Effectiveness of Lemon juice on reduction of blood pressure among hypertensive clients in selected rural community, Mangaluru

 

Mrs. Shilpa T M1., Dr (Mrs.) Jenifer D’ Souza2

1Final Year M. Sc (N) Student, Department of Community Health Nursing, Laxmi Memorial College of Nursing, Mangaluru, Karnataka. India.

2Professor and HOD, Department of Community Health Nursing, Laxmi Memorial College of Nursing, Mangaluru, Karnataka. India.

*Corresponding Author Email: shilpa.tm3@gmail.com

 

ABSTRACT:

Background: One of the major risk factor for CVDs is hypertension. Regular practice of ingestion of lemon juice as complimentary therapy would have a positive impact in controlling blood pressure; since it contains vitamin C. Method: A quasi experimental interrupted time series design was adopted for the study. The sample comprised of 50 hypertensive clients, selected using non-probability purposive sampling technique. On day 1 demographic proforma of the clients was collected and blood pressure reading was taken. The clients were then randomly assigned to experimental and control groups. The experimental group was administered 10ml lemon juice diluted in 250ml warm water in the morning, 30 minutes before breakfast for a period of 30 days. The control group received no intervention by the investigator but was advised to carry on with routine treatment. The blood pressure was checked at 15th and 30th day for clients in both experimental and control group. Results: The mean pre-test SBP reading 156.40±8.7 was more than the post-test I 153.44±9.7 and post-test II 143.04±11.0 in the experimental group. The mean pre-test SBP reading 153.28±9.7 is more the than post-test I 149.60±12.0 and post-test II 148.80±11.2 in control group. The mean pre test DBP reading 98.08±3.5 is more than the post-test I 93.84±5.3 and post-test II 88.72±5.0 in the experimental group. The mean pre test DBP reading 96.80±4.2 is more the than post-test I 94.72±5.4 and post-test II 94.48±4.0 in the control group. ANOVA test showed that the F value 61.91 for the SBP was greater than the tabled value t(2,48) =3.19 and  F value 37.85 for the DBP was also greater than the tabled value t(2,48)=3.19 at 0.05 level of significance. Mann-Whitney ‘Z’ value 0.44 of pre test and post-test I in experimental and control group is less than the tabled value 1.96 and ‘Z’ value 3.24 of pre test and post test II in experimental and control group is greater than the tabled value 1.96 at 0.05 level of significance. There was a significant association of level of SBP with educational status and diet. There is no significance association of levels of DBP with age, gender, religion, education, occupation, diet, duration of diseases, treatment followed and associated illness. Interpretation and conclusion: Study concludes that, lemon juice is a non-pharmacological and cost effective intervention in reducing blood pressure in hypertensive clients.

 

KEYWORDS: lemon juice, hypertensive clients, effectiveness.

 

 


INTRODUCTION:

The world statistics of hypertension in 2018 shows that the prevalence of hypertension is highest in Africa (46% of adult) while lowest in America (35% of adult). Age specific prevalence of hypertension is 3.3% (18-28yrs), 13.2% (30-39yrs), 22% (40-49yrs), 37.5% (50-59yrs), 51% (60-74yrs)1. In 2019 prevalence of hypertension in India is 24-30% of prevalence of hypertension in urban areas and 12-14% in rural areas2. State wise statistics of hypertension shows that in Karnataka 21% of people suffer from hypertension. The statistics of 2015 shows that in Dakshina Kannada 43.6% of adult suffer from hypertension Global Burden of Disease (GBD). Study has estimated that hypertension led to 1.6 million deaths and 33.9 million disability-adjusted life years in 2015 and is most important cause of disease burden in India3.

 

Due to aging process, elderly have the highest prevalence of hypertension. Therefore there is a need to control hypertension, among the elderly, one of the fastest-growing segments of the world population. It is a major risk factor for CVD, which remains one of the leading causes of death among older adults aged 65 years or older. The use of complementary medicine is increasing rapidly, exceeding prevalence of 53% among those aged 50 years and above4.

 

Among the various complementary and alternative therapies for management of hypertension, lemon juice is gaining more popularity. Consumption of warm lemon water in the morning in empty stomach, as it is rich in potassium, magnesium, and water help to lower the blood pressure, it helps to kick-start the digestion process for the day. After a night’s sleep the body is dehydrated and ready to flush out toxins. If the body is dehydrated, blood becomes thicker and body has to work too hard to circulate. Lemon which is rich in vitamin c is the perfect tool to hydrate and cleanse the body by expelling toxins from the body5.

 

Lemon contains vitamin c, which helps in making the blood vessels soft and pliable and removes their rigidity which in turn lowers the high blood pressure. In fact, when lemon is consumed regularly, there is less chance of heart failure due to its invaluable Vitamin B. It also contains the mineral potassium, which works with sodium to keep blood pressure regulated, and studies have also proved that people who consume more potassium have a lower blood pressure than those who consume less of the mineral. The Review of literature shows that benefits of drinking warm lemon water in the morning in empty stomach are that it decreases blood pressure, cholesterol, stress, arteriosclerosis, heart failure, helps in digestion, liver detoxification, iron absorption, weight loss (if it is combined with a reduced-calorie diet and exercise program),act as diuretic, natural laxative, boost immune system, balance PH, clears skin, enhances mood, hydrates body, promotes wound healing, freshens breath, reduces joint and muscle pain, beneficial during pregnancy, prevents respiratory diseases and lowers blood sugar6.

 

A quasi experimental study was done in Dommasandra PHC, Bangalore. The aim of the study was to determine the effect of lemon juice on selected physiological parameters among PIH mothers in experimental group, to compare the physiological parameters of PIH mothers in both experimental and control group and to determine the association between physiological parameters and selected demographic variables among PIH mothers. A sample of 30 PIH mother between the age group of 20-25 were selected by using purposive sampling technique and 15 mothers each were assigned randomly to the experimental and control group. Base line data, mercury sphygmomanometer, stethoscope were used to obtain the data. Result of study revealed that there was significant difference between mean pre test and post test score of systolic blood pressure at 1st day (Mean=138.66) and 5th day (Mean=126), diastolic blood pressure at 1st day (Mean=90) and 5th day (Mean=80) among experimental group. The obtained ‟t” value of systolic and diastolic mean for pre test and post test (5.025 and 5.076) was greater than the table value that inferred that lemon juice is effective in reducing Pregnancy Induced Hypertension. The finding of the study concluded that Lime juice intake is effective during Pregnancy Induced Hypertension in reducing Blood Pressure7.

 

MATERIAL AND METHOD:

STATEMENT OF THE PROBLEM:

Effectiveness of lemon juice on reduction of blood pressure among hypertensive clients in selected rural community, Mangaluru.

 

OBJECTIVES OF THE STUDY:

1    To assess the existing level of blood pressure among clients in both the experimental and the control group.

2    To find the effectiveness of lemon juice in reduction of blood pressure among hypertensive clients in the experimental group.

3    To compare the blood pressure reading between experimental and control group.

4    To find the association of pre-test blood pressure reading with selected demographic variable of hypertensive client.

 

HYPOTHESES:

H1:   The mean post-test blood pressure reading will be significantly lower than the mean pre-test blood pressure reading in experimental group.

H2:   There will be a significant difference in the post test blood pressure reading in the experimental and control group.

H3:   There will be a significant association of pre-test blood pressure reading with the selected demographic variable.

 

Research approach:

A quasi experimental research approach was adopted.

 

Research design:

Interrupted time series design was used.

 

Research setting:

Kalai rural community area, under Benjanapadav PHC, Mangaluru.

 

Sample:

50 hypertensive clients (25 in the experimental and 25 in the control group)

 

Sampling technique:

Non-probability purposive sampling technique adopted.

 

Description of tools:

·       Demographic proforma: It consists of 9 items, which includes age, gender, religion, educational status, occupation, diet, duration of diseases, treatment followed and any associated illness.

·       Diary for recording daily lemon juice intake in hypertensive clients.

·       Record of blood pressure of hypertensive clients in experimental group and control group.

 

Plan of data analysis:

The obtained data was analyzed using descriptive and inferential statistics on the basis of objectives and hypothesis of the study.

·         Computation of frequency and percentage distribution of demographic variables of the hypertensive clients.

·         Range, Mean, Median and Standard Deviation to find blood pressure readings of hypertensive clients in experimental and control group.

·         ANOVA to find the significant difference of mean pre-test and post- test blood pressure reading in the experimental group.

·         Bonferroni ‘t’ test to find multiple comparisons of pre-test and post-test systolic and diastolic blood pressure reading in the experimental group.

·         Mann-Whitney ‘U’ Test to find the significant difference in the mean systolic blood pressure reading and diastolic blood pressure reading in the experimental and control group.

·         Chi square test to find the association of blood pressure reading of experimental and control group with selected demographic variables of hypertensive clients.


 

 

RESULTS:

Section I: Description of the demographic variables of hypertensive clients

 

Table 1: Frequency and percentage distribution of demographic variables of the hypertensive clients n1=25, n2=25

Demographic variables

 

Experimental group
(n1=25)

Control group
(n2 =25)

F

%

F

%

1.    Age (years)

a.     40-45

b.    45-50

c.     40-55

d.    55-60

 

-

3

6

16

 

-

12

24

64

 

 7

14

1

3

 

28

 56

4

 12

2.    Gender

a.     Male

b.    Female

 

12

13

 

48

52

 

10

15

 

40

60

3.    Religion

a.     Hindu

b.    Muslim

c.     christen

d.    Others

 

1

24

-

-

 

4

96

-

-

 

5

20

-

-

 

20

80

-

-

4.    Education Status

a.     Non formal

b.    Primary

c.     Secondary

d.    PU and above

 

12

12

1

-

 

48

48

4

-

 

13

10

2

-

 

52

40

8

-

5.    Occupation

a.     Unemployed

b.    Skilled

c.     Unskilled

d.    Professional

 

6

17

2

-

 

24

68

8

-

 

1

18

6

-

 

4

72

24

-

6.    Diet

a.     Vegetarian

b.    Non vegetarian

c.     Mixed

 

-

10

15

 

-

40

60

 

 1

9

15

 

4

 36

60

7.    Duration of diseases

a.     <3yrs

b.    4-6yrs

c.     7-9yrs

d.    >9yrs

 

7

9

8

1

 

28

36

42

4

 

6

13

4

2

 

24

52

16

8

8.    Associated illness if any

a.     Nil

b.    Gastritis

c.     Gastro oesophageal reflex disorder

d.    Renal diseases

e.     Tooth erosion

f.     Any other specify

 

20

-

-

-

-

-

5

 

80

-

-

-

-

-

20

 

13

5

-

-

-

-

7

 

52

20

-

-

 

 

28

9.    Treatment followed

a.     Diet modification

b.    Any hypertensive drugs

c.     Both

d.    Any other specify

 

1

9

15

-

 

4

36

60

-

 

6

11

8

-

 

24

44

32

-

 

Section II: Description of blood pressure readings of hypertensive clients in experimental and control group

 

Table 2: Range, Mean, Median and Standard Deviation of Pre-test and Post-tests of systolic blood pressure of hypertensive clients in experimental and control group n1=25, n2=25

Group

 

Range

Mean

Median

Standard deviation

Experimental group

Pre-test

142-172

156.40

156

8.7

(n1=25)

Post-test I

138-172

153.44

152

9.7

 

Post-test II

120-160

143.04

142

11.0

Control group

Pre-test

140-170

153.28

150

9.7

(n2=25)

Post-test I

120-172

 149.60

150

12.0

 

Post-test II

122-162

148.80

150

11.2

 


The data depicted in Table 2 shows that the mean pre-test systolic blood pressure reading (156.40±8.7) is more than the post-test I (153.44±9.7) and post-test II(143.04±11.0) systolic blood pressure in the experimental group. The mean pre-test systolic blood pressure reading (153.28±9.7) is more the than post-test I (149.60±12.0) and post-test II (148.80±11.2) systolic blood pressure reading in control group.


 

Table 3: Range, Mean, Median and Standard Deviation of Pre-test and Post-tests of diastolic blood pressure of hypertensive clients in experimental and control group n1=25, n2=25

Group

 

Range

Mean

Median

Standard deviation

Experimental group

Pre-test

90-104

98.08

98.00

3.5

(n1=25)

Post-test I

80-100

93.84

94.00

5.3

 

Post-test II

80-96

88.72

90.00

5.0

Control group

Pre-test

90-104

96.80

98.00

4.2

(n2=25 )

Post-test I

80-104

94.72

96.00

5.4

 

Post-test II

88-100

94.48

96.00

4.0

 


The data depicted in Table 3 shows that the mean pre test diastolic blood pressure reading (98.08±3.5) is more than the post-test I (93.84±5.3) and post-test II (88.72±5.0) diastolic blood pressure reading in the experimental group. The mean pre test diastolic blood pressure reading (96.80±4.2) is more the than post-test I (94.72±5.4) and post-test II (94.48±4.0) diastolic blood pressure reading in the control group.

 

Section III: Effectiveness of lemon juice on reduction of blood pressure among hypertensive clients in the Experimental Group:

To find the significant difference between the pre-test and post-test blood pressure in the experimental group, one way ANOVA was computed.

H01: There will be no significant difference in the blood pressure reading before and after lemon juice intake in the experimental group.


 

Table 4: One Way ANOVA results showing the significant difference between pre test and post test blood pressure of the clients in the Experimental Group n1=25

 

Experimental group

Sum of squares

Df

F value

P value

SBP

Between clients

149.60

2

 

 

 

Within clients

153.44

48

61.915

0.000

 

Total

303.04

50

 

 

DBP

Between clients

94.72

2

 

 

 

Within clients

93.84

48

37.857

0.001

 

Total

188.56

50

 

 

t(2,48)=3.19, p<0.05, df= degree of freedom


The data depicted in Table 4 shows that the calculated F value (61.91) for the systolic blood pressure was greater than the tabled value t(2,48) =3.19 at 0.05 level of significance. The calculated F value (37.85) for the diastolic blood pressure was also greater than the tabled value t(2,48)=3.19 at 0.05 level of significance. Thus the null hypothesis H01 was rejected.

 

Significance of paired difference between the pre-test and post-test mean blood pressure reading among hypertensive clients:

To test the significance difference between the pair of various blood pressure reading, Bonferroni ‘t’ test was computed.


 

Table 5: Bonferroni ‘t’ test showing multiple comparisons of pre-test and post-test systolic and diastolic blood pressure reading in the experimental group. n1=25

Group

Time

Mean change (%)

Mean difference

P value

Experimental group SBP

Pre-test

15th day 156.40 1.89

02.96

0.00

30th day 153.44 8.54

13.36

0.00

15th day

30th day 143.04 6.78

10.40

0.00

Experimental group
DBP

Pre-test

15th day 98.08 4.3

4.24

0.00

30th day 93.84 9.54

9.36

0.00

15th day

30th day 88.72 5.46

5.12

0.00

t(24)= 3.09 , p < 0.005

 


The data depicted in Table 5 shows that the mean difference of pre test to 15th day of systolic blood pressure (02.96) is less than 15th day to 30th day (10.40) and less than pre test to 30th day (13.36) at 0.005 level of significance. The mean difference of pre test to 15th day of diastolic blood pressure (4.24) is less than 15th day to 30th day (5.46) and less than pre test to 30th day (9.36) at 0.005 level of significance. This shows that there is significant difference between the pre-test and post-test blood pressure reading (post I and post II) in the experimental group.

 

Section IV: Comparison of blood pressure reading of experimental and control groups:

To find the significant difference between post-test blood pressure reading in the experimental group and control group Mann-Whitney ‘U’ test was computed.

H02: There is no significant difference between post test blood pressure reading in experimental group and control group


 

Table 6: Mann-Whitney ‘U’ Test showing the significant difference in the mean systolic blood pressure reading in the experimental and control group.  n1 =25 n2=25

Time

Group

Mean

Median

Change (%)

‘Z’ value

p value

Pre -Post-test I

E

2.96

152.0

1.89

0.44

0.660

C

3.68

150.0

2.40

 

 

Pre-Post-test II

E

13.36

 142.0

8.54

3.24

0.001

C

 4.48

150.0

2.92

 

 

 t(48)=1.96, p < 0.05

 


The data depicted in table 6 shows that the Mann-Whitney ‘Z’ value 0.44 of pre test and post-test I in experimental and control group is less than the tabled value 1.96 at 0.05 level of significance and Mann-Whitney ‘Z’ value 3.24 of pre test and post test II in experimental and control group is greater than the tabled value 1.96 at 0.05 level of significance. It shows there is significant difference in the systolic blood pressure in experimental and control group. Thus H02 was rejected.

 

Section V: Association of blood pressure reading of experimental and control group with the selected demographic variables

To determine the association of blood pressure reading with selected demographic variables Chi square test was computed

H03: There is no significant association of blood pressure reading of experimental and control group with selected demographic variables of hypertensive clients.


 

Table 7: Association of systolic blood pressure reading of experimental and control group with the selected demographic variables n=50

Demographic Variables (156) (156)

≤median

>median

c2 Value

df

c2 Table Value

Inference

1. Age

·    <50yrs  

·    >50yrs  

·    Total  

 

14

10

24

 

10

16

26

 

1.97

 

 

 

1

 

 

3.84

 

not significant

 

2. Gender

·    Male  

·    Female  

·    Total  

 

13

11

24

 

09

17

26

 

1.94

 

1

 

 

3.84

 

 

not significant

3. Religion

·    Hindu  

·    Muslim  

·    Total  

 

04

20

24

 

02

24

26

 

0.29

 

 

1

 

3.84

 

 

not significant

 

4. Education status

·    Illiterate  

·    Primary  

·    Total  

 

17

07

24

 

08

18

26

 

8.01

 

 

1

 

 

3.84

 

 

Significant

 

5. Occupation

·    Skilled  

·    Others  

·    Total  

 

16

08

24

 

19

07

26

 

0.24

 

 

1

 

3.84

 

 

not significant

 

6. Diet

·    Non veg  

·    Others  

·    Total  

 

04

20

24

 

15

11

26

 

7.25

 

 

1

 

 

3.84

 

 

 Significant

 

 

7. Duration of diseases

·    <6yrs  

·    >6yrs  

·    Total  

 

18

06

24

 

17

09

26

 

 0.54

 

1

 

3.84

 

 

not significant

 

 

8. Treatment followed

·    Diet   

·    Others

·    Total  

 

15

09

24

 

18

08

26

 

0.25

 

1

 

 

3.84

 

 

not significant

9.Associated illness if any

·    Gastritis  

·    Others  

·    Total  

 

13

11

24

 

07

19

26

 

3.84

 

1

 

3.84

 

not significant

p< 0.05

 


The data depicted in the table 7 shows that there was a significant association of level of systolic blood pressure with educational status (c2=8.013) and diet (c2=7.259) at 0.05 level of significance. Hence a null hypothesis (H03) was rejected for the demographic variables like educational status and diet.


 

Table 8: Association of diastolic blood pressure reading of experimental and control group with the selected demographic variables n=50

Demographic

 Variables (10) (10)

≤median

>median

pValue

 

 

 Table Value

Inference

1.  Age

·   45-50yrs  

·   51- 60yrs  

·   Total  

 

05

06

11

 

03

09

09

 

 0.46

 

 

 

 

 

 

0.05

 

not significant

 

 

2.Religion

·   Hindu  

·   Muslim  

·   Total  

 

10

01

11

 

08

01

09

 

 0.71

 

 

 

 0.05

 

 

not significant

 

 

3.Education status

·   Illiterate  

·   Primary  

·   Total  

 

08

03

11

 

07

02

09

 

 0.60

 

 

 

 

 

 0.05

 

 

not significant

 

 

6.Monthly income

·   <2,500  

·   2,501-5,000  

·   Total  

 

09

02

11

 

09

00

09

 

 0.28

 

 

 

 

0.05

 

 

not significant

 

 

7.Type of family

·   Nuclear  

·   joint  

·   Total  

 

02

12

17

 

14

19

33

 

 0.80

 

 

1

 

 

3.84

 

 

 not significant

 

 

7.Duration of diseases

·   <yrs  

·   >6yrs  

·   Total  

 

10

07

17

 

25

08

33

 

 1.53

 

1

 

3.84

 

 

not significant

 

 

8.Treatment followed

·   Diet   

·   Present  

·   Total  

 

11

06

17

 

22

11

33

 

0.01

 

1

 

 

 

3.84

 

 

 

not significant

 

9.Associated illness if any

·   Gastritis   

·   Others  

·   Total

 

08

09

17

 

12

21

33

 

0.53

 

1

 

3.84

 

not significant

p<0.05

 


The data depicted in the table 8 shows that there is no significance association of levels of diastolic blood pressure with age (c2=2.88), gender (c2=0.83), religion (c2=0.17), education (c2=0.08), occupation (c2=0.00), diet (c2=0.80), duration of diseases (c2=1.53), treatment followed (c2=0.01) and associated illness (c2=0.53) at 0.05 level of significance. Hence null hypothesis (H03) was rejected for these selected demographic variables.

 

DISCUSSION:

The mean post test blood pressure reading in the experimental group was less than the controls group. ANOVA test showed that the calculated F value (61.91) for the systolic blood pressure was greater than the tabled value t(2,48) =3.19 at 0.05 level of significance. The calculated F value (37.85) for the diastolic blood pressure was also greater than the tabled value t(2,48)=3.19 at 0.05 level of significance. The finding of the present study is supported by a study done, to assess the effectiveness of lemon juice on blood pressure among pregnancy induced hypertension in antenatal mothers in Bangalore. The study finding shows that there was significant deference between mean pre test and post test score of systolic blood pressure at 1st day (Mean=138.66) and 5th day (Mean=126), diastolic blood pressure at 1st day (Mean=90) and 5th day (Mean=80) among experimental group7. The Mann-Whitney ‘Z’ value 0.44 of pre test and post-test I in experimental and control group is less than the tabled value 1.96 at 0.05 level of significance and Mann-Whitney ‘Z’ value 3.24 of pre test and post test II in experimental and control group is greater than the tabled value 1.96 at 0.05 level of significance. The finding of the study is supported by a study conducted in Isfahan Cardiovascular Research Centre. The aim of the study is to find the effects of garlic and lemon juice mixture on cardiovascular risk factors. The study result showed that there was a greater reduction in systolic and diastolic blood pressure observed in Group 1 SBP (134 ± 21 to 97), DBP (86±10 to 62 ) compared with Groups 2 SBP (128 ± 12 to 95), DBP (81 ± 11 to 63) , Group 3 SBP (122± 2 to 121), DBP (68 ± 2 to 69) and 4 SBP(122± 32 to 122), DBP (72 ± 13 to 71), p<0.001 respectively8. There was a significant association of level of systolic blood pressure with educational status (c2=8.013) and diet (c2=7.259) at 0.05 level of significance. There is no significance association of levels of diastolic blood pressure with age(c2=2.88), gender (c2=0.83), religion (c2=0.17), education (c2=0.08), occupation (c2=0.00), diet (c2=0.80), duration of diseases (c2=1.53), treatment followed (c2=0.01) and associated illness (c2=0.53) at 0.05 level of significance. Another study supporting the present study is to assess the age, religion, occupation on BP among hypertensive patient. The study showed hypertension found to be significantly associated with age (ᵡ 2 = 43.54, df = 4, p-value < 0.001), religion (ᵡ 2 = 15.17, df = 3 p-value = 0.001), and education (ᵡ 2 = 10.74, df = 1, p-value = 0.005) of the subjects. However, hypertension was not found to be significantly associated with sex (p-value = 0.075) and occupation (ᵡ 2 = 7.18, df = 5, p-value = 0.167) of the study subjects.9

 

CONCLUSION:

Hypertension is one of the most important cardiovascular risk factors worldwide. This study has made an effort to introduce lemon juice as a remedial and cost effective way to reduce hypertension.

 

LIMITATION OF THE STUDY:

There was drop out of clients who were selected, due to development of other health problems. The investigator had to look for additional participants.

 

The study was confined to hypertensive clients who were below 60 years.

 

RECOMMENDATIONS:

1.     The study can be replicated on the larger samples for the generalization of finding.

2.     A similar study can be conducted for a longer duration.

3.     A planned teaching program for nurses on alternate therapies for management of hypertension can be organised.

 

REFERENCES:

1.      Belachew A, et al. Prevalence and associated factors of hypertension among adult patients. Biomed Central Research Note. 2018; 87(11): 2-6.

2.      Sawase G, et al. A study of hypertension and socio demographic factors in urban slam, Maharastra. International Journal of Community Medicine and Public Health. Feb 2019; 6(2): 585-589.

3.      Guptha A, et al. Prevalence and correlation of hypertension in the rural community of DK, Karnataka, India. International Journal of Medical Science and Public Health. July 2015; 15:1-8.

4.      Siddiqui et al. Role of complimentary and alternate medicine in geriatric care. Pharmacognosy Review. Dec 2014; 8(16): 81-87.

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Received on 13.11.2019         Modified on 08.12.2019

Accepted on 31.12.2019      ©A&V Publications All right reserved

Asian J. Nursing Education and Research. 2020; 10(1):31-37.

DOI: 10.5958/2349-2996.2020.00008.7