| Autor: |
Arenas-Castañeda, Pavel E., Bisquert, Fuensanta Aroca, Martinez-Nicolas, Ismael, Espíndola, Luis A. Castillo, Barahona, Igor, Maya-Hernández, Cynthya, Lavana Hernández, Martha Miriam, Manrique Mirón, Paulo César, Alvarado Barrera, Daniela Guadalupe, Aguilar, Erik Treviño, Núñez, Axayácatl Barrios, Jesus Carlos, Giovanna De, Garcés, Anabel Vildosola, Mercado, Josselyne Flores, Luisa Barrigon, Maria, Artes, Antonio, de Leon, Santiago, Molina-Pizarro, Cristian Antonio, Franco, Arsenio Rosado, Perez-Rodriguez, Mercedes |
| Zdroj: |
BMJ Open; Jul2020, Vol. 10 Issue 7, p1-8, 8p |
| Abstrakt: |
Introduction Mental disorders represent the second cause of years lived with disability worldwide. Suicide mortality has been targeted as a key public health concern by the WHO. Smartphone technology provides a huge potential to develop massive and fast surveys. Given the vast cultural diversity of Mexico and its abrupt orography, smartphone-based resources are invaluable in order to adequately manage resources, services and preventive measures in the population. The objective of this study is to conduct a universal suicide risk screening in a rural area of Mexico, measuring also other mental health outcomes such as depression, anxiety and alcohol and substance use disorders. Methods and analysis A population-based cross-sectional study with a temporary sampling space of 9 months will be performed between September 2019 and June 2020. We expect to recruit a large percentage of the target population (at least 70%) in a short-term survey of Milpa Alta Delegation, which accounts for 137 927 inhabitants in a territorial extension of 288 km² . They will be recruited via an institutional call and a massive public campaign to fill in an online questionnaire through mobile-assisted or computer-assisted web app. This questionnaire will include data on general health, validated questionnaires including Well-being Index 5, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale 2, Alcohol Use Disorders Identification Test, selected questions of the Drug Abuse Screening Test and Columbia-Suicide Severity Rating Scales and Diagnostic and statistical manual of mental disorders (DSM-5) questions about self-harm. We will take into account information regarding time to mobile app response and geo-spatial location, and aggregated data on social, demographical and environmental variables. Traditional regression modelling, multilevel mixed methods and data-driven machine learning approaches will be used to test hypotheses regarding suicide risk factors at the individual and the population level. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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