Literature DB >> 29876420

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

Petr Brůha1,2, Roman Mouček1,2, Vítězslav Vacek1, Pavel Šnejdar1, Kateřina Černá1, Petr Řehoř1.   

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.

Entities:  

Keywords:  Chronic disease; Cognitive and physical performance; Data acquisition; Data collection; Health related data; Reaction time; Software for data collection

Year:  2018        PMID： 29876420      PMCID： PMC5988307          DOI： 10.1016/j.dib.2018.01.025

Source DB:  PubMed          Journal:  Data Brief        ISSN： 2352-3409


Specifications table

Value of data

The human reaction times and other health related data and metadata were collected from 349 people of all ages. There are projects utilizing reaction time as a physiological measure (e.g. [4], [5], [6]) but to the authors best knowledge, there are no datasets publicly available that contain reaction time data together with other supportive health related data and metadata. The resulting data collection allows other researchers to perform further analysis, e.g. to detect early symptoms of starting chronic diseases [7], [8]. The effects of a healthy lifestyle on cognitive functions are of interest to many people.

Data

The purpose of this article is to provide interested researchers with a well annotated and sufficiently large collection of human reaction times and health related data and metadata that could be suitable for further analysis of lifestyle and human 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. 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.

Experimental design, materials and methods

Participants and environment

Two groups of participants took part in the project. The first group included 293 people (98 males, 136 females, 59 with no record of their gender in the registration form) visiting the regional event ‘Days of Science and Technology 2016’ held on the central square in Pilsen, Czech Republic in September 2016. The participants were measured in a large textile tent (see Fig. 1). The weather was sunny with an average outside temperature of about .
Fig. 1

Days of Science and Technology 2016, Pilsen central square, the tent where the measurements were held.

Days of Science and Technology 2016, Pilsen central square, the tent where the measurements were held. The second group of participants included 56 people from the organization Mensa Czech Republic that brings together people with an IQ greater than 130 (30 males, 23 females, 3 with no record of their gender in the registration form). In this case the experiments were performed in the air-conditioned neuroinformatics laboratory, University of West Bohemia, Czech Republic (see Fig. 2) with an average temperature of .
Fig. 2

Neuroinformatics laboratory, University of West Bohemia, a participant during measurement of hands reaction time.

Neuroinformatics laboratory, University of West Bohemia, a participant during measurement of hands reaction time. Age and gender distributions of all participants are listed in Table 1, Table 2.
Table 1

Age and gender distribution of participants having taken part in the project during the Days of Science and Technology 2016.

Age rangeNumber of menNumber of womenTotal number of participants
0–1012820
11–20274067
21–30211536
31–40121931
41–50122739
51–6031013
61–705712
71–805712
81–90134
91–100000
100+000
Sum98136234
Table 2

Age and gender distribution of all participants having taken part in the project as the members of Mensa Czech Republic.

Age rangeNumber of menNumber of womenTotal number of participants
0–10101
11–205611
21–304610
31–405611
41–509211
51–60538
61–70101
71–80000
81–90000
91–100000
100+000
Sum302353
Age and gender distribution of participants having taken part in the project during the Days of Science and Technology 2016. Age and gender distribution of all participants having taken part in the project as the members of Mensa Czech Republic.

Data collection procedure

Prior to measurements all participants were familiarized with the goal of the project, overall experimental procedure and related legal conditions. Then they were registered into a software application for rapid collection, storage, processing and visualization of heterogeneous health related data (described in [3]), signed the informed consent and filled in a short motivational questionnaire (described in more detail in Section 2.3). Immediately after that they took part in individual measurements organized at nine physical sites (the number of physical measurement sites was limited for the participants from Mensa Czech Republic). Each physical site was equipped with appropriate hardware and software tools related to the type of measurement and served at least by one human expert who also provided the participant with the information about the site measurement. The last physical site, the information desk, served both for the registration of the participants and provision of measurements results. It was served by three people. Although there was a recommended route between individual measurement sites, in fact the participants could circle them in any order (see the schema of measurement sites and the recommended route in Fig. 3). They were also not required to complete all the measurements and could have interrupted the measurement cycle at any time. Only in the best case they visited all the measurement sites and filled in all questions in the questionnaire. The complete data collection procedure took approximately 15 minutes.
Fig. 3

Schema of measurement sites and recommended route between them during the Days of Science and Technology 2016.

Schema of measurement sites and recommended route between them during the Days of Science and Technology 2016. When a single measurement was completed, the obtained data were inserted via a user interface into a software application. When the participant finished his/her last measurement, he/she was provided with the results (measured values) from all the visited measurement sites organized on one A4 page.

Motivational questionnaire

After registering and signing the informed consent each participant proceeded to fill in a motivational questionnaire containing a set of 13 single choice questions to provide a basic overview of participant's current lifestyle and health condition. The following questions were asked: Q1: Do you exercise regularly? Yes No Q2: If not. Would you like to exercise regularly? Yes No Q3: If yes. Do you have friends with whom you could exercise? Yes No Q4: Do you eat regularly? Yes No Q5: Do you drink enough water during the day? (2–3 liters per day) Yes No Q6: Do you eat healthily? eg. poultry, fish, fruits, vegetables, water, etc. Yes No Q7: Do you use any dietary supplements? e.g. vitamins, supplements for joints or bones, etc. Yes No Q8: Do you smoke? No Yes Occasionally Q9: If yes. How many cigarettes do you smoke? Up to 10 cigarettes per day Up to 10 cigarettes per week Up to 20 cigarettes per day Up to 10 cigarettes per month 20 or more cigarettes per day Q10: How often do you drink alcoholic beverages? Every day Once per week Multiple times per week Occasionally I don't drink any alcohol Q11: Do you undergo regular medical examinations? Yes No Q12: Do you have a girlfriend/boyfriend or husband/wife? Yes No Q13: Do you indulge yourself with proper rest and relaxation? e.g. massages, wellness, proper rest (minimum of 6 hours per day), … Yes No

Measurement sites

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. The restriction of measurement sites for the participants from Mensa Czech Republic (information desk, hands reaction time, legs reaction time, and color vision sites were available for them) was primarily caused by the limited time they had during their visit in the laboratory and their interest in other kinds of measurements related to brain functioning.

Hands reaction times

The measurement site was focused on the measurement of participant's hands reaction times to outside visual stimuli. A custom cognitive research device consisting of a wooden desk with four buttons and LED panels placed in a square formation (as is shown in Fig. 4) and related hardware and embedded control software for generation of visual stimuli (lighting up the LED panels) and recording the participant's responses [1] was used. The task of the participant was to press a button near the LED diode panel turned on by right or left hand as quickly as possible. Only one LED panel could have been active at a time. The order of lighting up the LED panels was random and controlled by embedded software. In total the participant completed 16 trials where he/he pressed one of the four buttons placed on the wooden plate according to the LED panel turned on.
Fig. 4

Cognitive research device for measuring hands reaction times. Only one LED panel could be active at a time.

Cognitive research device for measuring hands reaction times. Only one LED panel could be active at a time. The results given to the participant contained the following values (all these values were computed by the embedded control software and manually inputted by the site experimenter to the software application for rapid collection of health related data): Average hands reaction time [ms] – calculated from 16 trials when the participant pressed one of the four buttons placed on the wooden plate according to the LED panel turned on, Number of missed reactions – a missed reaction was considered when no button was pressed within the time limit one of the LED panels was turned on, Number of incorrect reactions – an incorrect reaction was considered when a wrong button was pressed within the time limit one of the LED panels was turned on.

Legs reaction times

The next measurement site was focused on the measurement of the legs reaction time using an impact dance pad (see Fig. 5). This dance pad was divided into nine areas (central area serving as a base point and eight side areas serving as places capturing touches of the participant's leg) and connected to a laptop where these areas were represented by corresponding patterns that had been randomly highlighted. Only one area could have been active at a time. The task of the participant was to stand in the central part of the dance pad, step aside once the corresponding pattern on the laptop was highlighted and return quickly back to the central part of the dancing pad [2]. In total the participant completed 16 trials where he/she stepped aside and return back to the central position.
Fig. 5

Impact dance pad for measuring legs reaction times. Only one area could be active at a time.

Impact dance pad for measuring legs reaction times. Only one area could be active at a time. The results given to the participant contained the following values (all these values were computed by the custom application and manually inputted by the site experimenter to the software application for rapid collection of health related data): Average legs reaction time [ms] – calculated from 16 trials when the participant touched one of eight areas on the impact dance pad by his/her leg, Standard deviation [ms] – calculated from all trials, Best reaction time [ms] – the shortest reaction time achieved on the impact dance pad (limited by 2000ms interval), Worst reaction time [ms] – the longest reaction time achieved on the impact dance pad (limited by 2000ms interval).

Color vision

The third measurement site was focused on the measurement of color vision. The participant was tested using a total of eight pseudochromatic pictures. His/her task was to recognize the number hidden in these pictures. The results given to the participant contained the following values (all these values were inputted manually by the site experimenter to the software application for rapid collection of health related data): List of incorrectly recognized pictures.

Spirometry

The fourth measurement site was focused on the measurement of lung capacity, forced expiratory volume, and expiratory flow of the participant. All measurements were performed using the SP10W spirometer. The results given to the participant contained the following values (all these values were inputted manually by the site experimenter to the software application for rapid collection of health related data): Forced vital capacity (FVC) [l] – the amount of air the participant forcibly expelled from the lungs after taking the deepest breath possible, Forced expiratory volume in the 1st second (FEV1) [l] – the amount of air the participant expelled during a forced breath and measured during the first second, Peak expiratory flow (PEF) [l/s] – the maximum speed of participant's expiration.

Electrocardiography (ECG)

The fifth measurement site was focused on the electrocardiography measurements. It included heart rate (HR) together with measurement of the ST segment and QRS interval. QRS representing ventricle depolarization was measured from the start of the Q wave to the end of the S wave. The ST segment was measured from the end of the S wave, J point, to the start of the T wave. All measurements were performed using the ReadMyHeart Handheld ECG device. The results given to the participant contained the following values (all these values were inputted manually by the site experimenter to the software application for rapid collection of health related data): Heart rate (HR) [puls/min], ST Segment [mm] – the length of the ST segment that represents the interval between ventricular depolarization and repolarization, QRS Interval [s] – duration of the QRS complex that represents ventricle depolarization.

Blood pressure

The sixth measurement site was focused on the measurement of blood pressure in a traditional way as a systolic and diastolic blood pressure. This measurement was completed by the measurement of heart rate, here denoted as puls. All measurements were performed using the Omron M6 Comfort IT device. The results given to the participant contained the following values (all these values were inputted manually by the site experimenter to the software application for rapid collection of health related data): Systolic blood pressure [mmHg], Diastolic blood pressure [mmHg], Puls [puls/min].

Blood glucose

The seventh measurement site was focused on the measurement of glucose concentration in blood. All measurements were performed using the FORA Diamond Mini blood glucose monitoring system. The result given to the participant contained the following value (this value was inputted manually by the site experimenter to the software application for rapid collection of health related data): Glucose [mmol/l] - concentration of glucose in blood.

Body proportions

The eight section was focused on the measurement of body proportions, the participant's height was measured manually, weight, body mass index (BMI), and concentration of muscle-mass, water and fat in participant's body was measured and calculated the Medisana BS 440 Connect device. The results given to the participant contained the following values (these values were inputted manually by the site experimenter to the software application for rapid collection of health related data): Height [cm] – participant's height, Weight [kg] – participant's weight, Body Mass Index (BMI), Muscle-Mass [%] – concentration of muscle-mass in human body, Water [%] – concentration of water in human body, Fat [%] – concentration of fat in human body.

Flexibility

The ninth section was focused on measurement of human body flexibility that was measured using a 13 cm high portable podium. The participant standing at the podium was asked to touch his/her own feet. Not being able to do it, the result was as a negative number, On the other hand, when the participant managed to bend even more, the result was a positive number. The result given to the participant contained the following value (this value was inputted manually by the site experimenter to the software application for rapid collection of health related data): Flexibility [cm] – difference between position of fingers and foot during deep forward bend (limited by +13 cm podium height).

Used hardware

The following table (Table 3) summarizes devices used during the measurements.
Table 3

Hardware devices used at individual measurement sites.

Measurement siteDevice name
Body proportionsMedisana BS 440 Connect
ElectrocardiographyReadMyHeart Handheld ECG
Blood pressureOmron M6 Comfort IT
Blood sugarFORA Diamond Mini
SpirometrySP10W
Hand reaction timeDevice for cognitive research [1]
Leg reaction timeImpact Dance Pad [2]
FlexibilityPodium and ruler
Color visionPseudoisochromatic pictures
Hardware devices used at individual measurement sites.

Data collections

The data collected during the Days of Science and Technology 2016 are available in Table 6 (hands and legs reaction times), Table 7 (color vision and spirometry data), Table 8 (ECG, blood pressure and blood glucose data) and Table 9 (body proportions and flexibility data). The data collected in the neuroinformatics laboratory from the members of Mensa Czech Republic are available in Table 11 (hands and legs reaction times). The questionnaire data collected during the Days of Science and Technology 2016 are available in Table 10. The questionnaire data collected in the neuroinformatics laboratory are available in Table 12.
Table 6

Data collected from visitors during the Days of Science and Technology 2016. ID - id of the participant, Sex - sex of the participant, Age - age of the participant, RT-H [ms] - hands average reaction time, MH - the number of missed buttons during hands reaction time measurement, EH - the number of wrongly pressed buttons during hands reaction time measurement, RT-L [ms] - legs average reaction time, StD-L [ms] - standard deviation between responses during legs reaction time measurement, BT-L [ms] - best (shortest) time achieved during legs reaction time measurement, WT-L [ms] - worst (longest) time achieved during legs reaction time measurement, “—” - blank data (data were not filled in).

IDSexAgeRT-H[ms]MHEHRT-L[ms]StD-L[ms]BT-L[ms]WT-L[ms]
1Male246597—5402064561069
2Female5198610—8791097341085
3—————————
4—————————
5—————————
6—————————
7Female8291910—13183488762000
8—————————
9—————————
10—————————
11Female34———8323185842000
12Male16562016552005131390
13Male167343162464503728
14Male1760871543216620820
15Female14913617971726191414
16—————————
17—————————
18—————————
19—————————
20Male1296333728131489991
21Male12959517831185451085
22Male159995076083561909
23—————————
24Female459544—713104538920
25—————————
26—————————
27—————————
28Female1380771738113527958
29Female12892207402905141538
30Female1292211610197459943
31—————————
32—————————
33Female291016308786315532000
34Female1710491065273537763
35Male17815307181875021065
36Female16668205561895071002
37Female16932137232705421237
38Female177440168986574843
39Male2687331657101543935
40Male168240267357573781
41Female461097309251997351542
42—————————
43Male18666006322244821041
44—————————
45—————————
46—————————
47Male16843208543536091920
48Male165820059347510696
49—————————
50—————————
51—————————
52Male14———11852688182000
53—————————
54—————————
55—————————
56—————————
57—————————
58—————————
59Female27966409603746591954
60—————————
61—————————
62Female7001509814866812000
63—————————
64—————————
65—————————
66Male5510831107971055721023
67—————————
68—————————
69Male17902607203225071926
70Male17961905452244801215
71Female557506162268509767
72Female42831717012795611513
73Female14835905893274401834
74Female131010816852035971044
75Female17885517784255112000
76Female54770017212385211052
77—————————
78Female705981108672378261116
79Male71800120650192569902
80Male12———9151976081194
81—————————
82Male14598527241145691078
83Female145588070580563854
84—————————
85—————————
86Female197479010412347001514
87Female53954816551851874
88Female83111610012482161659845
89Male64988917392156741037
90Male11738608541226271143
91Female4078981660188601887
92—————————
93Male9524307342465061367
94Male9666409241387001203
95Female196142068945586755
96Male62889517812347231154
97Female33———————
98Female55988808553766972000
99Male456592272795590955
100Male241018706873514501980
101Female589508010464785942000
102Male601043718614414662000
103Female14597508582815651762
104Female14813817352665541709
105Female1210591018631256781158
106Female1410356010363856692000
107Female1579830————
108Male17583507153195161556
109Female197271016351505331187
110Female63756539003275691848
111—————————
112Female31774309564106302000
113Male27554207633815191971
114Female415441206952014501369
115Female99341007751436381276
116Female19———————
117Female4766011268693526889
118Female61004121————
119Female461126111————
120Female4348832618180435484
121Male796160————
122Male10893509503735392000
123Male7———————
124Male276227064690504841
125Female44752409473747021780
126Female15571406112554951341
127Male45698408004506152000
128Female13743628473395472000
129Female17823819402527051738
130Female17607405821494471114
131Male234214062463544785
132Female24701607811745911238
133Male38968208301006481023
134Female42752517821866061405
135Female738783213134668842000
136Female38556406932616001380
137Female61185100165620612442000
138Male26817208143687022000
139Female25659208735776652000
140Female40———————
141Male23518425772614431394
142Female205466163183462767
143Male234164050640445605
144Female2754421651100498918
145Male28642616711454641133
146Male69975—011341877381390
147Male18820—06302385821324
148Female20845—08031195971068
149Female25664—18372996031915
150Male25862—062849555712
151Female45957—07451755361095
152Female55883—08541736591318
153Male13749—17582145521507
154Male71888—19762987162000
155Male611013—010171437621283
156—————————
157Male731045—310183868182000
158Male38803—18341326101167
159Male10972—08694915822000
160Female11951—09451587591292
161Female14993—06881505021501
162Female81077—113452779811968
163Male17920409242966452000
164—————————
165Female27765—011065206782000
166Male491099—09183746012000
167Female45911—17782786901515
168Male151166117722476101683
169Female38———————
170Female31961—08141426391149
171Female38968—07391705191199
172Male301012—071895573889
173Female14949—161082467770
174Female10959—29113756832000
175Female71006—0119015110061704
176—————————
177—————————
178Male13809—06363454301610
179Female41780—010551627881348
180Male141002—07351375351038
181Female1290522556164490803
182Female4572100673190598855
183Male40967—1605112478840
184Male8941—19321797621545
185Male50783—09993066992000
186Female439101060447505676
187Female51781—1596167492746
188—————————
189Female521078—07092544851530
190Male24777—159560503729
191Female15809907311105751045
192Female23866—08714345942000
193Male73124760131030510552000
194Male50837—25642404401295
195Male401360——71785504928
196Male81006——11113418132000
197Female72110213112192449301752
198Female40918——488133453618
199Male439431006821655051198
200—————————
201Male27911——536151495717
202Female151098—010193418051743
203Female80———————
204Male84———————
205Female40———7881065451038
206Male9950—110724786222000
207Female731067—012093458272000
208Male23836——6313594552000
209Female36972—07603315552000
210Female26822—19552675921649
211Male32925—18182035541432
212Male52739—06393814721872
213Female471150—111032628802000
214Female31956—069991593985
215Female728872011154459302000
216—————————
217—————————
218Female801006329721188071323
219Male10920—010064285992000
220Male40664007472215351422
221Female2710623111885487482000
222Male4482721728291644930
223Male2799411125231610032000
224Male37877239881218221325
225—————————
226Female49903117772775801171
227Male49979118873536122000
228Female41820007561106091076
229Female89581010225138212000
230Female62873107731146411075
231Female26972307383395442000
232Female63880218901397051163
233Female46724219523906192000
234Male16666006433564532000
235Female13749027193885312000
236Male4976710————
237Male15946208472605841520
238Female71874118472605831520
239Female658712112042859772000
240Female16717108773165672000
241Female1569100722106547891
242Male691194559303987392000
243Female2486520————
244Male2362800————
245Female34657408052596911297
246Male48797708593576161754
247Female6111534012684237652000
248Female60859009202907042000
249Male369190063766540776
250Female25921216693734571942
251Male2491911————
252Male2383840————
253Female501015609982617421948
254Male37808207544324942000
255—————————
256Female41903307152186061067
257Female3196330————
258Male9962219163837021880
259Female39109720619101480859
260Female4810591180978687974
261Female421216408152437241066
262Male3884630————
263Female997660————
264Female1173520691181600795
265Female458051010335615672000
266Male107731169997549882
267Female47865008323455622000
268Female40742607781805511330
269Female18905208263345452000
270—————————
271—————————
272Female43844508032437761115
273Female14954409705266302000
274Female29955209061347011193
275—————————
276Male49876117843535081616
277Female16701107434584742000
278Male48728117373405182000
279Female4210459012583029312000
280Female467812063349549713
281Male3284740581168483769
282Male759783011744097442000
283Female86115811113173099502000
284—————————
285Male35825105831846311407
286Female26709207801075851037
287Male287931073178610853
288Male2269610512146458720
289Female4092651————
290Female3799160————
291Male17———7803696841601
292—4———160523012202000
293—8———11402258261682
Table 7

Data collected from visitors during the Days of Science and Technology 2016 ID - id of the participant, CV1 - CV8 - indexes of pseudoisochromatic pictures (1 - right answer, 0 - wrong answer, FVC[l] - forced vital capacity in liters, FEV1[l] - forced expiratory volume in the 1st second in liters, PEF [l/s] - peak expiratory flow in liters per second, “—” - blank data (data were not filled in).

IDCV1CV2CV3CV4CV5CV6CV7CV8FVC[l]FEV1[l]PEF[l/s]
1111111013.883.058.94
2————————2.532.082.53
3———————————
4———————————
5———————————
6———————————
7111110012.11.844.26
8———————————
9———————————
10———————————
11111111013.683.15.73
12111101114.984.168.46
13111100013.532.855.6
14111111114.43.647.78
15111101013.332.773.42
16———————————
17———————————
18———————————
19———————————
20111101012.072.044.47
21111100112.582.234.19
22111111114.673.988.18
23———————————
24111111013.773.395.92
25———————————
26———————————
27———————————
28111111113.192.724.9
29111101012.622.5115.37
30111100112.031.752.78
31———————————
32———————————
33111111013.63.385.53
34111111013.633.436.43
351111110110.132.529.53
36111101013.242.966.27
37111111113.261.31.34
38111101013.352.853.72
39111101114.333.687.33
40111100115.514.769.33
41111110014.323.455.34
42———————————
43111111114.563.654.52
44———————————
45———————————
46———————————
47111101013.943.385.65
48111101114.94.98.24
49———————————
50———————————
51———————————
52———————————
53———————————
54———————————
55———————————
56———————————
57———————————
58———————————
59111111113.182.814.09
60———————————
61———————————
62111111112.752.314.21
63———————————
64———————————
65———————————
66111111114.033.5910.72
67———————————
68———————————
69111101115.074.377.68
70111111113.633.527.8
71111111113.162.615.81
72111110113.352.666.63
73111101013.523.165.02
74111111113.042.84.81
75111101113.733.58.03
76111111112.82.576.85
77———————————
78111100011.711.453.99
79111111012.582.486.6
80———————————
81———————————
82111111014.493.534.27
83111111113.742.632.92
84———————————
85———————————
86111111114.443.467.5
87111110112.812.266.36
88011111011.741.494.98
89111101013.63.499.69
90111101012.432.133.54
91111111113.333.125.86
92———————————
93111100011.711.271.64
94111101012.091.693.88
95111111112.962.675.97
96111110014.73.918.94
97———————————
98111101112.432.335.34
99111101113.543.316.46
100111111113.343.2911.35
101111111113.633.45.65
102111110013.753.368.24
103111100013.353.145.29
104111111113.072.574.13
105111111012.1923.05
106111101012.751.92.29
107111111112.372.274.39
108111111115.284.087.46
109111111013.52.343.05
110111101013.733.147.24
111———————————
112111111113.722.963.6
113111111113.643.5811.05
114111110113.942.232.66
115111100012.041.682.54
116———————————
117111111112.512.364.7
118111100001.181.183.3
119111110112.752.364.44
120111111113.382.818.03
121111100011.291.223.32
122————————2.192.043.84
123———————————
124111101015.674.268.4
125111111112.532.196.36
126111111112.662.426.43
127111111114.63.639.62
128111111111.951.72.1
129111100002.492.444.68
130111111113.022.97.2
131111101014.854.239.92
132111101013.352.262.99
133111111104.573.297.28
134111111112.392.316.89
135111110111.661.22.83
136111101112.842.556.7
137011111111.310.981.25
138111101015.564.989.06
139111101113.592.863.59
140———————————
141111101115.614.656.96
142111111114.123.384.24
143111111116.335.519.69
144111111113.983.14.79
145111111115.432.64.23
146111100013.823.49.4
147111111114.253.868.46
148111111112.662.616.21
149111111113.112.84.55
150111111114.514.1510
151111111112.992.916.09
152111111113.442.944.85
153111111012.12.086.24
154111100013.42.875.92
155111111014.544.4710.5
156———————————
157111101112.261.186.4
158111111013.343.219.06
159111101012.091.72.54
160111100011.861.652.1
161111100012.382.022.8
162111100011.71.673.2
163011111114.013.535.34
164———————————
165011110012.752.516.36
166111101013.553.529.33
167111101112.652.384.08
168111101012.942.845.25
16911110101———
170111101112.722.275.53
171111111012.432.385.75
172111110115.683.8410.33
173111100113.293.165.73
174111100002.92.463.1
175111111011.61.552.85
176———————————
177———————————
178111111012.942.553.83
179111111112.992.363.09
180111110014.463.74.72
181111111012.722.424.36
182111111113.392.817
183111111114.453.8710.77
184111101012.811.73
185111111014.884.37.64
186111111113.5735.29
187111111112.922.415.16
188———————————
189111111113.152.635.83
190111101113.913.47.12
191111111113.112.895.41
192111111113.123.15.94
193111101012.442.314.65
194111111014.673.949.69
195111111015.014.188.94
196111101011.891.793.32
197111111112.552.274.72
198111111113.863.18.81
199111110113.842.997.97
200———————————
201111111115.084.4111.45
202011100012.912.633.52
203———————————
204———————————
205111111013.192.563.18
206111111011.931.753.45
207111110112.441.974.17
208011111116.214.467.54
209011111113.262.855.92
210111101013.42.74.67
211111111115.054.086.3
212111100004.663.8612.6
213011110112.041.994.32
214111111113.443.047.16
215111100111.931.642.99
216———————————
217———————————
2181111111121.764.5
219111101011.731.453.06
220111100015.614.429.06
221111111112.552.515.94
222111101015.233.9611.78
223111111014.54.478.24
224011100015.094.46.6
225———————————
226111101012.842.425.16
227111111114.092.946.43
228111101114.713.797.2
229111101012.051.743.67
230111101112.562.185.41
231111111113.153.065.6
232111100012.462.184.48
233111111113.632.945.65
234111111015.273.837.12
235111111112.922.444.75
236111111112.962.876.67
237111101015.814.717.12
238111111112.372.142.79
239011100012.772.66.49
240111101112.241.462.57
241111111113.092.372.79
242111100112.992.435.34
243111100013.8235.36
244111111115.415.0710
245011101113.093.059.13
246111100014.33.8710.16
247111101113.182.556.27
248111111112.822.284.23
249011101113.723.249.06
250111111114.183.047.68
251111111015.75.3310.86
252111100014.853.49.26
25311111111———
254111111114.513.316.63
255———————————
256111100112.852.715.97
257111111112.912.495.86
258111100012.321.862.47
259111110113.342.86.06
260111101012.682.637.28
261011101113.182.879.33
262111111113.543.078.46
263111100011.991.491.95
264111111113.112.485.74
265111111113.621.992.07
266111110013.113.575.75
267111101013.573.115.65
268011111113.312.96.3
269111111112.62.313.53
270———————————
271———————————
272111101113.52.967.83
273111111012.442.374.32
274111111113.43.075.94
275———————————
276111111014.083.686.92
277111110013.022.895.45
278111110115.124.2111.67
279————————3.052.524.86
280111111113.22.495.78
281111110005.154.028.4
282111101013.42.584.63
283111111012.041.715.25
284———————————
285111111014.273.37.97
286111111113.143.027.42
287111111115.174.798.57
288111111114.613.929.13
289111110112.892.65.83
290————————3.332.754.34
291111100012.872.845.6
29211110111———
29311110101———
Table 8

Data collected from visitors during the Days of Science and Technology 2016 ID - id of the participant, Pressure[mm/Hg] - blood pressure of the participant as systolic, diastolic blood pressure), Puls[puls/min] - heart rate calculated by Omron M6 Comfort IT, HR[puls/min] - heart rate calculated by ReadMyHeart Handheld ECG, ST-S[mm] - ST segment, QRS-I[s] - QRS interval, Glucose[mmol/l] - concentration of sugar in blood, “—” - blank data (data were not filled in).

IDPressure[mm/Hg]Puls[puls/min]HR[puls/min]ST-S[mm]QRS-I[s]Glucose[mmol/l]
1120, 7069630.350.06—
2105, 8669800.50.15.5
3——————
4——————
5——————
6——————
7137, 8563870.180.086.5
8——————
9——————
10——————
1195, 757877-0.50.056.5
12124, 696069-0.040.126
13122, 6774840.930.086.1
14132, 775966-1.730.055.5
15118, 831061070.510.186
16——————
17——————
18——————
19——————
20110, 747371-0.280.15.3
2198, 7072780.330.124.3
22122, 7272731.610.124.7
23——————
24122, 7470———5.5
25——————
26——————
27——————
28——————
29——————
30——————
31——————
32——————
33130, 7678780.650.056.8
34128, 6360550.040.054.7
35121, 6862662.180.15.5
36119, 799496-1.150.087.6
37105, 7065710.060.075.2
38134, 6810183-1.170.054.6
39125, 868584-3.180.05—
40137, 6975———5.2
41115, 664071-0.650.055.2
42——————
43118, 751111195.390.26
44——————
45——————
46——————
47104, 6188811.990.15—
48116, 9713210600.12—
49——————
50——————
51——————
52122, 72106———5
53——————
54——————
55——————
56——————
57——————
58——————
59112, 766764-0.510.095.3
60——————
61——————
62135, 896765-2.130.086
63——————
64——————
65——————
66155, 7760641.470.15.7
67——————
68——————
69132, 7781873.460.13—
70136, 87961091.670.1—
71142, 8471730.130.15.7
72111, 719190-1.460.056.6
73118, 7085970.180.05—
74102, 7374870.820.08—
7595, 6991830.180.1—
76134, 7865112-0.540.016.2
77——————
78155, 827578-1.570.124.8
79105, 6556570.420.016
80——————
81——————
82122, 76106————
83113, 6380————
84——————
85——————
86146, 8291980.450.15—
87114, 828275-0.220.084.6
88160, 8773751.50.057.3
89140, 826767-2.510.055.7
90112, 8482791.060.1—
91139, 987674-4.280.15.7
92——————
93106, 7986921.750.15
9492, 7892724.020.195.1
95102, 739499-1.140.056
96141, 896866-3.580.096.2
97——————
98121, 947976-2.310.084.8
99123, 767077-0.960.055.8
100140, 909798-0.320.05—
101126, 876866-0.80.055.5
102137, 8764710.940.085
103108, 688997-0.180.05—
104105, 607476-0.430.08—
105——1180.620.08—
10692, 708585-1.90.08—
107110, 698893-1.470.05—
108128, 7181781.080.094.9
109105, 667470-1.50.085.1
110121, 7871701.470.055.8
111——————
112115, 1019992-2.280.057.1
113129, 887972-0.970.056.3
114124, 8273800.420.084.4
11591, 708482-0.070.09—
116——————
117124, 9473760.470.075.3
118101, 8454891.920.09—
119102, 7679830.330.086.7
120101, 688178-0.80.076.4
12198, 8292————
12297, 6493930.610.1—
123——961.950.1—
124171, 987073-0.090.115.3
125110, 918887-0.670.1—
126115, 7574720.240.07—
127129, 8585740.330.15.5
12882, 66103980.990.08—
129107, 8179900.70.09—
130122, 8510498-0.040.46.6
131126, 7365650.990.14.7
13299, 757280-1.120.054.8
133143, 8354600.190.15.3
134113, 8563———5.4
135126, 7859———5.5
13698, 6577640.970.086.1
137——970.70.07—
138120, 8462581.630.115.2
13998, 7378820.590.095.8
140——————
141140, 8580800.270.16
142112, 7474680.040.085.5
143138, 7671711.810.16.6
144102, 707067-0.380.985.5
145125, 767972-1.570.14.7
146163, 1057069-0.20.1045.2
147113, 7869610.480.1125.3
148112, 8468217-0.370.0844.5
149110, 8697172-1.020.15.3
150151, 7758532.360.124.6
151107, 70631120.170.1044.7
152122, 7771970.310.1324.8
15396, 6261700.610.108—
154160, 846559-0.10.1165.1
155129, 85652170.170.1845.6
156——————
157136, 7149500.370.124.7
158126, 8468720.730.1165.7
15989, 6770710.260.116—
160——————
161106, 66739320.116—
162——810.240.104—
163115, 7477770.140.12—
164——————
165119, 767390-0.90.0765.6
166124, 8571780.390.11211.4
167109, 7683791.910.1725.3
168121, 7183850.540.104—
169102, 7981872.80.1725.3
170126, 8390941.220.1126.3
171114, 7487941.220.1224.8
172128, 8176———5.1
173107, 7485810.880.108—
174120, 80971070.550.108—
17592, 7594————
176——————
177——————
178106, 8981961.720.176—
179119, 7777780.750.1085.8
180145, 81891001.070.109—
18197, 6287981.530.164—
182107, 7179821.750.1965.7
183121, 8665640.030.1045.7
184——————
185146, 8675741.90.1767.2
186119, 9289612.070.1725.6
187127, 8370950.170.1124.5
188——————
189142, 838483-0.10.1326.3
190135, 92931111.460.1924.7
191107, 7171810.470.116—
192134, 851021040.850.1125.7
193129, 6755———7.9
194154, 8956———5.2
195116, 8152881.840.1284.8
19697, 62491002.90.168—
197163, 836782-0.470.1086.5
198118, 7073———5.4
199113, 8454760.120.1125.2
200——————
201127, 6766701.640.1125.6
202104, 6499———4.7
203174, 6894———5.1
204131, 7676———4.8
205143, 10078710.780.1895.3
20687, 6977740.620.112—
207128, 8586882.070.1686.5
208107, 77761230.40.188—
209139, 9089810.50.0845.8
210102, 6966801.120.2—
211125, 7861690.370.132—
212127, 8280————
213110, 8381911.570.168.1
214113, 857875-0.110.108—
215124, 7410098-0.590.084—
216——————
217——————
218136, 837676-1.740.088—
21989, 7196850.280.152—
220125, 7975961.370.1846.1
221119, 79771020.920.172—
222129, 7790862.490.167.4
223110, 7355900.010.124.7
224105, 6264631.170.1124.9
225——————
226130, 8587830.230.0924.8
227110, 7174700.850.1766.1
228119, 7879———5.6
22982, 6498———6.6
230142, 789479-0.20.0847.2
231123, 9692960.930.1484.8
232109, 628687-0.120.0847
23380, 6186860.450.1085.6
234110, 6769780.970.116—
23574, 6086920.460.104—
236148, 918381——9.6
237131, 7682870.780.104—
238130, 767072-0.40.0848.3
239157, 698898-1.640.1047
240116, 1001151100.360.108—
241108, 891051041.460.108—
242141, 8266950.90.1768.7
243129, 8185860.630.1085.2
244158, 8082852.630.1566.5
245108, 668397-0.010.1165.3
246136, 7881820.190.1086.1
247111, 736066-0.430.1047.8
248114, 7694103-0.50.0848.2
249113, 7752522.110.1848.2
250124, 7885751.470.1526.4
251122, 6783———6.8
252126, 7280813.060.1646
253102, 74931351.790.1965.6
254117, 8095931.120.1046
255——————
256134, 798072-0.840.167.8
257100, 81127122-0.080.1125
258——932.330.176—
259106, 7597920.690.1848.1
260147, 877876-0.950.0885.1
261102, 731091021.060.1085.5
262143, 8882783.030.112—
263113, 6190920.930.112—
26498, 6587941.50.1—
265129, 918581-0.570.0845.2
266127, 7269————
267110, 7379730.510.152—
268126, 906872-0.390.1125.1
269104, 891071191.090.1925.2
270——————
271——————
272142, 9597720.370.1126.2
27393, 6268740.760.108—
274121, 8875700.640.1045.3
275——————
276180, 9793730.360.10813.7
277108, 6888780.610.1246.3
278152, 89971000.720.1084.8
279109, 7882760.020.0885.6
280132, 89105970.730.165.8
281122, 7157561.890.1245.4
282148, 8959590.960.1886.1
283129, 708370-1.270.0846.1
284——————
285109, 8081710.850.1046.1
286130, 86114840.310.0964.6
287130, 8382790.40.125.3
288114, 6663700.870.1125.6
289107, 7781770.510.1245.6
29090, 556360-0.780.0886.1
291118, 718079———
292——————
293——————
Table 9

Data collected from visitors during the Days of Science and Technology 2016 ID - index of the participant, Height[cm] - height of the participant, Weight[kg] - weight of the participant, BMI - body mass index, Muscle-mass[%] - percentage of muscles in the body, Water[%] - percentage of water in the body, Fat[%] - percentage of fat in the body, Flexibility[cm] - how much the participant was able to bend (negative - could not even touch their feet, positive - bent even further), “—” - blank data (data were not filled in).

IDHeight[cm]Weight[kg]BMIMuscle-Mass[%]Water[%]Fat[%]Flexibility[cm]
117063.52247.763.413.53
2———————
3———————
4———————
5———————
6———————
715666.227.22551.836.31
8———————
9———————
10———————
1116765.423.533.755.722.213
1218572.221.153.667.17.17
1317969.921.853.466.48.113
1417267.122.752.365.49.513
1517068.823.836.851.124.713
16———————
17———————
18———————
19———————
2014330.61557.970.755
211624416.857.671.75-7
2217886.827.446.456.820.24
23———————
2417368.222.829.654.326.213
25———————
26———————
27———————
2815555.623.137.551.723.7-7
2916345.3174258.714.313
3015648.319.840.155.618.313
31———————
32———————
3316571.726.331.249.130.2-3
3417765.620.93854.520.710
3519384.622.75062.413.513
3617465.921.837.753.621.713
3716054.521.3385421.213
3816858.220.638.154.820.413
3917271.424.145.361.216.911
4018072.522.450.562.513.112
4117557.418.732.259.12013
42———————
4318277.32250.163.212.70
44———————
45———————
46———————
4716862.522.150.862.912.611
4814473.819.652.665.69.110
49———————
50———————
51———————
52———————
53———————
54———————
55———————
56———————
57———————
58———————
5916663.623.13452.824.813
60———————
61———————
621688931.5254641.62
63———————
64———————
65———————
6618610430.13056.728.2-17
67———————
68———————
6918577.922.849.962.313.67
7018478.723.249.361.514.6-10
71168.598.634.5254344.60
7217274.925.328.651.229.810
73175.556.818.340.657.416.413
7417664.620.93954.320.36
7516459.22237.453.5226
7616355.320.828.757.124.113
77———————
7816161.623.82554.830.1-1
7916577.428.425.559.927.3-14
80———————
81———————
8218489.326.447.957.619.1-9
8317163.121.638.453.721.212
84———————
85———————
8617868.921.736.9532215
8716566.124.326.653.229.1-3
8816295.736.5254350.4-15
8918780.523.831.864.719.86
9015353.622.951.761.313.76
9116196.937.4254347.513
92———————
9314837.417.156.968.15-4
9415241.61856.367.26-12
9517055.519.238.656.518.513
96183983629.427.457.928.2-18
97———————
98——————-2
9917075.1263760.721.29
10017557.318.752.770.3513
10117662.920.328.158.123.6-19
10218282.224.832.563.220.93
10317658.71940.256.717.30
10415651.12138.854.420.311
10514734.115.842.86012.5-3
10615043.319.24056.317.713
1071685920.938.554.420.54
10818680.523.351.864.710.413
10916256.821.637.15421.813
1101676824.42553.830.213
111———————
11216252.4203556.420.8-5
1131868925.743.759.519.2-11
11417663.620.532.256.622.4-5
11514132.816.542.859.113.413
116———————
117166662428.35328.213
11811723.31742.658.713.8-15
11916795.134.1254343.18
12016960.221.131.356.123.413
12112626.816.957.168.450
12215238.816.857.168.45—
12312223.615.957.769.35—
124185106.23139.553.426.90
12515673.130254636.911
1261545422.837.352.423.113
12718093.728.934.757.325.52
12814637.917.841.257.815.68
12916980.728.332.946.231.88
13016585.231.330.9433611
13117775.924.246.56116.56
13216750.21838.158.217.20
13317281.127.438.458.522.5-6
13417269.723.629.753.127.30
135——————0
13616060.723.730.752.7273
13711520.215.339.661.6136
13819395.425.644.359.618.80
13917161.721.135.955.121.57
140———————
14119195.726.244.958.819.310
14218067.420.839.457.916.711
1431908824.448.663.812.713
14416763.922.934.253.224.312
14518681.423.545.362.315.8-9
146180117.236.22550.738.73
14718568.920.151.565.110.1-5
14816552.419.238.556.818.38
14916355.520.935.955.921.512
15018084.42644.359.119.30
15117878.924.928.25229.22
15217468.622.72754.927.312
15316042.216.55668.75-4
15417280.527.226.561.325.64
15518684.923.832.964.519.55
156———————
15716075.829.62558.629.31
15817590.929.736.655.826-14
15914233.716.756.968.255
16014035.718.241.357.116.1-1
16116656.520.53954.719.96
16213728.815.343.560.211.8-12
16318567.419.752.265.69.3-23
164———————
16516479.929.729.445.334.88
1661821063230.75430.5-21
16716878.127.726.248.733.610
16817066.52350.461.813.9-4
169——————4
17016390.133.925.54341.3-4
17116455.720.732.856.222.39
17217776.924.543.661.117.7-12
17316568.725.235.849.427-5
17414540.819.440.855.917.613
17514025.112.845.363.27.8-13
176———————
177———————
17815541.717.455.567.95.6-19
17916988.931.12544.638.10
18019077.121.452.163.711.313
18115341.517.74158158
18216159.422.929.554.126.5-2
18317269.223.440.863.117.1-10
18412526.817.256.968.150
185177104.933.529.152.432.812
18617670.422.7305426.312
18716352.619.830.258.222.2-4
188———————
189170106.236.7254347.712
19018184.425.844.759.119.1-10
19116254.220.738.754.82013
19216576.928.231.546.83213
19317277.126.126.762.724.1-12
19419798.625.435.661.6213
19516779.728.636.757.324.54
196134271558.570.457
19716782.929.72548.234.212
19817364.921.733.458.319.913
19917871.722.640.464.41610
200———————
20118284.925.643.959.818.80
20216765.223.436.851.624.35
203———————
204———————
20516454.920.432.656.82213
206139291558.570.556
20716895.833.92543.545.510
20819688.52347.462.314.78
20917163.321.632.755.123.513
21016851.318.237.558.217.64
21117875.123.743.662.416.513
21217976.723.93663.5198
21316572.626.726.550.132.19
21416896.734.325.34341.911
21516385.832.32545.34313
216———————
217———————
21815961.824.42554.931.913
21913027.416.257.669.158
22018084.626.138.66021.10
22117056.819.736.456.819.60
222184119.935.429.849.735-23
22318267.520.447.965.411.60
2241757223.541.962.916.813
225———————
22616463.823.727.853.328.48
22718796.727.734.158.924.30
22817561.32032.557.121.80
22914538.618.441.55716.20
2301567229.62547.538.44
23117668.1223553.923.20
23215863.925.62552.232.412
23317352.117.433.160.518.2-1
23418563.218.553.667.17.3-17
23516450.818.940.456.617.213
23617899.931.53154.529.913
23717868.321.651.363.411.80
23816566.624.52554.131.3-12
23915870.128.12549.63613
24016359.922.537.252.72310
24116190.434.928.94341.32
24217889.528.224.46026.8-24
24317063.52235.553.822.913
24417585.227.843.656.921.62
24516862.922.332.854.224.213
24617880.425.436.461.620.613
24716073.128.62548.536.88
24816767.724.32553.430.29
24917586.928.438.357.1240
25016660.72235.353.922.913
2511939826.344.458.719.63
25217584.427.643.75721.6-3
25316250.419.230.858.721.2-14
2541788526.839.259.121.70
255———————
256163139.152.4254360-5
25715685.435.4254343.1-4
25814027.714.159.371.55-10
25916062.924.640.161.618.96
26016789.3322544.140.110
26116984.729.725.646.336.2—
26218897.227.538.458.422.710
26315050.822.638.652.222.5-4
26415254.923.837.65124.24
26516256.921.730.455.624.513
26617263.321.451.463.811.50
26717385.328.52547.93513
26816561.122.43154.425.113
26916960.721.3375421.5-26
270———————
271———————
27216880.928.72647.53413
27317054.318.840.356.817.10
27416460.922.633.853.424.513
275———————
27618093.528.933.257.625.9-2
27716959.420.838.454.720.313
27818691.826.635.460.223.4-10
27917063.7223155.224.5—
28017370.523.6285327.311
28118280.424.343.261.717.4-20
28217577.125.226.663.923-34
28315668.228255137.88
284———————
28518383.8254160.819.1-1
28618355.516.638.559.815.3-5
28718074.122.945.762.9150
28818382.224.546.760.716.7-10
28916249.9193358.319.913
2901626825.929.650.429.9—
291——————-9
292——————0
293——————6
Table 11

Data collected from the members of Mensa Czech Republic in the neuroinformatics laboratory ID - id of the participant, Sex - sex of the participant, Age - age of the participant, RT-H [ms] - hands average reaction time, MH - the number of missed buttons during hands reaction time measurement, EH - the number of wrongly pressed buttons during hands reaction time measurement, RT-L [ms] - legs average reaction time, StD-L [ms] - standard deviation between responses during legs reaction time measurement, BT-L [ms] - best (shortest) time achieved during reaction time measurement, WT-L [ms] - worst (longest) time achieved during legs reaction time measurement, “—” - blank data (data were not filled in).

IDSexAgeRT-H[ms]MHEHRT-L[ms]StD-L[ms]BT-L[ms]WT-L[ms]
1Woman1349300636127505999
2Woman136100062752539735
3Woman12489006953605321327
4Man1746400441177374637
5Woman17423005763924542000
6Man16———————
7Man19———————
8Woman19———————
9Woman13———————
10Man15———————
11Man10———————
12Man16———————
13Woman24———5723714142000
14Woman29———————
15Man30———————
16Man28———————
17Man23———————
18Woman30———————
19Woman24———————
20Woman28———————
21Man30———————
22Woman24557107343745961000
23Woman3847610541108426859
24Man33———5763275151333
25Man36495007012155711024
26Woman326010062680478799
27Woman40586008194805182000
28Man38533006333904092000
29Woman385131061998477823
30Man33———————
31Woman34———————
32Woman35———————
33Man37———————
34Man5748610560122441905
35Man436050063759554779
36Man4653300700———
37Woman48570007502404971186
38Man47621005861614231153
39Man426491010572929801322
40Man4751200560112422917
41Man45560008233475812000
42Man45———————
43Man45———————
44Woman42———————
45Man50———————
46Man52485005712085011115
47Woman53574107261975361339
48Woman57563007723155001788
49Man5351320644127486919
50Woman51———————
51Man53———————
52Man60———————
53Man66———————
54——83710954—8372000
55—————6853475102000
56—————6432214741450
Table 10

Questionnaire data collected from visitors during the Days of Science and Technology 2016 ID - id of the participant, Q1-Q13 - Questions provided in Section 2.3, Q1-Q7 - 1 means “yes”, 0 means “no”, Q8 - 2 means “occasionally”, 1 means “yes”, 0 means “no”, Q9 - 0 means “up to 10 cigarettes per day”, 1 means “up to 10 cigarettes per week”, 2 means “up to 20 cigarettes per day”, 3 means “up to 10 cigarettes per month”, 4 means “20 or more cigarettes per day”, Q10 - 0 means “every day”, 1 means “once per week”, 2 means “multiple times per week”, 3 means “Occasionally”, 4 means “i don't consume any alcohol”, Q11-Q13 - 1 means “yes”, 0 means “no”, “—” - blank data (data were not filled in).

IDQ1Q2Q3Q4Q5Q6Q7Q8Q9Q10Q11Q12Q13
11——10100—4100
21——10100—2110
31——10101—2110
41——10100—4101
51——11000—4101
61——1110103101
701010110—4001
81——1010104100
91——11110—4101
101——1101234010
1101101110—4110
121——11110—3101
131——01100—4101
141——11110—3101
161——11100—4100
151——10100—4101
171——00100—4101
181——11110—4101
1901111010—4101
201——11100—4110
2100—11100—4101
221——11110—3101
2301111000—4101
2401110110—3111
251——11110—4101
261——11110—4101
271——11110—4101
281——10000—4101
291——00000—4101
301——10000—4101
311——10000—4001
321——11100—4100
3301111100—3111
341——11110—4111
351——10110—3100
361——10100—4101
371——1110233101
3801100100—4101
391——11000—3110
401——01010—3101
411——10110—2111
421——10010—4101
431——0110233101
441——10100—4100
451——11100—4100
461——11100—1111
471——11110—3111
481——11110—3101
490111111203111
5200—1110104000
531——11110—4110
541——11100—4100
5501111100—4101
5601111100—4101
5701111110—3101
5801110100—4100
591——1111123100
6001110000—3110
611——10110—3111
6200—11100—4101
631——11110—4101
641——11110—4101
651——11100—4100
6601011100—3110
6701010110—4101
681——11100—4101
691——01000—2001
7001100100—3101
711——01000—3011
7201010010—3111
731——10100—3101
751——11100—4001
741——01000—4100
761——01100—2110
771——11110—4100
781——10100—0111
7900—10100—0111
801——11110—4101
811——11100—4101
821——01110—3111
831——10110—4111
8401111100—4101
851——11100—4101
8600—0111104111
8701111010—4111
881——10010—3101
891——00000—0011
9000—11000—4101
9101110100—3111
9201111110—0101
931——11100—4101
941——11100—4001
9501100100—1101
9601111100—2111
9701111110—3101
9801000010—1110
9901110000—4111
1001——11100—4001
10101000100—3011
10201110000—3010
10301110100—4101
1041——11100—4101
10501110100—4101
10601110100—4101
10700—10110—4101
1081——11110—3111
10900—11100—3010
11001100110—3000
11201110100—1011
1130111100144111
11401110100—4110
1151——11100—4101
1160111110104101
11701000100—4010
11801111110—4101
1190111111103111
12000—10100—3111
1211——10100—4101
1221——10100—4101
1231——10100—4101
12401111100—2001
12501010100—4101
12600—10000—1111
12700—11100—3010
1281——01000—4101
12901111000—4111
1300110011203100
1311——1111233111
1320110001233111
1331——11100—2101
13401010100—3010
1361——10100—1111
1371——10100—4101
13800—11000—2111
13901100100—1111
14001000010—3111
1411——0100211010
1421——10110—3111
13500—1100234110
1431——10110—3111
1441——11100—3000
1451——10000—2001
1461——11110—3111
14701111100—3101
14801001100—3111
1491——1110232001
1501——11100—1101
1511——10000—2111
15201111100—3111
1531——11001—4101
15400—11100—0110
15501111110—4111
1561——10100—4101
15701111100—3111
1581——11000—3011
1591——10100—4101
16000—11100—4101
1611——11100—4101
16200—11100—4101
16300—10100—4101
1641——11010—3101
16501110100—3110
16601110100—1111
1671——00010—3110
1681——11110—4000
16901110100—3111
1701——00000—3010
17100—11110—4111
17200—11100—3111
17200—11100—3111
17301011100—4111
17401111100—4100
1751——11100—4101
1761——01100—3001
1771——1110203001
1781——10000—4100
17901100000—3100
1801——00000—4001
1811——10100—4101
18200—11010—4111
1831——11110—0011
1841——11110—4101
1851——1110201011
18600—11100—3111
18701011100—3011
1881——10110—3111
1891——10000—3111
19001111010—1011
1911——11100—4101
1921——00100—1101
19300—10100—4111
1941——11100—3110
1951——01110—3011
1961——11110—4101
1971——11110—3101
1981——0010103110
1991——00010—4010
2001——01000—2010
2011——11100—2011
20201111110—4101
20300—11110—4111
20400—11100—4111
2051——1010101101
2061——10000—4100
20701001110—1110
2081——11010—4100
20901110000—3111
2101——11110—3111
21100—11100—0011
2121——11110—3010
21301110100—4111
21401110112—3111
2150——1111104001
21601—0110140010
2171——01100—1011
2181——11100—3101
21901111100—4000
2201——0001101000
2211——11110—3101
2220100110232110
22301100000—2000
2241——11100—3101
2251——11100—4101
22601010010—1110
2271——11010—4010
2280111011123101
2291——10000—4101
23000—10100—3111
2311——11110—2110
23201011100—3110
23300—11100—2101
2341——11100—4101
2351——11000—4101
23601111010—3010
2371——10110—4101
23800—11100—3100
2391——11010—3111
2401——10100—4111
2410111100234101
24200—10100—3110
2431——11100—3111
2441——11110—3011
2451——11110—3110
2461——11100—4010
24700—10100—3111
2481——0010104101
2491——11010—3111
2501——10110—3111
2511——11110—3001
25201111100—3010
25301111100—4001
2541——1000121110
2551——11100—4011
25600—11110—3101
25701111100—3101
2581——11110—4101
25901111110—4111
26001000010—3111
2610101111103110
26201111000—3111
26301111100—4101
2641——10110—4101
26501011100—3011
26601110100—4100
26701111100—1111
2681——01100—3111
26900—01000—3101
2701——10100—4101
2711——11110—4101
2721——10100—3011
2731——10100—4101
2741——01000—2111
27501111100—3100
2761——11100—3101
2771——10100—4101
2781——11000—3010
2791——01100—4001
28001010000—3101
2811——1100103101
28200—11100—4111
28300—10100—4101
28401001110—3111
28500—0000102010
28601110110—3011
2871——10101—3011
2880100010103100
2891——11110—2111
29001011000—4111
2911——1111203101
292—————————————
293—————————————
Table 12

Questionnaire data collected from the members of Mensa Czech Republic in the neuroinformatics laboratory ID - id of the participant, Q1-Q13 - Questions provided in Section 2.3, Q1-Q7 - 1 means “yes”, 0 means “no”, Q8 - 2 means “occasionally”, 1 means “yes”, 0 means “no”, Q9 - 0 means “up to 10 cigarettes per day”, 1 means “up to 10 cigarettes per week”, 2 means “up to 20 cigarettes per day”, 3 means “up to 10 cigarettes per month”, 4 means “20 or more cigarettes per day”, Q10 - 0 means “every day”, 1 means “once per week”, 2 means “multiple times per week”, 3 means “Occasionally”, 4 means “i don't consume any alcohol”, Q11-Q13 - 1 means “yes”, 0 means “no”, “—” - blank data (data were not filled in).

IDQ1Q2Q3Q4Q5Q6Q7Q8Q9Q10Q11Q12Q13
11—110100—4101
201—10100—4100
301100000—40—1
401—11100—4100
501000000—3110
601000000—3100
71—111000—3110
801111110—4101
900011110—3110
101—111000—3001
111—110100—4101
1201—10110—4101
1301110100—1111
1401011110—3101
151—100000—2110
1601011010—2000
1701011000—1010
1801111110—4111
190101000233110
2000011100—3011
2101011110—3110
221—111110—1101
2301011110—2101
241—111100—1101
2501111100—2111
261—110110—3110
2701111100—3110
2801111100—3111
2901110100—4111
3001010000—3010
3101011110—1111
3201001010—3011
3301100000—4010
3400010100—3001
3501011100—1111
3601—11110—2011
3711111100—3101
380100010142110
3901011110—3111
401—111100—4011
411—111000—1101
4201110000—4010
431—011110—3111
4401111100—4111
450101111201011
4601101000—3011
471—111100—3101
481—010110—4100
4900011110—1111
5001110110—3101
5101011100—3111
5201110000—3010
5300111100—3001
54—————————————
55—————————————
56—————————————

Preliminary statistical analysis

Description and processing of datasets

Each record in the data collection corresponds to one participant. The first step of the preliminary statistical analysis was to distribute the obtained data into three categories. The first category Basic data contains the following information about each participant: the group the participant belongs to (0 – the member of the Mensa Czech Republic, 1 – the person visiting the Days of Science and Technology 2016), gender (0 male, 1 – female), age. The second category Measured data includes the subcategories that are related to the data obtained from individual measurement sites (in case of pseudochromatic pictures the value 0/1 means that the participant did not recognize/recognized the hidden number): average hands reaction time [ms], number of missed hands reactions, number of incorrect hands reactions, average legs reaction time [ms], standard legs deviation, best legs reaction time [ms], worst legs reaction time [ms], pseudochromatic picture 1 [0/1], pseudochromatic picture 2 [0/1], pseudochromatic picture 3 [0/1], pseudochromatic picture 4 [0/1], pseudochromatic picture 5 [0/1], pseudochromatic picture 6 [0/1], pseudochromatic picture 7 [0/1], pseudochromatic picture 8 [0/1], systolic pressure [mmHg], diastolic pressure [mmHg], puls [puls/min], heart rate (HR) [puls/min], ST segment [mm], QRS interval [s], glucose [mmol/l], forced vital capacity [l], forced expiratory volume in the 1st second [l], peak expiratory flow [l/s], height [cm], weight [kg], BMI, muscle mass [%], water [%], fat [%], flexibility [cm]. The last category Questionnaire data includes the data obtained from the questionnaires completed by the participants. These data are divided into the following subcategories: Sport – the participant 0 - does not do any sport + does not want to do any sport, 1 - does not do any sport and wants to do some sport, 2 - does some sport, but has no friends to do some sport with, 3 - does some sport and has friends to do some sport with. Food – the participant 0 - eats irregularly and unhealthily, 1 - eats irregularly and healthily, 2 - eats regularly, but unhealthily, 3 - eats irregularly and unhealthily. Drinking habits – the participant 0 - drinks enough water, 1 - does not drink enough water. Supplements – the participant 0 - does not use any supplements, 1 - uses supplements. Smoking – the participant 0 - does not smoke, 1 - smokes up to 10 cigarettes per month, 2 - smokes up to 10 cigarettes per week, 3 - smokes up to 10 cigarettes per day, 4 - smokes up to 20 cigarettes per day, 5 - smokes 20 or more cigarettes per day. Alcoholic beverages – the participant 0 - does not drink any alcoholic beverages, 1 - drinks alcoholic beverages occasionally, 2 - drinks alcoholic beverages once a week, 3 - drinks alcoholic beverages several times per week. Medical checks – the participant 0 - undergoes medical checks periodically, 1 - undergoes medical checks irregularly. Partner – the participant 0 - does not have a girlfriend/boyfriend or spouse, 1 - has a girlfriend/boyfriend or spouse. Rest and relaxation – the participant 0/1 - does not/does rest and relax, 0/1 - does not/does rest and relax. The dataset is partly inconsistent because not the whole set of health related data was obtained from each participant. Moreover, the members of Mensa Czech Republic did not participated in all measurements to obtain the whole set of health related data. The motivational questionnaire was also not filled fully in all cases. Since unfilled or inaccurate data can influence the variability of the dataset, the statistical methods that can cope with expected errors were used. The significance level of 0.05 was used for all tests. All statistical methods were performed in MATLAB.

Basic statistical characteristics of dataset

Box plot graphs used to visualize the basic statistical characteristics of the data were created separately for the members of Mensa Czech Republic and for the visitors of the Days of Science and Technology 2016. Fig. 6, Fig. 7 show the box plot graphs depicting the range of participants' age, legs reaction times and BMI.
Fig. 6

Left box plot – Age of participants (from left males from Mensa Czech Republic (10), females from Mensa Czech Republic (11), males visiting the Days of Science and Technology 2016 (21) and females visiting the Days of Science and Technology 2016 (22) ). Right box plot – legs reaction time (in the same order as in the left box plot).

Fig. 7

Box plot – BMI of participants (from left males from Mensa Czech Republic, females from Mensa Czech Republic, males visiting the Days of Science and Technology 2016 and females visiting the Days of Science and Technology 2016).

Left box plot – Age of participants (from left males from Mensa Czech Republic (10), females from Mensa Czech Republic (11), males visiting the Days of Science and Technology 2016 (21) and females visiting the Days of Science and Technology 2016 (22) ). Right box plot – legs reaction time (in the same order as in the left box plot). Box plot – BMI of participants (from left males from Mensa Czech Republic, females from Mensa Czech Republic, males visiting the Days of Science and Technology 2016 and females visiting the Days of Science and Technology 2016).

Dependency relationships of measured and questionnaire data

To find dependencies between the subcategories of measured and questionnaire data linear regression in the form of general matrix was used, where Y is the vector of response variables (measured data) and X is the vector of explanatory variables (questionnaire data), is a random component of the linear model. To construct linear regression models the following methods were used. The first method was based on the gradual selection of questionnaire data subcategories. On the base of significance coefficients and p-values it was decided which questionnaire data subcategory significantly affects the selected subcategory of the measured data. The questionnaire data were regarded as one package in the second method. The multivariate regression analysis for all subcategories of the questionnaire data processed simultaneously was implemented. In the third method the stepwise regression was used. This method is useful in case of large amount of explanatory regressors (the questionnaire data subcategories in our case). Gradual draining of individual explanatory variables, for which cannot be dismissed, simplifies the regression model and identification of statistically significant explanatory regressors. The stepwise regression was chosen as the most suitable method for the dataset. The results of this regression are summarized in Table 4, Table 5 (value 1 corresponds to the fact that the explanatory variable significantly affects the response variable, 0 corresponds to the independence of two variables).
Table 4

Statistical data – part 1.

SportFoodDrinking regimeSupplementsSmoking
Average hands reaction time [ms]10000
Number of missed hands reactions00000
Number of incorrect hands reactions00000
Average legs reaction time [ms]00000
Standard legs deviation00000
Best legs reaction time [ms]00000
Worst legs reaction time [ms]00000
Pseudochromatic picture 100000
Pseudochromatic picture 200000
Pseudochromatic picture 300000
Pseudochromatic picture 400000
Pseudochromatic picture 500000
Pseudochromatic picture 600000
Pseudochromatic picture 700000
Pseudochromatic picture 800000
Systolic pressure [mmHg]00000
Diastolic pressure [mmHg]10000
Puls [puls/min]00000
HR [puls/min]00000
ST segment [mm]00000
QRS interval [s]00000
Glucose [mmol / l]00000
Forced vital capacity [l]00000
Forced expiratory volume in the 1st second [l]00000
Peak expiratory flow [l / s]00000
Height [cm]00000
Weight [kg]01000
BMI01000
Muscle mass [%]00000
Water [%]00000
Fat [%]00000
Flexibility [cm]00000
Table 5

Statistical data – part 2.

Alcohol habitsMedical checksPartnerRest/relax
Average hands reaction time [ms]0000
Number of missed hands reactions1010
Number of incorrect hands reactions0000
Average legs reaction time [ms]0000
Standard legs deviation0000
Best legs reaction time [ms]1000
Worst legs reaction time [ms]0000
Pseudochromatic picture 11000
Pseudochromatic picture 21000
Pseudochromatic picture 31000
Pseudochromatic picture 41000
Pseudochromatic picture 50000
Pseudochromatic picture 61000
Pseudochromatic picture 70000
Pseudochromatic picture 81000
Systolic pressure [mmHg]0000
Diastolic pressure [mmHg]0000
Puls [puls/min]0000
HR [puls/min]0000
ST segment [mm]0000
QRS interval [s]0000
Glucose [mmol / l]0000
Forced vital capacity [l]0000
Forced expiratory volume in the 1st second [l]0000
Peak expiratory flow [l / s]0000
Height [cm]0000
Weight [kg]0100
BMI0100
Muscle mass [%]0000
Water [%]0000
Fat [%]0000
Flexibility [cm]0000
Statistical data – part 1. Statistical data – part 2.

Data tables

Data collected from visitors during the Days of Science and Technology 2016. ID - id of the participant, Sex - sex of the participant, Age - age of the participant, RT-H [ms] - hands average reaction time, MH - the number of missed buttons during hands reaction time measurement, EH - the number of wrongly pressed buttons during hands reaction time measurement, RT-L [ms] - legs average reaction time, StD-L [ms] - standard deviation between responses during legs reaction time measurement, BT-L [ms] - best (shortest) time achieved during legs reaction time measurement, WT-L [ms] - worst (longest) time achieved during legs reaction time measurement, “—” - blank data (data were not filled in). Data collected from visitors during the Days of Science and Technology 2016 ID - id of the participant, CV1 - CV8 - indexes of pseudoisochromatic pictures (1 - right answer, 0 - wrong answer, FVC[l] - forced vital capacity in liters, FEV1[l] - forced expiratory volume in the 1st second in liters, PEF [l/s] - peak expiratory flow in liters per second, “—” - blank data (data were not filled in). Data collected from visitors during the Days of Science and Technology 2016 ID - id of the participant, Pressure[mm/Hg] - blood pressure of the participant as systolic, diastolic blood pressure), Puls[puls/min] - heart rate calculated by Omron M6 Comfort IT, HR[puls/min] - heart rate calculated by ReadMyHeart Handheld ECG, ST-S[mm] - ST segment, QRS-I[s] - QRS interval, Glucose[mmol/l] - concentration of sugar in blood, “—” - blank data (data were not filled in). Data collected from visitors during the Days of Science and Technology 2016 ID - index of the participant, Height[cm] - height of the participant, Weight[kg] - weight of the participant, BMI - body mass index, Muscle-mass[%] - percentage of muscles in the body, Water[%] - percentage of water in the body, Fat[%] - percentage of fat in the body, Flexibility[cm] - how much the participant was able to bend (negative - could not even touch their feet, positive - bent even further), “—” - blank data (data were not filled in). Questionnaire data collected from visitors during the Days of Science and Technology 2016 ID - id of the participant, Q1-Q13 - Questions provided in Section 2.3, Q1-Q7 - 1 means “yes”, 0 means “no”, Q8 - 2 means “occasionally”, 1 means “yes”, 0 means “no”, Q9 - 0 means “up to 10 cigarettes per day”, 1 means “up to 10 cigarettes per week”, 2 means “up to 20 cigarettes per day”, 3 means “up to 10 cigarettes per month”, 4 means “20 or more cigarettes per day”, Q10 - 0 means “every day”, 1 means “once per week”, 2 means “multiple times per week”, 3 means “Occasionally”, 4 means “i don't consume any alcohol”, Q11-Q13 - 1 means “yes”, 0 means “no”, “—” - blank data (data were not filled in). Data collected from the members of Mensa Czech Republic in the neuroinformatics laboratory ID - id of the participant, Sex - sex of the participant, Age - age of the participant, RT-H [ms] - hands average reaction time, MH - the number of missed buttons during hands reaction time measurement, EH - the number of wrongly pressed buttons during hands reaction time measurement, RT-L [ms] - legs average reaction time, StD-L [ms] - standard deviation between responses during legs reaction time measurement, BT-L [ms] - best (shortest) time achieved during reaction time measurement, WT-L [ms] - worst (longest) time achieved during legs reaction time measurement, “—” - blank data (data were not filled in). Questionnaire data collected from the members of Mensa Czech Republic in the neuroinformatics laboratory ID - id of the participant, Q1-Q13 - Questions provided in Section 2.3, Q1-Q7 - 1 means “yes”, 0 means “no”, Q8 - 2 means “occasionally”, 1 means “yes”, 0 means “no”, Q9 - 0 means “up to 10 cigarettes per day”, 1 means “up to 10 cigarettes per week”, 2 means “up to 20 cigarettes per day”, 3 means “up to 10 cigarettes per month”, 4 means “20 or more cigarettes per day”, Q10 - 0 means “every day”, 1 means “once per week”, 2 means “multiple times per week”, 3 means “Occasionally”, 4 means “i don't consume any alcohol”, Q11-Q13 - 1 means “yes”, 0 means “no”, “—” - blank data (data were not filled in).
Subject AreaInformatics, Biology
More specific subject areaHealth informatics, Human health related data, Infrastructure for health related data collection
Type of dataTable, graph
Body proportions (Medisana BS 440 Connect),
Electrocardiography (ReadMyHeart Handheld ECG),
Blood pressure (Omron M6 Comfort IT),
Blood sugar (FORA Diamond Mini),
How data was acquiredSpirometry (Spirometer SP10W),
Hand reaction time (Device for cognitive research),
Legs reaction time (Impact Dance Pad),
Flexibility (Podium and ruler),
Color vision (Pseudoisochromatic pictures)
Data formatRaw, preliminary statistically analyzed
Experimental factorsA custom hardware device was developed for measuring hands reaction times[1]. A custom software tool was developed for measuring legs reaction times[2]. A software infrastructure for rapid collection of health related data was developed[3]. Prior to measurements all participants were familiarized with the goal of the project, overall experimental procedure and related legal conditions.
Experimental featuresTwo groups of participants, 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. The collected medatata set included age, gender and summary of the participant's current life style and health.
Data source locationPilsen, Czech Republic
• Pilsen central square (GPS [49.747285N, 13.377444E]),
• University of West Bohemia (GPS [49.726259N, 13.351782E]).
Data accessibilityThe data are with this article.
Related research articleThe related research article is Exercise and Wellness Health Strategy Framework Software Prototype for Rapid Collection and Storage of Heterogeneous Health Related Data[3].
  5 in total

1.  Interventions to reduce cognitive decline in aging.

Authors:  Kristine N Williams; Susan Kemper
Journal:  J Psychosoc Nurs Ment Health Serv       Date:  2010-05       Impact factor: 1.098

2.  Cortisol, reaction time test and health among offshore shift workers.

Authors:  Anette Harris; Siri Waage; Holger Ursin; Ase Marie Hansen; Bjørn Bjorvatn; Hege R Eriksen
Journal:  Psychoneuroendocrinology       Date:  2010-04-15       Impact factor: 4.905

3.  Software and hardware infrastructure for research in electrophysiology.

Authors:  Roman Mouček; Petr Ježek; Lukáš Vařeka; Tomáš Rondík; Petr Brůha; Václav Papež; Pavel Mautner; Jiří Novotný; Tomáš Prokop; Jan Stěbeták
Journal:  Front Neuroinform       Date:  2014-03-07       Impact factor: 4.081

4.  Predicting cognitive function from clinical measures of physical function and health status in older adults.

Authors:  Niousha Bolandzadeh; Konrad Kording; Nicole Salowitz; Jennifer C Davis; Liang Hsu; Alison Chan; Devika Sharma; Gunnar Blohm; Teresa Liu-Ambrose
Journal:  PLoS One       Date:  2015-03-03       Impact factor: 3.240

Review 5.  Effects of Physical Exercise Combined with Nutritional Supplements on Aging Brain Related Structures and Functions: A Systematic Review.

Authors:  Alexandra Schättin; Kilian Baur; Jan Stutz; Peter Wolf; Eling D de Bruin
Journal:  Front Aging Neurosci       Date:  2016-07-06       Impact factor: 5.750
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.