Granthaalayah
ANALYSIS O F HEMATOLOGICAL VARIABLES AMONG COMPETITORS IN VARIOUS GAMES

ANALYSIS O F HEMATOLOGICAL VARIABLES AMONG COMPETITORS IN VARIOUS GAMES


Department of Physical Education and Sport Science, Visva-Bharati University, Santiniketan, West Bengal, India

How to cite this article (APA): Rahaman, A (2021). Analysis o f hematological variables among competitors in various games. International Journal of Research - GRANTHAALAYAH, 9(5), 360. doi: 10.29121/granthaalayah.v9.i5.2021.3969

Abstract

Hematological factors may be useful in determining the best physical performance of various game participants. It also indicates the athletes’ health and physical condition. This study deals with the analysis of hematological variables-red blood cells, white blood cells (neutrophil, eosinophil, lymphocytes, monocytes), and platelet among university men basketball, volleyball, and cricket players. Fourteen (14) active players (basketball-5, volleyball-5, and cricket-4) were taken as samples and age range between 20 to 25 years. All players were actively competing at Inter-University levels in their respected sport and they voluntarily participated in this study. Blood samples were collected in the morning session with fasting. Red blood cells, white blood cells, platelet counts were criterion measures in this study. The obtained data were analyzed by one-way ANOVA with the help of SPSS software and the level of significance was set at p<0.05. As per the statistical analysis, insignificant differences were found among the three different game players. In summary, the study found that the red blood cells, white blood cells, and platelet counts are similar in the three groups.

Keywords

Hematology, Blood, Red Blood Cells, White Blood Cells, Platelets, Games, Players

INTRODUCTION

Physical activity through regular exercise has been shown to improve physical, physiological, and other health effects. There is scientific evidence that the acute and chronic effects of regular exercise on several physiological systems have favorable effects (Koç, Özen, Abanoz, & Pulur, 2018). Using auditory and visual information, this majority regular exercise is completed (Rahman & Islam, 2021) . Whereas, additionally, regular exercise helps to enhance body awareness while also reducing the risk of joint sprains, muscular strains, joint pain, muscular pain, and tension (Rahman & Islam, 2020). On the other hand, the function of physiological systems such as the cardiovascular, immunological, and endocrine systems are all evaluated using blood as an indication (Kenney, Wilmore, & Costill, 2015). Regular physical activity and exercise are thought to be significant regulators of blood cells and their activities (Ludlow, Ludlow, & Roth, 2013), (Büttner, Mosig, Lechtermann, Funke, & Mooren, 2007). Different findings have been reported concerning hematologic parameters in the peripheral blood during and after exercise and physical activity (Pedersen, 2000). As a result, there is a close link between regular exercise and hematology.

Plasma, red blood cells (RBC), white blood cells (WBC), and platelets are the most common components of blood (Ghosh & Das, 2013) and in sports physiology, it’s especially essential because it transports oxygen, carbon dioxide, and other nutrients that tissues require (AHMADIZAD & EL-SAYED, 2003), (Akar, Beydagı, Temoçin, Süer, & Erenmemişoglu, 1992), (Arslan, Gonul, Kaplan, & Dinçer, 1992). Hematology studies look at the blood, blood proteins, and blood-producing organs. The study of blood, especially how blood impacts general health and illness, is known as hematology. Infection, anemia, inflammation, hemophilia, blood-clotting problems, leukemia, and the body's response to chemotherapy regimens are all conditions that these tests can assess (Gonzaba, 2018).

Depending on the length of the competition and the intensity of the physical performance, hematological parameters may be impacted (Alwaid, 2021). Type, intensity, exercise duration, eating condition, and supplements can all affect hematological and biochemical parameters (Çınar, Akbulut, Öner, Pancar, & Karaman, 2016). The biochemical and hematological variables are significantly altered by varied environmental match practices (Sureshkumar, Sekarbabu, Ravindran, Krishnaswamy, & Balakrishnan, 2011). Humans undergo a variety of hematological alterations as a result of both acute and chronic exercise (Wardyn et al., 2008). Physical activity causes changes in the number of leucocytes and their subgroups in the circulating blood, according to researchers (Robson, Blannin, Walsh, Castell, & Gleeson, 1999). Due to hemoconcentration and platelet release from the liver, lungs, and, most crucially, the spleen, acute exercise induces a temporary rise in platelet count (Chamberlain, Tong, & Penington, 1990), (Schmidt & Rasmussen, 1984), (Bakovic et al., 2013).

The analysis of hematology has proven that the impact of everyday exercise on hematology is different. It is said that those variations rely upon the severity, length, and frequency of exercising in addition to the bodily and physiological situations of subjects. Furthermore, the severity, length, and frequency of exercising must are well prepared to have a comparable wonderful effect on blood biochemistry (Baltaci, Mogulkoc, Ustundag, Koç, & Ozmerdivenli, 1998). In view of the fact that everyday exercise boosts the immune and metabolic systems (Islam, Rahman, & De, 2020)and these sports activity may impact the blood count. Therefore, to the best of the authors’ knowledge, there are just a few pieces of research on hematological variables in basketball, volleyball, and cricket players. With this in mind, the researcher decided to compare hematological variables among basketball, volleyball, and cricket players in the current study.

METHODOLOGY

Fourteen (14) university-level male players (five basketball players, five volleyball players, and four cricket players) were selected randomly from Visva-Bharati University, Santiniketan, West Bengal, India. Their age ranged from 20 to 25 years. All players participated in the university-level competition.

Table 1: The characteristics of the players (Mean ± SD)

Items

Basketball Players (n=05)

Volleyball Players (n=05)

Cricket Players (n=04)

Age (yr)

22.80 ± 2.17

22.40 ± 0.55

22.75 ±2.22

Weight (kg)

66.60 ± 4.67

64.00 ± 2.74

67.25±7.09

Height (m)

1.71 ± 0.08

1.68 ± 0.01

1.69 ±0.07

BMI (kg/m2)

22.72 ±0.79

22.70 ± 1.02

23.50 ±0.81

In this study researcher wanted to measures six hematological parameters of the selected players.

Table 2: Hematological parameters

Blood Parameters

Methods

Red blood cell

In counts (million/c.mm)

Neutrophil

In counts /c.mm

Eosinophil

In counts /c.mm

Lymphocytes

In counts /c.mm

Monocytes

In counts /c.mm

Platelet

In counts (Lakhs/c.mm)

Blood samples were obtained in the indicated sterile container during the morning session with fasting. Blood samples were collected by trained medical technicians and forwarded to the pathological laboratory for analysis using precise scientific laboratory procedures. The results were compiled in a printed format with letterhead and seal. The data were analyzed using descriptive statistics; mean, standard deviation (SD), standard error of mean (SEM), minimum and maximum scores. One-way analysis of variance (ANOVA) was calculated by the SPSS software.

RESULTS

Table 3: Descriptive statistics of three different games players on hematological variables

Variables

Players

N

Mean

SD

SE

Minimum

Maximum

Red blood cell

Basketball

5

4.70

0.34

0.15

4.40

5.20

Volleyball

5

4.86

0.26

0.12

4.50

5.10

Cricket

4

4.60

0.36

0.18

4.10

4.90

Neutrophil

Basketball

5

5343.40

418.90

187.34

4992.00

5904.00

Volleyball

5

4983.20

708.78

316.97

4071.00

5670.00

Cricket

4

5307.00

368.42

184.21

4950.00

5670.00

Eosinophil

Basketball

5

206.00

44.18

19.76

154.00

246.00

Volleyball

5

197.40

33.50

14.98

162.00

231.00

Cricket

4

213.75

36.11

18.06

162.00

246.00

Lymphocytes

Basketball

5

2291.40

223.36

99.89

1968.00

2496.00

Volleyball

5

2402.80

225.98

101.06

2187.00

2700.00

Cricket

4

2201.25

97.06

48.53

2072.00

2296.00

Monocytes

Basketball

5

79.20

2.17

0.97

77.00

82.00

Volleyball

5

76.60

4.98

2.23

69.00

81.00

Cricket

4

78.00

4.08

2.04

74.00

82.00

Platelet

Basketball

5

3.70

0.29

0.13

3.30

4.10

Volleyball

5

3.32

0.30

0.14

3.10

3.70

Cricket

4

3.35

0.21

0.10

3.10

3.60

Table 3 shows that hematological parameters of basketball, volleyball and cricket players mean and SD of RBC 4.70±0.34, 4.86±0.26, 4.60±0.36; Neutrophil 5343.40±418.90, 4983.20±708.78, 5307.00±368.42; Eosinophil 206.00±44.18, 197.40±33.50, 213.75±36.11; Lymphocytes 2291.40±223.36, 2402.80±225.98, 2201.25±97.06; Monocytes 79.20±2.17, 76.60±4.98, 78.00±4.08; Platelet 3.70±0.29, 3.32±0.30, 3.35±0.21 respectively.

Table 4: One-way ANOVA of t hree different games on hematological variables

Variables

Variation

Sum of Squares

df

Mean Square

F-value

p-value

Red blood cell

Between Groups

0.16

2

0.08

0.77

0.485

Within Groups

1.11

11

0.10

Neutrophil

Between Groups

383359.21

2

191679.61

0.68

0.529

Within Groups

3118566.00

11

283506.00

Eosinophil

Between Groups

599.76

2

299.88

0.20

0.819

Within Groups

16209.95

11

1473.63

Lymphocytes

Between Groups

91802.68

2

45901.34

1.17

0.347

Within Groups

432094.75

11

39281.34

Monocytes

Between Groups

16.93

2

8.46

0.55

0.590

Within Groups

168.00

11

15.27

Platelet

Between Groups

0.43

2

0.22

2.85

0.101

Within Groups

0.84

11

0.08

Table 4 provides hematological parameters data on the relation between red blood cell, neutrophil, eosinophil, lymphocyte, monocyte, and platelet of basketball, volleyball and cricket players. The red blood cell comparison is p = 0.485 (F = 0.77), neutrophil p = 0.529 (F = 0.68), eosinophil p = 0.819 (F = 0.20), lymphocytes p = 0.347 (F = 1.17), monocytes p = 0.590 (F = 0.55), and platelet p = 0.101 (F = 2.85). As the obtained F-value were lower than the table F-value. So no significantly differences were found among the three different games players (p>0.05).

DISCUSSIONS

The purpose of the study was to compare hematological parameters in various sports disciplines. This study will provide about some hematological parameters and also understand that the how much different each of others games players. According to (Parmar, 2013) suggested that the rate of red blood cells in football players is higher than the basketball and volleyball players. Endurance sports activities for a longer length of time diminish hemoglobin and red blood cell count in athletes, which increases their athletic performance as compared to non-athletes (Sujatha & Andrew, 2016). Performing combination training is beneficial to physiological and hematological changes as well as the performance of elite basketball players (Talaee, Nazem, Taherabadi, & Sajadi, 2017). The blood counts of monocytes and platelets were greater in basketball players than in yoga practitioners, while the blood counts of red blood cells, neutrophils, eosinophils, basophils, and lymphocytes were similar between groups (Rahaman, 2021) . The decrease of blood parameters in a certain sport exhibits a similar pattern in both sexes, and the specific variations in red blood cell variables are also connected to the kind of activity, such as soccer, swimming, rowing, wrestling, athletics, and so on (Schobersberger et al., 1990). The red blood cell count was reduced as a result of the high-intensity endurance training (Bandyopadhyay, Chatterjee, & Chatterjee, 2008).

CONCLUSIONS

Finally, results show that no significant differences were found among the three different game players. The present study concluded that red blood cells, neutrophil, eosinophil, lymphocyte, monocyte, and platelet blood counts are similar in basketball, volleyball, and cricket players.

LIMITATION

In this study, the sample sizes were too small.

ACKNOWLEDGEMENT

The author gratefully acknowledges the help of the entire participant who took part in the study.

CONFLICTS OF INTEREST

The author declares that there is no conflict of interest regarding the publication of this paper.

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