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Section V - Interventions

Published online by Cambridge University Press:  01 December 2022

Edited by
Lucilla Poston ,
Keith M. Godfrey ,
Peter D. Gluckman  and
Mark A. Hanson
Lucilla Poston
Affiliation:
King's College London
Keith M. Godfrey
Affiliation:
University of Southampton
Peter D. Gluckman
Affiliation:
University of Auckland
Mark A. Hanson
Affiliation:
University of Southampton
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Developmental Origins of Health and Disease , pp. 176 - 202
Publisher: Cambridge University Press
Print publication year: 2022

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References

References

Nicholas, L. M. and Ozanne, S. E., Early life programming in mice by maternal overnutrition: mechanistic insights and interventional approaches. Philos Trans R Soc Lond B Biol Sci, 2019. 374(1770): p. 20180116.Google Scholar
Castro-Rodriguez, D. C., et al., Maternal interventions to prevent adverse fetal programming outcomes due to maternal malnutrition: evidence in animal models. Placenta, 2020. 102: pp. 49–54.Google Scholar
Gatford, K. L., et al., Animal models of preeclampsia: causes, consequences, and interventions. Hypertension, 2020. 75(6): pp. 1363–1381.Google Scholar
England, P. H. Health matters; Prevention- a life course approach. 2019; Available from:www.gov.uk/government/publications/health-matters-life-course-approach-to-prevention/health-matters-prevention-a-life-course-approach.Google Scholar
Kuruvilla, S., et al., A life-course approach to health: synergy with sustainable development goals. Bull World Health Organ, 2018. 96(1): pp. 42–50.Google Scholar
Jones, N. L., et al., Life course approaches to the causes of health disparities. Am J Public Health, 2019. 109(S1): pp. S48–S55.Google Scholar
Hetzel, P. A., et al., Genetic markers in Australian Caucasian subjects with coeliac disease. Tissue Antigens, 1987. 30(1): pp. 18–22.Google Scholar
Lowe, W. L., Jr., et al., Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): maternal gestational diabetes mellitus and childhood glucose metabolism. Diabetes Care, 2019. 42(3): pp. 372–380.Google Scholar
Raab, R., et al., Associations between lifestyle interventions during pregnancy and childhood weight and growth: a systematic review and meta-analysis. Int J Behav Nutr Phys Act, 2021. 18(1): p. 8.Google Scholar
Rogozinska, E., et al., Effects of antenatal diet and physical activity on maternal and fetal outcomes: individual patient data meta-analysis and health economic evaluation. Health Technol Assess, 2017. 21(41): pp. 1–158.Google Scholar
Vincze, L., et al., Interventions including a nutrition component aimed at managing gestational weight gain or postpartum weight retention: a systematic review and meta-analysis. JBI Database System Rev Implement Rep, 2019. 17(3): pp. 297–364.Google Scholar
Poston, L., et al., Effect of a behavioural intervention in obese pregnant women (the UPBEAT study): a multicentre, randomised controlled trial. Lancet Diabetes Endocrinol, 2015. 3(10): pp. 767–777.Google Scholar
Mills, H. L., et al., The effect of a lifestyle intervention in obese pregnant women on gestational metabolic profiles: findings from the UK Pregnancies Better Eating and Activity Trial (UPBEAT) randomised controlled trial. BMC Med, 2019. 17(1): p. 15.Google Scholar
Patel, N., et al., Mode of infant feeding, eating behaviour and anthropometry in infants at 6-months of age born to obese women – a secondary analysis of the UPBEAT trial. BMC Pregnancy Childbirth, 2018. 18(1): p. 355.Google Scholar
Dalrymple, K. V., et al., Adiposity and cardiovascular outcomes in three-year-old children of participants in UPBEAT, an RCT of a complex intervention in pregnant women with obesity. Pediatr Obes, 2021. 16(3): p. e12725.Google Scholar
Bailey, C., et al., Are lifestyle interventions to reduce excessive gestational weight gain cost effective? A systematic review. Curr Diab Rep, 2020. 20(2): p. 6.Google Scholar
Chen, L. W., et al., Maternal dietary quality, inflammatory potential and childhood adiposity: an individual participant data pooled analysis of seven European cohorts in the ALPHABET consortium. BMC Med, 2021. 19(1): p. 33.Google Scholar
Moore, A. P., et al., Factors influencing pregnancy and postpartum weight management in women of African and Caribbean ancestry living in high income countries: systematic review and evidence synthesis using a behavioral change theoretical model. Front Public Health, 2021. 9: p. 637800.Google Scholar
Heslehurst, N., et al., Interventions to change maternity healthcare professionals’ behaviours to promote weight-related support for obese pregnant women: a systematic review. Implement Sci, 2014. 9: p. 97.Google Scholar
Mertens, L., Braeken, M., and Bogaerts, A., Effect of lifestyle coaching including telemonitoring and telecoaching on gestational weight gain and postnatal weight loss: A systematic review. Telemed J E Health, 2019. 25(10): pp. 889–901.Google Scholar
Garg, N., et al., Application of mobile technology for disease and treatment monitoring of gestational diabetes mellitus among pregnant women: a systematic review. J Diabetes Sci Technol, 2022 Mar; 16(2):491–497. doi: 10.1177/1932296820965577.Google Scholar
Saravanan, P., et al., Gestational diabetes: opportunities for improving maternal and child health. Lancet Diabetes Endocrinol, 2020. 8(9): pp. 793–800.Google Scholar
van Weelden, W., et al., Long-term effects of oral antidiabetic drugs during pregnancy on offspring: a systematic review and meta-analysis of follow-up studies of RCTs. Diabetes Ther, 2018. 9(5): pp. 1811–1829.Google Scholar
Panagiotopoulou, O., et al., Metformin use in obese mothers is associated with improved cardiovascular profile in the offspring. Am J Obstet Gynecol, 2020. 223(2): pp. 246 e1–246 e10.CrossRefGoogle Scholar
Oh, C., Keats, E. C., and Bhutta, Z. A., Vitamin and mineral supplementation during pregnancy on maternal, birth, child health and development outcomes in low- and middle-income countries: a systematic review and meta-analysis. Nutrients, 2020. 12(2); 491Google Scholar
Jayasinghe, C., et al., The effect of universal maternal antenatal iron supplementation on neurodevelopment in offspring: a systematic review and meta-analysis. BMC Pediatr, 2018. 18(1): p. 150.Google Scholar
McCann, S., Perapoch Amado, M., and Moore, S. E., The role of iron in brain development: a systematic review. Nutrients, 2020. 12(7); 2001Google Scholar
Veena, S. R., et al., Association between maternal nutritional status in pregnancy and offspring cognitive function during childhood and adolescence; a systematic review. BMC Pregnancy Childbirth, 2016. 16: p. 220.Google Scholar
Larson, L. M. and Yousafzai, A. K., A meta-analysis of nutrition interventions on mental development of children under-two in low- and middle-income countries. Matern Child Nutr, 2017. 13(1);e12229Google Scholar
De-Regil, L. M., et al., Vitamin D supplementation for women during pregnancy. Cochrane Database Syst Rev, 2016(1): p. CD008873.Google Scholar
Larque, E., et al., Maternal and foetal health implications of vitamin D status during pregnancy. Ann Nutr Metab, 2018. 72(3): pp. 179–192.Google Scholar
Dawodu, A., et al., Randomized Controlled Trial (RCT) of vitamin D supplementation in pregnancy in a population with endemic vitamin D deficiency. J Clin Endocrinol Metab, 2013. 98(6): pp. 2337–2346.Google Scholar
Lawlor, D. A., et al., Association of maternal vitamin D status during pregnancy with bone-mineral content in offspring: a prospective cohort study. Lancet, 2013. 381(9884): pp. 2176–2183.Google Scholar
Woolford, S. J., et al., Prenatal influences on bone health in children. Expert Rev Endocrinol Metab, 2019. 14(3): pp. 193–202.CrossRefGoogle Scholar
Cooper, C., et al., Maternal gestational vitamin D supplementation and offspring bone health (MAVIDOS): a multicentre, double-blind, randomised placebo-controlled trial. Lancet Diabetes Endocrinol, 2016. 4(5): pp. 393–402.Google Scholar
Brustad, N., et al., Effect of High-Dose vs Standard-Dose vitamin D supplementation in pregnancy on bone mineralization in offspring until age 6 years: a prespecified secondary analysis of a double-blinded, randomized clinical trial. JAMA Pediatr, 2020. 174(5): pp. 419–427.CrossRefGoogle Scholar
Kho, A. T., et al., Vitamin D related genes in lung development and asthma pathogenesis. BMC Med Genomics, 2013. 6: p. 47.Google Scholar
Tareke, A. A., et al., Prenatal vitamin D supplementation and child respiratory health: a systematic review and meta-analysis of randomized controlled trials. World Allergy Organ J, 2020. 13(12): p. 100486.Google Scholar
Best, K. P., Gomersall, J., and Makrides, M., Prenatal Nutritional Strategies to Reduce the Risk of Preterm Birth. Ann Nutr Metab, 2020. 76 Suppl 3: pp. 31–39.Google Scholar
Godhamgaonkar, A. A., Wadhwani, N. S., and Joshi, S. R., Exploring the role of LC-PUFA metabolism in pregnancy complications. Prostaglandins Leukot Essent Fatty Acids, 2020. 163: p. 102203.Google Scholar
Middleton, P., et al., Omega-3 fatty acid addition during pregnancy. Cochrane Database Syst Rev, 2018. 11: p. CD003402.Google Scholar
Sambra, V., et al., Docosahexaenoic and arachidonic acids as neuroprotective nutrients throughout the life cycle. Nutrients, 2021. 13(3).Google Scholar
Vahdaninia, M., et al., omega-3 LCPUFA supplementation during pregnancy and risk of allergic outcomes or sensitization in offspring: a systematic review and meta-analysis. Ann Allergy Asthma Immunol, 2019. 122(3): pp. 302–313 e2.CrossRefGoogle Scholar
Best, K. P., et al., Prenatal omega-3 LCPUFA and symptoms of allergic disease and sensitization throughout early childhood – a longitudinal analysis of long-term follow-up of a randomized controlled trial. World Allergy Organ J, 2018. 11(1): p. 10.Google Scholar
Vahdaninia, M., et al., The effectiveness of omega-3 polyunsaturated fatty acid interventions during pregnancy on obesity measures in the offspring: an up-to-date systematic review and meta-analysis. Eur J Nutr, 2019. 58(7): pp. 2597–2613.Google Scholar
Herba, C. M., et al., Maternal depression and mental health in early childhood: an examination of underlying mechanisms in low-income and middle-income countries. Lancet Psychiatry, 2016. 3(10): pp. 983–992.Google Scholar
Plant, D. T., et al., Maternal depression during pregnancy and offspring depression in adulthood: role of child maltreatment. Br J Psychiatry, 2015. 207(3): pp. 213–220.Google Scholar
Eberle, C., et al., Impact of maternal prenatal stress by glucocorticoids on metabolic and cardiovascular outcomes in their offspring: a systematic scoping review. PLoS One, 2021. 16(1): p. e0245386.Google Scholar
Plant, D. T., et al., When one childhood meets another – maternal childhood trauma and offspring child psychopathology: A systematic review. Clin Child Psychol Psychiatry, 2018. 23(3): pp. 483–500.Google Scholar
Zhang, H., et al., Maternal adverse childhood experience and depression in relation with brain network development and behaviors in children: a longitudinal study. Cereb Cortex, 2021 Jul 29;31(9):4233-4244.Google Scholar
Kallak, T. K., et al., DNA methylation in cord blood in association with prenatal depressive symptoms. Clin Epigenetics, 2021. 13(1): p. 78.Google Scholar
Rahman, A., et al., Interventions for common perinatal mental disorders in women in low- and middle-income countries: a systematic review and meta-analysis. Bull World Health Organ, 2013. 91(8): pp. 593–601I.Google Scholar
Olmedo-Requena, R., et al., Variations in long-term outcome reporting among offspring followed up after lifestyle interventions in pregnancy: a systematic review. J Perinat Med, 2020. 48(2): pp. 89–95.Google Scholar
Baumfeld Andre, E., et al., Trial designs using real-world data: the changing landscape of the regulatory approval process. Pharmacoepidemiol Drug Saf, 2020. 29(10): pp. 1201–1212.Google Scholar
Mc Cord, K. A., et al., Treatment effects in randomised trials using routinely collected data for outcome assessment versus traditional trials: meta-research study. BMJ, 2021. 372: p. n450.Google Scholar
Stephenson, J., et al., Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health. Lancet, 2018. 391(10132): pp. 1830–1841.Google Scholar
van Dijk, M. R., et al., A mobile app lifestyle intervention to improve healthy nutrition in women before and during early pregnancy: single-center randomized controlled trial. J Med Internet Res, 2020. 22(5): p. e15773.Google Scholar
Dean, S. V., et al., Preconception care: nutritional risks and interventions. Reprod Health, 2014. 11 Suppl 3: p. S3.Google Scholar
Ferguson, J. A., Daley, A. J., and Parretti, H. M., Behavioural weight management interventions for postnatal women: a systematic review of systematic reviews of randomized controlled trials. Obes Rev, 2019. 20(6): pp. 829–841.Google Scholar
Villamor, E. and Cnattingius, S., Interpregnancy weight change and risk of adverse pregnancy outcomes: a population-based study. Lancet, 2006. 368(9542): pp. 1164–1170.Google Scholar
Fernandes-Silva, H., et al., Retinoic acid: a key regulator of lung development. Biomolecules, 2020. 10(1): 152Google Scholar
Checkley, W., et al., Maternal vitamin A supplementation and lung function in offspring. N Engl J Med, 2010. 362(19): pp. 1784–1794.Google Scholar
Robinson, K., et al., Risk factors and in-hospital course of first episode of myocardial infarction or acute coronary insufficiency in women. J Am Coll Cardiol, 1988. 11(5): pp. 932–936.Google Scholar
Wu, Y., et al., Study protocol for the Sino-Canadian Healthy Life Trajectories Initiative (SCHeLTI): a multicentre, cluster-randomised, parallel-group, superiority trial of a multifaceted community-family-mother-child intervention to prevent childhood overweight and obesity. BMJ Open, 2021. 11(4): p. e045192.Google Scholar
Bogaerts, A., et al., INTER-ACT: prevention of pregnancy complications through an e-health driven interpregnancy lifestyle intervention – study protocol of a multicentre randomised controlled trial. Pregnancy Childbirth, 2017. 17(1): p. 154.Google Scholar

References

McKerracher, L., et al., Translating the developmental origins of health and disease concept to improve the nutritional environment for our next generations: a call for a reflexive, positive, multi-level approach. J Dev Orig Health Dis, 2019. 10(4): pp. 420–428.Google Scholar
Barker, D.J., Fetal origins of coronary heart disease. Bmj, 1995. 311(6998): pp. 171–174.Google Scholar
Syddall, H.E., et al., Birth weight, infant weight gain, and cause-specific mortality: the Hertfordshire cohort study. Am J Epidemiol, 2005. 161(11): pp. 1074–1080.Google Scholar
Roseboom, T.J., et al., Effects of prenatal exposure to the Dutch famine on adult disease in later life: an overview. Mol Cell Endocrinol, 2001. 185(1–2): pp. 93–8.Google Scholar
Heindel, J.J. and Vandenberg, L.N., Developmental origins of health and disease: a paradigm for understanding disease cause and prevention. Curr Opin Pediatr, 2015. 27(2): pp. 248–53.Google Scholar
Robinson, S.M., et al., Modifiable early-life risk factors for childhood adiposity and overweight: an analysis of their combined impact and potential for prevention. Am J Clin Nutr, 2015. 101(2): pp. 368–75.Google Scholar
Fall, C.H., Evidence for the intra-uterine programming of adiposity in later life. Ann Hum Biol, 2011. 38(4): pp. 410–28.Google Scholar
Gaillard, R., et al., Childhood health consequences of maternal obesity during pregnancy: a narrative review. Ann Nutr Metab, 2016. 69(3–4): pp. 171–180.Google Scholar
World Health Organisation. Report of the Commission on Ending Childhood Obesity. Geneva; 2016. www.who.int/end-childhood-obesity/en/. Accessed August 24, 2020.Google Scholar
Ward, Z.J., et al., Simulation of growth trajectories of childhood obesity into adulthood. N Engl J Med, 2017. 377(22): pp. 2145–2153.Google Scholar
Hruby, A., et al., Determinants and consequences of obesity. Am J Public Health, 2016. 106(9): pp. 1656–62.Google Scholar
Blake-Lamb, T.L., et al., Interventions for childhood obesity in the first 1,000 days a systematic review. Am J Prev Med, 2016. 50(6): pp. 780–789.Google Scholar
Patro, Golab, B., et al., Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity: an individual participant data meta-analysis. Lancet Child Adolesc Health, 2018. 2(11): pp. 812–821.Google Scholar
Patro-Golab, B., et al., Nutritional interventions or exposures in infants and children aged up to 3 years and their effects on subsequent risk of overweight, obesity and body fat: a systematic review of systematic reviews. Obes Rev, 2016. 17(12): pp. 1245–1257.Google Scholar
Hanson, M.A., Poston, L., and Gluckman, P.D., DOHaD – the challenge of translating the science to policy. J Dev Orig Health Dis, 2019. 10(3): pp. 263–267.Google Scholar
Shea, B.J., et al., Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol, 2007. 7(1): p. 10.Google Scholar
Arenz, S., et al., Breast-feeding and childhood obesity – a systematic review. Int J Obes Relat Metab Disord, 2004. 28(10): pp. 1247–56.Google Scholar
Gale, C., et al., Effect of breastfeeding compared with formula feeding on infant body composition: a systematic review and meta-analysis. Am J Clin Nutr, 2012. 95(3): pp. 656–669.CrossRefGoogle Scholar
Harder, T., et al., Duration of breastfeeding and risk of overweight: a meta-analysis. Am J Epidemiol, 2005. 162(5): pp. 397–403.Google Scholar
Hornell, A., et al., Breastfeeding, introduction of other foods and effects on health: a systematic literature review for the 5th Nordic nutrition recommendations. Food Nutr Res, 2013. 57. doi: 10.3402/fnr.v57i0.20823. Print 2013.CrossRefGoogle Scholar
Kramer, M.S. and Kakuma, R., Optimal duration of exclusive breastfeeding. Cochrane Database Syst Rev, 2012(8): p. CD003517.Google Scholar
Owen, C.G., et al., The effect of breastfeeding on mean body mass index throughout life: a quantitative review of published and unpublished observational evidence. Am J Clin Nutr, 2005. 82(6): pp. 1298–307.Google Scholar
Weng, S.F., et al., Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy. Arch Dis Child, 2012. 97(12): pp. 1019–26.Google Scholar
Yan, J., et al., The association between breastfeeding and childhood obesity: a meta-analysis. BMC Public Health, 2014. 14: p. 1267.Google Scholar
Horta, B.L., Loret de, C. Mola, , and Victora, C.G., Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatrica, 2015. 104(467): pp. 30–7.Google Scholar
Patro-Golab, B., et al., Duration of breastfeeding and early growth: a systematic review of current evidence. Breastfeed Med, 2019. 14(4): pp. 218–229.Google Scholar
Redsell, S.A., et al., Systematic review of randomised controlled trials of interventions that aim to reduce the risk, either directly or indirectly, of overweight and obesity in infancy and early childhood. Matern Child Nutr, 2016. 12(1): pp. 24–38.Google Scholar
Chi, D.L., Luu, M., and Chu, F., A scoping review of epidemiologic risk factors for pediatric obesity: implications for future childhood obesity and dental caries prevention research. J Public Health Dent, 2017. 77 Suppl 1: pp. S8–S31.Google Scholar
Hess, C., Ofei, A., and Mincher, A., Breastfeeding and childhood obesity among African Americans: a systematic review. MCN Am J Matern Child Nurs, 2015. 40(5): pp. 313–9.Google Scholar
Woo Baidal, J.A., et al., Risk factors for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med, 2016. 50(6): pp. 761–779.Google Scholar
Ip, S., et al., A summary of the agency for healthcare research and quality’s evidence report on breastfeeding in developed countries. Breastfeed Med, 2009. 4 Suppl 1: pp. S17–30.Google Scholar
Monasta, L., et al., Early-life determinants of overweight and obesity: a review of systematic reviews. Obes Rev, 2010. 11(10): pp. 695–708.Google Scholar
Agostoni, C., et al., The long-term effects of dietary nutrient intakes during the first 2 years of life in healthy infants from developed countries: an umbrella review. Adv Nutr, 2019. 10(3): pp. 489–501.Google Scholar
Abrams, S.A., Hawthorne, K.M., and Pammi, M., A systematic review of controlled trials of lower-protein or energy-containing infant formulas for use by healthy full-term infants. Adv Nutr, 2015. 6(2): pp. 178–88.Google Scholar
Patro-Golab, B., et al., Protein concentration in milk formula, growth, and later risk of obesity: a systematic review. J Nutr, 2016. 146(3): pp. 551–64.Google Scholar
Szajewska, H. and Chmielewska, A., Growth of infants fed formula supplemented with Bifidobacterium lactis Bb12 or Lactobacillus GG: a systematic review of randomized controlled trials. BMC Pediatrics, 2013. 13: 185. doi: 10.1186/1471-2431-13-185.Google Scholar
Campoy, C., et al., Omega 3 fatty acids on child growth, visual acuity and neurodevelopment. Br J Nutr, 2012. 107 Suppl 2: pp. S85–106.Google Scholar
Voortman, T., et al., Effects of polyunsaturated fatty acid intake and status during pregnancy, lactation, and early childhood on cardiometabolic health: a systematic review. Prog Lipid Res, 2015. 59: pp. 67–87.Google Scholar
Mendez, M.A., Anthony, M.S., and Arab, L., Soy-based formulae and infant growth and development: a review. J Nutr, 2002. 132(8): pp. 2127–30.Google Scholar
Liber, A. and Szajewska, H., Effects of inulin-type fructans on appetite, energy intake, and body weight in children and adults: systematic review of randomized controlled trials. Ann Nutr Metab, 2013. 63(1–2): pp. 42–54.Google Scholar
Rodriguez, G., et al., Effect of n-3 long chain polyunsaturated fatty acids during the perinatal period on later body composition. Br J Nutr, 2012. 107 Suppl 2: pp. S117–28.Google Scholar
Matsuyama, M., et al., Effect of fortified milk on growth and nutritional status in young children: a systematic review and meta-analysis. Public Health Nutr, 2017. 20(7): pp. 1214–1225.Google Scholar
Onubi, O.J., et al., Effects of probiotics on child growth: a systematic review. J Health Popul Nutr, 2015. 34: p. 8.Google Scholar
Koplin, J.J., et al., Infant and young child feeding interventions targeting overweight and obesity: a narrative review. Obes Rev, 2019. 20 Suppl 1: pp. 31–44.Google Scholar
Alexander, D.D., et al., Growth of infants consuming whey-predominant term infant formulas with a protein content of 1.8 g/100 kcal: a multicenter pooled analysis of individual participant data. Am J Clin Nutr, 2016. 104(4): pp. 1083–1092.Google Scholar
Inostroza, J., et al., Low-protein formula slows weight gain in infants of overweight mothers. J Pediatr Gastroenterol Nutr, 2014. 59(1): pp. 70–7.Google Scholar
Liber, A. and Szajewska, H., Effects of inulin-type fructans on appetite, energy intake, and body weight in children and adults: systematic review of randomized controlled trials. Ann Nutr Metab, 2013. 63(1–2): pp. 42–54.Google Scholar
Araujo, C.S., et al., Age of introduction of complementary feeding and overweight in adolescence and adulthood: A systematic review. Matern Child Nutr, 2019. 15(3): p. e12796.Google Scholar
Daniels, L., et al., The timing of solid introduction in an ‘obesogenic’ environment: a narrative review of the evidence and methodological issues. Aust N Z J Public Health, 2015. 39(4): pp. 366–73.Google Scholar
English, L.K., et al., Timing of introduction of complementary foods and beverages and growth, size, and body composition: a systematic review. Am J Clin Nutr, 2019. 109(Suppl_7): pp. 935S–955S.Google Scholar
Vail, B., et al., Age at Weaning and Infant Growth: Primary Analysis and Systematic Review. J Pediatr, 2015. 167(2): pp. 317–24.e1.Google Scholar
Moorcroft, K.E., Marshall, J.L., and McCormick, F.M., Association between timing of introducing solid foods and obesity in infancy and childhood: a systematic review. Matern Child Nutr, 2011. 7(1): pp. 3–26.Google Scholar
Pearce, J., Taylor, M.A., and Langley-Evans, S.C., Timing of the introduction of complementary feeding and risk of childhood obesity: a systematic review. Int J Obes, 2013. 37(10): pp. 1295–306.Google Scholar
Qasem, W., Fenton, T., and Friel, J., Age of introduction of first complementary feeding for infants: a systematic review. BMC Pediatrics, 2015. 15: p. 107.Google Scholar
Lanigan, J.A., et al., Systematic review concerning the age of introduction of complementary foods to the healthy full-term infant. Eur J Clin Nutr, 2001. 55(5): pp. 309–20.Google Scholar
English, L.K., et al., Types and amounts of complementary foods and beverages consumed and growth, size, and body composition: a systematic review. Am J Clin Nutr, 2019. 109(Suppl_7): pp. 956S–977S.Google Scholar
Pearce, J. and Langley-Evans, S.C., The types of food introduced during complementary feeding and risk of childhood obesity: a systematic review. Int J Obes, 2013. 37(4): pp. 477–85.Google Scholar
Hornell, A., et al., Protein intake from 0 to 18 years of age and its relation to health: a systematic literature review for the 5th Nordic Nutrition Recommendations. Food Nutr Res, 2013. 57.Google Scholar
Naude, C.E., et al., Effects of total fat intake on bodyweight in children. Cochrane Database Syst Rev, 2018(7):CD012960.Google Scholar
Koletzko, B., et al., Current information and asian perspectives on long-chain polyunsaturated fatty acids in pregnancy, lactation, and infancy: systematic review and practice recommendations from an early nutrition academy workshop. Ann Nutr Metab, 2014. 65(1): pp. 49–80.Google Scholar
Vanderhout, S.M., et al., Whole milk compared with reduced-fat milk and childhood overweight: a systematic review and meta-analysis. Am J Clin Nutr, 2020. 111(2): pp. 266–279.Google Scholar
Gibson, S., Sugar-sweetened soft drinks and obesity: a systematic review of the evidence from observational studies and interventions. Nutr Res Rev, 2008. 21(2): pp. 134–47.Google Scholar
Perez-Morales, E., Bacardi-Gascon, M., and Jimenez-Cruz, A., Sugar-sweetened beverage intake before 6 years of age and weight or BMI status among older children; systematic review of prospective studies. Nutr Hosp, 2013. 28(1): pp. 47–51.Google Scholar
Osei-Assibey, G., et al., The influence of the food environment on overweight and obesity in young children: a systematic review. BMJ Open, 2012. 2(6):e001538. doi: 10.1136/bmjopen-2012-001538.Google Scholar
Olsen, N.J. and Heitmann, B.L., Intake of calorically sweetened beverages and obesity. Obes Rev, 2009. 10(1): pp. 68–75.Google Scholar
Te Morenga, L., Mallard, S., and Mann, J., Dietary sugars and body weight: systematic review and meta-analyses of randomised controlled trials and cohort studies. BMJ, 2012. 346: p. e7492.Google Scholar
Auerbach, B.J., et al., Fruit juice and change in BMI: a meta-analysis. Pediatrics, 2017. 139(4):e20162454. doi: 10.1542/peds.2016-2454.Google Scholar
Bucher Della Torre, S., et al., Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality may influence conclusions. J Acad Nutr Diet, 2016. 116(4): pp. 638–59.Google Scholar
Crowe-White, K., et al., Impact of 100% fruit juice consumption on diet and weight status of children: an evidence-based review. Crit Rev Food Sci Nutr, 2016. 56(5): pp. 871–84.Google Scholar
Gasser, C.E., et al., Confectionery consumption and overweight, obesity, and related outcomes in children and adolescents: a systematic review and meta-analysis. Am J Clin Nutr, 2016. 103(5): pp. 1344–56.Google Scholar
Luger, M., et al., Sugar-sweetened beverages and weight gain in children and adults: a systematic review from 2013 to 2015 and a comparison with previous studies. Obesity Facts, 2017. 10(6): pp. 674–693.Google Scholar
Clabaugh, K. and Neuberger, G.B., Research evidence for reducing sugar sweetened beverages in children. Issues Compr Pediatr Nurs, 2011. 34(3): pp. 119–30.Google Scholar
Auerbach, B.J., et al., Review of 100% fruit juice and chronic health conditions: implications for sugar-sweetened beverage policy. Adv Nutr, 2018. 9(2): pp. 78–85.Google Scholar
Keller, A. and Bucher Della Torre, S., Sugar-sweetened beverages and obesity among children and adolescents: a review of systematic literature reviews. Child Obes, 2015. 11(4): pp. 338–46.Google Scholar
Psaltopoulou, T., et al., Prevention and treatment of childhood and adolescent obesity: a systematic review of meta-analyses. World J Pediatr, 2019. 15(4): pp. 350–381.Google Scholar
Dror, D.K., Dairy consumption and pre-school, school-age and adolescent obesity in developed countries: a systematic review and meta-analysis. Obes Rev, 2014. 15(6): pp. 516–27.Google Scholar
Louie, J.C., et al., Dairy consumption and overweight and obesity: a systematic review of prospective cohort studies. Obes Rev, 2011. 12(7): pp. e582–92.Google Scholar
Kaiser, K.A., et al., Increased fruit and vegetable intake has no discernible effect on weight loss: a systematic review and meta-analysis. Am J Clin Nutr, 2014. 100(2): pp. 567–76.Google Scholar
McKenzie, J.E. and Brennan, S.E., Overviews of systematic reviews: great promise, greater challenge. Syst Rev, 2017. 6(1): p. 185.Google Scholar

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