Submit manuscript...
eISSN: 2378-315X

Biometrics & Biostatistics International Journal

Review Article Volume 7 Issue 4

Stress causes and outcomes statistical analysis

Seifedine Kadry,1 Maryam Kbaysi,2 Suhad Al Safadi,2 Dareen Al Bakri2

1Department of mathematics and statistics, Faculty of Science, Beirut Arab University, Lebanon
2Faculty of Health Sciences, Beirut Arab University, Lebanon

Correspondence: Seifedine Kadry, Department of mathematics and computer science, Faculty of Science, Beirut Arab University, Beirut, Lebanon

Received: May 19, 2018 | Published: August 15, 2018

Citation: Kadry S, Kbaysi M, Al-Safadi S, et al. Stress causes and outcomes statistical analysis. Biom Biostat Int J. 2018;7(4):353-358. DOI: 10.15406/bbij.2018.07.00229

Download PDF

Abstract

In medical term “stress” is the change in mental and physical status of the body caused by factors including physical, mental or emotional tension. Stress can cause a lot of clinical and psychological conditions such as depression and anxiety. Stress complications are common in people experiencing very high levels of negative stress leading to weakness and overwhelming. It could be a result of continuous stress incidence due to different scenarios. “Stressed out” is a phenomenon that is highly increasing and affecting almost everyone. Stress is all over around us in every situation and every day, but the importance is how to handle the changes and not experiencing the changes as good or bad. Generally, changes in our life as we go on happen all the time and our reaction to these changes is what causes stress. Life changes such as studying a new level of education (e.g Masters), getting new job, losing a job, moving to new romantic partner, or family problems. These changes are new stressful events considered either positive and life-enhancing or negative. The degree of stress varies between high and low, people don`t like to experience the extremes of stress. However; the capacity of each person to overcome the changes in feeling varies. On the other hand, some people enjoy being overwhelmed in important challenging changes and some don`t like the total absence of stress. In conclusion, people tend to reach the middle ground a balance between a lack of stress and too much stress, moreover; human by nature want to live in a calm atmosphere without experiencing high levels of stress. In this paper, we did an empirical study by collected data from health sciences post grad students who work and study using a survey that was administered by smart phone applications. The main idea is to detect the causes that lead to stress and could worsen the mental and physical activity of the body.

Literature review

Everyone has different stress triggers, work stress tops the list. According to surveys 40% of United States workers admit to experience office stress, and one -quarter say work is the biggest source of stress in their lives.1 Stress in everyday terms is a feeling that people have when they are overloaded and struggling to cope with demands which are related to finances, work, relationships and other situations.2 According to the annual stress survey conducted by the American Psychological Association (APA) average stress levels in the United States (U.S) raised from 4.9 to 5.1 on a scale from 1 to 10 in 2015 the main reasons given are employment and money.3

Another study was done in accordance with international coordination of labor conditions a Japanese campaign advocating less work finally got under way recently in the form of work-reducing policies of the government to prevent occupational and stress-related diseases.4 However, long work hours among intermediate managers, who are key persons in most organizations in Japanese industry, are still considered to be prevalent.5,6 This study was conducted to examine the work hours of intermediate managers and clarify the effects of long work hours on the life-style, subjective stress, and subjective quality of life among them.

Questionnaires were administered concerning, life-styles, subjective stress, and subjective quality of life to 3870 heads of a division or a section and 2666 foremen in 110 firms in Japan. The prevalence of > or = 10 work hours was 69.7% for the divisional or sectional heads and 53.2% for the foremen. Long work hours had significant effects on the managers' life-style, such as sleeping pattern and regularity of daily life and meals. The divisional or sectional managers with long work hours perceived higher stress [odds ratio (OR) 2.51, 95% confidence interval (95% CI) 2.17-2.90] and lower quality of life (OR 1.17, 95% CI 1.02-1.36) than those who worked relatively short hours. The foremen with long work hours perceived higher stress (OR 2.35, 95% CI 2.01-2.75) and lower quality of life (OR 1.26, 95% CI 1.08-1.46) than those who worked relatively short hours. In conclusion, long work hours may be associated with poorer life-style, higher stress, and lower quality of life among managers at the intermediate level.

Data collection

The data was collected from health sciences department post grad students who work and study using a survey that was administered by smart phone applications. The main idea of this survey is to detect the causes that lead to stress and could worsen the mental and physical activity of the body.

  1. Sample size, n= 100 students who study and work mainly filled the survey.
  2. Data was entered, tabulated and analyzed using SPSS Software.
  3. The questionnaire design consists of one types of questions:
  4. Close ended questions in which the respondents are given list of predetermined responses from which to choose their answer. 
  5. The variables are designed to answer the research questions.

The variables in the data set are:

  1. Stress: yes or no
  2. Lack time to exercise: yes or no
  3. Lack time to socialize: yes or no
  4. Overworking: yes or no
  5. Unmotivated: yes or no
  6. Overeating: yes or no
  7. Loss of self-control: yes or no
  8. Comforts you when you are stressed smoking or Eating or Listening to music or Exercise or Going out with friends
  9. Solution for work overload related stress: leave the work or Manage your time or Decrease working hours or Go for a holiday

Descriptive statistics

Stress: 56% of the subjects were stressed while 44% were not stressed (Table 1) (Figure 1).

Figure 1 Stress.

Frequency

Percent

Valid percent

Cumulative percent

 Yes

56

56

0

56

 No

44

44

44

100

Total

100

100

100

Table 1 Stress

Lack time to exercise: 61% of the subjects lack time to exercise while 39% have time to exercise (Table 2) (Figure 2).

Figure 2 Exercise time.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

61

61

61

61

 No

39

39

39

100

Total

100

100

100

Table 2 Exercise time

Socializing time: 55% of the subjects lack time to socialize while 45% have time to socialize (Table 3) (Figure 3).

Figure 3 Socialize.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

55

55

55

55

 No

45

45

45

100

Total

100

100

100

Table 3 Socialize

Sleepind disturbance: 55% of the subjects suffer from sleeping disturbance while 45%sleep normally (Table 4) (Figure 4).

Figure 4 Sleep.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

55

55

55

55

 No

45

45

45

100

Total

100

100

100

Table 4 Sleep

Unmotivated: 53% of the subjects are unmotivated while 47% feel normal (Table 5) (Figure 5).

Figure 5 Unmotivated.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

53

53

53

53

 No

47

47

47

100

Total

100

100

100

Table 5 Unmotivated

Work overload: 71% of the subjects suffer from work overload while 29% do not suffer (Table 6) (Figure 6).

Figure 6 Work overload.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

71

71

71

71

 No

29

29

29

100

Total

100

100

100

Table 6 Amplitude in mill volts of the Lead-1 of electrocardiography in sheep

*Significant (P≤0.05); NSNot significant (P>0.05)

Overeat: 53% suffer from overeating while 73% have normal eating habits (Table 7) (Figure 7).

Figure 7Overeating.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

53

53

53

53

 No

47

47

47

100

Total

100

100

100

Table 7 Overeating

Self-control: 40% of the subjects have loss of self-control while 60% are normal (Table 8) (Figure 8).

Figure 8Self-control.

Frequency

Percent

Valid percent

Cumulative percent

Valid

 Yes

40

40

40

40

 No

60

60

60

100

Total

100

100

100

Table 8 Self-control

Comfort when stressed: Here we can assume that listening to music is the most used way to reduce stress (Table 9) (Figure 9).

Figure 9Comfort.

Frequency

Percent

Valid percent

Cumulative percent

Valid

Smoking

15

15

15

15

Eating

16

16

16

31

Listening to music

36

36

36

67

Exercise

18

18

18

85

Going out with friends

15

15

15

100

Total

100

100

100

Table 9 Amplitude in mill volts of the Lead-1 of electrocardiography in sheep

*Significant (P≤0.05); NSNot significant (P>0.05)

Management of stress due to work overload: Here we can see that people preferred lowering working hour as an effective way to reduce work related stress (Table 10) (Figure 10).

Figure 10Manage.

Frequency

Percent

Valid percent

Cumulative percent

Leave your work

19

19

19

19

Mange your time

20

20

20

39

Lower work hours

43

43

43

82

Go for a holiday

18

18

18

100

Total

100

100

100

Table 10 Manage

Inferential statistics

Research questions

Does lacking time to exercise cause stress?

H0= lacking time to exercise does not cause stress.

Ha= lacking time to exercise causes stress (Table 11).

Count

Exercise time

Total

 Yes

 No

Stress

 Yes

44

12

56

 No

17

27

44

Total

61

39

100

Table 11 Stress* exercise time Cross tabulation

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

16.518a

1

0

Continuity Correctionb

14.882

1

0

Likelihood Ratio

16.852

1

0

Fisher's Exact Test

0

0

Linear-by-Linear Association

16.353

1

0

N of Valid Cases

100

Table 11 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 17.16.

b. Computed only for a 2x2 table.

According to the chi square test the p value=0.00 and when the p value is lower than 0.05 it’s considered significant. Therefore we accept the Ha and we reject the H0. So we can conclude that lacking time to exercise causes stress.

Does sleep disturbance cause stress?

H0= sleep disturbance does not cause stress.

Ha= sleep disturbance causes stress (Table 12).

Count

Sleep

Total

 Yes

 No

Stress

 Yes

36

20

56

 No

19

25

44

Total

55

45

100

Table 12 Stress* Sleep Cross tabulation

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

4.434a

1

0.035

Continuity Correctionb

3.622

1

0.057

Likelihood Ratio

4.455

1

0.035

Fisher's Exact Test

0.044

0.028

Linear-by-Linear Association

4.39

1

0.036

N of Valid Cases

100

Table 12 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 19.80. b. b. Computed only for a 2x2 table.

According to the chi square test the p value=0.044 and when the p value is lower than 0.05 it’s considered significant. Therefore we accept the Ha and we reject the H0. So we can conclude that sleeping disturbance causes stress.

Does lacking time to socialize causes stress?

H0= lacking time to socialize does not cause stress.

Ha=lacking time to socialize causes stress (Table 13).

Count

Socialize

Total

 Yes

 No

Stress

 Yes

41

15

56

 No

14

30

44

Total

55

45

100

Table 13 Stress* socialize Cross tabulation

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

17.060a

1

0

Continuity Correctionb

15.429

1

0

Likelihood Ratio

17.5

1

0

Fisher's Exact Test

0

0

Linear-by-Linear Association

16.89

1

0

N of Valid Cases

100

Table 13 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 19.80

b. b. Computed only for a 2x2 table.

According to the chi square test the p value=0.00 and when the p value is lower than 0.05 it’s considered significant. Therefore we accept the Ha and we reject the H0.
So we can conclude that lacking time to socialize causes stress.

Is being unmotivated causes stress?

H0= un-motivation does not cause stress.

Ha= un-motivation causes stress (Table 14).

Count

Unmotivated

Total

 Yes

 No

Stress

 Yes

34

22

56

 No

19

25

44

Total

53

47

100

Table 14 Stress* unmotivated

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

3.041a

1

0.081

Continuity Correctionb

2.377

1

0.123

Likelihood Ratio

3.052

1

0.081

Fisher's Exact Test

0.107

0.061

Linear-by-Linear Association

3.01

1

0.083

N of Valid Cases

100

Table 14 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 20.68. b.

b. Computed only for a 2x2 table.

According to the chi square test the p value=0.107 and when the p value is higher than 0.05 it’s considered not significant. Therefore we accept the H0 and we reject the Ha. So we can conclude that being unmotivated does not cause stress.

Does work overload causes stress?

H0= work overload does not cause stress.

Ha= work overload causes stress (Table 15).

Count

Work overload

Total

 Yes

 No

Stress

 Yes

39

17

56

 No

32

12

44

Total

71

29

100

Table 15 Stress* work overload Cross tabulation

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.114a

1

0.736

Continuity Correctionb

0.013

1

0.908

Likelihood Ratio

0.114

1

0.735

Fisher's Exact Test

0.826

0.456

Linear-by-Linear Association

0.113

1

0.737

N of Valid Cases

100

Table 15 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 12.76.

b. b. Computed only for a 2x2 table.

According to the chi square test the p value=0.826 and when the p value is higher than 0.05 it’s considered not significant. Therefore we accept the H0 and we reject the Ha. So we can conclude that work overload does not cause stress.

Does stress result in overeating?

H0= stress does not cause overeating.

Ha=stress causes overeating (Table 16).

Count

Overeating

Total

 Yes

 No

Stress

 Yes

32

24

56

 No

21

23

44

Total

53

47

100

Table 16 Stress* overeating Cross tabulation

Chi-Square tests 

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.877a

1

0.349

Continuity Correctionb

0.54

1

0.463

Likelihood Ratio

0.878

1

0.349

Fisher's Exact Test

0.421

0.231

Linear-by-Linear Association

0.868

1

0.351

N of Valid Cases

100

Table 16 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 20.68.

b. Computed only for a 2x2 table

According to the chi square test the p value=0.421 and when the p value is higher than 0.05 it’s considered not significant. Therefore we accept the H0 and we reject the Ha. So we can conclude that stress does not cause overeating.

Does stress cause loss of self-control?

H0= stress does not cause loss of self-control.

Ha= stress causes loss of self-control (Table 17).

Count

Self control

Total

 Yes

 No

Stress

 Yes

24

32

56

 No

16

28

44

Total

40

60

100

Table 17 Stress* self control Cross tabulation

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.433a

1

0.511

Continuity Correctionb

0.205

1

0.651

Likelihood Ratio

0.434

1

0.51

Fisher's Exact Test

0.543

0.326

Linear-by-Linear Association

0.429

1

0.513

N of Valid Cases

100

Table 17 Stress* self control Cross tabulation

Chi-Square tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.433a

1

0.511

Continuity Correctionb

0.205

1

0.651

Likelihood Ratio

0.434

1

0.51

Fisher's Exact Test

0.543

0.326

Linear-by-Linear Association

0.429

1

0.513

N of Valid Cases

100

Table 17 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 17.60.

b. b. Computed only for a 2x2 table.

According to the chi square test the p value=0.543 and when the p value is higher than 0.05 it’s considered not significant. Therefore we accept the H0 and we reject the Ha. So we can conclude that stress does not cause loss of self-control.

Discussion

After analyzing our results using SPSS we found out that stress is caused by lacking time to exercise, lack of socializing and sleeping disturbance while overworking and un-motivation are not correlated to stress. Regarding stress outcomes we found out that overeating and loss of self-control are not associated with stress. Also we found out the most people prefer listening to music when they are stressed, and that if stress is caused by work-overload the solution is to decrease working hours.

Acknowledgements

None.

Conflict of interest

Author declares that there is no conflict of interest.

References

Creative Commons Attribution License

©2018 Kadry, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.