Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis

A randomized controlled mHealth trial that evaluates social comparison-oriented gamification to improve physical activity, sleep quantity, and quality of life in young adults

INTRODUCTION

The integration of gamification in mHealth interventions presents a novel approach to enhance user engagement and health outcomes. This study aims to evaluate whether comparison-oriented gamification can effectively improve various aspects of health and well-being, including physical activity, sedentary behavior, sleep, and overall quality of life among young adults.

METHODS

Potential 107 young adults (from 19 to 28 years old) participated in an 8-week trial. Participants were assigned to either a gamified mHealth intervention (LevantApp) with daily leaderboards and progress bars (n = 53, 26 % dropped-out), or a control condition without gamification (n = 52, 29 % dropped-out). Physical activity (number of steps, moderate and moderate-to-vigorous physical activity -MVPA-) and sleep quantity were measured objectively via accelerometry and subjectively using the International Physical Activity Questionnaire(IPAQ), Pittsburgh Sleep Quality Index(PSQI), Sedentary Behavior Questionnaire(SBQ), and Short Form Health Survey(SF-36).

RESULTS

This mHealth intervention with social comparison-oriented gamification significantly improved moderate physical activity to a greater extent than the control group. Additionally, the intervention group showed improvements in the number of steps, moderate physical activity, sedentary time, emotional wellbeing, and social functioning. However, no significant group by time interaction was observed. No significant differences were observed in sleep quality or quantity.

CONCLUSION

s: The LevantApp gamified mHealth intervention was effective in improving moderate physical activity, physical functioning, and role-emotional in young adults. No significant effects were found on step counts, MVPA or sleep, suggesting that while gamification can enhance specific aspects of physical activity and quality of life, its impact may vary across different outcomes.

The sedentary behavior reduction in pregnancy intervention (SPRING) pilot and feasibility randomized trial

Pregnant individuals rarely achieve moderate-to-vigorous intensity physical activity recommendations.Purpose The sedentary behavior reduction in pregnancy intervention (SPRING) pilot and feasibility randomized trial aimed to demonstrate feasibility, acceptability, and initial efficacy of a lower intensity intervention targeting reduced sedentary behavior and increased standing and steps.Methods First trimester pregnant individuals at risk for high sedentary behavior and adverse pregnancy outcomes (APO) were randomized 2:1 to a multi-component sedentary behavior reduction intervention or no-contact control. Intervention components included biweekly remote health coaching, wearable activity monitor, height-adjustable workstation, and a private Facebook group. Evidence-based behavioral targets included sedentary time < 9 h/day, increasing standing by 2-3 h/day, and ≥ 7500 steps/day. Participants completed all-remote assessments (baseline, second trimester, third trimester) of sedentary behavior and activity (thigh-worn activPAL) along with exploratory pregnancy health outcomes abstracted from medical records. Intervention effects vs. control were evaluated using generalized mixed models and an intention-to-treat approach. Intervention participants also provided feedback on perceived benefits and acceptability.Results Participants (34 intervention; 17 control) had mean age 32 years, were 83% White, with mean pre-pregnancy BMI 28 kg/m2. Retention was high (90% and 83% at second and third trimester follow-up visits). Intervention participants decreased sedentary time (-0.84 h/day, p = 0.019) and increased standing (+0.77 h/day, p = 0.003), but did not increase steps/day (+710, p = 0.257) compared to controls. Intervention participants reported many perceived benefits and identified the wearable, height-adjustable workstation, and behavioral lessons as most useful.Conclusion For pregnant individuals at risk for high sedentary behavior and APOs, a sedentary behavior reduction intervention is feasible, acceptable, and may offer a viable alternative to more intense physical activity recommendations during pregnancy. Further testing in a fully powered clinical trial is warranted.Trial registration NCT05093842 on clinicaltrials.gov.

Smartphone app-based interventions on physical activity behaviors and psychological correlates in healthy young adults: A systematic review

BACKGROUND

The issue of low physical activity (PA) levels among the youth is a longstanding concern. Smartphone applications offer a promising avenue for delivering interventions that are both accessible and engaging. Up to now, there appears to be a gap in the literature, with no systematic reviews assessing the efficacy of smartphone apps in encouraging increased physical activity among healthy young adults.

OBJECTIVE

To synthesize the effects of a smartphone app-based intervention on PA and PA-related psychological correlates in healthy young adults (18-35 years old).

METHODS

A search was conducted on eighteen databases: PubMed, Medline, Web of Science, SPORTDiscus, Scopus, Academic Search Premier, Communication and Mass Media Complete, Article First, Biomed Central, BioOne, EBSCOHost, JSTOR, ProQuest, SAGE Reference Online, ScienceDirect, SpringerLink, Taylor&Francis, and Wiley Online. The search covered the period up until December 2023. This research included all randomized controlled trials (RCTs) that evaluated the effectiveness of smartphone app-based interventions on PA and PA related psychological outcomes in healthy young adults. The overall impact was determined by vote counting based on the direction of effect and aggregating p values. The quality of the evidence was evaluated using an 8-item scale. This study has been registered in the PROSPERO database with the identification number CRD42023390033.

RESULTS

A total of 8403 articles were retrieved, and based on the predefined inclusion and exclusion criteria, seven articles were selected for inclusion. Among these articles, four high-quality RCTs were identified, and the results of vote counting and combining p values methods suggested that smartphone-based app interventions did not demonstrate significant effectiveness in improving PA and PA-related psychological outcomes. However, some improvements were observed. The analysis results, which were categorized into fitness apps and health apps based on the characteristics of the interventions, also failed to demonstrate significant intervention effects.

CONCLUSION

The findings indicate that, currently, there are no significant effects of smartphone app interventions on improving PA and PA-related psychological outcomes in healthy young adults aged 18-35 years. It is important to note that these findings should be interpreted with caution due to the limited number of included studies. Future research should focus on employing high-quality study designs to determine the true effects of interventions and analyze various smartphone app interventions. These analyses should encompass different app characteristics (e.g., fitness app and health app), various combinations (e.g., fitness app alone and fitness app in combination with other interventions), diverse intervention goals (e.g., PA and PA along with other outcomes), and multiple intervention characteristics (e.g., frequency and duration).

Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED)

BACKGROUND

The escalating global prevalence of type 2 diabetes and prediabetes presents a major public health challenge. Physical activity plays a critical role in managing (pre)diabetes; however, adherence to physical activity recommendations remains low. The ENERGISED trial was designed to address these challenges by integrating mHealth tools into the routine practice of general practitioners, aiming for a significant, scalable impact in (pre)diabetes patient care through increased physical activity and reduced sedentary behaviour.

METHODS

The mHealth intervention for the ENERGISED trial was developed according to the mHealth development and evaluation framework, which includes the active participation of (pre)diabetes patients. This iterative process encompasses four sequential phases: (a) conceptualisation to identify key aspects of the intervention; (b) formative research including two focus groups with (pre)diabetes patients (n = 14) to tailor the intervention to the needs and preferences of the target population; (c) pre-testing using think-aloud patient interviews (n = 7) to optimise the intervention components; and (d) piloting (n = 10) to refine the intervention to its final form.

RESULTS

The final intervention comprises six types of text messages, each embodying different behaviour change techniques. Some of the messages, such as those providing interim reviews of the patients' weekly step goal or feedback on their weekly performance, are delivered at fixed times of the week. Others are triggered just in time by specific physical behaviour events as detected by the Fitbit activity tracker: for example, prompts to increase walking pace are triggered after 5 min of continuous walking; and prompts to interrupt sitting following 30 min of uninterrupted sitting. For patients without a smartphone or reliable internet connection, the intervention is adapted to ensure inclusivity. Patients receive on average three to six messages per week for 12 months. During the first six months, the text messaging is supplemented with monthly phone counselling to enable personalisation of the intervention, assistance with technical issues, and enhancement of adherence.

CONCLUSIONS

The participatory development of the ENERGISED mHealth intervention, incorporating just-in-time prompts, has the potential to significantly enhance the capacity of general practitioners for personalised behavioural counselling on physical activity in (pre)diabetes patients, with implications for broader applications in primary care.

Lessons and Untapped Potential of Smartphone-Based Physical Activity Interventions for Mental Health: Narrative Review

BACKGROUND

Physical activity has well-known and broad health benefits, including antidepressive and anxiolytic effects. However, only approximately half of Americans meet even the minimum exercise recommendations. Individuals with anxiety, depression, or related conditions are even less likely to do so. With the advent of mobile sensors and phones, experts have quickly noted the utility of technology for the enhanced measurement of and intervention for physical activity. In addition to being more accessible than in-person approaches, technology-driven interventions may uniquely engage key mechanisms of behavior change such as self-awareness.

OBJECTIVE

This study aims to provide a narrative overview and specific recommendations for future research on smartphone-based physical activity interventions for psychological disorders or concerns.

METHODS

In this paper, we summarized early efforts to adapt and test smartphone-based or smartphone-supported physical activity interventions for mental health. The included articles described or reported smartphone-delivered or smartphone-supported interventions intended to increase physical activity or reduce sedentary behavior and included an emotional disorder, concern, or symptom as an outcome measure. We attempted to extract details regarding the intervention designs, trial designs, study populations, outcome measures, and inclusion of adaptations specifically for mental health. In taking a narrative lens, we drew attention to the type of work that has been done and used these exemplars to discuss key directions to build on.

RESULTS

To date, most studies have examined mental health outcomes as secondary or exploratory variables largely in the context of managing medical concerns (eg, cancer and diabetes). Few trials have recruited psychiatric populations or explicitly aimed to target psychiatric concerns. Consequently, although there are encouraging signals that smartphone-based physical activity interventions could be feasible, acceptable, and efficacious for individuals with mental illnesses, this remains an underexplored area.

CONCLUSIONS

Promising avenues for tailoring validated smartphone-based interventions include adding psychoeducation (eg, the relationship between depression, physical activity, and inactivity), offering psychosocial treatment in parallel (eg, cognitive restructuring), and adding personalized coaching. To conclude, we offer specific recommendations for future research, treatment development, and implementation in this area, which remains open and promising for flexible, highly scalable support.

Missing Data Statistics Provide Causal Insights into Data Loss in Diabetes Health Monitoring by Wearable Sensors

BACKGROUND

Data loss in wearable sensors is an inevitable problem that leads to misrepresentation during diabetes health monitoring. We systematically investigated missing wearable sensors data to get causal insight into the mechanisms leading to missing data.

METHODS

Two-week-long data from a continuous glucose monitor and a Fitbit activity tracker recording heart rate (HR) and step count in free-living patients with type 2 diabetes mellitus were used. The gap size distribution was fitted with a Planck distribution to test for missing not at random (MNAR) and a difference between distributions was tested with a Chi-squared test. Significant missing data dispersion over time was tested with the Kruskal-Wallis test and Dunn post hoc analysis.

RESULTS

Data from 77 subjects resulted in 73 cleaned glucose, 70 HR and 68 step count recordings. The glucose gap sizes followed a Planck distribution. HR and step count gap frequency differed significantly (p < 0.001), and the missing data were therefore MNAR. In glucose, more missing data were found in the night (23:00-01:00), and in step count, more at measurement days 6 and 7 (p < 0.001). In both cases, missing data were caused by insufficient frequency of data synchronization.

CONCLUSIONS

Our novel approach of investigating missing data statistics revealed the mechanisms for missing data in Fitbit and CGM data.

Development of a goal-directed movement intervention (GOAL) using a movement sensor for hospitalized patients: An intervention mapping approach

OBJECTIVE

To describe the development of a goal-directed movement intervention in two medical wards, including recommendations for implementation and evaluation.

DESIGN

Implementation Research.

SETTING

Pulmonology and nephrology/gastroenterology wards of the University Medical Centre Utrecht, The Netherlands.

PARTICIPANTS

Seven focus groups were executed including 28 nurses, 7 physical therapists and 15 medical specialists. Patients' perceptions were repeatedly assessed during the iterative steps of the intervention development.

INTERVENTION

Interventions were targeted to each ward's specific character, following an Intervention Mapping approach using literature and research meetings. Main measures: Intervention components were linked to Behavior Change Techniques and implementation strategies will be selected using the Expert Recommendation Implementing Change tool. Evaluation outcomes like number of patients using the movement intervention will be measured, based on the taxonomy of Proctor.

RESULTS

The developed intervention consists of: insight in patients movement behavior (monitoring & feedback), goal setting (goals & planning) and adjustments to the environment (associations & antecedents). The following implementation strategies are recommended: to conduct educational meetings, prepare & identify champions and audit & provide feedback. To measure service and client outcomes, the mean level of physical activity per ward can be evaluated and the Net Promoter Score can be used.

CONCLUSION(S)

This study shows the development of a goal-directed movement intervention aligned with the needs of healthcare professionals. This resulted in an intervention consisting of feedback & monitoring of movement behavior, goal setting and adjustments in the environment. Using a step-by-step iterative implementation model to guide development and implementation is recommended.

Implementation and engagement of the SMART Work & Life sitting reduction intervention: an exploratory analysis on intervention effectiveness

BACKGROUND

To enhance the impact of interventions, it is important to understand how intervention engagement relates to study outcomes. We report on the level of implementation and engagement with the SMART Work & Life (SWAL) programme (delivered with (SWAL plus desk) and without a height-adjustable desk (SWAL)) and explore the effects of different levels of this on change in daily sitting time in comparison to the control group.

METHODS

The extent of intervention delivery by workplace champions and the extent of engagement by champions and participants (staff) with each intervention activity was assessed by training attendance logs, workplace champion withdrawal dates, intervention activities logs and questionnaires. These data were used to assess whether a cluster met defined criteria for low, medium, or high implementation and engagement or none of these. Mixed effects linear regression analyses tested whether change in sitting time varied by: (i) the number of intervention activities implemented and engaged with, and (ii) the percentage of implementation and engagement with all intervention strategies.

RESULTS

Workplace champions were recruited for all clusters, with 51/52 (98%) attending training. Overall, 12/27 (44.4%) SWAL and 9/25 (36.0%) SWAL plus desk clusters implemented all main intervention strategies. Across remaining clusters, the level of intervention implementation varied. Those in the SWAL (n = 8 (29.6%) clusters, 80 (32.1%) participants) and SWAL plus desk (n = 5 (20.0%) clusters, 41 (17.1%) participants) intervention groups who implemented and engaged with the most intervention strategies and had the highest percentage of cluster implementation and engagement with all intervention strategies sat for 30.9 (95% CI -53.9 to -7.9, p = 0.01) and 75.6 (95% CI -103.6 to -47.7, p < 0.001) fewer minutes/day respectively compared to the control group at 12 month follow up. These differences were larger than the complete case analysis. The differences in sitting time observed for the medium and low levels were similar to the complete case analysis.

CONCLUSIONS

Most intervention strategies were delivered to some extent across the clusters although there was large variation. Superior effects for sitting reduction were seen for those intervention groups who implemented and engaged with the most intervention components and had the highest level of cluster implementation and engagement.

TRIAL REGISTRATION

ISRCTN11618007. Registered on 24 January 2018. https://www.isrctn.com/ISRCTNISRCTN11618007 .

Sitting vs. standing: an urgent need to rebalance our world

During their activities of daily living, humans run, walk, stand, sit and lie down. Recent changes in our environment have favored sedentary behavior over more physically active behavior to such a degree that our health is in danger. Here, we sought to address the problem of excessive time spent seated from various theoretical viewpoints, including postural control, human factors engineering, human history and health psychology. If nothing is done now, the high prevalence of sitting will continue to increase. We make a case for the standing position by demonstrating that spending more time upright can mitigate the physiological and psychological problems associated with excessive sitting without lowering task performance and productivity. The psychological literature even highlights potential benefits of performing certain tasks in the standing position. We propose a number of recommendations on spending more time (but not too much) in the standing position and on more active, nonambulatory behaviors. There is a need to inform people about (i) harmful consequences of excessive sitting and (ii) benefits of spending more time performing active, nonambulatory behaviors. One clear benefit is to reduce detrimental health consequences of excessive sitting and to provide potential additional benefits in terms of productivity and performance.

Improving physical activity in hospitalized patients: The preliminary effectiveness of a goal-directed movement intervention

OBJECTIVE

To evaluate the preliminary effectiveness of a goal-directed movement intervention using a movement sensor on physical activity of hospitalized patients.

DESIGN

Prospective, pre-post study.

SETTING

A university medical center.

PARTICIPANTS

Patients admitted to the pulmonology and nephrology/gastro-enterology wards.

INTERVENTION

The movement intervention consisted of (1) self-monitoring of patients' physical activity, (2) setting daily movement goals and (3) posters with exercises and walking routes. Physical activity was measured with a movement sensor (PAM AM400) which measures active minutes per day.

MAIN MEASURES

Primary outcome was the mean difference in active minutes per day pre- and post-implementation. Secondary outcomes were length of stay, discharge destination, immobility-related complications, physical functioning, perceived difficulty to move, 30-day readmission, 30-day mortality and the adoption of the intervention.

RESULTS

A total of 61 patients was included pre-implementation, and a total of 56 patients was included post-implementation. Pre-implementation, patients were active 38 ± 21 minutes (mean ± SD) per day, and post-implementation 50 ± 31 minutes per day (Δ12, P = 0.031). Perceived difficulty to move decreased from 3.4 to 1.7 (0-10) (Δ1.7, P = 0.008). No significant differences were found in other secondary outcomes.

CONCLUSIONS

The goal-directed movement intervention seems to increase physical activity levels during hospitalization. Therefore, this intervention might be useful for other hospitals to stimulate inpatient physical activity.

A randomized trial of a theory-driven model of health coaching for older adults: short-term and sustained outcomes

BACKGROUND

Healthy Lifetime, a theoretically driven, personalized health coaching program delivered electronically, including face-to-face videoconferencing, was developed to intervene in early aging to stave off functional decline and minimize the onset/exacerbation of chronic conditions.

OBJECTIVE

To determine the efficacy of a theoretically driven, personalized health coaching program in participants 50 years and older with one or more chronic conditions using a randomized, controlled, pragmatic clinical trial methodology.

METHODS

Participants were randomly assigned to the HL (n = 59) or a usual care (n = 63) group. The HL group received health coaching from a trained nurse over eight weeks. Outcomes were measured at baseline, eight weeks, and 20 weeks (after the 12-week no-treatment phase). Regression modeling with fixed-effect repeated measures was used to account for the longitudinal data collection.

RESULTS

For the HL group, health habits increased at 8 weeks (3.1 units; SE = 1.0; p = .0005; effect size = .15). This difference was sustained at 20 weeks (2.4 units, SE = 0.2; p = .0005). Independent self-care agency improved at 8 weeks in individuals with high blood pressure (13.5 units; SE = 4.37; p = .0023; effect size = .3). However, that difference was not sustained at 20 weeks (p = .47). No significant improvements were shown in the usual care group at 8 weeks or 20 weeks.

CONCLUSIONS

HL participants significantly improved their health habits at 8 weeks and sustained this improvement at week 20 (after a 12-week no-treatment phase) vs. the usual care group. Changing health habits alone has been shown to reduce all-cause morbidity and mortality in chronic disease. The high-functioning, community-dwelling older adults with chronic diseases we studied is an important target population for primary care practices to intervene early in aging to stave off the complications of chronic disease and functional decline.

TRIAL REGISTRATION

ClinicalTrials.gov (record NCT05070923, 07/10/2021).

The Quiet Epidemic: An Overview of Emerging Qualitative Research Trends on Sedentary Behavior in Aging Populations

Sedentary behavior poses a significant health risk to older adults. The purpose of this scoping review is to summarize key findings from qualitative research (since 2012), with a focus on explaining prevailing research trends and patterns within the field. This review included 25 studies that met the strict inclusion criteria. Five key research themes have emerged: (1) defining and shaping perspectives of sedentary behavior, (2) understanding the dynamics of daily routines and contexts, (3) raising awareness of older adults' perceived advantages and disadvantages of sedentary behavior, (4) identifying its determinants and discouraging factors, and (5) exploring interventions to promote active behaviors and reduce sedentary behavior. These themes highlight the multifaceted nature of SB and underscore the importance of tailoring interventions to address individual, social, and environmental issues. A comprehensive understanding of SB is critical to developing effective strategies to promote active lifestyles and reduce SB in older adults. Further qualitative research is needed to deepen our understanding and develop targeted interventions and strategies.

Prospectively predicting naturalistic exposure to fitspiration and thinspiration in young women with disordered eating by leveraging an ecological momentary assessment design

OBJECTIVE

Although a growing body of research has examined the impacts of ED-salient content, such as fitspiration and thinspiration, on eating disorder (ED) symptoms, there is less known about the characteristics of who may be at risk for accessing this content on Instagram. Current research is limited by cross-sectional and retrospective designs. This prospective study used ecological momentary assessment (EMA) to predict naturalistic exposure to ED-salient content on Instagram.

METHODS

Female university students with disordered eating (N = 171, Mage = 20.23, SD = 1.71, range = 18-25) completed a baseline session, followed by a seven-day EMA protocol, in which they reported on Instagram use and exposure to fitspiration and thinspiration. Mixed-effects logistical regressions were used to predict exposure to ED-salient content on Instagram from four principal components (e.g., behavioral ED symptoms and trait social comparison) controlling for duration of Instagram use (i.e., dose) and day of study.

RESULTS

Duration of use was positively associated with all types of exposure. Purging/cognitive restraint and excessive exercise/muscle building prospectively predicted access to any ED-salient content and fitspiration only. Restricting positively predicted thinspiration only access. Purging/cognitive restraint positively predicted accessing fitspiration and thinspiration (dual exposure). Day of study was negatively associated with any exposure, fitspiration only, and dual exposure.

CONCLUSIONS

Baseline ED behaviors were differentially associated with exposure to ED-salient Instagram content; however, duration of use was also a significant predictor. Limiting use of Instagram may be important for young women with disordered eating to reduce probability of encountering ED-salient content.

Rationale, Design, and Methods for the Sedentary Behavior Reduction in Pregnancy Intervention (SPRING): Protocol for a Pilot and Feasibility Randomized Controlled Trial

BACKGROUND

Adverse pregnancy outcomes (APOs) identify cardiovascular disease risk, but few effective interventions are available. High sedentary behavior (SED) has recently been associated with APOs, but very few randomized controlled trials (RCTs) have tested SED reduction in pregnancy.

OBJECTIVE

The Sedentary Behavior Reduction in Pregnancy Intervention (SPRING) pilot and feasibility RCT addresses this gap by testing the feasibility, acceptability, and preliminary pregnancy health effects of an intervention to reduce SED in pregnant women. The objective of this manuscript is to describe the rationale and design of SPRING.

METHODS

Pregnant participants (n=53) in their first trimester, who are at risk for high SED and APO and without contraindications, are randomized in a 2:1 ratio to an intervention or control group. SED (primary outcome) and standing durations, and steps per day, are measured objectively in each trimester for 1 week with a thigh-mounted activPAL3 accelerometer. SPRING also seeks to demonstrate feasibility and acceptability while estimating preliminary effects on maternal-fetal health outcomes assessed during study visits and abstracted from medical records. The pregnancy-customized intervention promotes daily behavioral targets of less than 9 hours of SED and at least 7500 steps, achieved via increased standing and incorporating light-intensity movement breaks each hour. The multicomponent intervention provides a height-adjustable workstation, a wearable activity monitor, behavioral counseling every 2 weeks (through videoconference), and membership in a private social media group. Herein, we review the rationale, describe recruitment and screening processes, and detail the intervention, assessment protocols, and planned statistical analyses.

RESULTS

This study was funded by the American Heart Association (20TPA3549099), with a funding period of January 1, 2021, and until December 31, 2023. Institutional review board approval was obtained on February 24, 2021. Participants were randomized between October 2021 and September 2022, with final data collection planned for May 2023. Analyses and submission of results are expected for winter of 2023.

CONCLUSIONS

The SPRING RCT will provide initial evidence on the feasibility and acceptability of an SED-reduction intervention to decrease SED in pregnant women. These data will inform the design of a large clinical trial testing SED reduction as a strategy to reduce APO risk.

TRIAL REGISTRATION

ClincialTrials.gov NCT05093842; https://clinicaltrials.gov/ct2/show/NCT05093842.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/48228.

Cross-sectional survey of attitudes and beliefs towards dementia risk reduction among Australian older adults

BACKGROUND

Little is known about what drives older adults' motivation to change their behaviour and whether that is associated with their personal dementia risk profile. Our aims were to (i) understand what sociodemographic factors are associated with older Australians' motivation to change behaviour to reduce their dementia risk, and (ii) explore the relationship between socio-demographic factors and motivation to reduce dementia risk with health- and lifestyle-based dementia risk scores in older adults.

METHODS

A cross-sectional online postal or telephone survey was administered to community-dwelling older adults in New South Wales, Australia between January and March 2021. Measures included socioeconomic status, locality, and health status, the Motivation to Change Lifestyle and Health Behaviours for Dementia Risk Reduction (MCLHB-DRR) scale and the lifestyle-based dementia risk score (LIBRA index). Multiple linear regression analyses were used to explore the associations for (i) sociodemographic factors and motivation to reduce dementia risk (MCLHB-DRR scales) and (ii) sociodemographic factors and motivation to reduce dementia risk with health- and lifestyle-based dementia risk (LIBRA index).

RESULTS

A total of 857 older adults (mean age 73.3 years, SD = 6.0, range 65-94; 70% women; 34.6% less than grade 6 education) completed the survey. Respondents reported high levels of motivation to adopt behaviour changes, agreeing on the importance of good health. Individuals who were younger were more likely to have greater motivation to modify lifestyle to reduce dementia risk and had higher perceived benefits to gain by adopting a healthy lifestyle. Dementia risk scores were moderately low (mean LIBRA index =- 2.8 [SD = 2.0], range - 5.9-3.8), indicating relatively moderate-to-good brain health. Men with low socioeconomic status and higher perceived barriers to lifestyle change had higher dementia risk scores.

CONCLUSIONS

Public health campaigns need to overcome motivational barriers to support reductions in dementia risk. A multifaceted and inclusive approach targeting both sociodemographic differences and impediments to brain healthy lifestyles is required to achieve genuine change.

TRIAL REGISTRATION

ACTRN12621000165886, Date of registration: 17/02/2021.

Dealing with Alcohol-Related Posts on Social Media: Using a Mixed-Method Approach to Understand Young Peoples' Problem Awareness and Evaluations of Intervention Ideas

Young individuals frequently share and encounter alcohol-related content (i.e., alcohol posts) on social networking sites. The prevalence of these posts is problematic because both the sharing of and exposure to these posts can increase young individuals' alcohol (mis)use. Consequently, it is essential to develop effective intervention strategies that hinder young individuals from sharing these posts. This study aimed to develop such intervention strategies by following four steps: (1) assessing young individuals' problem awareness of alcohol posts, (2) unraveling individuals' own intervention ideas to tackle the problem of alcohol posts, (3) examining their evaluations of theory/empirical-based intervention ideas, and (4) exploring individual differences in both problem awareness and intervention evaluations. To reach these aims, a mixed-method study (i.e., focus-group interviews and surveys) among Dutch high-school and college students (N_total = 292, Age_range = 16-28 years) was conducted. According to the results, most youth did not consider alcohol posts to be a problem and were, therefore, in favor of using automated warning messages to raise awareness. However, these messages might not work for every individual, as group differences in problem awareness and intervention evaluations exist. Overall, this study puts forward potential intervention ideas to reduce alcohol posts in digital spheres and can therefore serve as a steppingstone to test the actual effects of the ideas.

mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): rationale and study protocol for a pragmatic randomised controlled trial

BACKGROUND

The growing number of patients with type 2 diabetes and prediabetes is a major public health concern. Physical activity is a cornerstone of diabetes management and may prevent its onset in prediabetes patients. Despite this, many patients with (pre)diabetes remain physically inactive. Primary care physicians are well-situated to deliver interventions to increase their patients' physical activity levels. However, effective and sustainable physical activity interventions for (pre)diabetes patients that can be translated into routine primary care are lacking.

METHODS

We describe the rationale and protocol for a 12-month pragmatic, multicentre, randomised, controlled trial assessing the effectiveness of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED). Twenty-one general practices will recruit 340 patients with (pre)diabetes during routine health check-ups. Patients allocated to the active control arm will receive a Fitbit activity tracker to self-monitor their daily steps and try to achieve the recommended step goal. Patients allocated to the intervention arm will additionally receive the mHealth intervention, including the delivery of several text messages per week, with some of them delivered just in time, based on data continuously collected by the Fitbit tracker. The trial consists of two phases, each lasting six months: the lead-in phase, when the mHealth intervention will be supported with human phone counselling, and the maintenance phase, when the intervention will be fully automated. The primary outcome, average ambulatory activity (steps/day) measured by a wrist-worn accelerometer, will be assessed at the end of the maintenance phase at 12 months.

DISCUSSION

The trial has several strengths, such as the choice of active control to isolate the net effect of the intervention beyond simple self-monitoring with an activity tracker, broad eligibility criteria allowing for the inclusion of patients without a smartphone, procedures to minimise selection bias, and involvement of a relatively large number of general practices. These design choices contribute to the trial's pragmatic character and ensure that the intervention, if effective, can be translated into routine primary care practice, allowing important public health benefits.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT05351359, 28/04/2022).

Nutrition Education Models for Patients With Chronic Kidney Disease

Nutrition is an integral component in the management of chronic kidney disease (CKD), and kidney health professionals play a crucial role in educating patients on dietary interventions for CKD. Several dietary modifications are indicated for CKD that require frequent adaptations with CKD progression and with underlying metabolic disturbances. However, poor adherence to dietary interventions is not uncommon among patients with CKD. An effective education program on nutrition intervention consists of providing knowledge and developing skills that are necessary to support behavioral change. The application of theoretical models of behavioral change such as social cognitive theory and the transtheoretical model in nutrition intervention has been reported to be effective in promoting changes in dietary habits. This review summarizes the evidence supporting the application of theoretical models as strategies to enhance nutrition education for patients with CKD. In addition, digital technologies are gaining interest in empowering patients and facilitating nutrition management in patients with CKD. This review also examines the applications of the latest digital technologies guided by behavioral theory in facilitating patients' changes in dietary intake patterns and lifestyle habits.

Self-report and device-based physical activity measures and adherence to physical activity recommendations: a cross-sectional survey among people with inflammatory joint disease in four European countries

OBJECTIVES

Self-monitoring of physical activity (PA) has the potential to contribute to successful behaviour change in PA interventions in different populations, including people with inflammatory joint diseases (IJDs). The objectives of this study were to describe the use and knowledge of self-report-based and device-based PA measures in people with IJDs in four European countries, and to explore if the use of such devices, sociodemographic or disease-related variables were associated with adherence to the recommendations of at least 150 min of moderate to vigorous PA per week.

SETTING

Cross-sectional survey, performed in 2015-2016.

PARTICIPANTS

People with IJDs in Belgium, Denmark, Ireland and Sweden.

PRIMARY AND SECONDARY OUTCOME MEASURES

Use of self-report and device-based PA measures, receipt of instructions how to use PA measures, confidence in using them, adherence to PA recommendations and associated factors for adherence to PA recommendations.

RESULTS

Of the 1305 respondents answering questions on PA measures, 600 (46%) reported use of any kind of self-report or device-based measures to self-monitor PA. Between country differences of 34%-58% was observed. Six per cent and four per cent received instructions from health professionals on how to use simple and complex devices, respectively. Independent associated factors of fulfilment of recommendations of PA were living in Ireland (OR=84.89, p<0.001) and Sweden (OR=1.68, p=0.017) compared with living in Denmark, not perceiving activity limitations in moderate activities (OR=1.92, p<0.001) and using a device to measure PA (OR=1.56, p<0.001). Those living in Belgium (OR=0.21, p<0.001) were less likely to fulfil recommendations of PA.

CONCLUSIONS

Almost half of the participants with IJDs used self-report-based or deviced-based PA measures, although few used wearable devices regularly. The results indicate that participants meeting public PA health guidelines were engaged in self-monitoring of PA.

Exercise or not? An empirical illustration of the role of behavioral alternatives in exercise motivation and resulting theoretical considerations

Objective

Individuals' decisions to engage in exercise are often the result of in-the-moment choices between exercise and a competing behavioral alternative. The purpose of this study was to investigate processes that occur in-the-moment (i.e., situated processes) when individuals are faced with the choice between exercise and a behavioral alternative during a computerized task. These were analyzed against the background of interindividual differences in individuals' automatic valuation and controlled evaluation of exercise.

Method

In a behavioral alternatives task 101 participants were asked whether they would rather choose an exercise option or a behavioral alternative in 25 trials. Participants' gaze behavior (first gaze and fixations) was recorded using eye-tracking. An exercise-specific affect misattribution procedure (AMP) was used to assess participants' automatic valuation of exercise before the task. After the task, self-reported feelings towards exercise (controlled evaluation) and usual weekly exercise volume were assessed. Mixed effects models with random effects for subjects and trials were used for data analysis.

Results

Choosing exercise was positively correlated with individuals' automatic valuation (r = 0.20, p = 0.05), controlled evaluation (r = 0.58, p < 0.001), and their weekly exercise volume (r = 0.43, p < 0.001). Participants showed no bias in their initial gaze or number of fixations towards the exercise or the non-exercise alternative. However, participants were 1.30 times more likely to fixate on the chosen alternative first and more frequently, but this gaze behavior was not related to individuals' automatic valuation, controlled evaluation, or weekly exercise volume.

Conclusion

The results suggest that situated processes arising from defined behavioral alternatives may be independent of individuals' general preferences. Despite one's best general intention to exercise more, the choice of a non-exercise alternative behavior may seem more appealing in-the-moment and eventually be chosen. New psychological theories of health behavior change should therefore better consider the role of potentially conflicting alternatives when it comes to initiating physical activity or exercise.

Young Adults' Perceptions of 2 Publicly Available Digital Resources for Self-injury: Qualitative Study of a Peer Support App and Web-Based Factsheets

BACKGROUND

Digital resources have the potential to bridge the gaps in mental health services for young people who self-injure. Most research on digital resources for this population has involved observational studies of content in web-based communities or formative studies focused on the design and early evaluation of new interventions. Far less research has sought to understand young people's experiences with publicly available digital resources or to identify specific components of these resources that are perceived to be of value in their recovery.

OBJECTIVE

This study aimed to understand young people's experiences with 2 publicly available digital resources for self-injury-a peer support app and web-based factsheets-and to disentangle potential explanatory mechanisms associated with perceived benefits and harms.

METHODS

Participants were 96 individuals (aged 16-25 years) with nonsuicidal self-injury behavior in the past month, who recently completed a pilot randomized controlled trial designed to assess the efficacy of a peer support app as compared with web-based factsheets to reduce self-injury behavior. The trial showed that participants using the peer support app reported less self-injury behavior relative to those receiving the web-based factsheets over 8 weeks. In this study, we used a conventional approach to content analysis of responses to 2 open-ended questions delivered at the end of the trial with the aims of exploring participants' overall experiences with these resources and identifying the qualities of these resources that were perceived to be beneficial to or harmful for participants' recovery.

RESULTS

Overall, participants were more likely to report benefits than harms. Participants who used the peer support app reported more harms than those who received the web-based factsheets. In the open coding phase, clear benefits were also derived from repeated weekly surveys about self-injury. Key benefits across digital resources included enhanced self-knowledge, reduction in self-injury activity, increased outreach or informal conversations, improved attitudes toward therapy, improved mood, and feeling supported and less alone. Key challenges included worsened or unchanged self-injury activity, diminished mood, and increased barriers to outreach. The most prominent benefit derived from the web-based factsheets and weekly surveys was improved self-understanding. However, the way this manifested differed, with factsheets providing insight on why participants engage in self-injury and the function it serves them and surveys making the frequency and severity of participants' behaviors more apparent. The benefits perceived from using the peer support app were general improvements in mood and feeling less alone.

CONCLUSIONS

Findings contribute a nuanced understanding of young people's experiences with these digital resources and have implications for the optimization of existing platforms and the design of novel resources to support individuals who self-injure.

Digital Health Behavioural Interventions to Support Physical Activity and Sedentary Behaviour in Adults after Stroke: A Systematic Literature Review with Meta-Analysis of Controlled Trials

Background: As the global prevalence of stroke continues to rise, it becomes increasingly pressing to investigate digital health behaviour change interventions that promote physical activity and reduce sedentary behaviour for stroke patients to support active lifestyles. Purpose: The primary aim of this study is to investigate the effectiveness of digital health interventions in promoting physical activity and reducing sedentary behaviour for stroke patients. The secondary aim is to investigate the intervention components that explain intervention effectiveness to further inform intervention development and policy making. Methods: A systematic search of the literature was conducted in four databases (Scopus, MEDLINE (PubMed), Web of Science, and PsychINFO) to identify the most robust evidence in the form of randomised controlled trials of digital interventions for patients with stroke. A random-effects meta-analysis were utilized to quantify the intervention effects on behaviour change, and subgroup analyses to characterise intervention effective components. Results: In total, 16 RCTs were deemed eligible and included in the systematic review. Meta-analyses suggested significant improvements in physical activity (SMD = 0.39, 95% CI 0.17, 0.61, N = 326, p < 0.001, I2 = 0%), and reductions in time of sedentary behaviour (SMD= −0.45, 95% CI −0.76, -0.14, N = 167, p = 0.00, I2 = 0%) after stroke. The 10 m walk test for physical activity, and the timed up and go test for sedentary behaviour, were the objective outcome measures in the most effective behavioural change interventions. Subgroup analyses found that most effective interventions were underpinned by theories of self-regulation and utilised interactive functions to engage patients with the processes of behaviour change. Conclusions: Digital self-monitoring behavioural interventions are effective in promoting physical activity for stroke patients in adjunct to usual care clinical practice and rehabilitation programmes. Rigorous studies are required to provide evidence to disentangle the most effective intervention components for preventative practices and rehabilitation programs and to inform policymaking for stroke treatment.

Adherence to unsupervised exercise in sedentary individuals: A randomised feasibility trial of two mobile health interventions

Introduction

Adherence to unsupervised exercise is poor, yet unsupervised exercise interventions are utilised in most healthcare settings. Thus, investigating novel ways to enhance adherence to unsupervised exercise is essential. This study aimed to examine the feasibility of two mobile health (mHealth) technology-supported exercise and physical activity (PA) interventions to increase adherence to unsupervised exercise.

Methods

Eighty-six participants were randomised to online resources (n = 44, females n = 29) or MOTIVATE (n = 42, females n = 28). The online resources group had access to booklets and videos to assist in performing a progressive exercise programme. MOTIVATE participants received exercise counselling sessions supported via mHealth biometrics which allowed instant participant feedback on exercise intensity, and communication with an exercise specialist. Heart rate (HR) monitoring, survey-reported exercise behaviour and accelerometer-derived PA were used to quantify adherence. Remote measurement techniques were used to assess anthropometrics, blood pressure, HbA1c and lipid profiles.

Results

HR-derived adherence rates were 22 ± 34% and 113 ± 68% in the online resources and MOTIVATE groups, respectively. Self-reported exercise behaviour demonstrated moderate (Cohen's d = 0.63, CI = 0.27 to 0.99) and large effects (Cohen's d = 0.88, CI = 0.49 to 1.26) in favour of online resources and MOTIVATE groups, respectively. When dropouts were included, 84% of remotely gathered data were available, with dropouts removed data availability was 94%.

Conclusion

Data suggest both interventions have a positive impact on adherence to unsupervised exercise but MOTIVATE enables participants to meet recommended exercise guidelines. Nevertheless, to maximise adherence to unsupervised exercise, future appropriately powered trials should explore the effectiveness of the MOTIVATE intervention.

User experiences of an app-based mHealth intervention (MINISTOP 2.0) integrated in Swedish primary child healthcare among Swedish-, Somali- and Arabic-speaking parents and child healthcare nurses: A qualitative study

Background

Preventive and scalable interventions, accessible to all, to counteract childhood obesity are urgently needed. We have recently developed a novel, digital parental intervention (MINISTOP 2.0 app) available in Swedish, Somali, Arabic and English. We have previously reported its positive effects on children's health behaviors and on parental self-efficacy. However, before introducing the app at scale in primary child healthcare, implementation aspects also need to be explored.

Aim

This study aims to explore and describe user experiences as well as acceptability and feasibility of the MINISTOP 2.0 app-based intervention in a diverse group of parents (end-users) and Swedish child healthcare nurses (implementers).

Methods

Individual interviews were conducted with Swedish- (n = 9), Somali- (n = 9), Arabic- (n = 5) and English-speaking (n = 1) parents as well as Swedish primary child healthcare nurses (n = 15). Data was analyzed using content analysis with an inductive latent approach.

Results

Parents described how the app facilitated behavior change through increased awareness regarding current diet and physical activity behaviors. Furthermore, the evidence-based app content further facilitated trust and behavior change. Both parents and nurses acknowledged the app's preventive potential and the potential for reaching parents with diverse backgrounds or in need of extra support.

Conclusion

The MINISTOP 2.0 app was perceived as a useful tool for health promotion both by parents and healthcare professionals, especially since it was adapted to several languages. These findings coupled with the previously shown beneficial effects on health behaviors support the large-scale implementation of the app in primary child healthcare.

An Online Shared Decision-making Intervention for Dementia Prevention: A Parallel-group Randomized Pilot Study

OBJECTIVES

Evaluate the acceptability and efficacy of an online dementia prevention intervention based on a cognitive behavioral shared decision-making model.

MATERIALS AND METHODS

This was an unblinded pilot study in which participants were randomly assigned to one of two treatment groups. This study was carried out remotely via telephone, video conferencing, and online data collection. Eighteen English-speaking persons 40 years of age and older interested in developing more brain-healthy lifestyles. Both groups received 12 weekly sessions on lifestyle factors related to cognitive decline. The treatment-as-usual (TAU) group received the information and was encouraged to make lifestyle changes. The cognitive behavioral shared decision- making model (CBSDM) group received structured weekly sessions with support for evidence- informed personal goal choices and behavior change strategies. Primary outcome measures were the Alzheimer's Disease Risk Inventory and the Memory Self-Efficacy and Dementia Knowledge Assessment Scales. Participants reported brain health activities during the first, sixth, and 12th weeks of the study.

RESULTS

No significant between-group changes were seen in the three primary outcome measures. The intervention was viewed positively by participants, who all said they would participate in it again. Participants in the CBSDM group showed increases in knowledge of dementia risk factors and exercise. Other outcomes were consistent with moderate to large effect sizes for both groups.

CONCLUSION

An online intervention providing psychoeducation and behavior change support was viewed positively by older adults. Results provide preliminary support for the CBSDM intervention's efficacy in promoting brain health in older adults.

CLINICAL TRIAL REGISTRATION NUMBER

NCT04822129.

The Impact of Nurse Health-Coaching Strategies on Cognitive-Behavioral Outcomes in Older Adults

The practice of nurse health coaching (NHC) draws from the art and science of nursing, behavioral sciences, and evidence-based health-coaching methods. This secondary analysis of the audio-recorded natural language of participants during NHC sessions of our recent 8-week RCT evaluates improvement over time in cognitive−behavioral outcomes: change talk, resiliency, self-efficacy/independent agency, insight and pattern recognition, and building towards sustainability. We developed a measurement tool for coding, Indicators of Health Behavior Change (IHBC), that was designed to allow trained health-coach experts to assess the presence and frequency of the indicators in the natural language content of participants. We used a two-step method for randomly selecting the 20 min audio-recorded session that was analyzed at each time point. Fifty-six participants had high-quality audio recordings of the NHC sessions. Twelve participants were placed in the social determinants of health (SDH) group based on the following: low income (<USD 20,000/year), early-onset hypertension, and social disadvantages. Our analyses significantly improved change talk and the other four factors over time. Our factor analyses indicated two distinct factors at each measurement point of the study, demonstrating the stability of the outcome measures over time. Our newly developed measurement tool, IHBC, proved stable in structure over time and sensitive to change. This NHC program shows promise in improving cognitive−behavioral indicators associated with health behavior change in both non-SDH and SDH individuals.

Telemedicine Interventions as an Attempt to Improve the Mental Health of Populations during the COVID-19 Pandemic-A Narrative Review

Published reports indicate the need for psychological interventions and the integration of psychiatric care into crisis management plans in people with mental health issues caused by the COVID-19 pandemic. It seems crucial to identify the root causes of the health-social-economic crisis and identify potential opportunities for widely implemented psychological assistance. This narrative literature review aims to identify the types of interventions deployed as telemedicine-based mental health support and their effectiveness. The PubMed and Web of Science electronic databases were searched. From a total of 48 articles, 46 were analysed after removing duplicates. From these, thirty-seven records were excluded according to the inclusion criteria and nine (eight RCT and one cross-over) were assessed as full texts. The included publications were randomised clinical trials or cross-over studies focused on remote mental support interventions. In all studies, participants represented both sexes and had an average age range of 6-64. Studies included participants from seven countries and the overall number of participants in the included studies was 687. The content of these intervention programmes includes both established psychotherapeutic programmes, as well as new interventions. Remote support was implemented through three approaches: phone/video calls, mobile applications, and internet-based programs. The results of the included studies indicate a higher or equal efficacy of telemedicine interventions compared to traditional forms. The review also revealed a relatively wide range of targeted research groups: from children with social anxiety through to their caregivers; adolescents with neurological disorders; and from college students to adults with psychiatric or orthopaedic disorders. Analysis of the included papers found that telemedicine interventions show promising results as an attempt to improve population mental health during the COVID-19 pandemic.

Application of the Updated WCRF/AICR Cancer Prevention Score as an Outcome for Cancer Survivors Participating in a Tailored and Intensive Dietary and Physical Activity Intervention

The World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) has defined evidence-based guidelines for cancer prevention. These recommendations have been operationalized into a quantitative index for individual assessment. Survivors of cancer are increasingly desiring guidance for diet and lifestyle, and in the absence of research in survivors, are often instructed to follow cancer prevention and public health guidelines. In this study, we examine the utility of the quantitative updated WCRF/AICR scoring criteria to assess change among cancer survivors with overweight/obesity (OW/OB) following an intensive behavioral intervention. We applied the WCRF/AICR scoring criteria (range 0−7) to examine changes over the duration of the study by paired t-tests. Two cancer survivor cohorts with OW/OB (n = 91) completed a six-month phase II clinical trial designed to improve dietary and physical activity patterns. At enrollment and post-intervention, participants completed assessments including anthropometrics, food frequency questionnaires, and objective evaluation of physical activity. Participants improved adherence to all scored recommendations, with a significant increase in mean score from enrollment (3.22 ± 1.06) to post-intervention (4.28 ± 1.04) (p < 0.001). Mean BMI and waist circumference improved (both p < 0.001). The greatest improvements were noted for fruit and non-starchy vegetable intakes (+39%, p < 0.001); the greatest decreases were observed for processed meat consumption (−70%, p < 0.001). The updated WCRF/AICR Score can be applied to cancer survivor intervention studies and provides a tool to compare trials in regard to the baseline status of populations enrolled and the success of the intervention. Future interventions incorporating standardized assessments will help guide effective strategies to improve the health and quality of life for cancer survivors.

Do physical activity interventions combining self-monitoring with other components provide an additional benefit compared with self-monitoring alone? A systematic review and meta-analysis

Objective

To determine the net effect of different physical activity intervention components on step counts in addition to self-monitoring.

Design

A systematic review with meta-analysis and meta-regression.

Data sources

Five databases (PubMed, Scopus, Web of Science, ProQuest and Discus) were searched from inception to May 2022. The database search was complemented with backward and forward citation searches and search of the references from relevant systematic reviews.

Eligibility criteria

Randomised controlled trials comparing an intervention using self-monitoring (active control arm) with an intervention comprising the same treatment PLUS any additional component (intervention arm).

Data extraction and synthesis

The effect measures were mean differences in daily step count. Meta-analyses were performed using random-effects models, and effect moderators were explored using univariate and multivariate meta-regression models.

Results

Eighty-five studies with 12 057 participants were identified, with 75 studies included in the meta-analysis at postintervention and 24 at follow-up. At postintervention, the mean difference between the intervention and active control arms was 926 steps/day (95% CI 651 to 1201). At a follow-up, the mean difference was 413 steps/day (95% CI 210 to 615). Interventions with a prescribed goal and involving human counselling, particularly via phone/video calls, were associated with a greater mean difference in the daily step count than interventions with added print materials, websites, smartphone apps or incentives.

Conclusion

Physical activity interventions that combine self-monitoring with other components provide an additional modest yet sustained increase in step count compared with self-monitoring alone. Some forms of counselling, particularly remote phone/video counselling, outperformed other intervention components, such as websites and smartphone apps.

PROSPERO registered number

CRD42020199482.

Study protocol for the description and evaluation of the "Habit Coach" - a longitudinal multicenter mHealth intervention for healthy habit formation in health care professionals

BACKGROUND

The adoption of a healthy lifestyle plays a crucial role for the health and well-being of health care professionals. Previous e- and mHealth interventions relied on deliberative psychological processes (e.g., intention, planning) to target lifestyle changes, while revealing mixed efficacy. The additional potential of non-deliberative, automatic processes (i.e., habits) for behavior change has been understudied in interventions so far. The Habit Coach mHealth intervention combines deliberative and non-deliberative processes to support health care professionals in forming healthy physical activity, nutrition and mindfulness habits in daily life. The aim of this paper is to outline the study protocol including a detailed description of the mHealth intervention, evaluation plan, and study design. The purpose of this trial is to understand healthy habit formation in health care professionals over time.

METHODS

A one-arm, multicenter mHealth intervention study will be conducted. Behavioral and psychosocial predictors will be collected via within-app questionnaires across a 100-day period at baseline, post, as well as at weekly assessments. To understand habit formation across time, linear mixed models will be used.

DISCUSSION

This trial aims to unravel the role of motivational and volitional determinants for healthy habit formation across multiple health behaviors in health care professionals embedded in a mHealth intervention.

TRIAL REGISTRATION

This trial is registered in the German Clinical Trials Register, DRKS-ID DRKS00027156. Date of registration 17 November 2021.

Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression

Background

Smartphone apps are increasingly used to deliver physical activity and sedentary behaviour interventions for people with cardiovascular disease. However, the active components of these interventions which aim to change behaviours are unclear.

Aims

To identify behaviour change techniques used in smartphone app interventions for improving physical activity and sedentary behaviour in people with cardiovascular disease. Secondly, to investigate the association of the identified techniques on improving these behaviours.

Methods

Six databases (Medline, CINAHL Plus, Cochrane Library, SCOPUS, Sports Discus, EMBASE) were searched from 2007 to October 2020. Eligible studies used a smartphone app intervention for people with cardiovascular disease and reported a physical activity and/or sedentary behaviour outcome. The behaviour change techniques used within the apps for physical activity and/or sedentary behaviour were coded using the Behaviour Change Technique Taxonomy (v1). The association of behaviour change techniques on physical activity outcomes were explored through meta-regression.

Results

Forty behaviour change techniques were identified across the 19 included app-based interventions. Only two studies reported the behaviour change techniques used to target sedentary behaviour change. The most frequently used techniques for sedentary behaviour and physical activity were habit reversal and self-monitoring of behaviour respectively. In univariable analyses, action planning (β =0.42, 90%CrI 0.07–0.78) and graded tasks (β =0.33, 90%CrI -0.04-0.67) each had medium positive associations with increasing physical activity. Participants in interventions that used either self-monitoring outcome(s) of behaviour (i.e. outcomes other than physical activity) (β = − 0.47, 90%CrI -0.79--0.16), biofeedback (β = − 0.47, 90%CrI -0.81--0.15) and information about health consequences (β = − 0.42, 90%CrI -0.74--0.07) as behaviour change techniques, appeared to do less physical activity. In the multivariable model, these predictors were not clearly removed from zero.

Conclusion

The behaviour change techniques action planning and graded tasks are good candidates for causal testing in future experimental smartphone app designs.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01319-8.

mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis

BACKGROUND

Research into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research has been published showing the research trend in this field.

OBJECTIVE

The purpose of this study was to provide a dynamic and longitudinal bibliometric analysis of recent trends of mHealth research for weight loss, physical activity, and sedentary behavior.

METHODS

A comprehensive search was conducted through Web of Science to retrieve all existing relevant documents published in English between January 1, 2010, and November 1, 2021. We developed appropriate research questions; based on the proven bibliometric approaches, a search strategy was formulated to screen the title for eligibility. Finally, we conducted bibliometric analyses to explore the growth rate of publications; publication patterns; and the most productive authors, institutions, and countries, and visualized the trends in the field using a keyword co-occurrence network.

RESULTS

The initial search identified 8739 articles, of which 1035 were included in the analyses. Our findings show an exponential growth trend in the number of annual publications of mHealth technology research in these fields. JMIR mHealth and uHealth (n=214, 20.67%), Journal of Medical Internet Research (n=71, 6.86%), and BMC Public Health (n=36, 3.47%) were the top 3 journals, publishing higher numbers of articles. The United States remained the leading contributor in these areas (n=405, 39.13%), followed by Australia (n=154, 14.87%) and England (n=125, 12.07%). Among the universities, the University of Sydney (n=36, 3.47%) contributed the most mHealth technology research in these areas; however, Deakin University (n=25, 2.41%) and the National University of Singapore (n=23, 2.22%) were in the second and third positions, respectively.

CONCLUSIONS

Although the number of papers published on mobile technologies for weight loss, physical activity, and sedentary behavior was initially low, there has been an overall increase in these areas in recent years. The findings of the study indicate that mobile apps and technologies have substantial potential to reduce weight, increase physical activity, and change sedentary behavior. Indeed, this study provides a useful overview of the publication trends and valuable guidance on future research directions and perspectives in this rapidly developing field.

A systematic review of interventions to increase physical activity and reduce sedentary behaviour following bariatric surgery

Background

Objectives

Eligibility

Study appraisal and synthesis methods

Results

Limitations

Conclusion and implications of key findings

Systematic review registration number

Validation of a Modified Version of the German Sedentary Behavior Questionnaire

Background: Physical inactivity and excessive sedentary behavior (SB) are growing public health issues that require surveillance, guidelines, and targeted interventions. In addition to a variety of sophisticated technical methods, questionnaires are still an attractive method for quick, easy, comprehensive, and cost-effective estimation of SB. The aim of this study was to validate a modified version of the widely used Sedentary Behavior Questionnaire (SBQ) compared to waist-worn accelerometers as an objective measurement. Contemporary explanations covering the use of smart devices have been added to the original instrument, and sitting while handwriting was explicated in more detail. Methods: Cross-sectional data from an adult sample (n = 64, 20−85 y, 25 m, 39 f) were used in this first validation study. Based on prior investigations of the SBQ, analyses were conducted in a gender-specific manner. Criterion validity was assessed using Spearman’s Rho coefficients. The Bland−Altman method was used to test the agreement between self-reported and accelerometer-measured SB time. Results: Using the modified SBQ (mSBQ), a significant gender difference in weekly sedentary time was found. Women estimated their sedentary time to be almost 50% higher than men (median 74.5 h vs. 51.0 h). No correlation was found between the questionnaire and accelerometer data for both subgroups (rho ≤ 0.281, p ≥ 0.174). Individual differences in daily SB estimation between both methods (in relation to accelerometry) were +3.82 h ± 4.36 h for women and +0.48 h ± 2.58 h for men (p < 0.001). Conclusion: The modifications to the SBQ did not improve the correlation between self-assessment of SB and objective determination. The reasons for the presented gender-specific overestimation of the participants’ own sedentary time, which contradicts the findings of other studies, remain unclear and need to be investigated further.

Healthy Lifetime (HL): An Internet-Based Behavioral Health Coaching Protocol for Older Adults

By 2060, the number of Americans 65 years and older will more than double, comprising nearly one-quarter of the population in the United States. While there are many advantages to living longer, a byproduct of aging is also a growing incidence of chronic illness and functional health limitations associated with a concurrent rise in chronic disease and disability that impair independent living in the community. We describe a personalized, behavioral health coaching protocol for early intervention that is delivered online to enhance a participant's independent functioning and to increase their self-care capacity with a goal to maintain independent living throughout aging. The electronic platform provides secure access to fillable surveys, health tracking, “just in time” communication with coaches and scheduling of two-way videos launched from the platform site. The 2-month protocol used two-way video conferencing which allowed high fidelity communication to sustain a complex behavioral intervention. Participants indicate high satisfaction with the intervention, the use of the platform, and the technology. While many health systems across the U.S. have ramped up virtual delivery of care in a proactive manner with now more than 70% of out-patient visits conducted through virtual delivery modes in some health systems, there remains much unevenness in this capability across the U.S. Our approach is to create a stable, interoperable, virtual outreach system for personalized professional health coaching that is complementary to medically oriented services that supports the health and functioning of participants as they age.

mHealth-Supported Interventions With Potential to Address Sedentary Behavior in Older Adults: A Scoping Review

Sedentary behavior (SB) is an independent risk for negative health outcomes in older adults. Mobile health (mHealth) technology has potential to address SB in this population. This scoping review aimed to describe, synthesize, and identify gaps in literature on mHealth-supported interventions with potential to reduce sedentariness in older people. Following an iterative search of five major databases, 13 studies were included in the final review. Only three papers described SB-related factors as the primary target of intervention. mHealth-Driven components were frequently paired with nonmobile approaches and aided self-regulation of physical activity as opposed to SB. Most SB-related outcomes were not statistically significant or were inconclusive. This scoping review revealed a paucity of research applying mHealth-supported approaches to directly overcome sedentariness in older people. Protocol studies included in the review provide evidence that efforts to address this research gap continue to be made, but the need for additional high-quality research remains.

Physical Activity Patterns among Individuals with Prediabetes or Type 2 Diabetes across Two Years-A Longitudinal Latent Class Analysis

Background: This study aimed to identify distinct profiles of physical activity (PA) patterns among individuals with prediabetes or type 2 diabetes participating in a two-year PA trial and to investigate predictors of the profiles. Methods: Data (n = 168, collected 2013–2020) from the cohort of a randomized trial aimed at increasing PA in individuals with prediabetes and type 2 diabetes were used. PA and sedentary behaviours were assessed by waist-worn ActiGraph GT1M accelerometers at baseline and at 6, 12, 18 and 24 months. Fifteen PA and sedentary variables were entered into a latent class mixed model for multivariate longitudinal outcomes. Multinominal regression analysis modelled profile membership based on baseline activity level, age, gender, BMI, disease status and group randomisation. Results: Two profiles of PA patterns were identified: “Increased activity” (n = 37, 22%) included participants increasing time in PA and decreasing sedentary time. “No change in activity” (n = 131, 78%) included participants with no or minor changes. “Increased activity” were younger (p = 0.003) and more active at baseline (p = 0.011), compared to “No change in activity”. No other predictor was associated with profile membership. Conclusions: A majority of participants maintained PA and sedentary patterns over two years despite being part of a PA intervention. Individuals improving PA patterns were younger and more active at baseline.

Behavior Change Techniques and Delivery Modes in Interventions Targeting Adolescent Gambling: A Systematic Review

BACKGROUND

Adolescent gambling can lead to significant harms, yet participation rates continue to rise. Interventions targeting gambling reduction have been implemented in this population. However, it is not clear which behavior change techniques (BCTs) and modes of delivery (MOD) are most effective at reducing gambling.

OBJECTIVE

The objective of the study was to identify 'promising' BCTs and MODs by systematically reviewing interventions targeting adolescent gambling behavior. 'Promising' was defined as those present in at least 25% of all interventions and in at least two effective interventions.

METHODS

Three databases were searched (PsycINFO, Medline, and Scopus) from database inception to May 2021. Interventions were eligible if they were randomized controlled trials; targeting adolescents (aged 10-25 years); and assessing gambling behavior post-intervention. BCTs were identified using the Behavior Change Technique Taxonomy v1.

RESULTS

From the initial 3,315 studies, the removal of duplicates and ineligible articles resulted in sixteen studies included in the review. Eleven of these reported successfully reducing gambling behavior. Eighteen BCTs and six MODs were used across the interventions. The BCTs identified as promising were '4.2. Information about antecedents', '4.4. Behavioral experiments', '5.3. Information about social and environmental consequences', and '5.6. Information about emotional consequences'. Promising MODs were 'face-to-face', 'computer', and 'playable electronic storage'.

CONCLUSIONS

The study reviewed the content of interventions targeting adolescent gambling behavior. Four BCTs were identified as promising and should therefore be adopted in future interventions. To facilitate the delivery of these techniques, the study also identified three promising MODs. Interventions developed using these BCTs and MODs may successfully reduce adolescent gambling behavior.

Getting Active Mindfully: Rationale and Case Illustration of a Group Mind-body and Activity Program for Chronic Pain

Chronic pain is associated with substantial decreases in physical and emotional health. Psychosocial and physical restoration interventions, although potentially helpful, typically show small-to-moderate improvements that are limited to the short term, and often exhibit problematic adherence. Here, we present GetActive-Fitbit, a novel 10-week group program that integrates mind-body skills, pain coping and gradual increases in activity reinforced by a commercially available digital monitoring device (Fitbit). We illustrate the program among a group of 4 adults with heterogeneous chronic pain. We also highlight pre to post-program improvements in physical function (objective, performance-based and self-report), emotional function (depression and anxiety) and other relevant outcomes targeted by the program (e.g., pain intensity, catastrophizing, mindfulness, coping, kinesiophobia, emotional support, social isolation, pain resilience, program satisfaction and impression of change). Group participants' experiences suggest that GetActive-Fitbit is credible, useful, and shows potential to improve physical and emotional function among this challenging population.Clinical trial number: NCT03412916.

Intervening on physical activity and sedentary behavior in older adults

Participating in sufficient levels of physical activity is important for sustaining health and quality of life across the age span. The United States Physical Activity Guidelines recommend individuals of all ages "move more, more often" by frequently engaging in aerobic activity while avoiding prolonged bouts of sitting. This is indicative of a slow shift in focus in the study of active aging that has occurred in the last two decades. Historically, researchers interested in the influence of physical activity on older adults' health and quality of life focused on discrete sustained bouts of intense activity (i.e., structured exercise). More recently the widespread usage of accelerometers contributed to a large body of evidence demonstrating that long periods spent sedentary were associated with a host of negative health outcomes ranging from poorer cardiometabolic health to poorer physical functioning and elevated risk of death. These findings often persisted when controlling for time spent in higher-intensity physical activity, spurring separate fields of intervention research concerned with promoting exercise or reducing sedentary time. Novel data emerging in recent years on the importance of an individual's overall activity profile (i.e., amount and patterning of light and moderate-to-vigorous activity) has driven yet another shift in focus toward interventions focused explicitly on movement profiles. In this narrative review, we discuss the evolution of thought regarding older adults' physical activity behaviors. We highlight successes and challenges in first promoting structured and prolonged exercise, later in targeting sedentary behavior, and most recently in attempting to intervene on activity profiles. We end our review by highlighting current gaps in research and important future directions.

Sedentary Behavior Counseling Intervention in Aging People With Type 2 Diabetes: A Feasibility Study

This study examined the feasibility and effect of sedentary behavior (SB) counseling on total sitting time (TST) and glycemic control in people with type 2 diabetes (T2D). Community-dwelling sedentary adults with T2D (n = 10; 8 women; age 65.6 ± 7.31) completed SB counseling (motivational interviewing-informed education about SB) aided by an activity monitor with a vibrotactile feature (activPAL3TM). The monitor was worn for 7 days, on weeks 1 and 13 (without the vibrotactile feature) and during weeks 5 and 9 (with the vibrotactile feature). Intervention feasibility was determined by study retention rates and activity monitor tolerability, and differences between pre- and post-intervention average daily TST. Paired t-test were performed. The effect size (ES) was calculated using Cohen d. All participants attended all study sessions with only 20% reporting moderate issues tolerating the activity monitor. TST time decreased from 11.8 hours ± 1.76 at baseline to 10.29 hours ± 1.84 at 3 months’ assessment (P < .05) with a large ES (Cohen d = .88). HbA1c was decreased by 0.51% (P < .05) at the end of the intervention. This study found that the intervention was feasible for sedentary adults with type 2 diabetes.

The Influence of Social Distancing Behaviors and Psychosocial Factors on Physical Activity During the COVID-19 Pandemic: Cross-sectional Survey Study

Background

The COVID-19 pandemic has arguably facilitated a shift toward increased sedentariness and reduced physical activity. Moreover, there is mounting evidence that mental health has also declined during the pandemic. However, it remains unknown to what extent social distancing (SD) behaviors and mental health have affected the physical activity levels of the general population.

Objective

The purpose of this study was to determine the influence of SD behaviors and prevailing mental health on the odds of being physically active during the early COVID-19 pandemic response.

Methods

A total of 4819 adults (2474/4819, 51.3%, female) from the US population with a median age of 46 (IQR 35-59) completed an online survey during the early pandemic response (April-June 2020). The survey included questions on adherence to 11 SD behaviors, and validated questionnaires which assessed self-reported physical activity, depression, anxiety, and mental well-being. Respondents were categorized into 2 physical activity groups: inactive (0-599 metabolic equivalent of task [MET]-minutes/week) and active (≥600 MET-minutes/week). A logistic generalized additive model (GAM) was used to determine which SD factors and mental health outcomes were associated with physical activity level.

Results

The GAM analysis revealed that wearing a facemask in public (odds ratio [OR] 1.46, 95% CI 1.14-1.79; P=.003), limiting the use of public transport (OR 1.47, 95% CI 1.19-1.83; P=.001), and restricting travel outside the house (OR 1.56, 95% CI 1.19-2.05; P=.002) were SD behaviors associated with higher odds of being more physically active. Conversely, avoiding physical activity outside the house was associated with higher odds of being inactive (OR 0.52, 95% CI 0.46-0.63; P<.001). Leaving the house more frequently, and a higher mental well-being were associated with increasing odds of being physically active (P<.001). Engaging with a moderate number of SD behaviors (3-7 total) was positively associated with physical activity, whereas a very high SD vigilance (ie, engaging with ≥10 total behaviors) decreased the odds of being active during the early pandemic response.

Conclusions

Based on the findings of our study, we suggest that future public health messaging of SD guidelines should include (1) a clear portrayal of the benefits of regular exercise on mental health; and (2) a specific focus on how to be physically active outdoors in a COVID-safe manner.

Older Women's Experiences of a Community-Led Walking Programme Using Activity Trackers

Promoting physical activity amongst older adults represents a major public health goal and community-led exercise programmes present benefits in promoting active lifestyles. Commercial activity trackers potentially encourage positive behaviour change with respect to physical exercise. This qualitative study investigated the experiences and attitudes of older adults following a 6-week community-led walking programme utilising activity trackers. Eleven community-dwelling older women aged 60+ completed individual phone interviews following their involvement in the programme. The programme, codesigned with a group of senior citizens, equipped participants with wrist-worn activity trackers and included biweekly check-in sessions with a researcher to monitor progress and support motivation. Interviews explored participants’ experiences of the programme and of using activity trackers for the purpose of becoming more active. A thematic analysis produced three main themes: ‘programme as a source of motivation’, ‘user experiences with the technology’ and ‘views on social dimension of the programme’. Overall, participants highlighted the self-monitoring function of activity trackers as most beneficial for their exercise levels. This study provides insights into the personal and social factors perceived by older adults in relation to being part of a community-led programme using activity trackers. It highlights the role of the programme and trackers in maintaining motivation to stay active.

Efficacy, characteristics, behavioural models and behaviour change strategies, of non-workplace interventions specifically targeting sedentary behaviour; a systematic review and meta-analysis of randomised control trials in healthy ambulatory adults

BACKGROUND

Sedentary behaviour (SB) research has grown exponentially but efficacy for interventions to reduce sedentary behaviour is often contaminated by interventions primarily or co-targeting other behaviours and outcomes. The primary aim of this research therefore, was to systematically review the efficacy of interventions specifically targeting sedentary behaviour reduction, as a sole primary outcome, from randomised control trials in healthy ambulatory adults. This research also sought to identify the successful interventions characteristics, behaviour change techniques (BCT's) and underlying theories, and their relation to intervention effectiveness.

METHODS

We followed PRISMA reporting guidelines for this systematic review. Six electronic databases were searched and a grey literature review conducted. Only randomised or cluster randomised controlled trials, from 2000 to 2020, in adult populations with a sole primary outcome of change in sedentary behaviour were included. Data codebooks were developed, data were extracted, and a narrative synthesis and meta-analysis was conducted using mixed methods random effects models.

RESULTS

Of 5589 studies identified, 7 studies met the inclusion criteria. Six studies reported activPAL3 measures of mean daily sitting time, and four reported mean daily standing time, stepping time and number of sedentary breaks. Pooled analysis of weighted mean differences revealed a reduction in mean daily sitting time of -32.4mins CI (-50.3, -14.4), an increase in mean daily standing time of 31.75mins CI (13.7, 49.8), and mean daily stepping time of 9.5mins CI (2.8, 16.3), and an increase in rate of sedentary breaks per day of 3.6 (CI 1.6, 5.6). BCTs used exclusively in two of the three most effective interventions are 'feedback on behaviour' and 'goal setting behaviour' whilst all three most effective interventions included 'instruction on how to perform the behaviour' and 'adding objects to the environment', BCTs which were also used in less effective interventions.

CONCLUSIONS

Although limited by small sample sizes and short follow up periods, this review suggests that interventions specifically designed to change sedentary behaviour, reduce overall daily sitting time by half an hour, with an equivalent increase in standing time, in the short to medium term. Effective characteristics and behaviour change strategies are identified for future development of high quality interventions targeting change in sedentary behaviour.

PROSPERO REGISTRATION

PROSPERO 2020 CRD42020172457 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020172457.

Effectiveness of a reablement training program for homecare staff on older adults' sedentary behavior: A cluster randomized controlled trial

BACKGROUND/OBJECTIVES

Homecare staff often take over activities instead of "doing activities with" clients, thereby hampering clients from remaining active in daily life. Training and supporting staff to integrate reablement into their working practices may reduce clients' sedentary behavior and improve their independence. This study evaluated the effectiveness of the "Stay Active at Home" (SAaH) reablement training program for homecare staff on older homecare clients' sedentary behavior.

DESIGN

Cluster randomized controlled trial (c-RCT).

SETTING

Dutch homecare (10 nursing teams comprising a total of 313 staff members).

PARTICIPANTS

264 clients (aged ≥65 years).

INTERVENTION

SAaH seeks to equip staff with knowledge, attitude, and skills on reablement, and to provide social and organizational support to implement reablement in homecare practice. SAaH consists of program meetings, practical assignments, and weekly newsletters over a 9-month period. The control group received no additional training and delivered care as usual.

MEASUREMENTS

Sedentary behavior (primary outcome) was measured using tri-axial wrist-worn accelerometers. Secondary outcomes included daily functioning (GARS), physical functioning (SPPB), psychological functioning (PHQ-9), and falls. Data were collected at baseline and at 12 months; data on falls were also collected at 6 months. Intention-to-treat analyses using mixed-effects linear and logistic regression were performed.

RESULTS

We found no statistically significant differences between the study groups for sedentary time expressed as daily minutes (adjusted mean difference: β 18.5 (95% confidence interval [CI] -22.4, 59.3), p = 0.374) and as proportion of wake/wear time (β 0.6 [95% CI -1.5, 2.6], p = 0.589) or for most secondary outcomes.

CONCLUSION

Our c-RCT showed no evidence for the effectiveness of SAaH for all client outcomes. Refining SAaH, by adding components that intervene directly on homecare clients, may optimize the program and require further research. Additional research should explore the effectiveness of SAaH on behavioral determinants of clients and staff and cost-effectiveness.

Short-Term, Equipment-Free High Intensity Interval Training Elicits Significant Improvements in Cardiorespiratory Fitness Irrespective of Supervision in Early Adulthood

Introduction: Serious health implications from having low levels of cardiorespiratory fitness (CRF) and being overweight in young adulthood are carried forward into later life. High-intensity interval training (HIIT) is a time-effective, potent stimulus for improving CRF and indices of cardiometabolic health. To date, few studies have investigated the use of equipment-free HIIT or the impact of supervision for improving CRF via HIIT. Methods: Thirty healthy young adults (18-30 y) were randomised to 4 weeks (12 sessions) equipment-free, bodyweight based supervised laboratory HIIT (L-HIIT), unsupervised home HIIT (H-HIIT) or no-intervention (CON). Utilised exercises were star jumps, squats and standing sprints. Measurements of CRF (anaerobic threshold (AT) and VO₂peak), blood pressure (BP), body mass index (BMI), blood glucose and plasma insulin by oral glucose tolerance test (OGTT), and muscle architecture were performed at baseline and after the intervention. Results: When compared to the control group, both HIIT protocols improved CRF (AT: L-HIIT mean difference compared to the control group (MD) +2.1 (95% CI: 0.34-4.03) ml/kg/min; p = 0.02; H-HIIT MD +3.01 (1.17-4.85) ml/kg/min; p = 0.002), VO₂peak: L-HIIT (MD +2.94 (0.64-5.25) ml/kg/min; p = 0.01; H-HIIT MD +2.55 (0.34-4.76) ml/kg/min; p = 0.03), BMI (L-HIIT MD -0.43 (-0.86 to 0.00) kg/m²; p = 0.05; H-HIIT: MD -0.51 (-0.95 to -0.07) kg/m²; p = 0.03) and m. vastus lateralis pennation angle (L-HIIT MD 0.2 (0.13-0.27)°; p < 0.001; H-HIIT MD 0.17 (0.09 to 0.24)°; p < 0.001). There was no significant change in BP, blood glucose or plasma insulin in any of the groups. Conclusions: Four weeks time-efficient, equipment-free, bodyweight-based HIIT is able to elicit improvements in CRF irrespective of supervision status. Unsupervised HIIT may be a useful tool for counteracting the rise of sedentary behaviours and consequent cardiometabolic disorders in young adults.

Mobile Ecological Momentary Assessment and Intervention and Health Behavior Change Among Adults in Rakai, Uganda: Pilot Randomized Controlled Trial

BACKGROUND

An extraordinary increase in mobile phone ownership has revolutionized the opportunities to use mobile health approaches in lower- and middle-income countries (LMICs). Ecological momentary assessment and intervention (EMAI) uses mobile technology to gather data and deliver timely, personalized behavior change interventions in an individual's natural setting. To our knowledge, there have been no previous trials of EMAI in sub-Saharan Africa.

OBJECTIVE

To advance the evidence base for mobile health (mHealth) interventions in LMICs, we conduct a pilot randomized trial to assess the feasibility of EMAI and establish estimates of the potential effect of EMAI on a range of health-related behaviors in Rakai, Uganda.

METHODS

This prospective, parallel-group, randomized pilot trial compared health behaviors between adult participants submitting ecological momentary assessment (EMA) data and receiving behaviorally responsive interventional health messaging (EMAI) with those submitting EMA data alone. Using a fully automated mobile phone app, participants submitted daily reports on 5 different health behaviors (fruit consumption, vegetable consumption, alcohol intake, cigarette smoking, and condomless sex with a non-long-term partner) during a 30-day period before randomization (P1). Participants were then block randomized to the control arm, continuing EMA reporting through exit, or the intervention arm, EMA reporting and behavioral health messaging receipt. Participants exited after 90 days of follow-up, divided into study periods 2 (P2: randomization + 29 days) and 3 (P3: 30 days postrandomization to exit). We used descriptive statistics to assess the feasibility of EMAI through the completeness of data and differences in reported behaviors between periods and study arms.

RESULTS

The study included 48 participants (24 per arm; 23/48, 48% women; median age 31 years). EMA data collection was feasible, with 85.5% (3777/4418) of the combined days reporting behavioral data. There was a decrease in the mean proportion of days when alcohol was consumed in both arms over time (control: P1, 9.6% of days to P2, 4.3% of days; intervention: P1, 7.2% of days to P3, 2.4% of days). Decreases in sex with a non-long-term partner without a condom were also reported in both arms (P1 to P3 control: 1.9% of days to 1% of days; intervention: 6.6% of days to 1.3% of days). An increase in vegetable consumption was found in the intervention (vegetable: 65.6% of days to 76.6% of days) but not in the control arm. Between arms, there was a significant difference in the change in reported vegetable consumption between P1 and P3 (control: 8% decrease in the mean proportion of days vegetables consumed; intervention: 11.1% increase; P=.01).

CONCLUSIONS

Preliminary estimates suggest that EMAI may be a promising strategy for promoting behavior change across a range of behaviors. Larger trials examining the effectiveness of EMAI in LMICs are warranted.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04375423; https://www.clinicaltrials.gov/ct2/show/NCT04375423.

Building on Lessons Learned in a Mobile Intervention to Reduce Pain and Improve Health (MORPH): Protocol for the MORPH-II Trial

BACKGROUND

Engaging in sufficient levels of physical activity, guarding against sustained sitting, and maintaining a healthy body weight represent important lifestyle strategies for managing older adults' chronic pain. Our first Mobile Health Intervention to Reduce Pain and Improve Health (MORPH) randomized pilot study demonstrated that a partially remote group-mediated diet and daylong activity intervention (ie, a focus on moving often throughout the day) can lead to improved physical function, weight loss, less pain intensity, and fewer minutes of sedentary time. We also identified unique delivery challenges that limited the program's scalability and potential efficacy.

OBJECTIVE

The purpose of the MORPH-II randomized pilot study is to refine the MORPH intervention package based on feedback from MORPH and evaluate the feasibility, acceptability, and preliminary efficacy of this revised package prior to conducting a larger clinical trial.

METHODS

The MORPH-II study is an iteration on MORPH designed to pilot a refined framework, enhance scalability through fully remote delivery, and increase uptake of the daylong movement protocol through revised education content and additional personalized remote coaching. Older, obese, and low-active adults with chronic multisite pain (n=30) will be randomly assigned to receive a 12-week remote group-mediated physical activity and dietary weight loss intervention followed by a 12-week maintenance period or a control condition. Those in the intervention condition will partake in weekly social cognitive theory-based group meetings via teleconference software plus one-on-one support calls on a tapered schedule. They will also engage with a tablet application paired with a wearable activity monitor and smart scale designed to provide ongoing social and behavioral support throughout the week. Those in the control group will receive only the self-monitoring tools.

RESULTS

Recruitment is ongoing as of January 2021.

CONCLUSIONS

Findings from MORPH-II will help guide other researchers working to intervene on sedentary behavior through frequent movement in older adults with chronic pain.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04655001; https://clinicaltrials.gov/ct2/show/NCT04655001.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/29013.

Feasibility of Reducing and Breaking Up University Students' Sedentary Behaviour: Pilot Trial and Process Evaluation

Background: Accumulating high levels of sedentary behaviour has been linked to poor health outcomes. This study examined the feasibility and preliminary, short-term effects of a theory-based intervention aimed at reducing total and prolonged sedentary behaviour in University students.

Design: A quasi-experimental (pre-post) pilot study. Methods: Nine ambulatory undergraduate students (Mean age = 22 ± 2.32) participated in a one-on-one session, including an educational component around the health effects of sedentary behaviour and three distinct activities (feedback, “pros and cons” exercise, and suggested behaviour change strategies). In addition, automated daily text messages targeting sedentary behaviour were sent for 6 days (four messages per day at fixed intervals). The Behaviour Change Wheel framework guided the intervention design process. Outcomes were assessed over 6 days in pre- and post-intervention periods and included accelerometer-based (activPAL) and self-reported (Nightly-Week-U) total sedentary time, as well as accelerometer-based number of steps and prolonged sedentary time. Students completed a process evaluation interview upon completing the trial.

Results: From pre- to post-intervention, there was a significant reduction in accelerometer-based total and prolonged sedentary time during weekend days. In addition, there was a significant increase in accelerometer-based standing time and stepping during weekend days. There were no statistically significant changes in accelerometer-based sedentary time, standing time or number of steps during weekdays. Process evaluation results indicated that the intervention and its assessment is feasible. Reductions in sedentary time were likely to be mediated by positive changes in the student's reflective and automatic motivation.

Conclusions: Findings from this small, short-term intervention suggest that a single one-on-one session, together with automated text messages, may help University students reduce sedentary behaviour and enhance movement during weekend days. Additional strategies to maximise the intervention effects are discussed (e.g., establishing a collaboration with University staff, introducing sit-to-stand desks, and/or facilitating social support). A randomised control trial assessing sedentary behaviour over a longer period is needed to adequately study the intervention's effectiveness.

Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study

BACKGROUND

"Push" components of mobile health interventions may be promising to create conscious awareness of habitual sedentary behavior; however, the effect of these components on the near-time, proximal outcome, being breaks in sedentary behavior immediately after receiving a push notification, is still unknown, especially in older adults.

OBJECTIVE

The aims of this study are to examine if older adults break their sedentary behavior immediately after receiving personalized haptic feedback on prolonged sedentary behavior and if the percentage of breaks differs depending on the time of the day when the feedback is provided.

METHODS

A total of 26 Flemish older adults (mean age 64.4 years, SD 3.8) wore a triaxial accelerometer (Activator, PAL Technologies Ltd) for 3 weeks. The accelerometer generated personalized haptic feedback by means of vibrations each time a participant sat for 30 uninterrupted minutes. Accelerometer data on sedentary behavior were used to estimate the proximal outcome, which was sedentary behavior breaks immediately (within 1, 3, and 5 minutes) after receiving personalized haptic feedback. Generalized estimating equations were used to investigate whether or not participants broke up their sedentary behavior immediately after receiving haptic feedback. A time-related variable was added to the model to investigate if the sedentary behavior breaks differed depending on the time of day.

RESULTS

A total of 2628 vibrations were provided to the participants during the 3-week intervention period. Of these 2628 vibrations, 379 (14.4%), 570 (21.7%), and 798 (30.4%) resulted in a sedentary behavior break within 1, 3 and 5 minutes, respectively. Although the 1-minute interval did not reveal significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided, the 3- and 5-minute intervals did show significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided. Concretely, the percentage of sedentary behavior breaks was significantly higher if personalized haptic feedback was provided between noon and 3 PM compared to if the feedback was provided between 6 and 9 AM (odds ratio 1.58, 95% CI 1.01-2.47, within 3 minutes; odds ratio 1.78, 95% CI 1.11-2.84, within 5 minutes).

CONCLUSIONS

The majority of haptic vibrations, especially those in the morning, did not result in a break in the sedentary behavior of older adults. As such, simply bringing habitual sedentary behavior into conscious awareness seems to be insufficient to target sedentary behavior. More research is needed to optimize push components in interventions aimed at the reduction of the sedentary behavior of older adults.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04003324; https://clinicaltrials.gov/ct2/show/NCT04003324.