Anthropology · Vol. 6, No. 1 · 2023 · pp. 1–7 · e-ISSN 2473-4772

Prevalence of Malnutrition using Anthropometric Index among the Sabar Tribal Preschool Children of Purulia District of West Bengal, India

Latu L. Mahata, Sadaruddin Biswas, Samiran Bisai

PGDPHN Public Health and Nutrition Research Unit, Department of Anthropology and Tribal Studies, Sidho-Kanho-Birsha University, Purulia 723 104,West Bengal, IndiaIndia

DOI: https://doi.org/10.17140/antpoj-6-132 · Published 2023-02-24 · Licence: https://creativecommons.org/licenses/by/4.0 · © 2023 The Author(s)

Abstract

Background It is well-established that tribal preschool children are still suffering from different types of malnutrition. Although data on the prevalence of malnutrition in the form of thinness (low body mass index (BMI) for age) among preschool children, particularly tribal preschool children in India, is limited. Objective The purpose of this study was to look at the anthropometric characteristics as well as the prevalence of malnutrition in the form of thinness using recent age and sex-specific BMI cut-off values. Methods The present cross-sectional study was carried out at seven different villages in the three Sabar concentrated blocks of the Purulia district. A total of 104 (49 boys and 55 girls) Sabar preschool children (aged 2-5-years) were investigated. Preschool children from seven Sabar-dominated villages were investigated. The prevalence of malnutrition in the form of thinness was assessed using an age- and sex-specific international BMI cut-off. Results There were significant age variations in mean weight and height observed in both sexes (p<0.001). The overall prevalence of malnutrition among Sabar preschool children was 80.77%. Boys (85.71%) were more malnourished (low BMI-for-age) than girls (76.4%). Overall, about 37.5% of preschool children were severely malnourished. Conclusion The results revealed that their nutritional status was not satisfactory. Therefore, an appropriate nutritional intervention programme should be taken to reduce the burden of malnutrition among the Sabar preschool children of Purulia district, West Bengal, India.

Keywords: India; Tribes; Sabar; Preschool children; Malnutrition; Anthropometric; Index

Background

It is well-established that tribal preschool children are still suffering from different types of malnutrition. Although data on the prevalence of malnutrition in the form of thinness (low body mass index (BMI) for age) among preschool children, particularly tribal preschool children in India, is limited.

Objective

The purpose of this study was to look at the anthropometric characteristics as well as the prevalence of malnutrition in the form of thinness using recent age and sex-specific BMI cut-off values.

Methods

The present cross-sectional study was carried out at seven different villages in the three Sabar concentrated blocks of the Purulia district. A total of 104 (49 boys and 55 girls) Sabar preschool children (aged 2-5-years) were investigated. Preschool children from seven Sabar-dominated villages were investigated. The prevalence of malnutrition in the form of thinness was assessed using an age- and sex-specific international BMI cut-off.

Results

There were significant age variations in mean weight and height observed in both sexes (p<0.001). The overall prevalence of malnutrition among Sabar preschool children was 80.77%. Boys (85.71%) were more malnourished (low BMI-for-age) than girls (76.4%). Overall, about 37.5% of preschool children were severely malnourished.

Conclusion

The results revealed that their nutritional status was not satisfactory. Therefore, an appropriate nutritional intervention programme should be taken to reduce the burden of malnutrition among the

Keywords

India; Tribes; Sabar; Preschool children; Malnutrition; Anthropometric; Index.

Introduction

alnutrition is a major public health problem among preschool children, specifically tribal preschool children in In- M dia. Generally, the nutritional status of an individual depends on their food consumption. Human needs a wide range of nutrients to lead a healthy and active life, and these are derived through the diet. Although nutritional status is a sensitive indicator of a community’s health, in order to formulate any public health strategy to reduce malnutrition, we first have to assess the nutritional status

Copyright 2023 by Biswas S. This is an open-access article distributed under Creative Commons Attribution 4.0 International License (CC-BY 4.0) Sabar preschool children of Purulia district, West Bengal, India.

of a community.1 Malnutrition is associated with a higher mortality rate among preschool children. Nearly half of the preschool children were underweight and stunted in India, as documented by the National Family Health Survey (NFHS)-1, 2 and 3 reports, and 59% of preschool children (per 1,000 live births) lost their lives 2-4 before attaining their fifth birth day.2-4 It was much higher than the global child mortality rate (46%).5 Malnutrition was to blame for the high mortality rate. It was more prevalent among preschool children from disadvantaged areas with lower socioeconomic status. The scenario was worse among a tribal community inhabiting

rural and impassable area of the country.6 More than one-third of the world’s wasted and stunted children live in India. Malnutrition has an impact on the health, growth, and development of children, and it is an indicator of national progress toward developmental goals, reducing a nation’s strength and capacity.7

According to the NFHS-3 of India, 60% of preschool tribal children were underweight.8 It has also been reported that the nutritional status of Indian children from tribal and lower socioec- 9,10 onomic groups is very poor.9,10 As per our records, there was no previous study based on thinness (low body mass index (BMI)-forage) among the Sabar preschool children of West Bengal. In view of the above, the present study was undertaken to assess the prevalence of malnutrition in the form of thinness among the Sabar tribal preschool children of Purulia district, West Bengal, India.

The Sabar is a Mundari-speaking tribe found in the hill regions of Orissa, Andhra Pradesh, Madhya Pradesh, Bihar (now Jharkhand) and West Bengal. In West Bengal, Sabar is also known as Kheria, Kharia, and Savar. Hill Kharias, Dhelki Kharias, and Dudh Kharias are the three types of Kharias based on their geographical location, culture, and a few other aspects of life. Hill Kharias is the most primitive and in the worst condition. They live in Purulia, Bankura, West Bengal, as well as hilly areas of Orissa and Jharkhand.

Keeping in mind the present study aimed to see anthropometric characteristics as well as to assess the prevalence of malnutrition in the form of thinness using an age- and sex-specific international BMI cut-off.

Materials And Methods

Settings

The present household based cross-sectional study was carried out at the seven villages of Barabazar, Manbazar-II, and Bundwan blocks of Purulia district, West Bengal, India. The information was gathered between October 2020 and February 2021. All three blocks are situated approximately 225-255 km away from Kolkata, the provincial capital of West Bengal.

Sampling

The present article was developed based on the partial findings of a household-based health study. The sample size (household) of the study was estimated through Emergency Nutritional Assessment (ENA) software. It was assumed that the estimated prevalence of undernutrition was 20% (on the basis of NFHS-3, the wasted value of preschool children was 20%), the desired precision was 5, the average household size was 5, under five children were 21%, and non-responding households were 3%. Therefore, the calculated minimum household size was 292 to address the objectives. Simple random sampling was used to select the households.

A minimum of 100 households were selected from each block.

Finally, 356 households were included in the present study.

Sample

A total of 104 available preschool children (49 boys and 55 girls) were included in the present study. The children’s ages were determined using their birth certificates and immunisation records.

Anthropometric Measurements

The preschool children’s height and weight were measured using the standard procedure recommended by Lohman et al.13 Martin’s anthropometer was used to measure height with an accuracy of 0.1 cm, and a weighing machine (Libra, India) was used to measure weight with a difference of 500 g.

Assessment of Malnutrition

The BMI was calculated using an internationally accepted standard 14 12 equation.14 Cole et al12 recommended an age- and gender-specific BMI cut-off was used for assessing the thinness status. Low BMI for- age was defined as thin as CED grade-III (as corresponding values for adults BMI>16.00 kg/m2), CED grade-II (as corresponding values for adults BMI: 16.00-16.99 kg/m2), and CED grade-I (as corresponding values for adults BMI: 17.00-18.49 kg/ m2), which are referred to as severe, moderate, and mild thinness, 11 respectively.

Statistical Analyses

All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) (Version: IBM 25), the Emergency Nutritional Assessment, and Microsoft Office Excel (Version 2007).

An independent sample student t-test was performed to see the significant sex differences in mean height, weight and BMI.

One-way analysis of variance (ANOVA) was computed to see the significant age variations of mean height, weight and BMI. All statistical analyses were set at p<0.05.

Results

Anthropometric Characteristics

Age- and sex-specific means (standard deviations) of weight (kg), height (cm), and BMI (kg/m ) of the studied preschool children were tabulated in Table 1.

Overall, the weight, height, and BMI means (SD) were 11.63 (2.2), 93.08 (10.00), and 13.41 (1.49) for girls and 11.62 (1.94), 92.85 (8.56), and 13.45 (1.11) for boys. The boys were significantly taller than girls at the age of 2-years (t=2.64; p<0.05). But the girls of the same age showed a higher mean value of BMI compared to the boys (t=-2.10, p<0.05). Whereas, just after reaching a higher age (3-years), boys had a higher mean value of BMI (t=3.14, p<0.01) compared to their counterparts. Overall, there were no significant sex differences found in mean weight. The results also revealed that mean height depicted maximum age variations (sex combined: F=77.49; p<0.001, boys: F=41.23; p<0.001, girls: 41.17; p<0.001) followed by mean weight (sex combined: F=35.66; p<0.001, boys: F=22.82; p<0.001, girls: 15.38; p<0.001). The mean values of BMI also showed significant age variations among children except boys

Table 1. Anthropometric Characteristics of the Tribal Preschool Children

Weight (kg) Height (cm) BMI (kg/m ) Age in Year Boys: Girls: Sex-combined Boys: Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD)

2 9.72(0.73) 9.52(1.41) 9.62(1.09) 84.13(3.89) 79.46(4.92) 81.89(4.93) 13.78(1.34) 15.07(1.72) 14.40(1.64) 3 10.72(0.58) 10.17(1.36) 10.45(1.06) 87.81(2.94) 88.89(2.97) 88.35(2.93) 13.91(0.56) 12.82(0.94) 13.36(0.94) 4 12.13(2.02) 12.67(2.03) 12.48(2.01) 94.83(6.40) 97.27(7.13) 96.40(6.86) 13.43(1.36) 13.33(1.10) 13.36(1.18) 5 13.41(1.31) 13.03(1.42) 13.23(1.35) 101.85(4.55) 101.72(5.03) 101.79(4.70) 12.92(0.81) 12.59(0.95) 12.76(0.88) Age-combined 11.62(1.94) 11.63(2.20) 11.62(2.07) 92.85(8.56) 93.08(10.00) 92.97(9.30) 13.45(1.11) 13.41(1.49) 13.43(1.32) *** *** *** *** F-values 22.82 15.38 35.66 41.23 Standard deviations (SD) are presented within the parentheses *** ^ ^^ Level of significance =p<0.001; significant sex difference =p<0.05, =p<0.01

Table 2. Age and Sex Specific Prevalence (%) of Malnutrition among the Sabar Preschool Children Gender 2 3 Boys CED-II 3 23.08 3 30.00 3 30.00 7 43.75 16 32.65 Girls CED-II 0 0.00 0 0.00 5 27.78 3 20.00 8 14.55 Sex-combined CED-II 3 12.00 3 15.00 8 28.57 10 32.26 24 23.08 (sex combined: F=8.81; p<0.001, girls: F=10.76; p<0.001).

Nutritional Status

Table 2 shows the age- and sex specific prevalence of malnutrition among the studied preschool children. The overall prevalence of malnutrition was 80.77%, (boys: 85.71%; girls: 76.40%). All of the boys at the age of 3-years were thin, but mild thinness (CED-I) was the highest (60%) and severe thinness was the least (10%).

Girls had a higher prevalence of severe thinness (41.82%) than boys (32.65%). Figures 1, 2 and 3 depict the prevalence of thinness in boys, girls and overall children, respectively.

Discussion

A healthy adult depends on his or her health in early childhood, and nutrition has a vital on it.15 Malnutrition leads to a succession of metabolic abnormalities, physiological changes, reduced organ and tissue function, and loss of body mass.16 Previously, evaluating malnutrition based on BMI was not feasible due to a lack of ap-

Girls: Sex-combined Boys: Girls: Sex-combined

^ ^ ^ ^ ^^ ^^

*** *** *** *** 41.71 77.49 2.37 10.76 8.81

Age (years) Nutritional Age-combined

4 5

Status F % F % F % F % F %

Normal 3 23.08 0 0.00 3 30.00 1 6.25 7 14.29 CED-I 1 7.69 6 60.00 1 10.00 2 12.50 10 20.41

CED-III 6 46.15 1 10.00 3 30.00 6 37.50 16 32.65 Overall CED 10 76.92 10 100.00 7 70.00 15 93.75 42 85.71 Normal 6 50.00 1 10.00 5 27.78 1 6.67 13 23.64 CED-I 4 33.33 1 10.00 2 11.11 4 26.67 11 20.00

CED-III 2 16.67 8 80.00 6 33.33 7 46.67 23 41.82 Overall CED 6 50.00 9 90.00 72.20 14 93.33 42 76.36 Normal 9 36.00 1 5.00 8 28.57 2 6.45 20 19.23 CED-I 5 20.00 7 35.00 3 10.71 6 19.35 21 20.19

CED-III 8 32.00 9 45.00 9 32.14 13 41.94 39 37.50 Overall CED 16 64.00 19 95.00 20 71.43 29 93.55 84 80.77

propriate cut-off points. Suitable cutoff points have now emerged to assess the level of malnutrition in the form of thinness among the children aged 2-18-years.14

It is stated that thinness (low BMI-for-age) is a more appropriate way to assess malnutrition than wasting (low weight-forheight). Though several nutritional development programmes are running in India, these programmes have failed to improve the nutrition status of the children. Large population sizes, illiteracy, poverty, poor infrastructure, and inappropriate healthcare facilities lead to a high prevalence rate of thinness. Underweight among preschool children has been linked to the mother’s educational sta- 19,20 tus and colostrum feeding. Malnutrition is more likely to affect tribal children than their rural counterparts.

The comparison of the sex-specific prevalence of malnutrition in the previous studies with the present study is presented in the Table 3 and Figure 4. All these studies were evaluated based on the international BMI cut-off as developed by Cole et

Figure 1. Prevalence of Malnutrition among the Boys

Figure 2
Figure 2. Prevalence of Malnutrition among the Girls
Figure 3
Figure 3. Age Specific Sex-combined Prevalence of Malnutrition among the Sabar Preschool Children

Table 3. Comparison of the Overall Prevalence (%) of Malnutrition of Previous Studies with of the Present Study12

State District Studied Children

West Bengal Nadia Preschool children West Bengal Hoogly ICDS children

West Bengal North 24 Pargana

West Bengal Purulia

Karnataka Belgaum

Telangana Adilabad Jhargram & Paschim Tribal preschool West Bengal Medinipur children West Bengal Purulia

West Bengal Purulia

Figure 4. Comparison of Overall of Prevalence of Malnutrition of Previous Studies with Present Study al.12 The boys in the present study had the highest prevalence of tory occupational status of their parents. No data were collected malnutrition (85.71%) compared to the boys in the other studies. on the food consumption of the studied preschool children.

Whereas, the girls had the second highest prevalence of malnutrition (76.36%) after the Integrated Child Development Scheme CONCLUSION (ICDS) preschool children of Hooghly district, West Bengal.22 A study of urban preschool children in the North 24 Parganas dis- The present study established that the nutritional status of the trict, West Bengal found a much lower rate of malnutrition in both Sabar preschool children was not satisfactory, indicating a serious sexes (boys: 48.2%, girls: 46.2 %) than the present study. Other problem in health and nutrition. A community health development 25,26 9,22-24,27,28 national and regional studies also showed lower prev- programme should be taken into account to develop their nutrialence of malnutrition than the present study. The comparison tional status. The present findings will be helpful to policymakalso revealed that overall, preschool children from the different ers for the effective formulation of developmental and healthcare regions of India are still suffering from serious malnutrition prob- programs, and it is also necessary to observe the ongoing intervenlems, which might be a result of different health problems. Apart tion programmes. from the above discussion, the present study had some limitations.

This article was developed from a family-based (household) study; ACKNOWLEDGEMENTS therefore, some age groups had a lower representation. We missed some children during the anthropometric survey due to the migra- All subjects who participated in the study are gratefully acknowl-

Prevalence (%) References Age group N Boys Girls

3-5 yrs 2016 49.7 51.6 24 Biswas et al 2-6 yrs 1012 84.8 85.6 22 Mandal et al Urban Poor preschool 23 2-5 yrs 798 48.2 46.2 Bisai et al Children Santal preschool 9 2-6 yrs 251 59.5 53.3 Das et al children Rural preschool 25 2-5 yrs 697 63.4 58.6 Nayak et al children Kolam tribal preschool 26 2-5 yrs 284 72.9 72.1 Bharathi et al Children 2-5 yrs 643 69.5 69.2 Mahapatra et al Kora-Mudi preschool 28 2-5 yrs 221 77.1 67.0 Chandra et al children Sabar tribal preschool 2-5 yrs 104 85.7 76.4 Present Study children 23,24

edged. Special thanks go to Sidho-Kanho-Birsha University and the local governments in these areas.

Ethical Approval

Institutional ethical approval was taken from the Sidho-Kanho-Birsha University’s Institutional Ethical Committee. Prior to the survey, consent was obtained from the parents of the children.

Conflicts Of Interest

The authors declare that they have no conflicts of interest.

References

  1. PhilipRRVijayakumarKInduPSShrinivasaBMSreelalTPBalajiJ. Prevalence of undernutrition among tribal preschool children in Wayanad district of Kerala. Int J Adv Med Health Res. 2015; 2(1): 33-38. doi: 10.4103/2349-4220.15913510.4103/2349-4220.159135 https://doi.org/10.4103/2349-4220.159135
  2. National Family Health Survey (NFHS-1). rchiips.org. http:// www.rchiips.org/nfhs/india1.shtml. Accessed April 18, 2022
  3. National Family Health Survey (NFHS-2). rchiips.org. http:// www.rchiips.org/nfhs/nfhs2.shtml. Accessed April 18, 2022
  4. Family Health Survey (NFHS-3). rchiips.org. http://www. rchiips.org/nfhs/nfhs3.shtml. Accessed April 18, 2022
  5. TaranSAzadS. Protein Energy Malnutrition among Preschool Tribe’s Children of Chhattisgarh. India. Int J of Paedia. 2015; 3(4): 823-831. doi: 10.22038/ijp.2015.464010.22038/ijp.2015.4640 https://doi.org/10.22038/ijp.2015.4640
  6. SonowalCJ. Factors Affecting the Nutritional Health of Tribal Children in Maharashtra. Studies on Ethno-Medicine. 2010; 4(1): 21- 36. doi: 10.1080/09735070.2010.1188635910.1080/09735070.2010.11886359 https://doi.org/10.1080/09735070.2010.11886359
  7. MitraMSahuPKChakrabartySBharatiSBharatiP. Nutritional and health status of Gond and Kawar tribal pre-school children of Chhattisgarh, India. J Hum Ecol. 2007; 21(4): 293-299. doi: 10.1080/09709274.2007.1190598810.1080/09709274.2007.11905988 https://doi.org/10.1080/09709274.2007.11905988
  8. International Institute for Population Sciences (IIPS) and Macro International. 2007. National Family Health Survey (NFHS- 3), 2005-06, India. https://dhsprogram.com/pubs/pdf/SR128/ SR128_updated_09-22-2015.pdf. Accessed April 18, 2022
  9. DasSBoseK. Prevalence of thinness among Santal preschool children using new body mass index cut-off points. Journal of Anthropology. 2011; 2011: 1-4. doi: 10.1155/2011/60278210.1155/2011/602782 https://doi.org/10.1155/2011/602782
  10. MahataLLGopeSMahatoKPBiswasS. Prevalence of Thinness among the Sabars School going Children of Purulia District, West Bengal, India. Anna Anthropol Research and Revie. 2022; 1(1): 58-66
  11. VidhyarthiLPUpadhyayVS. The Kharia: Then and Now. New Delhi, India: Concept Publishing Company; 1980
  12. ColeTJFlegalKMNichollsDJacksonAA. Body mass index cut offs to define thinness in children and adolescents: International survey. BMJ. 2007; 335(7612): 194-197. doi: 10.1136/ bmj.39238.399444.55
  13. LohmanTGRocheAFMartorellR. Anthropometric Standardization Reference Manual. IL, USA: Human Kinetics Books; 1988
  14. World Health Organization (WHO). Physical status: The use and interpretation of anthropometry. 1995. https://apps.who.int/ iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf?sequence=1&isAllowed=y. Accessed April 18, 2022
  15. PashaMAFatimaAVeeresappaDKPrasadRV. A socio-demographic study on prevalence of undernutrition among preschool children, under Rural Health Center, Santhiram Medical College, Nandyal, Andhra Pradesh. International Journal of Community Medicine and Public Health. 2017; 4(12): 4583-4588. doi: 10.18203/2394- 6040.ijcmph2017533410.18203/2394-6040.ijcmph20175334 https://doi.org/10.18203/2394-6040.ijcmph20175334
  16. GhoshMBhandariSBoseK. Anthropometric Characteristics and Nutritional Status of Adult Sabars of Bankura District, West Bengal. Human Biology Review. 2018; 7(1): 71-83
  17. ShahnawazMDSinghJB. Nutritional status among the children living in predominantly tribal block of Jhadol in District Udaipur, Rajasthan, India: A cross sectional study. Italian Journal of Public Health. 2014; 11(2): 1-7. doi: 10.2427/889310.2427/8893 https://doi.org/10.2427/8893
  18. AhmedTHossainMSaninKI. Global burden of maternal and child under-nutrition and micronutrient deficiencies. Ann Nutr Metab. 2012; 61 Suppl 1: 8-17. doi: 10.1159/00034516510.1159/000345165 https://doi.org/10.1159/000345165
  19. AggarwalTSrivastavaS. Nutritional status and its correlates in under five children of labour population in urban slums of Lucknow, Uttar Pradesh, India. Inter J Conte Pedia. 2017; 4(4): 1253- 1258. doi: 10.18203/2349-3291.ijcp2017251810.18203/2349-3291.ijcp20172518 https://doi.org/10.18203/2349-3291.ijcp20172518
  20. KhanQHAroraGNalliSK. Nutritional status of 1-5 years children in the urban slum area of Jagdalpur city, Bastar region, Chhattisgarh. Inter J Comm Med Pub Health. 2018; 5: 1172-1176. doi: 10.18203/2394-6040.ijcmph2018077910.18203/2394-6040.ijcmph20180779 https://doi.org/10.18203/2394-6040.ijcmph20180779
  21. PalAPariAKSinhaADharaPC. Prevalence of undernutrition and associated factors: A cross-sectional study among rural adolescents in West Bengal, India. Int J Pediatr Adolesc Med. 2017; 4(1): 9-18. doi: 10.1016/j.ijpam.2016.08.00910.1016/j.ijpam.2016.08.009 https://doi.org/10.1016/j.ijpam.2016.08.009
  22. MandalGCBoseKBisaiS. Thinness among rural children in Bengal. Indian J Pediatr. 2009; 76(8): 817-819. doi: 10.1007/s12098- 009-0178-y10.1007/s12098-009-0178-y https://doi.org/10.1007/s12098-009-0178-y
  23. BisaiSMannaI. Prevalence of thinness among urban poor pre-school children in West Bengal, India. Soudanese J Pub Health. 2010; 5(4): 193-198
  24. BiswasSBoseKBisaiSChakrabortyR. Prevalence of thinness among rural Bengalee pre-school children in Chapra, Nadia district, West Bengal, India. Malays J Nutr. 2009; 15: 155-164
  25. NayakRKWalvekarPRMallapurMD. Thinness among preschool children residing in rural area: A cross sectional study. J Sci Soc. 2015; 42: 78-81. doi: 10.4103/0974-5009.15703410.4103/0974-5009.157034 https://doi.org/10.4103/0974-5009.157034
  26. BharathiKRaoVLNKispottaS. Prevalence of thinness among the kolam pre-school children. Human Biology Review. 2015; 4(4): 337-346
  27. MahapatraBBoseK. Prevalence of Thinness among tribal preschool children of West Bengal: An assessment measured by BMI cut off points. Journal of Anthropology. 2020; 16(2): 213-222
  28. ChandraKGopeSMahataLLBiswasSBisaiS. Very high prevalence of thinness among the Kora-Mudi preschool children of Purulia District, West Bengal, India. Annals of Anthropological Research & Reviews. 2022; 1(2): 37-46