Knowledge, Attitude and associated factors towards self-medication among health professionals at University of Gondar Comprehensive Specialized Hospital: Institution-based cross-sectional study

DOI: https://doi.org/10.21203/rs.3.rs-24681/v1

Abstract

Introduction Inappropriate self-medication results in wastage of resources, drug resistance and hence serious health risk. Knowledge acquisition and attitudinal change is required for avoiding self-medication practice. There is paucity of published articles regarding this topic. Therefore, this study aimed to study knowledge, Attitude and associated factors towards self-medication among health professionals at University of Gondar Comprehensive Specialized Hospital, northwest Ethiopia.

Methods This cross-sectional study was conducted among health professionals of University of Gondar comprehensive specialized hospital using simple random sampling technique and self-administered questionnaire. We used Epi Info 7 and SPSS 20 for data entry and statistical analysis. Descriptive statistics were computed logistic regression had been performed to identify associated factors for knowledge and attitude separately. We executed crude and adjusted Odds ratio with 95% uncertainty interval. Variables with a p<0.05 were treated as significant.

Results Four hundred and twelve health professionals participated in the study with 97.4% response rate. The mean age of study participants’ was 29.9 (±5.43, range; 20-60) years and 220 (53.4%) participants were males. From the participants 233(56.6%) (95% UI: 51.8-61.4%) had good knowledge about self-medication and 263 (63.8%) (95% UI: 59.2-68.4%) had good attitude towards self-medication. Knowledge of self-medication was associated with age of 32-60 years (AOR=2.19, UI: 1.14-4.22), Bachelor degree (AOR=6.49, UI: 1.86-22.69), Years after last graduation (AOR=2.49, UI: 1.41-4.41), working hours of 56-110 per week (AOR=2.35, UI: 1.18-4.67), and good attitude (AOR=2.95, UI: 1.77-4.91). Besides this, good attitude was associated with low workload out of workplace (AOR=2.78, UI: 1.03-7.50), ever taking antibiotics (AOR=2.45, UI: 1.31-4.50), and good knowledge (AOR= 2.64, UI: 1.65-4.20).

Conclusion The study demonstrated that the knowledge and attitude of health professionals towards self-medication are relatively high. However still there is a need for health education on the implication and danger of self-medication. There is also need for government to increase awareness by creating training opportunity and incorporating in curricula. 

Introduction

Self-medication is the selection and use of drugs and drug products by any person to treat self-recognized or self-diagnosed conditions without proper diagnosis by physicians (1-7). it is a common practice of the health care system  (7).

Self-medication drugs and drug products are called ‘nonprescription’ or ‘over the counter’ (OTC) which are available in the pharmacy without a prescription ordered by physicians or any other licensed prescribers (8). This includes purchasing medicine without a prescription, sharing medicine with relatives or members of the family (7, 9). Currently  more drugs and drug products has been changed from prescription-only medications  to over the counter (pharmacy sell without prescription) medications (2)

Self-medication can have   benefits  and hazards and the the reasonable use of self-medication can  save limited  medical  resources  from  being wasted on minor  conditions, reduce the load   of health  facilities and  decrease  costs as well as the  time spent to visit  health care facilities for minor disease conditions (10). Having responsible self-medication has been supported by the World Health Organization (WHO) for the treatment and prevention of disease  that is not sever and do not need diagnosis (11).  WHO  points out that responsible self-medication should be supported with information about drugs and medical products  describing how to take the medicine, possible side effects, monitoring, possible interactions, warnings and duration of use (12). On the other hand Self-medication which is not appropriate , may result adverse drug reactions, drug dependence and increased resistance of the microorganisms (13, 14) .  One of the expected  indicators of self-medication is profession and  level of education (2, 15).

As several studies showed Self-medication is commonly practiced in both developed and developing countries (16)  Some governments are increasingly encouraging self‑care of minor illnesses, including self‑medication (17)  if  users should have basic knowledge about drugs  in order to conduct self-medication more effectively and safely (18).

 Several studies shown that self-medication practice differ between diverse populations (9, 19). Self-medication behavior varies significantly with a number of socio-economic characteristics (20). Self-medication practices is alarmingly high in healthcare professionals. however  inappropriate self-medication among health professionals have been found to have severe challenges including legal, ethical, health problems, harmful impacts on patient, unsafe drug interactions , severe adverse reactions (even low chance to be occur) and poor quality of health care delivery (2).

It has been also shown that self-medication is much more common among health professionals and health students than other population (15). The other study done In India about the practice of self-medication was found to be 11.9%. Males, age >40 years and involving in moderate level activity of occupation, were associated with higher self-medication usage (P < 0.05) (21). Better  information to users of self-medication reduces adverse events and any harm caused by drugs and drug products (22). Pharmacists play a key role in providing and assisting self-medication to all populations at their private pharmacy setting (19).

self-medication practice will provide effective way to users if with adequate knowledge of appropriate use and can improve compliance as well as reduced costs incurred (23). Health professionals will be predictable to access drugs and drug products as well as easily access and assuming themselves knowledgeable to select products for treating minor symptoms and have more practice. Regulatory bodies are obligatory to constantly review the safety and efficacy of drugs and drug products and shall contribute to enforcement and implementation of laws and regulations of nonprescription drugs (24).

In our country Ethiopia, Self-medication becomes a common phenomenon (1, 25). It is shown that every pharmacy sells drugs and drug products without a prescription like many developing countries as a result, antibiotics and potentially habit forming medicine are easily available.(9)

Even though various studies have been conducted on knowledge and attitude self-medication practices other than health professionals in different parts of Ethiopia (1, 26). There was scarcity of data regarding self-medication practice among health professionals. The finding will help concerned body to plan appropriate educational, regulatory, and administrative measures in preventing public health risks due to poor knowledge and negative attitude of self-medication practice. Therefore, the aim of this study was to assess the knowledge, Attitude and associated factors toward self-medication among health professionals who are working in University of Gondar Comprehensive Specialized Hospital, northwest Ethiopia.

Methods

Study setting, design, and period

Institutional based cross-sectional study was employed to assess knowledge, attitude and associated factors towards self-medication among health professionals at University of Gondar Comprehensive Specialized Hospital, northwest Ethiopia, which is located 728 Km away from Addis Ababa, the capital city of Ethiopia. University of Gondar Comprehensive Specialized Hospital is a teaching Hospital which acts as a referral center for the nearby General Hospitals. It provides referral services for over 5 million inhabitants in the northwest region of Ethiopia. The data collection period was from June to August, 2019.

Population

We used all University of Gondar Comprehensive Specialized Hospital Health professionals working in different departments of the Hospital. The study population was all University of Gondar Comprehensive Specialized Hospital Health professionals working in different departments of the Hospital who were present at the time of data collection.

Inclusion and exclusion criteria

All Health Professionals working in University of Gondar Comprehensive Specialized Hospital were included. Health Professionals who were severely ill during the data collection period were excluded.

Sample size calculation and sampling technique

The sample size (n) was calculated using single population proportion formula with the assumptions of the proportion =0.5 (no previous study in Ethiopia), 95% uncertainty interval, and margin of error (d) = 5%. After adding non response rate of 10%, the final sample size was 423. Simple random sampling technique was used for selection of Health Professionals to be included in the study.

Data collection procedure

We used semi-structured, pretested self-administered questionnaire to collect the required data after preparing the questionnaire by reviewing different literatures (2, 4, 27). The questionnaire consisted of different items regarding Sociodemographic characteristics, self-medication practice related questions, knowledge related questions and attitude related questions. Four BSc Nurses were recruited to distribute and return the questionnaire and facilitate the collection process.

Variables of the study

Dependent variable: Self-medication practice

Independent variables: Sex, age in years, marital status, educational level, work experience, working setting, Profession, working hours per week, work stress , knowledge  and attitude towards self-medication.

Operational definition

Knowledge: Respondents were asked twenty two knowledge questions about whether they know antimicrobial resistance, they know self-medication mean, they know medication administration requires basic knowledge about drug action, they know changing of time when taking the drug has  hazard, they know antihypertensive drugs could not be discontinued when blood pressure returns to the normal range, they know over use of paracetamol will cause liver toxicity, they know antacid should be chewed before swallowed, they know improper use of medication can result antimicrobial resistance, they know not taking full dose of the medication do have an effect, they know self-medication can mask signs and symptoms, they know drug use during pregnancy should care, they know all medications have its own adverse effects, they know taking medicine with food, drink, tea, or alcohol can interfere with the effect of medicine, they know antibiotics often side effect such as diarrhea, they know antibiotics cause negative effects on body’s own bacterial flora, they know to terminate the therapy immediately if one feels better after only partially antibiotics, they know bacteria can become resistance to antibiotics, they know people can become resistance to antibiotics, they know antibiotics use for animals can reduce possibility of effective antibiotics treatment for humans, they know antibiotics resistance can spread from animals to humans and they know antibiotics resistance can spread from person to person.  . Study participants who scored mean and above of the questions were considered as having good knowledge.

Attitude: Respondents were asked thirteen attitude questions whether they strongly disagree, disagree, agree and strongly agree about self-medication is part of self-care, pharmacists are good source of information for minor medical problems, the course of medicine should be complete although the symptoms subside, health care workers have good ability to treat symptoms ,self-medication is acceptable for health care workers, self-medication would be harmful if taken with without proper knowledge of drug and disease, medical license would be essential for better administration of drugs, the course of medication should be complete although the  symptoms subside, they should be careful with non-prescribed over the counter medicine, health care workers should check the accompanied medication leaflets, self-medication is not acceptable at all and it would be harmful, left over antibiotics can be saved for personal future use and left over antibiotics should be taken back to the pharmacy. Study participants who scored mean and above of the questions were considered as having positive attitude.

Statistical analysis

Epi-info 7.1 was used for data entry and then exported into SPSS version 20 for computing, recoding, and statistical analysis. Mean with standard deviation (SD), and frequency with percent were computed to descriptive results of the study. Logistic regression was used to explain the relationship between knowledge and Attitude with the independent variables. Bivariable analysis was executed to determine crude association between knowledge and Attitude with each independent variable. Independent variables with a p-value of < 0.2 were selected for multivariable logistic regression. A variable with a p-value of ≤ 0.05 with 95% uncertainty interval was treated as significant factor for knowledge and Attitude of self-medication.

Data quality control

Quality control was considered starting from questionnaire design until the analysis process. It was pretested and facilitators were trained about the purpose of study and ethical issues in the process of data filling. Pretest was done among 20 health professionals outside of the study area and we amended the questionnaire based on difficulties we face during pretest.

Reliability   

We computed Cronbach’s alpha to test internal consistency of the tool which was used to assessing knowledge and attitude of health professionals towards self-medication practice. The result showed that the alpha coefficient is 0.702 for knowledge and 0.655 for attitude which are acceptable according to Malley (28).

Results

Sociodemographic characteristics of the respondents 

The study used four-hundreds and twelve health professionals with 97.4% response rate. The mean age of respondents was 29.9 years (±5.43) which ranged from 20- 60 years. From the participants two-hundred and twenty (53.4%) participants were males. More than half of respondents were married 54.9% while the singles accounted for 45.1%.  Three-hundred and thirty-nine (82.3%) participants attained educational level of Bachelor’s degree. One-hundred and ninety-six (47.6%) professionals were Nurses. Majority (63.5%) of the respondents had three and more than three years work experience. One hundred seventy two (41.7%) participants had reported that they have had work load and One-hundred and seventeen (28.4%) participants reported having high workload out of work (Table 1). 

Knowledge and Attitude towards self-medication

From a total of 412 respondents, three hundred and forty three (83.3%) health professionals reported that they have used antibiotics from their life and from this 183(53.4%) respondents have taken antibiotics within a year. From the participants 233(56.6%) (95% UI: 51.8-61.4%) had good knowledge about self-medication practice and 263 (63.8%) (95% UI: 59.2-68.4%) had good attitude towards self-medication (Table 2).

Associated factors of good Knowledge to self-medication

 Age, educational level, department, years  after last graduation, working hours per week, work load, Work load out of work, Do you know OTC classification of drugs ,Ever taken antibiotics , Ever taken antibiotics with a year and attitude  were candidate variables for the final model and entered into multivariable logistic regression.

In the final model; Age in years 32-60 years had greater than 2 folds (AOR=2.19, 95% UI (1.14, 4.22)) good knowledge than respondents having 20-25 years old. Educational level with Bachelor degree had 6.5 times (AOR=6.49, 95% UI (1.86, 22.69)) greater knowledge than diploma holders. Years after last graduation 3+ had about 2.5-fold (AOR=2.49, 95% UI (1.41, 4.41)) better knowledge than those respondents having < 3 years after last graduation. respondents having 56-110 working hours per week had more than 2 folds (AOR=2.35, 95% UI: (1.18, 4.67)) better knowledge of medication than those respondents having 30-38 working hours per week and health professionals with good attitude to self-medication had about 3 times (AOR=2.95, 95% UI: (1.77, 4.91)), good knowledge than to self-medication than those who had poor attitude to self-medication (Table 3). 

Associated factors of good Attitude to self-medication

Educational level, work experience, work load, Work load out of work, Do you know OTC classification of drugs ,Ever taken antibiotics and knowledge  were candidate variables for the final model and entered into multivariable logistic regression.

In the final model; Low Work load out of work had greater than 2.5 folds (AOR=2.78, 95% UI (1.03, 7.50)) good Attitude than respondents reporting none work load out of work. Respondents who ever taken antibiotics had more than 2 times (AOR=2.45, 95% UI (1.31, 4.50)) good attitude than those respondents who do not ever taken antibiotics and health professionals with good knowledge to self-medication had about 2.5 times (AOR=2.64, 95% UI: (1.65, 4.20)), good attitude than to self-medication than those who had poor knowledge to self-medication.(Table 4).

Discussion

The current study assessed health professionals’ knowledge and attitude towards self-medication at University of Gondar Comprehensive Specialized Hospital. In this study, 56.6% (95% UI: 51.8-61.4%) health professionals had good knowledge towards self-medication which is similar with a study in Nigeria (47.2%) (29). Good attitude was seen among 63.8% (95% UI: 59.2-68.4%) health professionals. There is paucity of studies regarding knowledge and attitude towards self-medication among health professionals globally and there is no such study in Ethiopia. Self-medication knowledge is associated with age, educational level, years after last graduation, working hours per week, and good attitude. Health professionals aged 32-60 years had two-fold good knowledge than those aged 20-25 years. It could be due to the fact that as age increases the health professionals get better experiences (30). This is supported by other studies (31, 32). Participants who attended Bachelor degree were 6.5 times more likely to have good knowledge than lower educational level (diploma holders) which is supported by other study (31, 33). The possible reason for this association might be because of increased in information as educational level increases. Having good attitude is associated with good knowledge towards self-medication. A three-fold better knowledge is found in those professionals with good attitude. This is supported by other study (34) .

Good attitude is associated with lower workload, ever taking antibiotics, and good knowledge. Health professionals who had good knowledge had 2.5-fold better attitude towards self-medication (34, 35). This might be due to the common sense in that knowledge is acquired though information which is a base line for most attitudinal changes (36).

Conclusion

Above half number of health professionals reported above 50% of good knowledge and good attitude. Age of 32-60 years, bachelor degree, years after last graduation, working hours of 56-110 per week, and good attitude were determinant factors of self-medication knowledge. On the other hand, low workload out of workplace, ever taking antibiotics, and good knowledge were associated with good attitude. The above listed findings demand the focus of governmental and nongovernmental organizations to draft and implement strategies such as awareness creation to increase knowledge and attitudinal changes of health professionals to enhance the health care system.

Limitations of the study because of the nature of the study design, it cannot show cause and effect. It might also be affected by social desirability and recall bias.

Abbreviations

AOR: Adjusted odds ratio COR: Crude odds ratio OTC: Over the counter SD: Standard deviation UI: Uncertainty interval WHO: World health organization

Declarations

Ethical approval and consent to participate

Ethical approval was gained from ethical committee of School of Pharmacy, University of Gondar and communicated with the hospital administrators. Written informed consent was given to each participant to ascertain their interest of participation. Any possible identifying statements were eliminated to keep confidential. The ethical issues were fulfilled according to ethical declaration of Helsinki.

Consent for publication

Not applicable

Availability of data and materials

The dataset is found at the primary author and anyone can access it by sending email or any other media from the corresponding author upon reasonable application.

Competing interests

No competing of interest was sought among all authors.

Funding

This research was not funded by any governmental or nongovernmental organizations.

Authors’ contributions

All authors contributed to data analysis, drafting or revising the article, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Acknowledgements

The authors of this research would like to acknowledge the study participants, University of Gondar, Gondar Comprehensive Specialized Hospital and facilitators.

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Tables

Table 1: Sociodemographic characteristics of study participants in University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia, 2019 (n=412)

Variable 

Categories 

Frequency

Percent

Marital status 

Married 

226

54.9

Unmarried 

186

45.1

Sex 

Female 

192

46.6

Male 

220

53.4

Age in years 

Mean=29.92(±5.43)  Min=20     Max=60

Marital status 

Married

226

54.9

Unmarried

186

45.1

Education

Diploma

26

6.3

Bachelor degree

339

82.3

Masters and above

47

11.4

Work experience in years

2

142

36.5

3-4

66

16.0

5-8

137

33.3

8-37

67

16.3

Department 

Nurse

196

47.6

Pharmacy

112

27.2

Medicine

18

4.4

Midwifery

69

16.7

Laboratory

17

4.1

Working hrs

30-38

45

10.9

39-43

161

39.1

44-55

97

23.5

56-110

109

26.5

Average patients contacted per day

4-9

100

24.3

10-14

85

20.6

15-29

59

14.3

30-200

168

40.8

Work load 

None

32

7.8

Low

43

10.4

Medium

165

40.0

High

172

41.7

Work load out of work

None

51

12.4

Low

84

20.4

Medium

160

38.8

High

117

28.4

Years after last graduation 

<3

101

24.5

3+

311

75.5






 

Table 2: Items related with Knowledge and Attitude of self-medication among health professionals at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia, 2019 (n=412)

Variables 

Categories 

Frequency 

Percent (%)

Do you know OTC drugs classification 

Yes

311

75.5

No 

101

24.5

Ever taken antibiotics

Yes

343

83.3

No 

69

16.7

Used antibiotics within a year

Yes

183

44.4

No 

229

55.6

Knowledge 

Good 

233

56.6

Poor 

197

43.4 

Attitude 

Good 

263

63.8

Poor 

149

36.2

Practice 

Use self-medication 

225

54.6

No self-medication 

187

45.4

 

Table 3: Associated factors of Knowledge to self-medication among Health professionals at University of Gondar Comprehensive Specialized Hospital, Gondar, northwest Ethiopia, 2019 (n=412)

Variables 

Categories 

Knowledge 

COR (95% UI)

AOR (95% UI)

Good (%)

Poor (%)

Age in years

20-25 

42(60.9)

27(39.1)

1

1

26-28

86(64.7)

47(35.3)

0.83(0.45,1.52)

0.82(0.38,1.75)

29-31

38(41.8)

53(58.2)

0.73(0.42,1.17)

0.60(0.32,1.11)

32-60 

67(56.3)

52(43.7)

1.80(1.04,3.12)

2.19(1.14,4.22)*

Education level 

Diploma 

8(30.8)

18(69.2)

1

1

Bachelor 

190(56.0)

149(44.0)

6.56(2.27,18.94)

6.49(1.86,22.69)**

Masters +

35(74.5)

12(25.5)

2.29(1.15,4.56)

2.04(0.92,4.53)

Department 

Nurse 

115(58.7)

81(41.3)

1.10(0.69,1.77)

0.99(0.55,1.78)

Pharmacy

63(56.2)

49(43.8)

0.28(0.08,1.01)

0.30(0.08,1.22)

Medicine 

15(83.3)

3(16.7)

1.30(0.75,2.26)

1.03(0.51,2.07)

Midwifery

36(52.2)

33(47.8)

4.61(1.45,14.66)

3.94(0.08,14.39)

laboratory

4(23.5)

13(76.5)

1

1

Years  after last 

graduation 

<3

46(45.5)

55(54.5)

1

1

3+

187(60.1)

124(39.9)

1.80(1.15,2.84)

2.49(1.41,4.41)**

Working hrs per week

30-38

21(46.7)

24(53.3)

1

1

39-43

91(56.5)

70(43.5)

2.05(1.01,4.15)

2.68(1.11,6.47)*

44-55

51(52.6)

46(47.4)

1.38(0.84,2.28)

1.54(0.81,2.93)

56-110

70(64.2)

39(35.8)

1.62(0.93,2.83)

2.35(1.18,4.67)*

Work load

None 

8(25.0)

24(75.0)

1

1

Low 

17(39.5)

26(60.5)

5.75(2.43,13.58)

3.30(0.97,11.28)

Medium 

95(57.6)

70(42.4)

2.93(1.47,5.83)

2.26(0.92,5.56)

High 

113(65.7)

59(34.3)

1.41(0.91,2.19)

0.83(0.44,1.56)

Work load out of work 

None 

20(39.2)

31(60.8)

1

1

Low 

34(40.5)

50(59.5)

5.18(2.55,10.49)

1.38(0.47,4.06)

Medium 

89(55.6)

71(44.4)

4.90(2.66,9.04)

3.56(1.58,8.03)

High 

90(76.9)

27(23.1)

2.66(1.56,4.52)

2.36(1.12,4.99)

Do you know OTC classification of drugs

Yes 

193(62.1)

118(37.9)

2.49(1.58,3.95)

1.45(0.79,2.68)

No 

40(39.6)

61(60.4)

1

1

Ever taken antibiotics 

Yes 

213(62.1)

130(37.9)

4.01(2.28,7.06)

1.97(0.94,4.13)

No 

20(29.0)

49(71.0)

1

1

Ever taken antibiotics with year 

Yes 

116(63.4)

67(36.6)

1.66(1.11,2.46)

1.33(0.79,2.26)

No 

117(51.1)

112(48.9)

1

1

Attitude 

Good

180(68.4)

83(31.6)

3.93(2.57,6.01)

2.95(1.77,4.91)***

Poor 

53(35.6)

96(64.4)

1

1

Hosmer and Lemeshow goodness of fit p=0.07, * p<0.05, ** p<0.01 and *** p<0.001

 

Table 4: Associated factors of Attitude to self-medication among Health professionals at University of Gondar Comprehensive Specialized Hospital, Gondar, northwest Ethiopia, 2019 (n=412)

Variables 

Categories 

Attitude  

COR (95% UI)

AOR (95% UI)

Good (%)

Poor (%)

Education level 

Diploma 

11(42.3)

15(57.7)

1

1

Bachelor degree

217(64.0)

122(36.0)

3.98(1.44,11.00)

2.26(0.71,7.10)

Masters and above

35(74.5)

12(25.5)

1.64(0.82,3.38)

1.20(0.55,2.5)

Work experience  

2

46(65.7)

24(34.3)

1

1

3

43(59.7)

29(40.3)

1.17(0.62,2.24)

1.19(0.57,2.4)

4-7

102(61.4)

64(38.6)

1.52(0.81,2.85)

1.43(0.70,2.9)

8+

72(69.2)

32(30.8)

1.41(0.84,2.37)

1.65(0.92,2.9)

Professional Work load 

None 

11(34.4)

21(65.6)

1

1

Low 

26(60.5)

17(39.5)

4.79(2.15,10.67)

1.53(0.53,4.3)

Medium 

103(62.4)

62(37.6)

1.64(0.82,3.29)

0.87(0.39,2.00)

High 

123(71.7)

49(28.5)

1.51(0.96,2.39)

0.83(0.45,1.50)

Work load out of professional work 

None 

22(43.1)

29(56.9)

1

1

Low 

49(58.3)

35(41.7)

6.80(3.24,14.26)

2.78(1.03,7.50)*

Medium 

94(58.8)

66(41.2)

3.68(1.91,7.10)

2.26(1.01,5.00)*

High 

98(83.8)

19(16.2)

3.62(2.02,6.49)

3.23(1.54,6.70)**

Do     you know OTC classification  of drugs

Yes 

218(70.1)

93(29.9)

2.92(1.84,4.63)

1.56(0.90,2.70)

No 

45(44.6)

56(55.4)

1

1

Ever taken antibiotics 

Yes 

240(70.0)

103(30.0)

4.66(2.69,8.09)

2.45(1.31,4.50)**

No 

23(33.3)

46(66.7)

1

1

Knowledge 

Good

180(77.3)

53(22.7)

3.93(2.57,6.01)

2.64(1.65,4.20)***

Poor 

83(46.4)

96(53.6)

1

1

Hosmer and Lemeshow god-ness of fit p=, 0.14* p<0.05, ** p<0.01 and *** p<0.001