Using national survey data incorporating the theory of planned behavior: Implications for social marketing strategies in physical activity

Abstract

This paper illustratesthe potential use of the Theory of Planned Behavior (TPB) as a guiding fiamework for the conduct of population based survey research to develop strategies to promote physical activity involvement in various market segments. The Campbell's Survey of Well-Being (1988), a nation-Wide representative study of the Canadian population incorporated a modified operationali- zation of the TPB Pertainingto intended involvement in regularphysical activity. The theory was found to be generally effitive in munting for intentions in the general population (Rz= .32)as well as in various age and gender subgroups. Whereas, neither the model's direct predictors of intentions (e.g., attitudes, sub jective normdsocial support, perceived behavioral control) nor the indirect predictors (e.g., the beliefs underlying these predictors) varied consistently across gender, a number of age-related differenceswere observed. These differencesare used to exemplify how population-based data utilizing the TPB can be utilized to develop promotional and programming implications for fostering greater physical activity involvement in various ag-ender market segments.     

Psychosocial mediators of group cohesion on physical activity intention of older adults

Considerable evidence has indicated that group-based physical activity may be a promising approach to reducing and preventing age-related illness. However, this research has not examined the mechanisms by which cohesion may impact on behaviour. The purpose of the present research was to utilise the theory of planned behaviour to investigate the mechanism by which group cohesion may affect physical activity intention. Participants were recruited from an existing physical activity intervention studying the effects of group cohesion on physical activity behaviour. The outcomes of this intervention are reported elsewhere. This paper presents data from a sub-sample of the intervention population (N=74) that examined the mediating relationships between the theory of planned behaviour and group cohesion on physical activity intention. Analyses showed that attitude and perceived behavioural control mediated the relationship between specific group cohesion concepts and physical activity intention. The direct measure of subjective norm failed to display a mediating relationship. The mediating relationships displayed between attitude and perceived behavioural control and physical activity intention provide insight into potential mechanisms by which group cohesion may affect behaviour.     

A pilot study on the motivational effects of an internet-delivered physical activity behaviour change programme in Nova Scotian cancer survivors

Objective: To examine the effects of an internet-delivered, distance-based physical activity (PA) behaviour change programme on motivation to perform PA in cancer survivors.

Design: Breast, prostate and colorectal cancer survivors (N = 95) were randomized to either an online Theory of Planned Behaviour (TPB)-based PA behaviour change programme (UCAN) or usual care.

Main Outcome Measures: Motivational variables from the TPB including intention, planning, attitude, subjective norm, perceived behavioural control and underlying beliefs.

Results: UCAN had significant negative effects on self-efficacy (?.7; 95% CI = ?1.2 to ?.1; d = ?.53, p = .019), affective attitude (?.4; 95% CI = ?.8 to ?.0; d = ?.45, p = .044), instrumental attitude (?.5; 95% CI = ?.9 to ?.1; d = ?.43, p = .026) and confidence to perform PA in bad weather (?.8; 95% CI = ?1.6 to ?.1; d = ?.49, p = .030), despite health issues (?.7; 95% CI = ?1.3 to ?.1; d = ?.48, p = .031), despite pain/soreness (?.7; 95% CI = ?1.4 to ?.1; d = ?.52, p = .020), despite family responsibilities (?1.0; 95% CI = ?1.7 to ?.3; d = ?.62, p = .005) and when PA is boring (?.8; 95% CI = ?1.4 to ?.1; d = ?.54, p = .016).

Conclusion: UCAN had negative effects on motivational variables in cancer survivors. These findings may be explained by methodological issues related to measuring motivation and/or the absence of post-intentional constructs.     

Mediating relationship between body mass index and the direct measures of the Theory of Planned Behaviour on physical activity intention

This research examines (a) the interrelationships between body mass index (BMI), the direct measures of the Theory of Planned Behaviour (TPB) and physical activity intention and (b) the potential mediation effects of the direct measures of the TPB in the relationship between BMI and physical activity intention in a sample of Australian adults. A total sample of 1,062 respondents participated in a computer-assisted telephone-interview (CATI) survey comprised of a standardised introduction; questions regarding TPB and physical activity; and standard demographic questions. BMI for each participant was calculated from self-reported height and weight. Separate regression analyses were performed to examine the mediating effects of each of the direct measures of the TPB on the predictive relationship between the BMI and physical activity intention, as proposed by Baron and Kenny (Journal of Personality and Social Psychology, 51(6), 1173 - 1182, 1986). Findings indicated that the direct measure of attitude and perceived behavioural control mediated the relationship between BMI and physical activity intention. However, the direct measure of subjective norm failed to act as a mediating mechanism. To date there has been no research that has examined the mechanism by which body mass may affect physical activity behaviour. Given the current focus for health promotion specialists on promoting physical activity as a strategy for reducing overweight and obesity, a theoretical understanding of weight-related barriers to physical activity may aid in the development of future interventions and community physical activity programs, particularly those targeting overweight and obese populations.     

A comparison of health behaviours in lonely and non-lonely populations

Loneliness can be defined as perceived social isolation and appears to be a relatively common experience in adults. It carries a significant health risk and has been associated with heart disease, depression and poor recovery after coronary heart surgery. The mechanisms that link loneliness and morbidity are unclear but one of the mechanisms may be through poor health beliefs and behaviours. The aims of this cross-sectional survey of 1289 adults were to investigate differences in health behaviours (smoking, overweight, BMI, sedentary, attitudes towards physical activity) in lonely and non-lonely groups. Lonely individuals were more likely to be smokers and more likely to be overweight - obese. The lonely group had higher body mass index scores controlling for age, annual income, gender, employment and marital status. Logistic regression revealed no differences in sedentary lifestyles. Lonely individuals were significantly less likely to believe it was desirable for them to lose weight by walking for recreation, leisure or transportation. The findings provide support for an association between health behaviours, loneliness and excess morbidity reported in previous studies.     

Associations between social capital and health status in an Australian population

This study investigated the association between social capital and health related quality of life in a sample of Australian adults. Information was collected from a sample of adults in Queensland, Australia relating to health status, health related quality of life and related social determinants of health by computer-assisted-telephone-interview survey. Significant associations were observed between social capital and physical health when adjusting for selected demographic measures. No significant association was observed between social capital and mental health. The research produced equivocal results regarding the associations between social capital and the selected measures of health-related quality of life. Evidence is presented in support of the association between social capital and physical health status, whereas no associations were observed between mental health status and social capital. The role and relationship between health and social capital remains elusive. More work is required to clearly support social capital's role in physical and mental health and well-being.