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Time trends in mid-upper-arm anthropometry from 1982 to 2011 in male children and adolescents from Kolkata, India

Published online by Cambridge University Press:  19 February 2020

Magdalena Żegleń
Affiliation:
Department of Anthropology, University of Physical Education, Kraków, Poland
Łukasz Kryst*
Affiliation:
Department of Anthropology, University of Physical Education, Kraków, Poland
Parasmani Dasgupta
Affiliation:
Biological Anthropology Unit, Indian Statistical Institute, Kolkata, India
Rana Saha
Affiliation:
Dinabandhu Mahavidyalaya, Bongaon, West Bengal, India
Rituparna Das
Affiliation:
Biological Anthropology Unit, Indian Statistical Institute, Kolkata, India
Sukanta Das
Affiliation:
Department of Anthropology, North Bengal University, Siliguri, West Bengal, India
*
*Corresponding author. Email: [email protected]

Abstract

The aim of this study was to investigate inter-generational changes in selected mid-upper-arm measurements of boys from Kolkata, India. The analysis was based on the anthropometric measurements of two cohorts of Bengali boys aged 7–16 from middle-class families, in 1982–83 and 2005–11. The two cohorts were compared in terms of their mid-upper-arm circumference (MUAC) and mid-upper-arm area (MUAA), mid-upper-arm muscle area (MUAMA), mid-upper-arm fat area (MUAFA) and Arm Fat Index (AFI). The significances of the differences were determined using two-way ANOVA. All features differed significantly between the examined cohorts and all showed a general positive secular trend. In most cases, the biggest differences were noted for 14- and 16-year olds and the smallest for the youngest boys. The contemporary boys seemed to have more favourable overall developmental conditions, probably related to socioeconomic progress in India over recent decades.

Type
Research Article
Copyright
© The Author(s) 2020. Published by Cambridge University Press

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References

Addo, OY, Himes, JH and Zemel, BS (2017) Reference ranges for midupper arm circumference, upper arm muscle area, and upper arm fat area in US children and adolescents aged 1–20 y. American Journal of Clinical Nutrition 105(1), 111120.Google ScholarPubMed
Arora, M, Shinde, S and Patwardhan, R (2017) Prevalence of overweight or obesity in adolescent school children from Pune, India. Imperial Journal of Interdisciplinary Research 3(3), 12721276.Google Scholar
Basu, D, Sun, D, Banerjee, I, Singh, YM, Kalita, JG and Rao, VR (2010) Cross-sectional reference values of upper arm anthropometry of the Khasi tribal adolescents of Meghalaya, India. Asia Pacific Journal of Clinical Nutrition 19(2), 283–238.Google ScholarPubMed
Bhalla, AK and Kaur, H (2016) Secular changes in mid-upper-arm circumference of Chandigarh Infants. Human Biology Review 5, 321331.Google Scholar
Bielicki, T, Szklarska, A, Kozieł, S and Ulijaszek, SJ (2005) Changing patterns of social variation in stature in Poland: effects of transition from a command economy to the free-market system? Journal of Biosocial Science 37(4), 427434.Google ScholarPubMed
Bolzan, A, Guimarey, L and Frisancho, AR (1999) Study of growth in rural school children from Buenos Aires, Argentina using upper arm muscle area by height and other anthropometric dimensions of body composition. Annals of Human Biology 26(2), 185193.Google Scholar
Caballero, B, Himes, JH, Lohman, T, Davis, SM, Stevens, J, Evans, M et al. (2003) Body composition and overweight prevalence in 1704 schoolchildren from 7 American Indian communities. American Journal of Clinical Nutrition 78(2), 308312.Google ScholarPubMed
Cândido, AP, Freitas, SN and Machado-Coelho, GL (2011) Anthropometric measurements and obesity diagnosis in schoolchildren. Acta Paediatrica 100(9), e120e124.CrossRefGoogle ScholarPubMed
Chaput, JP, Katzmarzyk, PT, Barnes, JD, Fogelholm, M, Hu, G, Kuriyan, R et al. (2017) Mid-upper arm circumference as a screening tool for identifying children with obesity: a 12-country study. Pediatric Obesity 12(6), 439445.CrossRefGoogle ScholarPubMed
Chowdhury, SD and Ghosh, T (2009) The upper arm muscle and fat area of Santal children: an evaluation of nutritional status. Acta Paediatrica 98(1), 103106.Google ScholarPubMed
Çiçek, B, Öztürk, A, Mazicioğlu, MM, Elmali, F, Turp, N and Kurtoğlu, S (2009) The risk analysis of arm fat area in Turkish children and adolescents. Annals of Human Biology 36(1), 2837.CrossRefGoogle ScholarPubMed
Çiçek, B, Öztürk, A, Mazıcıoğlu, MM and Kurtoğlu, S (2014) Arm anthropometry indices in Turkish children and adolescents: changes over a three-year period. Journal of Clinical Research in Pediatric Endocrinology 6(4), 216226.CrossRefGoogle Scholar
da Silva, CAB, de Antunes, MFR, da Silva, BAB, da Silva, LAB, da Silva, RAB and Brandao-Neto, J (2014) Changes in growth patterns due to nutritional adjustment in children of Northeast Brazil. Global Journal of Health Science 5, doi: 10.5339/jlghs.2014.5.Google Scholar
Das, R, Das, S, Datta Banik, S, Saha, R, Chakraborty, A and Dasgupta, P (2016) Secular trends in physical growth and maturation in 7 to 21 year-old Bengali boys and girls from Kolkata, India, over six decades of time interval. International Journal of Anthropology 31(3–4), 185226.Google Scholar
Dasgupta, A, Butt, A, Saha, TK, Basu, G, Chattopadhyay, A and Mukherjee, A (2010) Assessment of malnutrition among adolescents: can BMI be replaced by MUAC? Indian Journal of Community Medicine 35(2), 276279.CrossRefGoogle ScholarPubMed
Dasgupta, P and Das, SR (1997) A cross-sectional growth study of trunk and limb segments of the Bengali boys of Calcutta. Annals of Human Biology 24(4), 363369.CrossRefGoogle ScholarPubMed
Dasgupta, P, Nube, M, Sengupta, D and de Onis, M (2015) Academic Report of the Project “Physical Growth, Body Composition and Nutritional Status of Bengali School aged Children, Adolescents and Young adults of Calcutta, India: Effects of Socioeconomic Factors on Secular Trends” (ID 158). Indian Statistical Institute, Kolkata.Google Scholar
Dasgupta, P, Saha, R and Nubé, M (2008) Changes in body size, shape and nutritional status of middle-class Bengali boys of Kolkata, India, 1982–2002. Economics and Human Biology 6(1), 7594.CrossRefGoogle Scholar
Debnath, S, Mondal, N and Sen, J (2017) Use of upper arm anthropometry, upper arm muscle area-by-height (UAMAH) and midupper-arm-circumference (MUAC)-for-height as indicators of body composition and nutritional status among children. Anthropological Review 80(1), 85102.Google Scholar
Eveleth, PB and Tanner, JM (1976) Worldwide Variation in Human Growth (8th edition). CUP Archive, London.Google Scholar
Frisancho, AR (1990) Anthropometric Standards for the Assessment of Growth and Nutritional Status. University of Michigan Press, Michigan.CrossRefGoogle Scholar
Gamit, SS, Moitra, M and Verma, R (2015) Prevalence of obesity and overweight in school going adolescents of Surat city, Gujarat, India. International Journal of Medical Science 4(1), 4247.Google Scholar
Gharib, NM and Shah, P (2009) Anthropometry and body composition of school children in Bahrain. Annals of Saudi Medicine 29(4), 258269.Google ScholarPubMed
Guimarey, LM, Castro, LE, Torres, MF, Cesani, MF, Luis, MA, Quintero, FA and Oyhenart, EE (2014) Secular changes in body size and body composition in schoolchildren from La Plata City (Argentina). Anthropologischer Anzeiger 71(3), 287301.CrossRefGoogle Scholar
Gültekin, T, Özer, BK, Katayama, K and Akın, G (2007) Age-related patterns of upper arm muscle and fat area in Turkish children and assessment of nutritional status. International Journal of Anthropology 21(3–4), 231239.Google Scholar
Hajare, ST, Deoke, AR and Saoji, PA (2016) Lifestyle profile of High School students and its association with Body Mass Index in Nagpur city, Central India. Indian Journal of Community Medicine 28(3), 248253.Google Scholar
Heymsfield, SB and Stevens, J (2017) Anthropometry: continued refinements and new developments of an ancient method. American Journal of Clinical Nutrition 105, 12.Google ScholarPubMed
Horvat, V, Hraski, M and Sindik, J (2017) The secular changes in anthropometric measures of preschool girls in the period from 1998–2013. Paper presented at the 8th International Scientific Conference on Kinesiology. Croatia, Opatija.Google Scholar
International Statistical Institute (2017) Developing Countries. URL: https://www.isi-web.org/index.php/resources/developing-countries (accessed 1st January 2018).Google Scholar
Jaiswal, M, Bansal, R and Agarwal, A (2017) Role of mid-upper arm circumference for determining overweight and obesity in children and adolescents. Journal of Clinical and Diagnostic Research 11(8), SC05SC08.Google ScholarPubMed
Komlos, J and Baten, J (2004) Looking backward and looking forward: anthropometric research and the development of social science history. Social Science History 28(2), 191210.Google Scholar
Kryst, Ł, Kowal, M, Woronkowicz, A, Sobiecki, J and Cichocka, BA (2012) Secular changes in height, body weight, body mass index and pubertal development in male children and adolescents in Krakow, Poland. Journal of Biosocial Science 44(4), 495507.CrossRefGoogle ScholarPubMed
Kryst, Ł, Woronkowicz, A, Kowal, M, Pilecki, MW and Sobiecki, J (2016) Abdominal obesity screening tools in the aspects of secular trend. Anthropologischer Anzeiger 73(4), 295312.CrossRefGoogle ScholarPubMed
Kryst, Ł, Woronkowicz, A, Kowal, M and Sobiecki, J (2018) Intergenerational changes in limb circumferences in children and adolescents aged 3–18 from Kraków (Poland) from 1983 to 2010. American Journal of Human Biology 30(5), e23165.CrossRefGoogle ScholarPubMed
Kryst, Ł, Żegleń, M, Wronka, I, Woronkowicz, A, Bilińska-Pawlak, I, Das, R et al. (2019a) BMI and adiposity based approach to obesity: the need for ethnic specificity. A reply to Kapoor et al. (2019). Journal of Biosocial Science 51(4), 622623.CrossRefGoogle Scholar
Kryst, Ł, Żegleń, M, Wronka, I, Woronkowicz, A, Bilińska-Pawlak, I, Das, R et al. (2019b) Anthropometric variations in different BMI and adiposity levels among children, adolescents and young adults in Kolkata, India. Journal of Biosocial Science 51(4), 603618.Google Scholar
Malina, RM (1990) Research on secular trends in auxology. Anthropologischer Anzeiger 48(3), 209227.CrossRefGoogle ScholarPubMed
Mazıcıoğlu, MM, Hatipoğlu, N, Oztürk, A, Ciçek, B, Ustünbaş, HB and Kurtoğlu, S (2010) Waist circumference and mid-upper arm circumference in evaluation of obesity in children aged between 6 and 17 years. Journal of Clinical Research in Pediatric Endocrinology 2(4), 144150.CrossRefGoogle ScholarPubMed
Mondal, N and Sen, J (2010) Prevalence of undernutrition among children (5–12 years) belonging to three communities residing in a similar habitat in North Bengal, India. Annals of Human Biology 37(2), 199217.Google Scholar
Monir, Z, Monir, Z, Galal, A, Erfan, M and Ruby, M (2008) Assessment of growth and nutritional status of Egyptian children and adolescents using upper arm muscle area by height. Research Journal of Medicine and Medical Sciences 3(1), 6066.Google Scholar
Mori, H (2016) Secular changes in body height and weight of population in Japan since the end of WW II in comparison with South Korea. Monthly Bulletin of Social Science 636, 1325.Google Scholar
Özdemir, A, Önal, S and Özer, BK (2014) Evaluation of arm anthropometry and nutrition in Turkish preschool children. Вестник Московского университета. Серия 23(3), 57.Google Scholar
Pakrasi, K, Dasgupta, P, Dasgupta, I and Majumder, PP (1988) Growth in height, weight and skinfold thickness of Bengali boys of Calcutta, India. Anthropologischer Anzeiger 6(1), 116.CrossRefGoogle Scholar
Rao, S, Kanade, AN, Joshi, SB and SarodeRao, JS (2012) Secular trends in growth of preschool children from rural Maharashtra, India. Journal of Health, Population and Nutrition 30(4), 420430.Google ScholarPubMed
Rietsch, K, Eccard, JA and Scheffler, C (2013) Decreased external skeletal robustness due to reduced physical activity? American Journal of Human Biology 25(3), 404410.CrossRefGoogle ScholarPubMed
Scheffler, C, Krützfeldt, LM, Dasgupta, P and Hermanussen, M (2018) No association between fat tissue and height in 5019 children and adolescents, measured between 1982 and in 2011 in Kolkata/India. Anthropologischer Anzeiger 74(5), 403411.CrossRefGoogle ScholarPubMed
Sedlak, P, Pařízková, J, Procházková, L, Cvrčková, L and Dvořáková, H (2017) Secular changes of adiposity in Czech children aged from 3 to 6 years: latent obesity in preschool age. BioMed Research International 2017, 2478461.Google ScholarPubMed
Sen, J and Mondal, N (2013) Fat mass and fat-free mass as indicators of body composition among Bengalee Muslim children. Annals of Human Biology 40(3), 286293.CrossRefGoogle ScholarPubMed
Sharma, A, Sharma, K and Mathur, KP (2007) Growth pattern and prevalence of obesity in affluent schoolchildren of Delhi. Public Health Nutrition 10(5), 485491.CrossRefGoogle ScholarPubMed
Singhal, N, Misra, A, Shah, P, Rastogi, K and Vikram, NK (2010) Secular trends in obesity, regional adiposity and metabolic parameters among Asian Indian adolescents in north India: a comparative data analysis of two selective samples 5 years apart (2003, 2008). Annals of Nutrition and Metabolism 56(3), 176181.CrossRefGoogle Scholar
Sousa, B, Oliveira, BMPM and de Almeida, MDV (2012) Growth trends in boys and girls (10–17 years-old) from autonomous region of Madeira, Portugal between 1996–1998 and 2007–2009. Annals of Human Biology 39(6), 526529.CrossRefGoogle ScholarPubMed
UNICEF and WHO (2017) Levels and Trends in Child Malnutrition. Joint Child Malnutrition Estimates Edition. URL: https://data.unicef.org/wp-content/uploads/2017/05/JME-2017-brochure.pdf (accessed 27th December 2018).Google Scholar
World Bank (2018a) Czech Republic Data. URL: https://data.worldbank.org/country/czech-republic (accessed 27th December 2018).Google Scholar
World Bank (2018b) Data for India, World Data. URL: https://data.worldbank.org/?locations=IN-1W (accessed 27th December 2018).Google Scholar