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Nutritional Status among Adolescent Girls in Urban Slums of South Chennai and the Impact of Information, Education and Communication on Their Nutritional Knowledge and Practices

Journal of Research in Medical and Dental Science
eISSN No. 2347-2367 pISSN No. 2347-2545

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Research - (2022) Volume 10, Issue 5

Nutritional Status among Adolescent Girls in Urban Slums of South Chennai and the Impact of Information, Education and Communication on Their Nutritional Knowledge and Practices

Jeyaprabha V*

*Correspondence: Jeyaprabha V, Department of community medicine, Sree Balaji Medical College and Hospital, Chennai, India, Email:

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Abstract

The aim of the study is to assess and study the nutritional status and prevalence of anemia among adolescent girls in urban slums of south Chennai. With the help of various findings, concluded that the prevalence of under nutrition and over nutrition was high in the study area. This will help the health care providers to identify the problem faced by the adolescent girls in the study and also to implement effective intervention measure to correct the nutritional deficiencies.

Keywords

Adolescent girls, Anemia, Nutrition

Introduction

Adolescence is originated from the Latin word adolescent meaning to grow into adulthood or maturity [1]. Adolescence is the phase of transition from the child to adult and is characterized by major physical, behavioral and psychological changes. In India, 20.07% of the total population is adolescents (10-19 years) i.e. more than 200 million. In India Adolescents represent over one fifth of population [2]. About one tenth of Indians is constituted by adolescent girls and they are one of the crucial segments in the communities of developing nations. Adolescent girls are worst hit by various forms of nutritional deficiencies and malnutrition due to their low social power and increased nutritional demands during the growing phases of life. Adolescent girls are future mothers and their nutritional status significantly contributes to the community’s nutritional status [3]. The 2nd leading cause of morbidity and disability all over the world is anemia. India has recorded higher prevalence of anemia in adolescent girls compared to other developing countries of the world and the prevalence is on a rise [4]. Among the adolescent girls in rural areas prevalence of anemia is 51% which is slightly higher than urban adolescent girls (49%). India was recently placed third in the global load of obesity. The National Family Health Survey round 4 (NFHS-4) has revealed that the prevalence of obesity among children including adolescents in India in the year 2016 was 2%, compared to 0.3% in the year 2000 [5]. In Tamilnadu, the percentage of persons in the age group of 15-19 years who were overweight or obese was 6.7% in girls [6]. On an average anemia prevalence is 25.6% and 24.9% for rural and urban adolescent girls in Tamilnadu.

Materials and Methods

Study design

Cross-sectional descriptive study

Study area

The current study was conducted in the 6 urban slums (Vijayaragapuram, Kannigapuram, Mettu kuppam, Sreedevi kuppam, Nerkundram, and Venkatesapuram) in Southern part of Chennai district, Tamilnadu.

Inclusion criteria

The inclusion criteria for the study were adolescent girls aged 10-19 years who are residing in the study area and willing to participate in the study were included.

Exclusion criteria

The exclusion criteria for the study were

✓ Critically ill adolescent girls. ✓Those who did not give consent to participate in the study. ✓ Adolescent girls who were not been able to be contacted even after 2 visits were excluded.

Results

Underweight was significantly associated with lower socioeconomic status (p value < 0.0001, OR-33.88), non- nuclear family type (p value 0.018, OR-1.70), larger family size (p value 0.0001, OR-2.36) and Kutcha type of house (p value <0.0001, OR-10.69) (Tables 1-3).

S.No Variable Mean Standard deviation
1 Age 14.6 3.4
2 Height 152.9 6.6
3 Weight 44.7 9.7
4 BMI 20.8 3.1
5 Hemoglobin 11.2 1.9

Table 1: Mean and standard deviation for selected variables.

S.No Character Total frequency Underweight
Yes (142) No (278) P value Odds ratio (95% CI)
1 Age
10-14 years 148 48 100 0.659 0.90(0.59-1.39)
15-19 years 272 94 178
2 Socioeconomic status
Middle class(lower middle) 51 47 4 <0.0001** 33.88(11.89-96.57)
Lower class(upper lower, lower) 369 95 274
3 Family type
Nuclear 112 48 64 0.018* 1.70(1.09-2.66)
Joint / Three generation 308 94 214
4 Family size
≤ 6 159 73 86 0.0001** 2.36(1.55-3.58)
> 6 261 69 192
5 Birth order
≤ 3 194 62 132 0.457 0.85(0.57-1.28)
> 3 226 80 146
6 Mothers education
< High school 320 102 218 0.134 0.70(0.44-1.11)
≥ High school 100 40 60
7 Mothers employment
Yes 157 50 107 0.51 0.86(0.57-1.32)
No 263 92 171
8 Type of house
Kutcha 166 106 60 <0.0001** 10.69(6.66-17.18)
Pucca / SemiPucca 254 36 218
*P-value< 0.05 is significant and p value<0.01 is highly significant

Table 2: Association between socio demographic variables and underweight (N-420).

Table 3 shows variables significantly associated with overweight/obesity were early adolescent age (p value 0.0001, OR-2.86), lower educational status of mother (p value 0.0002, OR-14.48) and increased consumption of fast foods (p value<0.0001, OR-5.17) (Table 4).

S.No Character Total frequency Overweight/Obesity
Yes (75) No (345) P value Odds ratio (95%CI)
1 Age
10-14years 148 42 106 0.0001** 2.86(1.72-4.77)
15-19years 272 33 239
2 Socioeconomic status
Middle class(lower middle) 51 11 40 0.461 1.31(0.63-2.69)
Lower class(upper lower, lower) 369 64 305
3 Family type
Nuclear 112 19 93 0.773 0.91 (0.51-1.62)
Joint / Three generation 308 56 252
4 Family size
≤ 6 159 21 138 0.053 0.58(0.33-1.00)
> 6 261 54 207
5 Birth order
≤ 3 194 30 164 0.236 0.73(0.44-1.22)
> 3 226 45 181
6 Mothers education
< High school 320 73 247 0.0002** 14.48(3.48-60.1)
≥ High school 100 2 98
7 Mothers employment
Yes 157 22 135 0.113 0.64(0.37-1.11)
No 263 53 210
8 Increased consumption of fast food
Yes 257 65 192 <0.0001** 5.17(2.57-10.41)
No 163 10 153
* p value< 0.05 is significant and p value<0.01 is highly significant

Table 3: Association between socio demographic variables and overweight /obesity (N-420).

Table 4 shows anemia among adolescent girls was significantly associated with early adolescent age group (p value <0.0001, OR-4.09), higher birth order (p value<0.0001, OR-2.391), working mother (p value<0.0001, OR- 3.94) and open air defecation practice (p value<0.0001, OR - 112.62).

S.No Character Total frequency Anemia
Yes (150) No (270) P value Odds ratio (95%CI)
  Age
1 10-14 years 148 84 64 <0.0001** 4.09 (2.67-6.28)
15-19 years 272 66 206
Socioeconomic status
2 Middle class (lower middle) 51 18 33 0.946 0.97 (0.53-1.80)
Lower class(upper lower, lower) 369 132 237
Family type
3 Nuclear 112 36 76 0.357 0.80(0.50-1.27)
Joint / Three generation 308 114 194
  Family size
4 ≤ 6 159 55 104 0.707 0.92(0.61-1.39)
> 6 261 95 166
  Birth order
5 >3 226 101 125 <0.0001** 2.391(1.576-3.627)
≤ 3 194 49 145
  Mothers education
6 < High school 320 108 212 0.133 0.70(0.44-1.11)
≥ High school 100 42 58
  Mothers employment
7 Employed 157 87 70 <0.0001** 3.94(2.58-6.02)
Not employed 263 63 200
  Open air defecation
8 Yes 107 102 5 <0.0001** 112.62(43.60-209.91)
No 313 48 265
* p value< 0.05 is significant and **p value < 0.01 is highly significant

Table 4: Association between socio demographic variables and anemia (N-420).

Discussion

Among 420 adolescent girls, 44.5% belonged to 17 -19 years of age and only 18.8% were in 10 -13 years of age category. The mean age was 14.6±3.4 years. In the current study, Underweight is significantly associated with lower socioeconomic status, joint and three generation family types, larger family size and Kutcha type of house and overweight was associated with early adolescent age, educational status of adolescent girls, lower educational status of mother and increased consumption of fast foods. Jayatissa et al study done in Srilanka observed that Underweight was significantly associated with age and sex. Overweight was significantly associated with age [7]. Compared to normal and underweight counterparts overweight and obese individual consumed more carbohydrates and less dietary fiber in previous study done in Italy [8]. In the current study, Anemia among adolescent girls was significantly associated with early adolescent age group, higher birth order, working mother and open air defecation practice. Whereas in Yerpude et al study done in south India significant association between anemia and menstrual cycle, history of menorrhagia and Body mass index was found [9]. Anemia was more in late adolescent girls and lower socioeconomic status adolescent girls in Chandrakumari et al study done at rural area of Tamilnadu [10].

Conclusion

Underweight is significantly associated with lower socioeconomic status, joint and three generation family types, larger family size) and Kutcha type of house. Anemia among adolescent girls was significantly associated with early adolescent age group, higher birth order, working mother and open air defecation practice. From the findings of the study, it can be concluded that the prevalence of under nutrition and over nutrition was high in the study area. The level of awareness among the study participants about diet, nutrition and nutritional practice was lower than expected which is quite alarming. Though there are programs to address the nutritional status of adolescent girls there are few lacunae identified in this study. All these lacunae must be bridged by effective interventions.

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Author Info

Jeyaprabha V*

Department of community medicine, Sree Balaji Medical College and Hospital, Chennai, India
 

Citation: Jeyaprabha V, Nutritional Status among Adolescent Girls in Urban Slums of South Chennai and the Impact of Information, Education and Communication on Their Nutritional Knowledge and Practices, J Res Med Dent Sci, 2022, 10 (5): 99-102.

Received: 04-Apr-2022, Manuscript No. JRMDS-22-53391; , Pre QC No. JRMDS-22-53391 (PQ); Editor assigned: 06-Apr-2022, Pre QC No. JRMDS-22-53391 (PQ); Reviewed: 20-Apr-2022, QC No. JRMDS-22-53391; Revised: 25-Apr-2022, Manuscript No. JRMDS-22-53391 (R); Published: 02-May-2022

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