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.

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 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.

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.

Predicting life expectancy in the United States: The importance of healthy living behaviors and residential geography.

According to the World Health Organization, 30 countries currently have a life expectancy of ≥80 years: the United States (U.S.) is not among this group of countries. The current analysis assesses the ability of key lifestyle behaviors and characteristics to predict a life expectancy of ≥80 years. Only 577 (19%) of the 3066 U.S. Counties assessed had a life expectancy ≥80 years. These counties had significantly higher life expectancy (81 ± 3 vs. 76 ± 2 years) and lower percent of the population who are physically inactive (20.7 ± 3.9 vs. 27.0 ± 4.7%), actively smoke (15.9 ± 3.1 vs. 21.1 ± 3.6%), obese (31.7 ± 4.7 vs. 37.3 ± 3.9%) and have limited access to healthy food (7.1 ± 6.8 vs. 8.4 ± 6.6%) (all p < 0.001). Binary logistic regression revealed percent adults who currently smoke, percent obese, percent physically inactive, and percent with limited access to healthy food were all significant univariate predictors of

The Potential Influence of Firearm Violence on Physical Inactivity in the United States.

BACKGROUND: Despite broad recognition of the physical inactivity pandemic, little to no progress has been made in the past decade in mitigating the problem. The current analysis builds upon previous research into the drivers of physical inactivity to assess the potential interactions with firearm violence in the United States. METHODS: We merged county-level data on firearm fatality rates, physical inactivity prevalence, the Social Vulnerability Index, and the American nations regional cultures schematic. RESULTS: Counties with a physical inactivity prevalence currently above the federal government's 2030 goal (ie, ≥21.8%) had a significantly higher firearm fatality rate per 100,000 population. This finding was consistent for both the overall rate and race-based subgroups. The overall White, Hispanic, and Black firearm fatality rates were also significantly higher in the American nations group comprising Greater Appalachia, Deep South, El Norte, New France, and First Nation. Stepwise linear regression analysis revealed that the Social Vulnerability Index, American nations dichotomous grouping, and firearm fatality rate were all retained (P < .001) in predicting physical inactivity prevalence as a continuous variable. CONCLUSION: In conclusion, the United States faces myriad health and societal challenges. Unhealthy lifestyles and gun violence are two of the leaders. The current analysis in conjunction with previous findings demonstrates that solving these challenges by interacting, create complexity to finding solutions that has not been thoroughly considered.

Novel Approaches to Addressing the US Physical Inactivity and Obesity Pandemics: An Opportunity for Religious Organizations.

BACKGROUND: Physical inactivity and obesity crises persist in the United States despite substantial mitigation efforts. The primary goal of this analysis is to determine whether the geographic concentration of religious institutions overlaps with geographic patterns for physical inactivity and obesity prevalence. METHODS: We obtained 2021 county-level, age-adjusted physical inactivity ("no leisure time physical activity") and obesity prevalence from the 2023 Centers for Disease Control and Prevention PLACES database. Data on number of congregations per 100,000 individuals and adherents as a percentage of the population were obtained from the 2020 US Religion Census. The American Nations regional cultures model was obtained from the Nationhood Lab. RESULTS: On a national level, all correlations were statistically significant between health factors and religious infrastructure-higher physical inactivity and obesity were related to more congregations per 100,000 population on a county level. The strength of correlations between congregations per 100,000 county population and both physical inactivity and obesity prevalence was greatest in the American Nations model's Deep South and Tidewater regions. CONCLUSIONS: Approaches to addressing the pandemics of unhealthy lifestyle-related health factors of physical inactivity and obesity in the United States have, in large part, been unsuccessful. Church-based healthy lifestyle programs, particularly in areas where a high concentration of congregations align with high physical inactivity and obesity, may offer a novel and effective approach to addressing this issue.

The Influence of Social Vulnerability and Culture on Physical Inactivity in the United States - Identifying Hot Spots in Need of Attention.

BACKGROUND: In the United States, ongoing efforts to increase individual- and population-level physical activity have made little to no progress over the past decade in reducing the percentage of individuals who report no leisure-time physical activity. The purpose of the current study is to further assess the relationship between social vulnerability and the prevalence of physical inactivity at the county level. METHODS: We merged county-level data on physical inactivity prevalence, the Social Vulnerability Index (SVI), and the American Nations regional cultures schematic. RESULTS: Physical inactivity significantly correlated (P < .001) with the overall SVI score and all subtheme scores to varying levels of strength. Clear and statistically significant heterogeneity in the SVI scores was apparent across distinct regions using the American Nations model, consistent with previously demonstrated patterns of physical inactivity prevalence. CONCLUSIONS: On a national level, physical inactivity prevalence is unacceptably high and has not appreciably improved over the past decade. Within the United States, high levels of social vulnerability and physical inactivity are concentrated within specific geographic regions that need tailored solutions to resolve health disparities.

Physical Inactivity and Obesity in the United States Through the Lens of the 2012 and 2016 Presidential Elections.

The physical inactivity (PI) and obesity pandemics in the United States (U.S.) have undauntingly persisted in recent history. We have previously demonstrated differences in PI, obesity, socioeconomics, race, and regional culture according to county-level results for the 2020 presidential election. This commentary extends this analysis by considering if the 2020 trend is consistent with the 2 previous presidential election cycles. On a national level, during both the 2012 and 2016 presidential elections, counties where the Democratic candidate received more votes than the Republican one had a significantly lower PI and obesity prevalence. Counties where the Democratic candidate received more votes also had higher median national incomes, a higher proportion of the population who identify as Black, and a higher percentage of people who had completed at least some college. However, at a U.S. regional level, unique, region-specific cultural identities and partisan coalition demographics were apparent and showed some variation between election cycles. In most of the distinct U.S. cultural regions defined by the American Nations model, PI and obesity prevalence were lower in democratic-majority counties, although there were exceptions. These results support our previous findings demonstrating PI and obesity trends in the U.S. are influenced by cultural and political factors that are likely interrelated and which warrant further attention.

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.