas, where transportation is limited, along with other challenges including access to care, and other factors. The proposed study examines the association of caregiver status and substance use (marijuana, alcohol, and smoking) and depression among rural populations, using a nationally representative sample. We used cross-sectional data from the 2021 Behavioral Risk Factor Surveillance System a nationally representative U.S. telephone-based survey of adults over the age of 18 years and extracted data for non-metropolitan/rural counties. Logistic regression analyses were conducted separately to test the association between self-identified caregiver status and three outcomes, including depression, current marijuana use, and current alcohol use. We controlled for past month alcohol use, income, race, educational status, and age. Caregiver status was identified based on providing care or assistance to a friend of family member over the last 30 days. Overall, 21.7% (n=13,653) of our participants self-identified as a caregiver, while 19.5% reported depression, past month alcohol use (48.2%) , past month smoking (13.5%), and past month marijuana use (4.2%). Self-identified caregiver status was associated with higher odds of depression (OR=1.51, 95% CI, 1.44,1.58), past month marijuana use (OR =1.74, 95% CI, 1.51, 2.01), and past month smoking (OR=1.38 95% CI, 1.31, 1.45). Self-identified caregiver status was not associated with past month alcohol use. The data indicates a need for intervention concerning caregivers in rural areas. These caregivers are working without fiscal compensation for their efforts, as a result, they are more likely to be suffering from depression, and use marijuana and/or tobacco, as a coping mechanism. A few feasible interventions which could be incorporated include professionally led group psycho-social support programs, expanding telehealth services, or developing a standardized protocol for the clinicians of the caregivers. If incorporated in rural areas, these interventions could have a significant impact on the mental/ physical health of caregivers in rural areas. For the areas which do have interventions in place for rural caregivers, expanding awareness and access to the impact of them should be explored