The promise of prevention: the effects of four preventable risk factors on national life expectancy and life expectancy disparities by race and county in the United States

Men's experiences of a personalised, appearance-based, facial-morphing, safer drinking intervention

Risky alcohol consumption behaviours remain commonplace, representing a major threat to health and safety, and are especially evidenced by young university students. Consequently, new interventions targeting this high-risk group are required. The current study investigated young male university students' experiences of a personalised, appearance-based, facial morphing, safer drinking intervention. Twenty-five male student participants were recruited, aged 18-34 years. Inductive thematic analysis of data gathered whilst participants were immersed in the intervention, and thereby exposed to alcohol-aged images of their own faces, produced four primary themes: alcohol as a threat to appearance and health, motivations to protect appearance, motivational aspects of the intervention, and proposed improvements and applications. The results of the current study suggested that participants expressed intentions towards healthier consumption/maintenance of already non-risky intake, supporting the potential of the facial-morphing appearance-based approach to address risky alcohol consumption, even in high-risk groups.

Investigation of the role of perceived access to primary care in mediating and moderating racial and ethnic disparities in chronic disease control in the veterans health administration

OBJECTIVE

To examine the role of patient-perceived access to primary care in mediating and moderating racial and ethnic disparities in hypertension control and diabetes control among Veterans Health Administration (VA) users.

DATA SOURCE AND STUDY SETTING

We performed a secondary analysis of national VA user administrative data for fiscal years 2016-2019.

STUDY DESIGN

Our primary exposure was race or ethnicity and primary outcomes were binary indicators of hypertension control (<140/90 mmHg) and diabetes control (HgbA1c < 9%) among patients with known disease. We used the inverse odds-weighting method to test for mediation and logistic regression with race and ethnicity-by-perceived access interaction product terms to test moderation. All models were adjusted for age, sex, socioeconomic status, rurality, education, self-rated physical and mental health, and comorbidities.

DATA COLLECTION/EXTRACTION METHODS

We included VA users with hypertension and diabetes control data from the External Peer Review Program who had contemporaneously completed the Survey of Healthcare Experience of Patients-Patient-Centered Medical Home. Hypertension (34,233 patients) and diabetes (23,039 patients) samples were analyzed separately.

PRINCIPAL FINDINGS

After adjustment, Black patients had significantly lower rates of hypertension control than White patients (75.5% vs. 78.8%, p < 0.01); both Black (81.8%) and Hispanic (80.4%) patients had significantly lower rates of diabetes control than White patients (85.9%, p < 0.01 for both differences). Perceived access was lower among Black, Multi-Race and Native Hawaiian and Other Pacific Islanders compared to White patients in both samples. There was no evidence that perceived access mediated or moderated associations between Black race, Hispanic ethnicity, and hypertension or diabetes control.

CONCLUSIONS

We observed disparities in hypertension and diabetes control among minoritized patients. There was no evidence that patients' perception of access to primary care mediated or moderated these disparities. Reducing racial and ethnic disparities within VA in hypertension and diabetes control may require interventions beyond those focused on improving patient access.

Survival Outcomes by Race and Ethnicity in Veterans With Nonmetastatic Castration-Resistant Prostate Cancer

Importance

Racial and ethnic disparities in prostate cancer are poorly understood. A given disparity-related factor may affect outcomes differently at each point along the highly variable trajectory of the disease.

Objective

To examine clinical outcomes by race and ethnicity in patients with nonmetastatic castration-resistant prostate cancer (nmCRPC) within the US Veterans Health Administration.

Design, Setting, and Participants

A retrospective, observational cohort study using electronic health care records (January 1, 2006, to December 31, 2021) in a nationwide equal-access health care system was conducted. Mean (SD) follow-up time was 4.3 (3.3) years. Patients included in the analysis were diagnosed with prostate cancer from January 1, 2006, to December 30, 2020, that progressed to nmCRPC defined by (1) increasing prostate-specific antigen levels, (2) ongoing androgen deprivation, and (3) no evidence of metastatic disease. Patients with metastatic disease or death within the landmark period (3 months after the first nmCRPC evidence) were excluded.

Main Outcomes and Measures

The primary outcome was time from the landmark period to death or metastasis; the secondary outcome was overall survival. A multivariate Cox proportional hazards model, Kaplan-Meier estimates, and adjusted survival curves were used to evaluate outcome differences by race and ethnicity.

Results

Of 12 992 patients in the cohort, 826 patients identified as Hispanic (6%), 3671 as non-Hispanic Black (28%; henceforth Black), 7323 as non-Hispanic White (56%; henceforth White), and 1172 of other race and ethnicity (9%; henceforth other, including American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, unknown by patient, and patient declined to answer). Median time elapsed from nmCRPC to metastasis or death was 5.96 (95% CI, 5.58-6.34) years for Black patients, 5.62 (95% CI, 5.11-6.67) years for Hispanic patients, 4.11 (95% CI, 3.96-4.25) years for White patients, and 3.59 (95% CI, 3.23-3.97) years for other patients. Median unadjusted overall survival was 6.26 (95% CI, 6.03-6.46) years among all patients, 8.36 (95% CI, 8.0-8.8) years for Black patients, 8.56 (95% CI, 7.3-9.7) years for Hispanic patients, 5.48 (95% CI, 5.2-5.7) years for White patients, and 4.48 (95% CI, 4.1-5.0) years for other patients.

Conclusions and Relevance

The findings of this cohort study of patients with nmCRPC suggest that differences in outcomes by race and ethnicity exist; in addition, Black and Hispanic men may have considerably improved outcomes when treated in an equal-access setting.

Estimating the US Baseline Distribution of Health Inequalities Across Race, Ethnicity, and Geography for Equity-Informative Cost-Effectiveness Analysis

OBJECTIVES

Information on how life expectancy, disability-free life expectancy, and quality-adjusted life expectancy varies across equity-relevant subgroups is required to conduct distributional cost-effectiveness analysis. These summary measures are not comprehensively available in the United States, given limitations in nationally representative data across racial and ethnic groups.

METHODS

Through linkage of US national survey data sets and use of Bayesian models to address missing and suppressed mortality data, we estimate health outcomes across 5 racial and ethnic subgroups (non-Hispanic American Indian or Alaska Native, non-Hispanic Asian and Pacific Islander, non-Hispanic black, non-Hispanic white, and Hispanic). Mortality, disability, and social determinant of health data were combined to estimate sex- and age-based outcomes for equity-relevant subgroups based on race and ethnicity, as well as county-level social vulnerability.

RESULTS

Life expectancy, disability-free life expectancy, and quality-adjusted life expectancy at birth declined from 79.5, 69.4, and 64.3 years, respectively, among the 20% least socially vulnerable (best-off) counties to 76.8, 63.6, and 61.1 years, respectively, among the 20% most socially vulnerable (worst-off) counties. Considering differences across racial and ethnic subgroups, as well as geography, gaps between the best-off (Asian and Pacific Islander; 20% least socially vulnerable counties) and worst-off (American Indian/Alaska Native; 20% most socially vulnerable counties) subgroups were large (17.6 life-years, 20.9 disability-free life-years, and 18.0 quality-adjusted life-years) and increased with age.

CONCLUSIONS

Existing disparities in health across geographies and racial and ethnic subgroups may lead to distributional differences in the impact of health interventions. Data from this study support routine estimation of equity effects in healthcare decision making, including distributional cost-effectiveness analysis.

Impact of Social Vulnerability and Demographics on Ischemic Heart Disease Mortality in the United States

Background

Cardiovascular disease is a leading cause of morbidity and mortality, largely dominated by ischemic heart diseases (IHDs). Social determinants of health, including geographic, psychosocial, and socioeconomic factors, influence the development of IHD.

Objectives

This study aimed to evaluate yearly trends and disparities in IHD mortality and to assess the impact of social vulnerability.

Methods

We performed cross-sectional analyses using United States county-level mortality data and social vulnerability index (SVI) obtained from the Centers for Disease Control and Prevention databases. Age-adjusted mortality rates (AAMRs) per 100,000 population were compared between aggregated U.S. county groups, stratified by demographic information and SVI quartiles. Log-linear regression models were used to identify mortality trends from 1999 to 2020, with inflection points determined through the Monte-Carlo permutation test.

Results

We identified a total of 9,108,644 deaths related to IHD between 1999 and 2020. Overall AAMR decreased from 194.6 in 1999 to 91.8 in 2020. Males (AAMR: 161.51) and Black (AAMR: 141.49) populations exhibited higher AAMR compared to females (AAMR: 93.16) and White (AAMR: 123.34) populations, respectively. Disproportionate AAMRs were observed among nonmetropolitan (AAMR: 136.17) and Northeastern (AAMR: 132.96) regions. Counties with a higher SVI experienced a greater AAMR, with a cumulative excess of 20.91 deaths per 100,000 person-years associated with increased social vulnerability.

Conclusions

Despite a decline in IHD mortality from 1999 to 2020, disparities persisted among racial, gender, and geographic subgroups. A higher SVI was linked to increased IHD mortality. Policy interventions should prioritize integrating the SVI into health care delivery systems to effectively address these disparities.

Spatiotemporal evolution and characteristics of worldwide life expectancy

Exploring global differences in life expectancy can facilitate the development of strategies to narrow regional disparities. However, few researchers have systematically examined patterns in the evolution of worldwide life expectancy over a long time period. Spatial differences among 181 countries in 4 types of worldwide life expectancy patterns from 1990 to 2019 were investigated via geographic information system (GIS) analysis. The aggregation characteristics of the spatiotemporal evolution of life expectancy were revealed by local indicators of spatial association. The analysis employed spatiotemporal sequence-based kernel density estimation and explored the differences in life expectancy among regions with the Theil index. We found that the global life expectancy progress rate shows upward then downward patterns over the last 30 years. Female have higher rates of spatiotemporal progression in life expectancy than male, with less internal variation and a wider spatial aggregation. The global spatial and temporal autocorrelation of life expectancy shows a weakening trend. The difference in life expectancy between male and female is reflected in both intrinsic causes of biological differences and extrinsic causes such as environment and lifestyle habits. Investment in education pulls apart differences in life expectancy over long time series. These results provide scientific guidelines for obtaining the highest possible level of health in countries around the world.

Differential COVID-19 preventive behaviors among Asian subgroups in the United States

BACKGROUND

Given the observed within-Asian disparity in COVID-19 incidence, we aimed to explore the differential preventive behaviors among Asian subgroups in the United States.

METHODS

Based on data from the Asian subsample (N = 982) of the 2020 Health, Ethnicity, and Pandemic survey, we estimated the weighted proportion of noncompliance with Centers for Disease Control and Prevention (CDC) guidelines on preventive behaviors and COVID-19 testing by Asian subgroups (Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, Other Asian). We examined these subgroup differences after adjusting for demographic factors and state-level clustering.

RESULTS

Filipinos demonstrated the lowest rate of noncompliance for mask-wearing, social distancing, and handwashing. As compared with the Filipinos, our logistic models showed that the Chinese and the 'other Asians' subgroup had significantly higher risk of noncompliance with mask-wearing, while the Japanese, the Vietnamese, and other Asians were significantly more likely to report noncompliance with social distancing.

CONCLUSIONS

The significant variation of preventive behavior across Asian subgroups signals the necessity of data disaggregation when it comes to understanding the health behavior of Asian Americans, which is critical for future pandemic preparedness. The excess behavioral risk among certain Asian subgroups (especially those 'other Asians') warrants further investigation and interventions about the driving forces behind these disparities.

Smoking and the widening inequality in life expectancy between metropolitan and nonmetropolitan areas of the United States

Background

Geographic inequality in US mortality has increased rapidly over the last 25 years, particularly between metropolitan and nonmetropolitan areas. These gaps are sizeable and rival life expectancy differences between the US and other high-income countries. This study determines the contribution of smoking, a key contributor to premature mortality in the US, to geographic inequality in mortality over the past quarter century.

Methods

We used death certificate and census data covering the entire US population aged 50+ between Jan 1, 1990 and Dec 31, 2019. We categorized counties into 40 geographic areas cross-classified by region and metropolitan category. We estimated life expectancy at age 50 and the index of dissimilarity for mortality, a measure of inequality in mortality, with and without smoking for these areas in 1990-1992 and 2017-2019. We estimated the changes in life expectancy levels and percent change in inequality in mortality due to smoking between these periods.

Results

We find that the gap in life expectany between metros and nonmetros increased by 2.17 years for men and 2.77 years for women. Changes in smoking-related deaths are responsible for 19% and 22% of those increases, respectively. Among the 40 geographic areas, increases in life expectancy driven by changes in smoking ranged from 0.91 to 2.34 years for men while, for women, smoking-related changes ranged from a 0.61-year decline to a 0.45-year improvement. The most favorable trends in years of life lost to smoking tended to be concentrated in large central metros in the South and Midwest, while the least favorable trends occurred in nonmetros in these same regions. Smoking contributed to increases in mortality inequality for men aged 70+, with the contribution ranging from 8 to 24%, and for women aged 50-84, ranging from 14 to 44%.

Conclusions

Mortality attributable to smoking is declining fastest in large cities and coastal areas and more slowly in nonmetropolitan areas of the US. Increasing geographic inequalities in mortality are partly due to these geographic divergences in smoking patterns over the past several decades. Policies addressing smoking in non-metropolitan areas may reduce geographic inequality in mortality and contribute to future gains in life expectancy.

Exploring inequalities in life expectancy and lifespan variation by race/ethnicity and urbanicity in the United States: 1990 to 2019

Background/Objective

Investigating trends in life expectancy and lifespan variation can highlight disproportionate mortality burdens among population subgroups. We examined inequalities in life expectancy and lifespan variation by race/ethnicity and by urbanicity in the US from 1990 to 2019.

Methods

Using vital registration data for 322.0 million people in 3,141 counties from the National Center for Health Statistics, we obtained life expectancy at birth and lifespan variation for 16 race/ethnicity-gender-urbanicity combinations in six 5-year periods (1990-1994 to 2015-2019). Race/ethnicity was categorized as Hispanic, and non-Hispanic White, Black, and Asian/Pacific Islander. Urbanicity was categorized as metropolitan vs nonmetropolitan areas, or in six further detailed categorizations. Life expectancy and lifespan variation (coefficient of variation) were computed using life tables.

Results

In 2015-2019, residents in metropolitan areas had higher life expectancies than their nonmetropolitan counterparts (79.6 years compared to 77.0 years). The widest inequality in life expectancy occurred between Asian/Pacific Islander women and Black men, with a 17.7-year gap for residents in metropolitan areas and a 16.9-year gap for residents in nonmetropolitan areas. Nonmetropolitan areas had greater dispersion around average age at death. Black individuals had the highest lifespan variations in both metropolitan and nonmetropolitan areas. Until the mid-2010s, life expectancy increased while lifespan variation decreased; however, recent trends show stagnation in life expectancy and increases in lifespan variation. Metropolitan-nonmetropolitan inequalities in both life expectancy and lifespan variation widened over time.

Conclusion

Despite previous improvements in longevity, life expectancy is now stagnating while lifespan variation is increasing. Our results highlight that early-life deaths (i.e., young- and middle-age mortality) disproportionately affect Black individuals, who not only live the shortest lifespans but also have the most variability with respect to age at death.

Economic Sustainability and ‘Missing Middle Housing’: Associations between Housing Stock Diversity and Unemployment in Mid-Size U.S. Cities

Single-family detached homes—the lowest-density housing type—continue to dominate the U.S. home construction industry. These homes are carbon-intensive and automobile dependent; the built environments they produce militate against civic relations and attitudes. Cities need to increase density, support multimodality, and develop social capital, but these issues are not propelling cities to diversify their housing stock. The objective of this research is to facilitate this shift by establishing economic arguments for increased density and housing diversity. Municipal-level U.S. Census data is used to explore the interurban relationships between diversity in housing stocks and unemployment rates in 146 mid-size American cities. A measure of diversity, Shannon’s H, is applied to housing stock and found to be strongly associated with lower unemployment for workers over 25 years old after controlling for measures of urban social burden. In contrast to the much-heralded “trade-offs” between environmental quality, social equity, and economic development, these findings suggest that the dense, walkable, low-carbon city, and the economically sustainable city might be the same place.

Converting health risks into loss of life years - a paradigm shift in clinical risk communication

For facilitating risk communication in clinical management, such a ratio-based measure becomes easier to understand if expressed as a loss of life expectancy. The cohort, consisting of 543,410 adults in Taiwan, was recruited between 1994 and 2008. Health risks included lifestyle, biomarkers, and chronic diseases. A total of 18,747 deaths were identified. The Chiang's life table method was used to estimate a loss of life expectancy. We used Cox regression to calculate hazard ratios (HRs) for health risks. The increased mortality from cardio-metabolic risks such as high cholesterol (HR=1.10), hypertension (HR=1.48) or diabetes (HR=2.02) can be converted into a loss of 1.0, 4.4, and 8.9 years in life expectancy, respectively. The top 20 of the 30 risks were associated with a loss of 4 to 10 years of life expectancy, with 70% of the cohort having at least two such risk factors. Smoking, drinking, and physical inactivity each had 5-7 years loss. Individuals with diabetes or an elevated white count had a loss of 7-10 years, while prolonged sitting, the most prevalent risk factor, had a loss of 2-4 years. Those with diabetes (8.9 years) and proteinuria (9.1 years) present at the same time showed a loss of 16.2 years, a number close to the sum of each risk. Health risks, expressed as life expectancy loss, could facilitate risk communication. The paradigm shift in expressing risk intensity can help set public health priorities scientifically to promote a focus on the most important ones in primary care.

Utility and Diversity: Challenges for Genomic Medicine

Genomic information is poised to play an increasing role in clinical care, extending beyond highly penetrant genetic conditions to less penetrant genotypes and common disorders. But with this shift, the question of clinical utility becomes a major challenge. A collaborative effort is necessary to determine the information needed to evaluate different uses of genomic information and then acquire that information. Another challenge must also be addressed if that process is to provide equitable benefits: the lack of diversity of genomic data. Current genomic knowledge comes primarily from populations of European descent, which poses the risk that most of the human population will be shortchanged when health benefits of genomics emerge. These two challenges have defined my career as a geneticist and have taught me that solutions must start with dialogue across disciplinary and social divides.

COVID-19 and the political geography of racialisation: Ethnographic cases in San Francisco, Los Angeles and Detroit

The COVID-19 pandemic has overwhelmed health systems around the globe, and intensified the lethality of social and political inequality. In the United States, where public health departments have been severely defunded, Black, Native, Latinx communities and those experiencing poverty in the country's largest cities are disproportionately infected and disproportionately dying. Based on our collective ethnographic work in three global cities in the U.S. (San Francisco, Los Angeles, and Detroit), we identify how the political geography of racialisation potentiated the COVID-19 crisis, exacerbating the social and economic toll of the pandemic for non-white communities, and undercut the public health response. Our analysis is specific to the current COVID19 crisis in the U.S, however the lessons from these cases are important for understanding and responding to the corrosive political processes that have entrenched inequality in pandemics around the world.

Evaluating the Influence of the Complete Health Improvement Program (CHIP) on Blood Glucose, Blood Pressure, and Weight

Background

Diabetes, hypertension, and obesity are vastly prevalent in the United States. Lifestyle modification programs can aid in controlling chronic disease. The aim of the study was to evaluate the health outcomes of the Complete Health Improvement Program (CHIP) concerning blood glucose, blood pressure, and weight. CHIP is a lifestyle medicine education program involving diet modification and increased physical activity.

Methods

A quantitative, summative program evaluation was performed to measure the outcomes of CHIP. Pre and post data sets were collected on 73 individuals who completed the 12-week CHIP program. Pre and post program blood glucose levels, blood pressure readings, and weight measurements were analyzed using a paired t-test with a 95% confidence level. Analysis determined influence of the intervention on the biomarkers.

Results

The post-intervention group means showed decreases in blood glucose, blood pressure, and weight. Statistical analysis revealed significant decreases in blood glucose (p = 0.008) and weight (p = 0.000). Blood pressure readings did not have statistically significant decreases (p = 0.403); however, the pre-intervention blood pressure readings were in the normotensive range.

Conclusion

Results indicated that the Complete Health Improvement Program decreased participants’ blood glucose levels, blood pressure readings, and weight measurements. Statistically significant decreases in blood glucose and weight suggest enhanced control of diabetes and obesity through utilization of CHIP.

Global epidemiology, health burden and effective interventions for elevated blood pressure and hypertension

High blood pressure is one of the most important risk factors for ischaemic heart disease, stroke, other cardiovascular diseases, chronic kidney disease and dementia. Mean blood pressure and the prevalence of raised blood pressure have declined substantially in high-income regions since at least the 1970s. By contrast, blood pressure has risen in East, South and Southeast Asia, Oceania and sub-Saharan Africa. Given these trends, the prevalence of hypertension is now higher in low-income and middle-income countries than in high-income countries. In 2015, an estimated 8.5 million deaths were attributable to systolic blood pressure >115 mmHg, 88% of which were in low-income and middle-income countries. Measures such as increasing the availability and affordability of fresh fruits and vegetables, lowering the sodium content of packaged and prepared food and staples such as bread, and improving the availability of dietary salt substitutes can help lower blood pressure in the entire population. The use and effectiveness of hypertension treatment vary substantially across countries. Factors influencing this variation include a country's financial resources, the extent of health insurance and health facilities, how frequently people interact with physicians and non-physician health personnel, whether a clear and widely adopted clinical guideline exists and the availability of medicines. Scaling up treatment coverage and improving its community effectiveness can substantially reduce the health burden of hypertension.

County-Level Contextual Characteristics and Disparities in Life Expectancy

OBJECTIVE

To estimate the contribution of county-level contextual factors to differences in life expectancy in the United States.

METHODS

We used a counterfactual approach to estimate the years of life expectancy lost associated with 45 potentially modifiable county-level contextual characteristics in the United States in the year 2016. Contextual data and life expectancy data were obtained from the County Health Ranking Project and the U.S. Small-Area Life Expectancy Estimates Project, respectively.

RESULTS

Median census-tract-level life expectancy was 78.90 (interquartile range, 76.30-81.00) years, and the range across census tracts spanned 41.20 years. Large variations in life expectancy existed within and between states and within and between counties; the gap between counties was 20.30 years and gaps within counties ranged from 0 to 34.60 years. An array of 45 county-level factors was associated with 4.30 years of life expectancy loss. County-level adult smoking, food insecurity, adult obesity, physical inactivity, college education, and median household income were associated with 1.24-, 0.89-, 0.58-, 0.35-, 0.33-, and 0.14-year losses in life expectancy, respectively; and altogether were associated with a 3.53-year loss in life expectancy. The contribution of contextual factors to years of life expectancy lost varied among states and was more pronounced in states with lower life expectancy and in areas of increased socioeconomic deprivation and increased percentage of Black race.

CONCLUSION

Substantial geographic variation in life expectancy was observed. Six county-level contextual factors were associated with a 3.53-year loss in life expectancy. The findings may inform and help prioritize approaches to reduce inequalities in life expectancy in the United States.

Primary and Secondary Prevention of Lung Cancer: Tobacco Treatment

Tobacco dependence is the most consequential target to reduce the burden of lung cancer worldwide. Quitting after a cancer diagnosis can improve cancer prognosis, overall health, and quality of life. Several oncology professional organizations have issued guidelines stressing the importance of tobacco treatment for patients with cancer. Providing tobacco treatment in the context of lung cancer screening is another opportunity to further reduce death from lung cancer. In this review, the authors describe the current state of tobacco dependence treatment focusing on new paradigms and approaches and their particular relevance for persons at risk or on treatment for lung cancer.

Predicting Optimal Hypertension Treatment Pathways Using Recurrent Neural Networks

BACKGROUND

In ambulatory care settings, physicians largely rely on clinical guidelines and guideline-based clinical decision support (CDS) systems to make decisions on hypertension treatment. However, current clinical evidence, which is the knowledge base of clinical guidelines, is insufficient to support definitive optimal treatment.

OBJECTIVE

The goal of this study is to test the feasibility of using deep learning predictive models to identify optimal hypertension treatment pathways for individual patients, based on empirical data available from an electronic health record database.

MATERIALS AND METHODS

This study used data on 245,499 unique patients who were initially diagnosed with essential hypertension and received anti-hypertensive treatment from January 1, 2001 to December 31, 2010 in ambulatory care settings. We used recurrent neural networks (RNN), including long short-term memory (LSTM) and bi-directional LSTM, to create risk-adapted models to predict the probability of reaching the BP control targets associated with different BP treatment regimens. The ratios for the training set, the validation set, and the test set were 6:2:2. The samples for each set were independently randomly drawn from individual years with corresponding proportions.

RESULTS

The LSTM models achieved high accuracy when predicting individual probability of reaching BP goals on different treatments: for systolic BP (<140 mmHg), diastolic BP (<90 mmHg), and both systolic BP and diastolic BP (<140/90 mmHg), F1-scores were 0.928, 0.960, and 0.913, respectively.

CONCLUSIONS

The results demonstrated the potential of using predictive models to select optimal hypertension treatment pathways. Along with clinical guidelines and guideline-based CDS systems, the LSTM models could be used as a powerful decision-support tool to form risk-adapted, personalized strategies for hypertension treatment plans, especially for difficult-to-treat patients.

Risk Factors for Cancer-specific Mortality and Cardiovascular Mortality in Patients With Diffuse Large B-cell Lymphoma

BACKGROUND

The purpose of this study was to assess the risk factors for cancer-specific mortality and cardiovascular mortality in patients with diffuse large B-cell lymphoma (DLBCL).

PATIENTS AND METHODS

A retrospective cohort study involving patients with DLBCL who were registered in the Surveillance, Epidemiology, and End Results (SEER) database was performed. The risk factors for cancer-specific mortality and cardiovascular mortality were analyzed using the competing risk regression model.

RESULTS

A total of 62,950 patients with DLBCL were enrolled, of which 23,302 (37.50%) died of cancer and 2940 (4.70%) died of cardiovascular disease. The competing risk multivariate analysis displayed that age at diagnosis (hazard ratio [HR], 1.033; 95% confidence interval [CI], 1.032-1.034), marriedstatus (HR, 1.293; 95% CI, 1.241-1.347), black race (HR, 1.079; 95% CI, 1.021-1.139), and tumor stage (II: HR, 1.143; 95%CI, 1.095-1.192; III: HR, 1.459; 95% CI, 1.395-1.526; IV: HR, 1.961; 95% CI. 1.889-2.035) were the risk factors for cancer-specific mortality, but not female gender (HR, 0.938; 95% CI, 0.913,0.965) or treatment modalities (chemotherapy: HR, 0.522; 95% CI, 0.505-0.540; radiotherapy: HR, 0.782; 95% CI, 0.728-0.839; chemotherapy + radiotherapy: HR, 0.422; 95% CI, 0.403-0.441). Age at diagnosis (HR, 1.059; 95% CI, 1.055-1.062) and black race (HR, 1.246; 95% CI, 1.067-1.456) were the risk factors for cardiovascular mortality rather than female gender (HR, 0.803; 95% CI, 0.743-0.867) and married status (HR, 0.841; 95% CI, 0.745-0.950).

CONCLUSIONS

Age at diagnosis, married status, black race, and higher tumor stage are associated with an increased risk of cancer-specific mortality in patients with DLBCL, whereas age at diagnosis and black race are associated with a higher risk of cardiovascular mortality.

Impact of preexisting type 2 diabetes mellitus and antidiabetic drugs on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer

BACKGROUND

We investigated the influence preexisting type 2 diabetes mellitus (T2DM) and antidiabetic drugs have on all-cause and cause-specific mortality among Medicaid-insured women diagnosed with breast cancer.

METHODS

9221 women aged <64 years diagnosed with breast cancer and reported to the New York State (NYS) Cancer Registry from 2004 to 2016 were linked with Medicaid claims. Preexisting T2DM was determined by three diagnosis claims for T2DM with at least one claim prior to breast cancer diagnosis and a prescription claim for an antidiabetic drug within three months following breast cancer diagnosis. Estimated menopausal status was determined by age (premenopausal age <50; postmenopausal age ≥50). Hazard ratios (HR) and 95 % confidence intervals (95 %CI) were calculated with Cox proportional hazards regression, adjusting for confounders.

RESULTS

Women with preexisting T2DM had greater all-cause (HR = 1.40; 95 %CI 1.21, 1.63), cancer-specific (HR = 1.24; 95 %CI 1.04, 1.47), and cardiovascular-specific (HR = 2.46; 95 %CI 1.54, 3.90) mortality hazard compared to nondiabetic women. In subgroup analyses, the association between T2DM and all-cause mortality was found among non-Hispanic White (HR 1.78 95 %CI 1.38, 2.30) and postmenopausal (HR = 1.47; 95 %CI 1.23, 1.77) women, but not among other race/ethnicity groups or premenopausal women. Additionally, compared to women prescribed metformin, all-cause mortality hazard was elevated among women prescribed sulfonylurea (HR = 1.44; 95 %CI 1.06, 1.94) or insulin (HR = 1.54; 95 %CI 1.12, 2.11).

CONCLUSION

Among Medicaid-insured women with breast cancer, those with preexisting T2DM have an increased mortality hazard, especially when prescribed sulfonylurea or insulin. Further research is warranted to determine the role antidiabetic drugs have on survival among women with breast cancer.

Lower rates of cancer and all-cause mortality in an Adventist cohort compared with a US Census population

BACKGROUND

Previous research suggests that Adventists, who often follow vegetarian diets, live longer and have lower risks for many cancers than others, but there are no national data and little published comparative data for black subjects.

METHODS

This study compared all-cause mortality and cancer incidence between the nationally inclusive Adventist Health Study 2 (AHS-2) and nonsmokers in US Census populations: the National Longitudinal Mortality Study (NLMS) and its Surveillance, Epidemiology, and End Results substudy. Analyses used proportional hazards regression adjusting for age, sex, race, cigarette smoking history, and education.

RESULTS

All-cause mortality and all-cancer incidence in the black AHS-2 population were significantly lower than those for the black NLMS populations (hazard ratio [HR] for mortality, 0.64; 95% confidence interval [CI], 0.59-0.69; HR for incidence, 0.78; 95% CI, 0.68-0.88). When races were combined, estimated all-cause mortality was also significantly lower in the AHS-2 population at the age of 65 years (HR, 0.67; 95% CI, 0.64-0.69) and at the age of 85 years (HR, 0.78; 95% CI, 0.75-0.81), as was cancer mortality; this was also true for the rate of all incident cancers combined (HR, 0.70; 95% CI, 0.67-0.74) and the rates of breast, colorectal, and lung cancers. Survival curves confirmed the mortality results and showed that among males, AHS-2 blacks survived longer than white US subjects.

CONCLUSIONS

Substantially lower rates of all-cause mortality and cancer incidence among Adventists have implications for the effects of lifestyle and perhaps particularly diet on the etiology of these health problems. Trends similar to those seen in the combined population are also found in comparisons of black AHS-2 and NLMS subjects.

Black and White Differences in Life Expectancy in 4 US States, 1969-2013

OBJECTIVES

Racial differences in mortality in the United States have narrowed and vary by time and place. The objectives of our study were to (1) examine the gap in life expectancy between white and black persons (hereinafter, racial gap in life expectancy) in 4 states (California, Georgia, Illinois, and New York) and (2) estimate trends in the contribution of major causes of death (CODs) to the racial gap in life expectancy by age group.

METHODS

We extracted data on the number of deaths and population sizes for 1969-2013 by state, sex, race, age group, and 6 major CODs. We used a Bayesian time-series model to smooth and impute mortality rates and decomposition methods to estimate trends in sex- and age-specific contributions of CODs to the racial gap in life expectancy.

RESULTS

The racial gap in life expectancy at birth decreased in all 4 states, especially among men in New York (from 8.8 to 1.1 years) and women in Georgia (from 8.0 to 1.7 years). Although few deaths occurred among persons aged 1-39, racial differences in mortality at these ages (mostly from injuries and infant mortality) contributed to the racial gap in life expectancy, especially among men in California (1.0 year of the 4.3-year difference in 2013) and Illinois (1.9 years of the 6.7-year difference in 2013). Cardiovascular deaths contributed most to the racial gap in life expectancy for adults aged 40-64, but contributions decreased among women aged 40-64, especially in Georgia (from 2.8 to 0.5 years). The contribution of cancer deaths to inequality increased in California and Illinois, whereas New York had the greatest reductions in inequality attributable to cancer deaths (from 0.6 to 0.2 years among men and from 0.2 to 0 years among women).

CONCLUSIONS

Future research should identify policy innovations and economic changes at the state level to better understand New York's success, which may help other states emulate its performance.

The Burden of Cardiovascular Diseases Among US States, 1990-2016

Question

How does the total burden of cardiovascular diseases vary across US states?

Findings

In this study using the Global Burden of Disease methodology, large disparities in total burden of CVD were found between US states despite marked improvements in CVD burden.

Meaning

These estimates can provide a benchmark for states working to focus on key risk factors, improve health care quality, and lower health care costs.

Importance

Cardiovascular disease (CVD) is the leading cause of death in the United States, but regional variation within the United States is large. Comparable and consistent state-level measures of total CVD burden and risk factors have not been produced previously.

Objective

To quantify and describe levels and trends of lost health due to CVD within the United States from 1990 to 2016 as well as risk factors driving these changes.

Design, Setting, and Participants

Using the Global Burden of Disease methodology, cardiovascular disease mortality, nonfatal health outcomes, and associated risk factors were analyzed by age group, sex, and year from 1990 to 2016 for all residents in the United States using standardized approaches for data processing and statistical modeling. Burden of disease was estimated for 10 groupings of CVD, and comparative risk analysis was performed. Data were analyzed from August 2016 to July 2017.

Exposures

Residing in the United States.

Main Outcomes and Measures

Cardiovascular disease disability-adjusted life-years (DALYs).

Results

Between 1990 and 2016, age-standardized CVD DALYs for all states decreased. Several states had large rises in their relative rank ordering for total CVD DALYs among states, including Arkansas, Oklahoma, Alabama, Kentucky, Missouri, Indiana, Kansas, Alaska, and Iowa. The rate of decline varied widely across states, and CVD burden increased for a small number of states in the most recent years. Cardiovascular disease DALYs remained twice as large among men compared with women. Ischemic heart disease was the leading cause of CVD DALYs in all states, but the second most common varied by state. Trends were driven by 12 groups of risk factors, with the largest attributable CVD burden due to dietary risk exposures followed by high systolic blood pressure, high body mass index, high total cholesterol level, high fasting plasma glucose level, tobacco smoking, and low levels of physical activity. Increases in risk-deleted CVD DALY rates between 2006 and 2016 in 16 states suggest additional unmeasured risks beyond these traditional factors.

Conclusions and Relevance

Large disparities in total burden of CVD persist between US states despite marked improvements in CVD burden. Differences in CVD burden are largely attributable to modifiable risk exposures.

Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis

BACKGROUND

Exposure to fine particulate matter pollution (PM2.5) is hazardous to health. Our aim was to directly estimate the health and longevity impacts of current PM2.5 concentrations and the benefits of reductions from 1999 to 2015, nationally and at county level, for the entire contemporary population of the contiguous United States.

METHODS AND FINDINGS

We used vital registration and population data with information on sex, age, cause of death, and county of residence. We used four Bayesian spatiotemporal models, with different adjustments for other determinants of mortality, to directly estimate mortality and life expectancy loss due to current PM2.5 pollution and the benefits of reductions since 1999, nationally and by county. The covariates included in the adjusted models were per capita income; percentage of population whose family income is below the poverty threshold, who are of Black or African American race, who have graduated from high school, who live in urban areas, and who are unemployed; cumulative smoking; and mean temperature and relative humidity. In the main model, which adjusted for these covariates and for unobserved county characteristics through the use of county-specific random intercepts, PM2.5 pollution in excess of the lowest observed concentration (2.8 μg/m3) was responsible for an estimated 15,612 deaths (95% credible interval 13,248-17,945) in females and 14,757 deaths (12,617-16,919) in males. These deaths would lower national life expectancy by an estimated 0.15 years (0.13-0.17) for women and 0.13 years (0.11-0.15) for men. The life expectancy loss due to PM2.5 was largest around Los Angeles and in some southern states such as Arkansas, Oklahoma, and Alabama. At any PM2.5 concentration, life expectancy loss was, on average, larger in counties with lower income and higher poverty rate than in wealthier counties. Reductions in PM2.5 since 1999 have lowered mortality in all but 14 counties where PM2.5 increased slightly. The main limitation of our study, similar to other observational studies, is that it is not guaranteed for the observed associations to be causal. We did not have annual county-level data on other important determinants of mortality, such as healthcare access and quality and diet, but these factors were adjusted for with use of county-specific random intercepts.

CONCLUSIONS

According to our estimates, recent reductions in particulate matter pollution in the USA have resulted in public health benefits. Nonetheless, we estimate that current concentrations are associated with mortality impacts and loss of life expectancy, with larger impacts in counties with lower income and higher poverty rate.

Putting 'place' in its place: Comparing place-based factors in interurban analyses of life expectancy in the United States

Extant interurban research in life expectancy greatly suffers from an underestimation of the role of place. Place is often conceptualized as a level of geography; this view ignores categorical differences between types of places. In addition, despite advances in theory and research that support their use, many important place-based factors remain under-utilized as control variables. We use multivariate analyses of life expectancy for the top and bottom quartiles of household income by sex in 148 US counties to compare the strengths of seventeen diverse variables. We find that cities' built, natural, and social environments play strong roles in life expectancy disparity among cities; many place-based variables consistently compare in strength to well-known control variables such as race, education, and behaviors. Furthermore, we find that place impacts men and women differently, even within the same income quartile. Indeed, some factors are associated with higher life expectancy in some demographic groups, and lower life expectancy in others. Researchers can protect against omitted variable bias when investigating public health outcomes by using a wider range of control variables. Researchers should also use better measures of place, and consider selecting specific cases to study.

Racial/Ethnic Disparities in Mortality Across the Veterans Health Administration

Purpose: Equal-access health care systems such as the Veterans Health Administration (VHA) reduce financial and nonfinancial barriers to care. It is unknown if such systems mitigate racial/ethnic mortality disparities, such as those well documented in the broader U.S. population. We examined racial/ethnic mortality disparities among VHA health care users, and compared racial/ethnic disparities in VHA and U.S. general populations. Methods: Linking VHA records for an October 2008 to September 2009 national VHA user cohort, and National Death Index records, we assessed all-cause, cancer, and cardiovascular-related mortality through December 2011. We calculated age-, sex-, and comorbidity-adjusted mortality hazard ratios. We computed sex-stratified, age-standardized mortality risk ratios for VHA and U.S. populations, then compared racial/ethnic disparities between the populations. Results: Among VHA users, American Indian/Alaskan Natives (AI/ANs) had higher adjusted all-cause mortality, whereas non-Hispanic Blacks had higher cause-specific mortality versus non-Hispanic Whites. Asians, Hispanics, and Native Hawaiian/Other Pacific Islanders had similar, or lower all-cause and cause-specific mortality versus non-Hispanic Whites. Mortality disparities were evident in non-Hispanic-Black men compared with non-Hispanic White men in both VHA and U.S. populations for all-cause, cardiovascular, and cancer (cause-specific) mortality, but disparities were smaller in VHA. VHA non-Hispanic Black women did not experience the all-cause and cause-specific mortality disparity present for U.S. non-Hispanic Black women. Disparities in all-cause and cancer mortality existed in VHA but not in U.S. population AI/AN men. Conclusion: Patterns in racial/ethnic disparities differed between VHA and U.S. populations, with fewer disparities within VHAs equal-access system. Equal-access health care may partially address racial/ethnic mortality disparities, but other nonhealth care factors should also be explored.

Community-Engaged Lifestyle Medicine as a Framework for Health Equity: Principles for Lifestyle Medicine in Low-Resource Settings

Lifestyle risk factors, including tobacco and alcohol use, poor nutrition, and inactivity, comprise the leading actual causes of death and disproportionately affect diverse, lower-income and vulnerable populations. Fundamentally influenced by social determinants of health (including poverty, social linkages, food access, and built environment), these "unhealthy lifestyle" exposures perpetuate and sustain disparities in health outcomes, stealing years of healthy and productive life for minority, vulnerable groups. The authors call for implementation of a health equity framework within lifestyle medicine (LM). Community-engaged lifestyle medicine (CELM) is an evidence-based, participatory framework capable of addressing health disparities through LM, targeting health equity in addition to better health. CELM was developed in 2015 by the University of Texas Rio Grande Valley (UTRGV) Preventive Medicine Residency program to address lifestyle-related health disparities within marginalized border communities. The framework includes the following evidence-based principles: community engagement, cultural competency, and application of multilevel and intersectoral approaches. The rationale for each of these components and the growth of CELM within the American College of Lifestyle Medicine is described. Finally, illustrative examples are provided for how CELM can be instituted at micro and macro levels by LM practitioners.

Access to a scale and self-weighing habits among public housing residents

Having access to a scale is essential for individuals to engage in self-weighing; however, few studies examine scale access, particularly among low-income individuals. Our objectives were to (i) determine how many public housing residents have access to a scale and (ii) describe their self-weighing habits. We conducted a cross-sectional survey of public housing residents in Baltimore, MD, from August 2014 to August 2015. Participants answered questions about their access to a scale ('yes'/'no') and daily self-weighing habits ('no scale/never or hardly ever' vs. 'some/about half/much of the time/always'). We used t-tests or chi-square tests to examine the association of scale access with respondent characteristics. Overall, 266 adults participated (48% response rate). Mean age was 45 years with 86% women, 95% black and 54% with obesity. Only 32% had access to a scale; however, 78% of those with this access reported engaging in some self-weighing. Residents who lacked access to a scale were younger (P = 0.03), and more likely to be unemployed/disabled (P = 0.01) or food insecure (P < 0.01). While few public housing residents have access to a scale, those who do report daily self-weighing with some regularity. Financial hardship may influence scale access in this population, as potential proxies of this status were associated with no scale access.

The pharmacist's role in improving the treatment of erectile dysfunction and its underlying causes

Erectile dysfunction (ED), which worldwide is likely to affect in excess of 300 million men by 2025, is often either untreated or insufficiently treated. It can be a prelude to other serious illnesses and may be a cause or consequence of depression in affected individuals. Among men younger than 60 years of age, ED can be a robust early-stage indicator of vascular disease and type 2 diabetes. Untreated or inadequately treated ED can also be a sign of poor communication between health professionals and service users of all ages. Improved treatment of ED could cost-effectively prevent premature deaths and avoidable morbidity. The extension of community pharmacy‒based health care would enable more men living with ED to safely access effective medications, along with appropriate diagnostic services and support for beneficial lifestyle changes such as smoking cessation in conveniently accessible settings. The task of introducing improved methods of affordably addressing problems linked to ED exemplifies the strategic challenges now facing health care systems globally. Promoting professionally supported self-care in pharmacies has the potential to meet the needs of aging populations in progressively more effective ways.

Good Things in Small Packages? Evaluating an Economy of Scale Approach to Behavioral Health Promotion in Rural America

Rural American youth exhibit pronounced health disparities. This study enlists insights from an economy of scale paradigm to determine the relative effects of serving smaller versus larger client groups in an assembly-style school-based behavioral health promotion program. Evaluation results are reported from a three-year intervention delivered to eighth-grade and tenth-grade rural Mississippi students from 2012 to 2015. The program, I Got U: Healthy Life Choices for Teens, coupled a day-long intensive immersion in youth risk prevention and mental health promotion with school-based information dissemination. Results reveal robust effectiveness in program years 1 and 2, during which caps of 175 attendees per event were imposed. Salutary results were no longer evident during year 3, when larger venues were used to serve over three times the number of students per event. This program teaches valuable lessons about the potential for diminishing returns yielded by an economy of scale approach to implementation.

Associations between Urban Sprawl and Life Expectancy in the United States

In recent years, the United States has had a relatively poor performance with respect to life expectancy compared to the other developed nations. Urban sprawl is one of the potential causes of the high rate of mortality in the United States. This study investigated cross-sectional associations between sprawl and life expectancy for metropolitan counties in the United States in 2010. In this study, the measure of life expectancy in 2010 came from a recently released dataset of life expectancies by county. This study modeled average life expectancy with a structural equation model that included five mediators: annual vehicle miles traveled (VMT) per household, average body mass index, crime rate, and air quality index as mediators of sprawl, as well as percentage of smokers as a mediator of socioeconomic status. After controlling for sociodemographic characteristics, this study found that life expectancy was significantly higher in compact counties than in sprawling counties. Compactness affects mortality directly, but the causal mechanism is unclear. For example, it may be that sprawling areas have higher traffic speeds and longer emergency response times, lower quality and less accessible health care facilities, or less availability of healthy foods. Compactness affects mortality indirectly through vehicle miles traveled, which is a contributor to traffic fatalities, and through body mass index, which is a contributor to many chronic diseases. This study identified significant direct and indirect associations between urban sprawl and life expectancy. These findings support further research and practice aimed at identifying and implementing changes to urban planning designed to support health and healthy behaviors.

Ciclovia in a Rural Latino Community: Results and Lessons Learned

CONTEXT

Ciclovias involve the temporary closure of roads to motorized vehicles, allowing for use by bicyclists, walkers, and runners and for other physical activity. Ciclovias have been held in urban and suburban communities in the United States and Latin America.

OBJECTIVE

We evaluated the first ciclovia held in a rural, predominantly Latino community in Washington State.

SETTING

Three blocks within a downtown area in a rural community were closed for 5 hours on a Saturday in July 2015.

OUTCOME MEASURES

The evaluation included observation counts and participant intercept surveys.

RESULTS

On average, 200 participants were present each hour. Fourteen percent of youth (younger than 18 years) were observed riding bikes. No adults were observed riding bikes. A total of 38 surveys were completed. Respondents reported spending on average 2 hours at the ciclovia. Seventy-nine percent reported that they would have been indoors at home involved in sedentary activities (such as watching TV, working on computer) if they had not been at the ciclovia.

CONCLUSION

Regularly held ciclovias, which are free and open to anyone, could play an important role in creating safe, accessible, and affordable places for physical activity in rural areas. Broad community input is important for the success of a ciclovia.

Racial and Ethnic Difference in Falls Among Older Adults: Results from the California Health Interview Survey

BACKGROUND

Research suggests that fall risk among older adults varies by racial/ethnic groups; however, few studies have examined fall risk among Hispanics and Asian American older adults.

METHODS

Using 2011-2012 California Health Interview Survey data, this study examines falling ≥2 times in the past year by racial/ethnic groups (Asian Americans, Hispanics, and Blacks) aged ≥65, adjusting for socio-demographic characteristics, body mass index, co-morbidities, and functional limitations. A secondary analysis examines differences in fall risk by English language proficiency and race/ethnicity among Asian Americans and Hispanics.

RESULTS

Asian Americans were significantly less likely to fall compared to non-Hispanic whites, individuals with ≥2 chronic diseases were significantly more likely to fall than individuals with <2 chronic diseases, and many functional limitations were significantly associated with fall risk, when adjusting for all factors. African Americans and Hispanics did not differ significantly from non-Hispanic whites. Analysis adjusting for race/ethnicity and English language proficiency found that limited English proficient Asian Americans were significantly less likely to fall compared to non-Hispanic whites, individuals with ≥2 chronic diseases were significantly more likely to fall than individuals with <2 chronic diseases, and all functional limitations were significantly associated with fall risk, when adjusting for all factors. No differences were found when examining by racial/ethnic and English proficient/limited English proficient groups.

CONCLUSION

Further research is needed to explore factors associated with fall risks across racial/ethnic groups. Culturally relevant and targeted interventions are needed to prevent falls and subsequent injuries in the increasingly diverse aging population in the USA.

Population Well-Being Measures Help Explain Geographic Disparities In Life Expectancy At The County Level

Geographic disparities in life expectancy are substantial and not fully explained by differences in race and socioeconomic status. To develop policies that address these inequalities, it is essential to identify other factors that account for this variation. In this study we investigated whether population well-being-a comprehensive measure of physical, mental, and social health-helps explain geographic variation in life expectancy. At the county level, we found that for every 1-standard-deviation (4.2-point) increase in the well-being score, life expectancy was 1.9 years higher for females and 2.6 years higher for males. Life expectancy and well-being remained positively associated, even after race, poverty, and education were controlled for. In addition, well-being partially mediated the established associations of race, poverty, and education with life expectancy. These findings highlight well-being as an important metric of a population's health and longevity and as a promising focus for intervention.

Understanding Family-Level Effects of Adult Chronic Disease Management Programs: Perceived Influences of Behavior Change on Adolescent Family Members' Health Behaviors Among Low-Income African Americans With Uncontrolled Hypertensions

Background: Despite improvements in cardiovascular disease (CVD) prevention and treatment, low-income African Americans experience disparities in CVD-related morbidity and mortality. Childhood obesity disparities and poor diet and physical activity behaviors contribute to CVD disparities throughout the life course. Given the potential for intergenerational transmission of CVD risk, it is important to determine whether adult disease management interventions could be modified to achieve family-level benefits and improve primary prevention among high-risk youth. Objective: To explore mechanisms by which African-American adults' (referred to as index patients) participation in a hypertension disease management trial influences adolescent family members' (referred to as adolescents) lifestyle behaviors. Design/Methods: The study recruited index patients from the Achieving blood pressure Control Together (ACT) study who reported living with an adolescent ages 12-17 years old. Index patients and adolescents were recruited for in-depth interviews and were asked about any family-level changes to diet and physical activity behaviors during or after participation in the ACT study. If family-level changes were described, index patients and adolescents were asked whether role modeling, changes in the home food environment, meal preparation, and family functioning contributed to these changes. These mechanisms were hypothesize to be important based on existing research suggesting that parental involvement in childhood obesity interventions influences child and adolescent weight status. Thematic content analysis of transcribed interviews identified both a priori and emergent themes. Results: Eleven index patients and their adolescents participated in in-depth interviews. Index patients and adolescents both described changes to the home food environment and meal preparation. Role modeling was salient to index patients, particularly regarding healthy eating behaviors. Changes in family functioning due to study participation were not endorsed by index patients or adolescents. Emergent themes included adolescent care-taking of index patients and varying perceptions by index patients of their influence on adolescents' health behaviors. Conclusions: Our findings suggest that disease management interventions directed at high-risk adult populations may influence adolescent family members' health behaviors. We find support for the hypotheses that role modeling and changes to the home food environment are mechanisms by which family-level health behavior change occurs. Adolescents' roles as caretakers for index patients emerged as another potential mechanism. Future research should explore these mechanisms and ways to leverage disease management to support both adult and adolescent health behavior change.

Public Health Spending and Medicare Resource Use: A Longitudinal Analysis of U.S. Communities

OBJECTIVE

To examine whether local expenditures for public health activities influence area-level medical spending for Medicare beneficiaries.

DATA SOURCES AND SETTING

Six census surveys of the nation's 2,900 local public health agencies were conducted between 1993 and 2013, linked with contemporaneous information on population demographics, socioeconomic characteristics, and area-level Medicare spending estimates from the Dartmouth Atlas of Health Care.

DATA COLLECTION/EXTRACTION

Measures derive from agency survey data and aggregated Medicare claims.

STUDY DESIGN

A longitudinal cohort design follows the geographic areas served by local public health agencies. Multivariate, fixed-effects, and instrumental-variables regression models estimate how area-level Medicare spending changes in response to shifts in local public health spending, controlling for observed and unmeasured confounders.

PRINCIPAL FINDINGS

A 10 percent increase in local public health spending per capita was associated with 0.8 percent reduction in adjusted Medicare expenditures per person after 1 year (p < .01) and a 1.1 percent reduction after 5 years (p < .05). Estimated Medicare spending offsets were larger in communities with higher rates of poverty, lower health insurance coverage, and health professional shortages.

CONCLUSIONS

Expanded financing for public health activities may provide an effective way of constraining Medicare spending, particularly in low-resource communities.

Waist Circumference is Associated with Blood Pressure in Children with Normal Body Mass Index: A Cross-Sectional Analysis of 3,417 School Children

Background

The prevalence of childhood obesity and associated conditions, such as hypertension, has become a major problem of public health. Although waist circumference (WC) is a marker of cardiovascular risk in adults, it is unclear whether this index is associated with cardiovascular risk factors in children.

Objective

Our aim was to evaluate the association between increased WC and elevated blood pressure (BP) in children with normal body mass index (BMI) ranges.

Methods

Cross-sectional evaluation of students between 6 and 11 years with normal BMI. WC was categorized by quartile for each age group. Normal BP was defined as values < 90th percentile, and levels above this range were considered elevated. Values of p < 0.05 were considered statistically significant.

Results

Of the 5,037 children initially assessed, 404 (8%) were excluded for being underweight and 1,216 (24.1%) were excluded for being overweight or obese. A final sample of 3,417 children was evaluated. The prevalence of elevated BP was 10.7%. In children with WC in the lowest quartile, the prevalence of elevated BP was 8.1%. This prevalence increased in upper quartiles: 10.6% in the second, 12.4% in third and 12.1% in the upper quartile. So, in this group, being in the highest WC quartile was associated with a 57% higher likelihood to present elevated BP when compared to those in the lowest quartile (Q4 vs Q1; OR 1.57 - 95%CI 1.14 - 2.17).

Conclusion

In children aged 6 to 11 years, increased waist circumference is associated with elevated BP even when BMI is normal.

Racial And Ethnic Disparities Persist At Veterans Health Administration Patient-Centered Medical Homes

Patient-centered medical homes are widely promoted as a primary care delivery model that achieves better patient outcomes. It is unknown if their benefits extend equally to all racial/ethnic groups. In 2010 the Veterans Health Administration, part of the Department of Veterans Affairs (VA), began implementing patient-centered medical homes nationwide. In 2009 significant disparities in hypertension or diabetes control were present for most racial/ethnic groups, compared with whites. In 2014 hypertension disparities were similar for blacks, had become smaller but remained significant for Hispanics, and were no longer significant for multiracial veterans, whereas disparities had become significant for American Indians/Alaska Natives and Native Hawaiians/other Pacific Islanders. By contrast, in 2014 diabetes disparities were similar for American Indians/Alaska Natives, blacks, and Hispanics, and were no longer significant for Native Hawaiians/other Pacific Islanders. We found that the modest benefits of the VA's implementation of patient-centered medical homes were offset by competing multifactorial external, health system, provider, and patient factors, such as increased patient volume. To promote health equity, health care innovations such as patient-centered medical homes should incorporate tailored strategies that account for determinants of racial/ethnic variations. Evaluations of patient-centered medical homes should monitor outcomes for racial/ethnic groups.

Reducing US cardiovascular disease burden and disparities through national and targeted dietary policies: A modelling study

BACKGROUND

Large socio-economic disparities exist in US dietary habits and cardiovascular disease (CVD) mortality. While economic incentives have demonstrated success in improving dietary choices, the quantitative impact of different dietary policies on CVD disparities is not well established. We aimed to quantify and compare the potential effects on total CVD mortality and disparities of specific dietary policies to increase fruit and vegetable (F&V) consumption and reduce sugar-sweetened beverage (SSB) consumption in the US.

METHODS AND FINDINGS

Using the US IMPACT Food Policy Model and probabilistic sensitivity analyses, we estimated and compared the reductions in CVD mortality and socio-economic disparities in the US population potentially achievable from 2015 to 2030 with specific dietary policy scenarios: (a) a national mass media campaign (MMC) aimed to increase consumption of F&Vs and reduce consumption of SSBs, (b) a national fiscal policy to tax SSBs to increase prices by 10%, (c) a national fiscal policy to subsidise F&Vs to reduce prices by 10%, and (d) a targeted policy to subsidise F&Vs to reduce prices by 30% among Supplemental Nutrition Assistance Program (SNAP) participants only. We also evaluated a combined policy approach, combining all of the above policies. Data sources included the Surveillance, Epidemiology, and End Results Program, National Vital Statistics System, National Health and Nutrition Examination Survey, and published meta-analyses. Among the individual policy scenarios, a national 10% F&V subsidy was projected to be most beneficial, potentially resulting in approximately 150,500 (95% uncertainty interval [UI] 141,400-158,500) CVD deaths prevented or postponed (DPPs) by 2030 in the US. This far exceeds the approximately 35,100 (95% UI 31,700-37,500) DPPs potentially attributable to a 30% F&V subsidy targeting SNAP participants, the approximately 25,800 (95% UI 24,300-28,500) DPPs for a 1-y MMC, or the approximately 31,000 (95% UI 26,800-35,300) DPPs for a 10% SSB tax. Neither the MMC nor the individual national economic policies would significantly reduce CVD socio-economic disparities. However, the SNAP-targeted intervention might potentially reduce CVD disparities between SNAP participants and SNAP-ineligible individuals, by approximately 8% (10 DPPs per 100,000 population). The combined policy approach might save more lives than any single policy studied (approximately 230,000 DPPs by 2030) while also significantly reducing disparities, by approximately 6% (7 DPPs per 100,000 population). Limitations include our effect estimates in the model; these estimates use interventional and prospective observational studies (not exclusively randomised controlled trials). They are thus imperfect and should be interpreted as the best available evidence. Another key limitation is that we considered only CVD outcomes; the policies we explored would undoubtedly have additional beneficial effects upon other diseases. Further, we did not model or compare the cost-effectiveness of each proposed policy.

CONCLUSIONS

Fiscal strategies targeting diet might substantially reduce CVD burdens. A national 10% F&V subsidy would save by far the most lives, while a 30% F&V subsidy targeting SNAP participants would most reduce socio-economic disparities. A combined policy would have the greatest overall impact on both mortality and socio-economic disparities.

Adult mortality of diseases and injuries attributable to selected metabolic, lifestyle, environmental, and infectious risk factors in Taiwan: a comparative risk assessment

Background

To facilitate priority-setting in health policymaking, we compiled the best available information to estimate the adult mortality (>30 years) burden attributable to 13 metabolic, lifestyle, infectious, and environmental risk factors in Taiwan.

Methods

We obtained data on risk factor exposure from nationally representative health surveys, cause-specific mortality from the National Death Registry, and relative risks from epidemiological studies and meta-analyses. We applied the comparative risk assessment framework to estimate mortality burden attributable to individual risk factors or risk factor clusters.

Results

In 2009, high blood glucose accounted for 14,900 deaths (95% UI: 11,850–17,960), or 10.4% of all deaths in that year. It was followed by tobacco smoking (13,340 deaths, 95% UI: 10,330–16,450), high blood pressure (11,190 deaths, 95% UI: 8,190–14,190), ambient particulate matter pollution (8,600 deaths, 95% UI: 7,370–9,840), and dietary risks (high sodium intake and low intake of fruits and vegetables, 7,890 deaths, 95% UI: 5,970–9,810). Overweight-obesity and physical inactivity accounted for 7,620 deaths (95% UI: 6,040–9,190), and 7,400 deaths (95% UI: 6,670–8,130), respectively. The cardiometabolic risk factors of high blood pressure, high blood glucose, high cholesterol, and overweight-obesity jointly accounted for 12,120 deaths (95% UI: 11,220–13,020) from cardiovascular diseases. For domestic risk factors, infections from hepatitis B virus (HBV) and hepatitis C virus (HCV) were responsible for 6,300 deaths (95% UI: 5,610–6,980) and 3,170 deaths (95% UI: 1,860–4,490), respectively, and betel nut use was associated with 1,780 deaths from oral, laryngeal, and esophageal cancer (95% UI: 1,190–2,360). The leading risk factors for years of life lost were similar, but the impact of tobacco smoking and alcohol use became larger because the attributable deaths from these risk factors occurred among young adults aged less than 60 years.

Conclusions

High blood glucose, tobacco smoking, and high blood pressure are the major risk factors for deaths from diseases and injuries among Taiwanese adults. A large number of years of life would be gained if the 13 modifiable risk factors could be removed or reduced to the optimal level.

Electronic supplementary material

The online version of this article (doi:10.1186/s12963-017-0134-4) contains supplementary material, which is available to authorized users.

Increased Life Expectancy in New York City, 2001-2010: An Exploration by Cause of Death and Demographic Characteristics

OBJECTIVE

New York City's (NYC's) life expectancy gains have been greater than those seen nationally. We examined life-expectancy changes over the past decade in selected NYC subpopulations and explored which age groups and causes of death contributed most to the increases.

METHODS

We calculated life expectancy with 95% confidence intervals (CIs) for 2001-2010 by sex and race/ethnicity. Life expectancy was decomposed by age group and cause of death. Logistic regressions were conducted to reinforce the results from decomposition by controlling confounders.

RESULTS

Overall, NYC residents' life expectancy at birth increased from 77.9 years (95% CI, 77.8-78.0) in 2001 to 80.9 years (95% CI, 80.8-81.0) in 2010. Decreases in deaths from heart disease, cancer, and HIV disease accounted for 50%, 16%, and 11%, respectively, of the gains. Decreased mortality in older age groups (≥65 years) accounted for 45.6% of the overall change.

CONCLUSIONS

Life expectancy increased for both sexes, across all racial/ethnic groups, and for both the US-born and the foreign-born. Disparities in life expectancy decreased as overall life expectancy increased. Decreased mortality among older adults and from heart disease, cancer, and HIV infection accounted for most of the increases.

County-Level Variation in Cardiovascular Disease Mortality in the United States in 2009-2013: Comparative Assessment of Contributing Factors

We examined factors responsible for variation in cardiovascular disease (CVD) mortality across US counties in 2009-2013. We linked county-level census, survey, administrative, and vital statistics data to examine 4 sets of features: demographic factors, social and economic factors, health-care utilization and features of the environment, and population health indicators. County-level associations of these features (standardized to a mean of 0 with a standard deviation of 1) with cardiovascular deaths per 100,000 person-years among adults aged 45-74 years was modeled using 2-level hierarchical linear regression with random intercept for state. The percentage of CVD mortality variation (intercounty disparity) modeled by each set of features was quantified. Demographic composition accounted for 36% of county CVD mortality variation, and another 32% was explained after inclusion of economic/social conditions. Health-care utilization, features of the environment, and health indicators explained an additional 6% of CVD mortality variation. The largest contributors to CVD mortality levels were median income (-23.61 deaths/100,000 person-years, 95% CI: -26.95, -20.26) and percentage without a high school education (20.71 deaths/100,000 person-years, 95% CI: 16.48, 24.94). In comparison, the largest health-related contributors were health-care utilization (19.35 deaths/100,000 person-years, 95% CI: 16.36, 22.34) and CVD risk factors (4.80 deaths/100,000 person-years, 95% CI: 2.14, 7.46). Improving health-care access and decreasing the prevalence of traditional CVD risk factors may reduce county CVD mortality levels, but improving socioeconomic circumstances of disadvantaged counties will be required in order to reduce CVD mortality disparities across counties.

Worldwide Exposures to Cardiovascular Risk Factors and Associated Health Effects: Current Knowledge and Data Gaps

Information on exposure to, and health effects of, cardiovascular disease (CVD) risk factors is needed to develop effective strategies to prevent CVD events and deaths. Here, we provide an overview of the data and evidence on worldwide exposures to CVD risk factors and the associated health effects. Global comparative risk assessment studies have estimated that hundreds of thousands or millions of CVD deaths are attributable to established CVD risk factors (high blood pressure and serum cholesterol, smoking, and high blood glucose), high body mass index, harmful alcohol use, some dietary and environmental exposures, and physical inactivity. The established risk factors plus body mass index are collectively responsible for ≈9.7 million annual CVD deaths, with high blood pressure accounting for more CVD deaths than any other risk factor. Age-standardized CVD death rates attributable to established risk factors plus high body mass index are lowest in high-income countries, followed by Latin America and the Caribbean; they are highest in the region of central and eastern Europe and central Asia. However, estimates of the health effects of CVD risk factors are highly uncertain because there are insufficient population-based data on exposure to most CVD risk factors and because the magnitudes of their effects on CVDs in observational studies are likely to be biased. We identify directions for research and surveillance to better estimate the effects of CVD risk factors and policy options for reducing CVD burden by modifying preventable risk factors.

US Mortality: Influence of Race, Geography and Cardiovascular Risk Among Participants in the Population-Based REGARDS Cohort

OBJECTIVES

We evaluated whether differences in cardiovascular risk factors, as assessed by the Framingham risk scores for stroke and cardiovascular disease (FSRS and FCRS), contributed to disparities in all-cause mortality across race and regional strata of USA.

DESIGN

Race-region-specific FSRS and FCRS scores were computed for 30,086 REGARDS participants who were recruited between January 2003 and October 2007. They were divided across six regions of the "Eight Americas" and then compared after adjusting for race and sex. Kaplan-Meier curves and hazard ratios for all-cause mortality were estimated between regions, first adjusted for age and sex, and then for the risk scores.

RESULTS

After adjustment for age, sex, FCRS, and FSRS, there was no difference in mortality among Middle-America Whites versus Low-Income White. However, mortality was lower among Middle-America Blacks (-23 %; p = 0.06) and High-Risk Urban Blacks (-24 %; p = 0.01) compared to Southern Low-Income Rural Blacks. Compared to Middle-American Whites, mortality was higher among Middle-America Blacks (+39 %; p < 0.001), High-Risk Urban Blacks (+35 %; p < 0.001) and Southern Low-Income Rural Blacks (+85 %; p < 0.001).

CONCLUSION

Accounting for cardiovascular risk unmasked a greater disparity in mortality between Blacks and Whites and among Southern Rural Blacks compared to Middle-America Blacks and High-Risk Urban Blacks.

Sick Populations and Sick Subpopulations: Reducing Disparities in Cardiovascular Disease Between Blacks and Whites in the United States

BACKGROUND

Cardiovascular disease (CVD) death rates are much higher in blacks than whites in the United States. It is unclear how CVD risk and events are distributed among blacks versus whites and how interventions reduce racial disparities.

METHODS

We developed risk models for fatal and for fatal and nonfatal CVD using 8 cohorts in the United States. We used 6154 adults who were 50 to 69 years of age in the National Health and Nutrition Examination Survey 1999 to 2012 to estimate the distributions of risk and events in blacks and whites. We estimated the total and disparity impacts of a range of population-wide, targeted, and risk-based interventions on 10-year CVD risks and event rates.

RESULTS

Twenty-five percent (95% confidence interval [CI], 22-28) of black men and 12% (95% CI, 10-14) of black women were at ≥6.67% risk of fatal CVD (almost equivalent to 20% risk of fatal or nonfatal CVD) compared with 10% (95% CI, 8-12) of white men and 3% (95% CI, 2-4) of white women. These high-risk individuals accounted for 55% (95% CI, 49-59) of CVD deaths among black men and 42% (95% CI, 35-46) in black women compared with 30% (95% CI, 24-35) in white men and 18% (95% CI, 13-22) in white women. We estimated that an intervention that treated multiple risk factors in high-risk individuals could reduce black-white difference in CVD death rate from 1659 to 1244 per 100 000 in men and from 1320 to 897 in women. Rates of fatal and nonfatal CVD were generally similar between black and white men. In women, a larger proportion of women were at ≥7.5% risk of CVD (30% versus 19% in whites), and an intervention that targeted multiple risk factors among this group was estimated to reduce black-white differences in CVD rates from 1688 to 1197 per 100 000.

CONCLUSIONS

A substantially larger proportion of blacks have a high risk of fatal CVD and bear a large share of CVD deaths. A risk-based intervention that reduces multiple risk factors could substantially reduce overall CVD rates and racial disparities in CVD death rates.

Trends in the black-white life expectancy gap among US states, 1990-2009

Nationwide differences in US life expectancy trends for blacks and whites may mask considerable differences by state that are relevant to policies aimed at reducing health inequalities. We calculated annual state-specific life expectancies for blacks and whites from 1990 to 2009 using age-specific mortality counts and census-based denominators. Nationally, the black-white difference in life expectancy at birth shrank during the period by 2.7 years for males (from 8.1 to 5.4 years) and by 1.7 years for females (from 5.5 to 3.8 years). We found considerable variation across states in both the magnitude of the life expectancy gap (approximately fifteen years) and the change during the past two decades (about six years). Decomposition analysis showed that New York made the most profound contribution to reducing the gap, but less favorable trends in a number of states, notably California and Texas, kept the gap from shrinking further. Large state variations in the pace of change in the racial gap in life expectancy suggest that state-specific determinants merit further investigation.