Understanding Physical Activity Determinants in an HIV Self-Management Intervention: Qualitative Analysis Guided by the Theory of Planned Behavior

BACKGROUND

People living with HIV have long life expectancy and are experiencing more comorbid conditions, being at an increased risk for developing cardiovascular disease (CVD) and diabetes, further exacerbated due to the HIV or inflammatory process. One effective intervention shown to decrease mortality and improve health outcomes related to CVD and diabetes in people living with HIV is increased regular physical activity. However, people living with HIV often fall short of the daily recommended physical activity levels. While studies show that mobile health (mHealth) can potentially help improve people's daily activity levels and reduce mortality rates due to comorbid conditions, these studies do not specifically focus on people living with HIV. As such, it is essential to understand how mHealth interventions, such as wearables, can improve the physical activity of people living with HIV.

OBJECTIVE

This study aimed to understand participants' experiences wearing a fitness tracker and an app to improve their physical activity.

METHODS

In total, 6 focus groups were conducted with participants who completed the control arm of a 6-month randomized controlled trial (ClinicalTrials.gov NCT03205982). The control arm received daily walk step reminders to walk at least 5000 steps per day and focused on the overall wellness of the individual. The analysis of the qualitative focus groups used inductive content analysis using the theory of planned behavior as a framework to guide and organize the analysis.

RESULTS

In total, 41 people living with HIV participated in the focus groups. The majority (n=26, 63%) of participants reported their race as Black or African American, and 32% (n=13) of them identified their ethnicity as Hispanic or Latino. In total, 9 major themes were identified and organized following the theory of planned behavior constructs. Overall, 2 major themes (positive attitude toward tracking steps and tracking steps is motivating) related to attitudes toward the behavior, 2 major themes (social support or motivation from the fitness tracker and app and encouragement from family and friends) related to participant's subjective norms, 1 theme (you can adjust your daily habits with time) related to perceived behavioral control, 2 themes (reach their step goal and have a healthier lifestyle) related to participant's intention, and 2 themes (continuing to walk actively and regularly wearing the fitness tracker) related to participant's changed behavior. Participants highlighted how the mHealth interface with the avatar and daily step tracking motivated them to both begin and continue to engage in physical activity by adjusting their daily routines.

CONCLUSIONS

Findings from this study illustrate how features of mHealth apps may motivate people living with HIV to start and continue sustained engagement in physical activities. This sustained increase in physical activity is crucial for reducing the risk of comorbid conditions such as diabetes or CVD.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03205982; https://classic.clinicaltrials.gov/ct2/show/NCT03205982.

Community Safety Behavior in Response to Coronavirus Pandemic

The purpose of this study is to explore the behavior and lifestyle of individuals in response to the coronavirus that the safety behavior of people in the coronavirus disease of 2019 pandemic. Hence, the study integrates the theory of planned behavior and the health belief model to understand the behavioral change in response to the coronavirus pandemic. The current study is qualitative therefore, a survey-based online questionnaire was used for data collection from university students and staff (faculty and nonfaculty) residing in top-tier cities of Pakistan, nonprobability convenient sampling was used to approach the audience. A two-stage approach was used to test the model using partial least square (variance-based structural equation modeling). The reliability and validity of the measurement model indicate that the data is reliable and valid. Outcomes prove all the relationships as proposed by the study, except for the impact of perceived barriers on intention and individual safety behavior. Perceived barriers act as obstacles that abstain individuals from following the standard operating procedures. The research agenda provides new insights into the fields of marketing, health care, consumer behavior, and behavioral studies. It contributes to the existing literature in the field of social marketing by studying the behavior and changes in the behavior of people in the global pandemic.

Use of Social or Behavioral Theories in Exercise-Related Injury Prevention Program Research: A Systematic Review

BACKGROUND

The use of social or behavioral theories within exercise-related injury prevention program (ERIPP) research may lead to a better understanding of why adherence to the programs is low and inform the development of interventions to improve program adherence. There is a need to determine which theories have been used within the literature and at what level theory was used to further the field.

OBJECTIVE

To determine which social or behavioral science theories have been incorporated within ERIPP research and assess the level at which the theories were used. The key question guiding the search was "What social or behavioral theories have been used within ERIPP research?"

METHODS

A systematic review of the literature was completed with an appraisal of bias risk using a custom critical appraisal tool. An electronic search of EBSCOhost (Academic Search Complete, CINAHL, Medline, Psychology and Behavioral Sciences Collection) and PubMed was completed from inception to October 2018. Studies investigating attitudes towards ERIPP participation with the use of a social or behavioral theoretical model or framework were eligible for inclusion.

RESULTS

The electronic search returned 7482 results and two articles were identified though a hand search, which resulted in ten articles meeting inclusion criteria. Four different behavioral or social theoretical models or frameworks were identified including the health action process approach model, health belief model, self-determination theory, and theory of planned behavior. Six studies utilized the theory at a B level meaning a theoretical construct was measured while four utilized the theory at the C level meaning the theory was tested. The mean critical appraisal score was 78%, indicating a majority of the studies were higher quality.

CONCLUSION

There has been an increase in the use of theory within literature that is specific to ERIPP participation. Additionally, the use of theory has shifted from guiding program design to the measurement of theoretical constructs and testing of the theoretical models.

Health Belief Model Scale and Theory of Planned Behavior Scale to assess attitudes and perceptions of injury prevention program participation: An exploratory factor analysis

OBJECTIVES

To examine the psychometric properties of the Health Belief Model Scale (HBMS) and Theory of Planned Behavior Scale (TPBS), and determine construct validity by evaluating which subscales were most associated with intention to participate in an Exercise-related Injury Prevention Program (ERIPP) within physically active adults.

DESIGN

Cross-sectional.

METHODS

Two hundred and eighty-four physically active individuals volunteered to participate in this study and completed the HBMS and TPBS on one occasion. The HBMS consisted of 39 items and the TPBS consisted of 22 items. Both scales aimed to assess attitudes and perceptions of ERIPP participation. Exploratory factor analysis evaluated the loading factors of the HBMS and TPBS. Linear regression determined if the HBMS and TPBS subscales were predictors of intention to participate in an ERIPP.

RESULTS

Nine factors were identified within the HBMS and five factors were identified within the TPBS. The subscales of the HBMS and TPBS had acceptable internal consistencies. Perceived benefits, social norms, and social influence from the TPBS and perceived benefits, individual self-efficacy, and general health cues from the HBMS were positively and significantly associated with intention to participate while perceived barriers had a negative association.

CONCLUSIONS

The HBMS and TPBS demonstrated strong psychometric properties to assess behavioral determinants of ERIPP participation within physically active adults. The social influence, social norm, and individual self-efficacy subscales were the best predictors of intention to participate followed by benefits, general health cues, and barriers.