Abstract

Smoking, excessive drinking, overeating and physical inactivity are well-established risk factors decreasing human physical performance. Moreover, epidemiological work has identified modifiable lifestyle factors, such as poor diet and physical and cognitive inactivity that are associated with the risk of reduced cognitive performance. Definition, collection and annotation of human reaction times and suitable health related data and metadata provides researchers with a necessary source for further analysis of human physical and cognitive performance. The collection of human reaction times and supporting health related data was obtained from two groups comprising together 349 people of all ages - the visitors of the Days of Science and Technology 2016 held on the Pilsen central square and members of the Mensa Czech Republic visiting the neuroinformatics lab at the University of West Bohemia. Each provided dataset contains a complete or partial set of data obtained from the following measurements: hands and legs reaction times, color vision, spirometry, electrocardiography, blood pressure, blood glucose, body proportions and flexibility. It also provides a sufficient set of metadata (age, gender and summary of the participant's current life style and health) to allow researchers to perform further analysis. This article has two main aims. The first aim is to provide a well annotated collection of human reaction times and health related data that is suitable for further analysis of lifestyle and human cognitive and physical performance. This data collection is complemented with a preliminarily statistical evaluation. The second aim is to present a procedure of efficient acquisition of human reaction times and supporting health related data in non-lab and lab conditions.

Highlights

  • Collection of human reaction times and supporting health related data for analysis of cognitive and physical performance

  • The second aim is to present a procedure of efficient acquisition of human reaction times and supporting health related data in non-lab and lab conditions

  • The number of measurements sites was different for the participants visiting the Days of Science and Technology 2016 and the participants from Mensa Czech Republic visiting the neuroinformatics laboratory at the University of West Bohemia

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Summary

Data accessibility

Human health related data, Infrastructure for health related data collection. 349 people of all ages, provided health related data and metadata during the following measurements: hands and legs reaction times, color vision, spirometry, electrocardiography, blood pressure, blood glucose, body proportions, and flexibility. Each provided dataset contains a complete or partial set of data obtained from the following measurements: hands and legs reaction times, color vision, spirometry, electrocardiography, blood pressure, blood glucose, body proportions and flexibility. It provides a sufficient set of metadata (age, gender and summary of the participant's current life style and health) to allow researchers to perform further analysis

Participants and environment
Data collection procedure
Motivational questionnaire
Measurement sites
Hands reaction times
Legs reaction times
Color vision
Spirometry
Blood pressure
Blood glucose
Body proportions
Flexibility
Data collections
Description and processing of datasets
Rest and relaxation – the participant
Basic statistical characteristics of dataset
Dependency relationships of measured and questionnaire data
Data tables
Full Text
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