The Multiphase Optimization Strategy (MOST) is a three-phase iterative framework that could accelerate the development of behavioral interventions. This systematic review and meta-analysis was conducted within the MOST preparation phase and aimed to classify components included in pediatric sleep duration interventions, using the Behavior Change Technique (BCT) Taxonomy. Across 37 interventions, 46 out of 93 BCTs have been used, with an average of 8 techniques used per study. The most common BCTs used were instruction on how to perform the behavior (N = 29; code 4.1), practical social support (N = 22; code: 3.2), and behavioral practice/rehearsal (N = 22; code: 8.1). A latent class analysis identified two classes of interventions, distinguished by the presence of BCTs falling within the following behavior change groups: shaping knowledge, natural consequences, comparison of behavior, and repetition and substitution. Our meta-analysis revealed that interventions belonging to the latent class with these behavior change groups (N = 15) had a pooled positive intervention effect of 14 min (95 % CI: 8-21) versus 8 min (95 % CI: 1-15) for interventions without these behavior change groups (N = 19). This systematic review and meta-analysis will enhance the development of sleep promotion interventions and guide the selection of candidate intervention components for future optimization and randomized control trials.

Despite the health benefits of physical activity, many older adults living in long-term care facilities lead sedentary lifestyles and do not meet minimum physical activity recommendations. Determining the behavior change techniques (BCTs) used in physical activity interventions can help us understand the underlying mechanisms by which behavioral change is achieved. The purpose of this systematic review was to identify and evaluate BCTs in physical activity interventions for the elderly residents. Six electronic databases were searched and 15 eligible studies were retained. Nine promising BCTs associated with physical activity promotion among elderly residents were identified: credible source, social support (unspecified), goal setting (outcome), goal setting (behavior), demonstration of the behavior, instruction on how to perform a behavior, self-monitoring of behavior, self-monitoring of outcome(s) of behavior, and adding objects to the environment. Future research is encouraged to select and tailor these BCTs to the specific needs and preferences of the target population.

BACKGROUND: Worldwide, physical inactivity (PIA) and sedentary behavior (SB) are recognized as significant challenges hindering the achievement of the United Nations (UN) sustainable development goals (SDGs). PIA and SB are responsible for 1.6 million deaths attributed to non-communicable diseases (NCDs). The World Health Organization (WHO) has urged governments to implement interventions informed by behavioral theories aimed at reducing PIA and SB. However, limited attention has been given to the range of theories, techniques, and contextual conditions underlying the design of behavioral theories. To this end, we set out to map these interventions, their levels of action, their mode of delivery, and how extensively they apply behavioral theories, constructs, and techniques.
METHODS: Following the scoping review methodology of Arksey and O\'Malley (2005), we included peer-reviewed articles on behavioral theories interventions centered on PIA and SB, published between 2010 and 2023 in Arabic, French, and English in four databases (Scopus, Web of Science [WoS], PubMed, and Google Scholar). We adopted a framework thematic analysis based on the upper-level ontology of behavior theories interventions, Behavioral theories taxonomies, and the first version (V1) taxonomy of behavior change techniques(BCTs).
RESULTS: We included 29 studies out of 1,173 that were initially screened/searched. The majority of interventions were individually focused (n = 15). Few studies have addressed interpersonal levels (n = 6) or organizational levels (n = 6). Only two interventions can be described as systemic (i.e., addressing the individual, interpersonal, organizational, and institutional factors)(n = 2). Most behavior change interventions use four theories: The Social cognitive theory (SCT), the socioecological model (SEM), SDT, and the transtheoretical model (TTM). Most behavior change interventions (BCIS) involve goal setting, social support, and action planning with various degrees of theoretical use (intensive [n = 15], moderate [n = 11], or low [n = 3]).
CONCLUSIONS: Our review suggests the need to develop systemic and complementary interventions that entail the micro-, meso- and macro-level barriers to behavioral changes. Theory informed BCI need to integrate synergistic BCTs into models that use micro-, meso- and macro-level theories to determine behavioral change. Future interventions need to appropriately use a mix of behavioral theories and BCTs to address the systemic nature of behavioral change as well as the heterogeneity of contexts and targeted populations.

The optimal treatment and organization of care for people with obesity is one of the greatest challenges facing today\'s health services. While surgery and pharmacotherapy offer effective treatment options for some people with obesity, behavioral interventions are important to support long-term behavioral change. However, little is known about the most effective components of behavioral interventions, and this is especially the case for people with complex or severe obesity (i.e. body mass index [BMI] > 35 kg/m2). Accordingly, the current rapid review aimed to identify which behavior change techniques (BCTs) are effective for weight loss in adults with (severe) obesity. A secondary aim was to review the effects of BCTs on dietary behaviors and physical activity, and psychological outcomes, recognizing that behavioral interventions commonly target these. A search of Scopus, Ovid Medline, and Web of Science resulted in 1227 results, with 22 reviews eligible for inclusion. The most commonly reported BCTs were self-monitoring and goal setting, but these had variable effects on weight in adults with obesity. Combining these BCTs with other self-regulatory techniques led to increased weight loss. Further, for adults with severe obesity, so-called \'nudge\' techniques and self-regulatory techniques were associated with greater weight loss. Three reviews also found that while self-monitoring increased physical activity, behavioral commitments increased changes to dietary behaviors. BCTs were not associated with psychological well-being. The review confirms that behavioral interventions have an impact in weight management, including for individuals with more complex or severe obesity, but highlights the need for further investigation of their use within clinical settings.

BACKGROUND: With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in daily life.
OBJECTIVE: To comprehensively understand the design implementations of habit formation techniques in current DBCIs, a systematic review was conducted to investigate the implementations of behavior change techniques, types of habit formation techniques, and design strategies in current DBCIs.
METHODS: The process of this review followed the PRISMA (Preferred Reporting Item for Systematic Reviews and Meta-Analyses) guidelines. A total of 4 databases were systematically searched from 2012 to 2022, which included Web of Science, Scopus, ACM Digital Library, and PubMed. The inclusion criteria encompassed studies that used digital tools for physical activity, examined behavior change intervention techniques, and were written in English.
RESULTS: A total of 41 identified research articles were included in this review. The results show that the most applied behavior change techniques were the self-monitoring of behavior, goal setting, and prompts and cues. Moreover, habit formation techniques were identified and developed based on intentions, cues, and positive reinforcement. Commonly used methods included automatic monitoring, descriptive feedback, general guidelines, self-set goals, time-based cues, and virtual rewards.
CONCLUSIONS: A total of 32 commonly design strategies of habit formation techniques were summarized and mapped to the proposed conceptual framework, which was categorized into target-mediated (generalization and personalization) and technology-mediated interactions (explicitness and implicitness). Most of the existing studies use the explicit interaction, aligning with the personalized habit formation techniques in the design strategies of DBCIs. However, implicit interaction design strategies are lacking in the reviewed studies. The proposed conceptual framework and potential solutions can serve as guidelines for designing strategies aimed at habit formation within DBCIs.

This research paper delves into the effectiveness and impact of behavior change techniques fostered by information technologies, particularly wearables and Internet of Things (IoT) devices, within the realms of engineering and computer science. By conducting a comprehensive review of the relevant literature sourced from the Scopus database, this study aims to elucidate the mechanisms and strategies employed by these technologies to facilitate behavior change and their potential benefits to individuals and society. Through statistical measurements and related works, our work explores the trends over a span of two decades, from 2000 to 2023, to understand the evolving landscape of behavior change techniques in wearable and IoT technologies. A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior. The findings shed light on the promising role of wearables and IoT devices for promoting positive behavior modifications and improving individuals\' overall well-being and highlighting the need for continued research and development in this area to harness the full potential of technology for societal benefit.

OBJECTIVE: The objectives were to assess (i) the quality of theory implementation, (ii) the application of behavior change techniques, and (iii) the effectiveness of theory-based interventions in promoting physical activity in pregnant women and improving maternal and neonatal outcomes.
METHODS: A systematic search was conducted across 8 databases (Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, EMBASE, MEDLINE, APA PsycINFO, PubMed, SPORTDiscus, and Web of Science) to identify randomized controlled trials published from database inception to 8 July 2023. The Cochrane risk-of-bias 2.0 tool was used to evaluate the quality of the included studies. The theory coding scheme was used to measure the quality of theory implementation, and behavior change techniques were coded according to behavior change taxonomy (version 1). The meta-analysis was performed using RevMan 5.3. The Grading of Recommendations, Assessment, Development, and Evaluation Approach was used to assess the certainty of evidence.
RESULTS: Eleven studies met the study criteria. Nine studies were based on one theory, while two studies were based on a combination of two theories. The quality of theory implementation was generally moderate. A total of 24 unique behavior change techniques were extracted. The most commonly used types of behavior change techniques were \'instruction on how to perform the behavior\' (n = 9), \'goal setting\' (behavior) (n = 8), \'action planning\' (n = 7), and \'information about health consequences\' (n = 7). Theory-based interventions significantly improved moderate-to-vigorous physical activity (standardized mean difference (SMD) = 0.17, 95 % confidence interval (CI) [0.04, 0.30], P = 0.01; moderate certainty of evidence), reduced the average gestational weight gain per week (mean difference (MD) = -0.06, 95 % CI [-0.11, -0.01], P = 0.02; moderate certainty of evidence), and decreased the incidence of gestational diabetes mellitus (risk ratio (RR) = 0.64, 95 % CI [0.46, 0.89], P = 0.008; high certainty of evidence). However, the effects of theory-based interventions on total physical activity, total gestational weight gain and the incidence of gestational hypertension and preterm delivery were unclear (P > 0.05).
CONCLUSIONS: (i) Most of the studies exhibited a moderate level of theory implementation quality. (ii) The use of theories varies, but common behavior change techniques were found across studies. (iii) Theory-based interventions can improve physical activity and maternal and neonatal outcomes and appear to be safe. Appropriate health behavior theories and behavior change techniques should be fully utilized in future interventions.
BACKGROUND: PROSPERO: CRD42023440886.
CONCLUSIONS: Theory-based interventions can improve physical activity and maternal and neonatal outcomes and appear to be safe. Appropriate health behavior theories and behavior change techniques should be fully utilized in the development of future interventions.

Understanding behavior change techniques (BCTs) used in randomized controlled trials (RCTs) of physical activity programs/services for older adults can help us to guide their implementation in real-world settings.
This study aims to: (a) identify the number and type of BCTs used in physical activity programs/services for older adults evaluated in large, good quality RCTs and (b) explore the impact of different BCTs on different outcome domains.
This is a secondary data analysis of a WHO-commissioned rapid review of physical activity programs/services for older adults. Fifty-six trials testing 70 interventions were coded for the type and number of BCTs present using a published BCT taxonomy. The proportion of positive effects found from physical activity interventions using the most common BCTs was calculated for the outcomes of physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being and quality of life.
Thirty-nine of the 93 possible BCTs were identified in the included trials and 529 BCTs in total (mean 7.6, range 2-17). The most common BCTs were \"action planning\" (68/70 interventions), \"instructions on how to perform a behavior\" (60/70), \"graded tasks\" (53/70), \"demonstration of behavior\" (44/70), and \"behavioral practice/rehearsal\" (43/70). Interventions that used any of the most common BCTs showed overwhelmingly positive impacts on physical activity and social domain outcomes.
Consideration of which BCTs are included in interventions and their impact on outcomes can improve the effectiveness and implementation of future interventions. To enable this, providers can design, implement, and evaluate interventions using a BCT taxonomy.
Interventions aimed at modifying health-related behaviors, such as physical activity, are often complex, with numerous components. To better understand interventions’ “active ingredients,” we conducted a secondary analysis of a World Health Organization (WHO)-commissioned rapid review, using a behavior change technique (BCT) taxonomy. We aimed to classify the number and types of BCTs in physical activity programs for older adults, as identified in randomized controlled trials (RCTs), and examine their impact on outcomes, including physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being. Examining 56 trials testing 70 interventions, we identified 39 out of 93 possible BCTs, totaling 529 instances across interventions. Common BCTs included “action planning,” “instructions on how to perform a behavior,” “graded tasks,” “demonstration of behavior,” and “behavioral practice/rehearsal.” Interventions using the 10 most common BCTs demonstrated overwhelmingly positive impacts on physical activity and social domain outcomes. However, these BCTs were not consistently present in interventions yielding positive outcomes in other domains, with greater variation in effects. Our study highlights the significance of identifying both BCTs and desired outcomes when designing physical activity interventions. We advocate for the use of a taxonomy in designing and implementing future programs to maximize effectiveness.

Family or caregiver engagement has the potential to support healthy dietary changes among cancer survivors. However, little is known about these family- or caregiver-involved dietary interventions and their effects. This systematic review aimed to identify the behavior change techniques (BCTs) used in dietary interventions for cancer survivors and their families or caregivers and to synthesize intervention effects on dietary and health outcomes. Following the PRISMA guidelines, we conducted systematic searches in three databases and identified 12 trials (16 peer-reviewed manuscripts) for inclusion in this review. Data were extracted from these manuscripts and the BCT taxonomy was used to identify the BCTs. A total of 38 BCTs were identified from 12 trials, 13 of which were used in at least half of the 12 trials. Ten studies reported significant intervention effects on health outcomes (e.g., adiposity) and six suggested significant improvements in dietary behaviors (e.g., fruit and vegetable intake). Overall, this review found that family- or caregiver-involved interventions for cancer survivors significantly improved dietary and health outcomes. Future research should identify BCTs particularly for dietary changes and develop effective dyadic strategies to facilitate diet-related interactions between survivors and their families or caregivers to enhance their engagement in healthy diets.

BACKGROUND: Various smartphone applications (apps) for people with tinnitus are available and promise tinnitus relief. Yet, it is difficult for people suffering from tinnitus and healthcare professionals to estimate their quality, potential, or risks. The current study aims to generate an overview of available tinnitus apps in the German language and to offer orientation for research and healthcare providers.
METHODS: The most prominent stores were searched systematically (November 2020-April 2021; Google Play Store and Apple App Store). Apps specifically developed for tinnitus were evaluated by two independent raters using multiple approaches: a) a quality screening was performed using the German version of the Mobile App Rating Scale (MARS-G), b) intervention components were assessed using a newly developed list of categories, and c) implemented strategies for active tinnitus management were analyzed using behavior change techniques (BCTs).
RESULTS: The search yielded 1073 apps, of which 21 apps were analyzed. The apps\' overall quality as assessed by MARS‑G was average (M = 3.37, SD = 039). A lot of apps offered sounds (n = 18) and information (n = 9) or assessed tinnitus characteristics (n = 13). Out of 93 BCTs, 24 were identified at least once. Only one app was evaluated in non-randomized trials.
CONCLUSIONS: Although a variety of apps are available, most of them focus on a few intervention components (e.g., sounds or information). Therefore, apps do not exploit their potential to impart important evidence-based content for tinnitus management. The app evaluation using multiple approaches points out potential for improvement.
UNASSIGNED: HINTERGRUND: Über App-Stores werden Applikationen (Apps) für Tinnitusbetroffene angeboten und versprechen schnelle Hilfe gegen die Ohrgeräusche. Für Betroffene und Behandelnde ist es jedoch gleichermaßen schwierig, deren Qualität, Potenziale oder Risiken einzuschätzen. Ziel dieser Studie war es, eine Übersicht zu deutschsprachigen Tinnitus-Apps zu erstellen und damit eine Orientierung für Forschung und Versorgung zu geben.
METHODS: Es wurde eine systematische Recherche (November 2020–April 2021) in den umsatzstärksten Stores (Google Play Store und Apple App Store) durchgeführt. Spezifisch für Tinnitus entwickelte Apps wurden von unabhängigen Wissenschaftlerinnen multiperspektivisch bewertet: (a) ein Qualitäts-Screening erfolgte anhand der deutschen Version der Mobile App Rating Scale (MARS-G), (b) Interventionselemente wurden mittels neu entwickelten Kategoriensystems und (c) implementierte Strategien für aktives Tinnitus-Management anhand von Techniken der Verhaltensänderung (Behavior Change Techniques, BCTs) analysiert.
UNASSIGNED: Die Suche ergab 1073 Apps, wobei 21 Apps in die Analyse eingingen. Die Apps wiesen nach MARS‑G eine mittlere Qualität auf (M = 3,37; SD = 0,39). Die meisten Apps boten Geräusche (n = 18) und Informationen (n = 9) an oder erfassten Charakteristika des Tinnitus (n = 13). 24 der 93 BCTs wurden mindestens einmal identifiziert. Nur eine App wurde in nicht-randomisierten Studien evaluiert.
CONCLUSIONS: Wenngleich eine Vielzahl von Apps vorliegt, fokussiert die Mehrzahl auf wenige Elemente (z. B. Geräusche und Informationen). Das Potenzial, über die Apps wichtige, evidenzbasierte Inhalte zur Tinnitusbewältigung zu vermitteln, wird damit nicht ausgeschöpft. Die multiperspektivische Evaluation zeigt Verbesserungspotenzial für Tinnitus-Apps auf.