Prevalence of anaemia and factors influencing anaemia among school going adolscents in urban and rural area of a North Karnataka: A comparitive study

Introduction

The word adolescence comes from the Latin word ‘adolescere’ meaning to grow and to mature. Adolescents are defined as the age group between 10-19 years according to WHO.1 At present the population of adolescent is 1.2 billion globally forming 18% of the total population. Around 243 million are living in India and consists of about 21% of Indian population.2 Today every 5^th person in India is an adolescent.3 Adolescence may be divided into three developmental stages-early adolescence- 10 to 13 years, middle adolescence- 14 to 16 years, late adolescence- 17 to 19 years.4

Adolescence is the transition period during which they gain up to 50% of their adult height and skeletal mass. Inadequate nutrition during adolescence can have serious consequences throughout reproductive years and beyond. Unmet nutritional needs lead to several public health problems such as stunted and retarded growth, impaired mental development, anaemia. Global prevalence of underweight among children and adolescent is 8.4% in girls and 12.4% in boys according to worldwide pooled analysis of study published in Lancet in 2017.5 In India, it varies from 21.4% to 47.93% according to different studies conducted across the country.6 During adolescence, anaemia is prevalent in both girls and boys indicating that they need higher nutritional requirement for their rapid physical and mental growth and development. In our country, prevalence of iron deficiency anaemia reported to vary from 56% — 90.1%.7 Globally, according to WHO, a total of 1.62 billion people is anaemic.8 Every 9 out of 10 persons affected by anaemia live in developing world.9, 10 Anaemia adversely affects the attentiveness, memory and school performance, their school attendance. In adolescent girls, short stature that carries on into adulthood is associated with many concurrent and future adverse health and pregnancy outcomes like obstructed labour, post-partum haemorrhage, genital infection etc.

Anaemia adversely affects the attentiveness, memory, school performance and school attendance and menstruation problems in girls. Numerous studies have been conducted highlighting the anaemia among the adolescent girls. There is a scarcity of data on anaemia among boys compared to girls and rural urban difference of anaemia. Therefore, this study was conducted with the objective to estimate the prevalence of anaemia and its associated factors among rural and urban school going adolescents in North Karnataka.

Material and Methods

An observational study was conducted among the school going adolescents (10-19 years) studying in Government schools in rural and urban field practice area of Department of Community Medicine, BIMS, Belagavi. There are 13 schools in Uchagoan and 9 schools in Kashbag. All the Government schools were included in the sampling frame. The calculated sample size was 360 taking the prevalence of 19.44% in a previous Indian study with absolute error 5%, 10% response failure and 95% confidence interval.11 Students from standard six to ten were taken in the study and they were selected using simple random sampling technique. A written permission from the authorities of all institutions was obtained prior to data collection. Consent from the study participant’s parent/guardian was taken. A pre-designed semi-structured questionnaire was used to collect information regarding socio-demographic profile. Data was collected by using interview method. Anthropometric measurement and haemoglobin estimation were done. To measure weight, portable weighing machine with calibrated scale of 0.5kg was used and for height stadiometer. To measure hip and waist circumference calibrated measuring tape marked in centimetres was used. Body Mass Index (BMI) was calculated by the formula weight in kilograms divided by height in meter square.12 The classification is made according to IAP guidelines. [Table 3] Waist Hip ratio12 was calculated by using the formula

Waist Hip ratio= Waist circumference/Hip circumference

Waist-hip-ratio ≤1 for males was considered normal while waist-hip-ratio≤0.85 in females.

Haemoglobin estimation was done using Sahli’s method. Under aseptic precautions, tip of the middle or ring finger was pricked using lancets needle and 20cumm (i.e. 0.02ml) of blood was drawn in haemoglobinometer pipette and was transferred into N/10 HCL graduated haemoglobinometer tube. Contents were mixed thoroughly and kept for 10 minutes for the maximum conversion of haemoglobin in blood to acid haematin. In drops distilled water was added in the tube to dilute it till the colour matched with that of the standard. The reading of the meniscus from the scale of the haemoglobinometer was read haemoglobin was expressed as grams per 100 ml of blood. Anaemia diagnosis was made as per WHO standard.⁵ Study duration was from January 2018 to March 2019. Ethical clearance was obtained from institutional ethical committee of BIMS, Belagavi.

Statistical Analysis

Data entry was done in MS Excel and was analysed using SPSS v22 and MS Excel. Statistical measures used were percentage and chi square test as test of significance. The statistical significance was evaluated at 95% confidence level (p <0.05) and results presented in tables.

Results

360 adolescents participated in the study i.e. 180 from rural and urban area respectively. Maximum participants 207(57.50%) were in middle adolescence phase (75.0%from rural and 40.0% from urban). Compared to boys, girls were more in both the areas i.e. (59.44% rural and 63.99% urban). [Table 3] Total prevalence of anaemia among adolescents was 289 (80.28%) more in rural adolescents 160 (88.88%) compared to urban 129 (71.67%). Maximum prevalence was of moderate anaemia 193 (53.61%) more in rural 63.89% compared to urban area 43.33%. [Table 4] Among adolescent girls, mild anaemia was seen in 37.0% rural and 63.0% of urban, moderate anaemia more 57.2% in rural compared to urban 42.8% and there was a significant statistical association. [Table 5]. Out of 20 subjects of age group 10-12 years in rural area 7(35%) were mild anaemic,13 (65.0%) moderate. 13-15 years (mild 19.6%, moderate 80.4%), 16-17 years (mild 44.22%, moderate 55.8%) and it was statistically significant. In urban area in 10-12 years age (mild 33.3%, moderate 66.7%), 13-15 years (mild 41.0%, moderate 59.0%), 16-17 years (mild 55.6%, moderate 44.4%) and it was not statistically significant. [Table 6]

According to IAP guidelines BMI categories, 269 (74.72%) of adolescents were underweight more from urban area 76.11% compared to rural 73.33% and higher in urban adolescent boys and girls (84.62% and 71.30%) compared to rural (83.56% and 66.36%) respectively. 76 (21.11%) were of normal BMI i.e. 24.44% in rural and 17.78% urban. 12 (3.33%) were in overweight category, higher in urban area 5.0% than rural 1.67% and obesity was found in 3 (0.83%) which was 1.11% in urban area compared to rural 0.56%. Overweight and obesity was more in urban area compared to rural area. [Table 7]

Among 132 underweight students in rural area, 27.27% had mild anaemia, 63.63% moderate and only 9.09% were non-anaemic whereas in urban area out of 137 underweight adolescents29.20% were mild anaemic, 44.53% moderate and 26.28% non-anaemic. Prevalence of anaemia was higher in rural underweight adolescents compared to urban. [Table 8]

Discussion

In the present observational study75.0% adolescents of rural and 40.0% of urban area were in middle adolescent phase followed by early adolescent phase. It was almost similar to Kansagara T et al. study in which majority 59.85% were in middle adolescent phase, but 34.78% in late and 5.37% in early adolescent phase.13 Out of 360 study students,61.67% were girl participants and 38.33% were boys whereas in Dharmalingam A et al. study about two thirds were girls 67.9% and 54.72% were boys. 6 Our study finding was higher compared to Prayag A et al. study where prevalence in rural area was 52.7% compared to that of urban was 43% and 57% was seen among girls and 40.5% of boys were anaemic which was similar to our study.14

Mild type of anaemia among rural girls was 37.0% and 63.0% in urban, moderate anaemia in 57.2% rural and 42.8% urban and 26.7% from rural and 73.3% from urban were non-anaemic and there was a significant statistical association (p <0.05).In a study by Goyal N et al. in Uttar Pradesh among girls in urban area mild to moderate anaemia was seen in 91.9%. 15 Yerpude P N et al. study in urban area among boys aged 10 to 19 years, the prevalence of anaemia was found to be 36.14%.16, 1 In a comparative study conducted by Rani S et al. in a South Indian city found the prevalence of anaemia 74.5% and 82.6% in rural and urban area respectively which was higher compared to our rural area finding. 8 In Rajaretnam T et al. in northern Karnataka found that among both girls and boys nearly a half in rural area and 25-30% in urban area were anaemic. 11

In our study, according to IAP-BMI cut off category, 24.44% from rural and 17.7% from urban were in normal weight category. Underweight prevalence was 73.33% in rural and 76.11% in urban, overweight 1.67% rural and 5.0% urban, obesity 0.56% in rural and 1.11% in urban area. In Chudasama RK et al. according to IAP standards where prevalence of underweight was 3.4%, obesity 14%, overweight 19.1%. 17 In a study conducted by Elsabagh H M et al. found that 60.7% of the students were normal weight, 6.1% as obese and 1.9% underweight. 18 A study conducted by Rahman F et al. in Kanpur found 52.09% of prevalence of under nutrition among adolescent. Nearly 45.51% and 50.8% adolescents were undernourished in urban and rural areas respectively. 19 Underweight finding in our study was similar to Deshmukh PR et al. (75.3%), higher than Rao V G et (61.7%) Pal A et al. (48.78%) whereas less compared to Srinivasan K et al. (78.4%), whereas and. 10, 20, 21, 22

Conclusion

Anaemia was more prevalent in rural (88.88%) compared to urban (71.67%) and maximum prevalence was of moderate anaemia in both the areas which was more in girls compared to boys. A high prevalence of anaemia among the rural and urban girls was alarming looking to the grave consequences of anaemia.The association of anaemia with various other risk factors are also established, and there is a dire need to improve the nutrition of the adolescents. So, the present study highlights the need to develop pragmaticintervention programmes incorporating various strategies to improve dietary intake andbioavailability of iron; nutritional supplementation of iron and folic acid tablets and fortification of edible dietary items with iron for the adolescents.

Limitations of the study

The present study included only government schools. The results whatever obtained cannot be generalized to entire adolescent population of Khasbag and Uchagaon.

Recommendations

More factors and measures need to be identified irrespective of the socio-demographic factors. Detailed analysis like biochemical assessment (e.g. serum iron) would have given more complete picture of nutritional anaemia status of adolescents.

Source of Funding

No funding sources

Conflict of Interest

None declared