Mapping One Million COVID-19 Deaths and Unhealthy Lifestyle Behaviors in the United States: Recognizing the Syndemic Pattern and Taking Action

Two sides of trust: How cancer survivors' communication with healthcare providers and on social media predicted healthy behaviors during COVID-19

OBJECTIVES

COVID-19 exacerbated pre-existing social inequalities. Using three theories linking clinical and media contexts to patients' health outcomes, our study investigated (1) potential factors of cancer patients' trust in healthcare providers and social media; (2) how such trust may influence healthy lifestyles during COVID-19.

METHODS

Using structural equation modeling, we investigated effects of key patient-provider communication variables and media factors on healthy behaviors among cancer survivors (N = 1130) using a nationally representative dataset (HINTS-SEER restricted use files, January-July 2021).

RESULTS

More healthy behaviors since COVID-19 began were associated with more trust in healthcare providers, lower trust in social media about COVID-19, and more use of social media for health purposes. More trust in social media about COVID-19 was associated with more use of social media for health purposes (p < .01). More trust in healthcare providers about COVID-19 was associated with increased perceptions of patient-provider communication (p < .01).

CONCLUSIONS

Findings can inform interventions to connect at-risk cancer patients (e.g., those younger and with lower educational background) with providers in trust-enhancing conversations during situations like COVID-19.

PRACTICE IMPLICATIONS

Partnership building between providers and patients can be supplemented with scientific videos on popular social media sites like YouTube during public health crises and emergencies.

Community Engagement in Behavioral Medicine: A Scoping Review

BACKGROUND

Behavioral medicine has made key contributions toward improving health outcomes. Engaging community partners in research is critical to addressing persistent health inequities. The aim of this scoping review was to explore how researchers engaged community partners within the field of behavioral medicine research from 2005 to 2023.

METHOD

Publication databases and gray literature were searched for research that engaged community partners to address questions relevant to behavioral medicine. Articles were screened by title and abstract, and then by full text. Articles meeting the inclusion criteria were coded using the framework provided by the Engagement Navigator to identify engagement approaches, methods, and tools and when they were used during the research.

RESULTS

Of 1486 articles initially identified, 58 met the inclusion criteria. Most articles used well-known approaches (e.g., community-based participatory research; 67%), methods (e.g., advisory committees; 59%), and tools (e.g., interviews; 41%), and engaged with healthcare service providers (62%) and/or patients (53%). Community partners were most often included in research planning and design (79%), and less often in dissemination (45%).

CONCLUSION

Community engagement has considerable potential to address health inequities. Our assessment of the approaches, methods, and tools used by behavioral medicine researchers to engage with a diverse range of community partners points toward promising strategies for enhancing the impact of community engagement. Researchers should incorporate explicit descriptions of community engagement strategies in publications, an outcome that could be facilitated by clear publishing guidelines, structured reporting tools, and clear messaging from funders about the value of community engagement in behavioral medicine research.

Arthritis in the Regional Cultures of the American Nations: An Overlooked Component of a Larger Unhealthy Lifestyle Syndemic

Introduction: Health indices vary widely within the United States (U.S.), with clear "belts and epicenters" where the prevalence of unhealthy lifestyle behaviors, chronic disease, and disability are all high. Arthritis is a significant, well-established risk factor for developing chronic disease. In this paper, we hypothesize that the prevalence and patterns of arthritis in the U.S. will mirror that of other leading health issues across the country. Methods: We merged county-level data on arthritis, disability, and depression prevalence, the Lifestyle Health Index (LHI), the Social Vulnerability Index (SVI) and the American Nations regional cultures schematic. Results: Data was available from 3073 U.S. counties. We found age-adjusted arthritis prevalence has statistically significant and generally strong Pearson product correlations (r ≈ 0.70, P < 0.001) with (1) LHI sub scores and overall score; (2) Depression prevalence; (3) Disability prevalence; and (4) SVI. The geographic distribution of age-adjusted arthritis prevalence according to the American Nations regional cultures model demonstrated clear heterogeneity across regions. Conclusions: The status of population health in the U.S. is disconcerting and the current model of health care delivery, which is often approached from a siloed (condition-specific vs holistic care), reactionary, secondary prevention model, is inadequate to the challenge.

The lifestyle health index in the context of COVID-19 mortality and vaccination in the United States: A syndemic not to be repeated

Public health, personal/community health behaviors, health care delivery, and the scientific community have all been impacted by the COVID-19 pandemic and are consequently poised to consider substantial paradigm shifts that will enhance disease prevention and public health resilience. The current analysis compares the newly developed Lifestyle Health Index (LHI) to U.S. county-level COVID-19 vaccination, infection, and mortality rates. We linked Centers of Disease Control PLACES, the U.S. Community Profile Report, and Nationhood lab databases through common zip-code identifiers to determine the association between county-level LHI scores and COVID-19 outcomes and vaccination status against the backdrop of U.S. regions with distinct cultural phenotypes. There was a statistically significant relationship between a poor LHI, lower COVID-19 vaccination rates and higher COVID-19 infection and mortality rates. There were clear differences in outcomes across the U.S. regions, suggesting distinct regional cultural characteristics may significantly influence health behaviors and outcomes. In the U.S., a syndemic comprising unhealthy lifestyle, chronic disease, and COVID-19 resulted in unnecessary hospitalizations and deaths. Politicization of the pandemic, socioeconomic inequity and regional cultural values meaningfully contributed to the uneven distribution of poor outcomes during this syndemic. Components of the syndemic were avoidable and should not be repeated. Condensed Abstract: The unhealthy lifestyle - chronic disease - COVID-19 U.S. syndemic resulted in unnecessary hospitalizations and deaths. Politicization of the pandemic, socioeconomic inequity and regional cultural values meaningfully contributed to the uneven distribution of poor outcomes during this syndemic. Components of the syndemic were avoidable and should not be repeated.

Social Determinant of Health Framework to Examine the Impact of COVID-19 on Latino Health

OBJECTIVES

Evaluated how COVID-19 impacted Latino health across social, economic, and emotional dimensions and differentiated whether adverse COVID-19-related effects persisted across respondents.

METHODS

In both English and Spanish, a cross-sectional survey was conducted in the USA from June 2021 to April 2022. Chi-square tests, Z-tests, and T-tests were used to test for significant differences between Spanish- and English-speaking respondents. Multiple linear regressions were carried out to understand whether previously established determinants of health for Latinos accounted for greater COVID-19-related adversity across social, economic, and mental health dimensions. English as a primary language was significantly related to greater adverse emotional/mental health COVID-19 experiences after controlling for other social determinants of health factors (β = - 0.355, p < 0.001). Individuals who reported worrying about housing loss were significantly more likely to experience more adverse economic adversity due to COVID-19 (β = - 0.234, p < 0.001). Household income < $35,000 (β = 0.083, p < 0.05), having more than 5 people living in the same home (β = -0.102, p < 0.05), and work-related transportation barriers (β = - 0.114, p < 0.05) all increased the likelihood of household-related stressors occurring because of the pandemic.

CONCLUSIONS

The study highlights the heterogeneity in the Latino community and the key social, economic, and community-level factors most strongly correlated with adverse COVID-19-related outcomes.

Qualitative systems mapping in promoting physical activity and cardiorespiratory fitness: Perspectives and recommendations

The purpose of this report is to provide a perspective on the use of qualitative systems mapping, provide examples of physical activity (PA) systems maps, discuss the role of PA systems mapping in the context of iterative learning to derive breakthrough interventions, and provide actionable recommendations for future work. Systems mapping methods and applications for PA are emerging in the scientific literature in the study of complex health issues and can be used as a prelude to mathematical/computational modeling where important factors and relationships can be elucidated, data needs can be prioritized and guided, interventions can be tested and (co)designed, and metrics and evaluations can be developed. Examples are discussed that describe systems mapping based on Group Model Building or literature reviews. Systems maps are highly informative, illustrate multiple components to address PA and physical inactivity issues, and make compelling arguments against single intervention action. No studies were identified in the literature scan that considered cardiorespiratory fitness the focal point of a systems maps. Recommendations for future research and education are presented and it is concluded that systems mapping represents a valuable yet underutilized tool for visualizing the complexity of PA promotion.

Body mass index and fitness in late adolescence and risk of cardiovascular disease, respiratory disease, and overall death after COVID-19

Objective

Since obesity and poor fitness appear to be unfavorable for both cardiovascular health and coping with viral infections such as COVID-19, they are of specific interest in light of the increased risk of cardiovascular and respiratory events now seen after infection with SARS-CoV-2. Therefore, the aim of the present study was to investigate how body mass index (BMI) and cardiorespiratory fitness (CRF) in late adolescence are associated with the risk of cardiovascular disease (CVD), respiratory disease, and mortality after COVID-19.

Methods

In this study, 1.5 million 18-year-old Swedish men with BMI and CRF measured during enlistment for military service 1968-2005 were included. Hospitalized and non-hospitalized COVID-19 cases were identified through the Patient Register or positive polymerase chain reaction tests, and age-matched with non-infected controls. CVD, respiratory disease, and mortality after COVID-19 were divided into <60days, 60-180days, >180days post-infection. Cox regression models were used.

Results

Hospitalized COVID-19 cases (n = 9839), compared to controls, had >10-fold, 50 to 70-fold, and >70-fold hazards of CVD, respiratory disease, and mortality over the initial 60 days post-infection with little variation across BMI or CRF categories. The elevated risks persisted at declining levels >180 days. For non-hospitalized COVID-19 cases (n = 181,822), there was a 4- to 7-fold increased acute mortality risk, and high CRF was associated with lower risk of post-infectious respiratory disease.

Conclusions

The high hazards of adverse outcomes during the first two months after COVID-19 hospitalization, and across BMI and CRF categories, declined rapidly but were still elevated after six months. Adolescent CRF was associated with respiratory disease after COVID-19 without hospitalization, which gives further support to the health benefits of physical activity.

Association of major dietary patterns with socioeconomic status, obesity, and contracting COVID-19 among Iranian adults

Background

The coronavirus disease 2019 (COVID-19) pandemic clearly affected the lifestyle and dietary habits of millions of people worldwide. The purpose of this study was to evaluate the association of major dietary patterns with socioeconomic status, obesity, and contracting COVID-19.

Methods

We conducted a cross-sectional study using an online survey for data collection with a total of 1,187 participants (over the age of 18 years) who reported their sociodemographic details, anthropometric index (weight and height), and dietary intake. Multivariable logistic regression models were applied to assess the association between major dietary patterns and study outcomes.

Results

A total of 1,106 adults were included in the current analysis. We identified three major dietary patterns (plant-based, meat, and Western dietary patterns). The mean age of participants was significantly higher in the upper tertile of plant-based dietary patterns (DPs) compared to the first tertile, while it was lower in the top tertile of meat and Western DPs. The percentage of participants who lived in urban areas was significantly higher in the third tertile of meat DP than in the first tertile (p < 0.001). Moderate adherence to Western DP was significantly associated with increased odds of obesity (OR: 1.79; 95% CI: 1.17, 2.74). In addition, high adherence to Western DP was significantly related to increased odds of obesity after controlling for confounders. Subjects in the second tertile of the Western DP had higher odds (95% Cl: 1.04, 1.92) for COVID-19 infection than the first tertile.

Conclusion

This study showed that moderate and high adherence to a Western dietary pattern was associated with a higher risk of obesity and COVID-19 infection during the pandemic. Future studies are needed to confirm these findings.

Conceptualizing COVID-19 syndemics: A scoping review

Background

COVID-19's heavy toll on human health, and its concentration within specific at-risk groups including the socially vulnerable and individuals with comorbidities, has made it the focus of much syndemic discourse. Syndemic theory recognizes that social factors create the conditions that support the clustering of diseases and that these diseases interact in a manner that worsens health outcomes. Syndemics theory has helped to facilitate systems-level approaches to disease as a biosocial phenomenon and guide prevention and treatment efforts. Despite its recognized value, reviews of syndemics literature have noted frequent misuse of the concept limiting its potential in guiding appropriate interventions.

Objective

To review how the term 'syndemic' is defined and applied within peer-reviewed literature in relation to COVID-19.

Design

A scoping review of definitions within COVID-19 literature published between January 1, 2020 to May 15, 2023 was conducted. Searches took place across six databases: Academic Search Premier, CINAHL, JSTOR, MEDLINE/Pubmed, PsycINFO and Scopus. PRISMA-ScR guidelines were followed.

Results

Content analysis revealed that COVID-19 has varied clustered configurations of communicable-non-communicable diseases and novel communicable disease interactions. Spatial analysis was presented as a new strategy to evidence syndemic arrangements. However, syndemics continue to be regarded as universal, with continued misunderstanding and misapplication of the concept.

Conclusion

This review found that current applications of syndemics remain problematic. Recommendations are made on the design of syndemic studies. A syndemic framework offers an opportunity for systems-level thinking that considers the full complexity of human-disease interactions and is useful to inform future pandemic preparations and responses.

Social inequalities and the COVID-19 pandemic

Social inequality has been identified as an important determinant of the outcome of infectious diseases and the recent SARS-CoV-2 pandemic has vividly reminded us that there are no "equal opportunity infectors". In a recent article, Chakrabarty et al. (2023) reported the finding of a cross-country comparison of COVID-19 cases and social deprivation, using up-to-date statistical modelling. These results add to the extensive evidence showing that vulnerable populations are consistently at higher risk of contracting the infection and to suffer from more severe symptoms, whatever the spatial scale used (from the country to the neighborhood). Spatial clustering of socially deprived groups, preexisting pathologies and hotspots of COVID-19 cases and deaths indicate that the SARS-CoV-2 should be seen as a syndemic, where both the infection dynamics and the outcome of the disease strongly depend on the three-way interaction between the virus, preexisting pathologies, and the socioeconomic environment.

Physical Inactivity and Obesity in the United States: At the Intersection of Politics, Socioeconomics, Race, and Culture

Efforts to reverse the physical inactivity (PI) and obesity pandemics in the United States (U.S.) have been unsuccessful. This commentary provides a view of PI and obesity in the U.S. from the intersection of politics, socioeconomics, race, and culture. On a national level, counties where the Democratic presidential candidate received more votes in 2020 than the Republican candidate had a lower PI and obesity prevalence. The percentage completing some college and Black individuals as well as median household income were higher in counties where the Democratic candidate received more votes. Regionally, unique, region-specific cultural identities and partisan coalition demographics were apparent and serve as potential explanations for inconsistencies in PI and obesity prevalence across the U.S. Identifying the driving forces of PI and obesity within specific U.S. regions and crafting messaging that has optimal efficacy on a local level is essential to reducing the burden of cardiovascular disease and other chronic conditions.

Exercise and cardiovascular health: A state-of-the-art review

Cardiovascular (CV) disease (CVD) is the leading cause of global morbidity and mortality, and low levels of physical activity (PA) is a leading independent predictor of poor CV health and associated with an increased prevalence of risk factors that predispose to CVD development. In this review, we evaluate the benefits of exercise on CV health. We discuss the CV adaptations to exercise, focusing on the physiological changes in the heart and vasculature. We review the impact and benefits of exercise on specific CV prevention, including type II diabetes, hypertension, hyperlipidemia, coronary artery disease, and heart failure, in addition to CVD-related and all-cause mortality. Lastly, we evaluate the current PA guidelines and various modes of exercise, assessing the current literature for the effective regimens of PA that improve CVD outcomes.

A scoping review on the impact of the COVID-19 pandemic on physical activity and sedentary behavior in Saudi Arabia

BACKGROUND

In Saudi Arabia, stay-at-home orders to address the coronavirus disease 2019 (COVID-19) pandemic between March 15 and 23, 2020 and eased on May 28, 2020. We conducted a scoping review to systematically describe physical activity and sedentary behavior in Saudi Arabia associated with the timing of the lockdown.

METHODS

We searched six databases on December 13, 2021 for articles published in English or Arabic from 2018 to the search date. Studies must have reported data from Saudi Arabia for any age and measured physical activity or sedentary behavior.

RESULTS

Overall, 286 records were found; after excluding duplicates, 209 records were screened, and 19 studies were included in the review. Overall, 15 studies were cross-sectional, and 4 studies were prospective cohorts. Three studies included children and adolescents (age: 2-18 years), and 16 studies included adults (age: 15-99 years). Data collection periods were <  = 5 months, with 17 studies collecting data in 2020 only, one study in 2020-2021, and one study in 2021. The median analytic sample size was 363 (interquartile range 262-640). Three studies of children/adolescents collected behaviors online at one time using parental reporting, with one also allowing self-reporting. All three studies found that physical activity was lower during and/or following the lockdown than before the lockdown. Two studies found screen time, television watching, and playing video games were higher during or following the lockdown than before the lockdown. Sixteen adult studies assessed physical activity, with 15 utilizing self-reporting and one using accelerometry. Physical activity, exercise, walking, and park visits were all lower during or following the lockdown than before the lockdown. Six adult studies assessed sedentary behavior using self-report. Sitting time (4 studies) and screen time (2 studies) were higher during or following the lockdown than before the lockdown.

CONCLUSIONS

Among children, adolescents, and adults, studies consistently indicated that in the short-term, physical activity decreased and sedentary behavior increased in conjunction with the movement restrictions. Given the widespread impact of the pandemic on other health behaviors, it would be important to continue tracking behaviors post-lockdown and identify subpopulations that may not have returned to their physical activity and sedentary behavior to pre-pandemic levels to focus on intervention efforts.

COVID Vaccine Hesitancy and Risk of a Traffic Crash

BACKGROUND

Coronavirus disease (COVID) vaccine hesitancy is a reflection of psychology that might also contribute to traffic safety. We tested whether COVID vaccination was associated with the risks of a traffic crash.

METHODS

We conducted a population-based longitudinal cohort analysis of adults and determined COVID vaccination status through linkages to individual electronic medical records. Traffic crashes requiring emergency medical care were subsequently identified by multicenter outcome ascertainment of all hospitals in the region over a 1-month follow-up interval (178 separate centers).

RESULTS

A total of 11,270,763 individuals were included, of whom 16% had not received a COVID vaccine and 84% had received a COVID vaccine. The cohort accounted for 6682 traffic crashes during follow-up. Unvaccinated individuals accounted for 1682 traffic crashes (25%), equal to a 72% increased relative risk compared with those vaccinated (95% confidence interval, 63-82; P < 0.001). The increased traffic risks among unvaccinated individuals extended to diverse subgroups, was similar to the relative risk associated with sleep apnea, and was equal to a 48% increase after adjustment for age, sex, home location, socioeconomic status, and medical diagnoses (95% confidence interval, 40-57; P < 0.001). The increased risks extended across the spectrum of crash severity, appeared similar for Pfizer, Moderna, or other vaccines, and were validated in supplementary analyses of crossover cases, propensity scores, and additional controls.

CONCLUSIONS

These data suggest that COVID vaccine hesitancy is associated with significant increased risks of a traffic crash. An awareness of these risks might help to encourage more COVID vaccination.

Understanding Long COVID; Mitochondrial Health and Adaptation-Old Pathways, New Problems

Many people infected with the SARS-CoV-2 suffer long-term symptoms, such as "brain fog", fatigue and clotting problems. Explanations for "long COVID" include immune imbalance, incomplete viral clearance and potentially, mitochondrial dysfunction. As conditions with sub-optimal mitochondrial function are associated with initial severity of the disease, their prior health could be key in resistance to long COVID and recovery. The SARs virus redirects host metabolism towards replication; in response, the host can metabolically react to control the virus. Resolution is normally achieved after viral clearance as the initial stress activates a hormetic negative feedback mechanism. It is therefore possible that, in some individuals with prior sub-optimal mitochondrial function, the virus can "tip" the host into a chronic inflammatory cycle. This might explain the main symptoms, including platelet dysfunction. Long COVID could thus be described as a virally induced chronic and self-perpetuating metabolically imbalanced non-resolving state characterised by mitochondrial dysfunction, where reactive oxygen species continually drive inflammation and a shift towards glycolysis. This would suggest that a sufferer's metabolism needs to be "tipped" back using a stimulus, such as physical activity, calorie restriction, or chemical compounds that mimic these by enhancing mitochondrial function, perhaps in combination with inhibitors that quell the inflammatory response.