Physical activity automaticity, intention, and trait self-control as predictors of physical activity behavior – a dual-process perspective

Evaluating the utility of temporal self-regulation theory for understanding physical activity outcomes in a behavioral weight loss maintenance program

OBJECTIVE

Physical activity (PA) is critical for weight loss maintenance (WLM) success. Clarifying mechanisms behind PA engagement may suggest new WLM intervention targets. This study examined an application of temporal self-regulation theory (TST) to enhance our understanding of PA during WLM.

METHODS AND MEASURES

Participants (n = 214) who achieved a ≥ 5% weight loss during a 4-month weight loss intervention were recruited into an 18-month WLM trial. TST constructs (i.e. PA beliefs, intention, behavioral prepotency, self-regulatory capacity) were measured via self-report measures. PA was subsequently assessed over a 7-day period with waist-worn Actigraph GT9X. Robust linear regression models and generalized linear mixed models tested the association between PA beliefs and intention, and the associations between intention, behavioral prepotency, self-regulatory capacity and device-measured PA at baseline and 18-months.

RESULTS

Short-term positive beliefs were associated with intention at baseline and 18-months, whereas short-term negative beliefs were associated with intention at 18-months only. Intention was associated with moderate/vigorous PA (MVPA) minutes and bouted MVPA at baseline and 18-months. The intention by self-regulatory capacity interaction was significant at baseline.

CONCLUSION

Findings lend some support for the use of TST for understanding PA and suggest that short-term beliefs about PA may represent a meaningful target for intervention.

The contribution and interplay of implicit and explicit processes on physical activity behavior: empirical testing of the physical activity adoption and maintenance (PAAM) model

The adoption and maintenance of physical activity (PA) is an important health behavior. This paper presents the first comprehensive empirical test of the Physical Activity Adoption and Maintenance (PAAM) model, which proposes that a combination of explicit (e.g., intention) and implicit (e.g., habit,, affect) self-regulatory processes is involved in PA adoption and maintenance. Data were collected via online questionnaires in English, German, and Italian at two measurement points four weeks apart. The study included 422 participants (Mage= 25.3, SDage= 10.1; 74.2% women) from Germany, Switzerland, Italy, Canada, and the U.S. The study results largely supported the assumptions of the PAAM model, indicating that intentions and habits significantly mediate the effects of past PA on future PA. In addition, the effect of past PA on future PA was shown to be significant through a mediation chain involving affect and habit. Although the hypothesis that trait self-regulation moderates the intention-behavior relationship was not supported, a significant moderating effect of affect on the same relationship was observed. The results suggest that interventions targeting both explicit and implicit processes may be effective in promoting PA adoption and maintenance.

Twenty-four hour physical activity, sedentary behaviour and sleep profiles in adults living with rheumatoid arthritis: a cross-sectional latent class analysis

BACKGROUND

Rheumatoid Arthritis (RA), an autoimmune systemic inflammatory disease, affects more than 17 million people globally. People with RA have higher risk of premature mortality; often experience chronic fatigue, pain and disrupted sleep; and are less physically active and more sedentary than healthy counterparts. It remains unclear how people with RA may balance sleep and awake movement activities over 24-hours, or how differences in 24-hour behaviours may be associated with determinants of health, or alignment with published activity guidelines.

METHODS

Cross-sectional exploration of objective measures of 24-hour sleep-wake activities in 203 people with RA. Latent Class Analysis (LCA) derived classes from time, by tertile, in six sleep-awake activities over 24 h. Comparisons of model fit statistics, class separation and interpretability defined best fit for number of classes. Variations in sleep-awake behaviour across classes and association of profile allocation with determinants of health, quality metrics for sleep, sitting and walking and alignment with published guidelines were explored. Multinomial logistic regression identified factors associated with likelihood of profile allocation.

RESULTS

LCA identified 2 to 6 classes and a 4-class model was determined as best fit for 24-hour sleep-awake behaviour profiles. One profile (26%) presented with more balanced 24-hour sleep, sitting and walking behaviours. The other three profiles demonstrated progressively less balanced 24-hour behaviours including: having low (< 7 h), high (> 8 h), or recommended (7-8 h) sleep duration in respective combination with high sitting (> 10 h), limited walking (< 3 h) or both when awake. Age, existing sitting and walking habit strength and fatigue were associated with likelihood of belonging to different profiles. More balanced 24-hour behaviour was aligned with better quality metrics for sleep, sitting and walking and published guidelines.

DISCUSSION

For people living with RA it is important to understand the 'whole person' and their 'whole day' to define who may benefit from support to modify 24-hour sleep-awake behaviours and which behaviours to modify. Supports should be informed by an understanding of personal or health-related factors that could act as barriers or facilitators for behavioural change, including exploring existing habitual sitting and walking behaviours.

TRIAL REGISTRATIONS

ClinicalTrials.gov ID: NCT02554474 (2015-09-16) and ClinicalTrials.gov ID: NCT03404245 (2018-01-11).

Predicting sugar intake using an extended theory of planned behavior in a sample of adolescents: The role of habit and self-control

INTRODUCTION

High levels of sugar intake are associated with multiple maladaptive health outcomes in adult and younger populations. Identifying the psychological determinants of sugar intake in adolescents, and the processes involved, may help identify potentially modifiable targets and inform intervention development. We tested the predictions of an extended theoretical model based on the theory of planned behavior (TPB), which specified social cognition constructs, habit, and self-control as correlates of sugar intake in an adolescent sample.

METHODS

Adolescents aged 12 to 14 years (N = 88) recruited via a survey panel company and consenting to participate in the study completed online self-report measures of constructs from the TPB alongside measures of habit and self-control. One month later, participants completed a follow-up measure of free-sugar intake. Hypothesized effects of our proposed extended model were tested using partial least squares structural equation modeling.

RESULTS

We found statistically significant effects of attitude, subjective norm, and perceived behavioral control on sugar intake intentions. We also found significant effects of habit and self-control on sugar intake measured at follow-up, but no effect for intention. Perceived behavioral control moderated the intention-behavior relationship such that intention effects on behavior were larger when perceived behavioral control was high. However, self-control did not moderate the intention-behavior relationship.

CONCLUSION

Results indicate that sugar intake in this sample was a function of habits and self-control, and the effect of sugar intake intentions was conditional on perceived behavioral control. Results contribute to an evidence base of determinants and associated processes that relate to sugar intake in adolescents and may signal potentially modifiable targets for intervention.

Combining rationality with morality - integrating theory of planned behavior with norm activation theory to explain compliance with COVID-19 prevention guidelines

As COVID-19 cases surge around the world, public health authorities are looking for effective strategies to influence individuals to follow COVID-19 prevention guidelines. However, limited empirical research was conducted to identify the factors behind individuals' compliance with COVID-19 prevention guidelines. This research proposed an integrated model based on the theory of planned behavior and norm activation theory to explain compliance towards COVID-19 prevention guidelines. Data from a survey of 652 individuals were used to test the proposed integrated model. Results showed that three factors: personal norms, attitude towards compliance- behavior, and perceived behavior control, directly influence compliance with COVID-19 prevention guidelines. Awareness of the risk of the COVID-19 pandemic and feelings of responsibility in the COVID-19 fight drives social and moral obligations, respectively, and also influences compliance behavior. The findings of this study not only contribute to theory development in health compliance behavior but also provide practical guidance to health authorities and policymakers on how to enhance compliance behavior with COVID-19 prevention measures.

The Moderating Power of Impulsivity: A Systematic Literature Review Examining the Theory of Planned Behavior

The theory of planned behavior (TPB) states that behavioral intention is the best predictor of actual behavior change. However, intention explains only a portion of the variance in behavior. Of specific interest is the question of which moderating or mediating variables can be leveraged to aid health promotion interventions utilizing the tenets of behavioral economics (delay discounting and commitment contracts) in the intention–behavior pathway. Impulsivity has been postulated to fill this role and may be applied to multiple behaviors. We aim to determine if impulsivity moderates the association between intention and actual behavior in the TPB, to discover what other variables may moderate or mediate this association, and to apply the findings to future studies in the field of behavioral economics. To this end, a systematic review was conducted using the PubMed, PsychINFO, and Embase online databases. Eligible studies in peer-reviewed journals published prior to November 2021 were selected. Thirty-three studies were included in the final review, examining physical activity, diet, preventive health, mental health, addiction, and medication adherence behaviors. Three main concepts emerged: (1) impulsivity moderates the association between intention and behavior change; (2) self-efficacy moderates the association between intention and behavior change; and (3) planning and self-efficacy contribute to moderated mediation. This review demonstrates a gap in the literature regarding the application of the TPB to the intention–behavior pathway for health behaviors. Future studies in behavioral economics may leverage the variables of impulsivity, self-efficacy, and planning to predict follow-through in this area and to develop targeted change initiatives.

Predicting Physical Activity Behavior by Automatic and Reflective Self-Regulatory Processes

In this study, we examined the interaction of automatic (i.e., automatic affective evaluations) and reflective [i.e., reflective intention and executive functions (EFs)] processes on physical activity (PA) behavior based on dual-process theories. We expected main effects as well as significant interaction effects between automatic associations, intention, and EFs on behavior. In particular, a well-controlled implicit-association-test (IAT) was applied to assess automatic affective evaluation. A prospective study with two points of measurement (N=212 students) was conducted. At t1, age, sex, PA behavior (control variables), automatic associations, EFs (shifting, updating, inhibition), and PA intention (predictors and moderators) were assessed with standardized questionnaires and tests. At t2 (4weeks later), PA behavior (dependent variable) was measured with a standardized questionnaire. A hierarchical multiple linear regression analysis including two- and three-way interactions between IAT results, intention, and EFs on PA behavior was conducted. Results showed that the interactions Intention x Shifting and IAT x Intention x Inhibition were significant. Moderation analyses revealed that participants with higher intentions and lower inhibition values (improved inhibition abilities) showed a negative association between IAT and PA, while those with lower intentions and lower inhibition values showed a positive association between IAT and PA, which was documented in a significant slope difference test between these two groups. Thus, both automatic and reflective processes contribute and interact in predicting PA. As well as fostering more positive affective evaluations towards PA, interventions to strengthen PA intentions and to improve EFs could help to increase PA behavior.