Goal prioritization and behavior change: Evaluation of an intervention for multiple health behaviors

Does Intention Strength Moderate the Intention-Health Behavior Relationship for Covid-19 Protection Behaviors?

BACKGROUND AND PURPOSE

The present research tests whether intention strength moderates intention-health behavior relations and the extent to which this is accounted for by the moderating effects of intention stability, goal priority, and goal conflict.

METHODS

In a prospective multi-behavior study, a representative sample of UK adults (N = 503) completed measures of past behavior, intention, intention strength, goal priority, and goal conflict in relation to eight Covid-19 protection behaviors at time 1. Intention and self-reported behavior were assessed at time 2 (2 months later). Intention stability was assessed over 2 months.

RESULTS

Intention strength was a significant moderator of the intention-behavior relationship (controlling for past behavior). Controlling for the moderating effects of intention stability attenuated the moderating effect of intention strength, while also controlling for the moderating effects of goal priority and goal conflict reduced the moderating effects of intention strength to nonsignificance.

CONCLUSIONS

The present findings indicate that intention strength is a significant moderator of the intention-health behavior relationship. They also suggest that the moderating effect of intention strength is explained by effects on intention stability, goal priority, and goal conflict. Tests of interventions to manipulate intention strength as a means to strengthen intention stability and intention-behavior relations are warranted.

A cross-sectional study of the preventive health care activities of western Canadian rural-living patients unattached to primary care providers

Prevention services, such as screening tests and vaccination, are underutilized, especially by rural populations and patients without a usual primary care provider. Little is known about the compounding impacts on preventive care of being unattached and living in a rural area and there has been no comprehensive exploration of this highly vulnerable population’s prevention activities. The twofold purpose of this research was to examine rural unattached patients’ prevention activity self-efficacy and completion and to explore their experiences accessing healthcare, including COVID-19 impacts. Two thirds of patients had been unattached for over one year, and over 20 % had been unattached for over 5 years; males experienced longer unattachment compared to females. Completion rates of prevention activities were relatively low, ranging from 5.9 % (alcohol screening) to 59 % (vision test). Most participants did not complete their prevention care activities in line with the Lifetime Prevention Schedule timeline: 65 % of participants had less than half of their activities up-to-date and only 6.7 % of participants were up to date on 75 % or more of their prevention activities. Participants with higher prevention self-efficacy scores were more likely to be up-to-date on associated prevention activities but the longer patients had been unattached, the fewer their up-to-date prevention activities. Patients expressed negative impacts of COVID-19 including walk-in clinics shutting down limiting access to care. These results suggest serious gaps in rural unattached patients’ preventive care and highlight the need for support when they are without a usual primary care provider, which can be lengthy.

Understanding the intention-behavior gap: The role of intention strength

This manuscript overviews recent research on the intention-behavior gap, focusing on moderators of the intention-behavior relationship. The manuscript draws on the concept of intention strength to make two important points. First, strong intentions provide better predictions of behavior, thereby reducing the intention-behavior gap. However, strong intentions have the additional features of being more stable over time, less pliable in the face of interventions to change them, and more likely to bias information processing about engaging in the behavior. These four features of intention strength are not independent. For example, stable intentions are likely to provide better predictions of behavior. Second, various predictors of strength (e.g., importance, certainty, extremity) may also constitute important, but little studied, moderators of the intention-behavior relationship. Moreover, the effects of these moderators of the intention-behavior relationship may be mediated through intention stability (and perhaps other features of intention strength). Future research on the intention-behavior gap would benefit from a more systematic consideration of a broad range of moderators of the intention-behavior relationship both individually and in combination. In addition, future research could usefully explore how these moderating effects might be explained. Such a systematic approach may further our understanding of the intention-behavior gap in relation to physical activity and other behaviors.