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Challenges in child and adolescent nutrition

Published online by Cambridge University Press:  31 December 2018

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Abstract

Type
Editorial
Copyright
© The Author 2018 

In this issue, we feature articles on nutrition in children and adolescents from around the word, encompassing both undernutrition in India( Reference Meshram, Mallikharjun Rao and Balakrishna 1 ), Bangladesh( Reference Mistry, Hossain and Khanam 2 ), Iran( Reference Fatemi, Fararouei and Moravej 3 ) and Turkey( Reference Comba, Demir and Eren 4 ) and overnutrition in Brazil( Reference Filgueiras, Vieira and Fonseca 5 , Reference Filgueiras, Cecon and Faria 6 ). One article( Reference Tran, Biggs and Holton 7 ) reports on the prevalence of anaemia and stunting in 193 065 children aged 6–59 months in forty-three low- and middle-income countries using data from Demographic and Health Surveys during the period 2005–2015. Overall, 21.5 % of children surveyed were both anaemic and stunted, and the prevalence of these co-morbidities was associated with residence in rural areas, less educated mothers and poorer households. This is consistent with the findings from India and Bangladesh reported here, illustrating the sort of important risk factors that could be addressed to improve childhood undernutrition.

New prevalence thresholds for wasting, overweight and stunting from the WHO–UNICEF Technical Expert Advisory Group on Nutrition Monitoring are presented in this issue by de Onis et al. ( Reference de Onis, Borghi and Arimond 8 ). The new thresholds are based on the normative WHO Child Growth Standards and for the first time include thresholds for over- as well as undernutrition; and they should be used in future studies. From Brazil, on the other hand, Filgueiras et al. ( Reference Filgueiras, Vieira and Fonseca 5 ) report on assessment of android fat in children aged 4–9 years using anthropometric methods (waist circumference, waist-to-height ratio, conicity index). For the 30 % of the sample who were overweight, about 30 % also had excess android fat by dual-energy X-ray absorptiometry (DXA) and the anthropometric measures showed good agreement with DXA in identifying android fat. These simple anthropometric measures could be useful in population surveys. Staying in Brazil, another article by Filgueiras et al. ( Reference Filgueiras, Cecon and Faria 6 ) describes the association of body adiposity indices with DXA-derived body fat in children and adolescents aged 8–19 years. Although sensitivity, specificity and area under the curve suggested some value in the adiposity indices, Bland–Altman plots indicated that for lower levels of body fat the indices overestimated body fat, while at higher levels, the indices underestimated body fat relative to DXA.

Other articles in this issue look at fussiness in food selection in Irish children, which may put them at risk of inadequate nutrient intakes in the context of a 20 % prevalence of childhood overweight and obesity( Reference Rahill, Kennedy and Walton 9 ), and consumption of non-core foods by UK adolescents( Reference Toumpakari, Tilling and Haase 10 ). The likelihood of eating non-core foods was increased when adolescents consumed food out of home, especially in eateries, leading the authors to conclude that targeting such eating occasions may be useful. Lambrinou et al. ( Reference Lambrinou, van Stralen and Androutsos 11 ) report on the ToyBox intervention in kindergartens across six European countries that aimed to improve fruit and vegetable consumption and reduce intake of unhealthy snacks via a family-based intervention. The intervention improved some of the family-related determinants but not the actual snacking habits of the pre-school children. Another short intervention in US elementary schools improved nutrition knowledge and preference for fruit and vegetables( Reference Schmitt, Bryant and Korucu 12 ). Oddo et al. ( Reference Oddo, Roshita and Rah 13 ) review the literature on nutrition interventions for adolescents in Indonesia and, although there was limited information, recommended iron–folic acid supplements, anti-helminths and nutrition education delivered through schools, along with further work on this topic. For Canadian street-involved youth who used illicit drugs, food insecurity was common and was associated with depression( Reference Goldman-Hasbun, Nosova and DeBeck 14 ).

These papers show the great variety of ways in which nutrition in children and adolescents can be studied and the ongoing challenges to ensure all children receive optimal nutrition.

References

1. Meshram, II, Mallikharjun Rao, K, Balakrishna, N et al. (2019) Infant and young child feeding practices, sociodemographic 2 factors and their association with nutritional status of children aged <3 years in India: findings of the National Nutrition Monitoring Bureau survey, 2011–2012. Public Health Nutr 22, 000000 Google Scholar
2. Mistry, SK, Hossain, MB, Khanam, F et al. (2019) Individual-, maternal- and household-level factors associated with stunting among children aged 0–23 months in Bangladesh. Public Health Nutr 22, 000000.Google Scholar
3. Fatemi, MJ, Fararouei, M, Moravej, H et al. (2019) Stunting and its associated factors among 6–7-year-old children in southern Iran: a nested case–control study. Public Health Nutr 22, 000000.Google Scholar
4. Comba, A, Demir, E & Eren, NB (2019) Nutritional status and related factors of school children in Çorum, Turkey. Public Health Nutr 22, 000000.Google Scholar
5. Filgueiras, MS, Vieira, SA, Fonseca, PCA et al. (2019) Waist circumference, waist-to-height ratio and conicity index to evaluate android fat excess in Brazilian children. Public Health Nutr 22, 000000.Google Scholar
6. Filgueiras, MS, Cecon, RS, Faria, ER et al. (2019) Agreement of body adiposity index (BAI) and paediatric body adiposity index (BAIp) in determining body fat in Brazilian children and adolescents. Public Health Nutr 22, 000000.Google Scholar
7. Tran, TD, Biggs, B-A, Holton, S et al. (2019) Co-morbid anaemia and stunting among children of pre-school age in low- and middle-income countries: a syndemic. Public Health Nutr 22, 000000.Google Scholar
8. de Onis, M, Borghi, E, Arimond, M et al. (2019) Prevalence thresholds for wasting, overweight and stunting in children under 5 years. Public Health Nutr 22, 000000.Google Scholar
9. Rahill, S, Kennedy, A, Walton, J et al. (2019) The factors associated with food fussiness in Irish school-aged children. Public Health Nutr 22, 000000.Google Scholar
10. Toumpakari, Z, Tilling, K, Haase, AM et al. (2019) High-risk environments for eating foods surplus to requirements: a multilevel analysis of adolescents’ non-core food intake in the National Diet and Nutrition Survey (NDNS). Public Health Nutr 22, 000000.Google Scholar
11. Lambrinou, C-P, van Stralen, MM, Androutsos, O et al. (2019) Mediators of the effectiveness of a kindergarten-based, family-involved intervention on pre-schoolers’ snacking behaviour: the ToyBox-study. Public Health Nutr 22, 000000.Google Scholar
12. Schmitt, SA, Bryant, LM, Korucu, I et al. (2019) The effects of a nutrition education curriculum on improving young children’s fruit and vegetable preferences and nutrition and health knowledge. Public Health Nutr 22, 000000.Google Scholar
13. Oddo, VM, Roshita, A & Rah, JH (2019) Potential interventions targeting adolescent nutrition in Indonesia: a literature review. Public Health Nutr 22, 000000.Google Scholar
14. Goldman-Hasbun, J, Nosova, E, DeBeck, K et al. (2019) Food insufficiency is associated with depression among street-involved youth in a Canadian setting. Public Health Nutr 22, 000000.Google Scholar