Exploring the complex relationships between health behaviors, health outcomes, social vulnerability, regional cultures, and oral health.

OBJECTIVES: Health and social factors show large heterogeneity across regional cultural geographies and influence oral health as well. The purpose of this study is to confirm associations between county-level general health, behaviors, social factors, and oral health indicators and to further analyze the patterns of distribution of oral health indicators across dominant regional cultures in the United States (US) as defined by the American Nations model. METHODS: We calculated a Lifestyle Health Index (LHI) from the 2023 PLACES database using county-level, age-adjusted health data and merged it with (a) 2020 Social Vulnerability Index (SVI) database, (b) dominant regional cultures from Nationhood Lab's American Nations model, (c) dentist visits and teeth lost data from the 2023 PLACES database, and (d) access to dentistry data from the County Health Rankings database. RESULTS: Correlation coefficients between the LHI (and sub scores), SVI (and sub scores), and dental variables showed strong associations. ANOVA post-hoc test results revealed significant differences for dental visits and teeth lost for LHI, SVI and access to dentists. Prevalence of dental visits and teeth lost showed clear heterogeneity across regional cultures. CONCLUSIONS: Oral health is strongly linked to lifestyle health factors, social vulnerability, access to dentistry, and cultural norms and belief systems. Within the US, significant heterogeneity exists in the distribution of oral health indicators across dominant regional cultural geographies. Oral health communications and policy solutions focused on health-related behaviors (e.g., tobacco, diet), disease-specific considerations (e.g., diabetes), and the social environment (e.g., poverty, housing) should be tailored to regional cultures rather than a single US-based culture to improve dental care and oral health outcomes.

The relationship between the lifestyle health index and voter turnout during the 2020 United States presidential election in the context of regional cultures.

Objectives: There are numerous population health challenges confronting the United States (U.S.), including the unhealthy lifestyle - chronic disease pandemics. However, the impact of unhealthy lifestyle behaviors and the increased prevalence of chronic diseases that result from them affect many facets of life outside of the health domain, and their scope remains under-appreciated. The current analysis contributes to addressing this knowledge gap by comparing the newly developed Lifestyle Health Index (LHI) to U.S. county-level voter turnout rates in the 2020 presidential election. Study design: Descriptive, cross-sectional, retrospective analysis. Methods: County-level data on the LHI, percent voter turnout, and the American Nations regional cultures model schematic was used in the current analysis. Results: Pearson correlations between county-level LHI scores and sub scores and Democratic, Republican, and overall voter turnout were all statistically significant and of similar strength (r > 0.63, p < 0.001). All counties in the worst performing LHI quartile had a voter turnout <60 %. Higher LHIs were consistently assocaited with lower voter turnout across the regional cultures, although heterogeneity was evident across the American Nations. Conclusions: A large percentage of the U.S. population is afflicted with poor health, and unhealthy lifestyle behaviors are a primary driver. Poor health does not occur in a vacuum and impacts many other facets of an individual's life. The current study further demonstrates the potential detrimental impact of poor health on civic engagement, specifically participation in the electoral process (i.e, citizens' health may influence voter turnout). Health care professionals and institutions in the U.S. should uniformly embrace the recent policy brief by the American College of Physicians on participation in the electoral process for patients receiving care. This paradigm shift has the potential to substantially improve voter turnout during U.S. elections.

Biomarkers of lung congestion and injury in acute heart failure.

Acute heart failure (AHF) classification and management are primarily based on lung congestion and/or hypoperfusion. The quantification of the vascular and tissue lung damage is not standard practice though biomarkers of lung injury may play a relevant role in this context. Haemodynamic stress promotes alveolar and vascular derangement with loss of functional units, impaired lung capillary permeability and fluid swelling. This culminates in a remodelling process with activation of inflammatory and cytokines pathways. Four families of lung surfactant proteins (i.e., SP-A, SP-B, SP-C, and SP-D), essential for the membrane biology and integrity are released by alveolar type II pneumocites. With deregulation of fluid handling and gas exchange pathways, SPs become sensitive markers of lung injury. We report the pathobiology of lung damage; the pathophysiological and clinical implications of alveolar SPs along with the newest evidence for some classical HF biomarkers that have also shown to reflect a vascular and/or a tissue lung-related activity.

The prognostic role of cardiopulmonary exercise testing in obesity.

AIM: Poor cardiorespiratory fitness has been suggested to increase the risk of chronic diseases in obesity. We investigated the ability of key variables from cardiopulmonary exercise testing (CPET) to predict all-cause mortality in an obese cohort. METHODS: The sample included 469 participants of both sexes (mean age 40 ± 13 years) who underwent a CPET for clinical reasons between 1 March 2009 and 1 December 2023. All-cause mortality was the prognostic endpoint. A receiver operating characteristic analysis was performed to establish optimal cut-points for CPET variables. Kaplan-Meier and Cox regression analyses were used to determine the association between CPET variables and all-cause mortality. RESULTS: There were 46 deaths during a mean follow-up period of 69 ± 48 months, resulting in an annual mortality rate of 2%. Despite the sample being made up of mostly women (70%), there were more deaths in men (18 vs. 6%, p < 0.001).The optimal thresholds for discrimination of survival were as follows: (a) peak oxygen uptake (pVO2) ≤16 mL/kg/min; (b) minute ventilation/carbon dioxide production (VE/VCO2) slope ≥31; (c) ventilatory power ≤5.8 mmHg; and (d) circulatory power ≤2980 mmHg/mL O2/min. Kaplan-Meier survival plots revealed a significant positive association between lower pVO2, circulatory power and ventilatory power values and survival (log-rank, p < 0.001) and higher mortality for men than women. Adjusted Cox regression models showed that a pVO2 ≤16 mL/kg/min had a 20-fold higher risk of mortality when compared with >16 mL/kg/min. CONCLUSION: Given the strong association of VO2, ventilatory efficiency, circulatory and ventilatory power with all-cause mortality, our findings support the notion that poorer cardiorespiratory fitness is associated with a poor prognosis in patients with obesity.

Hypertension and Ventilatory Responses During Exercise in the Fitness Registry and the Importance of Exercise National Database (FRIEND).

BACKGROUND: A high minute ventilation/rate of carbon dioxide production (V̇E/V̇co2) slope during exercise is prognostic for cardiovascular death. Recent data indicate that adults with either controlled or untreated primary hypertension, but not those with uncontrolled hypertension, exhibit a higher V̇E/V̇co2 slope during exercise. However, the sample sizes were modest. Therefore, we used the Fitness Registry and the Importance of Exercise National Database to determine whether adults with hypertension, particularly those with controlled or untreated hypertension, exhibit higher V̇E/V̇co2 slopes compared with adults without hypertension. METHODS AND RESULTS: Using the Fitness Registry and the Importance of Exercise National Database, we isolated primary hypertension by excluding those with any disease other than hypertension or taking any medications other than antihypertension medications. We also excluded current smokers and those with obesity. The V̇E/V̇co2 slope was determined during a peak cycling exercise test. All data are presented as median [interquartile range]. We compared groups using linear regression adjusted for age, male/female, and body mass index. The characteristics of the entire sample (n=4109) were age, 42 [18] years; 48% women; body mass index, 26 [4] kg/m2. The V̇E/V̇co2 slope did not differ between adults with hypertension (n=1940; 24.7 [3.7]) compared with those without hypertension (n=2169; 24.9 [3.8]) (hypertension versus no hypertension, P=0.31; overall model: R2=0.07, F4,4104=73.0; P<0.001). Further, the V̇E/V̇co2 slope did not differ between adults with medication-controlled hypertension (n=107; 24.4 [3.0]), untreated hypertension (n=1626; 24.8 [3.9]), uncontrolled hypertension (n=207; 24.8 [3.0]), or those without hypertension (n=2169; 24.9 [3.8]) (hypertension subgroup versus no hypertension, P≥0.06; overall model: R2=0.07, F6,4102=49.6, P<0.001). CONCLUSIONS: Primary hypertension is not associated with V̇E/V̇co2 slope in the Fitness Registry and the Importance of Exercise National Database.

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.

Evaluating current assessment techniques of cardiorespiratory fitness.

INTRODUCTION: Considerable and convincing global data from cohorts across the health spectrum (i.e. apparently healthy to known disease) indicate that cardiorespiratory fitness (CRF) is a major predictor of overall and cardiovascular disease (CVD)-survival, seemingly with greater prognostic resolution compared to other traditional CVD risk factors. Therefore, the assessment of CRF in research and clinical settings is of major importance. AREAS COVERED: In this manuscript, we review the technology of measuring CRF assessed by the 'gold standard,' cardiopulmonary exercise testing (CPET), as well as with various other methods (e.g. estimated metabolic equivalents, 6-minute walk tests, shuttle tests, and non-exercise equations that estimate CRF), all of which provide significant prognostic information for CVD- and all-cause survival. The literature through May 2024 has been cited. EXPERT OPINION: The promotion of physical activity in efforts to improve levels of CRF is needed throughout the world to improve lifespan and, more importantly, healthspan. The routine assessment of CRF should be considered a vital sign that is routinely assessed in clinical practice.

Respiratory muscle strength can improve the prognostic assessment in COPD.

Impaired lung function, respiratory muscle weakness and exercise intolerance are present in COPD and contribute to poor prognosis. However, the contribution of the combination of these manifestations to define prognosis in COPD is still unknown. This study aimed to define cut-off points for both inspiratory and expiratory muscle strength (MIP and MEP, respectively) for mortality prediction over 42-months in patients with COPD, and to investigate its combination with other noninvasive established prognostic measures (FEV1, V̇O2peak and 6MWD) to improve risk identification. Patients with COPD performed pulmonary function, respiratory muscle strength, six-minute walk and cardiopulmonary exercise tests, and were followed over 42 months to analyze all-cause mortality. A total of 79 patients were included. The sample was mostly (91.1%) comprised of severe (n = 37) and very severe (n = 34) COPD, and 43 (54%) patients died during the follow-up period. Cut-points of ≤ 55 and ≤ 80 cmH2O for MIP and MEP, respectively, were associated with increased risk of death (log-rank p = 0.0001 for both MIP and MEP) in 42 months. Furthermore, MIP and MEP substantially improved the mortality risk assessment when combined with FEV1 (log-ranks p = 0.006 for MIP and p < 0.001 for MEP), V̇O2peak (log-rank: p < 0.001 for both MIP and MEP) and 6MWD (log-ranks: p = 0.005 for MIP; p = 0.015 for MEP). Thus, patients severely affected by COPD presenting MIP ≤ 55 and/or MEP ≤ 80 cmH2O are at increased risk of mortality. Furthermore, MIP and MEP substantially improve the mortality risk assessment when combined with FEV1, V̇O2peak and 6MWD in patients with COPD.

Mortality Benefits of Cardiac Rehabilitation in Coronary Artery Disease Are Mediated by Comprehensive Risk Factor Modification: A Retrospective Cohort Study.

BACKGROUND: Cardiac rehabilitation (CR) is a multicomponent intervention to reduce adverse outcomes from coronary artery disease, but its mechanisms are not fully understood. The aims of this study were to examine the impact of CR on survival and cardiovascular risk factors, and to determine potential mediators between CR attendance and reduced mortality. METHODS AND RESULTS: A retrospective mediation analysis was conducted among 11 196 patients referred to a 12-week CR program following an acute coronary syndrome event between 2009 and 2019. A panel of cardiovascular risk factors was assessed at a CR intake visit and repeated on CR completion. All-cause and cardiovascular mortality were ascertained via health care administrative data sets at mean 4.2-year follow-up (SD, 2.81 years). CR completion was associated with reduced all-cause (adjusted hazard ratio [HR], 0.67 [95% CI, 0.54-0.83]) and cardiovascular (adjusted HR, 0.57 [95% CI, 0.40-0.81]) mortality, as well as improved cardiorespiratory fitness, lipid profile, body composition, psychological distress, and smoking rates (P<0.001). CR attendance had an indirect effect on all-cause mortality via improved cardiorespiratory fitness (ab=-0.006 [95% CI, -0.008 to -0.003]) and via low-density lipoprotein cholesterol (ab=-0.002 [95% CI, -0.003 to -0.0003]) and had an indirect effect on cardiovascular mortality via cardiorespiratory fitness (ab=-0.007 [95% CI, -0.012 to -0.003]). CONCLUSIONS: Cardiorespiratory fitness and lipid control partly explain the mortality benefits of CR and represent important secondary prevention targets.

Developing effective strategies to optimize physical activity and cardiorespiratory fitness in the long Covid population- The need for caution and objective assessment.

The Post Covid-19 Condition (commonly known as Long Covid) has been defined by the World Health Organisation as occurring in individuals with a history of probable or confirmed SARS CoV 2 infection, usually within 3 months from the onset of acute Covid-19 infection with symptoms that last for at least two months which cannot be explained by an alternative diagnosis. Long Covid is associated with over two hundred recognised symptoms and affects tens of millions of people worldwide. Widely reported reductions in quality of life(QoL) and functional status are caused by extremely sensitive and cyclical symptom profiles that are augmented following exposure to physical, emotional, orthostatic, and cognitive stimuli. This manifestation prevents millions of people from engaging in routine activities of daily living (ADLs) and has important health and well-being, social and economic impacts. Post-exertional symptom exacerbation (PESE) (also known as post-exertional malaise) is an exacerbation in the severity of fatigue and other symptoms following physical, emotional, orthostatic and cognitive tasks. Typically, this will occur 24-72 h after "over-exertion" and can persist for several days and even weeks. It is a hallmark symptom of Long Covid with a reported prevalence of 86%. The debilitating nature of PESE prevents patients from engaging in physical activity which impacts functional status and QoL. In this review, the authors present an update to the literature relating to PESE in Long Covid and make the case for evidence-based guidelines that support the design and implementation of safe rehabilitation approaches for people with Long Covid. This review also considers the role of objective monitoring to quantify a patient's response to external stimuli which can be used to support the safe management of Long Covid and inform decisions relating to engagement with any stimuli that could prompt an exacerbation of symptoms.

Unhealthy dietary patterns in the American Nations: A crisis with cultural distinctions.

INTRODUCTION: Food insecurity and limited healthful food access are critical public health issues in the United States (U.S), with unequal distribution across regions. This report tracked the prevalence of food insecurity, healthful food access, and the food environment, as cultural experiences according to the American Nations Model. METHODS: Data from the County Health Rankings & Roadmaps program on food insecurity, insufficient healthy food access, and the food environment index were matched at the zip-code level with the American Nations dataset from the Nationhood Lab. Percentages for all three food indicators were estimated based on the population of each American Nation region. RESULTS: Results show significant disparities across regional cultures. The First Nation, heavily populated by American Indian and Alaska Native communities, reports the highest prevalence of food insecurity (17 %), lowest healthful food access (21 %) and food environment index (4.6 out of 10). New France, Deep South, Great Polynesia, Greater Appalachia, El Norte and Far West, areas with higher minority populations, also show elevated food insecurity rates (range, 11-14 %) and reduced healthful food access (5-9 %). Regions with more favorable metrics across all three indicators include the Spanish Caribbean, Midlands, Yankeedom, Left Coast, Tidewater, and the New Netherlands. CONCLUSIONS: Disparities in food insecurity, healthful food access, and food environments appear to stem from geographical diversity and cultural history, underscoring the need to recognize and address cultural differences among the American Nations. This insight can inform policy and practices aimed at achieving food security and health equity across the country.