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BMC Public Health
Published in: BMC Public Health 1/2014

Open Access 01-12-2014 | Research article

Predicting fruit consumption: the role of habits, previous behavior and mediation effects

Authors: Hein de Vries, Sander M Eggers, Lilian Lechner, Liesbeth van Osch, Maartje M van Stralen

Published in: BMC Public Health | Issue 1/2014

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Abstract

Background

This study assessed the role of habits and previous behavior in predicting fruit consumption as well as their additional predictive contribution besides socio-demographic and motivational factors. In the literature, habits are proposed as a stable construct that needs to be controlled for in longitudinal analyses that predict behavior. The aim of this study is to provide empirical evidence for the inclusion of either previous behavior or habits.

Methods

A random sample of 806 Dutch adults (>18 years) was invited by an online survey panel of a private research company to participate in an online study on fruit consumption. A longitudinal design (N = 574) was used with assessments at baseline and after one (T2) and two months (T3). Multivariate linear regression analysis was used to assess the differential value of habit and previous behavior in the prediction of fruit consumption.

Results

Eighty percent of habit strength could be explained by habit strength one month earlier, and 64% of fruit consumption could be explained by fruit consumption one month earlier. Regression analyses revealed that the model with motivational constructs explained 41% of the behavioral variance at T2 and 38% at T3. The addition of previous behavior and habit increased the explained variance up to 66% at T2 and to 59% at T3. Inclusion of these factors resulted in non-significant contributions of the motivational constructs. Furthermore, our findings showed that the effect of habit strength on future behavior was to a large extent mediated by previous behavior.

Conclusions

Both habit and previous behavior are important as predictors of future behavior, and as educational objectives for behavior change programs. Our results revealed less stability for the constructs over time than expected. Habit strength was to a large extent mediated by previous behavior and our results do not strongly suggest a need for the inclusion of both constructs. Future research needs to assess the conditions that determine direct influences of both previous behavior and habit, since these influences may differ per type of health behavior, per context stability in which the behavior is performed, and per time frame used for predicting future behavior.
Appendix
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Literature
1.
Paolini M, Sapone A, Canistro D, Antonelli MA, Chieco P: Diet and risk of cancer. Lancet. 2003, 361 (9353): 257-258. 10.1016/S0140-6736(03)12286-6.CrossRefPubMed
2.
Key TJ, Allen NE, Spencer EA, Travis RC: The effect of diet on risk of cancer. Lancet. 2002, 360 (9336): 861-868. 10.1016/S0140-6736(02)09958-0.CrossRefPubMed
3.
van Rossum CTM, Fransen HP, Verkaik-Kloosterman J, Buurma-Rethans EJM, Ocké MC: Dutch National Food Consumption Survey 2007–2010: Diet of children and adults aged 7 to 69 years. 2011, RIVM report 350050006: National Institute for Public Health and the Environment: Ministry of Health, Welfare and Sport
4.
Orbell S, Verplanken B: The automatic component of habit in health behavior: habit as cue-contingent automaticity. Health Psychol. 2010, 29 (4): 374-383.CrossRefPubMed
5.
Ouellette JA, Wood W: Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychol Bull. 1998, 124 (1): 54-74.CrossRef
6.
Webb TL, Sheeran P: Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychol Bull. 2006, 132 (2): 249-268.CrossRefPubMed
7.
Aarts H, Verplanken B, van Knippenberg A: Predicting behavior from actions in the past: Repeated decision making or a matter of habit?. J Appl Soc Psychol. 1998, 28 (15): 1355-1374. 10.1111/j.1559-1816.1998.tb01681.x.CrossRef
8.
Gardner B, de Bruijn GJ, Lally P: A systematic review and meta-analysis of applications of the Self-Report Habit Index to nutrition and physical activity behaviours. Ann Behav Med. 2011, 42 (2): 174-187. 10.1007/s12160-011-9282-0.CrossRefPubMed
9.
Verplanken B, Aarts H, van Knippenberg A, Moonen A: Habit versus planned behaviour: a field experiment. Br J Soc Psychol. 1998, 37 (Pt 1): 111-128.CrossRefPubMed
10.
de Bruijn GJ: Understanding college students’ fruit consumption. Integrating habit strength in the theory of planned behaviour. Appetite. 2010, 54 (1): 16-22. 10.1016/j.appet.2009.08.007.CrossRefPubMed
11.
de Bruijn GJ, Kremers SPJ, De Vet E, De Nooijer J, Van Mechelen W, Brug J: Does habit strength moderate the intention-behaviour relationship in the theory of planned behaviour? The case of fruit consumption. Psychol Health. 2007, 22 (8): 899-916. 10.1080/14768320601176113.CrossRef
12.
Reinaerts E, de Nooijer J, Candel M, de Vries N: Explaining school children’s fruit and vegetable consumption: the contributions of availability, accessibility, exposure, parental consumption and habit in addition to psychosocial factors. Appetite. 2007, 48 (2): 248-258. 10.1016/j.appet.2006.09.007.CrossRefPubMed
13.
Riet JV, Sijtsema SJ, Dagevos H, De Bruijn GJ: The importance of habits in eating behaviour. An overview and recommendations for future research. Appetite. 2011, 57 (3): 585-596. 10.1016/j.appet.2011.07.010.CrossRef
14.
Brug J, van Lenthe FJ, Kremers SP: Revisiting Kurt Lewin: how to gain insight into environmental correlates of obesogenic behaviors. Am J Prev Med. 2006, 31 (6): 525-529. 10.1016/j.amepre.2006.08.016.CrossRefPubMed
15.
de Vries H, Backbier E, Kok G, Dijkstra M: The impact of social influences in the context of attitude, self-efficacy, intention, and previous behavior as predictors of smoking onset. J Appl Soc Psychol. 1995, 25 (3): 237-257. 10.1111/j.1559-1816.1995.tb01593.x.CrossRef
16.
Lechner L, de Vries H, Offermans N: Participation in a breast cancer screening program: influence of past behavior and determinants on future screening participation. Prev Med. 1997, 26 (4): 473-482. 10.1006/pmed.1997.0161.CrossRefPubMed
17.
Verplanken B, Orbell S: Reflections on past behavior: a self-report index of habit strength. J Appl Soc Psychol. 2003, 33 (6): 1313-1330. 10.1111/j.1559-1816.2003.tb01951.x.CrossRef
18.
Hagger MS, Chatzisarantis N, Biddle SJ: The influence of self-efficacy and past behaviour on the physical activity intentions of young people. J Sports Sci. 2001, 19 (9): 711-725. 10.1080/02640410152475847.CrossRefPubMed
19.
Jackson C, Smith RA, Conner M: Applying an extended version of the theory of planned behaviour to physical activity. J Sports Sci. 2003, 21 (2): 119-133. 10.1080/0264041031000070976.CrossRefPubMed
20.
Verplanken B, Melkevik O: Predicting habit: The case of physical exercise. Psychol Sport Exerc. 2008, 9 (1): 15-10.1016/j.psychsport.2007.01.002.CrossRef
21.
Ajzen I: The theory of planned behavior. Organ Behav Hum Decis Process. 1991, 50: 179-211. 10.1016/0749-5978(91)90020-T.CrossRef
22.
Fishbein M, Ajzen I: Prediction and Change of Behavior: The Reasoned Action Approach. 2010, New York: Psychology Press
23.
Ajzen I: Residual effects of past on later behavior: Habituation and reasoned action perspectives. Pers Soc Psychol Rev. 2002, 6 (2): 107-122. 10.1207/S15327957PSPR0602_02.CrossRef
24.
Bandura A: Social Foundations of Thought and Action. 1986, NJ: Englewood Cliffs
25.
Conner M, Abraham C: Conscientiousness and the theory of planned behavior: toward a more complete model of the antecedents of intentions and behavior. Pers Soc Psychol Bull. 2001, 27 (11): 1547-10.1177/01461672012711014.CrossRef
26.
de Bruijn GJ, Kremers SP, Lensvelt-Mulders G, de Vries H, van Mechelen W, Brug J: Modeling individual and physical environmental factors with adolescent physical activity. Am J Prev Med. 2006, 30 (6): 507-512. 10.1016/j.amepre.2006.03.001.CrossRefPubMed
27.
Norman P, Smith L: The theory of planned behaviour and exercise: An investigation into the role of prior behaviour, behavioural intentions and attitude variability. Eur J Soc Psychol. 1995, 12 (4): 403-415.CrossRef
28.
Rhodes RE, Courneya KS, Jones LW: Translating exercise intentions into behavior: personality and social cognitive correlates. J Health Psychol. 2003, 8 (4): 447-458. 10.1177/13591053030084004.CrossRefPubMed
29.
Rhodes RE, Courneya KS: Modelling the theory of planned behaviour and past behaviour. Psychol Health Med. 2003, 8 (1): 57-69. 10.1080/1354850021000059269.CrossRefPubMed
30.
Verplanken B: Beyond frequency: habit as mental construct. Br J Soc Psychol. 2006, 45 (Pt 3): 639-656.CrossRefPubMed
31.
van Osch L, Beenackers M, Reubsaet A, Lechner L, Candel M, de Vries H: Action planning as predictor of health protective and health risk behavior: an investigation of fruit and snack consumption. Int J Behav Nutr Phys Act. 2009, 6: 69-10.1186/1479-5868-6-69.CrossRefPubMedPubMedCentral
32.
33.
34.
de Vries H, Kremers SP, Smeets T, Brug J, Eijmael K: The effectiveness of tailored feedback and action plans in an intervention addressing multiple health behaviors. Am J Health Promot. 2008, 22 (6): 417-425. 10.4278/ajhp.22.6.417.CrossRefPubMed
35.
Haustein S, Klöckner CA, Blöbaum A: Car use of young adults: The role of travel socialization. Transp Res. 2009, 12: 168-178.
36.
van den Brink CL, Ocke MC, Houben AW, van Nierop P, Droomers M: Validering van standaardvraagstelling voeding voor Lokale en Nationale Monitor Volksgezondheid. 2005, Bilthoven: RIVM
37.
O’brien RM: A caution regarding rules of thumb for variance inflation factors. Qual Quant. 2007, 41 (5): 673-690. 10.1007/s11135-006-9018-6.CrossRef
38.
MacKinnon DP: Introduction to Statistical Mediation Analysis. 2008, New York: Erlbaum and Taylor Francis Group
39.
Preacher KJ, Hayes AF: SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput. 2004, 36 (4): 717-731. 10.3758/BF03206553.CrossRefPubMed
40.
Meng XL, Rosenthal R, Rubin DB: Comparing correlated correlation coefficients. Psychol Bull. 1992, 111 (1): 172-175.CrossRef
41.
Eagly AH, Chaiken S: The Psychology of Attitudes. 1993, Orlando, FL: Harcourt Brace Jovanovich College Publishers, 1
42.
Conner M, Armitage CJ: Extending the theory of planned behavior: A review and avenues for further research. J Appl Soc Psychol. 1998, 28 (15): 1429-1464. 10.1111/j.1559-1816.1998.tb01685.x.CrossRef
43.
Norman P, Conner M, Bell R: The theory of planned behaviour and exercise: Evidence for the moderating role of past behaviour. Br J Health Psychol. 2000, 5: 249-261. 10.1348/135910700168892.CrossRef
44.
Armitage CJ, Conner M: Efficacy of the Theory of Planned Behaviour: a meta-analytic review. Br J Soc Psychol. 2001, 40 (Pt 4): 471-499.CrossRefPubMed
45.
Godin G, Kok G: The theory of planned behavior: A review of its applications to health-related behaviors. Am J Health Promot. 1996, 11 (2): 87-98. 10.4278/0890-1171-11.2.87.CrossRefPubMed
46.
Perugini M, Bagozzi RP: The distinction between desires and intentions. Eur J Soc Psychol. 2004, 34 (1): 69-84. 10.1002/ejsp.186.CrossRef
47.
Godin G, Amireault S, Belanger-Gravel A, Vohl M-C, Perusse L, Guillaumie L: Prediction of daily fruit and vegetable consumption among overweight and obese individuals. Appetite. 2010, 54 (3): 480-484. 10.1016/j.appet.2010.01.018.CrossRefPubMed
48.
Knussen C, Yule F, MacKenzie J, Wells M: An analysis of intentions to recycle household waste: The roles of past behaviour, perceived habit, and perceived lack of facilities. J Environ Psychol. 2004, 24 (2): 237-246. 10.1016/j.jenvp.2003.12.001.CrossRef
49.
Kremers SP, van der Horst K, Brug J: Adolescent screen-viewing behaviour is associated with consumption of sugar-sweetened beverages: the role of habit strength and perceived parental norms. Appetite. 2007, 48 (3): 345-350. 10.1016/j.appet.2006.10.002.CrossRefPubMed
50.
Festinger L: A Theory of Cognitive Dissonance, Volume 2. 1962, Redwood City, CA: Stanford University Press
51.
Bamberg S, Ajzen I, Schmidt P: Choice of travel mode in the theory of planned behavior: the roles of past behavior, habit, and reasoned action. Basic Appl Soc Psych. 2003, 25: 175-187. 10.1207/S15324834BASP2503_01.CrossRef
52.
Gardner B, Abraham C, Lally P, de Bruijn G-J: Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the Self-Report Habit Index. Int J Behav Nutr Phys Act. 2012, 9 (1): 102-10.1186/1479-5868-9-102.CrossRefPubMedPubMedCentral
53.
Ajzen I: Martin Fishbein’s Legacy the Reasoned Action Approach. Ann Am Acad Polit Soc Sci. 2012, 640 (1): 11-27. 10.1177/0002716211423363.CrossRef
54.
Trafimow D, Sheeran P, Conner M, Finlay KA: Evidence that perceived behavioural control is a multidimensional construct: Perceived control and perceived difficulty. Br J Soc Psychol. 2002, 41 (1): 101-121. 10.1348/014466602165081.CrossRefPubMed
55.
Manstead AS, Eekelen SA: Distinguishing between perceived behavioral control and self‒efficacy in the domain of academic achievement intentions and behaviors. J Appl Soc Psychol. 1998, 28 (15): 1375-1392. 10.1111/j.1559-1816.1998.tb01682.x.CrossRef
56.
Terry DJ, O’Leary JE: The theory of planned behaviour: The effects of perceived behavioural control and self‒efficacy. Br J Soc Psychol. 1995, 34 (2): 199-220. 10.1111/j.2044-8309.1995.tb01058.x.CrossRefPubMed
57.
White KM, Terry DJ, Hogg MA: Safer sex behavior: The role of attitudes, norms, and control factors. J Appl Soc Psychol. 1994, 24 (24): 2164-2192. 10.1111/j.1559-1816.1994.tb02378.x.CrossRef
58.
de Vries H, Dijkstra M, Kuhlman P: Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioural intentions. Health Educ Res. 1988, 3 (3): 273-282. 10.1093/her/3.3.273.CrossRef
59.
Triandis HC: Interpersonal Behavior. 1977, CA: Brooks/Cole Publishing Company Monterey
60.
Verplanken B, Wood W: Interventions to break and create consumer habits. J Public Policy Mark. 2006, 25 (1): 90-103. 10.1509/jppm.25.1.90.CrossRef
61.
Lally P, Gardner B: Promoting habit formation. Health Psychol Review. 2013, 7 ((sup1): S137-S158.CrossRef
62.
Rothman AJ, Sheeran P, Wood W: Reflective and automatic processes in the initiation and maintenance of dietary change. Ann Behav Med. 2009, 38 (1): 4-17. 10.1007/s12160-009-9130-7.CrossRef
63.
Sutton S: The Past Predicts the Future: Interpreting Behaviour-Behaviour Relationships in Social Psychological Models of Health Behaviour. Social Psychology and Health: European Perspectives Edn. Edited by: Rutter DR, Quine L. 1994, Aldershot: Avebury, 71-88.
64.
de Bruijn GJ, van den Putte B: Adolescent soft drink consumption, television viewing and habit strength. Investigating clustering effects in the Theory of Planned Behaviour. Appetite. 2009, 53 (1): 66-75. 10.1016/j.appet.2009.05.008.CrossRefPubMed
65.
Brug J, de Vet E, de Nooijer J, Verplanken B: Predicting fruit consumption: cognitions, intention, and habits. J Nutr Educ Behav. 2006, 38 (2): 73-81. 10.1016/j.jneb.2005.11.027.CrossRefPubMed
66.
Verplanken B, Faes S: Good intentions, bad habits, and effects of forming implementation intentions on healthy eating. Eur J Soc Psychol. 1999, 29 (5–6): 591-604.CrossRef
67.
de Ridder D, de Wit J, Adriaanse MA: Making plans for healthy diet: The role of motivation and action orientation. Eur J Soc Psychol. 2009, 39 (4): 622-630. 10.1002/ejsp.560.CrossRef
68.
Macrae CN, Johnston L: Help, I need somebody: Automatic action and inaction. Soc Cogn. 1998, 16 (4): 400-417. 10.1521/soco.1998.16.4.400.CrossRef
69.
Hardeman W, Johnston M, Johnston DW, Bonetti D, Wareham NJ, Kinmonth AL: Application of the Theory of Planned Behaviour in behaviour change interventions: A systematic review. Psychol Health. 2002, 17 (2): 123-158. 10.1080/08870440290013644a.CrossRef
70.
Wood W, Neal DT: The habitual consumer. J Consum Psychol. 2009, 19: 579-592. 10.1016/j.jcps.2009.08.003.CrossRef
71.
Adriaanse MA, Gollwitzer PM, De Ridder DTD, de Wit JBF, Kroese FM: Breaking habits with implementation intentions: a test of underlying processes. Pers Soc Psychol Bull. 2011, 37 (4): 502-513. 10.1177/0146167211399102.CrossRefPubMed
72.
Wood W, Witt MG, Tam L: Changing circumstances, disrupting habits. J Pers Soc Psychol. 2005, 88 (6): 918-933.CrossRefPubMed
Metadata
Title
Predicting fruit consumption: the role of habits, previous behavior and mediation effects
Authors
Hein de Vries
Sander M Eggers
Lilian Lechner
Liesbeth van Osch
Maartje M van Stralen
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2014
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/1471-2458-14-730

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