Baselight

Mental Health In Drug Users During COVID-19

Exploring Personality and Risk Profiles

@kaggle.thedevastator_mental_health_in_drug_users_during_covid_19

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About this Dataset

Mental Health In Drug Users During COVID-19


Mental Health in Drug Users During COVID-19

Exploring Personality and Risk Profiles

By [source]


About this dataset

This anonymous online survey dataset explores the mental health outcomes of psychedelic and non-psychedelic drug users during the COVID-19 pandemic. Using psychometric scales to assess personality traits, anxiety, negative and positive affect, well-being and resilience, principal component analysis was applied to ascertain drug use reports from the sample population. Risk profiles including risk taking/avoidance behaviours, risk perception and risk tolerance are analysed to gain a deeper insight into potential correlations with mental health outcomes. Investigating these factors reveals information on how different psychosocial factors may impact on an individual’s wellbeing in times of uncertainty as experienced in this global pandemic

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How to use the dataset

This dataset contains survey responses from psychedelic and non-psychedelic drug users during the COVID-19 pandemic, exploring their mental health outcomes and personality traits. It is intended for researchers to use for studying correlations between drug use and risk profile factors with mental health outcomes in order to better understand the effects of different substances on individuals’ psychological wellbeing during this unprecedented global event.

To help you get started working with this dataset, we have provided a description of the data columns below.
0_1: Age (Numeric)
0_2: Gender (Categorical)
0_3: Education Level (Categorical)
0_4: Employment Status (Categorical)
**0_5: Country of Residence (Categorical)
**0_6: Number of Psychedelic Drug Experiences (Numeric)
**0_7 :Number of Non-psychedelic Drug Experiences(Numeric) [This field is blank if zero]

** 0_8 :Personality Traits(Numeric)[ This field is blank if zero]

** 0_9 :Anxiety( Numeric )[ This field is blank if zero]

** 0 _ 10: Negative Affect( Numeric )[ This field is blank if zero ]

** 0 _ 11 : Positive Affect( Numeric )[ This field is blank if zero ]

** 0 _ 12 : Well - being( Numeric )[ This field is blankifzero ]

$$ 0013$$$${\rm \ \ }$$Resilience$${\rm \ \ }$$\left({\rm numeric}\right){\rm [Thisfieldis~~blankifzero]}$$$$$${15} {16} {17} {18} {19}$$$${\rm RiskTolerance~~~~~RiskAversion~~~~~RiskTaking~~~~~~~~~~~~RiskAvoidance~~~~Mental}{20}{21}{22}{23}{24}{25{26}}{27 {\bf Health ~Outcomes}}} $$\left({\rm numeric}\right)\mathop {{}}\limits^{^{\approx }}{. } {\kern 1pts } {\kern 1pts }\left({{{20}, 21, 22, 23, 24, 26}, 27}\right)\cong ({695

Research Ideas

  • Metaregression analysis exploring the impact of psychedelic and non-psychedelic drug use on mental health outcomes, such as anxiety and negative affect.
  • Create machine learning models that can be deployed to assess the potential risk for developing mental health issues based on personality traits, substance use, risk profiles and demographics.
  • Analyzing trends in psychedelic/non-psychedelic drug usage during the COVID-19 pandemic through a visual dashboard display for policy makers and mental health professionals to better identify at-risk groups of individuals

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: ocean157ksafe.csv

Column name Description
0_1 Age of the respondent. (Numeric)
0_2 Gender of the respondent. (Categorical)
0_3 Country of residence of the respondent. (Categorical)
0_4 Number of times the respondent has used psychedelics. (Numeric)
0_5 Number of times the respondent has used other psychoactive drugs. (Numeric)
0_6 Number of times the respondent has used psychedelics in the past year. (Numeric)
0_7 Number of times the respondent has used other psychoactive drugs in the past year. (Numeric)
0_8 Number of times the respondent has used psychedelics in the past month. (Numeric)
0_9 Number of times the respondent has used other psychoactive drugs in the past month. (Numeric)
0_10 Number of times the respondent has used psychedelics in the past week. (Numeric)
0_11 Number of times the respondent has used other psychoactive drugs in the past week. (Numeric)
0_12 Number of times the respondent has used psychedelics in the past day. (Numeric)
0_13 Number of times the respondent has used other psychoactive drugs in the past day. (Numeric)
0_14 The respondent's level of anxiety. (Numeric)
0_15 The respondent's level of resilience. (Numeric)
0_16 The respondent's level of overall wellbeing. (Numeric)
0_17 The respondent's level of openness to experience. (Numeric)
0_18 The respondent's level of conscientiousness. (Numeric)
0_19 The respondent's level of extraversion. (Numeric)
0_20 The respondent's level of agreeableness. (Numeric)
0_41 Number of times the respondent has used psychedelics in the past year. (Numeric)
0_42 Number of times the respondent has used other psychoactive drugs in the past year. (Numeric)
0_43 Number of times the respondent has used psychedelics in the past month. (Numeric)
0_44 Number of times the respondent has used other psychoactive drugs in the past month. (Numeric)
1_extraversion The respondent's level of extraversion. (Numeric)
1_agreeableness The respondent's level of agreeableness. (Numeric)
1_conscientiousness The respondent's level of conscientiousness. (Numeric)
1_neuroticism The respondent's level of neuroticism. (Numeric)
1_openness The respondent's level of openness to experience. (Numeric)
1_percentil_extraversion The respondent's percentile of extraversion. (Numeric)
1_percentil_agreeableness The respondent's percentile of agreeableness. (Numeric)
1_percentil_conscientiousness The respondent's percentile of conscientiousness. (Numeric)
1_percentil_neuroticism The respondent's percentile of neuroticism. (Numeric)
1_percentil_openness The respondent's percentile of openness to experience. (Numeric)
2_edad Age of the respondent. (Numeric)
2_genero Gender of the respondent. (Categorical)
2_pais_actual Country of residence of the respondent. (Categorical)
3_timestamp Timestamp of the survey response. (Numeric)
hash Unique identifier for the respondent. (String)
0_21 The respondent's level of risk aversion. (Numeric)
0_22 The respondent's level of risk taking. (Numeric)
0_23 The respondent's level of impulsivity

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Concienciaysustancia10k7safe

@kaggle.thedevastator_mental_health_in_drug_users_during_covid_19.concienciaysustancia10k7safe
  • 704.49 KB
  • 10722 rows
  • 136 columns
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CREATE TABLE concienciaysustancia10k7safe (
  "n_0_religiosidad" BIGINT,
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  "n_0_cambio_frecuencia_meditacion" BIGINT,
  "n_0_antencion_previa" BIGINT,
  "n_0_internacion" BIGINT,
  "n_0_tomando_medicacion" BIGINT,
  "n_1_psicodelicos_consumidos" BIGINT,
  "n_2_cuantas_veces_consumio" BIGINT,
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  "n_7_otro" BIGINT,
  "n_7_marihuana_disminuyo_por_factores_externos" VARCHAR,
  "n_7_estimulantes_disminuyo_por_factores_externos" VARCHAR,
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  "n_8_calmado" BIGINT,
  "n_8_seguro" BIGINT,
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  "n_9_cosas_poco_importantes_ocupan_molestan" BIGINT,
  "n_9_desenga_os_afectan" BIGINT,
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  "n_10_interesado" BIGINT,
  "n_10_angustiado" BIGINT,
  "n_10_ilusionado_emocionado" BIGINT,
  "n_10_afectado" BIGINT,
  "n_10_fuerte" BIGINT,
  "n_10_culpable" BIGINT,
  "n_10_asustado" BIGINT,
  "n_10_agresivo" BIGINT,
  "n_10_entusiasmado" BIGINT,
  "n_10_satisfecho_consigo_mismo" BIGINT,
  "n_10_irritable" BIGINT,
  "n_10_despierto" BIGINT,
  "n_10_avergonzado" BIGINT,
  "n_10_inspirado" BIGINT,
  "n_10_nervioso" BIGINT,
  "n_10_decidido" BIGINT,
  "n_10_concentrado" BIGINT,
  "n_10_agitado" BIGINT,
  "n_10_activo" BIGINT,
  "n_10_miedoso" BIGINT
);

Ocean157ksafe

@kaggle.thedevastator_mental_health_in_drug_users_during_covid_19.ocean157ksafe
  • 6.08 MB
  • 157101 rows
  • 60 columns
Loading...

CREATE TABLE ocean157ksafe (
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  "n_1_extraversion" BIGINT,
  "n_1_agreeableness" BIGINT,
  "n_1_conscientiousness" BIGINT,
  "n_1_neuroticism" BIGINT,
  "n_1_openness" BIGINT,
  "n_1_percentil_extraversion" BIGINT,
  "n_1_percentil_agreeableness" BIGINT,
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  "n_1_percentil_neuroticism" BIGINT,
  "n_1_percentil_openness" BIGINT,
  "n_2_edad" BIGINT,
  "n_2_genero" BIGINT,
  "n_2_nacionalidad" BIGINT,
  "n_2_pais_actual" BIGINT,
  "n_3_timestamp" VARCHAR,
  "hash" BIGINT
);

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