Measuring Perceived Benefits and Perceived Barriers for Physical Activity

Brown, Seth A.

doi:10.5993/ajhb.29.2.2

Cited by 111 publications

(135 citation statements)

References 15 publications

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“…The participants were placed at one of the stages (i.e. pre-contemplation, contemplation, preparation, action, and maintenance) based on their answers to the question (6,(14)(15)(16). The retest coefficient of this instrument was calculated as 0.92 in this study.…”

Section: Data Collection Toolsmentioning

confidence: 99%

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The Effect of a TTM-Based Intervention on Level of Physical Activity in ICU Nurses

Moosavi

Farmanbar

Fatemi

et al. 2017

Iran Red Crescent Med J

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Background: Theory-oriented interventions play a key role in promoting people's QOL and preventing the risk of immobility. Given this key role and due to the critical nature of nurses' professional duties, this study was performed. Objective: The study aimed to determine the effect of a TTM-based intervention on level of physical activity in ICU nurses working at hospitals affiliated to Guilan University of Medical Sciences. Methods: This randomized controlled trial first selected 82 nurses through the census method in order to determine their SOC, then assigned 68 nurses who were in the first three stages to case and control groups. Valid and reliable data collection tools were used, including a demographic questionnaire and TTM constructs (SOC, GPAQ, SE, DB, and POC). Path analysis of data was performed by Lisrel-8.80. The inter-correlation matrix was determined within the model's constructs and between the constructs and the level of physical activity in order to design and implement the intervention. Two-stage assessment was performed, once immediately after the intervention and again six months later. The data obtained were analyzed using appropriate statistical tests and Pearson correlation coefficient. Results: 82.9% of the participants were in the first three stages of TTM. Immediately after the intervention, 55.9% were in the preparation stage, 44.1% in the pre-contemplation stage, and 76.5% in the contemplation stage. Before the intervention, only 26.5% were in the preparation and 44.1% in pre-contemplation stages. There was a statistically significant difference (P = 0.0001) between the control and case groups immediately and six months after the intervention. Conclusion: TTM-based intervention led to the subjects' placement in higher levels of SOC.

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Section: Data Collection Toolsmentioning

confidence: 99%

“…Necessary instructions about light, moderate, and intense activity were given to the participants prior to completing the GPAQ (10,14,15,(17)(18)(19) (16). The Cronbach's alpha reliability of the questionnaire contains of 6 items calculated as 0.89.…”

Section: Data Collection Toolsmentioning

confidence: 99%

The Effect of a TTM-Based Intervention on Level of Physical Activity in ICU Nurses

Moosavi

Farmanbar

Fatemi

et al. 2017

Iran Red Crescent Med J

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“…The opening question is followed by a set of statements: "I can manage to carry out my exercise intentions…even when I am tired…even when I am tense…even when I feel depressed …and even when I am busy." Brown (2005) found that PESES has excellent reliability and moderate correlation validity with exercise intention.…”

Section: Physical Exercise Self-efficacy Scale (Peses) Peses Has Beementioning

confidence: 99%

“…Model's five stages of change in relationship to current exercise behavior (Brown, 2005;Marcus & Simkin, 1993;Schwarzer & Renner, 2004). A scoring algorithm is used to determine a respondent's particular stage at the time of completing the questionnaire.…”

Section: Physical Activity Stages Of Change (Pasco) Pasco Assesses Tmentioning

confidence: 99%

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A Secure Behavior Modification Sensor System for Physical Activity Improvement

Price¹

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APPROVAL OF THE REVIEW COMMITTEEThis dissertation has been duly read, reviewed, and critiqued by the Committee listed below, which hereby approves the manuscript of Alan Price as fulfilling the scope and quality requirements for meriting the degree of Doctor of Philosophy in Information Systems and Technology. In this research, exploration was conducted involving the "infrastructure" and "intelligence" aspects of a wireless sensor network through a Behavior Modification Sensor System. First was to understand how a secure wireless sensor network could be established through the symmetric distribution of keys (the securing of the infrastructure), and it involves the mathematical analysis of a novel key pre-distribution scheme. Second explores via field testing the "intelligence" level of the system. This was meant to support the generation of persuasive messages built from the integration of a person's physiological and living pattern data in persuading physical activity behavior change associated with daily walking steps. This system was used by an elderly female in a three-month study.Findings regarding the "infrastructure" or the novel key pre-distribution scheme in comparison to three popular key distribution methods indicates that it offers greater network resiliency to security threats (i.e., times lower), better memory utilization (i.e., 53.9% less), but higher energy consumption (i.e., 2% higher) than its comparison group.Findings from the "intelligence" level of the research posit that using a person's physiological and living pattern data may allow for more "information rich" and stronger persuasive messages. Findings indicate that the study participant was able to change and improve her average daily walking steps by 61% over a pre-treatment period. As the study participant increased her physical activity, changes in her living pattern were also observed (e.g., time spent watching television decreased while time spent engaged in walking increased by an average of 15 minutes per day). Reinforcement of these findings were noted between a pre and post-study survey that indicated the study participant moved from a contemplation stage of change where physical activity engagement was intended but not acted upon to an action stage of change where physical activity engagement dominated the new behavior.

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Home cooking in the digital age: When observing food influencers on social media triggers the imitation of their practices

Sokolova,

Vessal,

Perez

2024

Psychology and Marketing

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Social media influencers are effective in influencing the purchase intention of their audience. Aside from products, influencers also promote certain lifestyles and behaviors. Food influencers, for example, frequently feature home cooking, a healthier behavior compared to snacking or dining out. This study explored the potential of social media influencers in promoting such behavior. Driven by social cognitive theory, we explored whether self‐efficacy, perceived benefits, and concerns (social, entertainment, health, and economic) relate to the intention of the audience to cook at home following the recipes an Instagram influencer provides. We conducted three separate studies (two surveys and one experiment) with a French population of social network platform users. Our results showed that the entertainment value of an observed behavior is the main driver for imitation on social media, along with self‐efficacy, at least for women. Mixed results were obtained for social benefits. The perceived ease of the recipe, cooking experience, and explicit verbal encouragement were positively related to self‐efficacy. Surprisingly, the effect of health and economic benefits or concerns and labeling was not confirmed.

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Measuring Perceived Benefits and Perceived Barriers for Physical Activity

Cited by 111 publications

References 15 publications

The Effect of a TTM-Based Intervention on Level of Physical Activity in ICU Nurses

The Effect of a TTM-Based Intervention on Level of Physical Activity in ICU Nurses

A Secure Behavior Modification Sensor System for Physical Activity Improvement

Home cooking in the digital age: When observing food influencers on social media triggers the imitation of their practices

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