In the United States, roughly one million pregnancies occur every year from the misuse and discontinuation of oral contraceptives – which may be affected by an individual’s exposure to social determinants of health (SDOH). For those experiencing poorer SDOH, significant barriers may exist when family planning. Thus, our primary objective is to examine associations between domains of SDOH and contraceptive use as well as pregnancy intention using the Behavior Risk Factor Surveillance System (BRFSS).

A cross-sectional analysis of 2017 BRFSS was conducted using the SDOH module to examine differences in family planning. We used bivariate and multivariable logistic regression models to measure associations, via odd ratios, between SDOHs and contraceptive use and pregnancy intention controlling for other sociodemographic variables.

We found that individuals experiencing negative SDOH who reported running out of food (AOR: 0.65; CI: 0.50-0.86), were unable to afford balanced meals (AOR: 0.64; CI:0.49-0.84), or had no money left at the end of the month (AOR: 0.45; CI: 0.32-0.64) were less likely to have used contraceptive methods compared to those not experiencing challenges within these SDOH domains. Among women not utilizing contraceptive methods, individuals not intending to get pregnant were more likely to report difficulty affording balanced meals or having financial stability compared to women attempting to become pregnant.

Our study found that the SDOH domains of monthly financial instability and food insecurity are significantly associated with women not using contraceptive measures but not wanting to become pregnant. Addressing barriers to contraceptive access and FP is becoming more important with shifting policies regarding women’s reproductive healthcare. For women seeking contraceptive and FP advice, increased funding may help provide a solution.

This study aimed to identify how frequent poor mental health days, a depressive disorder diagnosis, frequent poor physical health days, or physical inactivity affect annual foot examinations in individuals with diabetes.

Diabetes mellitus (DM), particularly type 2, is a growing problem in the United States and causes serious health complications such as cardiovascular disease, end-stage renal disease, peripheral neuropathy, foot ulcers, and amputations. There are guidelines in place for the prevention of foot ulcers in individuals with diabetes that are not often followed. Poor mental health and poor physical health often arise from DM and contribute to the development of other complications.

We performed a cross-sectional analysis of the 2021 Behavioural Risk Factor Surveillance System dataset to determine the relationship between annual foot examinations and frequent poor mental health days, a depressive disorder diagnosis, frequent poor physical health days, or physical inactivity using a bivariate logistic regression model. The regression model was controlled for age, sex, race/ethnicity, health insurance, level of education, current smoking status, and Body Mass Index (BMI) category.

Our results showed that 72.06% of individuals with frequent poor mental health days received a foot check, compared with 76.38% of those without poor mental health days – a statistically significant association (AOR: 1.25; 95% CI: 1.09–1.43). Of those reporting a sedentary lifestyle, 73.15% received a foot check, compared with 77.07% of those who were physically active, which was also statistically significant (AOR: 1.31; 95% CI: 1.14–1.49). Although individuals reporting depressive disorder diagnoses and frequent poor physical health days had lower rates of foot examinations, these results were not statistically significant. To reduce rates of foot ulcers and possible amputations, we recommend the implementation of counselling or support groups, increased mental health screening, educational materials, or exercise classes.

Public interest in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines has been rising with regard to associated myocarditis. Thus, the objective of our study was to assess trends in public interest in myocarditis during the course of the pandemic and the SARS-CoV-2 vaccine rollout in the United States.

We conducted a longitudinal assessment of public interest in myocarditis, and its association with actual coronavirus disease 2019 (COVID-19) -related myocarditis during the first wave of the pandemic and SARS-CoV-2 vaccine-related myocarditis following vaccine rollout. To complete this objective, we used data from 3 sources: a report from the Morbidity and Mortality Weekly Report, the Vaccine Adverse Event Reporting database, and from Google Trends.

Results show that Relative Search Interest (RSI) was low before and during the initial phase of the pandemic and peaked in April 2021, during the initial vaccine push. The ratio of myocarditis related to the SARS-CoV-2 vaccines was considerably lower than the ratio of myocarditis from natural infection.

Search interest in myocarditis was low until SARS-CoV-2 vaccines were rolled out, in which media coverage intensely focused on a relatively small number of cases. This study highlights both the benefits of COVID-19 vaccine uptake and the impact of the media on public interest

Asthma is the most common non-communicable chronic airway disease worldwide. Obesity and cigarette use independently increase asthma morbidity and mortality. Current literature suggests that obesity and smoking synergistically increase asthma-related wheezing.

To assess whether increased serum cotinine and obesity act synergistically to increase the likelihood of having an asthma exacerbation, emergency department (ED) visit, or hospitalization.

A cross-sectional analysis of the 2011–2015 iterations of NHANES database was performed. Patients aged 18 years or greater with asthma were included. Serum cotinine was utilized as an accurate measurement of cigarette use. Logistic regression models were constructed to determine whether elevated serum cotinine and obesity were associated with self-reported asthma exacerbations, asthma-specific ED usage, and hospitalizations for any reason in the past year. Odds ratios were adjusted for age, gender, race, and ethnicity. Interactions were assessed by multiplying the adjusted effect sizes for elevated cotinine and obesity.

We identified 2179 (N = 32,839,290) patients with asthma, of which 32.2% were active smokers and 42.7% were obese. Patients with an elevated cotinine and asthma were significantly more likely to have had an asthma-related ED visit in the past year (adjusted odds ratio [AOR] 1.82; 95% CI 1.19–2.79), have a physician-prescribed asthma medication (AOR 2.04; 95% CI 1.11–3.74), and have a hospitalization for any reason (AOR 3.65; 95% CI 1.88–7.07) compared to those with low cotinine. Patients with asthma and obesity were more likely to have an asthma-related ED visit (AOR 1.67; 95% CI 1.06–2.62) or hospitalization for any reason in the past year compared to non-obese patients (AOR 2.76; 95% CI 1.69–4.5). However, a statistically significant interaction between obesity and cotinine was only identified in patients who currently have asthma compared to a previous asthma diagnosis (AOR 1.76; 95% CI 1.10–2.82). There were no synergistic interactions among ED usage or asthma exacerbations.

Nearly one-third of patients with asthma were current smokers, and almost half were obese. This study identified elevated serum cotinine, a metabolite of cigarette use, and obesity as key risk factors for asthma exacerbations, asthma-related ED visits, and hospitalizations for any reason. Elevated serum cotinine and obesity were not found to act synergistically in increasing asthma exacerbations or ED visits. However, the presence of both risk factors increased the risk of currently having asthma (compared to a previous diagnosis) by 76%. Serum cotinine may be useful in predicting asthma outcomes.

Following stay-at-home (SAH) orders issued for coronavirus disease (COVID-19), state-level economic concerns increased and many let these orders expire. As a method to measure public preparedness, we sought to explore the association between public interest in preventive measures and the easing of SAH orders – specifically the increases in COVID-19 cases and fatalities after the orders expired.

Search volume was collected from Google Trends for “hand sanitizer,” “social distancing,” “COVID testing,” and “contact tracing” for each state. Bivariate correlations were computed to analyze associations between public interest in preventive measures, changes in confirmed COVID-19 cases after SAH expirations, COVID-19 case-fatality rates, and by-state presidential voting percentages.

A higher interest in preventive measures was associated with lower rates of confirmed cases after SAH orders had expired (r = −0.33), higher state-wide deaths per capita (r = 0.42), and case-fatality rates (r = 0.60). Moderate to strong negative correlations were found between states’ percentage of voters supporting the Republican nominee in 2016 and proportion of queries for average preventive measures (r = −0.77).

Our investigation shows that increased public interest in COVID-19 prevention was associated with longer SAH orders and less COVID-19 cases after the SAH orders’ expiration; however, it was also associated with higher case-fatality rates.

Persons with rare disorders, such as tetralogy of Fallot, often feel socially isolated due to poor public awareness of the disorder. On 1 May 2017, Jimmy Kimmel aired a segment on Jimmy Kimmel Live! highlighting the impact of tetralogy of Fallot on his son and how the public can learn more about the disorder.

We tracked public interest in tetralogy of Fallot using Google Trends and Twitter after the episode and constructed an autoregressive integrated moving average algorithm to calculate search volumes had Kimmel not aired the episode.

Google searches and the number of Tweets for tetralogy of Fallot increased by 3063.27% and 4672.62%, respectively, above expected.

Our findings indicate that television talk shows may represent strong outlets for increasing public awareness of rare disorders.

One method of monitoring public preparedness is through measuring public interest in preventive measures. The objective of this study was to analyze public interest in the coronavirus disease 2019 (COVID-19) preventive measures and to identify variables associated with timely stay-at-home (SAH) orders issued by governors.

State-level search volume was collected from Google Trends. Average preventive measure interest was calculated for the query terms “hand sanitizer,” “hand washing,” “social distancing,” and “COVID testing.” We then calculated the delay in statewide SAH orders from March 1, 2020, to the date of issuance and by-state presidential voting percentage. Bivariate correlations were computed to assess the relationship between interest in preventive measures and SAH order delay.

The correlation between average preventive measure interest and length of time before the SAH order was placed was −0.47. Average preventive measure interest was also inversely related to voting for a Republican presidential nominee in the 2016 election (R = −0.75), the latter of which was positively associated with longer delays in SAH orders (R = 0.48).

States with greater public interest in COVID-19 preventive measures were inversely related to governor issuance of timely SAH orders. Increasing public interest in preventive measures may slow the spread of the virus that causes COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), by improving preparedness.