Fresh fruit, dried fruit, raw vegetables, and cooked vegetables consumption associated with progression trajectory of type 2 diabetes: a multi-state analysis of a prospective cohort.

PURPOSE: To examine the effects of fresh fruit, dried fruit, raw vegetables, and cooked vegetables on type 2 diabetes (T2D) progression trajectory. METHODS: We included 429,886 participants in the UK Biobank who were free of diabetes and diabetes complications at baseline. Food groups were determined using a validated food frequency questionnaire. Outcomes were T2D incidence, complications, and mortality. Multi-state model was used to analyze the effects of food groups on T2D progression. RESULTS: During a follow-up of 12.6 years, 10,333 incident T2D cases were identified, of whom, 3961 (38.3%) developed T2D complications and 1169 (29.5%) died. We found that impacts of four food groups on T2D progression varied depending on disease stage. For example, compared to participants who ate less than one piece of dried fruit per day, the hazard ratios and 95% confidence intervals for those who ate ≥ 2 pieces of dried fruit per day were 0.82 (0.77, 0.87), 0.88 (0.85, 0.92), and 0.86 (0.78, 0.95) for transitions from diabetes-free state to incident T2D, from diabetes-free state to total death, and from incident T2D to T2D complications, respectively. Higher intake of fresh fruit was significantly associated with lower risk of disease progression from diabetes-free state to all-cause death. Higher intake of raw and cooked vegetables was significantly associated with lower risks of disease progression from diabetes-free state to incident T2D and to total death. CONCLUSIONS: These findings indicate that higher intake of fresh fruit, dried fruit, raw vegetables, and cooked vegetables could be beneficial for primary and secondary prevention of T2D.

Opioid Misuse and Associated Health Risks among Adults on Probation and Parole: Prevalence and Correlates 2015-2020.

BACKGROUND: As state legislatures work to reduce prison populations and increase the use of community-based alternatives, limited knowledge exists about the service needs of those under criminal justice supervision in the community. Preliminary research indicates unusually high rates of disease, disability, and death. Health risks for this population include opioid misuse, a form of substance misuse that has reached epidemic proportions in the U.S. Evidence indicates this may be one of multiple epidemics this population experiences, complicating intervention. METHODS: Our study included 5154 individuals on probation or parole. Using 2015-2020 data from the National Survey of Drug Use and Health (NSDUH), we conducted a series of logistic regressions examining associations between opioid misuse and a range of health risks, controlling for sociodemographic variables and survey year. RESULTS: Approximately 17% of those on probation or parole indicated past-year opioid misuse, a rate 4 times higher than in the general population. Compared to those on probation and parole who did not misuse opioids, it was associated with higher odds of other health risk behaviors and mental health problems. For example, the odds of marijuana and cocaine use were 4-6 times higher and the odds of substance use disorder were 10 times higher. Similarly, the odds of experiencing major depressive episodes and serious psychological distress were 2-3 times higher. CONCLUSIONS: Our findings reveal a markedly high risk for opioid misuse within this population along with associated risks for behavioral and mental health problems. The complex treatment needs of this population require greater policy attention and further research.

Associations of risk factor burden and genetic predisposition with the 10-year risk of atrial fibrillation: observations from a large prospective study of 348,904 participants.

BACKGROUND: Understanding the effects of risk factor burden and genetic predisposition on the long-term risk of atrial fibrillation (AF) is important to improve public health initiatives. However, the 10-year risk of AF considering risk factor burden and genetic predisposition is unknown. METHODS: A total of 348,904 genetically unrelated participants without AF at baseline from the UK were categorized into three groups: index ages 45 years (n = 84,206), 55 years (n=117,520), and 65 years (n=147,178). Optimal, borderline, or elevated risk factor burden was determined by body mass index, blood pressure, diabetes mellitus, alcohol consumption, smoking status, and history of myocardial infarction or heart failure. Genetic predisposition was estimated using the polygenic risk score (PRS), constructed using 165 predefined genetic risk variants. The combined effects of risk factor burden and PRS on the risk of incident AF in 10 years were estimated for each index age. Fine and Gray models were developed to predict the 10-year risk of AF. RESULTS: The overall 10-year risk of AF was 0.67% (95% CI: 0.61-0.73%) for index age 45 years, 2.05% (95% CI: 1.96-2.13%) for index age 55 years, and 6.34% (95% CI: 6.21-6.46%) for index age 65 years, respectively. An optimal risk factor burden was associated with later AF onset regardless of genetic predisposition and sex (P < 0.001). Significant synergistic interactions were observed for risk factor burden with PRS at each index age (P < 0.05). Participants with an elevated risk factor burden and high PRS had the highest 10-year risk of AF in reference to those who had both an optimal risk factor burden and a low PRS. At younger ages, optimal risk burden and high PRS might also lead to later onset of AF, compared to the joint effect of elevated risk burden and low/intermediate PRS. CONCLUSIONS: Risk factor burden together with a genetic predisposition is associated with the 10-year risk of AF. Our results may be helpful in selecting high-risk individuals for primary prevention of AF and facilitating subsequent health interventions.

Prevalence and correlates of knife-related victimization: Insights from the 2019 Nationwide Emergency Department Sample.

Few studies have explored the incidence and general trends in knife-related victimizations in the United States (US), especially in settings where preventive interventions can potentially be initiated such as emergency departments (EDs). The goal of the present investigation was to provide an empirical portrait of the psychosocial and behavioral health characteristics of patients assaulted by sharp objects, particularly knives, as revealed in EDs in the US, as less research has focused on knife victimization in the US than internationally. This study uses data from the 2019 Nationwide Emergency Department Sample (NEDS), which is part of the Healthcare Cost and Utilization Project distributed by the Agency for Healthcare Research and Quality. Findings revealed that demographically males (especially those aged 18-25), those in poverty, and members of racially minoritized groups were more likely to be present with knife-related assault. Key factors increasing the odds of knife-related victimization treated in EDs were homelessness, legal involvement, and substance use, particularly alcohol and stimulant use disorder. Somewhat surprisingly, mental health diagnosis was not associated with increased knife-related victimization. Although EDs are critical to treating knife-related victimization, they are also potentially key points to launch prevention for high-risk individuals to reduce subsequent violence stemming from escalation of interpersonal disputes.

ICD-10-CM codes infrequently used to document human trafficking in 2019 Nationwide Emergency Department Sample.

INTRODUCTION: People who experience human trafficking (HT) visit emergency departments (ED). The International Classification of Diseases, Clinical Modification (ICD-10-CM) introduced codes to document HT in June 2018. The aim of this study is to identify characteristics of ED patients who experienced forced labor or sexual exploitation as a documented external cause of morbidity in US visits. METHODS: Nationally representative surveillance based on patient visits to 989 hospital-owned EDs in the Nationwide Emergency Department Sample in 2019 became available in 2021. Eight ICD-10-CM codes to classify HT as an external cause of morbidity were combined into one HT variable for analysis in 2021-2022. RESULTS: A weighted count of 517 of 33.1 million ED visits (0.0016%) documented HT as an external cause of morbidity. Of them, sexual exploitation (71.6%) was documented more frequently than labor exploitation (28.4%). Most HT-related codes were visits by females (87.3%) from large metropolitan areas, and identified as white. Approximately 40% of visits were from ZIP codes with a median household income less than $48,000 annually. Relative to all other ED visits, patients with HT as an external cause of morbidity had higher odds of being female (OR = 6.54, 95% CI:3.59, 11.92) and being a minor (OR = 1.76, 95% CI:1.02, 3.04). CONCLUSION: HT was rarely documented as an external cause of morbidity in 989 hospitals' ED visits from a nationally representative sample in 2019. Documentation of recently added HT ICD-10-CM codes does not appear to have been implemented sufficiently to yield an unbiased representation of those who experienced HT and presented in the ED. Efforts to enhance the utility of ICD-10-CM HT codes for surveillance and documentation must first address ED personnel training on identification and response to HT. In doing so, ED personnel also need to address ethical concerns (e.g. stigma, confidentiality, risk of patient harm) and allow for informed consent among trafficked patients in order to be scaled up responsibly.

Exposure to ambient particulate matter and hyperuricemia: An eight-year prospective cohort study on male traffic officers in China.

BACKGROUND AND OBJECTIVES: Studies on the effects of airborne particulates of diameter ≤ 1 µm (PM1), airborne particulates of diameter ≤ 2.5 µm (PM2.5) and airborne particulates of diameter ranges from 1 to 2.5 µm (PM1-2.5) on incidence of hyperuricemia are limited. We aimed to investigate the associations between PM1, PM2.5, and PM1-2.5 and hyperuricemia among male traffic officers. METHODS: We conducted a prospective cohort study of 1460 traffic officers without hyperuricemia in Guangzhou, China from 2009 to 2016. Exposures of PM1 and PM2.5 were estimated with a spatiotemporal model. PM1-2.5 concentrations were calculated by subtracting PM1 from PM2.5 concentrations. Cox's proportional hazards regressions models were used to examine the association between PM1, PM2.5, and PM1-2.5 and hyperuricemia, adjusted for potential confounders. Associations between PM1, PM2.5, and PM1-2.5 and serum uric acid (SUA) levels were evaluated with multiple linear regression models. RESULTS: Hazard ratios (HRs) and 95% confidence intervals (CIs) of hyperuricemia associated with 10 µg/m3 increment in PM1, PM2.5, and PM1-2.5 were 1.67 (95% CI:1.30-2.36), 1.49 (95% CI: 1.27-1.75), and 2.18 (95% CI: 1.58-3.02), respectively. The SUA concentrations increased by 12.23 µmol/L (95% CI: 5.91-18.56), 6.93 µmol/L (95% CI: 3.02-10.84), and 8.72 µmol/L (95% CI: 0.76-16.68) per 10 µg/m3 increase in PM1, PM2.5, and PM1-2.5, respectively. Stratified analyses indicated the positive associations of PM2.5 and PM1-2.5 with SUA levels were stronger in non-smokers, and PM1, PM2.5, and PM1-2.5 with SUA levels were stronger in non-drinkers. CONCLUSION: Long-term PM1, PM2.5, and PM1-2.5 exposures may increase the risk of hyperuricemia and elevate SUA levels among male traffic officers, especially in non-smokers and non-drinkers.

Constituents of fine particulate matter and asthma in 6 low- and middle-income countries.

BACKGROUND: Evidence concerning the effects of different chemical components of particulate matter with an aerodynamic diameter of 2.5 µm or less (PM2.5) on asthma is limited, and the methodology to compare the relative importance of different PM2.5 components is lacking. OBJECTIVE: Our aim was to examine the associations between PM2.5 components and asthma and investigate which constituent of PM2.5 possessed the most harmful effect on asthma. METHODS: A total of 45,690 subjects in 6 countries were surveyed from 2007 to 2010. We geocoded the residential community addresses of the participants and used satellite remote sensing and chemical transport modeling to estimate their annual average concentrations of PM2.5 constituents. Mixed-effects generalized additive models were utilized to examine the associations between PM2.5 constituents and prevalence of asthma. We further used counterfactual analyses to determine the potential number of asthma cases. RESULTS: We identified 6178 patients with asthma among the participants, producing an asthma prevalence of 13.5%. The odds ratio for asthma associated with per-SD increment was 1.12 for PM2.5 mass, 1.12 for organic carbon, 1.18 for black carbon, 1.19 for sulfate, 1.28 for ammonium, and 1.21 for nitrate after controlling for potential confounders. Our counterfactual analyses suggested that ammonium was responsible for a substantial decline in asthma cases (by 1382 cases, corresponding to 22.37% of overall cases) if the concentration was reduced to the 5th percentile of the current level. CONCLUSIONS: Our study suggests that some chemical components of PM2.5 (including black carbon, organic carbon, sulfate, ammonium, and nitrate) might be hazardous constituents contributing to the prevalence of asthma; among them, ammonium might be responsible for a substantial proportion of asthma cases if reduced to a certain level.

The importance of acculturation orientation in understanding the impact of pre- and post-migration stressors on behavioral health: Evidence from a crisis migrant sample.

OBJECTIVE: We examine the interplay of acculturation orientation, cultural stress, and hurricane trauma exposure with behavioral health among Puerto Rican crisis migrants who relocated to the US mainland after Hurricane Maria. METHOD: Participants were 319 adult (Mage = 39 years; 71% female; 90% arriving in 2017-2018) Hurricane Maria survivors surveyed on the US mainland. Latent profile analysis was used to model acculturation subtypes. In turn, ordinary least squares regression was executed to examine the associations of cultural stress and hurricane trauma exposure with behavioral health while stratifying by acculturation subtype. RESULTS: Five acculturation orientation subtypes were modeled, three of which-Separated (24%), Marginalized (13%), and Full Bicultural (14%)-align closely with prior theorizing. We also identified Partially Bicultural (21%) and Moderate (28%) subtypes. Stratifying by acculturation subtype, with behavioral health (depression/anxiety symptoms) specified as the dependent variable, hurricane trauma and cultural stress accounted for only 4% of explained variance in the Moderate class, a somewhat greater percentage in the Partial Bicultural (12%) and Separated (15%) classes, and substantially greater amounts of variance in the Marginalized (25%) and Full Bicultural (56%) classes. CONCLUSION: Findings underscore the importance of accounting for acculturation in understanding the relationship between stress and behavioral health among climate migrants.

Towards more accurate classification of risk of arrest among offenders on community supervision: An application of machine learning versus logistic regression.

BACKGROUND: Although there is general consensus about the behavioural, clinical and sociodemographic variables that are risk factors for reoffending, optimal statistical modelling of these variables is less clear. Machine learning techniques offer an approach that may provide greater accuracy than traditional methods. AIM: To compare the performance of advanced machine learning techniques (classification trees and random forests) to logistic regression in classifying correlates of rearrest among adult probationers and parolees in the United States. METHOD: Data were from the subgroup of people on probation or parole who had taken part in the National Survey on Drug Use and Health for the years 2015-2019. We compared the performance of logistic regression, classification trees and random forests, using receiver operating characteristic curves, to examine the correlates of arrest within the past 12 months. RESULTS: We found that machine learning techniques, specifically random forests, possessed significantly greater accuracy than logistic regression in classifying correlates of arrest. CONCLUSIONS: Our findings suggest the potential for enhanced risk classification. The next step would be to develop applications for criminal justice and clinical practice to inform better support and management strategies for former offenders in the community.

Correlates of Homelessness Among Adults with Personality Disorder.

Although personality disorders (PDs) are more common among persons experiencing homelessness than the general population, few studies have investigated the risk of experiencing homelessness among persons with PDs. This study seeks to identify the demographic, socioeconomic, and behavioral health correlates of past-year homelessness among persons with antisocial, borderline, and schizotypal PDs. Nationally representative data of the civilian, noninstitutionalized population of the United States was used to identify correlates of homelessness. Descriptive statistics and bivariate associations between variables and homeless status were summarized prior to conducting several multivariate logistic regression models to identify correlates of homelessness. Main findings revealed positive associations between poverty, relationship dysfunction, and lifetime suicide attempt with homelessness. In the antisocial PD (ASPD) and borderline PD (BPD) models, comorbid BPD and ASPD, respectively, were associated with higher odds of past-year homelessness. Findings underscore the importance of poverty, interpersonal difficulties, and behavioral health comorbidities on homelessness among persons with ASPD, BPD, and schizotypal PD. Strategies to promote economic security, stable relationships, and interpersonal functioning may buffer against the effects of economic volatility and other systemic factors that could contribute to homelessness and persons with PD.

Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort.

BACKGROUND: Though the association between air pollution and incident type 2 diabetes (T2D) has been well documented, evidence on the association with development of subsequent diabetes complications and post-diabetes mortality is scarce. We investigate whether air pollution is associated with different progressions and outcomes of T2D. METHODS: Based on the UK Biobank, 398,993 participants free of diabetes and diabetes-related events at recruitment were included in this analysis. Exposures to particulate matter with a diameter ≤ 10 µm (PM10), PM2.5, nitrogen oxides (NOx), and NO2 for each transition stage were estimated at each participant's residential addresses using data from the UK's Department for Environment, Food and Rural Affairs. The outcomes were incident T2D, diabetes complications (diabetic kidney disease, diabetic eye disease, diabetic neuropathy disease, peripheral vascular disease, cardiovascular events, and metabolic events), all-cause mortality, and cause-specific mortality. Multi-state model was used to analyze the impact of air pollution on different progressions of T2D. Cumulative transition probabilities of different stages of T2D under different air pollution levels were estimated. RESULTS: During the 12-year follow-up, 13,393 incident T2D patients were identified, of whom, 3791 developed diabetes complications and 1335 died. We observed that air pollution was associated with different progression stages of T2D with different magnitudes. In a multivariate model, the hazard ratios [95% confidence interval (CI)] per interquartile range elevation in PM2.5 were 1.63 (1.59, 1.67) and 1.08 (1.03, 1.13) for transitions from healthy to T2D and from T2D to complications, and 1.50 (1.47, 1.53), 1.49 (1.36, 1.64), and 1.54 (1.35, 1.76) for mortality risk from baseline, T2D, and diabetes complications, respectively. Generally, we observed stronger estimates of four air pollutants on transition from baseline to incident T2D than those on other transitions. Moreover, we found significant associations between four air pollutants and mortality risk due to cancer and cardiovascular diseases from T2D or diabetes complications. The cumulative transition probability was generally higher among those with higher levels of air pollution exposure. CONCLUSIONS: This study indicates that ambient air pollution exposure may contribute to increased risk of incidence and progressions of T2D, but to diverse extents for different progressions.

Trends and distinct profiles of persons who inject drugs in the United States, 2015-2019.

Drug injection represents a major health problem in the US, with severe health consequences including the transmission of blood-borne infections. An examination of the most recent trends in drug injection is warranted by the fast-evolving drug epidemic and recent policy changes such as the federal funding ban on needle exchange programs. This research examines current drug injection trends, patterns, and socioeconomic and behavioral profiles of people who inject drugs (PWID). Data were derived from the 2002 to 2019 National Survey on Drug Use and Health (NSDUH). After examining the annual prevalence of drug injection since 2002, a latent class analysis was conducted to identify drug injection and other substance misuse patterns among PWID using the latest (2015-2019) NSDUH datasets. Associations between class membership and behavioral health comorbidities and treatment receipt were also assessed. The drug injection prevalence among US adults aged 18-64 increased from 0.21% in 2002/2004 to 0.36% in 2017/2019. Three distinctive groups were identified: the heroin injection group (45.2%), the methamphetamine injection group (28.0%), and the multi-drug injection group (26.8%). The methamphetamine injection group reported greater risks of experiencing serious psychological distress, suicidality, and limited substance use treatment. Special attention is needed for those who primarily injected methamphetamine. Programs to promote harm reduction and increase access to addiction treatment need to be expanded in at-risk communities while accounting for their distinct socioeconomic and drug use/misuse profiles.

Associations between metabolic syndrome and anthropogenic heat emissions in northeastern China.

BACKGROUND: Recent research attention has been paid to anthropogenic heat emissions (AE), temperature increase generated by human activity such as lighting, transportation, manufacturing, construction, and building climate controls. However, there is no epidemiological data available to investigate the association between anthropogenic heat emissions and metabolic syndrome (MetS), a cluster of conditions that increase risk of stroke, heart disease and diabetes. OBJECTIVE: To explore the relationships between AE and MetS in China. METHODS: We recruited 15,477 adults from the 33 Communities Chinese Health Study, a cross-sectional study in northeastern China. We retrieved anthropogenic heat flux by collecting socio-economic and energy consumption data as well as satellite-based nighttime light and Normalized Difference Vegetation Index datasets, including emissions from buildings, transportation, human metabolism, and industries. We also measured MetS components consisting of triglycerides, high density lipoprotein cholesterol, fasting glucose, systolic blood pressure, and diastolic blood pressure, and waist circumference. Restricted cubic spline models were applied to assess the associations between AE and MetS. RESULTS: The median flux of total AE was 30.98 W/m2 and industrial AE was the dominant contributor (87.64%). The adjusted odds ratio and 95% confidence interval (CI) of MetS for the 75th and 95th percentiles of the total AE against the threshold were 1.29 (95% CI: 1.21, 1.38) and 1.65 (95% CI: 1.47, 1.85). Greater AE was associated with higher odds of MetS in a dose-response pattern, and the lowest point of U-shape curve indicated the threshold effect. Participants who are young and middle-aged exhibited stronger associations between AE and MetS. CONCLUSIONS: Our novel findings reveal that AE are positively associated with MetS and that associations are modified by age. Further investigations into the mechanisms of the effects are needed.

Is ambient air pollution associated with sarcopenia? Results from a nation-wide cross-sectional study.

BACKGROUND: sarcopenia is a disease that involves the degeneration of muscle strength, muscle mass and physical performance. It remains unknown whether air pollution exposure increases the risk of sarcopenia. METHODS: the baseline survey of the UK Biobank was used in this study. Sarcopenia was identified according to European Working Group on Sarcopenia in Older People 2 (EWGSOP2) and classified into non-sarcopenia and probable sarcopenia. Land use regressions were used to estimate concentrations of particulate matter (PM2.5), coarse particles (PMcoarse), PM10, PM2.5 absorbance, nitrogen dioxide (NO2) and nitrogen oxides (NOx). Logistic regression models were applied to estimate the associations between air pollution and sarcopenia and its components. RESULTS: out of 352,265 participants, 28,710 (8.2%) were identified with probable sarcopenia. In adjusted models, there were increased odds of probable sarcopenia for each interquartile range increase in PM2.5 (OR: 1.06; 95% CI: 1.04, 1.07), PM10 (OR: 1.15; 95% CI: 1.13, 1.17), PMcoarse (OR: 1.02; 95% CI:1.01, 1.03), PM2.5 absorbance (OR: 1.08; 95% CI: 1.07, 1.10), NO2 (OR: 1.12; 95% CI:1.10, 1.14) and NOx (OR: 1.06; 95% CI: 1.05, 1.08). CONCLUSIONS: this study suggests that exposure to ambient air pollution might be one risk factor of sarcopenia. Prospective studies are needed to further confirm our findings.

Socioeconomic inequalities and Black/White disparities in US cocaine-involved overdose mortality risk.

PURPOSE: This study examined whether socioeconomic inequalities account for Black/White disparities in: (a) the prevalence of potential risk factors for overdose among adults using cocaine; and (b) national mortality rates for cocaine-involved overdose. METHODS: Data from 2162 Non-Hispanic (NH) Black or White adults (26 +) who reported past-year cocaine use in the 2015-2019 National Survey of Drug Use and Health were analyzed to obtain predicted probabilities of potential overdose risk factors by race and sex, using marginal effects via regression analyses, adjusting for age and socioeconomic indicators. Next, National Center for Health Statistics data (for 47,184 NH Black or White adults [26 +] who died of cocaine-involved overdose between 2015 and 2019) were used to calculate cocaine-involved overdose mortality rates by race and sex across age and educational levels. RESULTS: Several potential overdose vulnerabilities were disproportionately observed among NH Black adults who reported past-year cocaine use: poor/fair overall health; cocaine use disorder; more days of cocaine use yearly; hypertension (for women); and arrests (for men). Adjusting for age and socioeconomic indicators attenuated or eliminated many of these racial differences, although predicted days of cocaine use per year (for men) and cocaine use disorder (for women) remained higher in NH Black than White adults. Cocaine-involved overdose mortality rates were highest in the lowest educational strata of both races; nonetheless, Black/White disparities were observed even at the highest level of education, especially for adults ages 50 + . CONCLUSION: Age and socioeconomic characteristics may account for some, yet not all, of Black/White disparities in vulnerability to cocaine-involved overdose.

Far from a monolith: a typology of externalizing behavior among African American youth.

PURPOSE: Previous studies have examined externalizing behaviors among African American youth using variable-centered approaches that study aggression and delinquency separately. However, aggression and delinquency often operate together in shaping adolescent behavior. For this reason, person-centered approaches are essential for identifying subgroups of African American youth using multiple indicators of aggression and delinquency to model the behavioral heterogeneity within this population. We examined the relationship between interpersonal, school, and parenting factors and externalizing behaviors among African American youth. METHOD: Drawing from the National Survey on Drug Use and Health 2015-2018, we conducted latent class analysis based on 5 externalizing behavior indicator variables (i.e., serious fight, attack to harm, stealing, drug selling, handgun carrying) using a sample of 7,236 African American adolescents, aged 12-17. RESULTS: We identified a three class solution: Class #1-No Involvement (74.4%), characterized by very low levels of involvement in all of the externalizing behaviors examined; Class #2-Serious fight (23.3%), which is characterized by near-universal involvement in a serious fight, far lower levels of attack to harm, and negligible levels of stealing, drug selling, and handgun caring; and Class #3-Multidimensional externalizing (2.3%), characterized by very high levels of involvement in all of the externalizing variables examined. CONCLUSION: Most African American youth are not involved in externalizing behaviors. It is vital to support both the large majority of African-American youth who are abstaining from externalizing behaviors and to develop/implement programs to address the contextual and interpersonal needs of youth at elevated risk for consequences related to externalizing.

Alcohol abstinence and binge drinking: the intersections of language and gender among Hispanic adults in a national sample, 2002-2018.

PURPOSE: Prior research examining alcohol use using national data has often overlooked vital heterogeneity among Hispanics, especially that related to language dominance and gender. We examine the prevalence of alcohol abstinence and-given prior research suggesting that many Spanish dominant Hispanics do not drink-examine rates of binge drinking among past-year alcohol users with a focus on the intersections of language and gender among Hispanics, while drawing comparisons with non-Hispanic (NH) White and NH Black adults. METHODS: Drawing from the National Survey on Drug Use and Health-a nationally representative survey between 2002 and 2018-we examine the year-by-year prevalence of alcohol abstinence and binge drinking among adults ages 18 and older in the United States. RESULTS: A disproportionate number of Spanish-dominant Hispanics abstain from alcohol use (54%), with particularly high levels of alcohol abstinence observed among Spanish dominant women (men: 39%, women: 67%). The prevalence of alcohol abstinence among English-dominant Hispanic men (24%) and women (32%) is far lower, approximating that of NH Whites (men: 23%, women: 32%). Importantly, however, among Spanish-dominant drinkers, the prevalence of binge drinking (men: 52%, women: 33%) is comparable to or greater than NH Whites (men: 42%, women: 32%). Binge drinking levels among English-dominant Hispanic men (50%) and women (37%) are greater than among their NH White counterparts. CONCLUSION: Findings paint a complex picture; consistent with prior research, we see that many Hispanics abstain from alcohol, but we also see new evidence underscoring that-among Hispanic drinkers-the prevalence of binge drinking is disconcertingly elevated.

Critical incident exposure among custody and noncustody correctional workers: Prevalence and impact of violent exposure to work-related trauma.

BACKGROUND: Correctional workers are at high risk for exposure to trauma, both as direct violence and as threats to their safety and well-being. The distress associated with these critical incidents (CIs) affects mental and physical health. Current tools are limited for detecting CIs in this workforce and are therefore insufficient for addressing correctional worker trauma. METHODS: Community prison employees (N = 105) self-reported CIs using the adapted Correctional Worker Critical Incident Survey (CWCIS). We examined: (1) prevalence of CIs and occurrences, (2) differences in exposures to CIs by custody and noncustody staff, and (3) differences in job satisfaction, posttraumatic stress (PTSD), lower back disease, and health behaviors, such as missed work and sleep. RESULTS: CIs occurred among most staff (59%) and more often for custody staff as compared to noncustody staff. CIs most often experienced were coworker injury, exposure to disease, and badly beaten adults (frequency 10-50). For the 1-9 frequency category, the most described events were: seeing someone dying, life threatened, and coworker injury. PTSD was identified in 44% of staff, and those who experienced CIs reported lower job satisfaction, greater feelings of PTSD, and more work absences than those not experiencing CIs (p < 0.05). CONCLUSIONS: CIs and PTSD are prevalent among custody and noncustody correctional workers; and job dissatisfaction, PTSD, and work absence are significantly worse for those who experienced CIs. The CWCIS detected CIs; future study is needed to inform trauma prevention, reduction, and rehabilitation interventions specific to correctional work.

Empirical dynamic modeling of the association between ambient PM2.5 and under-five mortality across 2851 counties in Mainland China, 1999-2012.

BACKGROUND: Ambient fine particulate matter (PM2.5) pollution has been associated with mortality from various diseases, however, its association with under-five mortality rate (U5MR) has remained largely unknown. METHODS: Based on the U5MR data across 2851 counties in Mainland China from 1999 to 2012, we employed approximate Bayesian latent Gaussian models to assess the association between ambient PM2.5 and U5MR at the county level for the whole nation and sub-regions. GDP growth rate, normalized difference vegetation index (NDVI), temperature, and night-time light were included as covariates using a smoothing function. We further implemented an empirical dynamic model (EDM) to explore the potential causal relationship between PM2.5 and U5MR. RESULTS: We observed a declining trend in U5MR in most counties throughout the study period. Spatial heterogeneity in U5MR was observed. Nationwide analysis suggested that each 10 µg/m3 increase in annual concentration of PM2.5 was associated with an increase of 1.2 (95% CI: 1.0 - 1.3) per 1000 live births in U5MR. Regional analyses showed that the strongest positive association was located in the Northeastern part of China [1.8 (95% CI: 1.4 - 2.1)]. The EDM showed a significant causal association between PM2.5 and U5MR, with an embedding dimension of 5 and 7, and nonlinear values θ of 4 and 6, respectively. CONCLUSION: China exhibited a downward trend in U5MR from 1999 to 2012, with spatial heterogeneity observed across the country. Our analysis reveals a positive association between PM2.5 and U5MR, which may support a causal relationship.

Ambient sulfur dioxide and hospital expenditures and length of hospital stay for respiratory diseases: A multicity study in China.

BACKGROUND: Ambient sulfur dioxide (SO2) has been associated with morbidity and mortality of respiratory diseases, however, its effect on length of hospital stays (LOS) and cost for these diagnoses remain unclear. METHODS: We collected hospital admission information for respiratory diseases from all 11 cities in the Shanxi Province of China during 2017-2019. We assessed individual-level exposure by using an inverse distance weighting approach based on geocoded residential addresses. A generalized additive model was built to delineate city-specific effects of SO2 on hospitalization, hospital expenditure, and length of hospital stay for respiratory diseases. The overall effects were obtained by random-effects meta-analysis. We further estimated the respiratory burden attributable to SO2 by comparing different reference concentrations. RESULTS: We observed significant effects of SO2 exposure on respiratory diseases. At the provincial level, each 10 µg/m3 increase in SO2 on lag03 was associated with a 0.63% (95% CI: 0.14-0.11) increase in hospital admission, an increase of 4.56 days (95% CI: 1.16-7.95) of hospital stay, and 3647.97 renminbi (RMB, Chinese money) (95% CI: 1091.05-6204.90) in hospital cost. We estimated about 6.13 (95% CI: 1.33-11.10) thousand hospital admissions, 65.77 million RMB (95% CI: 19.67-111.87) in hospital expenditure, and 82.13 (95% CI: 20.87-143.40) thousand days of hospital stay could have potentially been avoided had the daily SO2 concentrations been reduced to WHO's reference concentration (40 µg/m3). Variable values in correspondence with this reference concentration could reduce the hospital cost and LOS of each case by 52.67 RMB (95% CI: 15.75-89.59) and 0.07 days (95% CI: 0.02-0.117). CONCLUSION: This study provides evidence that short-term ambient SO2 exposure is an important risk factor of respiratory diseases, indicating that continually tightening policies to reduce SO2 levels could effectively reduce respiratory disease burden in Shanxi Province.