A Descriptive Study to Assess the Knowledge and Attitude of Mothers regarding Protein Energy Malnutrition in Pre-School Children at Selected Urban Areas of Bangalore

 

Manjunath DM

Vice-Principal, Sushrusha Institue of Nursing Sciences, Daund, Pune, Maharashtra.

*Corresponding Author E-mail: santosh4u555@gmail.com

 

ABSTRACT:

Objectives: 1) To assess the knowledge and attitude of mothers regarding Protein energy malnutrition among Pre-School children in selected Urban areas of Bangalore city. 2) To assess the attitude of mothers regarding PEM in preschool children 3) To find out the association between Socio demographic variables of mothers with knowledge and attitude regarding PEM in preschool children. Methodology: The methodology of this study includes research approach and design, setting, sampling, tool construction, testing of tools, pilot study, methods of data collection, and a plan for data analysis. Results: The study also highlighted a concerning observation that 60 out of the surveyed mothers. The finding’s revealed Knowledge was positively co-related with attitude regarding PEM in Pre-school children and selected demographic variables like Age of Mothers, Past history of Malnourishment.

 

KEYWORDS: Protein energy malnutrition, Pre-school children, Knowledge, Attitude.

 

 


INTRODUCTION:

WHO has consistently regarded nutrition as central to its mandate since the Organization was established in 1948. From the earliest stages of fetal development, at birth, through infancy, childhood, adolescence, and on into adulthood and old age, proper food and good nutrition are essential for survival, physical growth, mental development, performance and productivity, health and well-being. It is an essential foundation of human and national development. Nutrition is a fundamental pillar of human life, health and development across the entire life span.

 

The fundamental WHO goal of Health for All means that people everywhere, throughout their lives, have the opportunity to reach and maintain the highest attainable level of health. This is impossible in the presence of hunger, starvation, and malnutrition.1 Child's health includes physical, mental and social well-being. Most parents know the basics of keeping children healthy, like offering them healthy foods, making sure they get enough sleep and exercise and insuring their safety. It is also important for children to get regular checkups with their health care provider. These visits are a chance to check your child's development. They are also a good time to catch or prevent problems.2

 

NEED FOR THE STUDY:

Malnutrition is globally the most important risk factor for illness and death, contributing to more than half of deaths in children worldwide; child malnutrition was associated with 54% of deaths in children in developing countries in 2001. Protein-energy malnutrition (PEM), first described in the 1920s, is observed most frequently in developing countries but has been described with increasing frequency in hospitalized and chronically ill children in the United States.3

It is very important to detect children with PEM as early as possible. It can be prevented and controlled by comprehensive approach. The mother of under-fives children could play a significant role in identifying growth and development of their children. Educating such mothers is very necessary.4

 

RESEARCH METHODOLOGY:

RESEARCH APPROACH:

A research approach tells the researcher what data to collect and how to analyze it. It also suggest possible conclusions to be drawn from the data. In view of the nature of the problem under study and to accomplish the objectives of the study. Descriptive survey approach was considered as appropriate to describe the knowledge and attitude of mothers regarding PEM in preschool children.

 

RESEARCH DESIGN:

The research design is the plan, structure and strategy of investigations, of answering the research question, is the overall plan or blue print the research selects to carry out this study.

 

The research design selected for this study is descriptive survey design. The survey is carried out for providing on accurate portrayal of knowledge and attitude of mothers regarding PEM in preschool children.

 

Setting of the Study:

This study was conducted at Kodigehalli and Sanjeevini nagar urban areas, where this areas situated in Sahakar nagar, Bangalore city.

 

Population:

The sample for the present study were 60 mothers living in Kodigehalli and Sanjeevini nagar urban areas, Bangalore were selected purposefully.

 

Sampling Technique:

Non probability sampling technique was selected based on the judgment of the researcher to achieve objectives of the research at hand. In that Purposive sampling technique, a type of non-probability sampling approach was found to be appropriate for the present study.

 

Criteria for Selecting the Sample:

The following criteria were set for selection of the sample.

 

Inclusion Criteria:

a)     Mothers who are present in the houses at the time of study

b)    Mothers who are willing to participate in the study.

c)     Mothers who know to read and understand Kannada or English.

 

Exclusion Criteria:

a)     Mothers who are not willing to participate in this study.

b)    Mothers who do not know to read and understand Kannada or English.

 

RESULTS:

Objectives of the Study:

1.     To assess the knowledge of mothers regarding PEM in preschool children.

2.     To assess the attitude of mothers regarding PEM in preschool children.

3.     To find out the association between Socio demographic variables of mothers with knowledge and attitude regarding PEM in preschool children.

 

On The Basis of Above-Mentioned Objectives, the Data Is Presented in the Four Sections:

Section-I: Frequency and percentage distribution of demographic variables of mothers.

Section II: Assessment of knowledge of mothers on the different aspects of PEM in preschool children.

Section III: Assessment of Attitude of mothers on the different aspects of PEM in preschool children.

Section IV: Assessment of association between Socio demographic variables of mother with knowledge and attitude regarding PEM in preschool children.

 

Section-I:

Table No -1: Demographic profile                                             n=60

Sl No

Demographic variables

No. of mothers

Percentage %

1

Age

18 - 22 yrs

10

16.7%

23 - 27 yrs

42

70.0%

28 - 32 yrs

8

13.3%

2

Type of family

Nuclear family

Joint family

46

14

76.7%

23.3%

3

Religion

Hindu

36

60.0%

Muslim

14

23.3%

Christian

10

16.7%

4

No. of children

One

10

16.7%

Two

42

70.0%

Three

8

13.3%

5

Educational status

Higher primary

20

33.3%

High school

22

36.7%

Pre-University

16

26.7%

Degree

2

3.3%

6

Occupation

Housewife

38

63.3%

Govt employee

14

23.3%

Self employee

8

13.3%

7

Income per month

Rs10001-15000

28

46.7%

Rs15001-20000

20

33.3%

> Rs.20000

12

20.0%

8

Type of diet

Vegetarian

24

40.0%

 

 

Mixed

36

60.0%

9

Past history of Malnutrition to your child

Yes

 10

 16.7%

No

 50

83.3%

10

Sources of Health information

Family member/friend

28

 

46.7%

 

Mass media

16

26.7%

Neighbors

8

13.3%

Health workers

8

13.3%

 

Table 1– shows the socio-demographic profiles of the mothers for the study of “A Descriptive study to assess the knowledge and attitude of mothers regarding protein energy malnutrition in pre-school children at selected urban areas of Bangalore”

 

INTERPRETATION:

The Demographic table gives the following results:

1.     In relation to the age of the mother’s data reveals that out of 60 mothers, 16.3 % were in the age group of 18-22 yrs, 70 % of the mothers were in the age group of 23-27 yrs , 13.3 % of the mothers are in the age group of 28-32 yrs.

2.     In relation to the type of family the data reveals that out of 60 mothers, 76.7% of the mothers were from nuclear family,23.3% of the mothers were from joint family.

3.     In relation to the religion of mother the data reveals that out of 60 mothers 60 % of the mothers were from Hindu family, 23.3 % of the mothers were from Muslim family, 16.7 % of the mothers were from Christian family.

4.     In relation to the No of children the data reveals that out of 60 mothers 16.7 % were having only one child, 70 % were having two children, 13.3% were having three children.

5.     In relation to the Educational status the data reveals that out of 60 mothers 33.3 % were having the education of Higher primary school, 36.7 % were having the education of High school, 26.7 % were having the education of pre-university, 3.3% were having the education of Degree.

6.     In relation to the Occupation the data reveals that out of 60 mothers 63.3 % were House wife, 23.3%were Govt employee, 13.3% were working as a self employ

7.     In relation to the Family Income per month the data reveals that out of 60 mothers 46.7 % were having income in between 10001-15000, 33.3% were having income in between Rs.15001-20000, 20% were having income of More than Rs. 20000.

8.     In relation to the Type of food the data reveals that out of 60 mothers 40 % were vegetarians, 60 % were mixed.

9.     In relation to the past history of malnutrition to your child the data reveals that out of 60 mothers 16.7% said yes and remaining 83.3% said no.

10. In relation to the Source of information, the data reveals that out of 60 mothers 46.7 % had received information from Family members and friends, 26.7 % had received information from mass media, 13.3 % had received information through neighbours, 13.3% had received information from Health workers.

1.     Age distribution:

Distribution of the mothers in relation to their age reveals that, 16.3 % were in the age group of 18-22 yrs, 70 % of the mothers were in the age group of 23-27 yrs, 13.3 % of the mothers are in the age group of 28-32 yrs.

 

2.     Type of family:

Distribution of the mothers in relation to their type of family system reveals that 76.7% of the mothers were from nuclear family, 23.3% of the mothers were from joint family.

 

3.     Religion:

Distribution of Mothers in relation to their religion reveals 60 % of the mothers were from Hindu family, 23.3 % of the mothers were from Muslim family, 16.7 % of the mothers were from Christian family.

 

4.     No. of Children:

Distribution of the mothers in relation to their No. of children the data reveals that 16.7 % were having only one child, 70 % were having two children, 13.3% were having three children.

 

5.     Educational Status:

Distribution of the mothers in relation to their educational status reveals 33.3 % were having the education of Higher primary school, 36.7 % were having the education of High school, 26.7 % were having the education of pre-university, 3.3% were having the education of Degree.

 

6.     Occupation:

Distribution of the Mothersin relation to their Occupation reveals 63.3 % were House wife, 23.3% were Govt employee, 13.3% were working as a self employ.

 

7.     Monthly income of the Family:

Distribution of the mothers in relation to their Monthly income of the Family reveals 46.7 % were having income in between 10001-15000, 33.3% were having income in between Rs.15001-20000, 20% were having income of More than Rs. 20000.

 

8.     Diet Pattern:

Distribution of the mothers in relation to their Diet Pattern reveals 40 % were vegetarians, 60 % were mixed.

 

9.     Past History of Malnutrition:

Distribution of the Mothers in relation to their past history of malnutrition in children reveals 16.7% said yes and remaining 83.3% said no

 

10. Treatment for previous lactating problems:

Distribution of the mothers in relation to the Source of information reveals 46.7 % had received information from Family members and friends, 26.7 % had received information from mass media, 13.3 % had received information through neighbours, 13.3% had received information from Health workers.

 

SECTION II

Objective 1: To assess the knowledge of mothers regarding PEM in preschool children.

 

Table 2: Percentage of Knowledge                                            N=60

Knowledge

 No. of questions

Min –Max score

Knowledge score

Mean ±SD

 %

General information

3

0 - 3

1.90±0.77

63.3%

Importance and sources of protein

6

0 - 6

2.60±0.85

43.3%

PEM and its causes

5

0 - 5

1.93±0.97

38.6%

Types and Clinical features

7

0 -7

2.32±1.08

33.1%

Prevention and control

9

0 -9

3.73±1.30

41.4%

 OVERALL

30

0 -30

12.48±2.57

41.6%

Table 2 shows the mothers percentage of knowledge on PEM in preschool children. Mothers are having Maximum knowledge in general information (63.3%), 43.3% of knowledge in Importance and sources of protein, 38.6% knowledge in PEM and its causes, 41.6% knowledge in prevention and control and minimum knowledge in Types and clinical features (33.1%). On an average overall knowledge score on PEM is 41.6% and mean score of 12.48, SD-2.57.

 

Table 3: Level of Knowledge                                                     n=60

Level of knowledge

No. of mothers

Percentage%

Inadequate

14

23.3%

Moderate

46

76.7%

Adequate

0

0.0%

Total

60

100%

 

Table No.3 shows the level of knowledge of mothers regarding PEM in preschool children. 23.3% of them having inadequate knowledge and 76.7% of them having moderate knowledge, none of them having adequate knowledge.

 

Criterion Measures: - Knowledge: 30

S. No.

Criteria

Score

1

Inadequate

0 -10

2

Moderate

11 -20

3

Adequate

21-30


SECTION- III

Objective 2: To assess the Attitude of mothers regarding PEM in preschool children.

Table 4: Each Questionwise Assessment of Attitude                                                                                                                                  n=60

Statements

0

1

2

 

n

%

n

%

n

%

1. Growth monitoring is a vital step to prevent Protein Energy Malnutrition.

24

40.0%

34

56.7%

2

3.3%

2. We should not practice continued feeding to the children during diarrheal attack

21

35.0%

9

15.0%

30

50.0%

3. We should use clean water and utensils in the preparation of food for feeding a child with protein energy malnutrition

9

15.0%

38

63.3%

13

21.7%

4. It is not required to prepare special feeding formula and food for children who have PEM

29

48.3%

21

35.0%

10

16.7%

5. It is a good practice to feed a baby with bottle feeding

19

31.7%

24

40.0%

17

28.3%

6. I believe exclusive Breast feeding up to 6 months can prevent the risk of PEM

16

26.7%

24

40.0%

20

33.3%

7. Giving supplementary foods after 6 months and continue breast feeding up to 2 years will prevent PEM

24

40.0%

16

26.7%

20

33.3%

8. I believe protein energy malnutrition is caused by deficiency of nutrients

6

10.0%

30

50.0%

24

40.0%

9. I believe, Protein energy malnutrition is not having any treatment

24

40.0%

27

45.0%

9

15.0%

10. If my child develops PEM, it is important to take to the health service setting for its management

24

40.0%

34

56.7%

2

3.3%

 


Table 5: Percentage of Attitude                                                                                                                                                 n=60

Attitude

 No. of questions

Min –Max score

Attitude score

Mean score

 %

1. Growth monitoring is a vital step to prevent Protein Energy Malnutrition.

1

0 - 2

0.63

31.5%

2. We should not practice continued feeding to the children during diarrheal attack

1

0 - 2

1.15

57.5%

3. We should use clean water and utensils in the preparation of food for feeding a child with protein energy malnutrition

1

0 - 2

1.07

53.5%

4. It is not required to prepare special feeding formula and food for children who have PEM

1

0 - 2

1.10

55.0%

5. It is a good practice to feed a baby with bottle feeding

1

0 - 2

0.68

34.0%

6. I believe exclusive Breast feeding up to 6 months can prevent the risk of PEM

1

0 - 2

0.97

48.5%

7. Giving supplementary foods after 6 months and continue breast feeding up to 2 years will prevent PEM

1

0 - 2

1.07

53.5%

8. I believe protein energy malnutrition is caused by deficiency of nutrients

1

0 - 2

0.93

46.5%

9. I believe, Protein energy malnutrition is not having any treatment

1

0 - 2

1.30

65.0%

10. If my child develops PEM, it is important to take to the health service setting for its management

1

0 - 2

0.75

37.5%

OVERALL

10

0 - 20

9.27

46.4%

 


Table 5 shows the mothers percentage of Attitude on PEM in preschool children. The overall mean score is 9.27 and they are having an average 46.4% Attitude score.

 

Table 6: Level of Attitude                                                          N=60

Level of attitude

No. of mothers

 %

Unsatisfactory

10

16.7%

Moderately satisfactory

45

75%

Satisfactory

5

8.3%

Total

60

100%

 

Table No.6 shows the mothers level of attitude on PEM. 16.7% of them having unsatisfactory attitude and 75.0% of them having moderately satisfactory attitude and 8.3% of them having satisfactory attitude.

 

Criterion Measures: Attitude: 20

S. No.

Criteria

Score

1

Unsatisfactory

0 -6

2

Moderately satisfactory

7 -12

3

Satisfactory

13-20

 


Table 7: Correlation Between Knowledge and Attitude

Areas

Mean±SD

Karl pearson correlation

coefficient

Interpretation

Knowledge

12.48±2.57

r=0.33 P=0.02*

significant, positive, fair correlation between knowledge and attitude.

Attitude

9.27±1.79

 

It means when knowledge increases their attitude score also increases fairly


significant at P≤0.05 ** highly significant at P≤0.01 *** very high significant at P≤0.001

 


Interpretation for r-value

Pearson correlation coefficient is denoted by “r”

“r” always lies between -1 to +1

0.0 – 0.2 poor correlation

0.2 - 0.4 fair correlation

0.4 - 0.6 moderate correlation

0.6 – 0.8 substantial correlation

0.8 - 1.0 strong correlation

 

Table- 7 shows the Correlation between Knowledge and Attitude of Mothers regarding PEM in preschool children.

In the area of correlation between knowledge and attitude the mothers shows significant, positive, fair correlation. The researcher prediction says, when knowledge increases their attitude score also increases fairly.

 

SECTION- IV:

Objective 3: To find out the association between Socio demographic variables of mothers with knowledge and attitude regarding PEM in preschool children.


 

Table 8: Association Between Level of Knowledge and Demographic Variables

Demographic variables

Level of knowledge

Total

Chi square test

Inadequate

Moderate

n

%

n

%

Age

18 - 22 yrs

6

60.0%

4

40.0%

10

c2=9.08 P=0.01** DF=2, significant

 

23 - 27 yrs

7

16.7%

35

83.3%

42

 

28 - 32 yrs

1

12.5%

7

87.5%

8

Type of family

Nuclear family

12

26.1%

34

73.9%

46

c2=0.83 P=0.36 DF=2, not significant

 

Joint family

2

14.3%

12

85.7%

14

Religion

Hindu

8

22.2%

28

77.8%

36

c2=2.21 P=0.33 DF=2, not significant

 

Muslim

5

35.7%

9

64.3%

14

 

Christian

1

10.0%

9

90.0%

10

No. of children

One

3

30.0%

7

70.0%

10

c2=1.57 P=0.45 DF=2, not significant

 

Two

8

19.0%

34

81.0%

42

 

Three

3

37.5%

5

62.5%

8

Educational status

Higher primary

9

45.0%

11

55.0%

20

c2=8.79 P=0.03* DF=2, significant

 

 

High school

4

18.2%

18

81.8%

22

 

Pre-University

1

6.3%

15

93.7%

16

 

Degree

0

0.0%

2

100.0%

2

Occupation

Housewife

10

26.3%

28

73.7%

38

c2=0.84 P=0.66 DF=2, not significant

 

Govt employee

2

14.3%

12

85.7%

14

 

Self employee

2

25.0%

6

75.0%

8

Income per month

Rs10001-15000

3

10.7%

25

89.3%

28

c2=4.68 P=0.10 DF=2, not significant

 

Rs15001-20000

7

35.0%

13

65.0%

20

 

> Rs.20000

4

33.3%

8

66.7%

12

Type of diet

Vegetarian

8

33.3%

16

66.7%

24

c2=2.23 P=0.13 DF=2, not significant

 

Mixed

6

16.7%

30

83.3%

36

Past history of Malnutrition to your child

Yes

0

0.0%

10

100.0%

10

c2=5.98 P=0.01* DF=2, significant

 

No

14

28.0%

36

72.0%

50

Sources of Health information

Family member/friend

5

17.9%

23

82.1%

28

c2=3.85 P=0.27 DF=2, not significant

 

 

Mass media

3

18.8%

13

81.3%

16

 

Neighbors

2

25.0%

6

75.0%

8

 

Health worker

4

50.0%

4

50.0%

8

 


Table no 8 shows the association between demographic variables of the mothers and their level of knowledge. Age, education, past history of malnutrition are significantly associated with their level of knowledge. Association between demographic variables and their level of knowledge was analyzed using pearson chisquare test

 

Hypothesis Testing:

H1 - There will be significant association between knowledge score of the mothers with their selected demographic variables regarding PEM in preschool children.

 

 

·       Age of the mother is having the significant association with the knowledge score at 5% level .(’P’ value =0.001, c2 value =9.08)

·       Educational status of the mothers is having significant association with the knowledge score at 5% level (P=0.03, c2 value=8.79)

·       Past history of malnutrition to their children is having significant association with knowledge score at 5% level. (P=0.01, c2=5.98)

·       Type of family, religion, No. of children, occupation, type of diet, and Family income, source of information are not having significant association with the knowledge scores.

 


Table 9: Association Between Level of Attitude and Demographic Variables

Demographic variables

Level of Attitude

Total

Chi square test

 

Unsatisfactory

Moderate

Satisfactory

 

n

%

n

%

n

%

1. Age

18 - 22 yrs

4

40.0%

6

60.0%

0

0.0%

10

c2=13.03 P=0.01* DF=2, significant

 

23 - 27 yrs

5

11.9%

35

83.3%

2

4.8%

42

 

28 - 32 yrs

1

12.5%

4

50.0%

3

37.5%

8

2.Type of family

Nuclear family

8

17.4%

33

71.7%

5

10.9%

46

c2=1.86 P=0.39 DF=2, not significant

 

Joint family

2

14.3%

12

85.7%

0

0.0%

14

3.Religion

Hindu

9

25.0%

24

66.7%

3

8.3%

36

c2=6.37 P=0.17

DF=2, not significant

 

Muslim

0

0.0%

12

85.7%

2

14.3%

14

 

Christian

1

10.0%

9

90.0%

0

0.0%

10

4.No. of children

One

1

10.0%

7

70.0%

2

20.0%

10

c2=4.82 P=0.31 DF=2, not significant

 

Two

9

21.4%

31

73.8%

2

4.8%

42

 

Three

0

0.0%

7

87.5%

1

12.5%

8

5.Educational status

Higher primary

6

30.0%

14

70.0%

0

0.0%

20

c2=12.93 P=0.05* DF=2, significant

 

High school

4

18.2%

16

72.7%

2

9.1%

22

 

Pre-University

0

0.0%

14

87.5%

2

12.5%

16

 

Degree

0

0.0%

1

50.0%

1

50.0%

2

6.Occupation

Housewife

7

18.4%

26

68.4%

5

13.2%

38

c2=4.87 P=0.30 DF=2, not significant

 

Govt employee

1

7.1%

13

92.9%

0

0.0%

14

 

Self employee

2

25.0%

6

75.0%

0

0.0%

8

7.Income per month

Rs10001-15000

4

14.3%

20

71.4%

4

14.3%

28

c2=9.77 P=0.04 DF=2, not significant

 

Rs15001-20000

1

5.0%

18

90.0%

1

5.0%

20

 

> Rs.20000

5

41.7%

7

58.3%

0

0.0%

12

8.Type of diet

Vegetarian

4

16.7%

19

79.2%

1

4.2%

24

c2=0.92 P=0.62 DF=2, not significant

 

Mixed

6

16.7%

26

72.2%

4

11.1%

36

9.Past history of Malnutrition to your child

Yes

1

10.0%

8

80.0%

1

10.0%

10

c2=7.44 P=0.02*DF=2, significant

 

No

9

18.0%

37

74.0%

4

8.0%

50

10.Sources of Health information

Family member/friend

2

7.1%

25

89.3%

1

3.6%

28

c2=9.42 P=0.14 DF=2, not significant

 

Mass media

3

18.8%

10

62.5%

3

18.8%

16

 

Neighbors

2

25.0%

6

75.0%

 

 

8

 

Health worker

3

37.5%

4

50.0%

1

12.5%

8

 


Table no 9 shows the association between demographic variables and mothers’ level of attitude. Age of the mothers, educational status, past history of malnutrition to their children are significantly associated with their level of attitude. Association between demographic variables and their level of attitude was analyzed using pearson chisquare test

 

Hypothesis Testing:

H 2: There will be a significant association between Attitude score of the mothers with their selected demographic variables regarding PEM in preschool children.

·       Age of the mother is having the significant association with the attitude score at 5% level (’P’ value =0.001, c2 value =13.03)

·       Education status of mother is having significant association with the attitude score at 5% level (P=0.05, c2 value=12.93)

·       Past history of malnutrition to their children is having significant association with attitude score at 5% level. (P=0.02, c2=57.44)

·       Type of family, religion, No. of children, occupation, type of diet, and family income, source of information are not having significant association with the attitude scores.

 

REFERENCES:

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Received on 13.03.2024         Revised on 05.11.2024

Accepted on 08.04.2025         Published on 21.05.2025

Available online from May 23, 2025

Int. J. of Advances in Nursing Management. 2025;13(2):97-103.

DOI: 10.52711/2454-2652.2025.00020

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