Socioeconomic and clinical risk factors associated with moderate intensity physical activity before and during the COVID-19 pandemic.

Although moderate intensity physical activity (MIPA) improves general mental health, morbidity, and mortality, the COVID-19 pandemic may have adversely impacted individuals' ability to engage in MIPA. We examined the extent of socioeconomic factors, body mass index, anxiety/depression, and cancer diagnosis associated with MIPA before and during the COVID-19 pandemic. Multivariable logistic regression models were conducted on 4,551 U.S. adults aged 18-64 years using nationally representative samples from the 2019 and 2020 Health Information National Trends Survey datasets. The prevalence of MIPA before the pandemic was higher (77.07%) than during the pandemic (76.21%). Before the COVID-19 pandemic, lower odds of MIPA were observed for individuals with fair/poor health (OR = 0.24, 95% CI = 0.27, 0.63), obesity (OR = 0.51, 95% CI = 0.33, 0.79), anxiety/depression (OR = 0.60, 95% CI = 0.42, 0.85), or a cancer diagnosis (OR = 0.56, 95% CI = 0.32, 0.98). During the pandemic, lower odds were observed among those with obesity (OR = 0.44, 95% CI = 0.28, 0.70), anxiety/depression (OR = 0.61, 95% CI = 0.43, 0.86), less than high school education (OR = 0.33, 95% CI = 0.16, 0.70), or family income of $20,000 - $34,999 (OR = 0.42, 95% CI = 0.24, 0.74). There was a decline in MIPA during the pandemic, with certain subgroups, such as individuals of lower socioeconomic and physical and mental health status, less likely to engage in MIPA. This study highlights the need for concerted physical activity educational strategies aimed at improving access to and utilization of MIPA within subgroups to reduce MIPA disparities, particularly among disadvantaged groups during pandemics.

Immigration status-related exclusive e-cigarette use and cannabis use and their dual use disparities associated with mental health disorder symptoms.

INTRODUCTION: E-cigarette and cannabis use has been linked to various health risks, including respiratory and cardiovascular conditions. Yet, extant knowledge about the risk factors for exclusive and dual use of e-cigarettes and cannabis is limited, especially among immigrants. We examined exclusive e-cigarette and cannabis use and their dual use associated with mental health disorders among immigrants and U.S.-born. METHODS: We analyzed national cross-sectional data collected between May 13, 2021, and January 9, 2022, among adults aged >18 years (n= 4766) living in U.S. Multinomial logistic regression analyses were conducted to model the associations of exclusivity and dual-use (reference group= non-use) with anxiety/depression. RESULTS: The dual-use prevalence was higher than exclusive e-cigarette and cannabis use, especially among U.S.-born (dual use= 14.79% vs. cannabis use= 13.53% vs. e-cigarette use= 7.11%) compared to immigrants (dual use= 8.23% vs. cannabis use= 5.03% vs. e-cigarette use= 6.31%). Immigrants had lower risks of exclusive cannabis and dual use compared to U.S.-born. Anxiety/depression was associated with higher risks of exclusive cannabis use and dual use across immigration status, but was associated with exclusive e-cigarette use among only immigrants. While effect sizes of dual-use associated with anxiety/depression were higher among U.S.-born, the effect sizes of exclusive e-cigarette and cannabis use associated with anxiety/depression were higher among immigrants. CONCLUSIONS: The findings revealed significant mental health risks for e-cigarette, cannabis, and their dual use among immigrants and U.S.-born, especially among U.S.-born. These findings highlight the need for public health research and interventions to consider immigration status-related disparities in substance use.

Associations of depression with hypertension and citizenship among U.S. adults: A cross-sectional study of the interactions of hypertension and citizenship.

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.

Assessment of prenatal depression among U.S. pregnant women without access to paid sick leave and regular place of care: National Health Interview Survey of U.S.-born and non-U.S.-born.

Prenatal depression is one of the most common risks during pregnancy. This study examined the prevalence and likelihood of prenatal depression association with sociodemographic factors, paid sick leave, and place of care among U.S. pregnant women. We conducted bivariate Chi-square tests to assess the statistical difference and multivariable logistic regression models to assess the association of prenatal depression using the National Health Interview Survey, cross-sectional data from 2010 to 2019 of pregnant women aged 18-44 years (N = 957). The prevalence of prenatal depression was 40.6%, 28.5%, and 27.2% among White, Black, and other racial pregnant women, respectively. Pregnant women with no regular/routine place of care had a prenatal depression prevalence rate of 58.1%, and those without access to paid sick leave had 46.9%. Also, pregnant women without access to paid sick leave were found to have an increased likelihood of reporting prenatal depression ([adjusted odds ratio] AOR = 2.50, 95% CI = 1.72-3.64), as well as those without a regular place of care (AOR = 2.43, 95% CI = 1.32-4.47). The findings identify factors that need to be addressed to minimize depression among U.S. pregnant women and establish the need for tailored interventions to address prenatal depression.

Assessment of anxiety/depression among cancer patients before and during the COVID-19 pandemic.

OBJECTIVE: To assess differences in the prevalence of anxiety/depression symptoms among cancer patients before (2019) and during the COVID-19 pandemic (2020); and the associations between anxiety/depression and sociodemographic and health behavior factors among cancer patients before and during the pandemic. METHODS: We analyzed data from the 2019 (n = 856) and 2020 (n = 626) Health Information National Trends Survey, a nationally representative survey of United States adults aged ≥18 years. Only adults with a cancer diagnosis were used in the analyses. Anxiety/depression was assessed using the Patient Health Questionnaire-4 (low/none [0-2], mild [3-5], moderate [6-8], and severe [9-12]) and dichotomized as low/none and current anxiety/depression (mild/moderate/severe). Multivariate analysis was performed. RESULTS: The prevalence of anxiety/depression symptoms among cancer patients was 32.7% before the COVID-19 pandemic and 31.1% during the pandemic. The odds of anxiety/depression among patients with fair/poor health status was higher during the pandemic relative to before (before: odds ratio [OR] = 1.85 vs. during: OR = 3.89). Participants aged 50-64 years (before: OR = 0.29, 95% confidence interval [95% CI] = 0.11-0.76; during: OR = 0.33, 95% CI = 0.11-0.97) and ≥65 years (before: OR = 0.13, 95% CI = 0.05-0.34; during: OR = 0.18, 95% CI = 0.07-0.47) had lower odds of anxiety/depression before and during the pandemic compared to those aged 35-49 years. Hispanics/Latinos had higher odds of anxiety/depression (OR = 2.70, 95% CI = 1.11-6.57) before the pandemic and lower odds of anxiety/depression during the pandemic (OR = 0.2, 95% CI = 0.05-1.01) compared to non-Hispanic Whites. Those who completed high school (before: OR = 0.08, 95% CI = 0.01-0.42), some college (before: OR = 0.10, 95% CI = 0.02-0.42), ≥college degree had lower odds of anxiety/depression symptoms (before: OR = 0.05, 95% CI = 0.01-0.26; during: OR = 0.06, 95% CI = 0.01-0.61) compared to those with less than a high school education. CONCLUSION: Our results suggest the need to increase the provision of mental health services to cancer patients at high risk of developing anxiety/depression symptoms, particularly during public health emergencies, to alleviate further health burdens.

Social Determinants of Health: An Evaluation of Risk Factors Associated With Inpatient Presentations in the United States.

Social Determinants of Health (SDoH) are socioeconomic indicators that directly or indirectly impact individual and community health outcomes. The distribution of most of these indicators within communities can be traced to public policies. These public policies often lead to diverse inequities with varying impacts on communities across the country. The inequities that arise because of specific public policies can be associated with increased risk factors and poor health outcomes among communities at high risk for these indicators. This study examined inpatient hospitalization and SDoH indicators that put individuals at risk of poor health outcomes. We utilized the National Inpatient Sample (NIS) databases 2012-2014 and 2016-2017 through the Healthcare Cost and Utilization Project (HCUP). The NIS datasets are de-identified to ensure patients' privacy. The HCUP-NIS dataset is a well-established sizable all-payer inpatient dataset for national estimates. It includes primary, secondary inpatient diagnoses as well as demographic information. SDoH indicators were identified using the International Classification of Diseases (ICD), versions 9 and 10 diagnosis codes. The relationship between SDoH indicators such as housing, psychosocial, healthcare access, upbringing, unemployment, social factors, gender, race, income, region, payer, age group, mortality, and severity was evaluated in a regression analysis. A total of 3,002,557 (2012-2014) and 1,254,899 (2016-2017) cases were included in this study. Mental diseases (p < 0.001) were high between 2012-2014 (OR 18.8, 95% CI 18.20-19.42) and 2016-2017 (OR 4.11, 95% CI 3.99-4.23). Native Americans had odds of presentation (p < 0.001) with SDoH indicator between 2012-2014 (OR 1.15, 95% CI 1.12-1.18) and 2016-2017 (OR 1.75, 95% CI 1.70-1.79). The odds of presentation among long income group were high compared to other income categories (p < 0.001) between 2012-2014 (OR 1.15, 95% CI 1.15-1.16) and 2016-2017 (OR 1.26, 95% CI 1.28-1.32). In conclusion, disparities, severity, and mortality risk at presentation were high among minority communities, males, and low-income demographics across all regions of United States.

Inpatient Opioid Use Disorder and Social Determinants of Health: A Nationwide Analysis of the National Inpatient Sample (2012-2014 and 2016-2017).

Objective To evaluate the trends and relationship of inpatient presentations of Social Determinant of Health (SDOH) with superimposed Opioid Use Disorder (OUD), comparing 2012-2014 (ICD-9) and 2016-2017(ICD-10). Methods We used the Nationwide Inpatient Sample (NIS) from the Healthcare Cost and Utilization Project (HCUP). We identified OUD among patients with any record of SDOH as the primary or secondary diagnosis using the International Classification of Diseases (ICD)-9/10 codes. A weighted SDOH sample size of 3,002,558 (2.8%) and 1,254,899(1.8%) was included for 2012-2014 and 2016-2017, respectively. The main predictors include census division, race, gender, and covariates, including age, income, disposition, payer, rural-urban classification, and combined SDOH indicator, which was used as a control variable in the regression analysis. The study provides a descriptive analysis of the social determinant of health in relation to OUD. We also evaluated the rate of the presentation by age group and race. Results A sample of 367,960 (12%) and 153,535 (12%) OUD presentations with SDOH indicators were identified for 2012-2014 and 2016-2017, respectively. An increase in housing difficulties between 2016-2017 (45%) as compared to 2012-2014 (20%) was observed. A statistically significant higher odds of presentation among black and other races were observed. There was significant variance in the presentation by region with Middle Atlantic with OR-2.04, 95 C. I (1.98, 2.10) and East North Central with OR-1.94, 95 C. I (1.89, 1.99). Higher admissions were observed for both 2012-2014 and 2016-2017 among patients without any payment method classified as no charge. Statistically significant relationships (p<0.05) were also observed among low income <$54,000 OR-1.01, 95 C. I (0.99, 1.04), Housing OR-1.49, 95 C. I (1.47, 1.52), Primary Support OR-0.93, 95 C. I (0.90, 0.95), Employment OR-1.37, 95 C. I (1.35, 1.39), Psychosocial OR-1.63, 95 C. I (1.59, 1.67), Age group 25-34 OR-15.64, 95 C. I (14.20, 17.22), 35-44 OR-29.07, 95 C. I (26.45, 31.95) in both 2012-2014 and 2016-2017. Conclusion SDOH has a direct impact on inpatient OUD presentations. Socio-economic disparities exist in all census regions, race, sex, and rural-urban demographics. Interventions aimed at reducing the incidence and risk of OUD should focus on specific local dynamics using a multidisciplinary, data-driven quality improvement (QI) approach to address the root cause of presentations effectively. A community-based approach to addressing SDOH through collaboration with care providers could play a substantial role in decreasing length of stay (LOS), cost, and potential readmission among these populations.

Pediatric pneumonia: An analysis of cost & outcome influencers in the United States.

BACKGROUND: Pediatric pneumonia is a significant cause of inpatient care in the United States. Significant resource utilization and the high cost of care necessitate careful evaluation, especially with continuously decreasing financial resources. Several studies have evaluated subsets and regional impact of these diagnoses, but only a few have evaluated these on a national level. METHODS: This retrospective analysis utilized the 2009-2012 HCUP KID Inpatient Dataset to evaluate the relationship between pneumonia diagnosis and factors affecting cost for patients between 0 and 21. One hundred forty-five thousand one hundred forty-six patients' charges with primary pneumonia diagnosis were evaluated based on LOS, chronic conditions, severity, mortality and region. RESULTS: Majority of cases of diagnosis were of unspecified organism: 11,4811 (78%) of the total population. RSV-related pneumonia diagnosis presented second with a total of 8,156 (5.5%). Charges for pneumonia in the Emergency Department (ER) were about $13,104 and non-ER presentation at $10,238. LOS affected total charge and mortality risk for all patient population regardless of age. CONCLUSION: This nationwide study provides a unique preview of the cost associated with care for pediatric pneumonia. Such information is essential in developing strategies to improve health outcomes and resources allocation.