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Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi /
International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483
479 | P a g e
Study of Biorhythms Effect on the Incidence of Lost Time
Accidents and Their Severity: The Case of a Manufacturing
Industry
Iraj Mohammadfam1
, Hanieh Nikoomaram2*
, Farhad Ghaffari3
and
Shahram Mahmoudi4
1
Department of Occupational Health and Safety, Faculty of Health, Hamadan University of Medical Sciences,
Iran
2
Department of HSE, Science and Research Branch, Islamic Azad University, Tehran, Iran (Corresponding
Author)
3
Department of Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
4
Department of MAPNA Group, Tehran, Iran
ABSTRACT
The main objective of the present
research is to study the biorhythms effects on
the occurrence of the accidents resulting in lost
time injuries and on the accidents severity. To
carry out the present research, the reports of the
occupational accidents in an Iranian industry
assembling power plants turbines were studied
and the required data collected. The biorhythms
critical days of personnel caused accidents were
then determined. To study the biorhythms
effects on the occurrence of the accidents
resulting in lost time injuries and on the
accidents severity, Analysis Of Variance and
Independent t-Test were applied respectively.
The results showed the biorhythm, regardless of
its type, is a factor affecting the accidents lost
days and their severity. It was also
demonstrated that physical and intellectual
biorhythms affect the accidents lost days while
emotional biorhythm has no effect on it.
Moreover, only intellectual biorhythm affects
the accidents severity. The present study
concluded that the biorhythms theory, as an
information system, plays a vital role in
accidents prediction and prevention, and thus
helps to reduce the excessive costs imposed on
industries and on the countries’ economy.
Keywords - Accident, Biorhythms, Severity,
Manufacturing Industry, Unsafe behaviors
I. INTRODUCTION
Despite the many precautions and
measures taken to improve safety in today’s
industries, accidents still occur. Researches on
occupational injuries confirm the negative impacts
these events have on their victims, families, co-
workers and the whole society [1,2].
Apart from the humanitarian aspect of
reducing occupational deaths and injuries, a strong
case can be made for reducing work related
accidents on economic grounds alone, as they
consume massive financial resources that the
countries, especially developing countries, can ill
afford to lose [3-7]. Each year, occupational
accidents result in shocking costs. Leigh (2011)
provided estimates of the national costs of
occupational injury and illnesses among civilians in
the United States for 2007
[7]. The total estimated costs were approximately
$250 billion.
Considering the above facts as well as the
increasing trends of occupational deaths and
injuries in the world, it is essential for industries to
focus on the underlying causes of occupational
accidents occurrence so as to develop and maintain
preventive mechanisms.
Basically, there are three main causes for
accidents occurrence: unsafe conditions, unsafe
behaviors, and unknown causes [8]. Every accident
would usually be attributed to one or more of this
causes [9]. So far, several researchers have
confirmed that unsafe behaviors are the trigger
cause of the majority of work related accidents [10,
11]. Therefore, identification and study of the
factors causing personnel to behave unsafely will
definitely help to prevent from and control unsafe
acts in a work environment.
Various studies have thus far claimed that
a person’s biorhythms cycles are considered as one
of the causes of unsafe behaviors and occupational
accidents [12, 13].
The concept of the biorhythm is quite easy
to grasp. From birth to death, every human is
affected by three internal cycles as follows [13].
- The physical cycle lasts 23 days and influences a
wide range of physical factors such as disease
resistance, power, endurance, and the sensation of
physical well-being.
- The emotional cycle is 28 days long and controls
creativity, sensitivity, mental health, mood etc.
- The intellectual cycle, which happens over a 33-
day period, affects such mental aspects as memory,
alertness, receptivity to knowledge, and the
analytical functions of the mind.
Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi /
International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483
480 | P a g e
On the day of birth, each cycle
commences at a neutral baseline or zero point and
begins to go up in a positive phase in which the
energies and abilities are high. The cycle gradually
declines and crosses the zero point midway: 11 and
1/2 days from the starting point for the 23-day
physical cycle, 14 days for the 28-day emotional
cycle, and 16 and 1/2 days for the 33-day
intellectual cycle. The second half of each cycle is
in a negative phase, during which physical,
emotional and intellectual capabilities are low or at
least reduce to some extent. In this phase, however,
energies are recharged. Increasing amounts of
energies are picked up as the negative phase
continues until, at the end of each cycle, the zero
point is re-crossed through the next positive phase,
and the whole process begins again [14].
As mentioned above, the biorhythms
cycles affect humans’ physical, emotional and
intellectual capabilities, thus tending to influence
their behaviors. Therefore, the main objective of
the present research is to study the biorhythms
effects on the occurrence of the accidents resulting
in lost time days and on the injuries severity.
II. METHODS
To carry out the present research, the
reports of the occupational accidents in an Iranian
industry assembling power plants turbines were
studied and the required data such as accidents
date, lost times and personnel information
collected. It is worth mentioning that the accidents
resulting in lost times and had occurred from 2006
to 2011 (during 6 years) were subjected to the
study. Moreover, the trigger cause of these
accidents had been reported to be unsafe behaviors.
In the next step, physical, emotional and
intellectual critical days of personnel caused
accidents and became injured were determined
based on their date of birth and trough using
Biorhythms Calculator Software. The accidents
date and the three above critical days for each
employee were checked to find out if the accident
date matched to any of the days. When the
accidents date at least matched to one of the
employee’s biorhythms critical days, hereinafter
called general biorhythm, the accident was
considered to happen on his critical day.
Statistical tests were used to analyze the
data. To study the biorhythms effects on the
occurrence of the accidents resulting in lost time
days and on the injuries severity, Analysis Of
Variance (ANOVA) and Independent t-Test were
applied respectively. The effects of employees’
demographic information on the accidents severity
were analyzed using Logistic Regression. To do so,
the accidents were divided into two groups based
on their severity: the first group included injuries
with the lost times more than a day (24 hours) and
those resulted in 24 hours or less lost times made
the second group. The concept behind this is that
according to the regulations of Iran’s Ministry of
Labor, the accidents with the lost times more than a
day are required to be recorded and reported while
reporting of the second group are not considered
necessary.
III. RESULTS
The data collected was analyzed using
statistical tests. To find out the effects of
personnel’s biorhythms on the occurrence of the
accidents causing lost time days, Analysis Of
Variance (ANOVA) test was applied. Tables 1 to 2
show the results of the test.
(Table 1)
Considering the corresponding F-statistic
(14.18) and the relevant significant level (p < 0.05),
the H0 hypothesis mentioning that personnel’s
general biorhythm has no effect on the accidents
lost days was rejected. In other words, the results
confirm that the biorhythm, regardless of its type,
is a factor affecting the occurrence of the accidents
resulting in lost time days.
(Table 2)
Regarding the F-statistics and significant
levels of Tables 2, 3 and 4, it is demonstrated that
physical and intellectual biorhythms affect the
accidents lost days (p < 0.05) while emotional
biorhythm has no effect on it (p > 0.05).
The results of Independent t-Test used to study the
effects of biorhythms on the accidents severity are
represented in Tables 3 to 5.
(Table 3)
Considering the t-statistic (-3.15) and the
relevant significant level (p < 0.05), the H0
hypothesis was rejected. This implies that the mean
of lost times for the personnel who were injured on
their critical days is greater than those of the
personnel whose accidents occurred on their non-
critical days.
(Table 4)
(Table 5)
The t-statistics and relevant significant
levels of Tables 6 and 7 demonstrate that physical
biorhythm has no effect on the accidents severity (p
> 0.05) while intellectual biorhythm affects the
severity of the accidents (p < 0.05).
IV. DISCUSSION
The results of the present study confirm
the effect of general biorhythm on the occurrence
of the accidents causing lost times. This finding is
similar to the results of Parikh et al. and Singh and
Sharma claiming that most of the accidents
occurred on critical days12, 13
,
Moreover, it was found that general
biorhythm affects the severity of the accidents. It
is, therefore, inferred that personnel on their critical
Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi /
International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483
481 | P a g e
days are very prone to be involved in more severe
accidents.
Another finding demonstrates that
physical and intellectual biorhythms affect the
accidents lost days while emotional biorhythm has
no effect on it. The research of Singh and Sharma
also proved the effects of physical and intellectual
critical days on the occurrence of the accidents
resulting in lost times13
. Although in the present
study, the effect of emotional biorhythm was
rejected, Singh and Sharma confirmed this effect13
.
Perhaps the reasons of this difference are
associated with the cultural and racial distinctions
as well as religious beliefs of Indians and Iranians.
Also, the results show that intellectual
biorhythm affects the severity of the accidents
while physical biorhythm has no effect on it. The
reason behind this can be related to the nature of
the jobs which require more mental power than
physical power. In other words, since assembling
of turbines is repetitive and needs more
concentration, it is not considered as a heavy
physical work.
The study supports that employees’ age,
educational level, type of job, type of employment
and marital status affect the occurrence probability
of more severe accidents. This means that when an
employee’s age and educational level increase, the
occurrence probability of the accidents resulting in
more than 24 hours lost time decreases. This is
because younger personnel have generally received
less safety training and had fewer opportunities to
acquire the relevant skills. Apparently, low literacy
and less-educated personnel are not as
knowledgeable as well-educated ones. These
results are similar to the findings of Mohammad
Fam et al. and Nouri et al [14, 15].
Moreover, the occurrence probability of
more severe accidents decreases when the type of
job changes from operators to supervisors. The
nature of the tasks, their hazards and the exposure
level to the hazards which significantly varies
among the four mentioned jobs might be the main
reason [14, 16].
The results prove that when the type of
employment changes from permanent staff to
daily-paid personnel, the occurrence probability of
more severe accidents decreases. On the contrary,
the findings of Fabiano et al. confirmed that the
accident frequency index and accidents severity for
temporary workers are significantly more than
those of other employees [17]. Villanueva and
Garcia also claimed that temporary workers have
higher risks of fatal results of occupational
accidents [18]. However, in the mentioned
industry, daily-paid personnel receive safety
training before the commencement of their work
whereas the intervals between pre-employment and
periodic trainings for permanent staff are
considerable, leading to their less attention and
carefulness towards safety issues. The study of
Mohammad Fam et al. confirmed the positive
effect of safety training on the control and
prevention of unsafe behaviors and accidents [19].
Additionally, temporary employees, who are under
more supervision, are usually more worried about
being dismissed for their errors and unsafe acts.
Moreover, since they do not have insurance against
occupational accidents, they cannot claim for it if
injured. As a result of their concerns with the job
security and insurance cover, they might work
rather safely and cautiously.
As a final point, the occurrence
probability of more severe accidents in married
employees is higher than that of single personnel. It
seems that personal life concerns and higher living
costs of married employees in addition to the lack
of social security supports in Iran have involved
these personnel in more severe accidents [20].
V. CONCLUSION
The results obtained confirmed that
biorhythms critical days affect the occurrence of
the accidents resulting in lost time injuries and the
accidents severity. Therefore, the present study
suggests that the biorhythms theory, as an
information system, plays a vital role in accidents
prediction and prevention, and thus helps to reduce
the excessive costs imposed on industries and on
the countries’ economy on a large scale.
VI. ACKNOWLEDGEMENTS
An acknowledgement section may be
presented after the conclusion, if desired.
REFERENCES
[1] A Azadeh, I. Mohammad Fam I, The
evaluation of importance of safety
behaviors in a steel manufacturer by
entropy, J Res Health Sci, 9(2), 2009,10-
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[2] C.F Chi, T.C. Chang, H.I. Ting, Accident
patterns and prevention measures for fatal
occupational falls in the construction
industry, Appl. Ergon, 36(4), 2005, 391-
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[3] S.D. Keller, Quantifying social
consequences of occupational injuries and
illnesses: state of the art and research
agenda, Am. J. Ind. Med, 40(4), 2001,
438-451.
[4] J.P Koegh, I. Nuwayhid, J. Gordon and
P.W. Gucer, The impact of occupational
injury on injured worker and family:
outcomes of upper extremity cumulative
trauma disorders in Maryland workers,
Am. J. Ind. Med, 38(5), 2000, 498-506.
Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi /
International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483
482 | P a g e
[5] T.S Ramessur, Economic cost of
occupational accidents: evidence from a
small island economy. Saf. Sci, 47(7),
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[6] D Weil, Valuing the economic
consequences of work injury and illness: a
comparison of methods and findings. Am.
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[7] J.P Leigh, Economic burden of
occupational injury and illness in the
United States. Milbank Quarterly, 89(4),
2011, 728-772.
[8] F.B Cambraia, T.A. Saurin and C.T.
Formoso, Identification, analysis and
dissemination of information on near
misses: A case study in the construction
industry. Saf. Sci, 48(1), 2010, 91-99.
[9] S Rao, Safety culture and accident
analysis- A socio-management approach
based on organizational safety social
capital. J. Hazard. Mater, 142(3), 2011,
730-740.
[10] A Hopkins, What are we to make of safe
behavior programs? Saf. Sci, 44(7), 2006,
583-597.
[11] Z Jiang-shi, G. Shu-shan, T. Jia and H.
Pan-pan, Study on unsafe behavior Pre-
control method based on accidents
statistic, Procedia Engineering, 26, 2011,
1964-1969.
[12] R.H Parikh, R.D. Askhedkar and M.P.
Singh, Biorhythms for accident
prevention. Int J Multidici Rese Adva Eng,
12(1), 2010, 217-232.
[13] R Singh, R. Sharma, The influence of
"Biorhythm" on the incidence of injuries
among Agra foundry workers, Int. J.
Bioinf. Res. Appl, 3(2), 2011, 236-240.
[14] I Mohammad Fam, A. Kianfar and S.
Mahmoudi, Evaluation of relationship
between job stress and unsafe acts with
occupational accident rates in a vehicle
manufacturing in Iran, Int J Occup Hygie,
2(2), 2010, 85-90.
[15] J Nouri, A. Azadeh and I. Mohammad
Fam, The evaluation of safety behaviors in
a gas treatment company in Iran, J. Loss
Prev. Process Ind, 21(3), 2008, 319-325.
[16] A Kirschenbaum, L. Oigenblick and A.I.
Goldberg, Well being, work environment
and work accidents, Soc Sci Med, 50 (5),
2000, 631-639.
[17] B Fabiano, F. Curro, A.P. Reverberi and
R. Pastorino. A statistical study on
temporary work and occupational
accidents: Specific risk factors and risk
management strategies, Saf. Sci, 46 (3),
2008, 535-544.
[18] V Villanueva, A.M. Garcia, Individual
and occupational factors related to fatal
occupational injuries: A case-control
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127.
[19] I Mohammad FamI, H. Nikoomaram and
A. Soltanian, Comparative analysis of
creative and classic training methods in
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[20] H Badini, Z. Esmati and H. Kooliavand,
Investigating of governing special
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2010, 71-96.
Table 1. Results of the effect of general biorhythm on the accidents lost days
Lost Time accidents
General Bio.
Sum of
Squares
df Mean Square F P-value
Between Groups
Within Groups
Total
12015.058
588247.975
600263.033
1
694
695
12015.058
847.62
14.175 0.000
Table 2. Results of the effect of physical, Intellectual and emotional biorhythm on the accidents lost days
Lost Time accidents
Biorhythm Type
Sum of
Squares
df Mean Square F P-value
(Physical Bio.)
Between Groups
Within Groups
Total
4624.638
595638.395
600263.033
1
694
695
4624.638
858.269
5.388 0.021
Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi /
International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622
www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483
483 | P a g e
(Intellectual Bio.)
Between Groups
Within Groups
Total
7142.055
593120.978
600263.033
1
694
695
7142.055
854.641
8.357 0.004
(Emotional Bio.)
Between Groups
Within Groups
Total
44.852
600218.181
600263.033
1
694
695
44.852
864.868
0.052 0.82
Table 3. Results of the effect of general biorhythm on the accidents severity
Lost Time
accidents
General
Biorhythm
Levene’s Test for
Equality of
Variances
t-test for Equality of Means
F P-value t df
P-value
(2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Equal variances
assumed a
Equal variances
not assumed
46.734 0.000
-3.765
-3.151
694
291.66
0.000
0.002
-8.454
-8.454
2.245
2.683
-12.863
-13.735
-4.045
-3.173
a
The corresponding F-statistic (46.73) shows the homoscedasticity hypothesis was rejected. So the test statistic
was carried out considering the hetroscedasticity.
Table 4. Results of the effect of physical biorhythm on the accidents severity
Lost Time
accidents
Physical
Biorhythm
Levene’s Test for
Equality of
Variances
t-test for Equality of Means
F P-value t df
P-value
(2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Equal variances
assumed a
Equal variances
not assumed
18.245 0.000
-2.321
-1.29
694
94.57
0.021
0.2
-7.646
-7.646
3.294
5.929
-14.114
-19.417
-1.1789
4.124
a
The corresponding F-statistic (18.25) shows the homoscedasticity hypothesis was rejected. So the test statistic
was carried out considering the hetroscedasticity.
Table 5. Results of the effect of intellectual biorhythm on the accidents severity
Lost Time
accidents
Intellectual
Biorhythm
Levene’s Test for
Equality of
Variances
t-test for Equality of Means
F P-value t df
P-value
(2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower Upper
Equal variances
assumed a
Equal variances
not assumed
27.347 0.000 -2.891
-2.115
694
179.55
0.004
0.036
-7.717
-7.717
2.67
3.649
-12.958
-14.918
-2.476
-0.517
a
The corresponding F-statistic (27.35) shows the homoscedasticity hypothesis was rejected. So the test statistic
was carried out considering the hetroscedasticity.

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Cc34479483

  • 1. Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483 479 | P a g e Study of Biorhythms Effect on the Incidence of Lost Time Accidents and Their Severity: The Case of a Manufacturing Industry Iraj Mohammadfam1 , Hanieh Nikoomaram2* , Farhad Ghaffari3 and Shahram Mahmoudi4 1 Department of Occupational Health and Safety, Faculty of Health, Hamadan University of Medical Sciences, Iran 2 Department of HSE, Science and Research Branch, Islamic Azad University, Tehran, Iran (Corresponding Author) 3 Department of Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran 4 Department of MAPNA Group, Tehran, Iran ABSTRACT The main objective of the present research is to study the biorhythms effects on the occurrence of the accidents resulting in lost time injuries and on the accidents severity. To carry out the present research, the reports of the occupational accidents in an Iranian industry assembling power plants turbines were studied and the required data collected. The biorhythms critical days of personnel caused accidents were then determined. To study the biorhythms effects on the occurrence of the accidents resulting in lost time injuries and on the accidents severity, Analysis Of Variance and Independent t-Test were applied respectively. The results showed the biorhythm, regardless of its type, is a factor affecting the accidents lost days and their severity. It was also demonstrated that physical and intellectual biorhythms affect the accidents lost days while emotional biorhythm has no effect on it. Moreover, only intellectual biorhythm affects the accidents severity. The present study concluded that the biorhythms theory, as an information system, plays a vital role in accidents prediction and prevention, and thus helps to reduce the excessive costs imposed on industries and on the countries’ economy. Keywords - Accident, Biorhythms, Severity, Manufacturing Industry, Unsafe behaviors I. INTRODUCTION Despite the many precautions and measures taken to improve safety in today’s industries, accidents still occur. Researches on occupational injuries confirm the negative impacts these events have on their victims, families, co- workers and the whole society [1,2]. Apart from the humanitarian aspect of reducing occupational deaths and injuries, a strong case can be made for reducing work related accidents on economic grounds alone, as they consume massive financial resources that the countries, especially developing countries, can ill afford to lose [3-7]. Each year, occupational accidents result in shocking costs. Leigh (2011) provided estimates of the national costs of occupational injury and illnesses among civilians in the United States for 2007 [7]. The total estimated costs were approximately $250 billion. Considering the above facts as well as the increasing trends of occupational deaths and injuries in the world, it is essential for industries to focus on the underlying causes of occupational accidents occurrence so as to develop and maintain preventive mechanisms. Basically, there are three main causes for accidents occurrence: unsafe conditions, unsafe behaviors, and unknown causes [8]. Every accident would usually be attributed to one or more of this causes [9]. So far, several researchers have confirmed that unsafe behaviors are the trigger cause of the majority of work related accidents [10, 11]. Therefore, identification and study of the factors causing personnel to behave unsafely will definitely help to prevent from and control unsafe acts in a work environment. Various studies have thus far claimed that a person’s biorhythms cycles are considered as one of the causes of unsafe behaviors and occupational accidents [12, 13]. The concept of the biorhythm is quite easy to grasp. From birth to death, every human is affected by three internal cycles as follows [13]. - The physical cycle lasts 23 days and influences a wide range of physical factors such as disease resistance, power, endurance, and the sensation of physical well-being. - The emotional cycle is 28 days long and controls creativity, sensitivity, mental health, mood etc. - The intellectual cycle, which happens over a 33- day period, affects such mental aspects as memory, alertness, receptivity to knowledge, and the analytical functions of the mind.
  • 2. Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483 480 | P a g e On the day of birth, each cycle commences at a neutral baseline or zero point and begins to go up in a positive phase in which the energies and abilities are high. The cycle gradually declines and crosses the zero point midway: 11 and 1/2 days from the starting point for the 23-day physical cycle, 14 days for the 28-day emotional cycle, and 16 and 1/2 days for the 33-day intellectual cycle. The second half of each cycle is in a negative phase, during which physical, emotional and intellectual capabilities are low or at least reduce to some extent. In this phase, however, energies are recharged. Increasing amounts of energies are picked up as the negative phase continues until, at the end of each cycle, the zero point is re-crossed through the next positive phase, and the whole process begins again [14]. As mentioned above, the biorhythms cycles affect humans’ physical, emotional and intellectual capabilities, thus tending to influence their behaviors. Therefore, the main objective of the present research is to study the biorhythms effects on the occurrence of the accidents resulting in lost time days and on the injuries severity. II. METHODS To carry out the present research, the reports of the occupational accidents in an Iranian industry assembling power plants turbines were studied and the required data such as accidents date, lost times and personnel information collected. It is worth mentioning that the accidents resulting in lost times and had occurred from 2006 to 2011 (during 6 years) were subjected to the study. Moreover, the trigger cause of these accidents had been reported to be unsafe behaviors. In the next step, physical, emotional and intellectual critical days of personnel caused accidents and became injured were determined based on their date of birth and trough using Biorhythms Calculator Software. The accidents date and the three above critical days for each employee were checked to find out if the accident date matched to any of the days. When the accidents date at least matched to one of the employee’s biorhythms critical days, hereinafter called general biorhythm, the accident was considered to happen on his critical day. Statistical tests were used to analyze the data. To study the biorhythms effects on the occurrence of the accidents resulting in lost time days and on the injuries severity, Analysis Of Variance (ANOVA) and Independent t-Test were applied respectively. The effects of employees’ demographic information on the accidents severity were analyzed using Logistic Regression. To do so, the accidents were divided into two groups based on their severity: the first group included injuries with the lost times more than a day (24 hours) and those resulted in 24 hours or less lost times made the second group. The concept behind this is that according to the regulations of Iran’s Ministry of Labor, the accidents with the lost times more than a day are required to be recorded and reported while reporting of the second group are not considered necessary. III. RESULTS The data collected was analyzed using statistical tests. To find out the effects of personnel’s biorhythms on the occurrence of the accidents causing lost time days, Analysis Of Variance (ANOVA) test was applied. Tables 1 to 2 show the results of the test. (Table 1) Considering the corresponding F-statistic (14.18) and the relevant significant level (p < 0.05), the H0 hypothesis mentioning that personnel’s general biorhythm has no effect on the accidents lost days was rejected. In other words, the results confirm that the biorhythm, regardless of its type, is a factor affecting the occurrence of the accidents resulting in lost time days. (Table 2) Regarding the F-statistics and significant levels of Tables 2, 3 and 4, it is demonstrated that physical and intellectual biorhythms affect the accidents lost days (p < 0.05) while emotional biorhythm has no effect on it (p > 0.05). The results of Independent t-Test used to study the effects of biorhythms on the accidents severity are represented in Tables 3 to 5. (Table 3) Considering the t-statistic (-3.15) and the relevant significant level (p < 0.05), the H0 hypothesis was rejected. This implies that the mean of lost times for the personnel who were injured on their critical days is greater than those of the personnel whose accidents occurred on their non- critical days. (Table 4) (Table 5) The t-statistics and relevant significant levels of Tables 6 and 7 demonstrate that physical biorhythm has no effect on the accidents severity (p > 0.05) while intellectual biorhythm affects the severity of the accidents (p < 0.05). IV. DISCUSSION The results of the present study confirm the effect of general biorhythm on the occurrence of the accidents causing lost times. This finding is similar to the results of Parikh et al. and Singh and Sharma claiming that most of the accidents occurred on critical days12, 13 , Moreover, it was found that general biorhythm affects the severity of the accidents. It is, therefore, inferred that personnel on their critical
  • 3. Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483 481 | P a g e days are very prone to be involved in more severe accidents. Another finding demonstrates that physical and intellectual biorhythms affect the accidents lost days while emotional biorhythm has no effect on it. The research of Singh and Sharma also proved the effects of physical and intellectual critical days on the occurrence of the accidents resulting in lost times13 . Although in the present study, the effect of emotional biorhythm was rejected, Singh and Sharma confirmed this effect13 . Perhaps the reasons of this difference are associated with the cultural and racial distinctions as well as religious beliefs of Indians and Iranians. Also, the results show that intellectual biorhythm affects the severity of the accidents while physical biorhythm has no effect on it. The reason behind this can be related to the nature of the jobs which require more mental power than physical power. In other words, since assembling of turbines is repetitive and needs more concentration, it is not considered as a heavy physical work. The study supports that employees’ age, educational level, type of job, type of employment and marital status affect the occurrence probability of more severe accidents. This means that when an employee’s age and educational level increase, the occurrence probability of the accidents resulting in more than 24 hours lost time decreases. This is because younger personnel have generally received less safety training and had fewer opportunities to acquire the relevant skills. Apparently, low literacy and less-educated personnel are not as knowledgeable as well-educated ones. These results are similar to the findings of Mohammad Fam et al. and Nouri et al [14, 15]. Moreover, the occurrence probability of more severe accidents decreases when the type of job changes from operators to supervisors. The nature of the tasks, their hazards and the exposure level to the hazards which significantly varies among the four mentioned jobs might be the main reason [14, 16]. The results prove that when the type of employment changes from permanent staff to daily-paid personnel, the occurrence probability of more severe accidents decreases. On the contrary, the findings of Fabiano et al. confirmed that the accident frequency index and accidents severity for temporary workers are significantly more than those of other employees [17]. Villanueva and Garcia also claimed that temporary workers have higher risks of fatal results of occupational accidents [18]. However, in the mentioned industry, daily-paid personnel receive safety training before the commencement of their work whereas the intervals between pre-employment and periodic trainings for permanent staff are considerable, leading to their less attention and carefulness towards safety issues. The study of Mohammad Fam et al. confirmed the positive effect of safety training on the control and prevention of unsafe behaviors and accidents [19]. Additionally, temporary employees, who are under more supervision, are usually more worried about being dismissed for their errors and unsafe acts. Moreover, since they do not have insurance against occupational accidents, they cannot claim for it if injured. As a result of their concerns with the job security and insurance cover, they might work rather safely and cautiously. As a final point, the occurrence probability of more severe accidents in married employees is higher than that of single personnel. It seems that personal life concerns and higher living costs of married employees in addition to the lack of social security supports in Iran have involved these personnel in more severe accidents [20]. V. CONCLUSION The results obtained confirmed that biorhythms critical days affect the occurrence of the accidents resulting in lost time injuries and the accidents severity. Therefore, the present study suggests that the biorhythms theory, as an information system, plays a vital role in accidents prediction and prevention, and thus helps to reduce the excessive costs imposed on industries and on the countries’ economy on a large scale. VI. ACKNOWLEDGEMENTS An acknowledgement section may be presented after the conclusion, if desired. REFERENCES [1] A Azadeh, I. Mohammad Fam I, The evaluation of importance of safety behaviors in a steel manufacturer by entropy, J Res Health Sci, 9(2), 2009,10- 18. [2] C.F Chi, T.C. Chang, H.I. Ting, Accident patterns and prevention measures for fatal occupational falls in the construction industry, Appl. Ergon, 36(4), 2005, 391- 400. [3] S.D. Keller, Quantifying social consequences of occupational injuries and illnesses: state of the art and research agenda, Am. J. Ind. Med, 40(4), 2001, 438-451. [4] J.P Koegh, I. Nuwayhid, J. Gordon and P.W. Gucer, The impact of occupational injury on injured worker and family: outcomes of upper extremity cumulative trauma disorders in Maryland workers, Am. J. Ind. Med, 38(5), 2000, 498-506.
  • 4. Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483 482 | P a g e [5] T.S Ramessur, Economic cost of occupational accidents: evidence from a small island economy. Saf. Sci, 47(7), 2009, 973-979. [6] D Weil, Valuing the economic consequences of work injury and illness: a comparison of methods and findings. Am. J. Ind. Med, 40 (4), 2001, 418-437. [7] J.P Leigh, Economic burden of occupational injury and illness in the United States. Milbank Quarterly, 89(4), 2011, 728-772. [8] F.B Cambraia, T.A. Saurin and C.T. Formoso, Identification, analysis and dissemination of information on near misses: A case study in the construction industry. Saf. Sci, 48(1), 2010, 91-99. [9] S Rao, Safety culture and accident analysis- A socio-management approach based on organizational safety social capital. J. Hazard. Mater, 142(3), 2011, 730-740. [10] A Hopkins, What are we to make of safe behavior programs? Saf. Sci, 44(7), 2006, 583-597. [11] Z Jiang-shi, G. Shu-shan, T. Jia and H. Pan-pan, Study on unsafe behavior Pre- control method based on accidents statistic, Procedia Engineering, 26, 2011, 1964-1969. [12] R.H Parikh, R.D. Askhedkar and M.P. Singh, Biorhythms for accident prevention. Int J Multidici Rese Adva Eng, 12(1), 2010, 217-232. [13] R Singh, R. Sharma, The influence of "Biorhythm" on the incidence of injuries among Agra foundry workers, Int. J. Bioinf. Res. Appl, 3(2), 2011, 236-240. [14] I Mohammad Fam, A. Kianfar and S. Mahmoudi, Evaluation of relationship between job stress and unsafe acts with occupational accident rates in a vehicle manufacturing in Iran, Int J Occup Hygie, 2(2), 2010, 85-90. [15] J Nouri, A. Azadeh and I. Mohammad Fam, The evaluation of safety behaviors in a gas treatment company in Iran, J. Loss Prev. Process Ind, 21(3), 2008, 319-325. [16] A Kirschenbaum, L. Oigenblick and A.I. Goldberg, Well being, work environment and work accidents, Soc Sci Med, 50 (5), 2000, 631-639. [17] B Fabiano, F. Curro, A.P. Reverberi and R. Pastorino. A statistical study on temporary work and occupational accidents: Specific risk factors and risk management strategies, Saf. Sci, 46 (3), 2008, 535-544. [18] V Villanueva, A.M. Garcia, Individual and occupational factors related to fatal occupational injuries: A case-control study, Accid. Anal. Prev, 43(1), 2011,123- 127. [19] I Mohammad FamI, H. Nikoomaram and A. Soltanian, Comparative analysis of creative and classic training methods in health, safety and environment (HSE) participation improvement, J. Loss Prev Process Ind, 25(2), 2011, 250-253. [20] H Badini, Z. Esmati and H. Kooliavand, Investigating of governing special principle of social security’s benefit distribution method in social security insurance system, Sannat-E-Bimeh, 25 (3), 2010, 71-96. Table 1. Results of the effect of general biorhythm on the accidents lost days Lost Time accidents General Bio. Sum of Squares df Mean Square F P-value Between Groups Within Groups Total 12015.058 588247.975 600263.033 1 694 695 12015.058 847.62 14.175 0.000 Table 2. Results of the effect of physical, Intellectual and emotional biorhythm on the accidents lost days Lost Time accidents Biorhythm Type Sum of Squares df Mean Square F P-value (Physical Bio.) Between Groups Within Groups Total 4624.638 595638.395 600263.033 1 694 695 4624.638 858.269 5.388 0.021
  • 5. Iraj Mohammadfam, Hanieh Nikoomaram, Farhad Ghaffari And Shahram Mahmoudi / International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 www.ijera.com Vol. 3, Issue 4, Jul-Aug 2013, pp. 479-483 483 | P a g e (Intellectual Bio.) Between Groups Within Groups Total 7142.055 593120.978 600263.033 1 694 695 7142.055 854.641 8.357 0.004 (Emotional Bio.) Between Groups Within Groups Total 44.852 600218.181 600263.033 1 694 695 44.852 864.868 0.052 0.82 Table 3. Results of the effect of general biorhythm on the accidents severity Lost Time accidents General Biorhythm Levene’s Test for Equality of Variances t-test for Equality of Means F P-value t df P-value (2- tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Equal variances assumed a Equal variances not assumed 46.734 0.000 -3.765 -3.151 694 291.66 0.000 0.002 -8.454 -8.454 2.245 2.683 -12.863 -13.735 -4.045 -3.173 a The corresponding F-statistic (46.73) shows the homoscedasticity hypothesis was rejected. So the test statistic was carried out considering the hetroscedasticity. Table 4. Results of the effect of physical biorhythm on the accidents severity Lost Time accidents Physical Biorhythm Levene’s Test for Equality of Variances t-test for Equality of Means F P-value t df P-value (2- tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Equal variances assumed a Equal variances not assumed 18.245 0.000 -2.321 -1.29 694 94.57 0.021 0.2 -7.646 -7.646 3.294 5.929 -14.114 -19.417 -1.1789 4.124 a The corresponding F-statistic (18.25) shows the homoscedasticity hypothesis was rejected. So the test statistic was carried out considering the hetroscedasticity. Table 5. Results of the effect of intellectual biorhythm on the accidents severity Lost Time accidents Intellectual Biorhythm Levene’s Test for Equality of Variances t-test for Equality of Means F P-value t df P-value (2- tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Equal variances assumed a Equal variances not assumed 27.347 0.000 -2.891 -2.115 694 179.55 0.004 0.036 -7.717 -7.717 2.67 3.649 -12.958 -14.918 -2.476 -0.517 a The corresponding F-statistic (27.35) shows the homoscedasticity hypothesis was rejected. So the test statistic was carried out considering the hetroscedasticity.