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Systematic Review| Volume 53, ISSUE 4, P316-335, April 2021

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A Systematic Review of Psychosocial Nutrition Interventions for Young Adults

Published:February 25, 2021DOI:https://doi.org/10.1016/j.jneb.2021.01.002

      Abstract

      Introduction

      Few have examined the effects of psychosocial nutrition interventions targeting young adults, a population with low fruit and vegetable (FV) consumption. This study investigated the impact of nutrition interventions with psychosocial content on improving young adult FV intake.

      Method

      This registered systematic review was guided by the Preferred Reported Items for Systematic Reviews and Meta-Analyses.

      Results

      Searches on CINAHL, Embase, Medline PubMed, Ovid-Medline, PsychInfo, and Web of Science identified 4,113 records. Twenty-four randomized controlled trials were extracted. Eighteen studies found significant between-group differences in fruit and/or vegetable intake. Young adults with low income and racial-ethnic subgroups were underrepresented. A typology emerged as an organizing framework from the psychosocial intervention content. Interventions were anticipatory, socially engaged, a hybrid (anticipatory and socially engaged), or exposure-based. Studies also reported unintended consequences.

      Discussion

      Significant between-group differences were mostly reported by anticipatory, socially engaged, or hybrid interventions, aligning with young adult developmental needs through detailed planning, goal-setting tasks, and/or addressing social norms. Interventions with insignificant differences lacked engagement and adequate exposure.

      Implications for Research and Practice

      Demographically inclusive studies are imperative in addressing dietary disparities by socioeconomic status. A typology of interventions emphasizing content rather than theories or treatment strategies widens opportunities for interdisciplinary collaboration. More research is needed to mitigate unintended consequences (boomerang effects) in which FV intake decreased postintervention or participants disengaged in activities intended to increase FV intake.

      Key Words

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      REFERENCES

        • Van Duyn MA
        • Pivonka E.
        Overview of the health benefits of fruit and vegetable consumption for the dietetics professional: selected literature.
        J Am Diet Assoc. 2000; 100: 1511-1521
        • Swinburn BA
        • Kraak VI
        • Allender S
        • et al.
        The global syndemic of obesity, undernutrition, and climate change: the Lancet Commission report.
        Lancet. 2019; 393: 791-846
        • Akseer N
        • Al-Gashm S
        • Mehta S
        • Mokdad A
        • Bhutta ZA
        Global and regional trends in the nutritional status of young people: a critical and neglected age group.
        Ann NY Acad Sci. 2017; 1393: 3-20
        • 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: 2205-2211
        • Lachat C
        • Nago E
        • Verstraeten R
        • Roberfroid D
        • Van Camp J
        • Kolsteren P.
        Eating out of home and its association with dietary intake: a systematic review of the evidence.
        Obes Rev. 2012; 13: 329-346
      1. Centers for Disease Control and Prevention. Normal weight, overweight, and obesity among adults aged 20 and over. Centers for Disease Control and Prevention; 2017.https://www.cdc.gov/nchs/data/hus/2017/058.pdf. Accessed December 18, 2020.

        • Nour M
        • Chen J
        • Allman-Farinelli M.
        Efficacy and external validity of electronic and mobile phone-based interventions promoting vegetable intake in young adults: systematic review and meta-analysis.
        J Med Internet Res. 2016; 18: e58
        • Nour M
        • Yeung SH
        • Partridge S
        • Allman-Farinelli M.
        A narrative review of social media and game-based nutrition interventions targeted at young adults.
        J Acad Nutr Diet. 2017; 117: 735-752.e10
        • Roy R
        • Kelly B
        • Rangan A
        • Allman-Farinelli M.
        Food environment interventions to improve the dietary behavior of young adults in tertiary education settings: a systematic literature review.
        J Acad Nutr Diet. 2015; 115: 1647-1681.e1
        • Deliens T
        • Crombruggen RV
        • Verbruggen R
        • Bourdeaudhuij ID
        • Deforche B
        • Clarys P.
        Dietary interventions among university students: a systematic review.
        Appetite. 2016; 105: 14-26
        • Kelly RN
        • Mazzeo SE
        • Bean MK.
        Systematic review of dietary interventions with college students: directions for future research and practice.
        J Nutr Educ Behav. 2013; 45: 304-313
        • Lua PL
        • Elena WDWP.
        The impact of nutrition education interventions on the dietary habits of college students in developed nations: a brief review.
        Malays J Med Sci. 2012; 19: 4-14
        • Hebden L
        • Chey T
        • Allman-Farinelli M.
        Lifestyle intervention for preventing weight gain in young adults: a systematic review and meta-analysis of RCTs.
        Obes Rev. 2012; 13: 692-710
        • Lichtenstein AH
        • Yetley EA
        • Lau J.
        Application of systematic review methodology to the field of nutrition.
        J Nutr. 2008; 138: 2297-2306
        • Moher D
        • Liberati A
        • Tetzlaff J
        • Altman DG
        • Group PRISMA
        Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement.
        Open Med. 2009; 3: e123-e130
        • Shimizu R
        • Munson MR.
        A systematic review of psychosocial nutrition interventions on improving dietary intake in young adults.
        Prospero. 2019;
      2. Vespa J. The changing economics and demographics of young adulthood: 1975–2016. 2017.https://www.census.gov/library/publications/2017/demo/p20-579.html. Accessed December 18, 2020.

        • Drewnowski A.
        The cost of US foods as related to their nutritive value.
        Am J Clin Nutr. 2010; 92: 1181-1188
      3. The World Bank. Classifying countries by income.https://datatopics.worldbank.org/world-development-indicators/stories/the-classification-of-countries-by-income.html. Accessed December 18, 2020.

        • Hall JN
        • Moore S
        • Harper SB
        • Lynch JW.
        Global variability in fruit and vegetable consumption.
        Am J Prev Med. 2009; 36: 402-409.e5
      4. Nestle M. Corporate funding of food and nutrition research, science or marketing. JAMA Intern Med. 2016;176:13–14.

        • Liu RH.
        Health-promoting components of fruits and vegetables in the diet.
        Adv Nutr. 2013; 4: 384S-392S
        • Higgins JPT
        • Thomas J
        • Chandler J
        • et al.
        Cochrane Handbook for Systematic Reviews of Interventions [version 6.0].
        Cochrane, 2019
        https://training.cochrane.org/handbook/current
        Date accessed: December 18, 2020
        • Sterne JAC
        • Svović J
        • Page MJ
        • et al.
        RoB2: a revised tool for assessing risk of bias in randomized trials.
        BMJ. 2019; 366: I4898
        • Brookie KL
        • Mainvil LA
        • Carr AC
        • Vissers MCM
        • Conner TS.
        The development and effectiveness of an ecological momentary intervention to increase daily fruit and vegetable consumption in low-consuming young adults.
        Appetite. 2017; 108: 32-41
        • Brown ON
        • O'Connor LE
        • Savaiano D
        Savaiano D. Mobile MyPlate: a pilot study using text messaging to provide nutrition education and promote better dietary choices in college students.
        J Am Coll Health. 2014; 62: 320-327
        • Cameron D
        • Epton T
        • Norman P
        • et al.
        A theory-based online health behavior intervention for new university students (U@Uni:LifeGuide): results from a repeat randomized controlled trial.
        Trials. 2015; 16: 555
        • Chapman J
        • Armitage CJ
        • Norman P.
        Comparing implementation intention interventions in relation to young adults’ intake of fruit and vegetables.
        Psychol Health. 2009; 24: 317-332
        • Franko DL
        • Cousineau TM
        • Trant M
        • et al.
        Motivation, self-efficacy, physical activity and nutrition in college students: randomized controlled trial of an internet-based education program.
        Prev Med. 2008; 47: 369-377
        • Godinho CA
        • Alvarez M
        • Lima ML
        • Schwarzer R.
        Health messages to promote fruit and vegetable consumption at different stages: a match-mismatch design.
        Pyschol Health. 2015; 30: 1410-1432
        • Gow RW
        • Trace SE
        • Mazzeo SE.
        Preventing weight gain in first year college students: an online intervention to prevent the “freshman fifteen”.
        Eat Behav. 2010; 11: 33-39
        • Greene GW
        • White AA
        • Hoerr SL
        • et al.
        Impact of an online healthful eating and physical activity program for college students.
        Am J Health Promot. 2012; 27: e47-e58
        • Kattlemann KK
        • Bredbenner CB
        • White AA
        • et al.
        The effects of young adults eating and active for health (YEAH): a theory-based web-delivered intervention.
        J Nutr Educ Behav. 2014; 46: S27-S41
        • Kendzierski D
        • Ritter RL
        • Stump TK
        • Anglin CL.
        The effectiveness of an implementation intentions intervention for fruit and vegetable consumption as moderated by self-schema status.
        Appetite. 2015; 95: 228-238
        • Kerr DA
        • Harray AJ
        • Pollard CM
        • et al.
        The connecting health and technology study: a 6-month randomized controlled trial to improve nutrition behaviors using a mobile food record and text messaging support in young adults.
        Int J Behav Nutr Phys Act. 2016; 13: 52
        • Kothe EJ
        • Mullan BA.
        A randomised controlled trial of a theory of planned behavior to increase fruit and vegetable consumption, Fresh Facts.
        Appetite. 2014; 78: 68-75
        • Kypri K
        • McAnally HM.
        Randomized controlled trial of a web-based primary care intervention for multiple health risk behaviors.
        Prev Med. 2005; 41: 761-766
        • Meng J
        • Peng W
        • Shin SY
        • Chung M.
        Online self-tracking groups to increase fruit and vegetable intake: a small-scale stud on mechanisms of group effect on behavior change.
        J Med Internet Res. 2017; 19: e63
        • Nitzke S
        • Kritsch K
        • Boeckner L
        • et al.
        A stage-tailored multi-modal intervention increases fruit and vegetable intakes of low-income young adults.
        Am J Health Promot. 2007; 22: 6-14
        • Nix E
        • Wengreen HJ.
        Social approval bias in self-reported fruit and vegetable intake after presentation of a normative message in college students.
        Appetite. 2017; 116: 552-558
        • O'Brien LM
        • Palfai TP.
        Efficacy of a brief web-based intervention with and without SMS to enhance healthy eating behaviors among university students.
        Eat Behav. 2016; 23: 104-109
        • Pellitteri K
        • Huberty J
        • Ehlers D
        • Bruening M.
        Fit minded college edition pilot study: can a magazine-based discussion group improve physical activity in female college freshmen?.
        J Public Health Manag Pract. 2017; 23: e10-e19
        • Richards A
        • Kattelmann KK
        • Ren C.
        Motivating 18-to-24-year-olds to increase their fruit and vegetable consumption.
        J Am Diet Assoc. 2006; 106: 1405-1411
        • Rompotis CJ
        • Grove JR
        • Byrne SM.
        Benefits of habit-based informational interventions: a randomized controlled trial of fruit and vegetable consumption.
        Aus N Z J Public Health. 2014; 38: 247-252
        • Troop NA.
        Brief report: effect of dietary restraint on fruit and vegetable intake following implementation intentions.
        J Health Psychol. 2013; 18: 861-865
        • Whatnall MC
        • Patterson AJ
        • Chiu S
        • Oldmeadow C
        • Hutchesson MJ.
        Feasibility and preliminary efficacy of the eating advice to students (EATS) brief web-based nutrition intervention for young adult university students: a pilot randomized controlled trial.
        Nutrients. 2019; 11: 905
        • Zhang Y
        • Cooke R.
        Using a combined motivational and volitional intervention to promote exercise and healthy dietary behavior among undergraduates.
        Diabetes Res Clin Pract. 2012; 95: 215-223
        • Cappuccio FP
        • Rink E
        • Perkins-Porras L
        • et al.
        Estimation of fruit and vegetable intake using a two-item dietary questionnaire: a potential tool for primary health care workers.
        Nutr Metab Cardiovasc Dis. 2003; 13: 12-19
        • Margetts BM
        • Thompson RL
        • Speller V
        • McVey D
        Factors which influence ‘healthy’ eating patterns: Results from the 1993 Health Education Authority, health and lifestyle survey in England.
        Public Health Nutr. 1998; 1: 193-198
        • Thompson F
        • Midthune D
        • Subar A
        • et al.
        Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre.
        Public Health Nutr. 2004; 7: 1097-1106
        • Wiedemann AU
        • Lippke S
        • Schwarzer R
        Multiple plans and memory performance: Results of a randomized controlled trial targeting fruit and vegetable intake.
        J Behav Med. 2012; 35: 387-392
        • Block G
        • Gillespie C
        • Rosenbaum EH
        • Jenson C
        A rapid food screener to assess fat and fruit and vegetable intake.
        Am J Prev Med. 2000; 18: 284-288
        • Resnicow K
        • Odom E
        • Wang T
        • et al.
        Validation of three food frequency questionnaires and 24-hour recalls with serum carotenoid levels in a sample of African American adults.
        Am J Epidemiol. 2000; 152: 1072-1080
        • Daly A
        • Pollard CM
        • Kerr DA
        • Binns CW
        • Phillips M
        Using short dietary questions to develop indicators of dietary behaviour for use in surveys exploring attitudinal and/or behavioural aspects of dietary choices.
        Nutrients. 2015; 7: 6330-6345
        • Marks G
        • Webb K
        • Rutishauser I
        • Riley M
        Monitoring food habits in the Australian population using short questions.
        Commonwealth Department of Health and Aged Care, 2001
        • Ajzen I.
        The theory of planned behavior.
        Organ Behav Hum Decis Processes. 1991; 50: 179-211
        • Prochaska JO
        • DiClemente CC.
        Stages and processes of self-change of smoking: toward an integrative model of change.
        J Consult Clin Psychol. 1983; 51: 390-395
        • Verplanken B
        • Orbell S.
        Reflections on past behavior: a self-report index of habit strength.
        J Appl Soc Psychol. 2003; 33: 1313-1330
        • Thaler RH
        • Sunstein CR.
        Nudge, Improving Decisions About Health, Wealth, and Happiness.
        Penguin Group, 2009
        • Gollwitzer PM.
        Implementation intentions: strong effects of simple plans.
        Ann Psychol. 1999; 54: 493-503
        • Rogers RW
        • Prentice-Dunn S.
        Protection motivation theory.
        in: Gochman DS Handbook of Health Behavior Research I: Personal and Social Determinants. Springer, 1997 (133–132)
        • Neighbors C
        • Larimer ME
        • Lewis MA.
        Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention.
        J Consult Clin Psychol. 2004; 72: 434-447
        • Bandura A
        • McDonald FJ.
        Influence of social reinforcement and the behavior of models in shaping children's moral judgment.
        J Abnorm Soc Psychol. 1963; 67: 274-281
        • Edwards W.
        The theory of decision making.
        in: Weiss J Weiss DJ A Science of Decision Making: the Legacy of Ward Edwards. Oxford University Press, 2009: 3-32
        • Miller WR
        • Rollnick S.
        Motivational Interviewing: Helping People Change.
        3rd ed. Guilford Press, 2013
        • Shiffman S
        • Stone AA
        • Hufford MR.
        Ecological momentary assessment.
        Annu Rev Cli Psychol. 2008; 4: 1-32
      5. Ellyn Satter Institute. The Satter eating competence model. https://www.ellynsatterinstitute.org/satter-eating-competence-model. Accessed December 18, 2020.

        • Mikesell L
        • Bromley E
        • Khodyakov D.
        Ethical community-engaged research: A literature review.
        Am J Public Health. 2013; 103: e7-e14
        • Schultdt JP
        • Guillory JE
        • Gay GK.
        Prejudice and the plate: effects of weight bias in nutrition judgments.
        Health Commun. 2016; 3: 182-192
        • McCambridge J
        • Sorhaindo A
        • Quirk A
        • Nanchahal K.
        Patient preferences and performance bias in a weight loss trial with a usual care arm.
        Patient Educ Couns. 2014; 95: 243-247
        • Shim J
        • Oh K
        • Kim HC.
        Dietary assessment methods in epidemiologic studies.
        Epidemiol Health. 2014; 36e2014009
        • Cohen J.
        The earth is round (p < .05).
        Am Psychol. 1994; 49: 997-1003
        • Natarajan L
        • Pu M
        • Fan J
        • et al.
        Measurement error of dietary self-report in intervention trials.
        Am J Epidemiol. 2010; 172: 819-827
        • Given LM
        The SAGE Encyclopedia of Qualitative Research Methods.
        SAGE Publications, Inc, 2008
        • Bonnie RJ
        • Stroud C
        • Breiner H.
        Young Adults in the 21st century.
        Investing in the Health and Well-Being of Young Adults. National Academies Press, 2015
        • Muirimi MW
        • Kanyi M
        • Mupfudze T
        • Amin MR
        • Mbogori T
        • Aldubayan K.
        Factors influencing efficacy of nutrition education interventions: a systematic review.
        J Nutr Educ Behav. 2017; 49: 142-165.e1
        • National Research Council
        Committee on Aging Frontiers in Social Psychology, personality, and adult developmental psychology.
        in: Carstensen LL Hartel CR When I'm 64. National Academies Press, 2006
        • Allen-Scott LK
        • Hatfield JM
        • McIntyre L
        A scoping review of unintended harm associated with public health interventions: towards a typology and an understanding of underlying factors.
        Int J Public Health. 2014; 59: 3-14
        • Ringold DJ.
        Boomerang effects in response to public health interventions. Some unintended consequences in the alcoholic beveragemarket.
        J Consum Policy. 2002; 25: 27-63
        • Brombach C.
        Meals and eating practices within a multi-generational approach: a qualitative insight study.
        Int J Clin Nutr Diet. 2017; 3: 122
        • Werner D
        • Teufel J
        • Hotlgrave PL
        • Brown SL.
        Active generations: an intergenerational approach to preventing childhood obesity.
        J Sch Health. 2012; 82: 380-386