Growth status of preschool children with a view to create a motivational song on growth promotion for preschoolers

 

Shilpa. S1*, Dilshad Ali2, Jismol Thomas2, Jincy Eldhose2, Fifanciya CJ2, Hafeela CT2, Drisya T K2, Lijina A P2

1Lecturer, Almas College of Nursing, Kerala

2Third Year BSc Nursing Students, Almas College of Nursing, Kerala

*Corresponding Author Email: shilpashine9@gmail.com

 

ABSTRACT:

A quantitative approach non experimental descriptive exploratory research design was used for the study. 30 samples from selected anganwadies of Ponmala panchayath were selected by non probability purposive sampling technique. Socio demographic data were assessed using socio-demographic performa. Data were analysed and interpreted by descriptive and inferential statistics. Data collection tool were standardized growth chart, Gomez classification for degree of malnutrition, and structured interview schedule. Results and conclusion: The analysis revealed that, 33.3% preschool children have normal height and 30 % children have severe under height, 30% preschool children have normal weight and 43.33% children have severe under weight, 66.07 % preschool children have normal mid arm circumference and 3.34% children have severe under mid arm circumference, 53.33% preschool children have healthy weight, 30% preschool children have normal nutritional status and 80 % children have moderate malnutrition. There is a significant association between socio-demographic variables with growth status and nutritional status (p value<0.05).

 

KEYWORDS: Assessment, Growth status, Preschool children, Motivational song.

 

 


INTRODUCTION:

Children are gift from the God, they are reward from him. They are the world's most valuable resources and it's best hope for future1. Growth is an essential feature that distinguishes a child from an adult. The process of growth starts from the time conception and continues until the child grows into a fully mature adult. During the early embryonic period of life2. An exponential increase in the number of cells occurs. At the early embryonic stage, Fetal cells divide and differentiate to form tissues and organs in later half of pregnancy and early childhood, there is an additionally an increase in the cell size.

 

The cell size continues to enlarge until about ten year of age. After that increase in the cell size occurs rather slowly3. Good nutrition help to improve child survival to promote healthy growth and development to contribute to better cognitive and economic development4. To reduce the morbidity and mortality rate and the risk of chronic diseases, cardiovascular disease, DM, kwashiorkor, marasmus, Hypertension. It has often being leading in the qualitative andquantitative point of view regulating in occurrence of malnutrition5.

 

STATEMENT OF PROBLEM:

A study to assess the Growth status of preschool children in a selected anganwadies of Ponmala panchayath, in Malappuram with a view to create a motivational song on growth promotion for preschoolers.

 

OBJECTIVES:

·       To assess the growth status of preschool children.

·       To assess the nutritional status of preschool children.

·       To associate the growth status of preschool children with selected socio-demographic variables.

·       To associate the nutritional status of preschool children with selected socio-demographic variables.

·       To assess the effect of motivational song on growth promotion of preschool children.

 

ASSUMPTION:

·       The growth status of the preschoolers in the selected community may vary from the WHO standards of growth.

·       Singing the motivational song frequently may help to faster food intake and thereby promote nutritional status.

 

METHODOLOGY:

A quantitative approach non experimental descriptive exploratory research design was choosen for the study. The sample comprised of 30 preschoolers in a selected Anganawadi of Ponmala panchayath, Kerala, India by Non probability purposive sampling technique was used in this study. After taking the consent, Socio demographic data were assessed using socio-demographic performa, Growth status by WHO growth assessment chart for assessing growth status, Degree of malnutrion by Gomez formula. Data was analyzed and interpreted by using descriptive and inferential statistics.

 

Analysis and interpretation:

Section I–Distribution of socio demographic characteristics of preschool children (n=30)

 

Figure 1: Percentage distribution of preschool children based on age

 

Figure 1 shows 3.33 % of preschool children are belongs to the age group of 3 –3.5 years, 33.33 % from the age group of 3.5 – 4 years, 6.67 % preschool children belongs to 4 – 4.5 years and 56.67% children are among the age group of 4.5 – 5 years. (n=30)

 

Figure 2: Percentage distribution of preschool children based on gender

 

Figure 2 shows that 50% of the study participants are females and remaining 50% are male.

 

Table 1 - Frequency and percentage distribution of preschool children based on Type of the family, Income of the family and Occupation of the parents, Type of dietary pattern , Delivery and Birth order of child, number of siblings, duration of breast feeding, weaning started, any previous history of infections or infestations, any behavioral disorders, any other nutritional supplementations. (n = 30)

Variable

Category

Frequency

(f)

Percentage (%)

Type of the family

Joint family

10

33.33 %

 

Nuclear family

20

66.67 %

Income of the family

Below 5000

16

53.33 %

 

Rs.5001–10000

11

36.67 %

 

Rs.10001–20000

3

10 %

Occupation of parents

Private employee

25

83.33 %

 

Home maker

5

16.67 %

Type of dietary pattern

Mixed

30

100%

Delivery

Preterm

3

10 %

 

Term

27

90 %

Birth order of child

First

9

30 %

 

Second

5

16.67 %

 

Third

11

36.67 %

 

Forth and above

5

16.67 %

Number of siblings

1

10

33.33 %

 

2

7

23.33 %

 

3

6

20 %

 

4 and above

1

3.33 %

 

Nil

6

20 %

Duration of breast feeding

1 Year

1

3.33 %

 

1.5 Year

2

6.67 %

 

2 Year

27

90 %

Age at which weaning started

3 rd month

6

20 %

Any previous history of infections or infestations for the child

Yes

15

50 %

No

15

50 %

Did the child have any behavioural disorder

Pica

Nail biting

1

1

3.33 %

3.33 %

 

Temper tantrum

10

33.33 %

 

Tics

1

3.33 %

 

Both B and C

3

10 %

 

A, B and C

1

3.33 %

 

Nil

13

43.33 %

Any other nutritional supplementations

Amrutham powder

15

50 %



SectionII– Assessment of growth status of preschoolers by using WHO growth charts

Table 2 - Frequency and percentage distribution of preschool children based on height (n = 30)

Growth status

Frequency (f0

Percentage (%)

Severe under height

9

30 %

Moderate under height

10

33.33 %

Normal height

10

33.33 %

Severe under weight

13

43.33%

Moderate under weight

8

26.67 %

Normal weight

9

30 %

Severe under mid arm circumference

1

3.34 %

Moderate under mid arm circumference

7

23.33 %

Normal mid arm circumference

20

66.67 %

Moderate over mid arm circumference

2

6.67%

Severe under mid arm circumference

1

3.34 %

Under weight

14

46.66 %

Healthy weight

16

53.33 %

 

Section III –Assessment of nutritional status by using Gomez formula.(n=30):

 

Figure 3 shows that 50 % are having mild malnutrition, 30 % having normal nutrition and remaining 20 % of preschool children having moderate malnutrition

 

 


Section IV– Association of growth status of preschool children by using WHO growth chart with selected socio–demographic variables.

Table 3- Association of growth status by means of weight by using WHO growth chart with selected socio–demographic variables.

(n = 30)

Variables

 

Category

 

 

df

Chisquare

Pvalue

 

Severe undr wt

Modrt undr wt

Norml wt

Moderate over wt

 

 

 

Age in year

 

 

 

 

 

 

 

3–3.5 Years

4

2

4

0

9

23.59

0.0049*

3.5–4 Years

0

0

1

1

 

 

 

4–4.5 Years

5

4

3

0

 

 

 

4.5–5 Years

3

3

0

0

 

 

 

Gender of the child

 

 

 

 

 

 

 

Male

5

4

5

1

3

1.442

0.695

Female

7

5

3

0

 

 

 

Type of the family

 

 

 

 

 

 

 

Joint family

5

3

2

0

3

0.797

0.850

Nuclear family

7

6

6

1

 

 

 

Income of the family

 

 

 

 

 

 

 

Below 5000

9

3

4

0

6

6.652

0.354

5001–10000

2

5

3

1

 

 

 

10001–20000

1

1

1

0

 

 

 

Occupation of the parent

 

 

 

 

 

 

 

Private employee

10

7

7

1

3

0.330

0.954

Home maker

2

2

1

0

 

 

 

Delivery

 

 

 

 

 

 

 

Preterm

0

3

0

0

3

5.676

0.128

Term

12

6

8

1

 

 

 

Birth order of the child

 

 

 

 

 

 

 

First

4

1

3

1

9

6.741

0.664

Second

3

1

1

0

 

 

 

Third

3

5

3

0

 

 

 

Fourth and above

2

2

1

0

 

 

 

Number of siblings

 

 

 

 

 

 

 

1

3

5

1

0

9

14.96

0.092

2

2

2

3

0

 

 

 

3

2

1

1

0

 

 

 

Nil

5

1

3

1

 

 

 

Duration of breast feeding

 

 

 

 

 

 

 

1 Year

1

0

0

0

6

3.199

0.783

1.5 Years

2

0

0

0

 

 

 

2 Years

9

9

8

1

 

 

 

Age at which weaning started

 

 

 

 

 

 

 

3rd month

3

3

0

0

6

1.799

0.937

6th month

8

5

7

1

 

 

 

9th month

1

1

1

0

 

 

 

Any previous history of infections or infestations

 

 

 

 

 

 

 

Yes

5

6

3

1

3

2.332

0.506

No

7

3

5

0

 

 

 

Any behavioural disorders

 

 

 

 

 

 

 

Pica

0

1

0

0

9

8.525

0.482

Nail biting and temper tantrum

8

5

2

0

 

 

 

A, B, and C

0

0

0

1

 

 

 

Nil

4

3

6

0

 

 

 

Any other nutritional supplementations

 

 

 

 

 

 

 

Amrutham powder

4

4

5

1

3

20.77

0.00011*

Nil

8

5

3

0

 

 

 

 

Table 3 shows that there is a significant association between weight of the preschool children with age (p value <0.05) and weight of the preschool children with any other nutritional supplementations (p value<0.05).

 

Section V -Association of growth status by means of height by using WHO growth chart with selected socio–demographic variables.

Table 4- Section deals with the analysis of association between height of preschool children with Age, Gender and Type of the family.

(n = 30)

Variables

 

Category

 

df

Chisquare

Pvalue

 

Sevr undr wt

Modrt undr wt

Norm wt

 

 

 

Age in year

 

 

 

 

 

 

3–3.5 Years

5

2

3

6

6.52

0.367

3.5–4 Years

0

0

2

 

 

 

4–4.5 Years

4

5

3

 

 

 

4.5–5 Years

1

1

4

 

 

 

Gender of the child

 

 

 

 

 

 

Male

3

3

8

2

4.721

0.094

Female

7

6

3

 

 

 

Type of the family

 

 

 

 

 

 

Joint family

3

4

7

2

20.238

0.00004*

Nuclear family

7

5

4

 

 

 

Income of the family

 

 

 

 

 

 

Below 5000

6

5

5

4

4.032

0.401

5001–10000

3

8

0

 

 

 

10001–20000

0

2

1

 

 

 

Occupation of the parent

 

 

 

 

 

 

Private employee

8

4

12

2

5.1

0.07

Home maker

2

4

0

 

 

 

Delivery

 

 

 

 

 

 

Preterm

1

0

2

2

0.801

0.669

Term

9

8

10

 

 

 

Birth order of the child

 

 

 

 

 

 

First

4

3

2

6

3.136

0.791

Second

2

0

3

 

 

 

Third

2

4

5

 

 

 

Fourth and above

2

1

2

 

 

 

Number of sibblings

 

 

 

 

 

 

1

4

1

4

6

8.454

0.206

2

1

4

2

 

 

 

3

3

3

1

 

 

 

Nil

2

0

5

 

 

 

Duration of breast feeding

 

 

 

 

 

 

1 Year

1

0

0

4

7.743

0.101

1.5 Years

1

1

0

 

 

 

2 Years

8

7

12

 

 

 

1.5 Years

1

1

0

 

 

 

2 Years

8

7

12

 

 

 

Age at which weaning started

 

 

 

 

 

 

3rd month

3

2

1

4

4.046

0.399

6th month

7

4

10

 

 

 

9th month

0

2

1

 

 

 

Any previous history of infections or infestations

 

 

 

 

 

 

Yes

6

5

4

2

0.8

0.67

No

4

5

6

 

 

 

Any behavioural disorders

 

 

 

 

 

 

Pica

0

0

1

6

12.229

0.05

Nail biting and temper tantrum

4

9

2

 

 

 

A, B, and C

1

0

0

 

 

 

Nil

5

1

7

 

 

 

Any other nutritional supplementations

 

 

 

 

 

 

Amrutham powder

1

7

5

2

8.252

0.016*

Nil

9

3

5

 

 

 

 

Table 4 shows that there is a significant association between height of the preschool children with type of the family (p value<0.05) and with nutritional supplementations (p value<0.05).

 

Section VI- Association of growth status by means of mid arm circumference by using WHO growth chart with selected socio–demographic variables.

Table 5- Section deals with the analysis of association between mid arm circumference of preschool children with Age, Gender and Type of the family.  (n = 30)

Variables

 

Category

 

df

Chisquare

Pvalue

 

Sevr undrmidarm circm

Modrte under circumfernce

Norml mid arm circumfrnc

 

 

 

Age in year

 

 

 

 

 

 

3–3.5 Years

1

3

6

6

18.654

0.0047*

3.5–4 Years

0

0

2

 

 

 

4–4.5 Years

0

3

9

 

 

 

4.5–5 Years

0

2

4

 

 

 

Gender of the child

 

 

 

 

 

 

Male

0

2

13

3

4.09

0.129

Female

2

6

8

 

 

 

Type of the family

 

 

 

 

 

 

Joint family

0

4

6

2

1.78

0.410

Nuclear family

7

6

6

 

 

 

Income of the family

 

 

 

 

 

 

Below 5000

0

4

12

4

17.84

0.0013*

5001–10000

1

3

7

 

 

 

10001–20000

0

1

2

 

 

 

Occupation of the parent

 

 

 

 

 

 

Private employee

1

5

19

2

1.57

0.456

Home maker

0

3

2

 

 

 

Delivery

 

 

 

 

 

 

Preterm

0

2

1

2

2.44

0.295

Term

1

6

20

 

 

 

Income of the family

 

 

 

 

 

 

Below 5000

0

4

12

4

17.84

0.0013*

5001–10000

1

3

7

 

 

 

10001–20000

0

1

2

 

 

 

Occupation of the parent

 

 

 

 

 

 

Private employee

1

5

19

2

1.57

0.456

Birth order of the child

 

 

 

 

 

 

First

1

3

5

9

4.72

0.858

Second

0

1

4

 

 

 

Third

0

3

8

 

 

 

Fourth and above

0

1

4

 

 

 

Number of sibblings

 

 

 

 

 

 

1

0

3

5

9

8.10

0.524

2

0

3

5

 

 

 

3

0

1

3

 

 

 

Nil

1

1

8

 

 

 

Duration of breast feeding

 

 

 

 

 

 

1 Year

0

0

1

4

22.02

0.00019*

1.5 Years

1

0

1

 

 

 

2 Years

0

1

2

 

 

 

Age at which weaning started

 

 

 

 

 

 

3rd month

1

1

4

4

27.7

0.000014*

6th month

0

6

15

 

 

 

9th month

0

1

2

 

 

 

Any previous history of infections or infestations

 

 

 

 

 

 

Yes

0

2

13

2

4.18

0.123

No

1

6

8

 

 

 

Any behavioural disorders

 

 

 

 

 

 

Pica

0

0

1

6

43.67

0.00001*

Nail biting and temper tantrum

0

4

11

 

 

 

A, B, and C

1

0

0

 

 

 

Nil

0

4

9

 

 

 

Any other nutritional supplementations

 

 

 

 

 

 

Amrutham powder

0

3

11

2

1.86

0.394

Nil

1

5

10

 

 

 

 

Table 5 shows that there is a significant association between mid arm circumference of preschool children with age in year (p value<0.05), income of the family (p value<0.05), duartion of breast feeding (pvalue<0.05), age at which weaning started (pvalue <0.05) and any behavioural disorder (pvalue<0.05).

 

Section VII- Association of growth status by means of BMI by using WHO growth chart with selected socio–demographic variables.

Table 6- Section deals with the analysis of association between BMI of preschool children with Age, Gender and Type of the family.

(n = 30)

Variables

 

Category

 

 

df

Chisquare

Pvalue

 

Sevr undr wt

Undr wt

Norml wt

Ovr wt

 

 

 

Age in year

 

 

 

 

 

 

 

3–3.5 Years

1

4

5

0

9

13.338

0.147

3.5–4 Years

1

0

0

1

 

 

 

4–4.5 Years

1

6

5

0

 

 

 

4.5–5 Years

0

1

4

1

 

 

 

Gender of the child

 

 

 

 

 

 

 

Male

3

4

7

1

3

2.73

0.435

Female

1

4

10

0

 

 

 

Type of the family

 

 

 

 

 

 

 

Joint family

0

4

6

0

3

2.3256

0.507

Nuclear family

2

6

10

2

 

 

 

Income of the family

 

 

 

 

 

 

 

Below 5000

3

7

5

1

6

14.3434

0.026*

5001–10000

0

0

8

1

 

 

 

10001–20000

0

1

1

0

 

 

 

Occupation of the parent

 

 

 

 

 

 

 

Private employee

4

10

11

0

3

1.208

0.751

Home maker

0

2

13

0

 

 

 

Delivery

 

 

 

 

 

 

 

Preterm

0

1

2

0

3

10.941

0.012*

Term

5

10

12

0

 

 

 

Birth order of the child

 

 

 

 

 

 

 

First

0

2

6

1

9

28.503

0.000756*

Second

1

2

2

0

 

 

 

Third

1

7

3

0

 

 

 

Fourth and above

1

0

3

1

 

 

 

Number of sibblings

 

 

 

 

 

 

 

1

2

4

3

0

9

18.33

0.031*

2

0

3

3

1

 

 

 

3

1

1

2

0

 

 

 

Nil

0

3

6

0

 

 

 

Duration of breast feeding

 

 

 

 

 

 

 

1 Year

0

1

0

1

6

24.4303

0.000435*

1.5 Years

0

1

1

1

 

 

 

2 Years

3

9

13

0

 

 

 

Age at which weaning started

 

 

 

 

 

 

 

3rd month

2

1

3

0

9

19.053

0.024*

6th month

1

10

9

1

 

 

 

9th month

 

0

0

2

1

 

 

 

Any previous history of infections or infestations

 

 

 

 

 

 

 

Yes

1

4

9

1

3

2.8644

0.413

No

2

7

5

1

 

 

 

Any behavioural disorders

 

 

 

 

 

 

 

Pica

0

1

0

0

9

18.0651

0.034*

Nail biting and temper tantrum

3

9

3

0

 

 

 

A, B, and C

0

0

1

0

 

 

 

Nil

0

1

10

2

 

 

 

Any other nutritional supplementations

 

 

 

 

 

 

 

Amrutham powder

1

6

7

0

3

2.3

0.512

Nil

2

5

7

2

 

 

 

 

Table 6 shows that there is a significant association between BMI of preschool children with income of the family and delivery (pvalue<0.05), birth order of the child, number of siblings and duration of breast feeding (pvalue<0.05), age at which weaning started (pvalue<0.05, any behavioural disorders (pvalue<0.05).

 

Section VIII –Association of nutritional status of preschool children with selected socio–demographic variables.

Table 7 - Section deals with the analysis of association of nutritional status of preschool children with Age, Gender and Type of the family. (n = 30)

Variables

 

Category

 

df

Chisquare

Pvalue

 

Norml

Mild

Modrate

 

 

 

Age in year

 

 

 

 

 

 

3–3.5 Years

3

5

2

6

7.564

0.271

3.5–4 Years

2

0

0

 

 

 

4–4.5 Years

3

8

1

 

 

 

4.5–5 Years

1

2

3

 

 

 

Gender of the child

 

 

 

 

 

 

Male

6

7

2

2

1.732

0.420

Female

3

8

4

 

 

 

Type of the family

 

 

 

 

 

 

Joint family

2

6

2

2

1.293

0.523

Nuclear family

7

9

4

 

 

 

Income of the family

 

 

 

 

 

 

Below 5000

2

8

6

4

6.514

0.163

5001–10000

6

5

0

 

 

 

10001–20000

1

2

0

 

 

 

Occupation of the parent

 

 

 

 

 

 

Private employee

8

12

5

2

0.319

0.852

Home maker

1

3

1

 

 

 

Delivery

 

 

 

 

 

 

Preterm

1

2

0

2

1.657

0.436

Term

8

13

6

 

 

 

Birth order of the child

 

 

 

 

 

 

First

3

3

3

6

2.955

0.814

Second

1

3

1

 

 

 

Third

3

7

1

 

 

 

Fourth and above

2

2

1

 

 

 

Number of siblings

 

 

 

 

 

 

1

2

4

3

6

8.926

0.177

2

2

4

1

 

 

 

3

2

1

1

 

 

 

Nil

3

6

1

 

 

 

Duration of breast feeding

 

 

 

 

 

 

1 Year

0

1

0

4

0.832

0.934

1.5 Years

0

2

0

 

 

 

2 Years

9

12

6

 

 

 

 

Table 7 shows that there is a significant association between nutritional status of preschool children with age at which weasning started (pvalue<0.05)

 

Table 8- Section deals with the analysis of association between nutritional status of preschool children with Age at which weaning started and any previous history of infection or infestations for the child. (n = 30)

Variables

 

Category

 

df

Chisquare

Pvalue

 

Svr undr wt

Modrt undr wt

Norml wt

 

 

 

Age at which weaning started

 

 

 

 

 

 

3rd month

0

4

2

4

14.354

0.006247*

6th month

7

10

4

 

 

 

9th month

2

1

0

 

 

 

Any previous history of infections or infestations

 

 

 

 

 

 

Yes

7

7

1

2

5.505

0.06

No

2

8

5

 

 

 

Any behavioural disorders

 

 

 

 

 

 

Pica

0

0

1

6

13.47

0.036*

Nail biting and temper tantrum

4

5

2

 

 

 

A, B, and C

1

0

0

 

 

 

Nil

4

6

3

 

 

 

Any other nutritional supplementations

 

 

 

 

 

 

Amrutham powder

3

9

2

2

1.3192

0.517

Nil

6

6

4

 

 

 

Any behavioural disorders

 

 

 

 

 

 

Pica

0

0

1

6

13.47

0.036*

Nail biting and temper tantrum

4

5

2

 

 

 

A, B, and C

1

0

0

 

 

 

Nil

4

6

3

 

 

 

Any other nutritional supplementations

 

 

 

 

 

 

Amrutham powder

3

9

2

2

1.3192

0.517

Nil

6

6

4

 

 

 

 

Table 8 shows that there is a significant association between nutritional status of preschool children with any behavioural disorders (pvalue<0.05).

 

 


Section IX –Assessment of effectiveness of motivational song on growth promotion of preschool children

Table 9- Frequency and percentage distribution of preschool children based on effectiveness of motivational song on growth promotion. (n = 30)

Variables

Category

Frequency (f)

Percentage (%)

Weight status of the child

Increased

5

16.67 %

No change

25

83.33 %

Ability to recall the song

Not able to recall

28

93.33 %

Partially able to recall

2

6.66 %

Attitude towards the motivational song

Interested

Partially interested

15

15

50 %

50 %

 

CONCLUSION:

33.3 % preschool children have normal height and 30% children have severe under height. 30% preschool children have normal weight and 43.33% children have severe under weight, 66.07% preschool children have normal mid arm circumference and 3.34% children have severe under mid arm circumference, 53.33% preschool children have healthy weight, 30% preschool children have normal nutritional status and 80% children have moderate malnutrition, There is a significant association between socio-demographic variables with growth status and nutritional status (pvalue<0.05).

 

REFERENCE:

1.     National Nutrition monitoring Bureau. Reports. Hyderabad: National Institute of Nutrion, Indian Council of Medical Research, 2001.

2.     Deaton A, Dreze J.Food and nutrition in India:facts and interpretations.Econ polit Wkly 2009;7:42-65.

3.     Maitra P, Rammohan A, Ray R, Robitaille M-C. Food consumption patterns and malnourished Indian children: is there a link? Discussion Paper no. 19/10. Department of Economics, Monash University, 2010.

4.     National Nutrition Monitoring Bureau (NNMB). 1979- 2006. NNMB Reports. National Institute of Nutrition, Hyderabad, 2006.

5.     Bharati S, Pal M, Bharati P. Determinants of nutritional status of pre-school children in India. J Biosoc Sci 2008; 40:801–14.

 

 

 

Received on 03.03.2020          Modified on 08.04.2020

Accepted on 29.04.2020      ©AandV Publications All right reserved

Asian J. Nursing Education and Research. 2020; 10(3): 275-282.

DOI: 10.5958/2349-2996.2020.00058.0