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Ramin Mojtabai

Bio: Ramin Mojtabai is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Population & Mental health. The author has an hindex of 61, co-authored 299 publications receiving 13668 citations. Previous affiliations of Ramin Mojtabai include University of California, San Diego & Columbia University.


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Journal ArticleDOI
TL;DR: The prevalence of depression in adolescents and young adults has increased in recent years and trends in prevalence translate into a growing number of young people with untreated depression, calling for renewed efforts to expand service capacity to best meet the mental health care needs of this age group.
Abstract: OBJECTIVES: This study examined national trends in 12-month prevalence of major depressive episodes (MDEs) in adolescents and young adults overall and in different sociodemographic groups, as well as trends in depression treatment between 2005 and 2014. METHODS: Data were drawn from the National Surveys on Drug Use and Health for 2005 to 2014, which are annual cross-sectional surveys of the US general population. Participants included 172 495 adolescents aged 12 to 17 and 178 755 adults aged 18 to 25. Time trends in 12-month prevalence of MDEs were examined overall and in different subgroups, as were time trends in the use of treatment services. RESULTS: The 12-month prevalence of MDEs increased from 8.7% in 2005 to 11.3% in 2014 in adolescents and from 8.8% to 9.6% in young adults (both P < .001). The increase was larger and statistically significant only in the age range of 12 to 20 years. The trends remained significant after adjustment for substance use disorders and sociodemographic factors. Mental health care contacts overall did not change over time; however, the use of specialty mental health providers increased in adolescents and young adults, and the use of prescription medications and inpatient hospitalizations increased in adolescents. CONCLUSIONS: The prevalence of depression in adolescents and young adults has increased in recent years. In the context of little change in mental health treatments, trends in prevalence translate into a growing number of young people with untreated depression. The findings call for renewed efforts to expand service capacity to best meet the mental health care needs of this age group.

930 citations

Journal ArticleDOI
TL;DR: Efforts to increase treatment seeking and reduce treatment drop-out need to take these barriers into consideration as well as to recognize that barriers differ as a function of sociodemographic and clinical characteristics.
Abstract: BackgroundThe aim was to examine barriers to initiation and continuation of treatment among individuals with common mental disorders in the US general population.MethodRespondents in the National Comorbidity Survey Replication with common 12-month DSM-IV mood, anxiety, substance, impulse control and childhood disorders were asked about perceived need for treatment, structural barriers and attitudinal/evaluative barriers to initiation and continuation of treatment.ResultsLow perceived need was reported by 44.8% of respondents with a disorder who did not seek treatment. Desire to handle the problem on one's own was the most common reason among respondents with perceived need both for not seeking treatment (72.6%) and for dropping out of treatment (42.2%). Attitudinal/evaluative factors were much more important than structural barriers both to initiating (97.4% v. 22.2%) and to continuing (81.9% v. 31.8%) of treatment. Reasons for not seeking treatment varied with illness severity. Low perceived need was a more common reason for not seeking treatment among individuals with mild (57.0%) than moderate (39.3%) or severe (25.9%) disorders, whereas structural and attitudinal/evaluative barriers were more common among respondents with more severe conditions.ConclusionsLow perceived need and attitudinal/evaluative barriers are the major barriers to treatment seeking and staying in treatment among individuals with common mental disorders. Efforts to increase treatment seeking and reduce treatment drop-out need to take these barriers into consideration as well as to recognize that barriers differ as a function of sociodemographic and clinical characteristics.

722 citations

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TL;DR: Data support the reliability and concurrent validity of the BDI‐II‐Persian as a measure of depressive symptoms in nonclinical samples and factor analysis shows models with strongly correlated affective‐cognitive and somatic‐vegetative factors provided a better fit than models with one global factor.
Abstract: The Beck Depression Inventory (BDI) is perhaps the most commonly used screening instrument for depression in the general population. We examined the psychometric properties of a Persian-language version of the second edition of this instrument (BDI-II) [Beck et al., 1996] in an Iranian college-student sample. In a sample of 125 student volunteers from two Iranian universities, we compared mean item scores on the BDI-II-Persian with those on the English-language version administered to North American college students, and assessed internal consistency and test-retest reliability of the BDI-II-Persian and its concurrent validity against a measure of negative automatic thoughts in depression, the Automatic Thoughts Questionnaire [Hollon and Kendall, 1980]. We also examined the factor structure of the BDI-II-Persian through comparing the fit of various proposed models to the data using confirmatory factor analysis. The BDI-II-Persian had high internal consistency (Cronbach's alpha=0.87) and acceptable test-retest reliability (r=0.74). The instrument correlated strongly with the Automatic Thoughts Questionnaire. In factor analysis, models with strongly correlated affective-cognitive and somatic-vegetative factors provided a better fit than models with one global factor. These data support the reliability and concurrent validity of the BDI-II-Persian as a measure of depressive symptoms in nonclinical samples.

669 citations

Journal ArticleDOI
TL;DR: Mood disorders, comorbid mood and anxiety disorders, and mental disorders associated with impairment in role functioning or suicidality were strong predictors of perceived need, and various sociodemographic and attitudinal factors appeared to be associated with perception of need, help-seeking, and participants' choices of professionals.
Abstract: Background A majority of adults with common mental disorders do not seek professional help. To better understand why not, we examined the correlates of various stages of help-seeking, including perceived need for professional help, seeking such help, and from which professionals participants sought help. Methods The sample for this study comprised 1792 participants in the National Comorbidity Survey, conducted from 1990-1992, who were diagnosed with a 12-month DSM-III-R mood, anxiety, or substance disorder. In this sample, we assessed correlates of perceived need for professional help, seeking professional help among those with a need, and, among those who did seek professional help, seeking help from mental health professionals. Results Mood disorders, comorbid mood and anxiety disorders, and mental disorders associated with impairment in role functioning or suicidality were strong predictors of perceived need. Psychopathology was also associated with the decision to seek help from mental health professionals, but not with the decision to seek professional help overall. After controlling for the nature and severity of psychopathology, various sociodemographic and attitudinal factors appeared to be associated with perception of need, help-seeking, and participants' choices of professionals. Conclusions Unmet need for mental health care is a serious public health problem. Meeting this need requires expanding our attention beyond psychopathology to various evaluations and decisions that affect help-seeking. Our results suggest the importance of attitude and behavior change strategies in reducing the gap between need and care.

661 citations

Journal ArticleDOI
TL;DR: Differences in NP performance between schizophrenia and psychotic affective disorders are largely quantitative, and a significant minority of schizophrenia patients are NP normal.
Abstract: Background: Mounting evidence suggests that compromised neurocognitive function is a central feature of schizophrenia. There are, however, schizophrenia patients with a normal neuropsychological (NP) performance, but estimates of the proportion of NP normal patients vary considerably between studies. Neurocognitive dysfunction is also a characteristic of other psychotic disorders, yet there are inconsistencies in the literature regarding the similarity to impairments in schizophrenia. NP normality in psychotic affective disorders has not been systematically studied. Methods: Data came from the Suffolk County Mental Health Project, an epidemiological study of first-admission patients with psychotic disorders. Respondents with a diagnosis of schizophrenia (N = 94) or schizoaffective disorder (N = 15), bipolar disorder (N = 78), and major depressive disorder (N = 48) were administered a battery of NP tests assessing 8 cognitive domains 2 years after index admission. Patients’ performance profile was compared, and their NP status was classified based on 3 previously published criteria that vary in their stringency. Results: The 4 diagnostic groups had comparable NP performance profile patterns. All groups demonstrated impairments in memory, executive functions, and attention and processing speed. However, schizophrenia patients were more impaired than the other groups on all cognitive domains. Results were not attenuated when IQ was controlled. Prevalence of NP normality ranged between 16% and 45% in schizophrenia, 20% and 33% in schizoaffective disorder, 42% and 64% in bipolar disorder, and 42% and 77% in depression, depending on the criterion employed. Conclusions: Evidence suggests that differences in NP performance between schizophrenia and psychotic affective disorders are largely quantitative. NP impairment is also common in psychotic affective disorders. A significant minority of schizophrenia patients are NP normal.

468 citations


Cited by
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Journal Article
TL;DR: This research examines the interaction between demand and socioeconomic attributes through Mixed Logit models and the state of art in the field of automatic transport systems in the CityMobil project.
Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

4,784 citations

Journal ArticleDOI
TL;DR: It is concluded that multiple Imputation for Nonresponse in Surveys should be considered as a legitimate method for answering the question of why people do not respond to survey questions.
Abstract: 25. Multiple Imputation for Nonresponse in Surveys. By D. B. Rubin. ISBN 0 471 08705 X. Wiley, Chichester, 1987. 258 pp. £30.25.

3,216 citations

Journal ArticleDOI
TL;DR: At a global level, DALYs and HALE continue to show improvements and the importance of continued health interventions, which has changed in most locations in pace with the gross domestic product per person, education, and family planning.

3,029 citations

Journal ArticleDOI
TL;DR: Most people with mental disorders in the United States remain either untreated or poorly treated, and interventions are needed to enhance treatment initiation and quality.
Abstract: Background Dramatic changes have occurred in mental health treatments during the past decade. Data on recent treatment patterns are needed to estimate the unmet need for services. Objective To provide data on patterns and predictors of 12-month mental health treatment in the United States from the recently completed National Comorbidity Survey Replication. Design and Setting Nationally representative face-to-face household survey using a fully structured diagnostic interview, the World Health Organization’s World Mental Health Survey Initiative version of the Composite International Diagnostic Interview, carried out between February 5, 2001, and April 7, 2003. Participants A total of 9282 English-speaking respondents 18 years and older. Main Outcome Measures Proportions of respondents with 12-monthDSM-IVanxiety, mood, impulse control, and substance disorders who received treatment in the 12 months before the interview in any of 4 service sectors (specialty mental health, general medical, human services, and complementary and alternative medicine). Number of visits and proportion of patients who received minimally adequate treatment were also assessed. Results Of 12-month cases, 41.1% received some treatment in the past 12 months, including 12.3% treated by a psychiatrist, 16.0% treated by a nonpsychiatrist mental health specialist, 22.8% treated by a general medical provider, 8.1% treated by a human services provider, and 6.8% treated by a complementary and alternative medical provider (treatment could be received by >1 source). Overall, cases treated in the mental health specialty sector received more visits (median, 7.4) than those treated in the general medical sector (median, 1.7). More patients in specialty than general medical treatment also received treatment that exceeded a minimal threshold of adequacy (48.3% vs 12.7%). Unmet need for treatment is greatest in traditionally underserved groups, including elderly persons, racial-ethnic minorities, those with low incomes, those without insurance, and residents of rural areas. Conclusions Most people with mental disorders in the United States remain either untreated or poorly treated. Interventions are needed to enhance treatment initiation and quality.

2,610 citations