Physical Inactivity
Conditions
Keywords
Physical Activity, Tailored communication, Behavior Change, Self Efficacy, Health Action Process Approach, Persuasive Communication, Walking
Brief summary
This study aims to evaluate the efficacy of a physical activity promotion intervention focused on walking behavior. The intervention is delivered via mobile application in a sample drawn from the healthy adult population.
Detailed description
A sample of sedentary adults will be invited to participate in a 30 days intervention delivered via a mobile app to achieve the goal of 7,000 daily steps. Before and after the intervention, some crucial variables will be evaluated for the formation of the intention to change behavior and for the transition from intention to action (attitudes, subjective norms, self-efficacy, expectations related to change, risk perception, social support, planning) to compare two models of behavioral change. During the intervention, messages will be sent daily, and the number of steps taken daily will be monitored. The aim is to compare the effectiveness of two types of communication in promoting a positive behavioral change: non-personalized communication centered on well-being (non-tailored communication) vs. personalized communication based on the psychological characteristics evaluated before the intervention (tailored communication). The physical activity carried out over 30 days by the participants who will receive the messages (tailored and non-tailored) will be compared with the physical activity carried out by participants who will not receive any messages (control group).
Interventions
BEHAVIORALWalk behavior change: Tailored messages (TM)
Every afternoon at the same time, the mobile application sends a message to the participants of the TM arm. The message is tailored based on the answers provided to the pre-intervention questionnaire. An example message is: you think you are not able to walk regularly when your morale is low: do not give up because physical activity is also good for the mood! The intervention is provided for 30 days.
BEHAVIORALWalk behavior change: Non tailored messages (NTM)
Every afternoon at the same time, the mobile application sends a message to the participants of the NTM arm. The message concerns the emotional well-being resulting from the performance of the physical activity and is not tailored. An example message is: walking regularly in the fresh air improves your mood. The intervention is provided for 30 days.
Sponsors
Federico II University
University of Bergamo
University of Milano Bicocca
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Subject)
Masking description
The baseline assessment, the intervention, and the post-intervention assessment are provided automatically via the mobile app. In addition, participants are randomly assigned to a specific experimental group before starting the study and do not know which experimental group they are assigned. These features of the study minimize observer bias.
Eligibility
Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
Yes
Inclusion criteria
* Participants from the general population, in good health and sedentary * A level of education sufficient to understand the procedures of the study and to use a smartphone * Having a smartphone
Exclusion criteria
* The participant always (or almost always) takes at least 7,000 steps a day * The participant achieves an IPAQ score equal to or greater than 3000 MET-min / week * The participant has symptoms or pathologies that could represent a contraindication to the physical activity proposed by the study. In particular * Cardiovascular diseases for which physical activity is allowed only under medical supervision * Chest pain during daily activities * Drug treatment for cardiovascular diseases * Severe arterial hypertension not pharmacologically controlled * Episodes of loss of consciousness within the past 12 months * Osteoarticular disorders that could be aggravated by a change in the level of physical activity * Fractures of the lower limbs, vertebrae, or pelvis in the past six months * Walking difficulty * Respiratory insufficiency
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change from Baseline in Physical Activity | Baseline and 30 days | Physical activity is assessed with the International Physical Activity Questionnaire (IPAQ; Mannocci et al., 2010). The scale comprises seven items on Physical Activity providing information about time spent walking, moderate and vigorous intensity, and sedentary activity. The elements are structured to provide separate scores for walking, moderate and vigorous intensity activity, and a combined total score to describe the overall activity level. Data collected with IPAQ are reported as a continuous measure and reported as MET-median minutes. |
| Change from Baseline in Walk behavior | Baseline and 30 days | Walk behavior is self-monitored daily. Each evening, participants receive a message and enter the number of steps taken in a specific app section based on the data reported on the smartwatch or the smartphone's native app. The mean number of steps at the intervention's beginning and the end is then calculated. These two measures are compared to verify whether a statistically significant increase in daily steps is observed over time. |
Other
| Measure | Time frame | Description |
|---|---|---|
| Adherence to a healthy lifestyle: smoking | Baseline | Participants report if they smoke, and the frequency of smoking through a 6-point Likert scale (1 = every day; 6 = never). The higher the score, the higher the adherence to guidelines. |
| Adherence to a healthy lifestyle: medication | Baseline | Medication adherence is evaluated using the brief Italian version of the Morisky Green Levine Scale (MGLS), a questionnaire consisting of 4 questions with dichotomous answers (yes or no). Each behavior is classified as adequate (score = 1) or inadequate (score = 0). The item responses are added up. The higher the score, the higher the medication adherence. A total score of \<2 is indicative of poor adherence. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): intention to change walking behavior | Baseline | Participants indicate how much they intend to walk regularly (take at least 7,000 steps per day at a moderate speed) through a single item on a 7-point Likert scale, where 1 = totally disagree, 7 = totally agree. The higher the score, the higher the intention to walk regularly. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): action self-efficacy | Baseline | Participants indicate confidence in their abilities to walk regularly through a single item on a 5-point Likert scale, where 1 = not capable and 5 = fully capable. The higher the score, the higher the action self-efficacy. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): health risk perception | Baseline | Participants indicate how exposed they feel to health risks (six items) concerning their current unhealthy behavior (i.e., how little they walk) on a 7-point Likert scale, where 1 = in no way, 7 = very much. The score is calculated as the mean of the six items' scores. The higher the score, the higher the health risk perception. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): planning | Baseline | Participants indicate if they have a detailed plan concerning six concrete aspects of achieving the goal of 7,000 steps per day (for example, when and where to walk) on a 7-point Likert scale, where 1 = in no way, 7 = very much. The score is calculated as the mean of the six items' scores. The higher the score, the higher the planning. |
| Adherence to a healthy lifestyle: diet | Baseline | Regarding adherence to a healthy lifestyle, participants report the frequency of consumption of 17 different food types through a 7-point Likert scale. The items were taken from a survey of the National Institute of Statistics (https://www.istat.it/it/archivio/91926). We will classify each behavior as adequate (score = 1) or inadequate (score = 0), following international and national guidelines. We will add up the scores obtained for specific foods similar to the MedDietScore scale (Trichopoulou et al., 2003), in order to build a diet adequacy index for use in subsequent analyses. The higher the score, the higher the adherence to guidelines. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): maintenance self-efficacy | Baseline | Participants indicate confidence in their ability to maintain the new healthier behavior despite obstacles and difficulties through ten items on a 7-point Likert scale, where 1 = in no way, 7 = very much. The score is calculated as the mean of the ten items' scores. The higher the score, the higher the maintenance self-efficacy. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): recovery self-efficacy | Baseline | Participants indicate confidence in their ability to regain healthy behavior if a lapse occurs through a single item on a 5-point Likert scale, where 1 = not capable and 5 = fully capable. The higher the score, the higher the maintenance self-efficacy. |
| Predictors of behavioral change according to the Theory of Planned Behavior (TPB; Ajzen, 1991; Canfora et al., 2018): instrumental attitude | Baseline | This variable is evaluated using a ten-item semantic differential on a 7-point scale, ranging from 1 (e.g., useless) to 7 (e.g., useful). Participants read each pair of adjectives and check a box more or less close to the adjective they feel is best suited to describe what it would mean to reach the goal of 7,000 steps daily. The score is calculated as the mean of the ten items' scores. The higher the score, the more positive the attitude. |
| Predictors of behavioral change according to the Theory of Planned Behavior (TPB; Ajzen, 1991; Canfora et al., 2018): subjective norms | Baseline | Participants indicate how significant others judge regular walking as important (subjective norms or the perceived social pressure concerning walking behavior). This variable is measured through five items on a 7-point Likert scale, where 1 = totally disagree, 7 = totally agree. The score is calculated as the mean of the five items' scores. The higher the score, the stronger the subjective norms. |
| Predictors of behavioral change according to the Theory of Planned Behavior (TPB; Ajzen, 1991; Canfora et al., 2018): social support | Baseline | Participants indicate how much support/approval they would receive from their partner, family, friends, and walking group/associations on a 5-point Likert scale, where 1 = no support and 5 = much support. The score is calculated as the mean of the four items' scores. The higher the score, the greater the perceived social support. |
| Predictors of behavioral change according to the Theory of Planned Behavior (TPB; Ajzen, 1991; Canfora et al., 2018): anticipated affective reactions | Baseline | Participants indicate to what extent they would experience positive affective reactions (in case of reaching the goal of 7,000 steps per day - 3 items) or negative affective reactions (in case of failure to reach the goal - 3 items) on a 7-point Likert scale, where 1 = totally disagree, 7 = totally agree. The score of each variable (positive affective reactions and negative affective reactions) is calculated as the mean of the three items' scores. The higher the score, the stronger the affective reaction. |
| Predictors of behavioral change according to the Health Action Process Approach (HAPA, Schwarzer, 2008; Steca et al., 2017): outcome expectancies | Baseline | Participants indicate their positive (3 items) and negative (3 items) expectancies about the health, emotional and social effects of taking at least 7,000 steps a day on a 7-point Likert scale, where 1 = in no way, 7 = very much. The score of each variable (positive expectancies and negative expectancies) is calculated as the mean of the three items' scores. The higher the score, the higher the expectancies. |
| Adherence to a healthy lifestyle: alcohol consumption | Baseline | Participants report the frequency of consumption of alcoholic beverages during the last month through a 6-point Likert scale (1 = almost every day; 6 = never). The higher the score, the higher the adherence to guidelines. |
Countries
Italy
Contacts
Primary ContactMarco D'Addario, PhD
Backup ContactRoberta Adorni, PhD
Outcome results
None listed