Use of the Transtheoretical Model of Change to Successfully Predict Fruit and Vegetable Consumption

Duyn, Mary Ann S. Van; Heimendinger, Jerianne; Russek‐Cohen, Estelle; DlClemente, Carlo C.; Sims, Laura S.; Subar, Amy F.; Krebs‐Smith, Susan M.; Pivonka, Elizabeth; Kahle, Lisa

doi:10.1016/s0022-3182(98)70359-0

Cited by 40 publications

(34 citation statements)

References 35 publications

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“…Previous research on self-determined stages of change for fruit and vegetable consumption has found that those in the higher stages tend to eat more fruits, vegetables and grains than those in lower stages (Van Duyn et al, 1998Greene et al, 2003). In the current study, there were strong differences between stages of change categories and frequency of consumption of a variety of foods of plant and animal origin, despite the subjectivity and complexity of the definition of plant-based diet provided.…”

Section: Discussioncontrasting

confidence: 48%

“…The absence of sex differences between stages of change groups is noteworthy, as previous research has found that women tend to be more health conscious and more likely to be a low meat consumer than are men (Rappoport et al, 1993;Australian Bureau of Statistics, 1997;Fagerli and Wandel, 1999;Kearney et al, 2000;Lea and Worsley, 2004). In addition, a study on stages of change for fruit and vegetables found that those in maintenance were more likely to be women (Van Duyn et al, 1998). Women in the current study did eat significantly less red meat and more fruit and vegetables than did men (data not reported here).…”

Section: Discussioncontrasting

confidence: 44%

“…Previous research has shown that demographic variables such as sex and age are related to health care and food beliefs and behaviours (Van Duyn et al, 1998;Fraser et al, 2000;Kearney et al, 2000;Wardle and Steptoe, 2003;Worsley et al, 2003;Lea and Worsley, 2004). For example, females, older people and those with a higher level of education are more likely to attempt to eat more healthily (Kearney et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

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Consumers' readiness to eat a plant-based diet

2005

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Objective: The aim of this study was to examine consumers' readiness to change to a plant-based diet. Design: Mail survey that included questions on readiness to change, eating habits and perceived benefits and barriers to the consumption of a plant-based diet. Setting: Victoria, Australia. Subjects: A total of 415 randomly selected adults. Results: In terms of their readiness to eat a plant-based diet, the majority (58%) of participants were in the precontemplation stage of change, while 14% were in contemplation/preparation, and 28% in action/maintenance. Those in the action/ maintenance stage ate more fruit, vegetables, nuts, seeds, whole-meal bread, and cooked cereals than those in earlier stages. There were statistically significant differences in age and vegetarian status between the stages of change, but not for other demographic variables. There were strong differences across the stages of change with regard to perceived benefits and barriers to plant-based diets. For example, those in action/maintenance scored highest for benefit factors associated with well-being, weight, health, convenience and finances, whereas those in the precontemplation stage did not recognise such benefits. Conclusions: These findings can be utilised to help provide appropriate nutrition education and advertising, targeted at specific stages of change. For example, education about how it is possible to obtain iron and protein from a plant-based diet and on the benefits of change, in addition to tips on how to make a gradual, easy transition to a plant-based diet, could help progress precontemplators to later stages.

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Section: Discussioncontrasting

confidence: 48%

Section: Discussioncontrasting

confidence: 44%

Section: Introductionmentioning

confidence: 99%

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Consumers' readiness to eat a plant-based diet

2005

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“…In two similar studies, 65 and 66 percent of people were in active stages. [15,16] In other studies, people in active stages were more than in the present study. [12,[17][18][19] It seems that lower education and higher household members are important factors in distribution of people across stages of change for fruit and vegetable consumption in this study.…”

Section: Discussioncontrasting

confidence: 40%

Processes of Change Associated With the Fruit and Vegetable Consumption Across Stages of Change in Women- Application of Transtheoretical Model

Khezeli¹,

Ramezankhani²,

Aghaei³

et al. 2017

jemds

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BACKGROUNDConsumption of fruits and vegetables is associated with the reduction of many chronic diseases. Transtheoretical model is one of the most common models used for studies on nutrition. The objective of this study is to evaluate the processes of change across stages of change for fruits and vegetables consumption. MATERIALS AND METHODS600 literate women of Gilan-e-Gharb city (a west part of Iran) who were selected by random sampling method participated in this cross-sectional study. Data gathering tools was a questionnaire that consisted of 30 questions which included demographic (n= 5), stages of change (n= 5) and processes of change (n= 20) as well as 24 hours recall questionnaire for fruits and vegetables consumption. We assessed the internal consistency questions using Cronbach's Alpha and validity by S-CVI. Statistical analysis used: Data were analysed by SPSS 19 using the T-test, ANOVA and Chi-square. RESULTSThe majority of subjects (89.5%) belonged to the passive stages of change (pre-contemplation, contemplation and preparation) and only 10.5 percent were in active stages (action and maintenance). Average daily consumption of fruits and vegetables was 3.4 ± 0.96 servings, which was lowest in pre-contemplators and increased until the maintenance stage (p < .001). Mean score of cognitive and behavioural processes were higher in maintenance stage and lower in pre-contemplation stage. CONCLUSIONGiven the important role of the cognitive and behavioural processes in promoting people from passive stages to active stages of change, we suggest implementation of these processes by using appropriate strategies in educational intervention for promoting consumption of fruits and vegetables. KEYWORDS

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“…Over the past few years, several research papers have examined the crosssectional relationship between the stages of change for fruit and vegetable intake and other related variables [26][27][28][29][30][31].…”

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confidence: 99%