Sleep Deprivation and Cognitive Performance Data

This dataset, sleep_deprivation_tbl_df, is a tibble containing data from a 2024 study conducted in the Middle East that investigated the effects of sleep deprivation on cognitive performance and emotional regulation. The dataset includes 60 participants from diverse backgrounds and captures detailed information on sleep duration, sleep quality, daytime sleepiness, cognitive performance metrics (reaction times and memory accuracy), and emotional stability. Additionally, the dataset records demographic and lifestyle factors such as age, gender, BMI, caffeine intake, physical activity level, and stress level.

Usage

data(sleep_deprivation_tbl_df)

Format

A tibble with 60 observations and 14 variables:

Participant_ID

Unique identifier for each participant (character)

Sleep_Hours

Average hours of sleep per night (numeric)

Sleep_Quality_Score

Self-reported sleep quality score (numeric)

Daytime_Sleepiness

Level of daytime sleepiness (numeric)

Stroop_Task_Reaction_Time

Reaction time on the Stroop cognitive task (numeric)

N_Back_Accuracy

Accuracy score on the N-Back working memory task (numeric)

Emotion_Regulation_Score

Score reflecting emotional regulation ability (numeric)

PVT_Reaction_Time

Reaction time on the Psychomotor Vigilance Task (numeric)

Age

Age of the participant in years (numeric)

Gender

Gender of the participant (character)

BMI

Body Mass Index (numeric)

Caffeine_Intake

Daily caffeine intake (numeric)

Physical_Activity_Level

Self-reported physical activity level (numeric)

Stress_Level

Self-reported stress level (numeric)

Source

Data taken from Kaggle: https://www.kaggle.com/datasets/sacramentotechnology/sleep-deprivation-and-cognitive-performance

Details

The dataset name has been kept as sleep_deprivation_tbl_df to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package and assists users in identifying its specific characteristics. The suffix tbl_df indicates that the dataset is a tibble (a modern data frame). The original content has not been modified in any way. Variable names and values are provided exactly as they appear in the source.