Predicting Exercise and Health Behavioral Intentions: Attitudes, Subjective Norms, and Other Behavioral Determinants1 (original) (raw)
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Tracing How Normative Messages May Influence Physical Activity Intention
Journal of sport & exercise psychology, 2017
Normative messages have been shown to increase intention to do physical activity (PA). We traced how 'positive' and 'negative' normative messages influenced PA intention by comparing constructs of the model of goal-directed behaviour with descriptive norms (MGDB+DN) across control and treatment groups in an experiment. 16 to 24 year-old respondents (n=1200) in Bulgaria, Croatia and Romania were asked about their age, sex, and levels of PA before being exposed to positive and negative normative messages and completing a questionnaire with MGDB+DN scales. Different MGDB+DN constructs were influenced by the normative messages: compared to the control, the negative message group showed stronger attitudes (p=0.003) and the positive message group showed higher positive anticipated emotions (p=0.005). The positive message's effect is consistent with the literature on conformity to social norms. The negative message's effect lends itself to interpretations based on s...
Psychological reports, 2016
The theory of planned behavior (TPB) has received its fair share of criticism lately, including calls for it to retire. We contribute to improving the theory by testing extensions such as the model of goal-directed behavior (MGDB, which adds desire and anticipated positive and negative emotions) applied to physical activity (PA) intention. We also test the inclusion of a descriptive norms construct as an addition to the subjective norms construct, also applied to PA, resulting in two additional models: TPB including descriptive norms (TPB + DN) and MGDB including descriptive norms (MGDB + DN). The study is based on an online survey of 400 young adult Internet users, previously enrolled in a subject pool. Confirmatory factor analysis (CFA) showed that TPB and TPB + DN were not fit for purpose, while MGDB and MGDB + DN were. Structural equation modelling (SEM) conducted on MGDB and MGDB + DN showed that the inclusion of descriptive norms took over the significance of injunctive norms,...
Objectives: The purpose of this study was analysed differences between attitudes, subjective norms, and PBC between groups of individuals who do physical exercise and those who do not. Method: In order to investigate the different effects of attitudes, subjective norms, PBC on intention in both groups a structural equation modelling was employed. 886 subjects completed a questionnaire measuring the components of TPB model. The first group was formed by 332 people who did not practise and the second group was formed by 554 people who practised physical exercise. Results: Results confirmed differences between two groups of people in the prediction capacity of TPB model. In the first group, all variables explained 65% of the variance in intention. In the second group subjective norm and perceived behavioural control had a significant impact on intention and the three variables explained 67% of its variance. t Conclusions: Findings supported the important role of TPB in the context of p...
DO HEALTH BELIEFS PREDICT EXERCISE BEHAVIOR? EXPLORING THE CONSTRUCTS OF THE HEALTH BELIEF MODEL
European Journal of Physical Education and Sport Science , 2019
Objective: To determine if the tenets of the health belief model explain exercise behavior among residents of Kakamega county. Design: The study design was a cross-sectional analytical, that utilized quantitative methods. Setting: The study was conducted in Kakamega County, located in Western Kenya. Kakamega County has twelve sub-counties; Kakamega North (Malava), Kakamega Central (Lurambi), Kakamega South (Ikolomani), Kakamega East (Shinyalu) and Butere/Mumias. Sample: Simple random sampling was used to sample respondents. The formula that was used for calculating the sample size was Cochran with an attrition rate of 10% (n = 221). The sample consisted of participants from five sub-counties of Kakamega: Kakamega central (23.1%), Kakamega south (22.6%), Kakamega east (22.2%), Butere (17.5%) and Kakamega north (14.5%) Analysis: Data were analyzed through structural equation modeling (SEM). The alpha level for all the computations was considered significant at an α <0.05. Main outcome measures: Perceived susceptibility, modifying factors, perceived threat, perceived severity, cues to action and exercise behavior Results: The measurement model included six latent constructs measured by 22 indicator variables. All of the completely standardized parameter estimates obtained were significantly different from zero (t > 1.96) and loaded satisfactorily onto their corresponding latent variable. In the structural model, the estimation of this hypothesized structural model yielded an acceptable fit to the data, χ2 =1434.7, df = 680; χ2/df ratio =2.453(good), CFI = .822; RMSEA = .059, with 90% C.I. = .045 - .075, SRMR = .058. The perceived threat was a direct predictor of exercise behavior (β = .294, p < .001), the variable formed by perceived benefits minus perceived barriers was a direct predictor of exercise behavior (β = .017, p <.001). All variables explained 57% of the variance in exercise behavior.Conclusion: The health belief model provided useful insight in explaining exercise behavior of the respondents. Other theories should be investigated (e.g. Social Cognitive Theory, Health Action Process Approach) to determine which theory better explains behavior in the context and population of interest.
BMC public health, 2014
The study explores whether messages about the physical activity levels of the majority (i.e. normative messages) affect young adults' intention to engage in regular physical activity. An experimental survey among 16 to 24 year-olds in Bulgaria, Croatia and Romania (n = 1200) was conducted in March 2013. A control group received no message; one treatment group was told that the majority was physically active (positive message); and another treatment group was told that the majority was not physically active (negative message). Both the positive and (unexpectedly) the negative normative messages showed a significant and positive effect on intention to be physically active. There was no difference between the effects of the messages. Normative messages affect intention, which is encouraging for public health campaigns. The effect of the positive message confirms previous findings on conformity to the norm; the effect of the negative message is unexpected and requires further resear...
International Journal of Sport and Exercise Psychology
This study tested the Theory of Planned Behavior (TPB) in conjunction with two sets of variables from the Health Action Process Approach (HAPA) and the Subjective Exercise Experience Scale (SEE) to predict exercise behavior. This study included 454 participants who exercised in a fitness center. We collected measures of the TPB (attitudes, subjective norms, perceived behavioral control, and intention), HAPA (planning), and SEE (positive wellbeing, psychological distress, and fatigue) and assessed exercise behavior at a three-month follow-up. Structural equation modeling found partial support for the TPB model (explaining 10% of the variance in exercise behavior) and adequate fit indices for an adjusted model of the TPB that includes a positive well-being dimension (explaining 11% of the variance in exercise behavior). In sum, the original TPB partially predicts exercise behavior; when considered together with other predictors, limited evidence was found for its utility in explaining exercise behavior.
Exercise and Healthy Eating Intentions and Behaviors among Normal Weight and Overweight/Obese Adults
Psychology, 2016
Strong evidence suggests that exercise and eating behaviours are strongly linked. Theory of Planned Behaviour is a theoretical framework that has been successfully used to explain and predict both behaviours. The aim of the present study is to explore the constructs of Theory of Planned Behavior (TPB) that better predicts exercise and healthy eating: a) intentions and b) selfreported behaviors among normal weight and overweight/obese adults. Participants were 361 adults in Greece (women: N = 152). According to their BMI scores, they have been grouped into normal weight and overweight/obese. Data were collected with an online questionnaire assessing variables of the theory of planned behavior (TPB) toward exercise and healthy eating intentions and behaviors. Correlations between the variables of TPB and behaviors (healthy eating and exercise) were higher in the normal weight group than in the overweight/obese group. The strongest predictor of intention to exercise was perceived behavioral control for both groups with the overweight/obese group showing higher values in comparison to normal weight group values. The same associations emerged for the prediction of intention for healthy eating behavior. The attitude was also a statistically significant predictor for both groups with higher values in normal weight group. The strongest predictor of exercise behavior was the intention, whereas for eating behavior significant predictors were attitudes, intentions and perceived behavioral control. TPB framework explained both intentions and behaviors for exercise and healthy eating of normal weight and overweight/obese adults. Initial information on which TPB constructs explain better intentions and behaviors by group implied that normal weight group has more positive exercise and healthy eating attitudes and intentions than the overweight/obese group; the behaviors of the overweight/obese group were explained better by perceived behavioral control. The above information can be used to design more effective interventions that aim to produce changes in both behaviors. S. Psouni et al. 599
BMC Psychology, 2019
Background: Explicit attitudes as well as implicit attitudes have been shown to be associated with physical activity (PA). These two types of attitudes can, however, be discrepant towards the same object or behavior. This study investigated whether there is a discrepancy between explicit and implicit attitudes (IED) regarding physical activity (PA), and whether IED moderates the relationship between explicit attitude and PA, and explicit attitude and PA intention. Methods: At baseline (T0) and one (T1) and three months (T2) thereafter, students' (N = 340) PA levels, intention, explicit attitudes, further PA determinants, e.g. self-efficacy, were assessed. Implicit attitudes towards PA were assessed by means of a tailored Single-Category Implicit Association task. Results: IED was present but weak. Multiple hierarchical regressions revealed that IED did not moderate the relationship between explicit attitudes and PA or intention. Yet, IED was negatively associated with T0-PA and T1-PA. Conclusion: The study revealed the important insight that IED is detrimental for PA. Interventions targeting attitudes to increase PA, should ensure that implicit and explicit attitudes regarding PA are concordant.
The stability of the attitude-intention relationship in the context of physical activity
Journal of sports sciences, 2005
Attitude has been shown to be an important antecedent of physical activity intentions and behaviour. It is unclear whether the attitude-intention relationship is stable over time. The aim of the present study was to examine the stability of the attitude-intention relationship over a 6 week period. A panel study of 65 males and 81 females aged 20.6±0.8 years was conducted, in which measures of attitudes, intentions, self-reported physical activity and perceived behavioural control were assessed at the beginning and end of the 6 weeks. ...