Effect of counseling for physical activity on movement behavior in physically inactive people: A randomized clinical trial.
Behavior change, motivation, quality of life, self-determination theory, motivational interviewing.
Counseling to promote Physical Activities (APAF) is a strategy that has been widely applied in primary health care (PHC) and has demonstrated promising results, despite the observed variability. Furthermore, there are few studies that propose testing the joint application of self-determination theory (TAD) and motivational interviewing (MI) aiming to increase the level of physical activity and reduce sedentary behavior, particularly in an objective way and comparing the intensity of application of the counseling (more and less intensive). The present study aims to verify the effect of counseling to promote physical activity on the practice of physical activity and sedentary behavior of physically inactive people. Fifty people participated in a randomized clinical trial, where the effect of an APAF intervention (experimental - 1 in-person meeting and 5 remote meetings over 3 months with messages between sessions) will be compared with a single APAF session (control). In the first session, the same APAF session will be applied to both groups, where it will be... In addition to assessing the movement pattern (level of physical activity and reduction of sedentary behavior), explicit attitudes will be assessed (social norms, pros and cons, self-efficacy, interest), motivational regulations (BREQ-3) and Basic Psychological Needs in Exercise (BPNES), depression, stress and anxiety (DASS-21), quality of life (SF-12), lifestyle habits (such as alcohol consumption and tobacco), anthropometric measurements, blood pressure at rest and after physical exercise and physical exercise (cardiorespiratory fitness, upper and lower limb strength, and flexibility) before and after the follow-up period. An independent test will be used to compare baseline measurements between the experimental and control groups. A General Estimates Discovery (GEE) model accompanied by the Bonferroni post-hoc test will be used to evaluate the group (2 factors: experimental vs. control) x time (3 factors: baseline vs. 3 months) interaction effect. ) over independent variables. Data analysis will be performed using SPSS 29.0 (IBM Corporation®, Armonk, New York), and a significance value of p < 0.05 will be adopted for all analyses.