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BackgroundThe US Army suicide rate has increased sharply in recent years. Identifying significant predictors of Army suicides in Army and Department of Defense (DoD) administrative records might help focus prevention efforts and guide intervention content. Previous studies of administrative data, although documenting significant predictors, were based on limited samples and models. A career history perspective is used here to develop more textured models.MethodThe analysis was carried out as part of the Historical Administrative Data Study (HADS) of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). De-identified data were combined across numerous Army and DoD administrative data systems for all Regular Army soldiers on active duty in 2004–2009. Multivariate associations of sociodemographics and Army career variables with suicide were examined in subgroups defined by time in service, rank and deployment history.ResultsSeveral novel results were found that could have intervention implications. The most notable of these were significantly elevated suicide rates (69.6–80.0 suicides per 100 000 person-years compared with 18.5 suicides per 100 000 person-years in the total Army) among enlisted soldiers deployed either during their first year of service or with less than expected (based on time in service) junior enlisted rank; a substantially greater rise in suicide among women than men during deployment; and a protective effect of marriage against suicide only during deployment.ConclusionsA career history approach produces several actionable insights missed in less textured analyses of administrative data predictors. Expansion of analyses to a richer set of predictors might help refine understanding of intervention implications.

Estimate predictive associations of mental disorders with marriage and divorce in a cross-national sample.Population surveys of mental disorders included assessment of age at first marriage in 19 countries (n = 46,128) and age at first divorce in a subset of 12 countries (n = 30,729). Associations between mental disorders and subsequent marriage and divorce were estimated in discrete time survival models.Fourteen of 18 premarital mental disorders are associated with lower likelihood of ever marrying (odds ratios ranging from 0.6 to 0.9), but these associations vary across ages of marriage. Associations between premarital mental disorders and marriage are generally null for early marriage (age 17 or younger), but negative associations come to predominate at later ages. All 18 mental disorders are positively associated with divorce (odds ratios ranging from 1.2 to 1.8). Three disorders, specific phobia, major depression, and alcohol abuse, are associated with the largest population attributable risk proportions for both marriage and divorce.This evidence adds to research demonstrating adverse effects of mental disorders on life course altering events across a diverse range of socioeconomic and cultural settings. These effects should be included in considerations of public health investments in preventing and treating mental disorders.

Although it is well known that generalized anxiety disorder (GAD) is highly co-morbid with other mental disorders, little is known about the extent to which earlier disorders predict the subsequent first onset and persistence of GAD. These associations are examined in the current report using data from four community surveys in the World Health Organization (WHO) International Consortium in Psychiatric Epidemiology (ICPE).The surveys come from Brazil, Canada, the Netherlands and the United States. The Composite International Diagnostic Interview (CIDI) was used to assess DSM-III-R anxiety, mood and substance use disorders in these surveys. Discrete-time survival analysis was used to examine the associations of retrospectively reported earlier disorders with first onset of GAD. Logistic regression analysis was used to examine the associations of the disorders with persistence of GAD.Six disorders predict first onset of GAD in all four surveys: agoraphobia, panic disorder, simple phobia, dysthymia, major depression and mania. With the exception of simple phobia, only respondents with active disorders have elevated risk of GAD. In the case of simple phobia, in comparison, respondents with a history of remitted disorder also have consistently elevated risk of GAD. Simple phobia is also the only disorder that predicts the persistence of GAD.The causal processes linking temporally primary disorders to onset of GAD are likely to be state-dependent. History of simple phobia might be a GAD risk marker. Further research is needed to explore the mechanisms involved in the relationship between simple phobia and subsequent GAD.

To identify the number of people in the United States with untreated serious mental illness (SMI) and the reasons for their lack of treatment.The National Comorbidity Survey; cross-sectional, nationally representative household survey.An operationalization of the SMI definition set forth in the Alcohol, Drug Abuse, and Mental Health Administration Reorganization Act identified individuals with SMI in the 12 months prior to the interview. The presence of SMI then was related to the use of mental health services in the past 12 months.Of the 6.2 percent of respondents who had SMI in the year prior to interview, fewer than 40 percent received stable treatment. Young adults and those living in nonrural areas were more likely to have unmet needs for treatment. The majority of those who received no treatment felt that they did not have an emotional problem requiring treatment. Among those who did recognize this need, 52 percent reported situational barriers, 46 percent reported financial barriers, and 45 percent reported perceived lack of effectiveness as reasons for not seeking treatment. The most commonly reported reason both for failing to seek treatment (72 percent) and for treatment dropout (58 percent) was wanting to solve the problem on their own.Although changes in the financing of services are important, they are unlikely by themselves to eradicate unmet need for treatment of SMI. Efforts to increase both self-recognition of need for treatment and the patient centeredness of care also are needed.

The survey data presented here are on the national prevalences of major life-time perceived discrimination and day-to-day perceived discrimination; the associations between perceived discrimination and mental health; and the extent to which differential exposure and differential emotional reactivity to perceived discrimination account for the well-known associations between disadvantaged social status and mental health. Although more prevalent among people with disadvantaged social status, results show that perceived discrimination is common in the total population, with 33.5 percent of respondents in the total sample reporting exposure to major lifetime discrimination and 60.9 percent reporting exposure to day-to-day discrimination. The associations of perceived discrimination with mental health are comparable in magnitude to those of other more commonly studied stressors, and these associations do not vary consistently across subsamples defined on the basis of social status. Even though perceived discrimination explains only a small part of the observed associations between disadvantaged social status and mental health, given its high prevalence, wide distribution, and strong associations with mental health, perceived discrimination needs to be treated much more seriously than in the past in future studies of stress and mental health.

We analyzed data from two national surveys to estimate the short-term work disability associated with thirty-day major depression. Depressed workers were found to have between 1.5 and 3.2 more short-term work-disability days in a thirty-day period than other workers had, with a salary-equivalent productivity loss averaging between $182 and $395. These workplace costs are nearly as large as the direct costs of successful depression treatment, which suggests that encouraging depressed workers to obtain treatment might be cost-effective for some employers.

Data on eight specific fears representing DSM-III-R simple phobia were analysed to evaluate: (a) their prevalence and (b) the validity of subtypes of specific phobia defined by DSM-IV.A modified version of the Composite International Diagnostic Interview was administered to a probability sample of 8098 community respondents. Correlates of responses to questions concerning these fears were analysed.The most prevalent specific fears were of animals among women, and of heights among men. Slight evidence was found for specific phobia subtypes. Number of fears, independent of type, powerfully predicted impairment, comorbidity, illness course, demographic features, and family psychopathology.Number of specific fears may mark a general predisposition to psychopathology. More detailed information is needed to resolve the question of specific phobia subtypes.

This article reports the results of a cross-national investigation of patterns of comorbidity between substance use and psychiatric disorders in six studies participating in the International Consortium in Psychiatric Epidemiology. In general, there was a strong association between mood and anxiety disorders as well as conduct and antisocial personality disorder with substance disorders at all sites. The results also suggest that there is a continuum in the magnitude of comorbidity as a function of the spectrum of substance use category (use, problems, dependence), as well as a direct relationship between the number of comorbid disorders and increasing levels of severity of substance use disorders (which was particularly pronounced for drugs). Finally, whereas there was no specific temporal pattern of onset for mood disorders in relation to substance disorders, the onset of anxiety disorders was more likely to precede that of substance disorders in all countries. These results illustrate the contribution of cross-national data to understanding the patterns and risk factors for psychopathology and substance use disorders.

General population data are presented on patterns and predictors of temporal progression of alcohol dependence symptoms in the general population. The data come from the National Comorbidity Survey, a nationally representative general population survey of respondents ages 15-54. Lifetime symptom classes were estimated with latent class analysis (LCA). A 4-class LCA solution, including a 1st asymptomatic class and 3 progressively more serious symptomatic classes, was found to fit the data. Probability of initial symptom onset among drinkers was found to be highest in the 10-24 age range, to be higher among men than women, and to have increased dramatically in the past 4 decades. Age, gender, and cohort effects were less powerful in predicting symptom progression. A narrowing of the gender difference over time was due largely to a convergence in initial symptom onset among men and women ages 10-24. These results suggest that a rise in initial problems was more important than an increase in the transition from problems to dependence in accounting for the growing prevalence of alcohol dependence during the post-World War II years in the United States.

The explosion of adult attachment research in the last decade has been limited by its reliance on college student and distressed samples. Using a large nationally representative sample of American adults, the authors examined the relation of sociodemographics, childhood adversity, parental representations, adult psychopathology, and personality traits to adult attachment in an effort to replicate previous findings and extend the theory. Distribution of adult attachment styles was similar to that in prior studies: 59% secure, 25% avoidant, and 11% anxious. Adult attachment was associated with several sociodemographic variables (e.g., income, age, race) not previously studied. Childhood adversities of an interpersonal nature were strongly related to insecure adult attachment. Various types of adult psychopathologies and personality traits were also strongly related to adult attachment. Implications for adult attachment theory and future research are discussed.

This study focuses on mental health problems and compares the association of demographic and socioeconomic factors to the use of mental health specialty care and general medical care in the United States and the Canadian province, Ontario. It also examines how lack of insurance coverage in the United States and perceived need for care affects differences between the two countries. We employ a cross-sectional study design using the 1990 U.S. National Comorbidity Survey and the 1990 Mental Health Supplement to the Ontario Health Survey. Overall, 8.8% of Americans report one or more visits to the health sector for a mental health problem, compared to 6.9% of Canadians in Ontario. Americans with the highest incomes and no mental morbidity are much more likely to receive services than their Canadian counterparts. By contrast, Americans with the lowest incomes and high morbidity are much less likely to receive services for mental health problems than a similar group of Canadians. These results suggest that universal and comprehensive coverage, as exists in Ontario, does not necessarily lead to increased use of services with low value. However, the greater prevalence of perceived need for care among Americans with higher socioeconomic status and low mental morbidity suggests that the United States should be cautious in drawing lessons from other countries.

While studies of psychopathology have begun to consider social consequences of psychiatric disorders during the past decade, marriage has received little attention, despite evidence that it influences life quality. The present paper examines the effects of clinically significant psychiatric disorders on the probability and timing of first marriage and whether the relationships between psychiatric disorders and marriage differ by type of disorder, gender, and birth cohort. Psychiatric disorders are found to have substantial effects on entry into first marriage. These effects are the same for men and women across all cohorts. Individual psychiatric disorders have similar effects on entry into first marriage. Psychiatric disorders are positively associated with early first marriage, which is strongly related to adverse consequences, and negatively associated with on-time and late first marriage, which are related to benefits such as financial security and social support. These results highlight the importance of early interventions for psychiatric disorders-if not for the purposes of primary prevention, then for the purposes of preventing the cumulation of adversities that occur secondarily through early marriage.

General population data are presented on the prevalence and correlates of comorbidity between DSM-III-R major depressive disorder (MDD) and other DSM-III-R disorders. The data come from the US National Comorbidity Survey, a large general population survey of persons aged 15-54 years in the non-institutionalised civilian population. Diagnoses are based on a modified version of the Composite International Diagnostic Interview (CIDI). The analysis shows that most cases of lifetime MDD are secondary. In the sense that they occur in people with a prior history of another DSM-III-R disorder. Anxiety disorders are the most common primary disorders. The time-lagged effects of most primary disorders on the risk of subsequent MDD continue for many years without change in magnitude. Secondary MDD is, in general, more persistent and severe than pure or primary MDD. This has special public health significance because lifetime prevalence of secondary MDD has increased in recent cohorts, while the prevalence of pure and primary depression has remained unchanged.

The way health varies with age is importantly stratified by socioeconomic status (SES)--specifically, education and income. Prior theory and cross-sectional data suggest that among higher SES persons the onset of health problems is usually postponed until rather late in life, while health declines are prevalent in lower SES groups by middle age. Thus, SES differences in health are small in early adulthood, but increase with age until relatively late in life, when they diminish due to selection or greater equalization of health risks and protections. The present paper strengthens our causal and interpretive understanding of these phenomena by showing: (1) that results previously reported for indices of SES hold separately for education and income; (2) that the interaction between age and SES (i.e., education or income) in predicting health can be substantially explained by the greater exposure of lower SES persons to a wide range of psychosocial risk factors to health, especially in middle and early old age, and, to a lesser degree, the greater impact of these risk factors on health with age; and (3) that results (1) and (2) generally hold in short-term longitudinal as well as in cross-sectional data. Implications for science and policy in the areas of aging, health, and social stratification are discussed.

Although previous research has shown that childhood adversity has long-term effects on adult depression, little is known about the causal pathways involved in these effects. In this report data from a two-wave longitudinal survey of the U.S. household population are used to study these pathways as they affect the association between childhood family violence and adult recurrence of depression. We focus on recurrence of depression because most episodes of clinically significant depression in adulthood occur to persons with a history of depression. We find that chronic interpersonal stress in adulthood mediates the effect of childhood family violence on recurrence of depression, and that childhood family violence modifies the effect of chronic adult interpersonal stress on recurrence of depression. Furthermore, in the absence of chronic adult interpersonal stress there is no association between childhood family violence and adult recurrence of depression.

Self-report data on Extraversion (E) and Neuroticism (N), together with ratings by the co-twin, were obtained from a sample of 826 adult female twin pairs ascertained through a population-based twin register. Data were analyzed using a model that allowed for the contributions to personality ratings of the rater's personality (rater bias) as well as of the personality of the person being rated. For E, but not for N, significant rater bias was found, with extraverted respondents tending to underestimate, and introverted respondents tending to overestimate, the Extraversion of their co-twins. Good agreement between self-reports and ratings by the respondent's co-twin was found for both E and N. Substantial genetic influences were found for both personality traits, confirming findings from genetic studies of personality that have relief only on self-reports of respondents.

A discrete-time survival analysis of recovery from major depressive episodes for a sample of married subjects (N = 119) identified several significant predictors of recovery including comorbidity for anxiety disorders or substance abuse, social support, age, and education. Furthermore, the analysis distinguished between different sources and types of social support, documenting that spouses' positive responses to the depression predict rapid recovery whereas the perception that friendships are conflictual predicts slow recovery. Finally, the analysis documented changes in the importance of predictor variables over the course of the episode. Specifically, spouse's negative reactions to the depression and subject's education level became more important predictors of recovery as the episode became longer, and the recovery advantage experienced by younger respondents lessened over time.

There is inconsistency in the literature on the relationship between age and depressive symptoms. Although a careful review shows that some of this inconsistency can be reconciled by recognizing the nonlinear relationship (Newmann, 1989), 2 additional issues remain unclear. One is that most previous studies used depression screening scales that contain somatic items that could introduce an age bias. The other is that most previous studies combined samples of men and women even though there is evidence that the sex difference in depressive symptoms varies with age. These 2 issues are addressed in this article, using analyzed data from 2 large national surveys. There is a consistent, but quite modest, nonlinear association between age, somatic, and nonsomatic depressive symptoms in both surveys. There is no significant sex difference in the age curves.

Results from a 1986 national survey (N = 3,614) show that having ever been widowed is associated with current levels of depression and that this association is greater for men than women. Some of this apparent gender difference occurs because men have been widowed for a shorter average period of time than women and the effects of widowhood appear to lessen over time. Widowhood also is associated with different types and amounts of life strain for men and women. The results suggest that the primary mechanism linking widowhood to depression among women is financial strain. Among men, the more critical mechanisms seem to be strains associated with household management. When specific strains occur, they appear to have different effects on respondents who have ever been widowed and those who have not. Taken together, these results suggest that what appears on the surface to be a gender difference in vulnerability to the same life event turns out upon closer examination to occur because widowhood does not affect men and women in the same way.

This study contributes to the growing body of research on situational determinants of coping. Based on a general population sample of 1556 married men and women, it goes beyond previous efforts in two ways. First, it presents the first large-scale analysis of situational determinants of coping effectiveness in response to a wide variety of stressful life events and chronic difficulties. This analysis documents that previous aggregate analyses overlooked a number of specifications which, when observed, provide insights into the mechanisms of coping effectiveness. Second, it assesses the importance of two empirically generated multivariate coping profiles, passivity and versatility. The study's findings suggest that these profiles are associated significantly with adjustment to stress, that these associations differ across situations, and that they help to interpret the effects of separate coping strategies.

Analysts dispute what roles biomedical, psychosocial, and other factors play in determining the duration of morbidity and disability over the life course. Cross-sectional data from two national surveys of adults aged 25 years and over not only show, however, that age and socioeconomic status (SES) are significant predictors of self-reported physical health; they also demonstrate that the relation of age to health varies with SES features. Longitudinal research is needed to test the finding that enduring functional limitations in terms of time are actually compressed in higher SES groups. To improve well-being in our society, moreover, requires specifying why SES differences occur, and perhaps ultimately reducing socioeconomic inequality itself.