The influence of fluctuations of atmospheric pressure on the functional state of the humans was studied during spring, autumn and winter seasons. Sensory-motor reaction time and selfreported wellbeing, activity and mood were used for evaluation of functional state. The inter-individual variations of those parameters were compared to meteorological parameters using rank order correlation and general linear model. It was found that atmospheric pressure fluctuations have a stronger negative effect with periods of 120-1200 s and 20-120 s on psychological self-assessment and with periods of 10-20 s and 5-10 s on sensory-motor reaction time than the fluctuations with other periods.
Weather conditions include many different factors: the atmospheric pressure and its oscillations, temperature, humidity and wind velocity. Each of them has an impact on the mood and the functional state [FS] of humans. Functional state of man is an integrative characteristic of an individual’s efficiency of his role and activities involved in its implementation of systems according to the criteria of reliability and internal rates of activity [
Pristrom & Mrochek 2002 stated [
Marchenko et al. 1998 [
Changes of atmospheric pressure mechanically influence circulation by constriction of superficial capillaries, located in the skin and respiratory pathways. Low atmospheric pressure slows down heart rate and increases the respiratory volumes [
The effect of wind is ambiguous. Influences of wind on human health are due to effects of environmental concomitants such as ambient temperature, humidity, atmospheric pressure and positive ion concentrations [
Rapid changes of air pressure, air temperature, hot, sweltering and sultry days, very frosty days, days with strong or foehn wind, days with thunderstorms, fog and haze were selected as unfavorable weather factors. They give an occasion for strong psychical stress [
There are emerging number of studies of effects air pressure fluctuations and their impact on human health and wellbeing. The most powerful source of APF in stormy weather is the chaotic turbulent airflows induced by strong wind [17-24]. The influence of APF may createsubstantial changes in the attention, working memory, cognitive performance and mental flexibility. Therefore, APF are supposed to be able to raise the risk of neurological disorders [
Some authors believe that there is a pathway, through which changes in the pressure are transmitted from the middle ear to the inner ear and influence the activity of the otolithic receptors. This activity consequently affects the firing rates of the vestibular afferent fibers and of the neurons in the vestibular nucleus [
Reaction time (RT) depends on the state of central nervous system [32-36]. RT increases in conditions of reduced attention [
Cold ambient temperature decreases body core temperature and reduce RT [38,39]. Seasonal variation of mood is characterized by onset of depression in winter/autumn [
We expected that increased APF can contribute to seasonal depressive symptoms. The aim of our study was to show effects of APF on functional state and wellbeing self-report. Between subject variability was correlated to the current meteorological parameters of interest. Conventional meteo-data (air temperature, wind velocity and atmospheric pressure) were used as possible confounds. Therefore, we compared effects of temperature, atmospheric pressure, wind velocity and fluctuations of atmospheric pressure on self-estimated wellbeing, activity and mood and on reaction time task. In this paper different seasons were used for the study of effects of various weather conditions on wellbeing, activity and mood and reaction time task in unlike ethnic groups. Because of the literature data, the various effects of meteorological parameters and APF on the functional state of men and women were expected in different seasons. We expected that APF and wind velocity have more negative effects on both RT and psychological self-assessment because of distraction and increase of arousal level.
The study was performed in tow geographical regions: Kyiv (Ukraine) and Shiraz (Iran) and during three distinct seasons: spring (14 March to 13 April), autumn (28 September to 28 October) in Kyiv and winter (9 February to 4 April) in Shiraz. In the spring 48 men and 27 women, in autumn 15 men and 20 women and in winter 25 men were studied. On the whole 135 volunteers in three groups were studied. Ages of participants were 15 - 30 years old. The study design was approved by local ethical committee.
At the beginning of the experiment, all the subjects sign the informed consent and fill the questionnaires about “wellbeing, activity and mood” WAM [
Volunteers who stayed in front of the monitor (distance from the monitor to the eyes was about 50 cm), were given the following instructions: “On presence of every stimulus you should press any key on the keyboard as fast as possible. Not be distracted, do not speak during the test, do not press the key prematurely i.e. before the appearance of the stimulus.” Responses less than 100 ms were considered as errors, and responses that took longer than 500 ms were excluded, too. The experimental task was as long as 5 minutes. First 10 trails and total average of reaction times were used for estimation of individual average reaction rime (RT) values and standard deviations (SD) for further analysis. Standard deviation measures the degree of variability or diversity among variables. Standard deviation is a measure of variability around a mean. Standard deviation is important because it aids in making statistical studies and researches more reliable, accountable and valid.
The average increase of time of RT and SD was interpreted by us as a decrease of functional state. First 10 values where specifically valuable to evaluate ability to gain rapidly simple task related skills. The total RT was the measures of ability of have high and sustained performance.
Monitoring of APF was carried out continuously, round-the-clock, during all the time of research by the electronic micro barometer “Atmospher-P1” (“Dobruyshlyah”, Kyiv, Ukriane), which was disposed outdoors. Atmospheric pressure oscillations were recorded from 650 to 1080 Pa (from 489 to 812 mmHg), with the sensitivity of 1 Pa and acquisition rate of 1 sec. Recorded information was written down in the memory of the device and was passed for storage and processing on a personal computer.
The data of APF were analyzed with a specialized program on the basis of the package of MatLab (The MathWorks Inc.). By the methods of digital spectral filtration (rapid transformation of Fourier) to select pressure fluctuation in 5 ranges of periods: I—from 120 s to 1200 s; II—from 20 s to 120 s; III—from 10 s to 20 s; IV—from 5 s to 10 s; V—from 3 s to 5 s. Also, for each of 5 noted ranges, analysis was done for every hour of frequency constituent (harmonic) with the maximal value of amplitude and the hourly amplitude of fluctuations in this range was calculated. From APF parameters we have taken AD (the detected amplitude of signal in the range).
Standard meteorological data (temperature of air, wind velocity, atmospheric pressure,) in the period of experiment were obtained from the meteorological center of airport of Juliany of Kyiv, Ukraine and the national meteorological center of Shiraz, Iran. Following statistical processing were made with the program of Statistica 8.0 (StatSoft, USA). The relationships between psychological and physiological measures and current meteorological parameters were estimated by Spearman rank order correlation and General Linear Models.