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Year : 2015 Month : January Volume : 4 Issue : 10 Page : 1598-1605

SOCIODEMOGRAPHIC CORRELATES OF MALNUTRITION AMONG SCHOOL AGED CHILDREN IN AN URBAN SLUM IN INDIA: A CROSS SECTIONAL STUDY

Ranu Rawat1, Santosh Kumar2, Anil Bindhu S3

1. Assistant Professor, Department of Community Medicine, Sree Gokulam Medical College and Research Foundation, Venjaramoodu, Trivandrum, Kerala, India.
2. Registrar, Department of General Surgery, Kerala Institute of Medical Sciences, Trivandrum, Kerala, India.
3. Professor, Department of Community Medicine, Sree Gokulam Medical College and Research Foundation, Venjaramoodu, Trivandrum, Kerala, India.

CORRESPONDING AUTHOR

Dr. Ranu Rawat,
Email : drranurawat09@gmail.com

ABSTRACT

CORRESPONDING AUTHOR:
Dr. Ranu Rawat,
Flat No. D-5, Rubicon Mansions,
Opposite Metro Scans and Laboratory,
Ulloor-695011.
E-mail: drranurawat09@gmail.com

ABSTRACT: Children in the age group of 5-14 years are regarded as of school age.1 A recent estimate (1996-2005), in developing world, states that approximately 146 million children are underweight, 39% of whom live in India.2 Malnutrition comprises of both under nutrition as well as over nutrition. While under nutrition in children has always been of high magnitude in developing countries ,over weight and obesity is also increasing in prevalence because of improvements in socioeconomic conditions and rapid urbanization the so called 'nutrition transition'.3

KEYWORDS: Nutritional status, malnutrition, children, obesity.

INTRODUCTION: Children in the age group of 5 - 14 years are regarded as of school age.1 Nutritional status is the condition of health of an individual as influenced by nutrient intake and utilization in the body.2 The science of nutrition developed partly from the study of diseases brought about by insufficient and incomplete diets.Malnutrition has been defined as "a pathological state resulting from a relative or absolute deficiency or excess of one or more essential nutrients". It comprises four forms i.e. ­under nutrition, over nutrition, imbalance and specific deficiency of nutrients.3 In developing countries like India malnutrition is rampant affecting a large segment of population. Also commonly seen are various micro and macronutrient deficiencies which are of grave concern. Children are the worst sufferers of any kind of malnutrition. At one end of the spectrum are the majority of children suffering from under nutrition.

At the other end are the urban children among whom overweight and obesity is markedly increasing due to excessive consumption of energy-dense junk foods which is completely devoid of nutrition otherwise and only provides the so called “empty calories”.4 This is the so called ‘nutrition transition’ in developing countries whereby costlier and unhealthy fast food is replacing the traditional cheaper and nutritious food.5 Children are also adopting sedentary lifestyles due to the habit of watching T.V. and using computers thereby giving less time to outdoor playing which further inflates the prevalence of overweight among them.

It is imperative that tremendous importance be given to the nutrition of school age children as it lays the foundation of lifelong good health in them. A popular adage is that a healthy mind lies in a healthy body. Only children with sound health can give positive intellectual contribution to the society and become future valuable nation builders.

There is a genuine dearth of community based studies which throw light on the nutritional status of school aged children. Hence this study was undertaken at the community level with the following objectives:

  1. To study the prevalence of malnutrition in children aged 5-14 years and.
  2. To study the various sociodemographic factors associated with malnutrition in these children.

 

MATERIAL AND METHODS:

Study Design: Cross-sectional study.

Study Setting: The present study was conducted in a slum area in families having children in the age group of 5-14 years which were registered at Urban Health Training Centre of LLRM Medical College, Meerut.

Study Subjects: Children of registered families aged 5-14 years.

Study Period: The data for this study was collected from February 2011 to June 2011.

Sample Size: It was calculated using the formula . By taking prevalence of under nutrition in school aged children as 50% with a relative precision of 10% and α error 5%, an optimum sample size for study was calculated as 400.

Sampling Technique: There were 1867 registered families having children in the age group of 5-14 years. Children were selected by simple random sampling technique using random number table.

Data Collection: House to house visits.

Data Collection Tools: Structured questionnaire. Height and weight were measured by measuring tape and weighing scale respectively.

METHODOLOGY: On visiting each house, firstly an informed consent was verbally taken from parents of children who were willing to participate in the study. The data was collected by means of a structured questionnaire which also included information about socio-demographic factors. Height and weight of each child was recorded. The children stood barefoot and erect on the weighing scale looking in front when the weight was recorded to the nearest 0.5kg. Height was measured using a measuring tape. The children were barefoot at the time of measurement with their head, buttocks and heels aligned against the wall.

The tape was applied to the wall and the reading was taken to the nearest 0.1 cm. The nutritional status was assessed by the US Center for Disease Control and Prevention (CDC)-2000 BMI for age percentile charts available separately for boys and girls aged 2-20 years. In order to calculate BMI, weight and height of each child was measured. The BMI thus calculated was plotted on the CDC BMI-for-age chart to obtain a percentile ranking. Underweight was regarded as less than the 5th Percentile, Healthy Weight as between 5th percentile to less than the 85th percentile, overweight as between 85th to less than the 95th percentile and obese as equal to or greater than 95th percentile in accordance with CDC classification.6

Data Analysis: The data was analyzed using SPSS 20. Qualitative variables were described in percentages. Association between qualitative variables was analysed by chi- square test.

RESULTS: Table 1 shows the nutritional status of children according to the CDC BMI for age Percentile criteria. The prevalence of underweight, healthy weight, overweight and obesity in children was found to be 48.0%, 38.5%, 9.8% and 3.7% respectively.

Table 2 shows the association of underweight with various sociodemographic factors. It was found that the prevalence of underweight in children belonging to General, OBC and S.C. castes was 29.2%, 56.8% and 74.6% respectively (P<0.001), in children belonging to joint and nuclear families was 70.0% and 26.0% respectively (P<0.001) and in children belonging to families having family size <5 and ≥ 5 was 25.4% and 60.5% respectively (P<0.001).

Table 2 also shows the association of overweight and obesity with various sociodemographic factors. The prevalence of overweight and obesity in children who belonged to 5-9 years and 10-14 years age group was found to be 19.6% and 8.3% respectively (P<0.001), in children belonging to General, OBC and S.C. castes was 18.7%, 9.9% and 9.0% respectively(P<0.001) and in children belonging to families having family size <5 and ≥ 5 was 23.9% and 7.7% respectively(P<0.001). No statistically significant difference was seen in the prevalence of either underweight or overweight and obesity with sex and social class of the child.

 

Nutritional Status

Number

Prevalence (%)

Underweight (< 5th Percentile)

192

48.0

Healthy Weight (5th to < 85th Percentile)

154

38.5

Overweight (85th to < 95thPercentile)

39

9.8

Obese (≥95th Percentile)

15

3.7

Total

400

100.0

Table 1: Nutritional Status of children according

to BMI for age Percentile Criteria (CDC)

 

Age

group

Population

Under

weight

Healthy Weight

Over

weight

Obese

 

No.

%

No.

%

No.

%

No.

%

No.

%

5-9 years

183

45.7

92

50.3

55

30.1

28

15.3

8

4.3

10-14 years

217

54.3

100

46.1

99

45.6

11

5.1

7

3.2

Total

400

100.0

192

48.0

154

38.5

39

9.8

15

3.7

 

 

 

χ 2=0.70; df =1; P>0.1

 

 

χ2=11.00; df =1; P<0.001

Sex

No.

%

No.

%

No.

%

No.

%

No.

%

Male

211

52.8

108

51.2

74

35.1

17

8.1

12

5.6

Female

189

47.2

84

47.2

80

42.3

22

11.6

3

1.6

Total

400

100.0

192

48.0

154

38.5

39

9.8

15

3.7

 

 

 

χ2=1.81; df =1; P>0.1

 

 

χ2=0.02; df =1; P>0.5

Caste

No.

%

No.

%

No.

%

No.

%

No.

%

General

171

42.7

50

29.2

89

52.1

21

12.3

11

6.4

OBC

162

40.5

92

56.8

54

33.3

13

8.0

3

1.9

S.C.

67

16.8

50

74.6

11

16.4

5

7.5

1

1.5

Total

400

100.0

192

48.0

154

38.5

39

9.8

15

3.7

 

 

 

χ 2=48.06;

df =2; P<0.001

 

 

χ2=30.92;

df =2; P<0.001

Social Class

No.

%

No.

%

No.

%

No.

%

No.

%

Upper 1

8

2.0

2

25.0

6

75.0

0

0

0

0.0

Upper Middle 2

224

56.0

101

45.1

91

40.6

24

10.7

8

3.6

Lower Middle

74

18.5

43

58.1

25

33.8

6

8.1

0

0.0

Upper Lower

94

23.5

46

48.9

32

34.0

9

9.6

7

7.5

Lower

0

0.0

0

0.0

0

0.0

0

0.0

0

0.0

Total

400

100.0

192

48.0

154

38.5

39

9.8

15

3.7

 

 

 

c2=4.34; df=2; P>0.1

 

 

c2=2.84; df=2; P>0.1

Type of Family

No.

%

No.

%

No.

%

No.

%

No.

%

Joint

200

50.0

140

70.0

36

18.0

17

8.5

7

3.5

Nuclear

200

50.0

52

26.0

118

59.0

22

11.0

8

4.0

Total

400

100.0

192

48.0

154

38.5

39

9.8

15

3.7

 

 

 

c 2=77.56;  df =1; P<0.001

 

 

 

*c 2=0.77; df =1; P>0.1

Family Size

No.

%

No.

%

No.

%

No.

%

No.

%

<5

142

35.5

36

25.4

72

50.7

22

15.5

12

8.4

≥5

258

64.5

156

60.5

82

31.8

17

6.6

3

1.1

Total

400

100.0

192

48.0

154

38.5

39

9.8

15

3.7

 

 

 

c2=45.24; df=1; P<0.001

 

 

    *c2=20.56;df=1;   P<0.001

Table 2: Nutritional Status of Children in relation to sociodemographic factors

 

For calculation of * 2 1 and 2 have been merged together and overweight and obesity have been clubbed together.

DISCUSSION: The prevalence of thinness or underweight in children (BMI for age <5th percentile) in the present study was observed as 48%.This is slightly lower than58.2% reported by Hasan et al(2011),7 much higher than 11.1 % reported by Anjum et al (2012)8 and exactly similar to Mandal et al (2014)9 who reported prevalence of thinness as 48%.

In the present study, 9.8% children were found to be overweight (BMI for age 85th to <95th percentile) and 3.7% were found to be obese (BMI for age ≥ 95th percentile), together constituting 13.5% for overweight/obesity which is lesser than the findings of overweight (17.73%) and obesity (4.99%) by Unnithan et al (2008)10 and higher than the findings of Bharati et al (2008)11 who found overweight(3.1%) and obesity (1.2%) in school going children; together constituting 4.3 per cent for overweight/ obesity and  Jafar et al (2008)12 who reported the prevalence of overweight and obesity as 3% in urban Indo Asian school-aged children.

In the present study, no statistically significant difference was seen in the prevalence of underweight in children in relation to age which was 50.3% and 46.1% in 5-9 years and 10-14 years respectively (P>0.1) which is similar to the findings of Medhi et al (2006)13 whereas Suvarna and Itagi (2009)1 found the prevalence of underweight in children, higher in younger age group in contrast to Mian et al (2002)14 reporting the prevalence of malnutrition higher among older children than younger ones. In the present study the prevalence of overweight and obesity in 5-9 years and 10-14 years age group was found to be 19.7% and 8.3% respectively (P<0.001) which is in contrast to the findings of Kumari (2005)15 who reported that the mean weight of the children increased with age in both the sexes.

In the present study, the prevalence of underweight was 51.2% and 44.4% in male and female children respectively (P>0.1) compared to 43.8% and 30.1% respectively as reported by Anand et al (1999)16. Mian et al (2002)14 and Suvarna and Itagi (2009)1 also reported no sex difference in prevalence of underweight while Shariff et al (2000)17 reported higher underweight in boys and Shakya et al (2004) 18  reported higher underweight in girls. The prevalence of overweight and obesity in males and females was found to be 13.7% and 13.2% respectively (P>0.5) as compared to 6.0% and 5.6% respectively as reported by Shariff et al (2000).17

In the present study statistically significant difference was found in the prevalence of underweight in Scheduled Caste, OBC and General Caste which was 74.6%, 56.8% and 29.2% respectively (P< 0.001). Venkaih et al (2002)19 also reported higher underweight among adolescents belonging to the Scheduled Caste Community than others. Also a statistically significant difference was found in the prevalence of overweight and obesity in Scheduled Caste, OBC and General Caste which was 9.0% 9.9% and 18.7% respectively(P< 0.001).However, no supportive literature could be traced to reach a conclusion.

In the present study no statistically significant difference was found in the prevalence of underweight in children belonging to Upper class, Upper middle class, lower middle class and upper lower class families which was 25%, 45.1%, 58.1% and 48.9% respectively (P>0.1). This is consistent with the findings of Choudhary et al (2009) 20 who found least underweight in children of high SES category (54.05%) and maximum (82.54%) in subjects belonging to lower SES. Also, no statistically significant difference was found in the prevalence of overweight and obesity in children belonging to Upper class, Upper middle class, lower middle class and upper lower class families which was nil, 14.3 %, 8.1% and 17.1% respectively (P>0.1) which is dissimilar to the findings of Chhatwal et al (2004)21 who reported that obesity in developing countries increases with socioeconomic class and Nair et al (2007) 22 who reported that the risk of overweight was 4 times higher among the adolescents of high SES as compared to those of low SES.

In the present study, statistically significant difference was found in the prevalence of underweight in joint family and nuclear family which was 70% and 26% respectively (P< 0.001) as compared to 48.6% and 46.9% respectively reported by Venkaih et al (2002)19 in children aged 10-17 years. However no statistically significant difference was found in the prevalence of overweight and obesity in joint family and nuclear family which was 12% and 15% respectively(P>0.1). As no supportive literature could be traced therefore further exploration is needed.

In the present study, a statistically significant difference was seen in the prevalence of both underweight as well as overweight and obesity in relation to family size < 5 and ≥ 5 which was 25.4% and 60.5% and 23.9% and 7.7% respectively(P<0.001 for both).This is in accordance with the findings of Rao et al(2006)23 who reported that the adolescents from households with family size of more than 5 had higher risk of having underweight compared to those with family size less than 5. However it is in contrast to the findings of Venkaih et al (2002)19 who reportedthe prevalence of overweight in case of family size 1-4 and 5-10 was 39.8% and 46.6% respectively.

CONCLUSION: In our study various sociodemographic factors like age, caste, type of family and family size were found to have an influence on occurrence of malnutrition in 5-14 year old children. Raising the living standards of people is the only means by which malnutrition in children can be taken care of. Government of the country should pledge to provide better education and employment opportunities to its citizens so as to raise their quality of life. Also raising the level of female education has to be given top priority so as to enable them to secure jobs and contribute to family income. Adoption of Small families should also be rigorously implemented

REFERENCES:
1.    Suvarna and Itagi S. K. Nutritional status and level of intelligence of school children. Karnataka J. Agric. Sci. 2009; 22 (4): 874-876.
2.    UNICEF Nutritional anemia in South Asia. Malnutrition in South Asia- A regional profile. Rosa Publications.1997:75-83.
3.    Park K. Park’s Textbook of Preventive and Social Medicine.22nd Edition, 2013.
4.    Ebbeling, C.B., D.B. Pawlak and D.S. Ludwig. Childhood obesity: public-health crisis, common sense cure. Lancet, 2002. 360(9331): p. 473-82.
5.    Martorell R. Obesity in the developing world. The Nutrition Transition: Diet-Related Diseases in the Modern World. 2002.
6.    Healthy Weight-it’s not a diet, it’s a lifestyle! [article on internet] [updated July 11 2014, cited 2011 March 5th] Available from www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/.
7.    Hasan I, Zulkifle M, Haseeb A. An assessment of nutritional status of the children of Government Urdu Higher Primary Schools of Azad Nagar and its surrounding areas of Bangalore. Archives of Applied Science Research.2011; 3 (3): 167-176.
8.    Fazili A, Mir A, Pandit IM et al. Nutritional Status of School Age Children (5-14 years) in a Rural Health Block of North India (Kashmir)Using WHO Z-Score System. Online Journal of Health and Allied Sciences.2012; 11: 1-3.
9.    Mandal S, Prabhakar V R, Pal J, Parthasarathi R, Biswas R. An assessment of nutritional status of children aged 0-14 years in a slum area of Kolkata. Int J Med Public Health. 2014; 4:159-62.
10.    Unnithan Ambily G. and Syamakumari S.: Prevalence of Overweight, Obesity and Underweight among School Going Children in Rural and Urban areas of Thiruvanantpuram Educational District, Kerala State(India).The Internet Journal of Nutrition and Wellness, 2008, Vol. 6          Number 2.
11.    Bharati D. R., Deshmukh P. R. & Garg B. S. Correlates of overweight & obesity among school going children of Wardha city, Central India, Indian J Med Res 127, June 2008, pp 539-543.
12.    Jafar T H, Quadri Z, Islam M, Hatcher J, Bhutta Z A, Chaturvedi N: Rise in childhood obesity with persistently high rates of under nutrition among urban school-aged Indo-Asian children; Arch Dis Child 2008; Vol. 93, Issue 5:373-378.
13.    Medhi G.K., Barua A & Mahanta J: Growth and nutritional status of school age children                    (6-14years) of tea garden workers of Assam-J.Hum Ecol., 2006:83-85.
14.    Mian Raheela M. A., Ali Mohammed, Ferroni Paola A. and Underwood Peter. The Nutritional Status of School-Aged Children in an Urban Squatter Settlement in Pakistan, Pakistan Journal of Nutrition 2002, 1(3): 121-123.
15.    Kumari K. Health and Nutritional Status of School going children in Patna. Health and Population-Perspectives and Issues.2005, 28(1): 17-25.
16.    Anand K, Kant S, Kapoor S K. Nutritional status of adolescent school children in rural North India.Indian Pediatr. Aug 1999; 36 (8): 810-15.
17.    Shariff Zalilah Mohd, Bond Jenny Taylor and Johson Nan E. Nutritional Status of Primary School Children from Low Income Household in Kuala Lumpur.Mal J Nutr 2000, 6: 17-32.
18.    Shakya SR, Bhandary S, PIokharel PK.Nutritional status and morbidity pattern among governmental primary school children in the Eastern Nepal Kathmandu University Medical Journal (2004) Vol. 2, No. 4, Issue 8, 307-314.
19.    Venkaih K., Damyanti K., Nayakand M.U., Vijayraghavan K.: Diet and Nutritional Status of rural adolescents in India, EJCN (2002), 56:1119-1125.
20.    Choudhary S, Mishra CP, Shukla KP: Correlates of Nutritional Status of Adolescent Girls in the rural area of Varanasi.The Internet Journal of Nutrition and Wellness, 2009.Vol.7, No.2.
21.    Chhatwal J, Verma M, Riar SK Obesity among pre-adolescent and adolescents of a developing country (India). Asia Pac J Clin Nutr.2004, 13: 231–235.
22.    Nair Mohanan Laxmaiah Avula, Nagalla Balakrishna and Vijayaraghavan Kamasamudram. Factors Affecting Prevalence of Overweight Among 12- to 17-year-old Urban Adolescents in Hyderabad, India. Obesity 2007, 15:1384–1390.
23.    Rao K M, Balakrishna N, Laxmaiah A, Venkaiah K and Brahmam GNV, Diet and nutritional status of adolescent tribal population in nine States of India Asia Pac J Clin Nutr 2006;15 (1):64-71.




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