Skip to main content

Advertisement

Log in

The Transition into Young Adulthood: a Critical Period for Weight Control

  • Obesity (J McCaffery, Section Editor)
  • Published:
Current Diabetes Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

Emerging adulthood (age 18–25) represents a critical period for weight control: rate of weight gain is greatest during these years and the prevalence of overweight and obesity is estimated to be at least 40% among emerging adults. Unique behavioral, psychosocial, and cognitive risk factors among this population must be specifically addressed within weight management programs. We review extant treatment approaches, including lessons learned from the nascent literature specifically targeting this population. Lastly, we provide suggestions to inform future work in this area.

Recent Findings

The EARLY consortium comprises seven clinical trials targeting weight control in young adults age 18–35. Though these studies encompass a broader age range, two of the trials enrolled large numbers of 18–25-year-olds. Results from these trials and other recent pilot trials provide a foundation for next steps with respect to developing weight management interventions for emerging adults.

Summary

The design of targeted weight control approaches for emerging and young adults has contributed to improved outcomes for this high-risk population. However, suboptimal engagement and variability in response pose challenges. Identifying and intervening on individual-level behavioral and psychological variables may enhance the effects of these adapted treatments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

Papers of particular interest, published recently, have been highlighted as: • Of importance

  1. Williamson DF, Kahn HS, Remington PL, Anda RF. The 10-year incidence of overweight and major weight gain in US adults. Arch Intern Med. 1990;150:665–72. https://doi.org/10.1001/archinte.1990.00390150135026.

    Article  CAS  PubMed  Google Scholar 

  2. Mokdad AH, Serdula MK, Dietz WH, Bowman BA, Marks JS, Koplan JP. The spread of the obesity epidemic in the United States, 1991-1998. JAMA. 1999;282:1519–22. https://doi.org/10.1001/jama.282.16.151.

    Article  CAS  PubMed  Google Scholar 

  3. Muyle TP, Park MJ, Nelson CD, Adams SH, Irwin CE Jr, Brindis CD. Trends in adolescent and young adult health in the United States. J Adolesc Health. 2009;45(1):8–24. https://doi.org/10.1016/j.jadohealth.2009.03.013.

    Article  Google Scholar 

  4. • Truesdale KP, Stevens J, Lewis CE, Schreiner PJ, Loria CM, Cai J. Changes in risk factors for cardiovascular disease by baseline weight status in young adults who maintain or gain weight over 15 years: the CARDIA study. Int J Obes. 2016;30:1397–407. https://doi.org/10.1038/sj.ijo.0803307. Findings of this study underscore the importance of weight control in young adulthood: weight gained specifically during these years was associated with poorer cardiometabolic functioning 15 years later, regardless of initial weight status.

    Article  Google Scholar 

  5. Norman JE, Bild D, Lewis CE, Liu K, West DS, CARDIA Study. The impact of weight change on cardiovascular disease risk factors in young black and white adults: the CARDIA study. Int J Obes Relat Metab Disord. 2003;27:369–76. https://doi.org/10.1038/sj.ijo.0802243.

    Article  CAS  PubMed  Google Scholar 

  6. Carnethon MR, Loria CM, Hill JO, Sidney S, Savage PJ, Liu K. Risk factors for the metabolic syndrome: the Coronary Artery Risk Development in Young Adults (CARDIA) study, 1985-2001. Diabetes Care. 2004;27:2707–15.

    Article  PubMed  Google Scholar 

  7. Lloyd-Jones DM, Liu K, Colangelo LA, Yan LL, Klein L, Loria CM, et al. Consistently stable or decreased body mass index in young adulthood and longitudinal changes in metabolic syndrome components: the Coronary Artery Risk Development in Young Adults Study. Circulation. 2007;115:1004–11. https://doi.org/10.1161/ circulationaha.106.648642.

  8. Merten MJ. Weight status continuity and change from adolescence to young adulthood: examining disease and health risk conditions. Obesity (Silver Spring). 2010;18:1423–8. https://doi.org/10.1038/oby.2009.365.

    Article  Google Scholar 

  9. Arnett JJ. Emerging adulthood: a theory of development from the late teens through the twenties. Am Psychol. 2000;55:469–80. https://doi.org/10.1037/0003-066X.55.5.469.

    Article  CAS  PubMed  Google Scholar 

  10. Roisman GI, Masten AS, Coatsworth JD, Tellegan A. Salient and emerging developmental tasks in the transition to adulthood. Child Dev. 2004;75:123–33. https://doi.org/10.1093/acprof:oso/9780199736546.003.0.

    Article  PubMed  Google Scholar 

  11. Arnett JJ. Emerging adulthood: the winding road from the late teens through the twenties. New York: Oxford University Press; 2004.

    Google Scholar 

  12. Arnett JJ. Adolescence and emerging adults: a cultural approach. 5th ed. Upper Saddle River: Pearson Education; 2013.

    Google Scholar 

  13. Arnett JJ. Clark University poll of emerging adults: working, education, and identity. Worcester: Clark University; 2015. http://www.clarku.edu/clark-poll-emerging-adults/pdfs/2015-clark-poll-report.pdf. Accessed 15 May 2017

    Google Scholar 

  14. Geographical Mobility Database. United States Census Bureau. 2016. http://www.census.gov/data/tables/2016/demo/geographic-mobility/cps-2016.html. Accessed 15 May 2017.

  15. Arnett JJ, Schwab J. The Clark University poll of emerging adults: thriving, struggling, & hopeful. Worcester: Clark University; 2012. http://www2.clarku.edu/clark-poll-emerging-adults/pdfs/clark-university-poll-emerging-adults-findings.pdf. Accessed 15 May 2017

    Google Scholar 

  16. Scott ME, Schelar E, Manlove J, Cui C. Young adult attitudes about relationships and marriage: times may have changed but expectations remain high. Child Trends. 2009. https://www.childtrends.org/wp-content/uploads/2009/07/Child_Trends-2009_07_08_RB_YoungAdultAttitudes.pdf. Accessed 15 May 2017.

  17. Rauer AJ, Pettit GS, Lansford JE, Bates JE, Dodge KA. Romantic relationship patterns in young adulthood and their developmental antecedents. Dev Psychol. 2013;49:2159–71. https://doi.org/10.1037/a0031845.

    Article  PubMed  Google Scholar 

  18. Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci U S A. 2004;101:8174–9. https://doi.org/10.1073/pnas.0402680101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Sowell ER, Thompson PM, Toga AW. Mapping changes in the human cortex throughout the span of life. Neuroscientist. 2004;10:372–92. https://doi.org/10.1177/1073858404263960.

    Article  PubMed  Google Scholar 

  20. Sowell ER, Thompson PM, Holmes CJ, Jernigan TL, Toga AW. In vivo evidence for post-adolescent brain maturation in frontal and striatal regions. Nat Neurosci. 1999;2:859–61. https://doi.org/10.1038/13154.

    Article  CAS  PubMed  Google Scholar 

  21. Vukman KB. Developmental differences in metacognition and their connections with cognitive development in adulthood. J Adult Dev. 2005;12:211–21. https://doi.org/10.1007/s10804-005-7089-6.

    Article  Google Scholar 

  22. Johnson SB, Blum RW, Giedd JN. Adolescent maturity and the brain: the promise and pitfalls of neuroscience research in adolescent health policy. J Adolesc Health. 2009;45:216–21. https://doi.org/10.1016/j.jadohealth.2009.05.016.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Targeted approaches to weight control for young adults. National Institutes of Health. 2008. https://grants.nih.gov/grants/guide/rfa-files/RFA-HL-08-007.html. Accessed 15 May 2017.

  24. Loria CM, Signore C, Arteaga SS. The need for targeted weight-control approaches in young women and men. Am J Prev Med. 2010;38:233–5. https://doi.org/10.1016/j.amepre.2009.11.001.

    Article  PubMed  PubMed Central  Google Scholar 

  25. National college health assessment II: Reference group executive summary. American College Health Association. 2011. http://www.acha-ncha.org/docs/ACHA-NCHA-II_ReferenceGroup_ExecutiveSummary_Spring2011.pdf. Accessed 15 May 2017.

  26. Duffey KJ, Gordon-Larsen P, Jacobs DR, Williams OD, Popkin BM. Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study. Am J Clin Nutr. 2007;85:201–8.

    CAS  PubMed  Google Scholar 

  27. Niemeier HM, Raynor HA, Lloyd-Richardson EE, Rogers ML, Wing RR. Fast food consumption and breakfast skipping: predictors of weight gain from adolescence to adulthood in a nationally representative sample. J Adolesc Health. 2006;39:842–9. https://doi.org/10.1016/j.jadohealth.2006.07.001.

    Article  PubMed  Google Scholar 

  28. Huffman L, West DS. Readiness to change sugar sweetened beverage intake among college students. Eat Behav. 2007;8:10–14. https://doi.org/10.1016/j.eatbeh.2006.04.005.

  29. Results from the 2015 national survey on drug use and health. Substance Abuse and Mental Health Services Administration. 2016. https://www.samhsa.gov/data/sites/default/files/NSDUH-DetTabs-2015/NSDUH-DetTabs-2015/NSDUH-DetTabs-2015.pdf. Accessed 15 May 2017.

  30. Nelson MC, Story M, Larson NI, Neumark-Sztainer D, Lytle LA. Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity (Silver Spring). 2008;16:2205–11. https://doi.org/10.1038/oby.2008.365.

    Article  Google Scholar 

  31. Physical activity. Healthy People 2020. www.healthypeople.gov/2020/topics-objectives/topic/physical-activity. Accessed 15 May 2017.

  32. Caspersen CJ, Pereira MA, Curran KM. Changes in physical activity patterns in the United States, by sex and cross-sectional age. Med Sci Sports Exerc. 2000;32:1601–9. https://doi.org/10.1097/00005768-200009000-00013.

    Article  CAS  PubMed  Google Scholar 

  33. • LaRose JG, Guthrie KM, Lanoye A, Tate DF, Robichaud E, Caccavale LJ, et al. A mixed methods approach to improving recruitment and engagement of emerging adults in behavioural weight loss programs. Obes Sci Pract. 2016;2:341–54. https://doi.org/10.1002/osp4.71. This paper synthesizes results across 2 studies—one focus group study and one quantitative survey—and draws conclusions regarding effective methods for recruiting and engaging emerging adults age 18–25 in weight loss programs.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Nelson MC, Kocos R, Lytle LA, Perry CL. Understanding the perceived determinants of weight-related behaviors in late adolescence: a qualitative analysis among college youth. J Nutr Educ Behav. 2009;41:287–92. https://doi.org/10.1016/j.jneb.2008.05.005.

    Article  PubMed  Google Scholar 

  35. Greaney ML, Less FD, White AA, Dayton SF, Riebe D, Blissmer B, et al. College students’ barriers and enablers for healthful weight management: a qualitative study. J Nutr Educ Behav. 2009;41:281–6. https://doi.org/10.1016/j.jneb.2008.04.354.

    Article  PubMed  Google Scholar 

  36. Maslowsky J, Ozer EJ. Developmental trends in sleep duration in adolescence and young adulthood: evidence from a national United States sample. J Adolesc Health. 2014;54:691–7. https://doi.org/10.1016/j.jadohealth.2013.10.201.

    Article  PubMed  Google Scholar 

  37. Multiple jobholding over the past two decades. Bureau of Labor Statistics. 2015. https://www.bls.gov/opub/mlr/2015/article/multiple-jobholding-over-the-past-two-decades-2.htm. Accessed 15 May 2017.

  38. Vargas PA. The link between inadequate sleep and obesity in young adults. Curr Obes Rep. 2016;5:38–50. https://doi.org/10.1007/s13679-016-0186-y.

    Article  PubMed  Google Scholar 

  39. Marucci-Wellman HR, Lombardi DA, Willetts JL. Working multiple jobs over a day or a week: short-term effects on sleep duration. Chronobiol Int. 2016;33:630–49. https://doi.org/10.3109/07420528.2016.1167717.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Steptoe A, Peacey V, Wardle J. Sleep duration and health in young adults. Arch Intern Med. 2006;166:1689–92. https://doi.org/10.1001/archinte.166.16.1689.

    Article  PubMed  Google Scholar 

  41. Hart CN, LaRose JG, Fava J, James B, Wing RR. The association between time in bed and obesity risk in young adults. Behav Sleep Med. 2013;11:321–7. https://doi.org/10.1080/15402002.2012.700289.

    Article  PubMed  Google Scholar 

  42. Jackson CL, Redline S, Emmons KM. Sleep as a potential fundamental contributor to disparities in cardiovascular health. Annu Rev Public Health. 2015;18:417–40. https://doi.org/10.1146/annurev-publhealth-031914-122838.

    Article  Google Scholar 

  43. Spiegel K, Tasali E, Penev P, Van Cauter E. Brief communication: sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med. 2004;141:846–50.

    Article  PubMed  Google Scholar 

  44. Markwald RR, Melanson EL, Smith MR, Higgins J, Perreault L, Eckel RH, et al. Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain. Proc Natl Acad Sci U S A. 2013;110:5695–700. https://doi.org/10.1073/pnas.1216951110.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Ford ES, Li C, Wheaton AG, Chapman DP, Perry GS, Croft JB. Sleep duration and body mass index and waist circumference among U.S. adults. Obesity (Silver Spring). 2014;22:598–607. https://doi.org/10.1002/oby.20558.

    Article  Google Scholar 

  46. Stress by generation. American Psychological Association. 2012. http://www.apa.org/news/press/releases/stress/2012/generations.aspx. Accessed 15 May 2017.

  47. Kessler RC, Walters EE. Epidemiology of DSM-III-R major depression and minor depression among adolescents and young adults in the National Comorbidity Survey. Depress Anxiety. 1998;7:3–14.

    Article  CAS  PubMed  Google Scholar 

  48. Major depression among adults. National Institute of Mental Health. 2015. www.nimh.nih.gov/health/statistics/prevalence/major-depression-among-adults.shtml. Accessed 15 May 2017.

  49. Druss BG, Hoff RA, Rosenheck RA. Underuse of antidepressants in major depression: prevalence and correlates in a national sample of young adults. J Clin Psychiatry. 2000;61:234–7.

    Article  CAS  PubMed  Google Scholar 

  50. Charmandari E, Tsigos C, Chrousos G. Endocrinology of the stress response. Annu Rev Physiol. 2005;67:259–84. https://doi.org/10.1146/annurev.physiol.67.040403.120816.

    Article  CAS  PubMed  Google Scholar 

  51. Torres SJ, Nowson CA. Relationship between stress, eating behavior, and obesity. Nutrition. 2007;23:887–94. https://doi.org/10.1016/j.nut.2007.08.008.

    Article  PubMed  Google Scholar 

  52. Swinburn B, Egger G, Raza F. Dissecting obesogenic environments: the development and application of a framework for identifying and prioritizing environmental interventions for obesity. Prev Med. 1999;29:563–70. https://doi.org/10.1006/pmed.1999.0585.

    Article  CAS  PubMed  Google Scholar 

  53. Forman E, Butryn M, Manasse S, Crosby R, Goldstein S, Wyckoff E, et al. Acceptance-based versus standard behavioral treatment for obesity: results from the mind your health randomized controlled trial. Obesity (Silver Spring). 2016;24:2050–6. https://doi.org/10.1002/oby.21601.

    Article  Google Scholar 

  54. Corsica JA, Hood MM. Eating disorders in an obesogenic environment. J Am Diet Assoc. 2011;111:996–1000. https://doi.org/10.1016/j.jada.2011.04.011.

    Article  PubMed  Google Scholar 

  55. King BM. The modern obesity epidemic, ancestral hunter-gatherers, and the sensory/reward control of food intake. Am Psychol. 2013;68:88–96. https://doi.org/10.1037/a0030684.

    Article  PubMed  Google Scholar 

  56. Anderson DA, Shapiro JR, Lundgren JD. The freshman year of college as a critical period for weight gain: an initial evaluation. Eat Behav. 2003;4:363–7. https://doi.org/10.1016/S1471-0153(03)00030-8.

    Article  PubMed  Google Scholar 

  57. Larson NI, Perry CL, Story M, Neumark-Sztainer D. Food preparation by young adults is associated with better diet quality. J Am Diet Assoc. 2006;106(12):2001–7.

    Article  PubMed  Google Scholar 

  58. Back to school statistics. National Center for Education Statistics. https://nces.ed.gov/fastfacts/display.asp?id=372. Accessed 15 May 2017.

  59. Leahey TM, Gokee LaRose J, Fava JL, Wing RR. Social influences are associated with BMI and weight loss intentions in young adults. Obesity (Silver Spring). 2011;1:1157–62. https://doi.org/10.1038/oby.2010.301.

    Article  Google Scholar 

  60. Leahey TM, Doyle CY, Xu X, Bihuniak J, Wing RR. Social networks and social norms are associated with obesity treatment outcomes. Obesity (Silver Spring). 2015;23:1550–4. https://doi.org/10.1002/oby.21074.

    Article  Google Scholar 

  61. Fitzpatrick S, Gilbert S, Serpell L. Systematic review: are overweight and obese individuals impaired on behavioural tasks of executive functioning? Neuropsychol Rev. 2013;23:138–56. https://doi.org/10.1007/s11065-013-9224-7.

    Article  PubMed  Google Scholar 

  62. Limbers CA, Young D. Executive functions and consumption of fruits/vegetables and high saturated fat foods in young adults. J Health Psychol. 2015;20:602–11. https://doi.org/10.1177/1359105315573470.

    Article  PubMed  Google Scholar 

  63. Hofmann W, Schmeichel BJ, Baddeley AD. Executive functions and self-regulation. Trends Cogn Sci. 2012;16:174–80. https://doi.org/10.1016/j.tics.2012.01.006.

    Article  PubMed  Google Scholar 

  64. Wing RR, Tate DF, Gorin AA, Raynor HA, Fava JL. A self-regulation program for maintenance of weight loss. N Engl J Med. 2006;355:1563–71. https://doi.org/10.1056/NEJMoa061883.

    Article  CAS  PubMed  Google Scholar 

  65. Gokee-LaRose J, Gorin AA, Wing RR. Behavioral self-regulation for weight loss in young adults: a randomized controlled trial. Int J Behav Nutr Phys Act. 2009;6. https://doi.org/10.1186/1479–5868–6-10.

  66. Lau JS, Adams SH, Boscardin WJ, Irwin CE Jr. Young adults’ health care utilization and expenditures prior to the Affordable Care Act. J Adolesc Health. 2014;54:663–71. https://doi.org/10.1016/j.jadohealth.2014.03.001.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Park MJ, Paul Mulye T, Adams SH, Brindis CD, Irwin CE Jr. The health status of young adults in the United States. J Adolesc Health. 2006;39:305–17. https://doi.org/10.1016/j.jadohealth.2006.04.017.

    Article  PubMed  Google Scholar 

  68. Fortuna RJ, Robbins BW, Halterman JS. Ambulatory care among young adults in the United States. Ann Intern Med. 2009;151:379–85.

    Article  PubMed  Google Scholar 

  69. • Committee on Improving the Health, Safety, and Well-Being of Young Adults; Board on Children, Youth, and Families, Institute of Medicine, National Research Council. The health care system. In: Bonnie RJ, Stroud C, Breiner H, editors. Investing in the health and well-being of young adults. Washington (DC): National Academies Press; 2015. This resource highlights health-related challenges unique to emerging adulthood and provides recommendations for intervention development and policy decisions.

    Google Scholar 

  70. Ozer EM, Urquhart JT, Brindis CD, Park MJ, Irwin CE Jr. Young adult preventive health care guidelines: there but can’t be found. Arch Pediatr Adolesc Med. 2012;166:240–7. https://doi.org/10.1001/archpediatrics.2011.794.

    Article  PubMed  Google Scholar 

  71. Antognoli EL, Smith KJ, Mason MJ, Milliner BR, Davis EM, Harris-Haywood S, et al. Direct observation of weight counselling in primary care: alignment with clinical guidelines. Clin Obes. 2014;4:69–76. https://doi.org/10.1111/cob.12050.

    Article  CAS  PubMed  Google Scholar 

  72. Cole AM, Keppel GA, Andrilla HA, Cox CM, Baldwin LM, et al. Primary care patients’ willingness to participate in comprehensive weight loss programs. From the WWAMI region practice and research network. J Am Board Fam Med. 2016;29:572–80. https://doi.org/10.3122/jabfm.2016.05.160039.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Altieri MS, Tuppo C, Telem DA, Herlihy D, Cottell K, Pryor AD. Predictors of a successful medical weight loss program. Surg Obes Relat Dis. 2015;11:431–5. https://doi.org/10.1016/j.soard.2014.09.019.

    Article  PubMed  Google Scholar 

  74. Yoong SL, Carey M, Sanson-Fisher R, Grady A. A systematic review of behavioural weight-loss interventions involving primary-care physicians in overweight and obese primary-care patients (1999–2011). Public Health Nutr. 2013;16:2083–99. https://doi.org/10.1017/S1368980012004375.

    Article  PubMed  Google Scholar 

  75. Booth HP, Prevost TA, Wright AJ, Gulliford MC. Effectiveness of behavioural weight loss interventions delivered in a primary care setting: a systematic review and meta-analysis. Fam Pract. 2014;31:643–53. https://doi.org/10.1093/fampra/cmu064.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Martin CK, Talamini L, Johnson A, Hymel AM, Khavjou O. Weight loss and retention in a commercial weight-loss program and the effect of corporate partnership. Int J Obes. 2010;34:742–50. https://doi.org/10.1038/ijo.2009.276.

    Article  CAS  Google Scholar 

  77. Gudzune KA, Doshi RS, Mehta AK, Chaudhry ZW, Jacobs DK, Vakil RM, et al. Efficacy of commercial weight-loss programs: an updated systematic review. Ann Intern Med. 2015;162:501–12. https://doi.org/10.7326/M14-2238.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Hemmingsson E, Johansson K, Eriksson J, Sundström J, Neovius M, Marcus C. Weight loss and dropout during a commercial weight-loss program including a very-low-calorie diet, a low-calorie diet, or restricted normal food: observational cohort study. Am J Clin Nutr. 2012;96:953–61. https://doi.org/10.3945/ajcn.112.038265.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. LaRose JG, Leahey TM, Hill JO, Wing RR. Differences in motivations and weight loss behaviors in young adults and older adults in the National Weight Control Registry. Obesity (Silver Spring). 2013;21:449–53. https://doi.org/10.1002/oby.20053.

    Article  Google Scholar 

  80. Gokee-LaRose J, Gorin AA, Raynor HA, Laska MN, Jeffery RW, Levy RL, et al. Are standard behavioral weight loss programs effective for young adults? Int J Obes. 2009;33:1374–80. https://doi.org/10.1038/ijo.2009.185.

    Article  CAS  Google Scholar 

  81. Moe SG, Lytle LA, Nanney MS, Linde JA, Laska MN. Recruiting and retaining young adults in a weight gain prevention trial: lessons learned from the CHOICES study. Clin Trials. 2016;13:205–13. https://doi.org/10.1177/1740774515605084.

    Article  PubMed  Google Scholar 

  82. Linde JA, Sevcik SM, Petrich CA, Gardner JK, Laska MN, Lozano P, et al. Translating a health behavior change intervention for delivery to 2-year college students: the importance of formative research. Transl Behav Med. 2014;4:160–9. https://doi.org/10.1007/s13142-013-0243-y.

    Article  PubMed  Google Scholar 

  83. Lytle LA, Moe SG, Nanney MS, Laska MN, Linde JA. Designing a weight gain prevention trial for young adults: the CHOICES study. Am J Health Educ. 2014;45:67–75. https://doi.org/10.1080/19325037.2013.875962.

    Article  PubMed  PubMed Central  Google Scholar 

  84. • Lytle LA, Laska MN, Linde JA, Moe SG, Nanney MS, Hannan PJ, et al. Weight-gain reduction among 2-year college students: the CHOICES RCT. Am J Prev Med. 2017;52:183–91. https://doi.org/10.1016/j.amepre.2016.10.012. The CHOICES trial, also part of the EARLY consortium, targeted 2-year college students for weight gain prevention via a one-credit college course (offered in person, online, or in combination) followed by a social networking and support website. This paper presents the main outcomes from the CHOICES trial.

    Article  PubMed  Google Scholar 

  85. Laska MN, Sevcik SM, Moe SG, Petrich CA, Nanney MS, Linde JA, et al. A 2-year young adult obesity prevention trial in the US: process evaluation results. Health Promot Int. 2016;31:793–800.

    PubMed  Google Scholar 

  86. Corsino L, Lin PH, Batch BC, Intille S, Grambow SC, Bosworth HB, et al. Recruiting young adults into a weight loss trial: report of protocol development and recruitment results. Contemp Clin Trials. 2013;35:1–7. https://doi.org/10.1016/j.cct.2013.04.002.

    Article  PubMed  PubMed Central  Google Scholar 

  87. • Svetkey LP, Batch BC, Lin PH, Intille SS, Corsino L, Tyson CC, et al. Cell phone intervention for you (CITY): a randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology. Obesity (Silver Spring). 2015;23:2133–41. https://doi.org/10.1002/oby.21226. CITY is another EARLY trial testing a technology-based delivery method for weight loss in young adults. This paper presents findings from their randomized controlled trial comparing an entirely technology-mediated intervention to one delivered in person and supplemented with technology (i.e., smartphone self-monitoring).

    Article  Google Scholar 

  88. Fernandez ID, Groth SW, Reschke JE, Graham ML, Strawderman M, Olson CM. eMoms: electronically-mediated weight interventions for pregnant and postpartum women. Study design and baseline characteristics. Contemp Clin Trials. 2015;43:63–74. https://doi.org/10.1016/j.cct.2015.04.013.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Jakicic JM, King WC, Marcus MD, Davis KK, Helsel D, Rickman AD, et al. Short-term weight loss with diet and physical activity in young adults: the IDEA study. Obesity (Silver Spring). 2015;23:2385–97. https://doi.org/10.1002/oby.21241.

    Article  CAS  Google Scholar 

  90. • Jakicic JM, Davis KK, Rogers RJ, King WC, Marcus MD, Helsel D, et al. Effect of wearable technology combined with a lifestyle intervention on long-term weight loss: the IDEA randomized clinical trial. JAMA. 2016;316:1161–71. https://doi.org/10.1001/jama.2016.12858. IDEA is also one of the EARLY trials targeting weight loss in young adults. Investigators developed an intervention delivered first in person, then via intervention website, text messages, and brief phone calls. Randomly assigned participants were given a wearable physical activity tracker. This paper presents main outcome findings 2 years post-baseline.

    Article  PubMed  PubMed Central  Google Scholar 

  91. Tate DF, LaRose JG, Griffin LP, Erickson KE, Robichaud EF, Perdue L, et al. Recruitment of young adults into a randomized controlled trial of weight gain prevention: message development, methods, and cost. Trials. 2014;15:326. https://doi.org/10.1186/1745–6215–15-326.

  92. Wing RR, Tate D, Espeland M, Gorin A, LaRose JG, Robichaud EF, et al. Weight gain prevention in young adults: design of the study of novel approaches to weight gain prevention (SNAP) randomized controlled trial. BMC Public Health. 2013;13:300. https://doi.org/10.1186/1471-2458-13-300.

    Article  PubMed  PubMed Central  Google Scholar 

  93. • Wing RR, Tate DF, Espeland MA, Lewis CE, LaRose JG, Gorin AA, et al. Innovative self-regulation strategies to reduce weight gain in young adults: the Study of Novel Approaches to Weight Gain Prevention (SNAP) randomized clinical trial. JAMA Intern Med. 2016;176:755–62. https://doi.org/10.1001/jamainternmed.2016.1236. The SNAP trial was also included in the EARLY trials consortium. Investigators developed two interventions to minimize weight gain in young adulthood: their large-changes approach aimed to induce weight loss to buffer against future weight gain, while their small-changes approach focused on small, daily changes to promote energy imbalance. This paper presents outcomes of both interventions compared to control over an average of 3 years of follow-up.

    Article  PubMed  PubMed Central  Google Scholar 

  94. Patrick K, Marshall SJ, Davila EP, Kolodziejczyk JK, Fowler JH, Calfas KJ, et al. Design and implementation of a randomized controlled social and mobile weight loss trial for young adults (project SMART). Contemp Clin Trials. 2014;37:10–8. https://doi.org/10.1016/j.cct.2013.11.001.

    Article  CAS  PubMed  Google Scholar 

  95. Gupta A, Calfas KJ, Marshall SJ, Robinson TN, Rock CL, Huang JS, et al. Clinical trial management of participant recruitment, enrollment, engagement, and retention in the SMART study using a Marketing and Information Technology (MARKIT) model. Contemp Clin Trials. 2015;42:185–95. https://doi.org/10.1016/j.cct.2015.04.002.

    Article  PubMed  PubMed Central  Google Scholar 

  96. Merchant G, Weibel N, Pina L, Griswold WG, Fowler JH, Ayala GX, et al. Face-to-face and online networks: college students’ experiences in a weight loss trial. J Health Commun. 2017;22:75–83. https://doi.org/10.1080/10810730.2016.1250847.

    Article  PubMed  Google Scholar 

  97. • Godino JG, Merchant G, Norman GJ, Donohue MC, Marshall SJ, Fowler JH, et al. Using social and mobile tools for weight loss in overweight and obese young adults (Project SMART): a 2 year, parallel-group, randomised, controlled trial. Lancet Diabetes Endocrinol. 2016;4:747–55. https://doi.org/10.1016/S2213-8587(16)30105-X. Project SMART is one of seven EARLY trials targeting weight control in young adults age 18-35. This paper presents main outcomes from their randomized controlled trial testing technology-based delivery of a weight loss intervention among college students.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Coday M, Richey P, Thomas F, Tran QT, Terrell SB, Tylavsky F, et al. The recruitment experience of a randomized clinical trial to aid young adult smokers to stop smoking without weight gain with interactive technology. Contemp Clin Trials Commun. 2016;15:61–8. https://doi.org/10.1016/j.conctc.2015.12.010.

    Article  Google Scholar 

  99. Poobalan AS, Aucott LS, Precious E, Crombie IK, Smith WC. Weight loss interventions in young people (18 to 25 year olds): a systematic review. Obes Rev. 2010;11:580–92.

    Article  CAS  PubMed  Google Scholar 

  100. LaRose JG, Tate DF, Lanoye A, Fava JL, Jelalian E, Blumenthal M, et al. Adapting evidence-based behavioral weight loss programs for emerging adults: a pilot randomized controlled trial. J Health Psychol. 2017; https://doi.org/10.1177/1359105316688951.

  101. LaRose JG, Gorin AA, Bean MK, Lanoye A, Fava JL, Robinson EM, et al. Using motivational interviewing to enhance engagement in a weight loss program targeting emerging adults: Findings from a randomized controlled pilot trial. Poster presentation at The Obesity Society Annual Meeting. 2016; New Orleans, LA.

  102. Gokee LaRose J, Leahey TM, Weinberg BM, Kumar R, Wing RR. Young adults’ performance in a low-intensity weight loss campaign. Obesity (Silver Spring). 2012;20:2314–6. https://doi.org/10.1038/oby.2012.30.

    Article  Google Scholar 

  103. Leahey TM, LaRose JG, Lanoye A, Fava JF, Wing RR. Secondary data analysis from a randomized trial examining the effects of small financial incentives on intrinsic and extrinsic motivation for weight loss. Health Psychol Behav Med. 2017;5:129-144. http://doi.org/10.1080/21642850.2016.1276460.

  104. LaRose JG, Wing RR. Lifestyle approaches to obesity treatment. In: Rios MS, Ordovas LM, Gutierrez Fuentes JA, editors. Obesity. Barcelona: Elsevier; 2011. p. 311–22.

    Google Scholar 

  105. Wing RR, Tate D, LaRose JG, Gorin AA, Erickson K, Robichaud EF, et al. Frequent self-weighing as part of a constellation of healthy weight control practices in young adults. Obesity (Silver Spring). 2015;23:943–9. https://doi.org/10.1002/oby.21064.

    Article  Google Scholar 

  106. LaRose JG, Lanoye A, Tate DF, Wing RR. Frequency of self-weighing and weight loss outcomes within a brief lifestyle intervention targeting emerging adults. Obes Sci Pract. 2016;2:88–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Napolitano MA, Hayes S, Bennett GG, Ives AK, Foster GD. Using Facebook and text messaging to deliver a weight loss program to college students. Obesity (Silver Spring). 2013;21:25–31. https://doi.org/10.1002/oby.20232.

    Article  Google Scholar 

  108. Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA. 2012;307:491–7.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jessica G. LaRose.

Ethics declarations

Conflict of Interest

Autumn Lanoye, Kristal L. Brown, and Jessica G. LaRose declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This article is a review of previously conducted research so this did not involve human subjects. Reviewed studies performed by the authors were conducted in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments.

Additional information

This article is part of the Topical Collection on Obesity

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lanoye, A., Brown, K.L. & LaRose, J.G. The Transition into Young Adulthood: a Critical Period for Weight Control. Curr Diab Rep 17, 114 (2017). https://doi.org/10.1007/s11892-017-0938-4

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s11892-017-0938-4

Keywords

Navigation