Exploring a Potential Interaction Between the Effect of Specific Maternal Smoking Patterns and Comorbid Antenatal Depression in Causing Postpartum Depression.

Purpose: To explore a potential interaction between the effect of specific maternal smoking patterns and the presence of antenatal depression, as independent exposures, in causing postpartum depression (PPD). Methods: This case-control study of participants with singleton term births (N = 51220) was based on data from the 2017-2018 Pregnancy Risk Assessment Monitoring System. Multivariable log-binomial regression models examined the main effects of smoking patterns and self-reported symptoms of antenatal depression on the risk of PPD on the adjusted risk ratio (aRR) scale and tested a two-way interaction adjusting for covariates selected in a directed acyclic graph (DAG). The interaction effects were measured on the additive scale using relative excess risk due to interaction (RERI), the attributable proportion of interaction (AP), and the synergy index (SI). Causal effects were defined in a counterfactual framework. The E-value quantified the potential impact of unobserved/unknown covariates, conditional on observed covariates. Results: Among 6841 women in the sample who self-reported PPD, 35.7% also reported symptoms of antenatal depression. Out of 3921 (7.7%) women who reported smoking during pregnancy, 32.6% smoked at high intensity (≥10 cigarettes/day) in all three trimesters and 36.6% had symptoms of antenatal depression. The main effect of PPD was the strongest for women who smoked at high intensity throughout pregnancy (aRR 1.65; 95% CI: 1.63, 1.68). A synergistic interaction was detected, and the effect of all maternal smoking patterns was augmented, particularly in late pregnancy for Increasers and Reducers. Conclusion: Strong associations and interaction effects between maternal smoking patterns and co-occurring antenatal depression support smoking prevention and cessation interventions during pregnancy to lower the likelihood of PPD.

Examining the association of rurality with opioid-related morbidity and mortality in Georgia: A geospatial analysis.

INTRODUCTION: The US opioid epidemic continues to escalate, with overdose deaths being the most-used metric to quantify its burden. There is significant geographic variation in opioid-related outcomes. Rural areas experience unique challenges, yet many studies oversimplify rurality characterizations. Contextual factors, such as area deprivation, are also important to consider when understanding a community's need for treatment services and prevention programming. This study aims to provide a geospatial snapshot of the opioid epidemic in Georgia using several metrics of opioid-related morbidity and mortality and explore differences by rurality across counties. METHODS: This was a spatial ecologic study. Negative binominal regression was used to model the relationship of county rurality with four opioid-related outcomes - overdose mortality, emergency department visits, inpatient hospitalizations, and overdose reversals - adjusting for county-level sex, racial/ethnic, and age distributions. Area Deprivation Index was also included. RESULTS: There was significant geographic variation across the state for all four opioid-related outcomes. Counts remained highest among the metro areas. For rates, counties in the top quartile of rates varied by outcome and were often rural areas. In the final models, rurality designation was largely unrelated to opioid outcomes, with the exception of medium metro areas (inversely related to hospitalizations and overdose reversals) and non-core areas (inversely related to hospitalizations), as compared to large central metro areas. Higher deprivation was significantly related to increased ED visits and hospitalizations, but not overdose mortality and reversals. CONCLUSIONS: When quantifying the burden of the opioid epidemic in a community, it is essential to consider multiple outcomes of morbidity and mortality. Understanding what outcomes are problematic for specific communities, in combination with their demographic and socioeconomic context, can provide insight into gaps in the treatment continuum and potential areas for intervention. Additionally, compared to demographic and socioeconomic factors, rurality may no longer be a salient predictor of the severity of the opioid epidemic in an area.

Childhood Factors Associated With Unnatural Death Through Midadulthood.

Importance: Life expectancy is decreasing in the US. Without national efforts to address factors that support policies and programs directed at children living in areas of concentrated poverty, life expectancy will likely continue to decline while costs and suffering associated with unnatural deaths will increase. Objective: To identify which childhood factors are associated with death from unnatural causes through midadulthood. Design, Setting, and Participants: For this cohort study, longitudinal data on childhood characteristics came from a group-randomized intervention trial implemented in Baltimore City Public Schools, Baltimore, Maryland (baseline 1985-1986; all students entering first grade were selected to participate at age 6 years). Participants were followed up to midadulthood with a National Death Index search through December 31, 2020. Data analysis was performed from February to May 2023. Exposures: Exposures included individual factors (ie, sociodemographic characteristics, teacher-reported aggressive behavior, self-reported depression, anxiety, early alcohol and cannabis use, and assaultive violence exposure), family and peer factors (ie, household structure and education level, deviant peer affiliation, and parental monitoring), and neighborhood factors (ie, rates of neighborhood assault and public assistance). Main Outcomes and Measures: The main outcome was unnatural death, defined as death due to unintentional injury, suicide, and homicide. A National Death Index search ascertained participants who died by age 41 to 42 years and cause of death. Multivariable Cox proportional hazards models were used to identify whether the exposures were independently associated with future mortality by unnatural causes. Results: The initial trial included 2311 children, and longitudinal data were available for 2180 participants (median [IQR] age in first grade, 6.3 [6.0-6.5] years; 1090 female [50.0%]; 1461 Black [67.0%]; 1168 received free or reduced lunch in first grade [53.6%]). A total of 111 male participants (10.2%) and 29 female participants (2.7%) died; among those who died, 96 male participants (86.5%) and 14 female participants (48.3%) died of unnatural causes. Two factors remained significantly associated with mortality from unnatural causes: female sex was associated with reduced risk (hazard ratio, 0.13; 95% CI, 0.08-0.22), and neighborhood public assistance was associated with increased risk (hazard ratio, 1.89; 95% CI, 1.09-3.30). Conclusions and Relevance: In this urban population-based cohort study, no modifiable risk factors of mortality at the level of the individual (eg, depression or anxiety and substance use) or the family (eg, household education level) were identified. However, the degree of neighborhood poverty in early childhood was significantly associated with death by unnatural causes in early adulthood, suggesting that economic policies are needed to advance health equity in relation to premature mortality.

The relationship between neighborhood typologies and self-rated health in Maryland: A latent class analysis.

Despite widespread evidence that neighborhood conditions impact health, few studies apply theory to clarify the physical and social factors in communities that drive health outcomes. Latent class analysis (LCA) addresses such gaps by identifying distinct neighborhood typologies and the joint influence that neighborhood-level factors play in health promotion. In the current study, we conducted a theory-driven investigation to describe Maryland neighborhood typologies and examined differences in area-level self-rated poor mental and physical health across typologies. We conducted an LCA of Maryland census tracts (n = 1384) using 21 indicators of physical and social characteristics. We estimated differences in tract-level self-rated physical and mental health across neighborhood typologies using global Wald tests and pairwise comparisons. Five neighborhood classes emerged: Suburban Resourced (n = 410, 29.6%), Rural Resourced (n = 313, 22.6%), Urban Underserved (n = 283, 20.4%), Urban Transient (n = 226, 16.3%), Rural Health Shortage (n = 152, 11.0%). Prevalence of self-rated poor physical and mental health varied significantly (p < 0.0001) by neighborhood typology, with the Suburban Resourced neighborhood class demonstrating the lowest prevalence of poor health and the Urban Underserved neighborhoods demonstrating the poorest health. Our results highlight the complexity of defining "healthy" neighborhoods and areas of focus to mitigate community-level health disparities to achieve health equity.

The differential relationship of common health comorbidities with acculturative experiences in United States Latinxs.

•A novel conceptualization of acculturation and related experiences is related to comorbidity.•Different patterns emerge in the relationship between acculturative experiences and health.•Toxic stress and social support may play differential roles in the risk for health comorbidities.

The Relationship Between Latinxs' Acculturative Experiences and Mental and Behavioral Disorder in the National Latino and Asian American Study.

Mental and behavioral disorders are among the leading contributors to disability among US-residing Latinxs. When treated as a homogeneous group, important disparities in the prevalence of such disorders among Latinx subgroups (e.g., by ethnic heritage) are obscured. However, Latinxs may also be characterized by their acculturative experiences while living in the USA, such as discrimination, neighborhood context and family conflict. Latent Profile Analysis with distal outcomes was used to estimate differences in psychiatric disorder prevalence across acculturative subgroups. Data from 2,541 Latinx participants (age 18 +) in the National Latino and Asian American Study (NLAAS) were used to estimate differences in the proportion of three categories of DSM-IV disorder: depressive, anxiety and substance use by four latent subgroups of Latinxs based on their acculturative experiences. Latinxs reporting more positive acculturative experiences had the lowest prevalence of all three disorders (14.8%, 13.6% and 7.1%, respectively). Those whose lives were characterized by high levels of family conflict and discrimination combined with low levels of social cohesion and neighborhood safety had the highest disorder prevalence (34.0%, 26.6% and 22.5%; all p < 0.01 compared to positive experiences subgroup). Latinxs with moderate levels of discrimination and conflict, along with those with high conflict and cohesion, were better off as compared to those with high negative experiences and low cohesion. These latent subgroups of Latinxs according to their acculturative experiences hold important implications for identifying high-risk groups for developing a psychiatric disorder. Findings also point to the protective role of family and neighborhood cohesion when facing high levels of adversity, which may inform prevention and intervention efforts.

Systematic Review of Psychosocial Smoking Cessation Interventions for People with Serious Mental Illness.

OBJECTIVE: Tobacco smoking is a major driver of premature mortality in people with serious mental illness (SMI; e.g., schizophrenia, bipolar disorder). This systematic literature review described randomized control trials of psychosocial smoking cessation interventions for people with SMI, rated their methodological rigor, evaluated the inclusion of racial/ethnic and sexual/gender minorities, and examined smoking cessation outcomes. Methods: Eligible studies included peer-reviewed articles published between 2009 and 2020 that examined psychosocial smoking cessation interventions in people with SMI. We used the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines to conduct our review and the Methodological Quality Rating Scale to evaluate methodological rigor. Results: Eighteen studies were included. Ten were categorized as high methodological rigor given their study characteristics (e.g., longer follow-up) and eight as lower methodological rigor based on their characteristics (e.g., not intent-to-treat). Racial/ethnic and sexual/gender minorities were under-represented in these studies. A range of psychosocial interventions were examined including motivational enhancements, smoking cessation education, cognitive behavioral strategies, and contingency management. Most studies also provided smoking cessation medications (e.g., NRT, bupropion), although provision was not always uniform across treatment conditions. Three studies found the intervention condition achieved significantly higher abstinence from smoking compared to the comparison group. Seven studies found the intervention condition achieved significantly higher reductions in smoking compared to the comparison group. Conclusions: Studies finding significant differences between the intervention and comparison groups shared common evidenced-based components, including providing smoking cessation medications (e.g., NRT, bupropion), motivational enhancement techniques, and cessation education and skills training, but differed in intensity (e.g., number and frequency of sessions), duration, and modality (e.g., group, individual, technology). Methodological limitations and a small number of studies finding significant between-group differences prevent the identification of the most effective psychosocial smoking cessation interventions. Clinical trial designs (e.g., SMART, factorial) that control for the provision of psychosocial medications and allow for the identification of optimal psychosocial treatments are needed. Future studies should also ensure greater inclusion of racial/ethnic and sexual/gender minorities and should be culturally/linguistically adapted to improve treatment engagement and study outcomes.

Hotline Use in the United States: Results from the Collaborative Psychiatric Epidemiology Surveys.

Crisis hotlines are a fixture in providing mental health services to individuals experiencing mental and behavioral problems in the United States (U.S.). Despite this, and the growing need for easily-accessible, anonymous, and free services amidst the suicide and opioid crises, there is no study reporting U.S. national prevalence and correlates of hotline use. Data on n = 18,909 participants from the Collaborative Psychiatric Epidemiology Surveys (CPES), a group of three nationally-representative, population-based studies, were used to estimate the prevalence of lifetime and past 12-month hotline use. A series of logistic regression models examined sociodemographic, clinical history and service use correlates of hotline use. Lifetime and past 12-month hotline use was estimated at 2.5% and 0.5%, respectively. Being female, having a mental or behavioral disorder, experiencing suicidality, or interacting with other formal and informal sectors of the mental health service system were significant correlates of use. This study provides the first national estimates of crisis hotline usage in the U.S. Hotlines are more likely to be used by certain sociodemographic subgroups, but these differences may be due to differing psychiatric history and service use patterns. Efforts should be made to ensure that crisis hotlines are being utilized by other marginalized populations at high risk of suicide or overdose amidst the current public health crises in the U.S., such as racial/ethnic minorities or youth. To evaluate the role that crisis hotlines play in the mental health service system, national surveys should aim to monitor trends and correlates over time.

Refining acculturation measures for health research: Latina/o heterogeneity in the National Latino and Asian American Study.

OBJECTIVES: This study factor analyzes six scales relating to acculturation and related experiences among a nationally representative sample of United States-residing Latina/os (n = 2,541) from the National Latino and Asian American Study (NLAAS), using measurement invariance (MI) testing to explore differences in latent constructs by Latina/o subgroup. METHODS: Factor Analysis (FA) within an Exploratory Structural Equation Modeling framework was used to analyze the factor structure of six scales measuring acculturation and related experiences (i.e., acculturation [language use and preference], enculturation [ethnic identity], discrimination, neighborhood context, and family environment). We tested for MI by two important Latina/o subgroups: ethnic heritage and generational status. RESULTS: The underlying latent factors resulting from FA strongly aligned with the NLAAS subscales. No scale achieved full MI, yet the degree to which MI held varied greatly by scale and by subgroup. CONCLUSIONS: Findings show that Latina/os are heterogeneous, but that this often depends on the construct and subgrouping of interest. Future research should use these scales in a latent framework, accounting for the lack of MI, to ensure that the underlying acculturative constructs of interest are validly measured when investigating their association with mental health outcomes in this population.

Ideal Cardiovascular Health in Racially and Ethnically Diverse People with Serious Mental Illness.

Cardiovascular disease is a primary contributor to premature death among people with serious mental illness (SMI). This study used baseline data (N=314) from an effectiveness trial testing a healthy lifestyle intervention for racial/ethnically diverse participants with overweight/obesity and SMI living in supportive housing. We examined the prevalence and correlates of a modified version of the American Heart Association (AHA) metric of ideal cardiovascular health (ICVH). Five AHA ICVH metrics (smoking, body mass index, diet, physical activity, and blood pressure) were used to create a composite ICVH score. The mean ICVH score was 3.15 (range 0-8). Multivariate analysis indicated that higher ICVH scores were associated with lifetime cancer diagnosis and better cardiorespiratory fitness. Lower scores were associated with female gender, racial/ethnic minority status, and antipsychotic use, suggesting that these subgroups of people with SMI may benefit from targeted screening and interventions to improve their cardiovascular health.

Heterogeneity of Latina/os' acculturative experiences in the National Latino and Asian American Study: a latent profile analysis.

PURPOSE: This study characterized unobserved subgroups of acculturative experiences among a nationally representative sample of U.S.-residing Latina/os (n = 2541) from the National Latino and Asian American Study. METHODS: Latent profile analysis was used to characterize the sample by acculturative experiences using nine-factor score indicators regarding discrimination, neighborhood context, family environment, acculturation (language use and preference), and enculturation (ethnic identity). Predictors of profile membership are also examined, including sociodemographics, Latina/o heritage (i.e., ethnic group), generational status, and two acculturative stress domains (legal and interpersonal). RESULTS: Four Latina/o subgroups were identified based on acculturative experiences. Profiles were differentiated by family context, neighborhood context, and discrimination: (1) positive experiences (n = 1,743, 69%), (2) cohesive conflict (n = 424, 17%), (3) marginalized conflict (n = 237, 9%), and (4) marginalized (n = 137, 5%). Generational status, heritage, and marital status were the salient predictors of profile membership. Among the foreign-born sample (n = 1617), legal acculturative stress also predicted profile membership. CONCLUSIONS: Latina/os have heterogeneous experiences living in the United States. Discrimination, family context, and neighborhood environment are more related to varying experiences as opposed to traditional measures of acculturation and enculturation. Future research should characterize Latina/o heterogeneity using these experiences rather than strictly by observed demographics, such as heritage or generational status.

Enduring mental health in the Baltimore epidemiologic catchment area follow-up study.

PURPOSE: To estimate the prevalence of enduring mental health (EMH) and examine important correlates of EMH 23 years later in the Baltimore Epidemiologic Catchment Area Follow-Up study. METHODS: We estimated the prevalence of EMH among 964 adults with diagnostic data at all four study waves (1981-2004). Those with EMH were compared to those with any mental or behavioral disorder by demographic, psychosocial, and health characteristics. We used forward selection models to identify the most important predictors of EMH. RESULTS: Twenty-six percent of participants met criteria for enduring mental health across the four waves. Neuroticism, GHQ-20 score, childhood conduct problems, female sex, maternal depression, and poor self-rated health were negatively associated with EMH. CONCLUSIONS: We identified several malleable factors associated with a decreased likelihood of enduring mental health. Interventions that target high neuroticism, childhood conduct problems, or maternal depression may increase the likelihood that children achieve EMH later in life. Identifying and treating other factors such as poor self-reported health and greater psychological distress may also keep sub-clinical symptoms from developing into a full mental or behavioral disorder.

COSTS OF DEPRESSION FROM CLAIMS DATA FOR MEDICARE RECIPIENTS IN A POPULATION-BASED SAMPLE.

BACKGROUND: Many persons with depressive disorder are not treated and associated costs are not recorded. AIMS OF THE STUDY: To determine whether major depressive disorder (MDD) is associated with higher medical cost among Medicare recipients. METHODS: Four waves of the Baltimore-Epidemiologic Catchment Area (Baltimore ECA) Study conducted between 1981 and 2004 were linked to Medicare claims data for the years 1999 to 2004 from the Centers for Medicare and Medicaid Services (CMS). Generalized linear models specified with a gamma distribution and log link function were used to examine direct medical care costs associated with MDD. RESULTS: Medicare recipients with no history of MDD in either the ECA or CMS data had mean six-year medical costs of US $40,670, compared to $87,445 for Medicare recipients with MDD as recorded in CMS data and $43,583 for those with MDD as recorded in Baltimore-ECA data. Multivariable regressions found that compared to Medicare recipients with no history of depression, those with depression identified in the CMS data had significantly higher medical costs; about 1.87 times (95% confidence interval (CI) 1.32 to 2.67) higher. Medicare recipients with a history of depression identified in the ECA data were no more likely to have higher costs than were Medicare recipients with no history of depression (relative ratio 1.33, 95% CI 0.87 to 2.02). DISCUSSION: Medicare recipients with a history of depression identified in claims data had significantly higher medical costs than recipients with no history of depression. However, no significant differences were found between Medicare recipients with depression in the community-based Baltimore ECA data and those with no history of depression. The results show that the source of diagnosis, in treatment versus survey data, produces differences in results as regards costs. LIMITATIONS: This study involved only Medicare recipients with claims data over the six years 1999 to 2004. Many of the ECA respondents were too young to qualify for Medicare. IMPLICATIONS FOR HEALTH POLICY: Depressive disorder involves substantial medical care costs. The findings provide information on the economic burden of depression, an important but often omitted dimension and perspective of the burden of mental illnesses.

Higher Childhood Peer Reports of Social Preference Mediates the Impact of the Good Behavior Game on Suicide Attempt.

The Good Behavior Game (GBG) is a universal classroom-based preventive intervention directed at reducing early aggressive, disruptive behavior and improving children's social adaptation into the classroom. The GBG is one of the few universal preventive interventions delivered in early elementary school that has been shown to reduce the risk for future suicide attempts. This paper addresses one potential mechanism by which the GBG lowers the risk of later suicide attempt. In this study, we tested whether the GBG, by facilitating social adaptation into the classroom early on, including the level of social preference by classmates, thereby lowers future risk of suicide attempts. The measure of social adaptation is based on first and second grade peer reports of social preference ("which children do you like best?"; "which children don't you like?"). As part of the hypothesized meditational model, we examined the longitudinal association between childhood peer social preference and the risk of future suicide attempt, which has not previously been examined. Data were from an epidemiologically based randomized prevention trial, which tested the GBG among two consecutive cohorts of first grade children in 19 public schools and 41 classrooms. Results indicated that peer social preference partially mediated the relationship between the GBG and the associated reduction of risk for later suicide attempts by adulthood, specifically among children characterized by their first grade teacher as highly aggressive, disruptive. These results suggest that positive childhood peer relations may partially explain the GBG-associated reduction of risk for suicide attempts and may be an important and malleable protective factor for future suicide attempt.

Mortality among heroin users and users of other internationally regulated drugs: A 27-year follow-up of users in the Epidemiologic Catchment Area Program household samples.

BACKGROUND: In contrast to research on more restricted samples of drug users, epidemiological studies open up a view of death rates and survivorship of those who have tried heroin a few times, with no acceleration toward sustained use patterns often seen in treatment and criminal justice samples. At their best, epidemiological estimates of heroin effects on risk of dying are not subject to serious selection biases faced with more restricted samples. METHODS: Data are from 7207 adult participants aged 18-48 years in United States Epidemiologic Catchment Area Program field surveys, launched in 1980-1984. US National Death Index (NDI) records through 2007 disclosed 723 deaths. NDI enabled estimation of heroin-associated risk of dying as well as survivorship. RESULTS: Estimated cumulative mortality for all 18-48 year old participants is 3.9 deaths per 1000 person-years (95% confidence interval, CI=3.7, 4.2), relative to 12.4 deaths per 1000 person-years for heroin users (95% CI=8.7, 17.9). Heroin use, even when non-sustained, predicted a 3-4 fold excess of risk of dying prematurely. Post-estimation record review showed trauma and infections as top-ranked causes of these deaths. CONCLUSIONS: Drawing strengths from epidemiological sampling, standardized baseline heroin history assessments, and very long-term NDI follow-up, this study of community-dwelling heroin users may help clinicians and public health officials who need facts about heroin when they seek to prevent and control heroin outbreaks. Heroin use, even when sporadic or non-sustained, is predictive of premature death in the US, with expected causes of death such as trauma and infections.

Psychotic experiences and risk of death in the general population: 24-27 year follow-up of the Epidemiologic Catchment Area study.

BACKGROUND: Psychotic experiences are common in the general population and are associated with adverse psychiatric and social outcomes, even in the absence of a psychotic disorder. AIMS: To examine the association between psychotic experiences and mortality over a 24-27 year period. METHOD: We used data on 15 049 adult participants from four sites of the Epidemiologic Catchment Area baseline survey in the USA in the early 1980s, linked to the National Death Index and other sources of vital status up until 2007. Psychotic experiences were assessed by the Diagnostic Interview Schedule. RESULTS: Lifetime psychotic experiences at baseline (n = 855; weighted prevalence, 5.5%) were significantly associated with all-cause mortality at follow-up after adjustment for sociodemographic characteristics and psychiatric diagnoses, including schizophrenia spectrum disorders (P<0.05). Baseline psychotic experiences were associated with over 5 years' shorter median survival time. Among the underlying causes of death, suicide had a particularly high hazard ratio (9.16, 95% CI 3.19-26.29). CONCLUSIONS: Future research needs to explore the association of psychotic experiences with physical health and lifestyle factors that may mediate the relationship of psychotic experiences with mortality.

Accuracy of reports of lifetime mental and physical disorders: results from the Baltimore Epidemiological Catchment Area study.

IMPORTANCE: Our understanding of how mental and physical disorders are associated and contribute to health outcomes in populations depends on accurate ascertainment of the history of these disorders. Recent studies have identified substantial discrepancies in the prevalence of mental disorders among adolescents and young adults depending on whether the estimates are based on retrospective reports or multiple assessments over time. It is unknown whether such discrepancies are also seen in midlife to late life. Furthermore, no previous studies have compared lifetime prevalence estimates of common physical disorders such as diabetes mellitus and hypertension ascertained by prospective cumulative estimates vs retrospective estimates. OBJECTIVE: To examine the lifetime prevalence estimates of mental and physical disorders during midlife to late life using both retrospective and cumulative evaluations. DESIGN, SETTING, AND PARTICIPANTS: Prospective population-based survey (Baltimore Epidemiologic Catchment Area Survey) with 4 waves of interviews of 1071 community residents in Baltimore, Maryland, between 1981 and 2005. MAIN OUTCOMES AND MEASURES: Lifetime prevalence of selected mental and physical disorders at wave 4 (2004-2005), according to both retrospective data and cumulative evaluations based on 4 interviews from wave 1 to wave 4. RESULTS Retrospective evaluations substantially underestimated the lifetime prevalence of mental disorders as compared with cumulative evaluations. The respective lifetime prevalence estimates ascertained by retrospective and cumulative evaluations were 4.5% vs. 13.1% for major depressive disorder, 0.6% vs. 7.1% for obsessive-compulsive disorder, 2.5% vs. 6.7% for panic disorder, 12.6% vs. 25.3% for social phobia, 9.1% vs. 25.9% for alcohol abuse or dependence, and 6.7% vs. 17.6% for drug abuse or dependence. In contrast, retrospective lifetime prevalence estimates of physical disorders ascertained at wave 4 were much closer to those based on cumulative data from all 4 waves. The respective prevalence estimates ascertained by the 2 methods were 18.2% vs. 20.2% for diabetes, 48.4% vs. 55.4% for hypertension, 45.8% vs. 54.0% for arthritis, 5.5% vs. 7.2% for stroke, and 8.4% vs. 10.5% for cancer. CONCLUSIONS AND RELEVANCE: One-time, cross-sectional population surveys may consistently underestimate the lifetime prevalence of mental disorders. The population burden of mental disorders may therefore be substantially higher than previously appreciated.

The relationship of mental and behavioral disorders to all-cause mortality in a 27-year follow-up of 4 epidemiologic catchment area samples.

Subjects from the Epidemiologic Catchment Area Program, interviewed during 1979-1983, were linked to data in the National Death Index through 2007 to estimate the association of mental and behavioral disorders with death. There were more than 25 years of follow-up for 15,440 individuals, with 6,924 deaths amounting to 307,881 person-years of observation. Data were analyzed by using age as the time scale and parametric approaches to quantify the years of life lost due to disorders. Alcohol, drug use, and antisocial personality disorders were associated with increased risk of death, but there was no strong association with mood and anxiety disorders. Results of high- and low-quality matches with the National Death Index were similar. The 3 behavioral disorders were associated with 5-15 years of life lost, estimated along the life course via the generalized gamma model. Regression tree analyses showed that risk of death was associated with alcohol use disorders in nonblacks and with drug disorders in blacks. Phobia interacted with alcohol use disorders in nonblack women, and obsessive-compulsive disorder interacted with drug use disorders in black men. Both of these anxiety disorders were associated with lower risk of death early in life and higher risk of death later in life.

Depressed mood and antisocial behavior problems as correlates for suicide-related behaviors in Mexico.

Suicide rates in Mexico have been rising steadily for several decades. This study examined the relationship of depressed mood and antisocial behavior problems with thoughts of death, suicide plans and attempts. Data from 22,966 individuals who participated in a population-based nationally-representative survey in Mexico were analyzed. After adjusting for covariates, all odds ratios for thoughts of death and suicidal behaviors were statistically significant in relation to antisocial behavior problems and depressed mood, both moderate and severe. Multiplicative effects of depressed mood and antisocial problems were found, with comorbid individuals showing increased risk of thoughts of death and suicidal plans and attempts, compared to individuals displaying none. Possible explanations, particularly for the multiplicative effect of both mood and problem behaviors on suicide-related behaviors, are discussed in the context of prior findings and directions for future research.