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Research Article| Volume 49, ISSUE 2, P100-106.e1, February 2017

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The Role of Social Support and Self-efficacy for Planning Fruit and Vegetable Intake

  • Guangyu Zhou
    Affiliations
    Department of Health Promotion, Education, and Behavior & South Carolina SmartState Center for Healthcare Quality (CHQ), Arnold School of Public Health, University of South Carolina, Columbia, SC
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  • Yiqun Gan
    Correspondence
    Address for correspondence: Yiqun Gan, PhD, Beijing Key Laboratory of Behavior and Mental Health, Department of Psychology, Peking University, Beijing 100871, China; Phone: (86-10) 62757271; Fax: (86-10) 63268050
    Affiliations
    School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Department of Psychology, Peking University, Beijing, China
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  • Kyra Hamilton
    Affiliations
    School of Applied Psychology, Griffith University, Brisbane, Queensland, Australia

    School of Psychology and Speech Pathology, Curtin University, Perth, Western Australia, Australia
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  • Ralf Schwarzer
    Affiliations
    Department of Psychology, Free University of Berlin, Berlin, Germany

    Department of Clinical, Health, and Rehabilitation Psychology, University of Social Sciences and Humanities, Warsaw, Poland
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Published:October 22, 2016DOI:https://doi.org/10.1016/j.jneb.2016.09.005

      Abstract

      Objective

      The aim of the current study was to examine the joint effect of self-efficacy, action planning, and received social support on fruit and vegetable intake.

      Design

      The study used a longitudinal design with 3 waves of data collection.

      Setting

      Major university campus in Beijing, China.

      Participants

      Young adults (n = 286).

      Variables Measured

      Age, gender, body mass index, dietary self-efficacy, and baseline behavior were measured at time 1. Two weeks after time 1, received social support and action planning were assessed (time 2); 4 weeks after time 1, subsequent fruit and vegetable consumption was measured (time 3).

      Analysis

      In a path analysis, action planning at time 2 was specified as a mediator between self-efficacy at time 1 and fruit and vegetable intake at time 3, controlling for age, gender, body mass index, and baseline behavior. In addition, in a conditional process analysis, received social support at time 2 was specified as a moderator of the self-efficacy–planning relationship.

      Results

      Action planning mediated between self-efficacy and subsequent dietary behavior, and received social support moderated between self-efficacy and planning supporting a compensation effect. Action planning served as a proximal predictor of fruit and vegetable intake, and planning one's consumption was facilitated by dietary self-efficacy.

      Conclusions and Implications

      Through the identification of social cognitive factors influencing dietary planning, interventions can target self-efficacy and received social support to test the efficacy of these mechanisms in increasing individuals' ability to ensure they consume adequate amounts of fruits and vegetables.

      Key Words

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      References

        • Boeing H.
        • Bechthold A.
        • Bub A.
        • et al.
        Critical review: vegetables and fruit in the prevention of chronic diseases.
        Eur J Nutr. 2012; 51: 637-663
        • Joshipura K.J.
        • Hu F.B.
        • Manson J.E.
        • et al.
        The effect of fruit and vegetable intake on risk for coronary heart disease.
        Ann Intern Med. 2001; 134: 1106-1114
        • Riboli E.
        • Norat T.
        Epidemiologic evidence of the protective effect of fruit and vegetables on cancer risk.
        Am J Clin Nutr. 2003; 78: 559S-569S
        • Vainio H.
        • Weiderpass E.
        Fruit and vegetables in cancer prevention.
        Nutr Cancer. 2006; 54: 111-142
      1. World Health Organization. e-Library of Evidence for Nutrition Actions (eLENA). http://www.who.int/elena/titles/fruit_vegetables_ncds/en/. Accessed March 27, 2016.

        • Guilbert J.J.
        The world health report 2002-reducing risks, promoting healthy life.
        Educ Health (Abingdon). 2003; 16: 230
        • Hall J.N.
        • Moore S.
        • Harper S.B.
        • Lynch J.W.
        Global variability in fruit and vegetable consumption.
        Am J Prev Med. 2009; 36: 402-409
        • Shaikh A.R.
        • Yaroch A.L.
        • Nebeling L.
        • Yeh M.C.
        • Resnicow K.
        Psychosocial predictors of fruit and vegetable consumption in adults: a review of the literature.
        Am J Prev Med. 2008; 34: 535-543
        • Adriaanse M.A.
        • Vinkers C.D.
        • De Ridder D.T.
        • Hox J.J.
        • De Wit J.B.
        Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence.
        Appetite. 2011; 56: 183-193
        • Guillaumie L.
        • Godin G.
        • Vézina-Im L.A.
        Psychosocial determinants of fruit and vegetable intake in adult population: a systematic review.
        Int J Behav Nutr Phys Act. 2010; 7: 12
        • Bandura A.
        Self-efficacy: The Exercise of Control.
        Freeman, New York1997
        • Hamilton K.
        • Vayro C.
        • Schwarzer R.
        Social-cognitive antecedents of fruit and vegetable consumption in truck drivers: a sequential mediation analysis.
        J Nutr Educ Behav. 2015; 47: 379-384
        • Reyes Fernández B.
        • Warner L.
        • Knoll N.
        • Montenegro-Montenegro E.
        • Schwarzer R.
        Synergistic effects of social support and self-efficacy on dietary motivation predicting fruit and vegetable intake.
        Appetite. 2015; 87: 330-335
        • Kreausukon P.
        • Gellert P.
        • Lippke S.
        • Schwarzer R.
        Planning and self-efficacy can increase fruit and vegetable consumption: a randomized controlled trial.
        J Behav Med. 2012; 35: 443-451
        • Sniehotta F.F.
        • Schwarzer R.
        • Scholz U.
        • Schüz B.
        Action planning and coping planning for long-term lifestyle change: theory and assessment.
        Eur J Soc Psychol. 2005; 35: 565-576
        • Hagger M.S.
        • Luszczynska A.
        • de Wit J.
        • et al.
        Implementation intention and planning interventions in health psychology: recommendations from the Synergy Expert Group for Research and Practice.
        Psychol Health. 2016; 18: 1-72
        • Orbell S.
        • Hodgkins S.
        • Sheeran P.
        Implementation intentions and the Theory of Planned Behavior.
        Pers Soc Psychol B. 1997; 23: 945-954
        • Zhou G.
        • Jiang T.
        • Knoll N.
        • Schwarzer R.
        Improving hand hygiene behaviour among adolescents by a planning intervention.
        Psychol Health Med. 2015; 20: 824-831
        • Zhou G.
        • Sun C.
        • Knoll N.
        • Hamilton K.
        • Schwarzer R.
        Self-efficacy, planning and action control in an oral self-care intervention.
        Health Educ Res. 2015; 30: 671-681
        • Zhou G.
        • Zhang L.
        • Knoll N.
        • Schwarzer R.
        Facilitating sunscreen use among Chinese young adults: less-motivated persons benefit from a planning intervention.
        Int J Behav Med. 2015; 22: 443-451
        • Hagger M.S.
        • Luszczynska A.
        Implementation intention and action planning interventions in health contexts: state of the research and proposals for the way forward.
        Appl Psychol Health Well-Being. 2014; 6: 1-47
        • Gollwitzer P.M.
        • Sheeran P.
        Implementation intentions and goal achievement: A meta-analysis of effects and processes.
        Adv Exp Soc Psychol. 2006; 38: 69-119
        • Schwarzer R.
        • Luszczynska A.
        Health action process approach.
        in: Conner M. Norman P. Predicting Health Behaviours. 3rd ed. McGraw Hill Open University Press, Maidenhead, UK2015: 252-278
        • Reuter T.
        • Ziegelmann J.P.
        • Wiedemann A.U.
        • et al.
        Changes in intentions, planning, and self-efficacy predict changes in behaviors: an application of latent true change modeling.
        J Health Psychol. 2010; 15: 935-947
        • Anderson E.S.
        • Winett R.A.
        • Wojcik J.R.
        • Williams D.M.
        Social cognitive mediators of change in a group randomized nutrition and physical activity intervention social support, self-efficacy, outcome expectations and self-regulation in the Guide-to-Health Trial.
        J Health Psychol. 2010; 15: 21-32
        • Schwarzer R.
        • Knoll N.
        Social support.
        in: Kaptein J.W.A. Weinman J. Health Psychology. Blackwell, Oxford, UK2010: 283-293
        • Scholz U.
        • Ochsner S.
        • Hornung R.
        • Knoll N.
        Does social support really help to eat a low-fat diet? Main effects and gender differences of received social support within the Health Action Process Approach.
        Appl Psychol Health Well-Being. 2013; 5: 270-290
        • Dishman R.K.
        • Saunders R.P.
        • Motl R.W.
        • Dowda M.
        • Pate R.R.
        Self-efficacy moderates the relation between declines in physical activity and perceived social support in high school girls.
        J Pediatr Psychol. 2008; 34: 441-451
        • Reyes Fernández B.
        • Montenegro-Montenegro E.M.
        • Knoll N.
        • Schwarzer R.
        Self-efficacy, action control, and social support explain physical activity changes among Costa Rican older adults.
        J Phys Act Health. 2014; 11: 1573-1578
        • Warner L.M.
        • Schüz B.
        • Knittle K.
        • Ziegelmann J.P.
        • Wurm S.
        Sources of perceived self-efficacy as predictors of physical activity in older adults.
        Appl Psychol Health Well-Being. 2011; 3: 172-192
        • Schulz U.
        • Schwarzer R.
        Social support in coping with illness: the Berlin Social Support Scales (BSSS).
        Diagnostica. 2003; 49: 73-82
        • Zhou G.
        • Gan Y.
        • Miao M.
        • Hamilton K.
        • Knoll N.
        • Schwarzer R.
        The role of action control and action planning on fruit and vegetable consumption.
        Appetite. 2015; 91: 64-68
        • Steptoe A.
        • Perkins-Porras L.
        • McKay C.
        • Rink E.
        • Hilton S.
        • Cappuccio F.P.
        Psychological factors associated with fruit and vegetable intake and with biomarkers in adults from a low-income neighborhood.
        Health Psychol. 2003; 22: 148-155
        • Hayes A.F.
        Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach.
        Guilford Press, New York, NY2013
        • Muthén L.K.
        • Muthén B.O.
        Mplus User's Guide.
        7th ed. Muthén & Muthén, Los Angeles, CA2015
        • Johnson P.O.
        • Neyman J.
        Tests of certain linear hypotheses and their application to some educational problems.
        Statistical Research Memoirs. 1936; 1: 57-93
        • Anderson E.S.
        • Winett R.A.
        • Wojcik J.R.
        Self-regulation, self-efficacy, outcome expectations, and social support: social cognitive theory and nutrition behavior.
        Ann Behav Med. 2007; 34: 304-312
        • Sniehotta F.F.
        Towards a theory of intentional behaviour change: plans, planning, and self-regulation.
        Br J Health Psychol. 2009; 14: 261-273
        • Yardley L.
        • Ware L.J.
        • Smith E.R.
        • et al.
        Randomised controlled feasibility trial of a web-based weight management intervention with nurse support for obese patients in primary care.
        Int J Behav Nutr Phys Act. 2014; 11: 67

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