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Multiple Risk Factors Contribute to Childhood Stunting in Karnataka, India


Affiliations
1 Tata Cornell Institute, Cornell University, Ithaca, NY 14853, United States
2 Department of Biology and Society, Cornell University, Ithaca, NY 14853, United States
3 Centre for Human Genetics, Electronics City Phase 1, Electronic City, Bengaluru 560 100, India
4 Tata Cornell Institute, Cornell University, Ithaca, NY 14853, USA, India
 

Childhood stunting remains a prominent metric in the health and development of modern India. In Karnataka, India, districts vary substantially in stunting prevalence. Here we take a close look at the nature of childhood stunting in the state: its epidemiology, gene¬tics, biology, nutritional basis, environmental contribution, policy and field-based understanding. We explore how these factors interact with one another, and suggest ways to target modifiable risk factors for stunting (e.g. nutrition, exposure to infectious diseases, sanitation), which may influence the impact of non-modifiable risk factors (e.g. congenital factors, climate). We suggest that programmes designed to reduce stunting prevalence should accommodate these complex interactions, which could translate to more substantial impact on child health outcomes

Keywords

Childhood Stunting, Environment, Genetics, Public Health, Risk Factors.
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  • de Onis, M. and Branca, F., Childhood stunting: a global perspective. Matern. Child Nutr., 2016, 12(Suppl. 1), 12–26.
  • World Health Organization. WHO Child Growth Standards: Training Course on Child Growth Assessment. WHO Press, Geneva, Switzerland. 2008.
  • Adair, L. S., Discussion on economic drivers and consequences of stunting. Nestle Nutr. Inst. Workshop Ser., 2013, pp. 143–146.
  • Mendez, M. A. and Adair, L. S., Severity and timing of stunting in the first two years of life affect performance on cognitive tests in late childhood. J. Nutr., 1999, 129, 1555–1562.
  • Guerrant, R. L., DeBoer, M. D., Moore, S. R., Scharf, R. J. and Lima, A. A. M., The impoverished gut – a triple burden of diarrhoea, stunting and chronic disease. Nat. Rev. Gastroenterol. Hepatol., 2013, 10, 220–229.
  • UNICEF, Stop Stunting UNICEF India; https://www.unicef.org/india/what-we-do/stop-stunting (accessed on 30 June 2021).
  • Census of India 2011: Karnataka. Directorate of Census Operations, Karnataka. 2011.
  • Swaminathan, S. et al., India state-level disease burden initiative malnutrition collaborators, The burden of child and maternal malnutrition and trends in its indicators in the states of India: the
  • Global Burden of Disease Study 1990–2017. Lancet Child Adolesc Health, 2019.
  • Dandona, L. et al., Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of disease study. Lancet, 2017, 390, 2437–2460.
  • Pampackal, A. J., Nguyen, P. H., Avula, R., Tran, L. M. and Menon, P., Improving Nutrition in Karnataka: Insights from Examining Trends in Outcomes, Determinants and Interventions between 2006 and 2016, International Food Policy Research Institute, 2017.
  • India state-level disease burden initiative CGF collaborators, mapping of variations in child stunting, wasting and underweight within the states of India: the Global Burden of Disease Study 2000–2017. EClinical Med., 2020, 22, 100317.
  • Mohanty, S. K., Mishra, N. R., Khan, J., Vasishtha, G. and Mishra, U. S., State of health in the districts of India. In The Demographic and Development Divide in India: A District-Level Analyses (eds Mohanty, S. K., Mishra, U. S. and Chauhan, R. K.), Springer Singapore, Singapore, 2019, pp. 329–373.
  • Ramakrishna, T. V. and Kamakshi, G., Bioresource Potential of Karnataka Technical Report 109, Centre for Ecological Sciences, Indian Institute of Science, Bangalore, 2005.
  • Banerjee, R. and Maharaj, R., Heat, infant mortality, and adaptation: evidence from India. J. Dev. Econ., 2020, 143, 102378.
  • Schlenker, W. and Lobell, D. B., Robust negative impacts of climate change on African agriculture. Environ. Res. Lett., 2010, 5, 014010.
  • Shively, G., Sununtnasuk, C. and Brown, M., Environmental variability and child growth in Nepal. Health Place, 2015, 35, 37–51.
  • Cooper, M. W. et al., Mapping the effects of drought on child stunting. Proc. Natl. Acad. Sci. USA, 2019, 116, 17219–17224.
  • Raj, S. M., Ekanayake, R., Crowley, K., Bhat, M., Kadandale, J. and Pingali, P. L., Risk factors in childhood stunting in Karnataka state vary by geography. Curr. Sci., 2021, in press.
  • World Health Organization. Congenital anomalies, 2020; https://www.who.int/news-room/fact-sheets/detail/congenital-anomalies (accessed on 30 June 2021).
  • Christianson, A. L., Howson, C. P. and Modell, B., Global Report on Birth Defects: The Hidden Toll of Dying and Disabled Children, March of Dimes Birth Defects Foundation, White Plains, NY, 2006.
  • World Health Organization, Birth Defects in South East Asia: A Public Health Challenge, WHO, New Deli, India, 2013.
  • Verma, I. C. and Kumar, D., Epidemiology of genetic diseases in the Indian subcontinent. Genomics and Health in the Developing World, Oxford University Press, Oxford, UK, 2012.
  • Kulkarni, M. L., Mathew, M. A. and Ramachandran, B., High incidence of neural-tube defects in South India. Lancet, 1987, 1, 1260.
  • Kulkarni, M. L., Mathew, M. A. and Reddy, V., The range of neural tube defects in southern India. Arch. Dis. Child., 1989.
  • Tienboon, P., Sanguansermsri, T. and Fuchs, G. J., Malnutrition and growth abnormalities in children with beta thalassemia major. Southeast Asian J. Trop. Med. Public Health, 1996, 27, 356–361.
  • Mohanty, D. et al., Prevalence of β -thalassemia and other haemoglobinopathies in six cities in India: a multicentre study. J. Commun. Genet., 2013, 4, 33–42.
  • Appaji Rao, N., Radha Rama Devi, A., Savithri, H. S., Venkat Rao, S. and Rezvani, I., Defects in metabolism of amino acids.
  • Behrman Bittles AH. Neonatal screening for aminoacidemias in Karnataka, South India. Clin. Genet., 1988, 34, 60–63.
  • Kaur, M., Das, G. P. and Verma, I. C., Inborn errors of amino acid metabolism in north India. J. Inherit. Metab. Dis., 1994, 17, 230– 233.
  • Kumar, A., Kalra, S. and Unnikrishnan, A. G., Iodized salt in India: Insights from National Family Health Survey-4. Thyroid Res. Practice, 2016, 13, 49.
  • Ravikanth, L. and Kumar, K. S. K., Caught in the ‘Net’: fish consumption patterns of coastal regions in India. Madras School of Economics, 2015, 1–30.
  • Kiresur, V. R. and Chourad, R., Nutrient intake optimization in Karnataka: a linear programming approach. Agric. Econ. Res. Rev., 2015, 28, 147–156.
  • Kaur, K. D., Jha, A., Sabikhi, L. and Singh, A. K., Significance of coarse cereals in health and nutrition: a review. J. Food Sci. Technol., 2014, 51, 1429–1441.
  • Minj, C., Ramakrishna Goud, B., James, D., Furruqh, F., Mohammad, A. and Bhavan, R. K., Impact of School mid day meal program on the Nutritional status of children in a rural area of South Karnataka, India, 2014.
  • Mirajkar, B. C., Ravindra, U. and Narayanaswamy, T., An overview of mid-day meal scheme in Karnataka. Food Sci. Res. J., 2016, 7(2), 319–326.
  • Anitha, S. et al., Acceptance and impact of millet-based mid-day meal on the nutritional status of adolescent school going children in a Peri urban region of Karnataka state in India. Nutrients, 2019, 11(9), 2077.
  • Kulkarni, T., An all-new midday meal menu for students in Karnataka. The Hindu, 27 October 2019.
  • WHO, Diarrhoeal Disease, World Health Organization, Geneva, Switzerland, 2017.
  • Lakshminarayanan, S. and Jayalakshmy, R., Diarrheal diseases among children in India: current scenario and future perspectives. J. Nat. Sci. Biol. Med., 2015, 6, 24–28.
  • Dandabathula, G., Bhardwaj, P., Burra, M., Prasada Rao, P. V. and Rao, S., Impact assessment of India’s Swachh Bharat Mission – Clean India Campaign on acute diarrheal disease outbreaks: yes, there is a positive change. J. Family Med. Primary Care, 2019, 1202.
  • Ramanathan, M. and Vijayan, B., Covariates of diarrhoea among under-five children in India: are they level dependent? PLoS ONE, 2019, 14, e0221200.
  • Nilima, K. A., Shetty, K., Unnikrishnan, B., Kaushik, S. and Rai, S. N., Prevalence, patterns, and predictors of diarrhea: a spatialtemporal comprehensive evaluation in India. BMC Public Health, 2018, 18, 1288.
  • Shetty, R. S., Kamath, V. G., Nayak, D. M., Hegde, A. and Saluja, T., Rotavirus associated acute gastroenteritis among under-five children admitted in two secondary care hospitals in southern Karnataka, India. Clin. Epidemiol. Global Health, 2017, 5, 28–32.
  • Green, M. A., Corsi, D. J., Mejía-Guevara, I. and Subramanian, S. V., Distinct clusters of stunted children in India: an observational study. Matern. Child Nutr., 2018.
  • Stewart, C. P., Iannotti, L., Dewey, K. G., Michaelsen, K. F. and Onyango, A. W., Contextualising complementary feeding in a broader framework for stunting prevention. Matern. Child Nutr., 2013, 9(Suppl. 2), 27–45.

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  • Multiple Risk Factors Contribute to Childhood Stunting in Karnataka, India

Abstract Views: 250  |  PDF Views: 96

Authors

Srilakshmi M. Raj
Tata Cornell Institute, Cornell University, Ithaca, NY 14853, United States
Ruwanthi Ekanayake
Department of Biology and Society, Cornell University, Ithaca, NY 14853, United States
Meenakshi Bhat
Centre for Human Genetics, Electronics City Phase 1, Electronic City, Bengaluru 560 100, India
Jayarama Kadandale
Centre for Human Genetics, Electronics City Phase 1, Electronic City, Bengaluru 560 100, India
Prabhu L. Pingali
Tata Cornell Institute, Cornell University, Ithaca, NY 14853, USA, India

Abstract


Childhood stunting remains a prominent metric in the health and development of modern India. In Karnataka, India, districts vary substantially in stunting prevalence. Here we take a close look at the nature of childhood stunting in the state: its epidemiology, gene¬tics, biology, nutritional basis, environmental contribution, policy and field-based understanding. We explore how these factors interact with one another, and suggest ways to target modifiable risk factors for stunting (e.g. nutrition, exposure to infectious diseases, sanitation), which may influence the impact of non-modifiable risk factors (e.g. congenital factors, climate). We suggest that programmes designed to reduce stunting prevalence should accommodate these complex interactions, which could translate to more substantial impact on child health outcomes

Keywords


Childhood Stunting, Environment, Genetics, Public Health, Risk Factors.

References





DOI: https://doi.org/10.18520/cs%2Fv121%2Fi3%2F360-364