Social Cognitive Antecedents of Fruit and Vegetable Consumption in Truck Drivers: A Sequential Mediation Analysis



      To examine a mechanism by which social cognitive factors may predict fruit and vegetable consumption in long-haul truck drivers.


      Dietary self-efficacy, positive outcome expectancies, and intentions were assessed in 148 Australian truck drivers, and 1 week later they reported their fruit and vegetable consumption. A theory-guided sequential mediation model was specified that postulated self-efficacy and intention as mediators between outcome expectancies and behavior.


      The hypothesized model was confirmed. A direct effect of outcome expectancies was no longer present when mediators were included, and all indirect effects were significant, including the 2-mediator chain (β = .15; P < .05; 95% confidence interval, 0.05–0.32). Truck drivers who expected benefits from dietary change, felt confident about being capable to do so, and formed an intention were likely to report larger amounts of fruit and vegetable intake.

      Conclusions and Implications

      The results suggest that the role of outcome expectancies and self-efficacy are important to consider for understanding and predicting healthy eating intentions in truck drivers.

      Key Words

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        • National Health and Medical Research Council
        Australian Dietary Guidelines.
        National Health and Medical Research Council, Canberra2013
        • Australian Institute of Health and Welfare
        Australia’s Health 2014.
        Australian Institure of Health and Welfare, Canberra, Australia2014
        • He F.J.
        • Nowson C.A.
        • Lucas M.
        • MacGregor G.A.
        Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: meta-analysis of cohort studies.
        J Hum Hypertens. 2007; 21: 717-728
        • Lunet N.
        • Lacerda-Vieira A.
        • Barros H.
        Fruit and vegetable consumption and gastric cancer: a systematic review and meta-analysis of cohort studies.
        Nutr Cancer. 2005; 53: 1-10
        • Begg S.J.
        • Vos T.
        • Barker B.
        • Stanley L.
        • Lopez A.D.
        Burden of disease and injury in Australia in the new millennium: measuring health loss from diseases, injury and risk factors.
        Med J Aust. 2008; 188: 36-40
        • Colagiuri S.
        • Lee C.M.Y.
        • Colagiuri R.
        • et al.
        The cost of overweight and obesity in Australia.
        Med J Aust. 2010; 192: 260-264
        • World Health Organization
        Diet, Nutrition and the Prevention of Chronic Diseases.
        World Health Organization, Geneva, Switzerland2003: 1-149
        • Slavin J.L.
        • Lloyd B.
        Health benefits of fruits and vegetables.
        Adv Nutr. 2012; 3: 506-516
        • O’Donnel S.
        • Greene G.W.
        • Blissmer B.
        The effect of goal setting on fruit and vegetable consumption and physical activity level in a Web-based intervention.
        J Nutr Educ Behav. 2014; 46: 570-575
        • Bandura A.
        Social Foundations of Thought and Action: A Social Cognitive Theory.
        Prentice Hall, New Jersey1986
        • Wardle J.
        • Haase A.M.
        • Steptoe A.
        • Nillapun M.
        • Jonwutiwes K.
        • Bellisle F.
        Gender differences in food choice: the contribution of health beliefs and dieting.
        Annal Behav Med. 2004; 27: 107-116
        • Baker A.H.
        • Wardle J.
        Sex differences in fruit and vegetable intake in older adults.
        Appetite. 2003; 40: 269-275
        • Stevenson M.
        • Sharwood L.N.
        • Wong K.
        • et al.
        The heavy vehicle study: a case-control study investigating risk factors for crash in long distance heavy vehicle drivers in Australia.
        BMC Public Health. 2010; 10: 162-166
        • Apostolopoulos Y.
        • Sonmez S.
        • Shattell M.M.
        • Gonzales C.
        • Fehrenbacher C.
        Health survey of U.S. long-haul truck drivers: work environment, physical health, and healthcare access.
        Work. 2013; 46: 113-123
        • Whitfield-Jacobson P.J.
        • Prawitz A.D.
        • Lukaszuk J.M.
        Long-haul drivers want healthful meal options at truck-stop restaurants.
        J Am Diet Assoc. 2007; 107: 2125-2129
        • Poulter D.R.
        • Chapman P.
        • Bibby P.A.
        • Clarke D.D.
        • Crundall D.
        An application of the theory of planned behaviour to truck driving behaviour and compliance with regulations.
        Accid Anal Prev. 2008; 40: 2058-2064
        • Puhkala J.
        • Kukkonen-Harjula K.
        • Mansikkamaki K.
        Lifestyle counseling to reduce body weight and cardiometabolic risk factors among truck and bus drivers—a randomized controlled trial.
        Scand J Work Environ Health. 2015; 41: 54-64
        • 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
        • Luszczynska A.
        • Schwarzer R.
        Social-cognitive theory.
        in: Conner M. Norman P. Predicting Health Behaviours. 3rd ed. Oxford University Press, UK2015
        • Bandura A.
        Self-Efficacy: The Exercise of Control.
        Freeman, New York1997
        • King D.K.
        • Glasgow R.E.
        • Toobert D.J.
        • et al.
        Self-efficacy, problem solving, and social-environmental support are associated with diabetes self-management behaviors.
        Diabetes Care. 2010; 33: 751-753
        • 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
        • Lhakhang P.
        • Godinho C.
        • Knoll N.
        • Schwarzer R.
        A brief intervantion increases fruit and vegetable intake. a comparison of two intervention sequences.
        Appetite. 2014; 82: 103-110
        • Luszczynska A.
        • Tryburcy M.
        • Schwarzer R.
        Improving fruit and vegetable consumption: a self-efficacy intervention compared with a combined self-efficacy and planning intervention.
        Health Educ Res. 2007; 22: 630-638
        • Resnicow K.
        • Wallace D.C.
        • Jackson A.
        • et al.
        Dietary change through African American churches: baseline results and program description of the eat for life trial.
        J Cancer Educ. 2000; 15: 156-163
      1. Department of Transport and Main Roads. Getting a Heavy Vehicle Licence. 2014. Accessed September 21, 2014.

        • Hamilton K.
        • Cox S.
        • White K.M.
        Testing a model of physical activity among mothers and fathers of young children: integrating self-determined motivation, planning, and theory of planned behavior.
        J Sport Exerc Psychol. 2012; 34: 124-145
        • White K.M.
        • Starfelt L.C.
        • Young R.M.
        • Hawkes A.L.
        • Leske S.
        • Hamilton K.
        Predicting Australian adults’ sun-safe behaviour: examining the role of personal and social norms.
        Br J Health Psychol. 2015; 20: 396-412
        • Hamilton K.
        • Schmidt H.
        Drinking and swimming: investigating young Australian males’ intentions to engage in recreational swimming while under the influence of alcohol.
        J Commun Health. 2014; 39: 139-147
      2. Hayes AF. PROCESS: a versatile computational tool for observed variable mediation, moderation and conditional process modeling; 2012. Accessed December 15, 2014.

        • Enders C.K.
        Applied Missing Data Analysis.
        Guilford Press, New York2010
        • Arbuckle J.L.
        IBM SPSS Amos 21 User’s Guide.
        Amos Development Corporation, Crawfordville, FL2012
        • Godinho C.
        • Alvarez M.J.
        • Lima M.L.
        • Schwarzer R.
        Will is not enough: coping planning and action control as mediators in the prediction of fruit and vegetable intake.
        Br J Health Psychol. 2014; 19: 856-870
        • Williams D.M.
        Outcome expectancy and self-efficacy: theoretical implications of an unresolved contradiction.
        Pers Soc Psychol Rev. 2010; 14: 417-425
        • Williams D.M.
        • Anderson E.S.
        • Winett R.A.
        A review of the outcome expectancy construct in physical activity research.
        Annal Behav Med. 2005; 29: 70-79
        • Sheeshka J.D.
        • Woolcott D.M.
        • Mackinnon N.J.
        Social Cognitive Theory as a framework to explain intentions to practice healthy eating behaviors.
        J Appl Soc Psychol. 1993; 23: 1547-1573
        • Diep C.S.
        • Chen T.-A.
        • Davies V.F.
        • Baranowski J.C.
        • Baranowski T.
        Influence of behavioral theory on fruit and vegetable intervention effectiveness among children: a meta-analysis.
        J Nutr Educ Behav. 2014; 46: 506-546
        • Loftfield E.
        • Yi S.
        • Immerwahr S.
        • Eisenhower D.
        Construct validity of a single-item, self-rated question of diet quality.
        J Nutr Educ Behav. 2015; 47: 181-187
        • Cerin E.
        • Barnett A.
        • Baranowski T.
        Testing theories of dietary behavior change in youth using the mediating variable model with intervention programs.
        J Nutr Educ Behav. 2009; 41: 309-318
        • Kushida O.
        • Murayama N.
        Effects of environmental intervention in workplace cafeterias on vegetable consumption by male workers.
        J Nutr Educ Behav. 2014; 46: 350-358