The influences of meteorological factors on the health and functional state of human

Abstract

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.

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Sharafi, R. , Bogdanov, V. , Gorlov, D. and Gorgo, Y. (2013) The influences of meteorological factors on the health and functional state of human. Health, 5, 2068-2076. doi: 10.4236/health.2013.512281.

1. INTRODUCTION

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 [1].

Pristrom & Mrochek 2002 stated [2] that in the developed countries, approximately one third of the population has an increasing sensitivity to the change of weather. Negative symptoms such as headache, weakness, pain in joints and palpitation may appear at the same time or just before a sudden change in temperature and atmospheric pressure. Severity of the symptoms depends on the adaptation to such changes, age and diseases. The physiological reactions sometimes can occur without being perceived consciously. Cognitive functions are most sensitive to meteorological changes. Short term memory, attention and reaction time are sensitive to rapid changes in weather factors [3,4]. The effect of the environmental factors increases by their simultaneous action, even if the amplitude of each factor is separately too small for triggering the reaction [3,5].

1.1. Temperature Effects

Marchenko et al. 1998 [6] have shown that temperature conditions influence the processes of thermoregulation and metabolism, change muscular and nervous activity and biochemical and bioelectric processes. Low air temperature affects the strongly cognitive activity [7]. Low temperature reduces cognitive activity, attention and concentration via distraction and increase in arousal [4,8]. The impact of temperature on the organism to a great extent depends on the humidity of air. At heightened humidity, the impact of high and low temperature is increased [6].

1.2. Atmospheric Pressure Effects

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 [9]. The increase of atmospheric pressure decreases the number of leucocytes, mainly neutrophils [9]. The changes of the number of neutrophils and leukocytes are the indexes of changing the general state of the autonomic nervous system. Lowering of atmospheric pressure activates the sympathetic nervous system, causes the increase of reaction time, suppresses mood and reduces ability to work. Oppositely, the increase of atmospheric pressure induces activation of parasympathetic nervous system [9].

1.3. Wind Velocity Effects

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 [10]. In cold weather, wind increases heat irradiation, and also potentates the influence of humidity. Influence of wind velocity on organism will mediate directly on skin, and by heating or cooling, this effect depends on other factors like relative humidity and temperature. A climate with large fluctuations in temperature and high wind velocity is unfavorable for people, predisposition to the increase of arterial pressure. Wind speed, exceeding 10 m/s, negatively affects the wellbeing of patients [6].

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 [11]. The effects of winds blowing from the mountains (foehn wind) on human mental activity, characterized by parameters such as reaction time and duration of active attention, and indirect indications such as the behavior resulting in traffic accidents were considered in a number of studies [12,13]. Lee and Garraway [14] found a significant effect of wind strength on the risk of sport injuries. The heightened anxiety levels in people with mental disorders increase in suicide incidence and the more frequent occurrences of cardiac arrhythmias on days with strong wind are likely, at least partly, to be due to some biological response to wind-generated rapid atmospheric pressure fluctuations (APF) [15-17]. The meanings of the effects of wind are attributed to concurrent rapid APF.

1.4. Atmospheric Pressure Fluctuations Effects

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 [9]. The important feature of APF is that man does not feel their alterations, and therefore, cannot consciously estimate their action on the mental state and wellbeing [17]. The adverse effects of AFP during stormy weather storm on road accidents were reported [24]. This can be explained by the observation that modeled APF in the infrasound frequency range (0.003 Hz < f < 1 Hz ~ 1 sec - 20 min) can affect cognitive functions, especially attention [2,17-22,24,25]. APF penetrate buildings [22,26] and, therefore, could be responsible for weather sensitivity symptoms not only outdoors, but also indoors. It is believed that natural APF could affect the human body through the reactions of tympanic membrane [24]. Some authors suggested that the special area, pars flaccida in the tympanic membrane containing elastin fibers, is actually a middle ear sensor for pressure fluctuations [27,28]. In favor of this view, the mechanical reactions of pars flaccida in response to very little changes in the middle ear pressure, as well as to slight pressure oscillations in far infrasound range, were demonstrated by the experimental studies on animals [27, 29].

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 [30]. It is also shown that vestibular activity is dependent on the rates of ambient pressure changes in the middle ear. It is larger under higher rates of pressure changes [31]. In our experiment we wanted to evaluate effects of APF using simple sensory-motor reaction time task and wellbeing selfassessment.

1.5. Reaction Time Task and Psychological Self-Assessment

Reaction time (RT) depends on the state of central nervous system [32-36]. RT increases in conditions of reduced attention [33]. It was already shown that RT is a sensitive measure of meteorological responses. RT considerably deteriorates at high temperature and lowering of atmospheric pressure [9,25,37].

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 [40]. Seasonal depression and other seasonal affective disorder occurring during autumn and winter months are most common in young women, although it can affect men or women of any age, these seasons’ negatively affect wellbeing, activity and mood. Studies based on violent homicides, suicides, and aggressive behaviors have repeatedly demonstrated seasonal characteristics, typically with peaks in the spring [41-43].

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.

2. MATERIAL AND METHODS

2.1. Participants

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.

2.2. Experimental Design

At the beginning of the experiment, all the subjects sign the informed consent and fill the questionnaires about “wellbeing, activity and mood” WAM [44]. Then we measured the simple reaction time (RT) to visual stimuli by the computer program designed by us on the personal computer (monitor 14", 640/480 Pixels). The stimulus signal was a white square with an area of 1000 pixels on the black background. Linear sizes of the side of the square were 11 mm, angular sizes—1˚20′. General radiance was measured by “Digital Luxmeter MS6610”. The luminosity of the workplace at a distance of 0.5 m from the monitor was established at the level 6 - 15 Lux. 100 signals were exposed with intervals of 1500 - 3000 ms randomly changed.

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.

2.3. Meteorological Data Collection

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.

3. RESULTS

Table 1 shows the means and Standard Errors of groups’ characteristics in 3 season of experiment.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Mesheriakov, B. and Zinchenko, V. (2004) The big psychological dictionary. Olma-Press.
[2] Pristrom, A.M. and Mrochek, A.G. (2002) Meteosensitiveness. Medicine, 2, 37-39.
[3] Kolosova, O.A. and Mindlina, G.E. (1987) Effect of meteoand heliofactors on the state of the autonomic ervous system and the adaptive capacity of man. Zhurnal Nevropatologii I Psikhiatrii Imeni S. S. Korsakova, 87, 136-143.
[4] Makinen, T.M., Palinkas, L.A., Reeves, D.L., et al. (2005) Effect of repeated exposures to cold on cognitive performance in humans. Physiology & Behavior, 87, 166-176.
http://dx.doi.org/10.1016/j.physbeh.2005.09.015
[5] Davous, P., lamour, Y., debrand, E. and Rondot, P. (1987) A comparative evaluation of the short orientation memory concentration test of cognitive impairment. Journal of Neurology, Neurosurgery & Psychiatry, 50, 1312-1317.
http://dx.doi.org/10.1136/jnnp.50.10.1312
[6] Marchenko, T.K. (1998) The effect of heliogeophysical and meterologic factors on the human body. Fiziologiia Cheloveka, 24, 122-127.
[7] Coleshaw, S.R.K., Van Someren, R.N.M., Wolff, A.H., Davis, H.M. and Keatinge, W.R. (1983) Impaired memory registration and speed of reasoning caused by low temperature. Journal of Applied Physiology, 55, 27-31.
[8] Palinkas, L.A. (2001) Mental and cognitive performances in the cold. International Journal of Circumpolar Health, 60, 430-439.
[9] Assman, D. (1996) Sensitiveness of man to the weather. Gidrometizdat, Leningrad, 246 p.
[10] Cooke, L.J., Rose, MS. And Becker, W.J. (2000) Chinook winds and migraine headache. Neurology, 54, 302-307.
http://dx.doi.org/10.1212/WNL.54.2.302
[11] Trepińska, J., Piotrowicz, K., Bakowski, R., Bolechala, F. and Trela, F. (2005) Influence of weather factors on suicidal hangings. Przeglad Lekarski, 62, 788-794.
[12] Rosen, S. (1979) Weathering. How the atmosphere conditions your body, your mind, your moods, and your health. M. Evans and Company, New York.
[13] Sulman, F.G. (1976) Health, weather and climate. In: van der, L.R., Ed., Perspectives in Medicine, Karger, Basel, 166.
[14] Lee, A.J. and Garraway, W.M. (2000) The influence of environmental factors on rugby football injuries. Journal of Sports Sciences, 18, 91-95.
http://dx.doi.org/10.1080/026404100365153
[15] Bedard, J. and Georges, T.M. (2000) Atmospheric infrasound. Physics Today, 53, 32-37.
http://dx.doi.org/10.1063/1.883019
[16] Culic, V., Silic, N. and Miric, D. (2005) Triggering of ventricular ectopic beats by emotional, physical, and meteorologic stress: Role of age, sex, medications, and chronic risk factors. Croatian Medical Journal, 46, 894-906.
[17] Delyukov, A. and Didyk, L. (1999) The effects of extralow-frequency atmospheric pressure oscillations on human mental activity. International Journal of Biometeorology, 43, 31-37.
http://dx.doi.org/10.1007/s004840050113
[18] Broner, N. (1978) The effect of low frequency noise on people. Journal of Sound and Vibration, 58, 483-500.
http://dx.doi.org/10.1016/0022-460X(78)90354-1
[19] Didyk, L.A., Deliukov, A.A., Gorgo, Iu.P. and Semenova, I.A. (2000) Effect of extralow frequency variations of atmospheric pressure on voluntary attention parameters. Fiziologiia Cheloveka, 26, 55-60.
[20] Didyk, L.A., Bogdanov, V.B., Lysenko, V.A., Didyk, N.P., Gorgo, Y.P. and Dirckx, J.J. (2007) The effects of slight pressure oscillations in the far infrasound frequency range on the pars flaccida in gerbil and rabbit ears. International Journal of Biometeorology, 51, 221-231.
[21] Didyk, L.A., Dirckx, J.J., Bogdanov, V.B., Lysenko, V.A. and Gorgo, Y.P. (2007) The mechanical reaction of the pars flaccida of the eardrum to rapid air pressure oscillations modeling different levels of atmospheric disturbances. Hearing Research, 223, 20-28.
http://dx.doi.org/10.1016/j.heares.2006.09.009
[22] Didyk, L.A., Gorgo, Y.P., Dirckx, J.J., Bogdanov, V.B., Buytaert, J.A., Lysenko, V.A. Didyk, N.P., Vershygora, A.V. and Erygina, V.T. (2008) Atmospheric pressure fluctuations in the far infrasound range and emergency transport events coded as circulatory system diseases. International Journal of Biometeorology, 52, 553-561.
http://dx.doi.org/10.1007/s00484-008-0163-6
[23] Gossard, E.E. and Hooke, W.H. (1975) Waves in the Atmosphere: Atmospheric infrasound and gravity waves— Their generation and propagation. Elsevier, New York.
[24] Green, J.E. and Dunn, F. (1968) Correlation of naturally occurring infrasonic and selected human behavior. Journal of the Acoustical Society of America, 44, 1456-1457.
http://dx.doi.org/10.1121/1.1911286
[25] Suchkina, E.G. (1985) Effect of meteorological factors on human psychophysiologic reactions. Fiziologiia Cheloveka, 11, 470-473.
[26] Richner, H. and Graber, W. (1978) The ability of nonclassical meteorological parameters to penetrate into buildings. International Journal of Biometeorology, 22, 242-248. http://dx.doi.org/10.1007/BF01552805
[27] Rockley, T.J. and Hawke, W.M. (1992) The middle ear as a baroreceptor. Acta Oto-Laryngologica, 112, 816-823.
http://dx.doi.org/10.3109/00016489209137479
[28] Stenfors, L.E., Salen, B. and Winblad, B. (1979) The role of the pars flaccida in the mechanics of the middle ear. Acta Oto-Laryngologica, 88, 395-400.
http://dx.doi.org/10.3109/00016487909137184
[29] Marchenko, T.K. (1998) The effect of heliogeophysical and meterologic factors on the human body. Fiziologiia Cheloveka, 24, 122-127.
[30] Naito, Y., Ito, J., Tsuji, J. and Honjo, I. (1988) The influence of middle ear pressure on the otolith system in cats. Archives of Oto-Rhino-Laryngology, 245, 321-324.
http://dx.doi.org/10.1007/BF00464641
[31] Suzuki, M., Kitano, H., Yazawa, Y. and Kitajima, K. (1995) The influence of rates of pressure change on pressure-induced vestibular response in guinea pigs. Journal of Otolaryngology of Japan, 98, 820-824.
http://dx.doi.org/10.3950/jibiinkoka.98.820
[32] Fraster, D.C. and Jackson, K.F. (1955) Effect of heat stress on serial reaction time in man. Nature, 176, 976-977. http://dx.doi.org/10.1038/176976b0
[33] Jordan, N., Sagar, H.J. and Cooper, J.A. (1992) Cognitive components of reaction time in Parkinson’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 55, 658-664. http://dx.doi.org/10.1136/jnnp.55.8.658
[34] Loskutova, T.D. (1975) Evaluation of the fructional state of the human central nervous system according to parameters of simple motor reactions. Fiziologicheski? Zhurnal SSSR Imeni I. M. Sechenova, 61, 3-12.
[35] Plainis, S. and Murray, I.J. (2002) Reaction times as an index of visual conspicuity when driving at night. Ophthalmic and Physiological Optics, 22, 409-415.
http://dx.doi.org/10.1046/j.1475-1313.2002.00076.x
[36] Van der Berg, J. and Neely, G. (2006) Performance on a simple reaction time task while sleep deprived. Perceptual & Motor Skills, 102, 589-599.
http://dx.doi.org/10.2466/pms.102.2.589-599
[37] Razmjou, S. and Kjellberg, A. (1992) Sustained attention and serial responding in heat: Mental effort in the control of performance. Aviation, Space, and Environmental Medicine, 63, 594-601.
[38] Ellis, H.D., Wilcock, S.E. and Zaman, S.A. (1985) Cold and performance: The effects of information load, analgesics, and the rate of cooling. Aviation, Space, and Environmental Medicine, 56, 233-237.
[39] Rammsayer, T.H., Bahner, E. and Netter, P. (1995) Effects of cold on human information processing: Application of a reaction time paradigm. Integrative Physiological and Behavioral Science, 30, 34-45.
[40] Chand, P.K. and Murthy, P. (2008) Climate change and mental health. Regional Health Forum, 12, 43-48.
[41] Postolache, T.T., Mortensen, P.B., Tonelli, L.H., Jiao, X., Frangakis. C., Soriano, J.J. and Qin, P. (2010) Seasonal spring peaks of suicide in victims with and without prior history of hospitalization for mood disorders. Journal of Affective Disorders, 121, 88-93.
http://dx.doi.org/10.1016/j.jad.2009.05.015
[42] Rocchi, M.B., Sisti, D., Miotto, P. and Preti, A. (2007) Seasonality of suicide: Relationship with the reason for suicide. Neuropsychobiology, 56, 86-92.
http://dx.doi.org/10.1159/000111538
[43] Woo, J.M., Okusaga, O. and Postolache, T.T. (2012) Seasonality of suicidal behavior. International Journal of Environmental Research and Public Health, 9, 531-547.
http://dx.doi.org/10.3390/ijerph9020531
[44] Doskin, V.A., Lavrent’eva, N.A., Strongina, O.M. and Sharai, V.B. (1975) “SAN” psychological test applicable to studies in the field of work physiology. Gigiena Truda I Professionalnye Zabolevaniia, 5, 28-32.
[45] Brereton, F., Clinch, J.P. and Ferreira, S. (2008) Happiness, geography and the environment. Ecological Economics, 65, 386-396.
http://dx.doi.org/10.1016/j.ecolecon.2007.07.008
[46] Denissen, J.J., Butalid, L., Penke, L. and Van Aken, M.A. (2008) The effects of weather on daily mood: A multilevel approach. Emotion, 8, 662-667.
http://dx.doi.org/10.1037/a0013497
[47] Pawlaczyk-Luszczyńiska, M., Dudarewicz, A., Waszkowska, M., Szymczak, W. and Sliwińska-Kowalska, M. (2005) The impact of low-frequency noise on human mental performance. International Journal of Occupational Medicine and Environmental Health, 18, 185-198.
[48] Broadbenta, D.E. (1957) Effects of noises of high and low frequency on behavior. Ergonomics, 1, 21-29.
http://dx.doi.org/10.1080/00140135708964568

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