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10-02-2023 | Original Contribution

Dietary patterns and young adult body mass change: A 9-year longitudinal study

Authors: Tolassa W. Ushula, Abdullah Mamun, Darsy Darssan, William Y. S. Wang, Gail M. Williams, Susan J. Whiting, Jake M. Najman

Published in: European Journal of Nutrition | Issue 4/2023

Abstract

Purpose

While excessive weight gain is highest during young adulthood, the extent to which specific dietary patterns are associated with changes in measures of body mass in this course of life remains unknown. We aimed to examine the associations of dietary patterns at 21 years with changes in body weight and body mass index (BMI) between 21 and 30 years.

Methods

We used data on young adults from a long-running birth cohort in Australia. Western and prudent dietary patterns were identified applying principal component analysis to 33 food groups obtained by a food frequency questionnaire at 21 years. Body weight and height were measured at 21 and 30 years. Multivariable regression models, using generalized estimating equations, were adjusted for concurrent changes in sociodemographic and lifestyle variables in evaluating the effect of identified dietary patterns on changes in weight and BMI over time.

Results

In the fully adjusted model, young adults in the highest tertile of the Western pattern had a mean weight gain of 9.9 (95% CI 8.5, 11.3) kg compared to those in the lowest that had a mean weight gain of 7.1 (95% CI 5.6, 8.5) kg, P-for linear trend = 0.0015. The corresponding values for mean gains in BMI were 3.1 (95% CI 2.7, 3.6) kg/m² for young adults in the highest tertile compared to 2.4 (95% CI 1.9, 2.9) kg/m² for those in lowest, P-for linear trend = 0.0164. There was no evidence of a significant association between the prudent pattern and mean changes in each outcome over time in this study.

Conclusions

The findings of the current study show that greater adherence to the Western diet at 21 years was positively associated with increases in body weight and BMI from 21 to 30 years of age, whereas the prudent diet had no significant association with these outcomes. The findings provide evidence that the adverse effects of the Western diet on weight gain in young adulthood could partly be prevented through optimising diet in the early course of life.

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Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, Marczak L, Mokdad AH, Moradi-Lakeh M, Naghavi M, Salama JS, Vos T, Abate KH, Abbafati C, Ahmed MB, Al-Aly Z, Alkerwi A, Al-Raddadi R, Amare AT, Amberbir A, Amegah AK, Amini E, Amrock SM, Anjana RM, Ärnlöv J, Asayesh H, Banerjee A, Barac A, Baye E, Bennett DA, Beyene AS, Biadgilign S, Biryukov S, Bjertness E, Boneya DJ, Campos-Nonato I, Carrero JJ, Cecilio P, Cercy K, Ciobanu LG, Cornaby L, Damtew SA, Dandona L, Dandona R, Dharmaratne SD, Duncan BB, Eshrati B, Esteghamati A, Feigin VL, Fernandes JC, Fürst T, Gebrehiwot TT, Gold A, Gona PN, Goto A, Habtewold TD, Hadush KT, Hafezi-Nejad N, Hay SI, Horino M, Islami F, Kamal R, Kasaeian A, Katikireddi SV, Kengne AP, Kesavachandran CN, Khader YS, Khang YH, Khubchandani J, Kim D, Kim YJ, Kinfu Y, Kosen S, Ku T, Defo BK, Kumar GA, Larson HJ, Leinsalu M, Liang X, Lim SS, Liu P, Lopez AD, Lozano R, Majeed A, Malekzadeh R, Malta DC, Mazidi M, McAlinden C, McGarvey ST, Mengistu DT, Mensah GA, Mensink GBM, Mezgebe HB, Mirrakhimov EM, Mueller UO, Noubiap JJ, Obermeyer CM, Ogbo FA, Owolabi MO, Patton GC, Pourmalek F, Qorbani M, Rafay A, Rai RK, Ranabhat CL, Reinig N, Safiri S, Salomon JA, Sanabria JR, Santos IS, Sartorius B, Sawhney M, Schmidhuber J, Schutte AE, Schmidt MI, Sepanlou SG, Shamsizadeh M, Sheikhbahaei S, Shin MJ, Shiri R, Shiue I, Roba HS, Silva DAS, Silverberg JI, Singh JA, Stranges S, Swaminathan S, Tabarés-Seisdedos R, Tadese F, Tedla BA, Tegegne BS, Terkawi AS, Thakur JS, Tonelli M, Topor-Madry R, Tyrovolas S, Ukwaja KN, Uthman OA, Vaezghasemi M, Vasankari T, Vlassov VV, Vollset SE, Weiderpass E, Werdecker A, Wesana J, Westerman R, Yano Y, Yonemoto N, Yonga G, Zaidi Z, Zenebe ZM, Zipkin B, Murray CJL (2017) Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med 377(1):13–27. https://doi.org/10.1056/NEJMoa1614362CrossRefPubMed

Hayes AJ, Lung TW, Bauman A, Howard K (2017) Modelling obesity trends in Australia: unravelling the past and predicting the future. Int J Obes (2005) 41(1):178–185. https://doi.org/10.1038/ijo.2016.165CrossRef

Australian Bureau of Statistics(2017–18) National Health Survey: first results, ABS Website. Accessed 13 Jan 2023

Willmott TJ, Pang B, Rundle-Thiele S, Badejo A (2019) Weight management in young adults: systematic review of electronic health intervention components and outcomes. J Med Internet Res 21(2):e10265. https://doi.org/10.2196/10265CrossRefPubMedPubMedCentral

Dietz WH (2017) Obesity and excessive weight gain in young adults: new targets for prevention. JAMA 318(3):241–242. https://doi.org/10.1001/jama.2017.6119CrossRefPubMed

Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL (2016) Trends in obesity among adults in the United States, 2005 to 2014. JAMA 315(21):2284–2291. https://doi.org/10.1001/jama.2016.6458CrossRefPubMed

Hebden L, Chey T, Allman-Farinelli M (2012) Lifestyle intervention for preventing weight gain in young adults: a systematic review and meta-analysis of RCTs. Obes Rev 13(8):692–710. https://doi.org/10.1111/j.1467-789X.2012.00990.xCrossRefPubMed

Sheehan TJ, DuBrava S, DeChello LM, Fang Z (2003) Rates of weight change for black and white Americans over a twenty year period. Int J Obes Relat Metab Disord 27(4):498–504. https://doi.org/10.1038/sj.ijo.0802263CrossRefPubMed

Popkin BM (2006) Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. Am J Clin Nutr 84(2):289–298. https://doi.org/10.1093/ajcn/84.1.289CrossRefPubMed

10.

Pendergast FJ, Livingstone KM, Worsley A, McNaughton SA (2019) Examining the correlates of meal skipping in Australian young adults. Nutr J 18(1):24. https://doi.org/10.1186/s12937-019-0451-5CrossRefPubMedPubMedCentral

11.

Wang X, Song J, Gao Y, Wu C, Zhang X, Li T, Cui J, Song L, Xu W, Yang Y, Zhang H, Lu J, Li X, Liu J, Zheng X (2021) Association between weight gain from young to middle adulthood and metabolic syndrome across different BMI categories at young adulthood. Front Endocrinol 12:812104. https://doi.org/10.3389/fendo.2021.812104CrossRef

12.

Zheng Y, Manson JE, Yuan C, Liang MH, Grodstein F, Stampfer MJ, Willett WC, Hu FB (2017) Associations of weight gain from early to middle adulthood with major health outcomes later in life. JAMA 318(3):255–269. https://doi.org/10.1001/jama.2017.7092CrossRefPubMedPubMedCentral

13.

de Mutsert R, Sun Q, Willett WC, Hu FB, van Dam RM (2014) Overweight in early adulthood, adult weight change, and risk of type 2 diabetes, cardiovascular diseases, and certain cancers in men: a cohort study. Am J Epidemiol 179(11):1353–1365. https://doi.org/10.1093/aje/kwu052CrossRefPubMedPubMedCentral

14.

Schmidt M, Johannesdottir SA, Lemeshow S, Lash TL, Ulrichsen SP, Bøtker HE, Sørensen HT (2013) Obesity in young men, and individual and combined risks of type 2 diabetes, cardiovascular morbidity and death before 55 years of age: a Danish 33-year follow-up study. BMJ Open 3(4):e002698. https://doi.org/10.1136/bmjopen-2013-002698CrossRefPubMedPubMedCentral

15.

Rosner B, Eliassen AH, Toriola AT, Chen WY, Hankinson SE, Willett WC, Berkey CS, Colditz GA (2017) Weight and weight changes in early adulthood and later breast cancer risk. Int J Cancer 140(9):2003–2014. https://doi.org/10.1002/ijc.30627CrossRefPubMedPubMedCentral

16.

Chen C, Ye Y, Zhang Y, Pan XF, Pan A (2019) Weight change across adulthood in relation to all cause and cause specific mortality: prospective cohort study. BMJ (Clin Res Ed) 367:l5584. https://doi.org/10.1136/bmj.l5584CrossRef

17.

Hu FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13(1):3–9CrossRefPubMed

18.

Schulze MB, Martínez-González MA, Fung TT, Lichtenstein AH, Forouhi NGJb (2018) Food based dietary patterns and chronic disease prevention. BMJ 361:k2396CrossRefPubMedPubMedCentral

19.

Shi Z, Yuan B, Hu G, Dai Y, Zuo H, Holmboe-Ottesen G (2011) Dietary pattern and weight change in a 5-year follow-up among Chinese adults: results from the Jiangsu Nutrition Study. Br J Nutr 105(7):1047–1054. https://doi.org/10.1017/s0007114510004630CrossRefPubMed

20.

Togo P, Osler M, Sørensen TI, Heitmann BL (2004) A longitudinal study of food intake patterns and obesity in adult Danish men and women. Int J Obes Relat Metab Disord 28(4):583–593. https://doi.org/10.1038/sj.ijo.0802598CrossRefPubMed

21.

Newby PK, Weismayer C, Akesson A, Tucker KL, Wolk A (2006) Longitudinal changes in food patterns predict changes in weight and body mass index and the effects are greatest in obese women. J Nutr 136(10):2580–2587. https://doi.org/10.1093/jn/136.10.2580CrossRefPubMed

22.

Newby PK, Muller D, Hallfrisch J, Andres R, Tucker KL (2004) Food patterns measured by factor analysis and anthropometric changes in adults. Am J Clin Nutr 80(2):504–513. https://doi.org/10.1093/ajcn/80.2.504CrossRefPubMed

23.

Newby PK, Muller D, Hallfrisch J, Qiao N, Andres R, Tucker KL (2003) Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr 77(6):1417–1425. https://doi.org/10.1093/ajcn/77.6.1417CrossRefPubMed

24.

Schulze MB, Fung TT, Manson JE, Willett WC, Hu FB (2006) Dietary patterns and changes in body weight in women. Obesity (Silver Spring, Md) 14(8):1444–1453. https://doi.org/10.1038/oby.2006.164CrossRefPubMed

25.

Arabshahi S, Ibiebele TI, Hughes MCB, Lahmann PH, Williams GM, van der Pols JC (2017) Dietary patterns and weight change: 15-year longitudinal study in Australian adults. Eur J Nutr 56(4):1455–1465. https://doi.org/10.1007/s00394-016-1191-3CrossRefPubMed

26.

Boggs DA, Palmer JR, Spiegelman D, Stampfer MJ, Adams-Campbell LL, Rosenberg L (2011) Dietary patterns and 14-y weight gain in African American women. Am J Clin Nutr 94(1):86–94. https://doi.org/10.3945/ajcn.111.013482CrossRefPubMedPubMedCentral

27.

Ushula TW, Lahmann PH, Mamun A, Wang WYS, Williams GM, Najman JM (2021) Lifestyle correlates of dietary patterns among young adults: evidence from an Australian birth cohort. Public Health Nut. https://doi.org/10.1017/S1368980021003864CrossRef

28.

Otten JJ, Hellwig JP, Meyers LD (2006) Mattsson. Dietary reference intakes. National Academies Press, Washington

29.

Najman JM, Alati R, Bor W, Clavarino A, Mamun A, McGrath JJ, McIntyre D, O’Callaghan M, Scott J, Shuttlewood G, Williams GM, Wray N (2015) Cohort profile update: the Mater-University of Queensland Study of Pregnancy (MUSP). Int J Epidemiol 44(1):78–78f. https://doi.org/10.1093/ije/dyu234CrossRefPubMed

30.

Willett W (1998) Issues in analysis and presentation of dietary data. Nutr Epidemiol 40:321–346

31.

Hodge A, Patterson AJ, Brown WJ, Ireland P, Giles G (2000) The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust N Z J Public Health 24(6):576–583CrossRefPubMed

32.

Lewis J, Milligan GC, Hunt A, National Food A (1995) NUTTAB 95: nutrient data table for use in Australia. Commonwealth of Australia, Canberra

33.

O’Rourke N, Hatcher L (2013) A step-by-step approach to using SAS for factor analysis and structural equation modeling. SAS Institute, Cary

34.

Kline P (1994) An easy guide to factor analysis. Routledge, London

35.

Booth M, Owen N, Banman A, Gore CJ (1995) Active and inactive Australians: assessing and understanding levels of physical activity: Australian Fitness Survey 1990–1991. Department of the Environment Sport and Territories, Commonwealth of Australia, Canberra

36.

Ushula TW, Mamun A, Darssan D, Wang WYS, Williams GM, Whiting SJ, Najman JM (2022) Dietary patterns and the risk of abnormal blood lipids among young adults: a prospective cohort study. Nutr Metab Cardiovasc Dis. https://doi.org/10.1016/j.numecd.2022.01.030CrossRefPubMed

37.

Seaman SR, White IR (2013) Review of inverse probability weighting for dealing with missing data. Stat Methods Med Res 22(3):278–295CrossRefPubMed

38.

Willett WC, Howe GR, Kushi LH (1997) Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr 65(4 Suppl):1220S-1228S. https://doi.org/10.1093/ajcn/65.4.1220S. (discussion 1229S–1231S)CrossRefPubMed

39.

Hanley JA, Negassa A, Edwardes MD, Forrester JE (2003) Statistical analysis of correlated data using generalized estimating equations: an orientation. Am J Epidemiol 157(4):364–375. https://doi.org/10.1093/aje/kwf215CrossRefPubMed

40.

Hruby A, Manson JE, Qi L, Malik VS, Rimm EB, Sun Q, Willett WC, Hu FB (2016) Determinants and consequences of obesity. Am J Public Health 106(9):1656–1662. https://doi.org/10.2105/ajph.2016.303326CrossRefPubMedPubMedCentral

41.

Egan BM, Li J, Sutherland SE, Jones DW, Ferdinand KC, Hong Y, Sanchez E (2020) Sociodemographic determinants of life’s simple 7: implications for achieving cardiovascular health and health equity goals. Ethn Dis 30(4):637–650. https://doi.org/10.18865/ed.30.4.637CrossRefPubMedPubMedCentral

42.

Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM (2005) When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol 162(3):267–278. https://doi.org/10.1093/aje/kwi187CrossRefPubMed

43.

Hill JO, Wyatt HR, Peters JC (2012) Energy balance and obesity. Circulation 126(1):126–132. https://doi.org/10.1161/CIRCULATIONAHA.111.087213CrossRefPubMedPubMedCentral

44.

Prentice AM, Jebb SA (2003) Fast foods, energy density and obesity: a possible mechanistic link. Obes Rev 4(4):187–194. https://doi.org/10.1046/j.1467-789x.2003.00117.xCrossRefPubMed

45.

Beslay M, Srour B, Méjean C, Allès B, Fiolet T, Debras C, Chazelas E, Deschasaux M, Wendeu-Foyet MG, Hercberg S, Galan P, Monteiro CA, Deschamps V, Calixto Andrade G, Kesse-Guyot E, Julia C, Touvier M (2020) Ultra-processed food intake in association with BMI change and risk of overweight and obesity: a prospective analysis of the French NutriNet-Santé cohort. PLoS Med 17(8):e1003256. https://doi.org/10.1371/journal.pmed.1003256CrossRefPubMedPubMedCentral

46.

Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB (2011) Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med 364(25):2392–2404. https://doi.org/10.1056/NEJMoa1014296CrossRefPubMedPubMedCentral

47.

Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR Jr, Ludwig DS (2005) Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365(9453):36–42CrossRefPubMed

48.

Weickert MO, Pfeiffer AF (2018) Impact of dietary fiber consumption on insulin resistance and the prevention of type 2 diabetes. J Nutr 148(1):7–12CrossRefPubMed

49.

Coronel J, Pinos I, Amengual J (2019) β-carotene in obesity research: technical considerations and current status of the field. Nutrients 11(4):842. https://doi.org/10.3390/nu11040842CrossRefPubMedPubMedCentral

50.

Li P, Fan C, Lu Y, Qi K (2016) Effects of calcium supplementation on body weight: a meta-analysis. Am J Clin Nutr 104(5):1263–1273. https://doi.org/10.3945/ajcn.116.136242CrossRefPubMed

51.

Abdollahi S, Toupchian O, Jayedi A, Meyre D, Tam V, Soltani S (2020) Zinc supplementation and body weight: a systematic review and dose-response meta-analysis of randomized controlled trials. Adv Nutr (Bethesda, MD) 11(2):398–411. https://doi.org/10.1093/advances/nmz084CrossRef

52.

Lahmann PH, Williams GM, Najman JM, Mamun AA (2017) Mother-adult offspring resemblance in dietary intake: a community-based cohort study in Australia. Am J Clin Nutr 105(1):185–193. https://doi.org/10.3945/ajcn.116.137539CrossRefPubMed

Title: Dietary patterns and young adult body mass change: A 9-year longitudinal study
Authors: Tolassa W. Ushula
Abdullah Mamun
Darsy Darssan
William Y. S. Wang
Gail M. Williams
Susan J. Whiting
Jake M. Najman
Publication date: 10-02-2023
Publisher: Springer Berlin Heidelberg
Published in: European Journal of Nutrition / Issue 4/2023
Print ISSN: 1436-6207
Electronic ISSN: 1436-6215
DOI: https://doi.org/10.1007/s00394-023-03101-3

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