R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state

This study is part of a broader research assessing mental health state indicators in a sample of the Argentinean general population during the lengthy Argentinean quarantine. This study has two main aims: 1) to analyze differences in specific mental health state (MHS) indicators (depression, state-a...

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Autor principal: López Steinmetz, Lorena Cecilia
Formato: dataSet
Lenguaje:Inglés
Publicado: 2021
Materias:
Health state indicators
Quarantine
Depression
State-anxiety
COVID-19
SARS-CoV-2
https://purl.org/becyt/ford/5.1
Acceso en línea:http://hdl.handle.net/11086/20168
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R14111086-20168
record_format dspace
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Health state indicators
Quarantine
Depression
State-anxiety
COVID-19
SARS-CoV-2
https://purl.org/becyt/ford/5.1
spellingShingle Health state indicators
Quarantine
Depression
State-anxiety
COVID-19
SARS-CoV-2
https://purl.org/becyt/ford/5.1
López Steinmetz, Lorena Cecilia
R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state
topic_facet Health state indicators
Quarantine
Depression
State-anxiety
COVID-19
SARS-CoV-2
https://purl.org/becyt/ford/5.1
description This study is part of a broader research assessing mental health state indicators in a sample of the Argentinean general population during the lengthy Argentinean quarantine. This study has two main aims: 1) to analyze differences in specific mental health state (MHS) indicators (depression, state-anxiety, trait-anxiety, and suicidal risk), during three quarantine sub-periods (starting since the first quarantine extension); 2) to assess multiple relationships between each specific MHS indicator and potentially affecting factors.
format dataSet
author López Steinmetz, Lorena Cecilia
author_facet López Steinmetz, Lorena Cecilia
author_sort López Steinmetz, Lorena Cecilia
title R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state
title_short R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state
title_full R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state
title_fullStr R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state
title_full_unstemmed R Code and dataset for: Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina: The impacts of quarantine extensions on mental health state
title_sort r code and dataset for: levels and predictors of depression, anxiety, and suicidal risk during covid-19 pandemic in argentina: the impacts of quarantine extensions on mental health state
publishDate 2021
url http://hdl.handle.net/11086/20168
work_keys_str_mv AT lopezsteinmetzlorenacecilia rcodeanddatasetforlevelsandpredictorsofdepressionanxietyandsuicidalriskduringcovid19pandemicinargentinatheimpactsofquarantineextensionsonmentalhealthstate
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