Prevalence and socio-demographic correlates of drug use among adolescents: results from the Mexican Adolescent Mental Health Survey

Addiction ◽  
2007 ◽  
Vol 102 (8) ◽  
pp. 1261-1268 ◽  
Author(s):  
Corina Benjet ◽  
Guilherme Borges ◽  
Maria Elena Medina-Mora ◽  
Clara Fleiz ◽  
Jeronimo Blanco ◽  
...  
2020 ◽  
Vol 263 ◽  
pp. 540-546 ◽  
Author(s):  
Corina Benjet ◽  
Yesica C. Albor ◽  
Elizabeth S. Bocanegra ◽  
Guilherme Borges ◽  
Enrique Méndez ◽  
...  

Addiction ◽  
2016 ◽  
Vol 111 (10) ◽  
pp. 1836-1847 ◽  
Author(s):  
Masoumeh Amin-Esmaeili ◽  
Afarin Rahimi-Movaghar ◽  
Vandad Sharifi ◽  
Ahmad Hajebi ◽  
Reza Radgoodarzi ◽  
...  

Author(s):  
GUILHERME BORGES ◽  
CORINA BENJET ◽  
MARIA ELENA MEDINA-MORA ◽  
RICARDO OROZCO ◽  
MATTHEW NOCK

2009 ◽  
Vol 50 (4) ◽  
pp. 386-395 ◽  
Author(s):  
Corina Benjet ◽  
Guilherme Borges ◽  
Maria Elena Medina-Mora ◽  
Joaquin Zambrano ◽  
Sergio Aguilar-Gaxiola

2020 ◽  
Vol 66 (4) ◽  
pp. 361-372 ◽  
Author(s):  
Melur Sukumar Gautham ◽  
Gopalkrishna Gururaj ◽  
Mathew Varghese ◽  
Vivek Benegal ◽  
Girish N Rao ◽  
...  

Background: Recognizing the need for good quality, scientific and reliable information for strengthening mental health policies and programmes, the National Mental Health Survey (NMHS) of India was implemented by National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, in the year 2015–2016. Aim: To estimate the prevalence, socio-demographic correlates and treatment gap of mental morbidity in a representative population of India. Methods: NMHS was conducted across 12 Indian states where trained field investigators completed 34,802 interviews using tablet-assisted personal interviews. Eligible study subjects (18+ years) in households were selected by a multi-stage, stratified, random cluster sampling technique. Mental morbidity was assessed using MINI 6. Three-tier data monitoring system was adopted for quality assurance. Weighted and specific prevalence estimates were derived (current and lifetime) for different mental disorders. Mental morbidity was defined as those disorders as per the International Statistical Classification of Diseases, Tenth Revision Diagnostic Criteria for Research (ICD-10 DCR). Multivariate logistic regression was conducted to examine risk for mental morbidity by different socio-demographic factors. Survey was approved by central and state-level institutional ethical committees. Results: The weighted lifetime prevalence of ‘any mental morbidity’ was estimated at 13.67% (95% confidence interval (CI) = 13.61, 13.73) and current prevalence was 10.56% (95% CI = 10.51, 10.61). Mental and behavioural problems due to psychoactive substance use (F10–F19; 22.44%), mood disorders (F30–F39; 5.61%) and neurotic and stress-related disorders (F40–F48; 3.70%) were the most commonly prevalent mental morbidity in India. The overall prevalence was estimated to be higher among males, middle-aged individuals, in urban-metros, among less educated and in households with lower income. Treatment gap for overall mental morbidity was 84.5%. Conclusion: NMHS is the largest reported survey of mental morbidity in India. Survey estimated that nearly 150 million individuals suffer from one or the other mental morbidity in India. This information is to be used for planning, delivery and evaluating mental health programming in the country.


Public Health ◽  
2015 ◽  
Vol 129 (2) ◽  
pp. 162-172 ◽  
Author(s):  
V. Kekkonen ◽  
P. Kivimäki ◽  
H. Valtonen ◽  
J. Hintikka ◽  
T. Tolmunen ◽  
...  

2018 ◽  
Vol 24 (08) ◽  
pp. 789-799 ◽  
Author(s):  
Lilian A. Ghandour ◽  
Al Amira S. Shehab ◽  
Pia Zeinoun ◽  
Lucy Tavitian ◽  
Fadi Halabi ◽  
...  

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