Maria Elena Medina-Mora

Dr. Maria Elena Medina-Mora

Instituto Nacional de Psiquiatría RFM, Mexico City, Ciudad de México, Mexico
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orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 July 2011 in BMC Medicine
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Journal Article
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EBEvelyn Bromet
Evelyn Bromet
LALaura Helena Andrade
Laura Helena Andrade
IHIrving Hwang
Irving Hwang
NSNancy A Sampson
Nancy A Sampson
JAJordi Alonso
Jordi Alonso
RKRonald C Kessler
Ronald C Kessler
Major depression is one of the leading causes of disability worldwide, yet epidemiologic data are not available for many countries, particularly low- to middle-income countries. In this paper, we present data on the prevalence, impairment and demographic correlates of depression from 18 high and low- to middle-income countries in the World Mental Health Survey Initiative. Major depressive episodes (MDE) as defined by the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DMS-IV) were evaluated in face-to-face interviews using the World Health Organization Composite International Diagnostic Interview (CIDI). Data from 18 countries were analyzed in this report (n = 89,037). All countries surveyed representative, population-based samples of adults. The average lifetime and 12-month prevalence estimates of DSM-IV MDE were 14.6% and 5.5% in the ten high-income and 11.1% and 5.9% in the eight low- to middle-income countries. The average age of onset ascertained retrospectively was 25.7 in the high-income and 24.0 in low- to middle-income countries. Functional impairment was associated with recency of MDE. The female: male ratio was about 2:1. In high-income countries, younger age was associated with higher 12-month prevalence; by contrast, in several low- to middle-income countries, older age was associated with greater likelihood of MDE. The strongest demographic correlate in high-income countries was being separated from a partner, and in low- to middle-income countries, was being divorced or widowed. MDE is a significant public-health concern across all regions of the world and is strongly linked to social conditions. Future research is needed to investigate the combination of demographic risk factors that are most strongly associated with MDE in the specific countries included in the WMH.

22 January 2018 in Depression and Anxiety
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JAJordi Alonso
Jordi Alonso
ZLZhaorui Liu
Zhaorui Liu
SESara Evans-Lacko
Sara Evans-Lacko
ESEkaterina Sadikova
Ekaterina Sadikova
NSNancy Sampson
Nancy Sampson
TCthe WHO World Mental Health Survey Collaborators
the WHO World Mental Health Survey Collaborators

10 September 2008 in Acta Psychiatrica Scandinavica
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Journal Article
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JAJordi Alonso
Jordi Alonso
ABA. Buron
A. Buron
RBR. Bruffaerts
R. Bruffaerts
YHY. He
Y. He
JPJ. Posada‐Villa
J. Posada‐Villa
TCthe World Mental Health Consortium
the World Mental Health Consortium

1 August 2005 in Psychological Medicine
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Journal Article
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MMMaria Elena Medina-Mora
Maria Elena Medina-Mora
GBGuilherme Borges
Guilherme Borges
CLCarmen Lara
Carmen Lara
CBCorina Benjet
Corina Benjet
JBJerónimo Blanco
Jerónimo Blanco
JZJoaquín Zambrano
Joaquín Zambrano
Background. This paper describes the 12-month prevalence, severity and demographic correlates of 16 DSM-IV psychiatric disorders and service utilization in the Mexican urban population aged 18–65 years of age. This is representative of 75% of the national adult population.Method. The sample design was a strict probability selection scheme. The response rate was 76·6%. The World Mental Health Survey version of the Composite International Diagnostic Interview was installed on laptops and administered by lay interviewers. An international WHO task force carried out its translation into Spanish.Results. The 12-month prevalence of any disorder was 12·1%. The most common disorders were specific phobia (4·0%), major depressive disorder (3·7%) and alcohol abuse or dependence (2·2%). The 12-month prevalence of very severe disorders was 3·7% of which only 24% used any services. Age was the only variable associated with any 12-month disorder, with the younger more likely to report any disorder. Income was associated with severity, with low and low–average incomes more likely to report a 12-month disorder. Females were more likely to report a mood and anxiety disorder, but less likely to report a substance disorder. The group of separated/widowed/divorced was more likely to report a mood and an impulse-control disorder.Conclusions. The results show that while psychiatric disorders are common in the Mexican population, very severe mental disorders are less common and there is extreme under-utilization of mental health services.

12 May 2017 in BMC Psychiatry
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Journal Article
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BGBizu Gelaye
Bizu Gelaye
YZYinnan Zheng
Yinnan Zheng
MMMaria Elena Medina-Mora
Maria Elena Medina-Mora
MRMarta B. Rondon
Marta B. Rondon
SSSixto E. Sánchez
Sixto E. Sánchez
MWMichelle A. Williams
Michelle A. Williams
The PTSD Checklist-civilian (PCL-C) is one of the most commonly used self-report measures of PTSD symptoms, however, little is known about its validity when used in pregnancy. This study aims to evaluate the reliability and validity of the PCL-C as a screen for detecting PTSD symptoms among pregnant women. A total of 3372 pregnant women who attended their first prenatal care visit in Lima, Peru participated in the study. We assessed the reliability of the PCL-C items using Cronbach’s alpha. Criterion validity and performance characteristics of PCL-C were assessed against an independent, blinded Clinician-Administered PTSD Scale (CAPS) interview using measures of sensitivity, specificity and receiver operating characteristics (ROC) curves. We tested construct validity using exploratory and confirmatory factor analytic approaches. The reliability of the PCL-C was excellent (Cronbach’s alpha =0.90). ROC analysis showed that a cut-off score of 26 offered optimal discriminatory power, with a sensitivity of 0.86 (95% CI: 0.78–0.92) and a specificity of 0.63 (95% CI: 0.62–0.65). The area under the ROC curve was 0.75 (95% CI: 0.71–0.78). A three-factor solution was extracted using exploratory factor analysis and was further complemented with three other models using confirmatory factor analysis (CFA). In a CFA, a three-factor model based on DSM-IV symptom structure had reasonable fit statistics with comparative fit index of 0.86 and root mean square error of approximation of 0.09. The Spanish-language version of the PCL-C may be used as a screening tool for pregnant women. The PCL-C has good reliability, criterion validity and factorial validity. The optimal cut-off score obtained by maximizing the sensitivity and specificity should be considered cautiously; women who screened positive may require further investigation to confirm PTSD diagnosis.

1 May 2008 in Current Opinion in Psychiatry
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Journal Article
Closed access
MMMaria Elena Medina-Mora
Maria Elena Medina-Mora
TRTania Real
Tania Real
The aim of the present article is to review recent research on the prevalence and correlates of inhalant use. During the review period more prevalence studies have been conducted in the developing world, adding information to the ongoing studies that are periodically undertaken in the more developed countries. These studies suggest that inhalant use is widespread among children and adolescents and is increasing among females in the developing and developed world. Not all surveys report inhalants as a separate group from other illegal substances; data by type of inhalants are even rarer, and few studies address abuse or dependence. New evidence suggests lower reliability rates for the diagnostic criteria of dependence as compared with other substances, suggesting the need for a review including the evidence of withdrawal. Studies conducted in the period identify vulnerable groups and suggest an increased risk of injecting drug use, HIV, suicidality and psychiatric disorders among inhalant users. The extension of inhalant abuse and its adverse consequences argues for greater efforts to advance classification and to increase knowledge through research, including the evaluation of prevention and treatment models.