Preferred Behavior Change Techniques for Physical Activity Interventions among Persons Newly Diagnosed with Multiple Sclerosis: A Qualitative Study

Diabetes-related lower limb amputation (LLA) is a leading cause of disability globally, impacting individuals' physical and mental health, and ultimately their quality of life. Physical activity can reduce risk of chronic disease and mortality while improving quality of life. However, people with LLA often have reduced balance and walking ability resulting in sedentary behaviour. We co-created a physical activity intervention, IMproving Physical Activity through Coaching and Technology following Lower Limb Loss (IMPACT-L3), to support physical activity behaviour change in people with dysvasular LLA. To date, no studies have assessed a peer-led physical activity behaviour change intervention for people with LLA. Prior to launching a large trial, a pilot study is required to assess feasibility and optimize design of a future trial. This pilot study is a parallel group randomized controlled trial (RCT) with an embedded qualitative component. The intervention group will have access to once-weekly virtual peer coaching sessions with a peer trained in brief action planning; web-based physical activity modules; and a wearable activity monitor for 8 weeks. The control group will continue usual care and be offered the intervention at the end of the follow-up period. Data on feasibility will be collected including assessment of process, resource, management and treatment indicators. The proposed primary outcomes will be measured at baseline, post-intervention and one month later: total physical activity counts per day measured by the ActiGraphTM activity monitor and self-efficacy measured by the Self-efficacy for Exercise scale. Secondary measures include patient reported outcome measures of physical activity, mobility, depression, social participation, balance confidence and quality of life. Semi-structured interviews will explore feasibility and acceptability of the intervention to participants and peers. This study will inform the design of a definitive RCT to determine the effectiveness of a peer-led physical activity intervention for people with dysvascular LLA.

BackgroundIncreased accessibility to the internet and mobile devices has seen a rapid expansion in electronic health (eHealth) behavior change interventions delivered to patients with cancer and survivors using synchronous, asynchronous, and combined delivery methods. Characterizing effective delivery methods of eHealth interventions is required to enable improved design and implementation of evidence-based health behavior change interventions.ObjectiveThis study aims to systematically review the literature and synthesize evidence on the success of eHealth behavior change interventions in patients with cancer and survivors delivered by synchronous, asynchronous, or combined methods compared with a control group. Engagement with the intervention, behavior change, and health outcomes, including quality of life, fatigue, depression, and anxiety, were examined.MethodsA search of Scopus, Ovid MEDLINE, Excerpta Medica dataBASE, Cumulative Index to Nursing and Allied Health Literature Plus, PsycINFO, Cochrane CENTRAL, and PubMed was conducted for studies published between March 2007 and March 2019. We looked for randomized controlled trials (RCTs) examining interventions delivered to adult cancer survivors via eHealth methods with a measure of health behavior change. Random-effects meta-analysis was performed to examine whether the method of eHealth delivery impacted the level of engagement, behavior change, and health outcomes.ResultsA total of 24 RCTs were included predominantly examining dietary and physical activity behavior change interventions. There were 11 studies that used a synchronous approach and 11 studies that used an asynchronous approach, whereas 2 studies used a combined delivery method. Use of eHealth interventions improved exercise behavior (standardized mean difference [SMD] 0.34, 95% CI 0.21-0.48), diet behavior (SMD 0.44, 95% CI 0.18-0.70), fatigue (SMD 0.21, 95% CI −0.08 to 0.50; SMD change 0.22, 95% CI 0.09-0.35), anxiety (SMD 1.21, 95% CI: 0.36-2.07; SMD change 0.15, 95% CI −0.09 to 0.40), depression (SMD 0.15, 95% CI 0.00-0.30), and quality of life (SMD 0.12, 95% CI −0.10 to 0.34; SMD change 0.14, 95% CI 0.04-0.24). The mode of delivery did not influence the amount of dietary and physical activity behavior change observed.ConclusionsPhysical activity and dietary behavior change eHealth interventions delivered to patients with cancer or survivors have a small to moderate impact on behavior change and a small to very small benefit to quality of life, fatigue, depression, and anxiety. There is insufficient evidence to determine whether asynchronous or synchronous delivery modes yield superior results. Three-arm RCTs comparing delivery modes with a control with robust engagement reporting are required to determine the most successful delivery method for promoting behavior change and ultimately favorable health outcomes.

Physical activity behavior change for older veterans after dysvascular amputation

ObjectivesConcerns on the lack of reproducibility and transparency in science have led to a range of research practice reforms, broadly referred to as ‘Open Science’. The extent that physical activity interventions are embedding Open Science practices is currently unknown. In this study, we randomly sampled 100 reports of recent physical activity randomised controlled trial behaviour change interventions to estimate the prevalence of Open Science practices.MethodsOne hundred reports of randomised controlled trial physical activity behaviour change interventions published between 2018 and 2021 were identified, as used within the Human Behaviour-Change Project. Open Science practices were coded in identified reports, including: study pre-registration, protocol sharing, data, materials and analysis scripts sharing, replication of a previous study, open access publication, funding sources and conflict of interest statements. Coding was performed by two independent researchers, with inter-rater reliability calculated using Krippendorff’s alpha.Results78 of the 100 reports provided details of study pre-registration and 41% provided evidence of a published protocol. 4% provided accessible open data, 8% provided open materials and 1% provided open analysis scripts. 73% of reports were published as open access and no studies were described as replication attempts. 93% of reports declared their sources of funding and 88% provided conflicts of interest statements. A Krippendorff’s alpha of 0.73 was obtained across all coding.ConclusionOpen data, materials, analysis and replication attempts are currently rare in physical activity behaviour change intervention reports, whereas funding source and conflict of interest declarations are common. Future physical activity research should increase the reproducibility of their methods and results by incorporating more Open Science practices.

Facilitating healthy levels of physical activity (PA) during chemotherapy is important for the psychosocial and physical health of breast cancer survivors. The primary objective of this feasibility study was to examine the effects of a broad-reach PA behavior change intervention among women with breast cancer receiving adjuvant chemotherapy. Breast cancer patients receiving adjuvant chemotherapy (N = 95) were randomly assigned to receive a PA resource kit consisting of tailored print materials and a step pedometer (intervention) or a standard public health PA recommendation (standard recommendation). The primary outcome was daily pedometer steps. Secondary outcomes were self-reported light, moderate, and vigorous intensity PA, total moderate-to-vigorous PA, and sedentary time. Assessments were conducted before and after adjuvant chemotherapy. Attrition was 19% (17 of 95). Intervention patients wore their step pedometer for 85 days (range, 35-144 days; SD = 26.4) for a 95% adherence rate. Analyses of covariance suggested that the intervention was not statistically superior to standard recommendation for daily average pedometer steps (-771; 95% CI = -2024 to 482; P = 0.22), total MVPA minutes (-4; 95% CI = -62 to 570; P = 0.90), or sedentary time (+160; 95% CI = -186 to 506; P = 0.42). This broach-reach and low intensive intervention was not more effective for promoting PA in breast cancer patients receiving chemotherapy than providing the standard public health guidelines for PA. Achieving physical activity behavior change during adjuvant breast cancer chemotherapy may require some level of supervised physical activity or more intensive (e.g., face-to-face, supervised) interventions.

ObjectiveThis article presents a qualitative evaluation of a 13-week digital intervention, ‘Let's Move with Leon’, designed to improve physical activity in people with a musculoskeletal condition. Study designA qualitative evaluation embedded within a randomised controlled trial assessing the effectiveness of the intervention at improving self-reported physical activity. MethodsA total of 184 participants received the intervention and were asked each week for 13 weeks to provide comment on their use and the usefulness of the digital physical activity behaviour change intervention. In addition, after 13 weeks, 12 participants took part in a semistructured interview to understand their use and the usefulness of the intervention. A thematic analysis was conducted on the combined qualitative data set. ResultsA total of 128 of the 184 intervention participants (70.11%) provided at least one qualitative comment over the course of the evaluation (mean number of comments per participant = 5); in total, 674 comments were received. The thematic analysis identified three themes: (1) dipping in and out, (2) one size does not fit all and (3) monitoring and feedback. The qualitative data suggest that participants used the intervention sporadically, dipping in and out due to other commitments, and competing programmes, their changing physical ability, confidence and motivation. Not getting off to a good start was detrimental to use; many wanted to come back to the programme at a more appropriate time. A ‘one size fits’ approach catered for some but not all participants. Whilst not a predetermined intervention component the act of monitoring levels of activity as a data collection method seemed to encourage physical activity but may also result in negative social comparisons. ConclusionDigital physical activity behaviour change interventions are not one-size-fits-all; personalisation is key. Monitoring of activity by a named person can create commitment. Many dip in and out. Digital physical activity behaviour change interventions could complement physiotherapy exercises for people with musculoskeletal conditions. Signposting to local activities should be considered.

BackgroundThe present paper intends to contribute to the debate on the usefulness and barriers in applying theories in diet and physical activity behavior-change interventions.DiscussionSince behavior theory is a reflection of the compiled evidence of behavior research, theory is the only foothold we have for the development of behavioral nutrition and physical activity interventions. Application of theory should improve the effectiveness of interventions. However, some of the theories we use lack a strong empirical foundation, and the available theories are not always used in the most effective way. Furthermore, many of the commonly-used theories provide at best information on what needs to be changed to promote healthy behavior, but not on how changes can be induced. Finally, many theories explain behavioral intentions or motivation rather well, but are less well-suited to explaining or predicting actual behavior or behavior change.For more effective interventions, behavior change theory needs to be further developed in stronger research designs and such change-theory should especially focus on how to promote action rather than mere motivation. Since voluntary behavior change requires motivation, ability as well as the opportunity to change, further development of behavior change theory should incorporate environmental change strategies.ConclusionIntervention Mapping may help to further improve the application of theories in nutrition and physical activity behavior change.

PurposeCommunity behaviour change interventions are a promising strategy for addressing unhealthy eating and physical activity behaviours in underserved populations. This review explores these interventions' characteristics by focusing on behaviour change techniques, evaluates their behaviour change effectiveness and examines participant experiences.MethodsA mixed‐methods rapid review was conducted. Five databases and the grey literature were searched and supplemented by hand searching. Results were screened, assessed for methodological quality and data extracted using the Behaviour Change Techniques Ontology. A convergent segregated approach was used to synthesize the results.ResultsTwenty‐one studies were included. Commonly used behaviour change techniques were social support, guidance on how to perform the behaviour and monitoring. Intervention effects on healthy eating and physical activity behaviour change were small, but outcomes that measured influences on behaviour change (e.g., social support) improved. Participants reported largely positive experiences, mostly attributed to the intervention's tailoring to the target population's contexts and the engagement and expertise of those who delivered the intervention.ConclusionsEvidence of direct behaviour change remains limited; there is stronger evidence for improvements in factors that influence behaviour change. Qualitative evidence highlights the value of tailoring interventions to participants' lives and using relatable, knowledgeable sources for delivery. This could enhance engagement and contribute to improved outcomes over time. Further research is needed on how contextual tailoring is implemented and how the characteristics of those delivering interventions influence effectiveness and experience. Findings support the potential of community‐centred approaches, but long‐term evaluations in underserved contexts are needed.

We previously reported the effectiveness of a 12-week physical activity behavior change intervention for breast cancer survivors postintervention with this report, aiming to determine delayed and/or persistent effects 3 months after intervention completion. Forty-one sedentary women with stage I, II, or IIIA breast cancer currently receiving hormonal therapy were randomly assigned to receive the 12-week Better Exercise Adherence after Treatment for Cancer intervention or usual care. Assessments occurred at baseline, postintervention, and 3 months postintervention. Weekly minutes of greater than or equal to moderate intensity physical activity measured by accelerometer showed a significant group by time interaction (F = 3.51; P = 0.035; between group difference in the mean change from baseline to 3 months postintervention, 100.1 minute, P = 0.012). Significant group by time interactions also showed sustained improvements from baseline to 3 months postintervention in strength (F = 3.82; P = 0.027; between group difference, 11.2 kg; P = 0.026), waist-to-hip ratio (F = 3.36; P = 0.041; between group difference, -0.04; P = 0.094), and social well-being (F = 4.22; P = 0.023; between group difference, 3.9; P = 0.039). A delayed reduction in lower extremity dysfunction 3 months postintervention was noted (F = 3.24; P = 0.045; between group difference in the mean change from postintervention to 3 months follow-up; P = -7.6; P = 0.015). No group by time effect was noted for fitness, body mass index, percent fat, bone density, total quality of life (Functional Assessment of Cancer Therapy-General), fatigue, endocrine symptoms, cognitive function, or sleep. The intervention resulted in sustained improvements in physical activity, strength, central adiposity, and social well-being with lower extremity function benefits appearing 3 months after intervention completion. Testing translation in a multisite study is warranted.

BackgroundRecent EULAR guidelines for the management of fibromyalgia syndrome (FMS) strongly recommend aerobic and strengthening exercise programmes, which demonstrate positive effects on symptoms and physical function.1 Despite these benefits, physical...

Implementing behaviour change theory and techniques to increase physical activity and prevent functional decline among adults aged 61–70: The PreventIT project

ABSTRACTMotivation is a proximal determinant of behaviour, and increasing motivation is central to most health behaviour change interventions. This systematic review and meta-analysis sought to identify features of physical activity interventions associated with favourable changes in three prominent motivational constructs: intention, stage of change and autonomous motivation. A systematic literature search identified 89 intervention studies (k = 200; N = 19,212) which assessed changes in these motivational constructs for physical activity. Intervention descriptions were coded for potential moderators, including behaviour change techniques (BCTs), modes of delivery and theory use. Random effects comparative subgroup analyses identified 18 BCTs and 10 modes of delivery independently associated with changes in at least one motivational outcome (effect sizes ranged from d = 0.12 to d = 0.74). Interventions delivered face-to-face or in gym settings, or which included the BCTs ‘behavioural goal setting’, ‘self-monitoring (behaviour)’ or ‘behavioural practice/rehearsal’, or which combined self-monitoring (behaviour) with any other BCT derived from control theory, were all associated with beneficial changes in multiple motivational constructs (effect sizes ranged from d = 0.12 to d = 0.46). Meta-regression analyses indicated that increases in intention and stage of change, but not autonomous motivation, were significantly related to increases in physical activity. The intervention characteristics associated with changes in motivation seemed to form clusters related to behavioural experience and self-regulation, which have previously been linked to changes in physical activity behaviour. These BCTs and modes of delivery merit further systematic study, and can be used as a foundation for improving interventions targeting increases in motivation for physical activity.

Introduction/Aim Type 2 diabetes (T2D) is a growing global health burden, with lifestyle behaviors playing a key role in its management. Physical activity (PA), sedentary behavior (SB), and sleep are increasingly conceptualized as interdependent components of 24-hour movement behaviors. While behavior change techniques (BCTs) are commonly used to target individual behaviors, their effectiveness across multiple behaviors in adults with T2D remains unclear. This systematic review and meta-analysis aimed to evaluate the effectiveness of behavior change interventions incorporating BCTs on PA, SB, and sleep outcomes, and to identify effective BCT clusters. Methods A systematic search of PubMed, Web of Science, and Embase was conducted from inception to December 18, 2023. Randomized and non-randomized controlled trials including adults with T2D were eligible if they evaluated behavior change or lifestyle interventions targeting PA, SB, and/or sleep and included at least one BCT. Data extraction, BCT coding (using the BCT Taxonomy), and risk of bias assessment (Cochrane RoB 2) were performed independently by multiple reviewers. Meta-analyses using random-effects models were conducted for relevant outcomes. Subgroup analyses examined the effects of three common BCT clusters: goals and planning, feedback and monitoring, and social support. Results Sixty-six studies (n = 18,725 participants) were included. Interventions significantly improved several PA outcomes, including steps/day (+1991 steps/day; p<0.001), total PA (SMD=0.36; p=0.02), moderate-to-vigorous PA (SMD=0.55; p<0.001), and light-intensity PA (SMD=0.62; p=0.01). Sedentary time decreased significantly (SMD=−0.32; p=0.008). Sleep quality improved (MD=−1.39; p=0.02), whereas sleep duration showed no significant change. Subgroup analyses demonstrated that BCT clusters involving goals and planning, feedback and monitoring, and social support were consistently associated with improvements in PA and SB, with comparable effect sizes to overall analyses. Effects on sleep outcomes were limited due to the small number of studies. Conclusion Behavior change interventions incorporating BCTs effectively increase PA, reduce SB, and improve sleep quality in adults with T2D. BCTs such as goal setting, self-monitoring, feedback, and social support appear particularly beneficial. However, sleep - especially duration - remains underexplored. Future interventions should adopt a 24-hour movement behavior perspective and more explicitly integrate and report BCTs to optimize long-term diabetes management.

Physical activity (PA) and exercise programmes are recommended for the management of fibromyalgia. Despite positive effects on symptoms and function, PA promotion remains a significant clinical challenge. Behaviour change theories and techniques are recommended as part of complex health interventions; their integration into interventions aimed at PA behaviour in people with fibromyalgia is not known. This review explored behaviour change interventions targeting PA in adults with fibromyalgia. A systematic review was conducted; randomized and quasi-randomized controlled trials with at least one behaviour change intervention targeting PA were included. MEDLINE/OVID, EMBASE, PEDro, PsychINFO, CINAHL, Scopus, Web of Science, the Cochrane Central Register of Controlled Trials and relevant conference abstracts were searched. Two authors independently screened studies for inclusion and performed risk of bias assessments. Articles were reviewed for their use of behaviour change theory and behaviour change techniques (BCTs). The search identified 2491 records, from which eight studies (1416 participants) were included. PA and exercise behaviours were the primary focus of four interventions and were components of broader interventions in four studies. Behaviour change theories informed four interventions. Thirty-two different BCTs were used across studies. Five studies reported improvements in PA either post-intervention or at follow-up. Two studies used objective PA measures and seven studies used self-report measures. Short-term benefits in pain, quality of life, and physical fitness were also observed. Behaviour change interventions targeting PA in people with fibromyalgia have had limited success to date. With significant variations in intervention designs, the optimal intervention remains unknown.

Association of Functional Status With Changes in Physical Activity: Insights From a Behavioral Intervention for Participants With Arthritis