Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 264

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Changes in diet through adolescence and early adulthood: longitudinal trajectories and association with key life transitions

Open access
Winpenny, Eleanor M., van Sluijs, Esther M. F., White, Martin, Klepp, Knut-Inge, Wold, Bente, Lien, Nanna·2018·International Journal of Behavioral Nutrition and Physical Activity
DOI 10.1186/s12966-018-0719-8
Open this paper in CoChat — free account

Abstract

BACKGROUND: Early adulthood is a period associated with poor diet and rapid weight gain. This is also an age of transition, including environmental, social and lifestyle changes which may be associated with changes in diet. We assess longitudinal associations between four early adulthood life transitions (leaving home, leaving education, entering employment, and cohabitation) and changes in consumption of fruit, vegetables, confectionery and sugar-sweetened beverages (SSBs). METHODS: Participants (n = 1100) from the Norwegian Longitudinal Health Behaviour Study, reported data on diet and life transitions on up to eight occasions from age 14 to age 30. Diet data were self-reported in response to questions on intake of fruit, vegetables, confectionery and sugar-sweetened beverages. Growth models were developed to describe changing intake of each of the four diet indicators with age. Fixed-effects regression models assessed associations between the four life transitions and within-individual changes in diet indicators, with adjustment for the remaining transitions and parenthood. RESULTS: Diet indicators showed quadratic trajectories with age: fruit and vegetable intakes declined from age 14 to ages 23 and 21 respectively, before increasing to age 30. SSB and confectionery intakes increased to age 18, before subsequently decreasing. Leaving the parental home was associated with a decrease in fruit intake of - 0.54 times/week (95% confidence interval (95%CI): -0.87;-0.22) and vegetable intake of - 0.43 times/week (95%CI: -0.70;-0.15). Leaving education was associated with increases in confectionery (0.33 times/week (95%CI: 0.04;0.62)) and SSB intakes (0.49 times/week (95%CI: 0.10;0.87). CONCLUSIONS: Leaving home and leaving education are associated with negative changes in diet and may present opportunities for effective diet and obesity intervention. Further study of these transitions is needed to understand the mechanisms mediating associations between life transitions and changes in diet.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12966-018-0719-8

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 40

  1. Ng M, Flemming T, Thomson B, et al. Global, regional, and National Prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease. Lancet. 2014;384:766–81. https://doi.org/10.1016/S0140-6736(14)60460-8 . · DOI · Paper page
  2. Appannah G, Pot GK, Huang RC, et al. Identification of a dietary pattern associated with greater cardiometabolic risk in adolescence. Nutr Metab Cardiovasc Dis. 2015;25:643–50. https://doi.org/10.1016/j.numecd.2015.04.007 . · DOI
  3. Craigie AM, Lake AA, Kelly SA, et al. Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas. 2011;70:266–84. https://doi.org/10.1016/j.maturitas.2011.08.005 . · DOI · Paper page
  4. Aune D, Chan DSM, Lau R, et al. Dietary fibre, whole grains, and risk of colorectal cancer: systematic review and dose-response meta-analysis of prospective studies. BMJ. 2011;343:d6617. https://doi.org/10.1136/bmj.d6617 . · DOI · Paper page
  5. Viner RM, Ross D, Hardy R, et al. Life course epidemiology: recognising the importance of adolescence. J Epidemiol Community Health. 2015;69:719–20. https://doi.org/10.1136/jech-2014-205300 . · DOI · Paper page
  6. Rindfuss RR. The young adult years: diversity, structural change, and fertility. Demography. 1991;28:493–512. https://doi.org/10.2307/2061419 . · DOI · Paper page
  7. Verplanken B, Walker I, Davis A, et al. Context change and travel mode choice: combining the habit discontinuity and self-activation hypotheses. J Environ Psychol. 2008;28:121–7. https://doi.org/10.1016/j.jenvp.2007.10.005 . · DOI · Paper page
  8. Verplanken B, Roy D. Empowering interventions to promote sustainable lifestyles: testing the habit discontinuity hypothesis in a field experiment. J Environ Psychol. 2016;45:127–34. https://doi.org/10.1016/j.jenvp.2015.11.008 . · DOI · Paper page
  9. Hanson NI, Neumark-Sztainer D, Eisenberg ME, et al. Associations between parental report of the home food environment and adolescent intakes of fruits, vegetables and dairy foods. Public Health Nutr. 2005;8:77–85. https://doi.org/10.1079/PHN2005661 . · DOI · Paper page
  10. Neumark-Sztainer D, Hannan PJ, Story M, et al. Family meal patterns: associations with sociodemographic characteristics and improved dietary intake among adolescents. J Am Diet Assoc. 2003;103:317–22. https://doi.org/10.1053/jada.2003.50048 . · DOI · Paper page
  11. Larson NI, Neumark-Sztainer D, Hannan PJ, et al. Family meals during adolescence are associated with higher diet quality and healthful meal patterns during young adulthood. J Am Diet Assoc. 2007;107:1502–10. https://doi.org/10.1016/j.jada.2007.06.012 . · DOI · Paper page
  12. Nelson Laska M, Larson NI, Neumark-Sztainer D, et al. Dietary patterns and home food availability during emerging adulthood: do they differ by living situation? Public Health Nutr. 2010;13:222–8. https://doi.org/10.1017/S1368980009990760 . · DOI
  13. Watts AW, Laska MN, Larson NI, et al. Millennials at work: workplace environments of young adults and associations with weight-related health. J Epidemiol Community Health. 2016;70:65–71. https://doi.org/10.1136/jech-2015-205782 . · DOI
  14. Berge JM, Bauer KW, MacLehose R, et al. Associations between relationship status and day-to-day health behaviors and weight among diverse young adults. Fam Syst Health. 2014;32:67–77. https://doi.org/10.1037/fsh0000002 . · DOI
  15. Hartmann C, Dohle S, Siegrist M. Time for change? Food choices in the transition to cohabitation and parenthood. Public Health Nutr. 2014;17:1–11. https://doi.org/10.1017/S1368980013003297 . · DOI
  16. Pearson N, Biddle S, Gorely T. Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutr. 2009;12:267–83. https://doi.org/10.1017/S1368980008002589 . · DOI · Paper page
  17. Utter J, Scragg R, Schaaf D, et al. Relationships between frequency of family meals, BMI and nutritional aspects of the home food environment among New Zealand adolescents. Int J Behav Nutr Phys Act. 2008;5:50. https://doi.org/10.1186/1479-5868-5-50 . · DOI
  18. El Ansari W, Stock C, Mikolajczyk RT. Relationships between food consumption and living arrangements among university students in four European countries - a cross-sectional study. Nutr J. 2012;11:28. https://doi.org/10.1186/1475-2891-11-28 . · DOI · Paper page
  19. Driessen CE, Cameron AJ, Thornton LE, et al. Effect of changes to the school food environment on eating behaviours and/or body weight in children: a systematic review. Obes Rev. 2014;15:968–82. https://doi.org/10.1111/obr.12224 . · DOI
  20. Mâsse LC, de Niet-Fitzgerald JE, Watts AW, et al. Associations between the school food environment, student consumption and body mass index of Canadian adolescents. Int J Behav Nutr Phys Act. 2014;11:29. https://doi.org/10.1186/1479-5868-11-29 . · DOI
  21. Deliens T, Deforche B, Annemans L, et al. Effectiveness of pricing strategies on French fries and fruit purchases among university students: results from an on-campus restaurant experiment. PLoS One. 2016;11:e0165298. https://doi.org/10.1371/journal.pone.0165298 . · DOI
  22. Smith KJ, McNaughton SA, Gall SL, et al. Associations between partnering and parenting transitions and dietary habits in young adults. J Acad Nutr Diet. 2015;117:1210–21. https://doi.org/10.1016/j.jand.2016.12.008 . · DOI
  23. Lien N, Lytle LA, Klepp KI. Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Prev Med. 2001;33:217–26. https://doi.org/10.1006/pmed.2001.0874 . · DOI · Paper page
  24. Wiium N, Breivik K, Wold B. Growth trajectories of health behaviors from adolescence through young adulthood. Int J Environ Res Public Health. 2015;12:13711–29. https://doi.org/10.3390/ijerph121113711 . · DOI
  25. Aaro LE, Wold B, Kannas L, et al. Health behaviour in schoolchildren a WHO cross-national survey. Health Promot Int. 1986;1:17–33. https://doi.org/10.1093/heapro/1.1.17 . · DOI
  26. Roberts C, Freeman J, Samdal O, et al. The health behaviour in school-aged children (HBSC) study: methodological developments and current tensions. Int J Public Health. 2009;54:140–50. https://doi.org/10.1007/s00038-009-5405-9 . · DOI · Paper page
  27. Skogbrott Birkeland M, Leversen I, Torsheim T, et al. Pathways to adulthood and their precursors and outcomes. Scand J Psychol. 2014;55:26–32. https://doi.org/10.1111/sjop.12087 . · DOI
  28. Lien N, Friestad C, Klepp KI. Adolescents’ proxy reports of parents’ socioeconomic status: how valid are they? J Epidemiol Community Health. 2001;55:731–7. https://doi.org/10.1136/jech.55.10.731 . · DOI · Paper page
  29. Bergh IH, Skare Ø, Aase A, et al. Weight development from age 13 to 30 years and adolescent socioeconomic status: the Norwegian longitudinal health behaviour study. Int J Public Health. 2016;61:465–73. https://doi.org/10.1007/s00038-015-0748-x . · DOI
  30. Clarke P, Crawford C, Steele F, et al. Revisiting fixed-and random-effects models: some considerations for policy- relevant education research. Educ Econ. 2015;23:259–77. https://doi.org/10.1080/09645292.2013.855705 . · DOI
  31. Vereecken C, Pedersen TP, Ojala K, et al. Fruit and vegetable consumption trends among adolescents from 2002 to 2010 in 33 countries. Eur J Pub Health. 2015;25:16–9. https://doi.org/10.1093/eurpub/ckv012 . · DOI
  32. WHO Regional Office for Europe. Evaluation of the Norwegian nutrition policy with a focus on the Action Plan on Nutrition 2007–2011. Copenhagen: World Health Organization; 2013.
  33. Winpenny EM, Penney TL, Corder K, et al. Change in diet in the period from adolescence to early adulthood: a systematic scoping review of longitudinal studies. Int J Behav Nutr Phys Act. 2017;14:60. https://doi.org/10.1186/s12966-017-0518-7 . · DOI
  34. van de Laar RJJ, Stehouwer CDA, van Bussel BCT, et al. Lower lifetime dietary fiber intake is associated with carotid artery stiffness : the Amsterdam growth and health longitudinal study. Am J Clin Nutr. 2012;96:14–23. https://doi.org/10.3945/ajcn.111.024703.Arterial . · DOI
  35. Larson NI, Neumark-Sztainer D, Hannan PJ, et al. Trends in adolescent fruit and vegetable consumption, 1999–2004. Am J Prev Med. 2007;32:147–50. https://doi.org/10.1016/j.amepre.2006.10.011 . · DOI · Paper page
  36. Blomhoff R, Lande B, Ose T. Recommendations for increased intake of fruit and vegetables [in Norwegian]. Oslo: National Nutrition Council; 1996.
  37. Brazendale K, Beets MW, Weaver RG, et al. Understanding differences between summer vs . School obesogenic behaviors of children: the structured days hypothesis. Int J Behav Nutr Phys Act. 2017;14:100. https://doi.org/10.1186/s12966-017-0555-2 . · DOI · Paper page
  38. Bove CF, Sobal J, Rauschenbach BS. Food choices among newly married couples: convergence, conflict, individualism, and projects. Appetite. 2003;40:25–41. https://doi.org/10.1016/S0195-6663(02)00147-2 . · DOI · Paper page
  39. Kemmer D, Anderson a S, Marshall DW. Living together and eating together: changes in food choice and eating habits during the transition from single to married/cohabiting. Sociol Rev. 1998;46:49–72. https://doi.org/10.1111/1467-954X.00089 . · DOI
  40. Berge JM, MacLehose R, Eisenberg ME, et al. How significant is the ‘significant other’? Associations between significant others’ health behaviors and attitudes and young adults’ health outcomes. Int J Behav Nutr Phys Act. 2012;9:35. https://doi.org/10.1186/1479-5868-9-35 . · DOI

Cited by

See all 264

Metadata

Authors
Winpenny, E. M., van Sluijs, E. M. F., White, M., Klepp, K.-I., Wold, B., & Lien, N.
Venue
International Journal of Behavioral Nutrition and Physical Activity
Publisher
Springer Science and Business Media LLC
Published
2018-09-10
Volume
15
Issue
1
Pages
86-86
ISSN
1479-5868 (ISSN-L)
DOI
10.1186/s12966-018-0719-8
OpenAlex
W2800261663
Cited by
264
References
3
FWCI
12.62
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (tdm)
Funders
  • Norges Forskningsråd (NO)
  • United Kingdom Clinical Research Collaboration (MR/K023187/1)
  • Medical Research Council (MC_UU_12015/7)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.