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README.md
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---
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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task_categories:
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- tabular-classification
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language:
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- es
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pretty_name: Mental health of people in Argentina post quarantine COVID-19 Dataset
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size_categories:
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- 1K<n<10K
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---
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# Mental health of people in Argentina post quarantine COVID-19 Dataset
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### Dataset Summary
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Dataset modified for research from:
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Levels and predictors of depression, anxiety, and suicidal risk during COVID-19 pandemic in Argentina:
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The impacts of quarantine extensions on mental health state created by López Steinmetz, Lorena Cecilia for Universidad Nacional de Córdoba.
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Facultad de Psicología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas.
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Instituto de Investigaciones Psicológicas; Argentina.
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http://hdl.handle.net/11086/20168
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The dataset underwent modifications as follows:
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SUB PERIODS and SEX columns were removed.
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Rows with PROVINCE equal to 'Otro' or 'other' were removed.
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Additionally, rows with EDUCATION equal to 'Otro' were removed.
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The following columns were transformed from non-numeric values to numeric values:
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```
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'MENTAL DISORDER HISTORY': {'no': 0, 'yes': 50}
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'EDUCATION': {
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'Completed postgraduate': 30,
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'Incomplete tertiary or university': 60,
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'Completed high school': 70,
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'Incomplete postgraduate': 40,
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'Completed tertiary or university': 50,
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'Incomplete high school': 80,
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'Incomplete elementary school': 100,
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'Completed elementary school': 90}
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'SUIC ATTEMPT HISTORY': {'ideation': 50, 'no': 0, 'yes': 100}
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'LIVING WITH SOMEBODY': {'no': 20, 'yes': 0}
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'ECONOMIC INCOME': {'yes': 0, 'no': 50}
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```
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Furthermore, a new column 'REGION' was added to provinces according to the following assignment function:
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```
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def assign_region(province):
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if province in ['Corrientes', 'Chaco', 'Misiones', 'Formosa', 'Entre Ríos']:
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return 'Nordeste-Litoral'
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elif province in ['Tucumán', 'Jujuy', 'Salta', 'Catamarca', 'Santiago del Estero']:
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return 'Noroeste'
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elif province in ['San Luis', 'San Juan', 'Mendoza', 'La Rioja']:
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return 'Cuyo'
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elif province in ['Neuquén', 'Río Negro', 'La Pampa']:
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return 'Patagonia Centro-Norte'
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elif province in ['Tierra del Fuego', 'Santa Cruz', 'Chubut']:
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return 'Patagonia Centro-Sur'
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elif province == 'Santa Fe':
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return 'Santa Fe'
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elif province == 'Buenos Aires provincia':
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return 'Buenos Aires'
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elif province == 'Córdoba':
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return 'Córdoba'
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else:
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return 'CABA'
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```
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### Supported Tasks and Leaderboards
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`mental-health-arg-post-quarantine-covid19-model`:
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The dataset can be used to train a model for Mental health of people in Argentina post quarantine COVID-19.
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### Languages
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The text in the dataset is in Spanish
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## Dataset Structure
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### Data Instances
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```
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{
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'EDUCATION': '30',
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'PROVINCE': 'CABA (Buenos Aires capital)',
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'AGE': '30',
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'MENTAL DISORDER HISTORY': '0',
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'SUIC ATTEMPT HISTORY': '50',
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'LIVING WITH SOMEBODY': '20'
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'ECONOMIC INCOME': '0',
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'DEPRESSION': '21',
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'SUIC RISK': '37',
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'ANXIETY STATE': '54',
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'ANXIETY TRAIT': '40',
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'REGION': 'CABA'
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}
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```
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### Data Fields
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- `EDUCATION`: Maximum level of education attained by the individual, modified:
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'Completed postgraduate': 30,
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'Incomplete tertiary or university': 60,
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'Completed high school': 70,
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'Incomplete postgraduate': 40,
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'Completed tertiary or university': 50,
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'Incomplete high school': 80,
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'Incomplete elementary school': 100,
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'Completed elementary school': 90
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- `PROVINCE`: Name of the province where the individual resides.
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- `AGE`: Age of the individual.
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- `MENTAL DISORDER HISTORY`: If the individual has a history of mental disorder, modified: 'no': 0, 'yes': 50.
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- `SUIC ATTEMPT HISTORY`: If the individual has a history of suicide attempt, modifed: 'ideation': 50, 'no': 0, 'yes': 100.
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- `LIVING WITH SOMEBODY`: If the individual lives alone or not, modified: 'no': 20, 'yes': 0.
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- `ECONOMIC INCOME`: If the individual has an economic income, modified: 'yes': 0, 'no': 50.
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- `DEPRESSION`: Level of depression of the individual.
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- `SUIC RISK`: Level of suicide risk of the individual.
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- `ANXIETY STATE`: Level of anxiety state at the moment of the individual.
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- `ANXIETY TRAIT`: Level of anxiety predisposition of the individual.
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- `REGION`: Name of the region where the individual resides.
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## Dataset Creation
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### Curation Rationale
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This dataset was built for research.
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### Source Data
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#### Initial Data Collection and Normalization
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The data was obtained and created by López Steinmetz, Lorena Cecilia.
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#### Who are the source language producers?
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López Steinmetz, Lorena Cecilia.
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## Considerations for Using the Data
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### Social Impact of Dataset
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The purpose of this dataset is for research, it has data about serious topics related to individuals' mental health.
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It should not be taken as practical advice for real-life situations, except for the possibility that in the future,
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the dataset could be improved and discussions with its authors could facilitate extended usage.
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## Additional Information
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### Dataset Curators
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The dataset was initially created by López Steinmetz and Lorena Cecilia, modified by Farias Federico, Arroyo Guadalupe and Avalos Manuel.
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### Licensing Information
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Except where otherwise noted, this item's license is described as
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Atribución-NoComercial 4.0 Internacional (http://creativecommons.org/licenses/by-nc/4.0/).
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### Citation Information
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```
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{
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dc.contributor.author=López Steinmetz, Lorena Cecilia
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dc.date.accessioned=2021-09-06T18:46:43Z
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dc.date.available=2021-09-06T18:46:43Z
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dc.date.issued=2021-05-03
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dc.identifier.citation=López Steinmetz, L. C. (2021, May 3). 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. Retrieved from osf.io/gkcn7
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dc.identifier.uri=http://hdl.handle.net/11086/20168
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dc.description.abstract=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. eng
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dc.description.abstract=Este estudio forma parte de una investigación más amplia que evalúa los indicadores del estado de salud mental en una muestra de la población general argentina durante la larga cuarentena argentina. Este estudio tiene dos objetivos principales 1) analizar las diferencias en indicadores específicos del estado de salud mental (depresión, ansiedad-estado, ansiedad-rasgo y riesgo suicida), durante tres subperíodos de cuarentena (a partir de la primera extensión de la cuarentena); 2) evaluar las múltiples relaciones entre cada indicador específico del estado de salud mental y los factores que potencialmente lo afectan. es
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dc.language.iso=eng eng
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dc.relation.uri=info:eurepo/semantics/reference/url/https://osf.io/gkcn7/
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dc.rights=Atribución-NoComercial 4.0 Internacional *
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dc.rights.uri=http://creativecommons.org/licenses/by-nc/4.0/ *
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dc.subject=Health state indicators eng
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dc.subject=COVID-19
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dc.subject=SARS-CoV-2
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dc.subject=Quarantine eng
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dc.subject=Depression eng
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dc.subject=State-anxiety eng
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dc.subject=https://purl.org/becyt/ford/5.1
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dc.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 eng
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dc.title=Niveles y predictores de depresión, ansiedad y riesgo de suicidio durante la pandemia de COVID-19 en Argentina: los impactos de las extensiones de la cuarentena en el estado de salud mental spa
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dc.type=dataSet eng
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dc.coverage=ARG
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dc.description.fil=Fil: López Steinmetz, Lorena Cecilia. Universidad Nacional de Córdoba. Facultad de Psicología; Argentina.
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dc.description.fil=Fil: López Steinmetz, Lorena Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Psicológicas; Argentina.
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}
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```
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