The Role of Neighborhood Experiences in Psychological Distress among African American and White Smokers

Residential area characteristics and discrimination have been associated with psychological distress. Differences in these relationships across racial groups are not well understood. We examined the relative role of perceived discrimination, neighborhood problems, and neighborhood cohesion/trust in explaining differences in psychological distress (indicated by anxiety and depressive symptoms) between 224 African American and 225 white smokers (income ≤ 400% federal poverty level) in a smoking cessation intervention study. Surveys were linked to US census tract data. We conducted random intercept Poisson multilevel regression models and examined interactions between race and neighborhood experiences. African Americans had greater risk of anxiety and depressive symptoms and greater individual and neighborhood disadvantage than whites. Controlling for objective neighborhood characteristics, when perceived discrimination and perceived neighborhood characteristics were added to the regression models, the association between anxiety symptoms and race were no longer statistically significant; the association between depressive symptoms and race decreased, but remained statistically significant. Lower neighborhood social cohesion/trust and greater neighborhood problems increased depressive symptoms for African Americans, but not for whites. Perceived discrimination and neighborhood social cohesion/trust outweighed the importance of race in explaining anxiety symptoms. These findings underscore the need for multilevel interventions addressing social and environmental contexts

Suicide Mortality Risk in the United States by Sex and Age Groups

Overall individual health has been critically improved over the last century in the United States. However, among the leading causes of death, only suicide rates show a significant increase in recent decades and the increases have been even greater among females. This study is designed to better understand adult suicide mortality risk by sex and age groups using data from the National Health Interview Surveys linked to mortality information from the National Death Index (1986-2006). Our results from Cox proportional hazard models confirm that the social patterns in suicide mortality differ by sex: strong associations of education, marriage and bed disability days for males vs. weak or little associations for females. We also found variations in the associations across age groups. The findings provide useful insights for prevention to reduce adult suicide mortality

Health lifestyle behaviors among U.S. adults

Existing research that studies individual health behaviors and conceive of behaviors as simplistically reflecting narrow intentions toward health may obscure the social organization of health behaviors. Instead, we examine how eight health behaviors group together to form distinct health behavior niches. Using nationally-representative data from U.S. adults aged 18 and over from the 2004–2009 National Health Interview Survey (NHIS), we use Latent Class Analysis to identify classes of behavior based on smoking status, alcohol use, physical activity, physician visits, and flu vaccination. We identify 7 distinct health behavior classes including concordant health promoting (44%), concordant health compromising (26%), and discordant classes (30%). We find significant race/ethnic, sex, regional, and age differences in class membership. We show that health behavior classes are associated with prospective mortality, suggesting that they are valid representations of health lifestyles. We discuss the implications of our results for sociological theories of health behaviors, as well as for multiple behavior interventions seeking to improve population health

Race/ethnic and sex differentials in pulse pressure among us adults.

The prevalence of high blood pressure in the United States is a public health concern. This study uses the Third National Health and Nutrition Examination Survey (1988-1994) and linear regression to document variations in pulse pressure by race/ethnicity and sex in the United States. We find higher pulse pressures among racial and ethnic minorities than among non-Hispanic Whites and among males than females. The results indicate that the effect of race on pulse pressure decreases with the inclusion of various controls; nevertheless, African Americans maintain higher pulse pressures than non-Hispanic White Americans, even net of controls. Compared to females, males exhibit higher pulse pressures. Moreover, this sex gap progressively increases with controls for socioeconomic status and physical activity. Given the known health consequences associated with high pulse pressure, these results highlight the importance of better understanding and addressing the risk of high pulse pressure among demographic subpopulations in the United States

Reducing Low Birth Weight among African Americans in the Midwest: A Look at How Faith-Based Organizations Are Poised to Inform and Influence Health Communication on the Developmental Origins of Health and Disease (DOHaD)

Low birth weight (LBW) rates remain the highest among African Americans despite public health efforts to address these disparities; with some of the highest racial disparities in the Midwest (Kansas). The Developmental Origins of Health and Disease (DOHaD) perspective offers an explanation for how LBW contributes to racial health disparities among African Americans and informs a community directed health communication framework for creating sustainable programs to address these disparities. Trusted community organizations such as faith-based organizations are well situated to explain health communication gaps that may occur over the life course. These entities are underutilized in core health promotion programming targeting underserved populations and can prove essential for addressing developmental origins of LBW among African Americans. Extrapolating from focus group data collected from African American church populations as part of a social marketing health promotion project on cancer prevention, we theoretically consider how a similar communication framework and approach may apply to address LBW disparities. Stratified focus groups (n = 9) were used to discover emergent themes about disease prevention, and subsequently applied to explore how faith-based organizations (FBOs) inform strategic health care (media) advocacy and health promotion that potentially apply to address LBW among African Americans. We argue that FBOs are poised to meet health promotion and health communication needs among African American women who face social barriers in health

Major League Baseball Players' Life Expectancies

We examine the importance of anthropometric and performance measures, and age, period, and cohort effects in explaining life expectancies among major league baseball (MLB) players over the past century. Copyright (c) 2008 by the Southwestern Social Science Association.

Historical trends in height, weight, and body mass: Data from U.S. Major League Baseball players, 1869-1983

We employ a unique dataset of Major League Baseball (MLB) players - a select, healthy population - to examine trends in height, weight, and body mass in birth cohorts from 1869 to 1983. Over that 115-year time period, U.S. born MLB players have gained, on average, approximately 3 in. (7.6 cm) in height and 27.0 lb (12.2 kg) in weight, which has contributed a 1.6-unit increase in the body mass index. Where comparable data are available, U.S. born MLB players are about 2.0 in. (5.1 cm) taller and 20.0 lb (9.1 kg) heavier but substantially less obese than males in the general U.S. population. But both groups exhibit similar height and weight trends; the majority of height and weight gains take place in cohorts that were born prior to World War II, followed by slower gains and occasional declines in height and weight for cohorts born in 1939 and later.Height Weight Body mass index (BMI) Baseball

Biological Risk and Infection Profiles of Young Adult Male Mexican American Gang Members

Little research has examined the long-term health consequences of gang affiliation among Mexican Americans. The objectives of this study were to (1) measure biological indicators of cardiovascular and metabolic risk, as well as prevalence of sexually transmitted infections (STIs), in a sample of Mexican American men aged 25-40 who were affiliated with gangs as adolescents and (2) compare those indicators with a comparable national sample of Latino men. Using bivariate analyses, we compared blood pressure, body mass index, 4 metabolic and cardiovascular indicators, and 4 infections for 179 Mexican American formerly gang-affiliated men in San Antonio, Texas, and 155 Mexican American men from the National Health and Nutrition Examination Survey. We used multivariate models to estimate adjusted risk scores for each sample controlling for age, marital status, and education. Compared with men in the national sample, the unadjusted results showed that men in the gang-affiliated sample had significantly higher mean systolic blood pressure (125.6 vs 120.0  mm Hg, P = .001), diastolic blood pressure (81.4 vs 71.1 mm Hg, P < .001), and C-reactive protein (5.9 vs 3.6 mg/L, P = .04), and a significantly lower mean total cholesterol (164.2 vs 205.5 mg/dL, P < .001) and low-density lipoprotein cholesterol (91.1 vs 120.1 mg/dL, P < .001). Compared with men in the national sample, more men in the gang-affiliated sample had herpes simplex virus type 2 (64/174 [36.8%] vs 18/147 [12.2%], P < .001), chlamydia (10/176 [5.7%] vs 1/135 [0.7%], P = .02), and hepatitis C virus (85/173 [49.1%] vs 0, P < .001). The gang-affiliated sample had a significantly higher adjusted risk score than the national sample (1.5 vs 1.1, P = .003). Gang-affiliated Mexican American men had significant disparities in biological risk indicators and STIs, which can lead to long-term health implications and highlight the need for tailored prevention strategies. Long-term exposure to psychosocial stressors and subsequent systemic inflammation may also increase the risk for physiological and psychological dysregulation and detrimental chronic health conditions in this population

Using Google Health Trends to investigate COVID-19 incidence in Africa

The COVID-19 pandemic has caused over 500 million cases and over six million deaths globally. From these numbers, over 12 million cases and over 250 thousand deaths have occurred on the African continent as of May 2022. Prevention and surveillance remains the cornerstone of interventions to halt the further spread of COVID-19. Google Health Trends (GHT), a free Internet tool, may be valuable to help anticipate outbreaks, identify disease hotspots, or understand the patterns of disease surveillance. We collected COVID-19 case and death incidence for 54 African countries and obtained averages for four, five-month study periods in 2020–2021. Average case and death incidences were calculated during these four time periods to measure disease severity. We used GHT to characterize COVID-19 incidence across Africa, collecting numbers of searches from GHT related to COVID-19 using four terms: ‘coronavirus’, ‘coronavirus symptoms’, ‘COVID19’, and ‘pandemic’. The terms were related to weekly COVID-19 case incidences for the entire study period via multiple linear and weighted linear regression analyses. We also assembled 72 variables assessing Internet accessibility, demographics, economics, health, and others, for each country, to summarize potential mechanisms linking GHT searches and COVID-19 incidence. COVID-19 burden in Africa increased steadily during the study period. Important increases for COVID-19 death incidence were observed for Seychelles and Tunisia. Our study demonstrated a weak correlation between GHT and COVID-19 incidence for most African countries. Several variables seemed useful in explaining the pattern of GHT statistics and their relationship to COVID-19 including: log of average weekly cases, log of cumulative total deaths, and log of fixed total number of broadband subscriptions in a country. Apparently, GHT may best be used for surveillance of diseases that are diagnosed more consistently. Overall, GHT-based surveillance showed little applicability in the studied countries. GHT for an ongoing epidemic might be useful in specific situations, such as when countries have significant levels of infection with low variability. Future studies might assess the algorithm in different epidemic contexts