RGUHS Nat. J. Pub. Heal. Sci Vol No: 9 Issue No: 3 eISSN: 2584-0460
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1Senior Research Fellow
2Professor and Head, Life course Epidemiology, Indian Institute of Public Health - Bangalore Public Health Foundation of India, Bengaluru - 560023
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Malnutrition is a comprehensive term that includes undernutrition, micronutrient-related imbalances, and overnutrition.1 Nutritional imbalances in either direction have a significant detrimental effect on morbidity and mortality. Undernutrition and micronutrient deficiency result in physical wasting, stunting, and improper growth and development, particularly in young children. Overnutrition can result in excessive weight gain, obesity, and diet or lifestyle-related non-communicable diseases (NCDs) in adolescents and adulthood.1-3 Therefore, the double burden of malnutrition is a major public health concern worldwide. Further, owing to large socio-economic disparities within low-and middle-income countries including India, the health systems have to prioritize addressing maternal and child undernutrition in reducing the burden of obesity and related NCDs.4-6
Child and maternal malnutrition are responsible for 17·3% (16·3–18·2) of the total disability-adjusted life years (DALYs) across all ages. In India, 68.2% of under-five deaths in children and 67.1% of total DALYs are attributable to malnutrition, which is the leading risk factor for health loss for all ages.4 In 2017, India had one-fourth of the total global DALYs attributable to child and maternal malnutrition.4 Similarly, the DALY rate attributable to malnutrition in children under five years was 50 627 (47 301–54 199) in 2017. The highest proportion of malnutrition DALYs in under-5 was due to low birth weight and short for gestational age 43.6 (95% UI 41.8 to 45.2), followed by child growth failure (20·7%, 19·0–22·5). The highest contribution to DALYs resulting in child growth failure was from child wasting (19·0%, 95% UI 16·2–21·2), followed by child underweight (7.16% 95% UI 6.01 to 8.97) and child stunting (4.09%, 95% UI 1.88 to 7.44).4 While undernutrition has been a historical concern, overnutrition is steadily rising. The National Family Health Survey (NFHS)-5 data of 2019- 21 shows, 35.5% of children aged under five years were stunted, 19.3 were wasted, 32.1 % were underweight,4 and the number of overweight children increased from 2.1 per cent in National Family Health Survey (NFHS)-4 to 3.4 per cent.5
Children in low- and middle-income countries (LMICs), especially girls, are prone to inadequate nutrition throughout their life course. The disparity in nutritional status affects trans-generally, in a vicious perpetual cycle right from the fetal stage to infancy. As they grow up, these low-nutrient foods, coupled with low physical activity and continuous access to digital media, increase childhood obesity while undernutrition issues remain unresolved. The recentComprehensive National Nutrition Survey (CCNS) survey across the country reported that 35% of children aged 5 to 9 years are underweight. In comparison, 8% had high adiposity measured through subscapular skinfold thickness (SSFT) for their age.6 The malnourishment of the mother and child is closely linked. It is well known that maternal weight and overall nutritional and health status impact the neonate’s health. In cases where the mother is chronically undernourished at the time of conception and through pregnancy, there is an increased risk of adverse birth outcomes such as intrauterine growth restriction and low birth weight (<2500 gm).7-9
On the other hand, excessive gestational weight gain, maternal obesity, and related pregnancy complications such as gestational diabetes mellitus (GDM) are associated with the birth of large for gestational age (LGA) babies, as indicated by high body mass index and adiposity.10-13 Infants of mothers with increased prepregnancy weight and weight gain in pregnancy have a greater risk of macrosomia and adiposity. Adiposity was further related to increased infant blood pressure.14 Maternal obesity severely impacts a child’s growth and development; it increases the child’s risk of obesity, coronary heart disease, non-alcoholic fatty liver disease (NAFLD), and type 2 diabetes.15,16 Gestational diabetes has a higher risk for newborn adiposity. This has been proven by the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study and several other investigations in the past too.17 Tint et al., have shown an association between maternal glycemia and neonatal abdominal adiposity.18 Several studies have shown that babies born to mothers with gestational diabetes mellitus (GDM), obesity, and high triglyceride levels are at risk of greater adiposity.19,20
Further, recent studies have established that large for gestation-age (LGA) babies are predisposed to obesity in later stages of life.21,22 Similarly, evidence suggests babies born with high BMI tend to be overweight during the growing years and adulthood.23,24 Childhood obesity can greatly impact the child’s physical, emotional and social well-being. Overweight and obese children also are known to have psychosocial distress.
Globally, childhood obesity is increasing and reaching alarming proportions. The prevalence of overweight increased from 4.8% in 1990 to 5.9% in 2018.25 The World Health Organization (WHO) estimated that 38 million children under five years were obese in 2019.26 Once considered the problem of affluent countries, obesity is steadily gripping low- and middle-income countries (LMICs). The LMICs are burdened with a high incidence of cardiovascular diseases with increasing longevity. The catastrophic out-of-pocket expenditure is increasingly the major reason for impoverishment.
Interestingly, although most previous evidence indicated that low birth weight babies are at decreased risk of childhood and adult obesity,27 some of the more recent findings have contradicted this notion. The biological mechanisms for this paradoxical association remain unclear. Still, some reports indicate that low birth weight babies may be at higher risk of obesity and diabetes in adulthood.28
However, the adverse pregnancy outcome in the form of adiposity due to malnutrition in the mother is incomplete without studying the effect of undernutrition.29 Earlier evidence has rendered a link between nutritional insults during pregnancy resulting in low birth weight and insulin resistance, glucose intolerance, and adiposity in adulthood. Various mechanisms have been proposed to understand fetal reprogramming. This involves increased oxidative stress, inflammation, alteration in circadian rhythm, increased activity of hypothalamicpituitary-adrenal (HPA), and epigenetic alterations, among several others.30,31
A woman’s height and leg length are direct markers of her nutritional status as a child. Leg length is a reliable marker of maternal undernutrition due to the cephalo-caudal gradient in growth from birth until puberty. Those individuals that receive adequate nutrition in childhood have relatively long legs. National Health and Nutrition Examination Survey (NHANES) study has shown that women with short legs had greater body fat percentages, insulin resistance, and a higher prevalence of type 2 diabetes mellitus.32 Among South African girls, shorter relative leg length was independently associated with increased waist circumference.33 Short stature has been associated with overweight and child mortality, anaemia, stunting, and growth retardation.34,35 Maternal height and leg length’s positive association with neonatal birthweight was proven in previous studies;36-38 however, more research is needed concerning adiposity. Pune children’s study has established the positive association of adult leg length with birth weight and regional lean mass measurements. Leg length was also inversely related to body mass index.
Shorter leg length exposes an individual to a greater risk of metabolic diseases.39 Caerphilly study showed that leg length was related to insulin resistance and high Homeostasis Model Assessment (HOMA) scores among men.40 The PROMISE study showed that leg length was related to insulin sensitivity index and β- cell function. In a Brazilian cohort, a one-unit decrease in relative leg-length Z score was associated with a 12% higher prevalence of diabetes in men and women.41 Many epidemiologic studies have proven that women with GDM have shorter leg lengths.42-45 In the Pune Maternal Nutrition study, high glucose values during pregnancy were traceable to higher glucose values from the age of six years. Hence, GDM is no longer a random event but has its antecedents from childhood days.46
The ‘thrifty phenotype’ hypothesis proposes that poor nutrition of mothers during gestation leads to the programming of metabolism in the fetus, which results in obesity in later stages. This is particularly true if the child goes on to receive a high-calorie diet. Poor nutrition in the mother’s early life results in low birth weight, predisposing her offspring to increased cardiovascular disease risk in later life. Studies in lab animals have strengthened the thrifty phenotype hypothesis that suggests that a mother’s undernutrition during gestation increases the metabolism of adipocytes and fat mass of the fetus, which results in obesity in later stages.47
Along with the ongoing battle with undernutrition, India is facing a rising epidemic of obesity and diabetes. It is important to study how these factors could be interrelated. It is imperative to curb undernutrition to handle the burgeoning problem of obesity in the country. Nutrition calls for a whole of government and whole of community approach. It is important to bring awareness among the community about breastfeeding, avoiding junk food and going for healthy local and seasonal food, using clean water and sanitation. Various departments like agriculture, women and child development, water and sanitation, department of education, information technology, media and communication will have to converge to manage malnutrition in the country. It is very important that adequate finance, manpower, technology and resources are designated to reach the nutrition targets by 2030.
Conflict of interest
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Supporting File
References
- Fact sheets - malnutrition [Internet]. World Health Organization. World Health Organization; 2022 [cited 2022Dec20]. Available from: https://www. who.int/news-room/fact-sheets/detail/malnutrition
- Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet 2008;371(9608):243- 60.
- Perng W, Oken E, Dabelea D. Developmental overnutrition and obesity and type 2 diabetes in offspring. Diabetologia 2019;62(10):1779-88.
- Swaminathan S, Hemalatha R, Pandey A, Kassebaum NJ, Laxmaiah A, Longvah T, et al. 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;3(12):855-70.
- Release of NFHS-5 (2019-21) - compendium of factsheets: Ministry of Health and Family Welfare: GOI [Internet]. Ministry of Health and Family Welfare | GOI. [cited 2022Dec20]. Available from: https://main.mohfw.gov.in/basicpage-14
- Ministry of Health and Family Welfare (MoHFW) GoI. Comprehensive National Nutrition Survey (CNNS) National Report. New Delhi: UNICEF and Population Council 2019; 2019.
- Abu-Saad K, Fraser D. Maternal nutrition and birth outcomes. Epidemiol Rev 2010;32(1):5-25.
- Triunfo S, Lanzone A. Impact of maternal under nutrition on obstetric outcomes. J Endocrinol Invest 2015;38(1):31-8.
- Singh DP, Biradar RA, Halli SS, Dwivedi LK. Effect of maternal nutritional status on children nutritional status in India. Child Youth Serv Rev 2021;120:105727.
- Poston L, Harthoorn LF, van der Beek EM. On behalf of contributors to the iew. obesity in pregnancy: implications for the mother and lifelong health of the child. A consensus statement. Pediatr Res 2011;69(2):175-80.
- Liu L, Ma Y, Wang N, Lin W, Liu Y, Wen D. Maternal body mass index and risk of neonatal adverse outcomes in China: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2019;19(1):105.
- Godfrey KM, Reynolds RM, Prescott SL, Nyirenda M, Jaddoe VW, Eriksson JG, et al. Influence of maternal obesity on the long-term health of offspring. Lancet Diabetes Endocrinol 2017;5(1):53-64.
- Drake AJ, Reynolds RM. Impact of maternal obesity on offspring obesity and cardiometabolic disease risk. Reproduction 2010;140(3):387-98.
- Vohr BR, McGarvey ST, Coll CG. Effects of maternal gestational diabetes and adiposity on neonatal adiposity and blood pressure. Diabetes Care 1995;18(4):467-75.
- Ford ND, Patel SA, Narayan KMV. Obesity in low- and middle-income countries: burden, drivers, and emerging challenges. Annu Rev Public Health 2017;38(1):145-64.
- Kislal S, Shook LL, Edlow AG. Perinatal exposure to maternal obesity: lasting cardiometabolic impact on offspring. Prenat Diagn 2020;40(0):1109-1125.
- Metzger BE, Lowe LP, Dyer AR, Trimble ER, Sheridan B, Hod M, et al. Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study: associations with neonatal anthropometrics. Diabetes 2009;58(2):453-9.
- Tint MT, Sadananthan SA, Soh SE, Aris IM, Michael N, Tan KH, et al. Maternal glycemia during pregnancy and offspring abdominal adiposity measured by MRI in the neonatal period and preschool years: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective mother–offspring birth cohort study. Am J Clin Nutr 2020;112(1):39-47.
- McCloskey K, Ponsonby AL, Collier F, Allen K, Tang M, Carlin J, et al. The association between higher maternal pre‐pregnancy body mass index and increased birth weight, adiposity and inflammation in the newborn. Pediatr Obes 2018;13(1):46-53.
- Samsuddin S, Arumugam PA, Md. Amin MS, Yahya A, Musa N, Lim LL, et al. Maternal lipids are associated with newborn adiposity, independent of GDM status, obesity and insulin resistance: a prospective observational cohort study. BJOG 2020;127(4):490-9.
- Derraik JGB, Maessen SE, Gibbins JD, Cutfield WS, Lundgren M, Ahlsson F. Large-for-gestationalage phenotypes and obesity risk in adulthood: a study of 195,936 women. Sci Rep 2020;10(1):2157.
- Qiao Y, Ma J, Wang Y, Li W, Katzmarzyk PT, Chaput JP, et al. Birth weight and childhood obesity: a 12-country study. Int J Obes Suppl 2015;5(Suppl 2):S74-S9.
- Winter JD, Langenberg P, Krugman SD. Newborn adiposity by body mass index predicts childhood overweight. Clin Pediatr 2010;49(9):866-70.
- Simmonds M, Llewellyn A, Owen C, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta‐analysis. Obes Rev 2016;17(2):95-107.
- Di Cesare M, Sorić M, Bovet P, Miranda JJ, Bhutta Z, Stevens GA, et al. The epidemiological burden of obesity in childhood: a worldwide epidemic requiring urgent action. BMC Med 2019;17(1):212.
- Obesity and overweight [Internet]. World Health Organization. World Health Organization; 2022 [cited 2022Dec20]. Available from: https://www. who.int/news-room/fact-sheets/detail/obesity-and-overweight
- Schellong K, Schulz S, Harder T, Plagemann A. Birth weight and long-term overweight risk: systematic review and a meta-analysis including 643,902 persons from 66 studies and 26 countries globally. PLoS One 2012;7(10):e47776.
- Jornayvaz FR, Vollenweider P, Bochud M, Mooser V, Waeber G, Marques-Vidal P. Low birth weight leads to obesity, diabetes and increased leptin levels in adults: the CoLaus study. Cardiovasc Diabetol 2016;15:73.
- Anik AI, Rahman MM, Rahman MM, Tareque MI, Khan MN, Alam MM. Double burden of malnutrition at household level: A comparative study among Bangladesh, Nepal, Pakistan, and Myanmar. PloS One 2019;14(8):e0221274.
- Lakshmy R. Metabolic syndrome: Role of maternal undernutrition and fetal programming. Rev Endocr Metab Disord 2013;14(3):229-40.
- Khanal P, Nielsen MO. Maternal undernutrition and visceral adiposity. In: Rajendram R, Preedy VR, Patel VB, eds. Diet, Nutrition, and Fetal Programming. New York: Humana Press; 2017. p. 91-105.
- Asao K, Kao WL, Baptiste-Roberts K, Bandeen-Roche K, Erlinger TP, Brancati FL. Short stature and the risk of adiposity, insulin resistance, and type 2 diabetes in middle age: the Third National Health and Nutrition Examination Survey (NHANES III), 1988–1994. Diabetes Care 2006;29(7):1632-7.
- Said-Mohamed R, Prioreschi A, Nyati LH, van Heerden A, Munthali RJ, Kahn K, et al. Rural– urban variations in age at menarche, adult height, leg-length and abdominal adiposity in black South African women in transitioning South Africa. Ann Hum Biol 2018;45(2):123-32.
- Subramanian SV, Ackerson LK, Davey Smith G, John NA. Association of maternal height with child mortality, anthropometric failure, and anemia in India. JAMA 2009;301(16):1691-701.
- Félix-Beltrán L, Macinko J, Kuhn R. Maternal height and double-burden of malnutrition households in Mexico: stunted children with overweight or obese mothers. Public Health Nutr 2020;24(1):106-16.
- Pomeroy E, Wells JC, Cole TJ, O’Callaghan M, Stock JT. Relationships of maternal and paternal anthropometry with neonatal body size, proportions and adiposity in an Australian cohort. Am J Phys Anthropol 2015;156(4):625-36.
- Chung GC, Kuzawa CW. Intergenerational effects of early life nutrition: maternal leg length predicts offspring placental weight and birth weight among women in rural Luzon, Philippines. Am J Hum Biol 2014;26(5):652-9.
- Lawlor DA, Davey Smith G, Ebrahim S. Association between leg length and offspring birthweight: partial explanation for the trans‐generational association between birthweight and cardiovascular disease: findings from the British Women’s Heart and Health Study. Paediatr Perinat Epidemiol 2003;17(2):148- 55.
- Johnston L. Association of leg length with metabolic abnormalities underlying type 2 diabetes mellitus [Internet]. TSpace. 2013 [cited 2022Dec20]. Available from: https://tspace.library.utoronto.ca/ handle/1807/42975
- Davey Smith G, Greenwood R, Gunnell D, Sweetnam P, Yarnell J, Elwood P. Leg length, insulin resistance, and coronary heart disease risk: The Caerphilly study. J Epidemiol Community Health 2001;55(12):867-72.
- Mueller NT, Duncan BB, Barreto SM, Chor D, Vigo A, Aquino EM, et al. Relative leg length is associated with type 2 diabetes differently according to pubertal timing: The Brazilian longitudinal study of adult health. Am J Hum Biol 2015;27(2):219-25.
- Moses RG, Mackay MT. Gestational diabetes: is there a relationship between leg length and glucose tolerance? Diabetes Care 2004;27(5):1033-5.
- Ma RM, Lao TT, Ma CL, Liao SJ, Lu YF, Du MY, et al. Relationship between leg length and gestational diabetes mellitus in Chinese pregnant women. Diabetes Care 2007;30(11):2960-1.
- Martín Moreno V, Gómez Gandoy JB, Antoranz González MJ, Gómez de la Cámara A. Height, leg length, adiposity and metabolic-cardiovascular risk in women aged 35-55 years. Nutr Hosp 2003;18(6):341-7.
- Ogonowski J, Miazgowski T. Are short women at risk for gestational diabetes mellitus? Eur J Endocrinol 2010;162(3):491.
- Memane NS, Bhat D, Raut DA, Bondarde SJ, Ladkat R, Yajnik PC, et al. Pregnancy glycemia reflects life course glycemia of the mother. Diabetes 2018;67(Suppl 1):118.
- Budge H, Gnanalingham MG, Gardner DS, Mostyn A, Stephenson T, Symonds ME. Maternal nutritional programming of fetal adipose tissue development: Long‐term consequences for later obesity. Birth Defects Res C Embryo Today 2005;75(3):193-9.