Abstract
Background
In the United States, one in five adolescents are obese. Index-based dietary patterns are measures of the overall diet that have the potential to serve as valuable obesity risk stratification tools. However, little is known about the association between adherence to index-based dietary patterns in childhood and BMI during the transition from childhood to adolescence.
Objective
To prospectively examine the relationship between adherence to three index-based dietary patterns in childhood and BMI trajectory during the transition to adolescence.
Methods
The study included 581 children enrolled in a Colorado prospective cohort study conducted between 2006 and 2015. Dietary intake was assessed with the Block Kids Food Frequency Questionnaire at age 10 years. Scores were calculated for the Healthy Eating Index—2010 (HEI-2010), the alternate Mediterranean (aMED) diet, and the Dietary Approaches to Stop Hypertension (DASH) diet. Weight and height were assessed via anthropometry at two research visits (ages 10 and 16 years), with interim clinical measurements extracted from Kaiser Permanente medical records. Separate mixed models were used to assess the association between each diet index score and BMI over a 6-year period. Models were stratified by sex and adjusted for age, race/ethnicity, income, and exposure to gestational diabetes.
Results
Median (IQR) number of BMI assessments was 14 (10–18). Among girls, for every ten-unit increase in HEI-2010 score, there was an average 0.64 kg/m2 decrease (p = 0.007) in BMI over time, after adjustment for covariates. Among girls, there was no association between BMI and aMED (β = −0.19, p = 0.24) or DASH (β = 0.28, p = 0.38). Among boys, there was no statistically significant association between BMI and HEI-2010 (0.06, p = 0.83), aMED (0.07, p = 0.70), or DASH (0.42, p = 0.06).
Conclusions
Efforts to prevent adolescent obesity could benefit from considering the degree of adherence to federal dietary guidance, as assessed by the HEI, in the period preceding adolescence, especially among girls.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
References
Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon-Moran D, Kit BK, et al. Trends in obesity prevalence among children and adolescents in the United States, 1988–1994 through 2013–2014. JAMA. 2016;315:2292–9.
Quek YH, Tam WWS, Zhang MWB, Ho RCM. Exploring the association between childhood and adolescent obesity and depression: a meta-analysis. Obes Rev. 2017;18:742–54.
Griffiths LJ, Parsons TJ, Hill AJ. Self-esteem and quality of life in obese children and adolescents: a systematic review. Int J Pediatr Obes. 2010;5:282–304.
Buttitta M, Iliescu C, Rousseau A, Guerrien A. Quality of life in overweight and obese children and adolescents: a literature review. Qual Life Res. 2014;23:1117–39.
Gooding HC, Milliren C, Shay CM, Richmond TK, Field AE, Gillman MW. Achieving cardiovascular health in young adulthood-which adolescent factors matter? J Adolesc Health. 2016;58:119–21.
Dai S, Labarthe DR, Grunbaum JA, Harrist RB, Mueller WH. Longitudinal analysis of changes in indices of obesity from age 8 years to age 18 years. Project HeartBeat! Am J Epidemiol. 2002;156:720–9.
Dietz WH. Critical periods in childhood for the development of obesity. Am J Clin Nutr. 1994;59:955–9.
Peneau S, Giudici KV, Gusto G, Goxe D, Lantieri O, Hercberg S, et al. Growth trajectories of body mass index during childhood: associated factors and health outcome at adulthood. J Pediatr. 2017;186:64–71.e1.
Aris IM, Rifas-Shiman SL, Li LJ, Kleinman KP, Coull BA, Gold DR, et al. Patterns of body mass index milestones in early life and cardiometabolic risk in early adolescence. Int J Epidemiol. 2019;48:157–67.
Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13:3–9.
Hodge A, Bassett J. What can we learn from dietary pattern analysis? Public Health Nutr. 2016;19:191–4.
Reedy J, Krebs-Smith SM, Miller PE, Liese AD, Kahle LL, Park Y, et al. Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr. 2014;144:881–9.
Harrington S. The role of sugar-sweetened beverage consumption in adolescent obesity: a review of the literature. J Sch Nurs. 2008;24:3–12.
Wall CR, Stewart AW, Hancox RJ, Murphy R, Braithwaite I, Beasley R, et al. Association between frequency of consumption of fruit, vegetables, nuts and pulses and BMI: analyses of the International Study of Asthma and Allergies in Childhood (ISAAC). Nutrients. 2018;10:316. https://doi.org/10.3390/nu10030316.
An R. Diet quality and physical activity in relation to childhood obesity. Int J Adolesc Med Health. 2017;29. https://doi.org/10.1515/ijamh-2015-0045.
Mohseni-Takalloo S, Hosseini-Esfahani F, Mirmiran P, Azizi F. Associations of pre-defined dietary patterns with obesity associated phenotypes in tehranian adolescents. Nutrients. 2016;8:505. https://doi.org/10.3390/nu8080505.
Cagiran Yilmaz F, Cagiran D, Ozcelik AO. Adolescent obesity and its association with diet quality and cardiovascular risk factors. Ecol Food Nutr. 2019;58:207–18.
Baird J, Jacob C, Barker M, Fall CH, Hanson M, Harvey NC, et al. Developmental origins of health and disease: a lifecourse approach to the prevention of non-communicable diseases. Healthcare. 2017;5:14. https://doi.org/10.3390/healthcare5010014.
Asghari G, Mirmiran P, Yuzbashian E, Azizi F. A systematic review of diet quality indices in relation to obesity. Br J Nutr. 2017;117:1055–65.
Drenowatz C, Shook RP, Hand GA, Hebert JR, Blair SN. The independent association between diet quality and body composition. Sci Rep. 2014;4:4928.
Jones-Smith JC, Neufeld LM, Laraia B, Ramakrishnan U, Garcia-Guerra A, Fernald LC. Early life growth trajectories and future risk for overweight. Nutr Diabetes. 2013;3:e60.
Biro FM, Kiess W. Contemporary trends in onset and completion of puberty, gain in height and adiposity. Endocr Dev. 2016;29:122–33.
Cullen KW, Watson K, Zakeri I. Relative reliability and validity of the Block Kids Questionnaire among youth aged 10 to 17 years. J Am Diet Assoc. 2008;108:862–6.
Guenther PM, Kirkpatrick SI, Reedy J, Krebs-Smith SM, Buckman DW, Dodd KW, et al. The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 Dietary Guidelines for Americans. J Nutr. 2014;144:399–407.
Fung TT, McCullough ML, Newby PK, Manson JE, Meigs JB, Rifai N, et al. Diet-quality scores and plasma concentrations of markers of inflammation and endothelial dysfunction. Am J Clin Nutr. 2005;82:163–73.
Appel LJ, Moore TJ, Obarzanek E, Vollmer WM, Svetkey LP, Sacks FM, et al. A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med. 1997;336:1117–24.
Dinu M, Pagliai G, Casini A, Sofi F. Mediterranean diet and multiple health outcomes: an umbrella review of meta-analyses of observational studies and randomised trials. Eur J Clin Nutr. 2018;72:30–43.
Hu FB. The Mediterranean diet and mortality-olive oil and beyond. N Engl J Med. 2003;348:2595–6.
Trichopoulou A, Kouris-Blazos A, Wahlqvist ML, Gnardellis C, Lagiou P, Polychronopoulos E, et al. Diet and overall survival in elderly people. BMJ. 1995;311:1457–60.
Sacks FM, Svetkey LP, Vollmer WM, Appel LJ, Bray GA, Harsha D, et al. Effects on blood pressure of reduced dietary sodium and the Dietary Approaches to Stop Hypertension (DASH) diet. DASH-Sodium Collaborative Research Group. N Engl J Med. 2001;344:3–10.
Fung TT, Chiuve SE, McCullough ML, Rexrode KM, Logroscino G, Hu FB. Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med. 2008;168:713–20.
Hockett CW, Harrall KK, Moore BF, Starling AP, Bellatorre A, Sauder KA, et al. Persistent effects of in utero overnutrition on offspring adiposity: the Exploring Perinatal Outcomes among Children (EPOCH) study. Diabetologia. 2019;62:2017–24.
Altman DG, Royston P. The cost of dichotomising continuous variables. BMJ. 2006;332:1080.
Durao C, Oliveira A, Santos AC, Severo M, Guerra A, Barros H, et al. Protein intake and dietary glycemic load of 4-year-olds and association with adiposity and serum insulin at 7 years of age: sex-nutrient and nutrient-nutrient interactions. Int J Obes. 2017;41:533–41.
Durao C, Severo M, Oliveira A, Moreira P, Guerra A, Barros H, et al. Association between dietary patterns and adiposity from 4 to 7 years of age. Public Health Nutr. 2017;20:1973–82.
Wisniewski AB, Chernausek SD. Gender in childhood obesity: family environment, hormones, and genes. Gend Med. 2009;6:76–85.
Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38:963–74.
Crume TL, Ogden L, Daniels S, Hamman RF, Norris JM, Dabelea D. The impact of in utero exposure to diabetes on childhood body mass index growth trajectories: the EPOCH study. J Pediatr. 2011;158:941–6.
Kenward MG, Roger JH. Small sample inference for fixed effects from restricted maximum likelihood. Biometrics. 1997;53:983–97.
Peckins MK, Negriff S, Schneiderman JU, Gordis EB, Susman EJ. The moderating role of cortisol reactivity on the link between maltreatment and body mass index trajectory across adolescence. J Adolesc Health. 2019;65:239–47.
Zhang T, Whelton PK, Xi B, Krousel-Wood M, Bazzano L, He J, et al. Rate of change in body mass index at different ages during childhood and adult obesity risk. Pediatr Obes. 2019;14:e12513.
Min J, Wen X, Xue H, Wang Y. Ethnic disparities in childhood BMI trajectories and obesity and potential causes among 29,250 US children: findings from the early childhood longitudinal study-birth and kindergarten cohorts. Int J Obes. 2018;42:1661–70.
Thomson JL, Tussing-Humphreys LM, Goodman MH, Landry AS. Diet quality in a nationally representative sample of American children by sociodemographic characteristics. Am J Clin Nutr. 2019;109:127–38.
Cohen JFW, Lehnerd ME, Houser RF, Rimm EB. Dietary approaches to stop hypertension diet, weight status, and blood pressure among children and adolescents: National Health and Nutrition Examination Surveys 2003–2012. J Acad Nutr Diet. 2017;117:1437–44.e2.
Martin-Calvo N, Chavarro JE, Falbe J, Hu FB, Field AE. Adherence to the Mediterranean dietary pattern and BMI change among US adolescents. Int J Obes. 2016;40:1103–8.
DeSalvo KB, Olson R, Casavale KO. Dietary guidelines for Americans. JAMA. 2016;315:457–8.
Psaltopoulou T, Tzanninis S, Ntanasis-Stathopoulos I, Panotopoulos G, Kostopoulou M, Tzanninis IG, et al. Prevention and treatment of childhood and adolescent obesity: a systematic review of meta-analyses. World J Pediatr. 2019;15:350–81.
Oellingrath IM, Svendsen MV, Brantsaeter AL. Tracking of eating patterns and overweight—a follow-up study of Norwegian schoolchildren from middle childhood to early adolescence. Nutr J. 2011;10:106.
Cutler GJ, Flood A, Hannan P, Neumark-Sztainer D. Major patterns of dietary intake in adolescents and their stability over time. J Nutr. 2009;139:323–8.
Ambrosini GL, Emmett PM, Northstone K, Jebb SA. Tracking a dietary pattern associated with increased adiposity in childhood and adolescence. Obesity. 2014;22:458–65.
Mikkilä V, Räsänen L, Raitakari OT, Marniemi J, Pietinen P, Rönnemaa T, et al. Major dietary patterns and cardiovascular risk factors from childhood to adulthood. The Cardiovascular Risk in Young Finns Study. Br J Nutr. 2007;98:218–25.
Langford R, Bonell C, Jones H, Pouliou T, Murphy S, Waters E, et al. The World Health Organization’s Health Promoting Schools framework: a Cochrane systematic review and meta-analysis. BMC Public Health. 2015;15:130.
Luckner H, Moss JR, Gericke CA. Effectiveness of interventions to promote healthy weight in general populations of children and adults: a meta-analysis. Eur J Public Health. 2012;22:491–7.
Gortmaker SL, Long MW, Resch SC, Ward ZJ, Cradock AL, Barrett JL, et al. Cost effectiveness of childhood obesity interventions: evidence and methods for CHOICES. Am J Prev Med. 2015;49:102–11.
Khalil CB, Johnson-Down L, Egeland GM. Emerging obesity and dietary habits among James Bay Cree youth. Public Health Nutr. 2010;13:1829–37.
Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, et al. The physical activity guidelines for Americans. JAMA. 2018;320:2020–8.
Bekelman TA, Sauder KA, Rockette-Wagner B, Glueck DH, Dabelea D. Sociodemographic predictors of adherence to national diet and physical activity guidelines at age 5 years: the Healthy Start Study. Am J Health Promot. 2021;35:514–24.
Lee H, Kang M, Song WO, Shim JE, Paik HY. Gender analysis in the development and validation of FFQ: a systematic review. Br J Nutr. 2016;115:666–71.
Yoshida Y, Scribner R, Chen L, Broyles S, Phillippi S, Tseng TS. Diet quality and its relationship with central obesity among Mexican Americans: findings from National Health and Nutrition Examination Survey (NHANES) 1999–2012. Public Health Nutr. 2017;20:1193–202.
Sacks FM, Obarzanek E, Windhauser MM, Svetkey LP, Vollmer WM, McCullough M, et al. Rationale and design of the Dietary Approaches to Stop Hypertension trial (DASH). A multicenter controlled-feeding study of dietary patterns to lower blood pressure. Ann Epidemiol. 1995;5:108–18.
Golpour-Hamedani S, Mohammadifard N, Khosravi A, Feizi A, Safavi SM. Dietary approaches to stop hypertension diet and obesity: a cross-sectional study of Iranian children and adolescents. ARYA Atheroscler. 2017;13:7–13.
Berz JP, Singer MR, Guo X, Daniels SR, Moore LL. Use of a DASH food group score to predict excess weight gain in adolescent girls in the National Growth and Health Study. Arch Pediatr Adolesc Med. 2011;165:540–6.
Metcalf BS, Hosking J, Jeffery AN, Voss LD, Henley W, Wilkin TJ. Fatness leads to inactivity, but inactivity does not lead to fatness: a longitudinal study in children (EarlyBird 45). Arch Dis Child. 2011;96:942–7.
Ambrosini GL, Huang RC, Mori TA, Hands BP, O’Sullivan TA, de Klerk NH, et al. Dietary patterns and markers for the metabolic syndrome in Australian adolescents. Nutr Metab Cardiovasc Dis. 2010;20:274–83.
Mesirow MS, Welsh JA. Changing beverage consumption patterns have resulted in fewer liquid calories in the diets of US children: National Health and Nutrition Examination Survey 2001–2010. J Acad Nutr Diet. 2015;115:559–66.e4.
Maier JH, Barry R. Associations among physical activity, diet, and obesity measures change during adolescence. J Nutr Metab. 2015;2015:805065.
Chaparro MP, Koupil I, Byberg L. Maternal pre-pregnancy BMI and offspring body composition in young adulthood: the modifying role of offspring sex and birth order. Public Health Nutr. 2017;20:3084–9.
Donnelly JE, Smith BK. Is exercise effective for weight loss with ad libitum diet? Energy balance, compensation, and gender differences. Exerc Sport Sci Rev. 2005;33:169–74.
Funding
T32 DK007658, R01DK068001, R01DK068001, R01GM121081.
Author information
Authors and Affiliations
Contributions
TAB, SLJ, DHG, KAS, and DD conceptualized the project; TAB, BMR, KHH, and DHG analyzed the data; TAB drafted the manuscript. All authors played an important role in interpreting the results, provided substantive feedback on the manuscript, and approved the final version.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Bekelman, T.A., Ringham, B.M., Sauder, K.A. et al. Adherence to index-based dietary patterns in childhood and BMI trajectory during the transition to adolescence: the EPOCH study. Int J Obes 45, 2439–2446 (2021). https://doi.org/10.1038/s41366-021-00917-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41366-021-00917-z