A new measure of regulatory focus: Preventing measurement error by promoting best validation practices.

OBJECTIVE AND BACKGROUND: The goals of this project were to improve our understanding of chronic regulatory focus constructs and to provide researchers with a measure that adequately assesses the constructs, can distinguish individual differences effectively across the range of the constructs, and is appropriate for use in diverse populations. METHOD: Employing best practices in construct validation, we developed the International Personality Item Pool Regulatory Focus Scale (IPIP-RFS). Utilizing 14 samples (N = 4867), we established substantive (via expert ratings and regulatory focus literature), structural (via factor analysis, item response theory, and measurement invariance), and external (via convergent, discriminant, and predictive associations) validity. RESULTS: The IPIP-RFS adequately assesses the constructs of chronic promotion focus and prevention focus, can accurately assess individuals along the continua of the constructs, and is suitable for use among populations that vary in gender, race, and age. Individual differences in promotion focus reflect self-regulation and goal pursuit related to cognitive and behavioral exploration and flexibility (i.e., plasticity), whereas individual differences in prevention focus reflect self-regulation and goal pursuit related to motivational and interpersonal steadiness (i.e., stability). CONCLUSIONS: Promotion and prevention focus are important elements of personality with broad implications for functioning and outcomes in health and other important domains.

Linking measures to mechanisms of action in behavior change: A qualitative analysis of expert views.

RATIONALE: Testing mechanisms of action (MoAs) hypothesized to underlie behavior change can enhance intervention effectiveness. Rigorous measurement of putative mechanisms is critical to this effort, but measures are rarely validated with respect to target MoAs. OBJECTIVE: This study aimed to elucidate challenges of linking measures to putative MoAs and to identify priorities for future research. METHOD: This study was a systematic exploration of written comments by experts in behavioral intervention research and theories of behavior change (N = 20) capturing their opinions about a task querying whether self-report measures from the Science Of Behavior Change (SOBC) Measures Repository were related to a set of MoAs identified by the Human Behaviour Change Project (HBCP). RESULTS: Six themes were identified: 1) Study Value, 2) Measure Properties, 3) Mechanism Properties, 4) Miscellaneous Measure Concerns, 5) Conceptual Challenges, and 6) Approaches to Developing Measure-Mechanism Links. Experts noted challenges such as lack of measure validation, poor measure properties (e.g., double-barreled items), overly broad MoA definitions that limited their utility, lack of clarity around the term "related," and more. Nonetheless, experts expressed the importance of the exercise. Suggestions included developing and refining measures that are validate for assessing MoAs, clarifying and elaborating MoA definitions, and conducting further, more granular research. CONCLUSION: This systematic examination of expert comments highlights issues that need further investigation to advance behavioral science, specifically pertaining to identifying valid measures of MoAs in behavioral and process research. This study highlights the challenges and opportunities for future research on linking measures and MoA in behavioral science and subsequently enhancing the efficacy of behavioral interventions.

Effects of Exposure to Conflicting Health Information on Topic-Specific Information Sharing and Seeking Intentions.

Despite considerable evidence that exposure to conflicting health information can have undesirable effects on outcomes including public understanding about and trust in health recommendations, comparatively little is known about whether such exposure influences intentions to engage in two communication behaviors central to public health promotion: information sharing and information seeking. The purpose of the current study is to test whether exposure to conflicting information influences intentions to share and seek information about six health topics. We analyzed data from two waves of a longitudinal survey experiment with a nationally representative sample of U.S. adults (N = 3,920). Participants were randomly assigned to either a conflict or no-conflict message condition, in which they read news stories and social media posts about three (of six) randomly selected health topics at Time 1 and the remaining three at Time 2. The dependent variables, which were measured at Time 2, asked participants whether they intended to share or seek information about the three topics they had just viewed. Linear mixed effects models showed that exposure to conflict reduced intentions to share and seek information, regardless of health topic. These findings suggest that exposure to conflicting health information discourages two important types of health information engagement, thus adding to the growing evidence base documenting the adverse consequences of conflicting information for public health.

Consequences of receiving weight-related advice from a healthcare provider: Understanding the varied experiences of people with higher weight.

Healthcare providers regularly give weight-related advice (e.g., behavioral weight loss counseling) to patients with higher weight (BMI ≥30 kg/m2). The U.S. Preventive Services Task Force recommends this practice on the basis that behavioral weight-related advice can motivate patients to attempt weight loss; however, it is also possible that this advice has adverse consequences (e.g., negative psychological reactions). In this study, we examined people's reported reactions to a recent experience of receiving weight-related advice from a healthcare provider. U.S. adults (N = 189) with higher weight who reported having received weight-related advice completed an online survey via Prolific. They answered questions about their most recent experience of receiving weight-related advice, including the purpose of the visit, characteristics of their provider, and characteristics of the advice itself. They also provided demographic information and indicated their trust in healthcare providers and the healthcare system. 90.5% of participants (n = 171) reported having one of three types of reactions to their provider's weight-related advice. Participants (1) felt motivated to change their behaviors and weight; (2) felt bad or guilty about their behaviors and weight; or (3) felt both motivated to change and bad or guilty. Using chi-square tests of independence and one-way ANOVAs, we examined how various participant characteristics and characteristics of the visit, provider, and advice itself differed across these three groups. We found significant demographic differences across the groups and found that a disproportionate amount of people in the "motivated" group reported having requested the weight-related advice and having had a two-way discussion about weight with their provider. Whereas some people feel motivated after receiving weight-related advice from a healthcare provider, others are left feeling bad about themselves or ambivalent. Understanding these varied reactions may provide insights into how healthcare providers can deliver advice that is motivating without eliciting negative psychological reactions.

Effect of Intrapersonal and Interpersonal Behavior Change Strategies on Physical Activity Among Older Adults: A Randomized Clinical Trial.

Importance: Despite guidelines that recommend physical activity (PA), little is known about which types of behavior change strategies (BCSs) effectively promote sustained increases in PA in older adults who are insufficiently active. Objective: To determine whether intrapersonal BCSs (eg, goal setting) or interpersonal BCSs (eg, peer-to-peer sharing or learning) combined with the Otago Exercise Program (17 strength and balance exercises and a walking program that are learned and individually tailored, with instruction to perform 3 times per week at home or location of choice) and a wearable PA monitor help older adults sustain increases in their PA. Design, Setting, and Participants: This 2 × 2 factorial randomized clinical trial (Community-Based Intervention Effects on Older Adults' Physical Activity) of community-dwelling older adults 70 years or older with PA levels below minimum national PA guidelines was conducted in urban community centers. Dates of enrollment were from November 17, 2017, to June 15, 2021, with final follow-up assessments completed on September 2, 2022. Interventions: Participants were randomized to intrapersonal (eg, goal setting) BCSs, interpersonal (eg, problem-solving with peer-to-peer sharing and learning) BCSs, intrapersonal and interpersonal BCSs, or an attention control group. All interventions included a PA monitor and 8 weekly small-group meetings with discussion, practice, and instructions to implement the exercise program and relevant BCSs independently between meetings and after the intervention. Main Outcomes and Measures: The primary outcome was daily minutes of objectively measured total PA (light, moderate, or vigorous intensities) averaged over 7 to 10 days, measured at baseline and after the intervention at 1 week, 6 months, and 12 months. Results: Among 309 participants (mean [SD] age, 77.4 [5.0] years; 240 women [77.7%]), 305 (98.7%) completed the intervention, and 302 (97.7%) had complete data. Participants receiving PA interventions with interpersonal BCS components exhibited greater increases in total PA than did those who did not at 1 week (204 vs 177 PA minutes per day; adjusted difference, 27.1 [95% CI, 17.2-37.0]; P < .001), 6 months (195 vs 175 PA minutes per day; adjusted difference, 20.8 [95% CI, 10.0-31.6]; P < .001), and 12 months (195 vs 168 PA minutes per day; adjusted difference, 27.5 [95% CI, 16.2-38.8]; P < .001) after the intervention. Compared with participants who did not receive interventions with intrapersonal BCS components, participants who received intrapersonal BCSs exhibited no significant changes in total PA at 1 week (192 vs 190 PA minutes per day; adjusted difference, 1.8 [95% CI, -8.6 to 12.2]; P = .73), 6 months (183 vs 187 PA minutes per day; adjusted difference, -3.9 [95% CI, -15.0 to 7.1]; P = .49), or 12 months (177 vs 186 PA minutes per day; adjusted difference, -8.8 [95% CI, -20.5 to 2.9]; P = .14) after the intervention. Interactions between intrapersonal and interpersonal BCSs were not significant. Conclusions and Relevance: In this randomized clinical trial, older adults with low levels of PA who received interpersonal BCSs, the exercise program, and a PA monitor exhibited significant increases in their PA for up to 12 months after the intervention. Intrapersonal BCSs elicited no significant PA changes and did not interact with interpersonal BCSs. Our findings suggest that because effects of a PA intervention on sustained increases in older adults' PA were augmented with interpersonal but not intrapersonal BCSs, approaches to disseminating and implementing the intervention should be considered. Trial Registration: ClinicalTrials.gov Identifier: NCT03326141.

Furthering Scientific Inquiry for Weight Loss Maintenance: Assessing the Psychological Processes Impacted by a Low intensity Technology-Assisted Intervention (NULevel Trial).

BACKGROUND: NULevel was a randomized control trial to evaluate a technology-assisted weight loss maintenance (WLM) program in the UK. The program included: (a) a face-to-face goal-setting session; (b) an internet platform, a pedometer, and wirelessly connected scales to monitor and report diet, physical activity, and weight, and; (c) regular automated feedback delivered by mobile phone, tailored to participants' progress. Components were designed to target psychological processes linked to weight-related behavior. Though intervention participants showed increased physical activity, there was no difference in WLM between the intervention and control groups after 12 months (Sniehotta FF, Evans EH, Sainsbury K, et al. Behavioural intervention for weight loss maintenance versus standard weight advice in adults with obesity: A randomized controlled trial in the UK (NULevel Trial). PLoS Med. 2019; 16(5):e1002793. doi:10.1371/journal.pmed.1002793). It is unclear whether the program failed to alter targeted psychological processes, or whether changes in these processes failed to influence WLM. PURPOSE: We evaluate whether the program influenced 16 prespecified psychological processes (e.g., self-efficacy and automaticity toward diet and physical activity), and whether these processes (at 6 months) were associated with successful WLM (at 12 months). METHODS: 288 adults who had previously lost weight were randomized to the intervention or control groups. The control group received wireless scales and standard advice via newsletters. Assessments occurred in person at 0, 6, and 12 months. RESULTS: The intervention significantly altered 10 of the 16 psychological processes, compared with the control group. However, few processes were associated with WLM, leading to no significant indirect effects of the intervention via the processes on WLM. CONCLUSIONS: Changes in targeted processes were insufficient to support WLM. Future efforts may more closely examine the sequence of effects between processes, behavior, and WLM.

Many tools exist to help people lose weight, but it is common for people to regain that weight over time. Thus, understanding how to support the maintenance of weight loss remains a priority. The NULevel program was a 12-month weight loss maintenance (WLM) intervention for individuals who had recently lost weight. It promoted psychological factors, shown to be tied to weight-related behaviors, using face-to-face and technology-based (e.g., mobile phone feedback) elements. For example, the program encouraged making plans to improve lifestyles (e.g., exercise, better diet) and promoted people's confidence in these behaviors. However, the program was not more successful than a control condition in maintaining weight loss. We sought to understand why this occurred. We found that the program was indeed successful in influencing most of the psychological factors it targeted. Instead, it was the psychological factors that failed to predict WLM. Were the psychological factors insufficient to impact behavior? Or did the promoted behaviors fail to aid WLM? Future research should focus on answering such questions. Doing so would inform whether interventions should target different psychological factors to change behaviors, or choose different sets of behaviors to support WLM.

Applying Regulatory Focus Theory to Encourage Weight Loss in a Self-directed Intervention.

BACKGROUND: Regulatory focus theory proposes two self-regulatory systems: promotion focus-related to fulfilling aspirations and maximizing positive outcomes-and prevention focus-related to fulfilling responsibilities and avoiding negative outcomes. Building on research demonstrating associations between regulatory focus and weight outcomes, a proof-of-concept weight control intervention framed intervention procedures in terms of promotion or prevention focus and descriptively examined whether the impact of the intervention conditions depended on dispositional regulatory focus. METHODS: After random assignment to control (received pamphlet on diet and physical activity), promotion, or prevention conditions (1.5-hour baseline sessions; detailed manuals; 1-hour sessions at 3 months), community participants from a metropolitan area in the United States (N = 57; age M = 40; BMI M = 30.9) completed the Regulatory Focus Questionnaire and were weighed at baseline, 3 months, and 6 months. Longitudinal analysis was conducted with SAS Proc Mixed using restricted maximum likelihood estimation. RESULTS: Estimated weight change was -2.99 kg, 95% CI [-4.65, -1.32], in the promotion condition, -1.70 kg, 95% CI [-3.29, -0.12], in the prevention condition, and -0.18 kg, 95% CI [-1.42, 1.05], in the control condition. Exploratory analyses revealed that for relatively more promotion-focused participants, estimated weight change was -1.43 kg, 95% CI [-3.38, 0.51], in the promotion condition, +0.48 kg, 95% CI [-1.01, 1.97], in the prevention condition, and -1.09 kg, 95% CI [-2.32, 0.14], in the control condition. For relatively more prevention-focused participants, estimated weight change was -5.19 kg, 95% CI [-7.14, -3.25], in the promotion condition, -3.35 kg, 95% CI [-4.83, -1.86], in the prevention condition, and +0.42 kg, 95% CI [-0.81, 1.65], in the control condition. CONCLUSIONS: Results suggest that self-directed, promotion-focused interventions may be effective and that tailoring to self-regulatory dispositions may not be of additional benefit in initiating weight loss.

Investigating the day-level associations between affective variability and physical activity using ecological momentary assessment.

BACKGROUND: Understanding affect as a determinant of physical activity has gained increased attention in health behavior research. Fluctuations in affect intensity from moment-to-moment (i.e., affective variability) may interfere with cognitive and regulatory processes, making it difficult to engage in goal-directed behaviors such as physical activity. Preliminary evidence indicates that those with greater trait-level affective variability engage in lower levels of habitual physical activity. However, the extent to which daily fluctuations in affect variability are associated with same-day physical activity levels is unknown. This study used ecological momentary assessment (EMA) to investigate day-level associations between affective variability (i.e., within-subject variance) and physical activity. METHODS: Young adults (N = 231, M = 23.58 ± 3.02 years) provided three months of smartphone-based EMA and smartwatch-based activity data. Every two weeks, participants completed a 4-day EMA measurement burst (M = 5.17 ± 1.28 bursts per participant). Bursts consisted of hourly randomly-prompted EMA surveys assessing momentary positive-activated (happy, energetic), positive-deactivated (relaxed), negative-activated (tense, stressed), and negative-deactivated (sad, fatigued) affect. Participants continuously wore a smartwatch to measure physical activity across the three months. Mixed-effects location scale modeling examined the day-level associations of affective variability (i.e., positive-activated, positive-deactivated, negative-activated, and negative-deactivated) and physical activity, controlling for covariates such as mean levels of affect, between-subject effects of physical activity, time of day, day of week, day in study, and smartwatch wear time. RESULTS: There were 41,546 completed EMA surveys (M = 182.22 ± 69.82 per participant) included in the analyses. Above and beyond mean levels of affect, greater day-level variability in positive-activated affect was associated with greater physical activity on that same day compared to other days (τ = 0.01, p < .001), whereas greater day-level variability in negative-deactivated affect was associated with less physical activity on that same day compared to other days (τ = -0.01, p < .001). Day-level variability in positive-deactivated affect or negative-activated affect were not associated with day-level physical activity (ps > .05) CONCLUSIONS: Individuals were less active on days with greater variability in feeling sad and fatigued but more active on days with greater variability in feeling happy and energetic. Understanding the dynamic relationships of affective variability with day-level physical activity can strengthen physical activity interventions by considering how these processes differ within individuals and unfold within the context of daily life. Future research should examine causal pathways between affective variability and physical activity across the day.

Technical Assistance Received by Older Adults to Use Commercially Available Physical Activity Monitors (Ready Steady 3.0 Trial): Ad-Hoc Descriptive Longitudinal Study.

Background: Despite evidence that regular physical activity (PA) among older adults confers numerous health and functional benefits, PA participation rates are low. Using commercially available wearable PA monitors (PAMs) is one way to augment PA promotion efforts. However, while expert recommendations exist for the specific information needed at the beginning of PAM ownership and the general ongoing need for structures that support as-needed technical troubleshooting, information is lacking about the type, frequency, and modes of assistance needed during initial and long-term ownership. Objective: This paper describes problems reported and technical assistance received by older adults who used PAMs during the 18 months they participated in a community-based PA trial: Ready Steady 3.0 (RS3). Methods: This was an ad-hoc longitudinal analysis of process variables representing technical problems reported and assistance received by 113 RS3 study participants in the 18 months after their orientation to PAMs. Variables included date of contact, problem(s) reported, mode of technical assistance, and whether the equipment was replaced. The descriptive analysis included frequencies and incidence rates of distinct contacts, types of problems, and technical assistance modes. Results: On average, participants were aged 77 (SD 5.2) years. Most identified as female (n=87, 77%), reported experience using smartphones (n=92, 81.4%), and used the PAM between 2 and 18 months. Eighty-two participants (72.6%) reported between 1 to 9 problems with using PAMs, resulting in a total of 150 technical assistance contacts with a mean of 1.3 (SD 1.3) contacts. The incidence rate of new, distinct contacts for technical assistance was 99 per 100 persons per year from 2018 to 2021. The most common problems were wearing the PAM (n=43, 28.7%), reading its display (n=23, 15.3%), logging into its app (n=20, 13.3%), charging it (n=18, 12%), and synchronizing it to the app (n=16, 10.7%). The modalities of technical assistance were in person (n=53, 35.3%), by telephone (n=51, 34%), by email (n=25, 16.7%), and by postal mail (n=21, 14%). Conclusions: In general, the results of this study show that after receiving orientation to PAMs, problems such as uncomfortable wristbands, difficulty using the PAM or its related app, and obtaining or interpreting relevant personal data were occasionally reported by participants in RS3. Trained staff helped participants troubleshoot and solve these technical problems primarily in person or by phone. Results also underscore the importance of involving older adults in the design, usability testing, and supportive material development processes to prevent technical problems for the initial and ongoing use of PAMs. Clinicians and researchers should further assess technical assistance needed by older adults, accounting for variations in PAM models and wear time, while investigating additional assistance strategies, such as proactive support, short GIF videos, and video calls.

Sustaining positive perceptions of science in the face of conflicting health information: An experimental test of messages about the process of scientific discovery.

BACKGROUND: The public is often exposed to conflicting health information, with evidence of concerning consequences, yet little attention has been paid to identifying strategies that can mitigate its effects. OBJECTIVE: The current study tests whether three different approaches to communicating about the process of scientific discovery-a rational appeal using analogical evidence, a rational appeal using testimonial evidence, and a logic-based inoculation approach-could reduce the adverse effects of exposure to conflict by positively framing how people construe the scientific process, increasing their perceived knowledge about the scientific process, and helping them to respond to critiques about the scientific process, which, in turn, might make them less apt to counterargue the science they subsequently encounter in health news stories and other exposures to conflict. METHODS: We fielded a survey experiment in May 2022 with a national sample of U.S. adults (N = 1604). RESULTS: Providing any of the three messages about science prior to exposure to conflicting health information encouraged both positive construal of science and greater science knowledge perceptions and discouraged counterarguing science, compared to a control condition in which people were only exposed to conflict. Of the three messaging approaches tested, the testimonial evidence message was slightly more effective, but was also considered slightly more accurate, credible, and trustworthy. CONCLUSIONS: Developing and implementing messages that describe the process of scientific discovery could prove successful, not only in improving public perceptions of science but perhaps ultimately in better equipping people to make sense of conflicting information and its causes. However, additional research on such strategies is needed, particularly as part of larger interventions with multiple messages across multiple exposures, if they are to have implications for health and science communication.

Optimizing Longitudinal Tobacco Cessation Treatment in Lung Cancer Screening: A Sequential, Multiple Assignment, Randomized Trial.

Importance: Nearly half of the 14.8 million US adults eligible for lung cancer screening (LCS) smoke cigarettes. The optimal smoking cessation program components for the LCS setting are unclear. Objective: To assess the effect of adding a referral to prescription medication therapy management (MTM) to the tobacco longitudinal care (TLC) program among patients eligible for LCS who smoke and do not respond to early tobacco treatment and to assess the effect of decreasing the intensity of TLC among participants who do respond to early treatment. Design, Setting, and Participants: This randomized clinical trial included patients who currently smoked cigarettes daily and were eligible for LCS. Recruitment took place at primary care centers and LCS programs at 3 large health systems in the US and began in October 2016, and 18-month follow-up was completed April 2021. Interventions: (1) TLC comprising intensive telephone coaching and combination nicotine replacement therapy for 1 year with at least monthly contact; (2) TLC with MTM, MTM offered pharmacist-referral for prescription medications; and (3) Quarterly TLC, intensity of TLC was decreased to quarterly contact. Intervention assignments were based on early response to tobacco treatment (abstinence) that was assessed either 4 weeks or 8 weeks after treatment initiation. Main outcomes and Measures: Self-reported, 6-month prolonged abstinence at 18-month. Results: Of 636 participants, 228 (35.9%) were female, 564 (89.4%) were White individuals, and the median (IQR) age was 64.3 (59.6-68.8) years. Four weeks or 8 weeks after treatment initiation, 510 participants (80.2%) continued to smoke (ie, early treatment nonresponders) and 126 participants (19.8%) had quit (ie, early treatment responders). The 18 month follow-up survey response rate was 83.2% (529 of 636). Across TLC groups at 18 months follow-up, the overall 6-month prolonged abstinence rate was 24.4% (129 of 529). Among the 416 early treatment nonresponders, 6-month prolonged abstinence for TLC with MTM vs TLC was 17.8% vs 16.4% (adjusted odds ratio [aOR] 1.13; 95% CI, 0.67-1.89). In TLC with MTM, 98 of 254 participants (39%) completed at least 1 MTM visit. Among 113 early treatment responders, 6-month prolonged abstinence for Quarterly TLC vs TLC was 24 of 55 (43.6%) vs 34 of 58 (58.6%) (aOR, 0.54; 95% CI, 0.25-1.17). Conclusions and Relevance: In this randomized clinical trial, adding referral to MTM with TLC for participants who did not respond to early treatment did not improve smoking abstinence. Stepping down to Quarterly TLC among early treatment responders is not recommended. Integrating longitudinal tobacco cessation care with LCS is feasible and associated with clinically meaningful quit rates. Trial Registration: ClinicalTrials.gov Identifier: NCT02597491.

Which Intervention Strategies Promote the Adoption and Maintenance of Physical Activity? Evidence From Behavioral Trials With Cancer Survivors.

BACKGROUND/PURPOSE: We address four questions about interventions to promote physical activity in cancer survivors: (a) How often is both the adoption and maintenance of behavior change tested in trials? (b) How often do interventions generate adoption-plus-maintenance of behavior change? (c) Are intervention strategies specifically geared at promoting maintenance of behavior change deployed in trials? and (d) Which intervention strategies distinguish trials that promote both the adoption and maintenance of physical activity from trials that promote adoption-only or generate no behavioral changes? METHODS: Computerized literature searches identified 206 reports of randomized trials that measured physical activity in the wake of the intervention. RESULTS: Only 51 reports (24%) measured both behavioral adoption (postintervention) and behavioral maintenance (≥3 months follow-up). The 51 reports included 58 tests of interventions; 22% of tests observed both adoption and maintenance of physical activity, 26% reported adoption-only, and 52% found no change in behavior. Change techniques designed to promote behavioral maintenance were used much less frequently than adoption techniques or adoption and maintenance techniques. Interventions that aimed to improve quality of life, used supervised exercise sessions, were undertaken in community centers, and deployed fewer behavior change techniques were associated with adoption-plus-maintenance of physical activity in cancer survivors. CONCLUSIONS: The present findings offer new insights into the adoption and maintenance of physical activity and highlight the need to routinely assess these forms of behavior change in future trials. More extensive testing of intervention strategies specifically geared at maintenance of behavior change is warranted.

Cancer survivors need to not only adopt, but also maintain, physical activity to benefit their health and wellbeing. We undertook a systematic review of interventions to promote the adoption and maintenance of physical activity in cancer survivors. Out of 206 physical activity interventions for cancer survivors that we identified, only 51 (24%) measured both the adoption and maintenance of behavior change. Of these 51 intervention studies, only 22% were effective in promoting both the adoption and maintenance of physical activity. We developed a new classification of behavior change techniques used in interventions and discovered that techniques specifically designed to promote behavioral maintenance were used only rarely. We found that interventions that aimed to improve quality of life, used supervised exercise sessions, and were undertaken in community centers predicted adoption-plus-maintenance of physical activity in cancer survivors. These findings underscore the need for more trials that assess the adoption and maintenance of physical activity and for new research programs focused on evaluating the efficacy of maintenance techniques.

Rethinking how and when to report descriptions of behavior change content within interventions: a case study of an ongoing physical activity trial (ready steady 3.0).

Specifications of what and how much health behavior change (BC) content within research interventions are needed to advance BC science, its implementation, and dissemination. We analyzed the types and dosages of the smallest potentially active BC ingredients and associated behavioral prescriptions intended to be delivered in an ongoing physical activity optimization trial for older adults (Ready Steady 3.0 [RS3]). We defined BC types as behavior change techniques (BCT) and behavioral prescriptions. Our protocol integrated the BCT Taxonomy coding procedures with BCT roles (primary or secondary) and, when relevant, linkages to behavioral prescriptions. Primary BCTs targeted theoretical mechanisms of action, whereas secondary BCTs supported primary BCT delivery. Behavioral prescriptions represented what participants were encouraged to do with each primary BCT in RS3 (ascertain, practice, implement). We assessed dosage parameters of duration, frequency, and amount in each BCT and prescription. Results provided a catalog of in-depth, multidimensional content specifications with 12 primary BCTs, each supported by 2-7 secondary BCTs, with dosages ranging from 2 to 8 weeks, 1 to 8 contacts, and 5 to 451 minutes. Minutes spent on behavioral prescriptions varied: ascertain (1 to 41), practice (5 to 315), and implement (0 to 38). Results can be organized and summarized in varied ways (e.g., by content component) to strengthen future assessments of RS3 fidelity and intervention refinement. Results highlight potential benefits of this early, integrated approach to analyzing BC content and frames questions about how such information might be incorporated and disseminated with reporting research outcomes.

The focus of this case study was to assess what and how much behavior change content was within an intervention still under development­by integrating existing frameworks for classifying behavior change techniques, dosages, and behavioral prescriptions. Findings provide the first set of procedures available for collecting, coding, and analyzing data representing the types of behavior change techniques in an intervention, their durations, frequencies, and amounts, and their linkages to what participants are asked to do. Applying these procedures to the protocol and materials in an ongoing study (Ready Steady 3.0) yielded a detailed, multidimensional catalog of the smallest potentially active behavior change ingredients in its intervention, including behavior change techniques, intended uses, and intended dosages. Findings also showcased how this information can be summarized and organized in various ways to strengthen fidelity evaluations and future intervention development. Researchers can use and adapt these new procedures for reporting behavior change content within individual intervention studies. Findings also highlight the potential benefits of this early, integrated approach to analyzing behavior change content and frame questions about how such information might be incorporated and disseminated with reporting research outcomes.

The Psychological Science Accelerator's COVID-19 rapid-response dataset.

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.

Linking measures to mechanisms of action: An expert opinion study.

OBJECTIVE: This study sought to integrate the NIH Science of Behaviour Change (SOBC) measures repository comprising measures of putative mechanisms with mechanisms of action (MoA) identified by the Human Behaviour-Change Project (HBCP). DESIGN: Participants were 30 international experts recruited from professional networks and societies. In three anonymous virtual rounds, experts established consensus on hypothesized links between 26 MoAs and 44 self-report measures. METHODS: In Round 1, experts completed a survey rating agreement with 84 pre-identified measure-MoA links and suggested new links. In Round 2, experts discussed 10 links in an online forum, including pre-identified links with <50% agreement and new links suggested by 20-50% of experts. In Round 3, experts completed a survey rating all links eligible for discussion in Round 2. RESULTS: Twenty-seven experts completed Round 1, 23 completed Round 2 and 18 completed Round 3. In Round 1, 82 of 84 pre-identified links reached >50% agreement and 14 new links were suggested by >50% of experts. In Round 2, experts discussed measure-MoA links and measurement quality. In Round 3, 71 of 96 links reached ≥50% agreement. A total of 167 links reached >50% expert agreement, 33 of which reached ≥90% agreement. CONCLUSION: By identifying putative mechanisms (HBCP) for the 44 self-report measures (SOBC), this study advances the cumulation of scientific results and interoperability of resources to facilitate process research.

Activation Versus Change as a Principle Underlying Intervention Strategies to Promote Health Behaviors.

BACKGROUND AND PURPOSE: Interventions are effective in promoting health behavior change to the extent that (a) intervention strategies modify targets (i.e., mechanisms of action), and (b) modifying targets leads to changes in behavior. To complement taxonomies that characterize the variety of strategies used in behavioral interventions, we outline a new principle that specifies how strategies modify targets and thereby promote behavior change. We distinguish two dimensions of targets-value (positive vs. negative) and accessibility (activation level)-and show that intervention strategies operate either by altering the value of what people think, feel, or want (target change) or by heightening the accessibility of behavior-related thoughts, feelings, and goals (target activation). METHODS AND RESULTS: We review strategies designed to promote target activation and find that nudges, cue-reminders, goal priming, the question-behavior effect, and if-then planning are each effective in generating health behavior change, and that their effectiveness accrues from heightened accessibility of relevant targets. We also identify several other strategies that may operate, at least in part, via target activation (e.g., self-monitoring, message framing, anticipated regret inductions, and habits). CONCLUSIONS: The Activation Vs. Change Principle (AVCP) offers a theoretically grounded and parsimonious means of distinguishing among intervention strategies. By focusing on how strategies modify targets, the AVCP can aid interventionists in deciding which intervention strategies to deploy and how to combine different strategies in behavioral trials. We outline a research agenda that could serve to further enhance the design and delivery of interventions to promote target activation.

Understanding physical activity declines during COVID-19: The affective repercussions of disruption to exercise routines.

Recent research has examined psychological factors that forestalled declines in physical activity (PA) during the early stages of the COVID-19 pandemic. Surprisingly, there has been limited evidence of an association between intrinsic motivation (IM) and PA. We reasoned that IM may have not predicted PA because COVID-19 restrictions limited opportunities to engage in exercise in ways that produced positive affective experiences (i.e., inherent rewards). Using data from a cross-sectional survey (N = 373 participants), we tested a moderated mediation model that predicted perceived changes to affective experiences during exercise would mediate the association between disruption to one's exercise routine and self-reported declines in PA, and that effects would be moderated by IM. Evidence of moderated mediation was found, suggesting that disruptions to exercise routines were associated with fewer positive affective experiences during exercise that predicted declines in PA engagement, especially for people who typically exercised for intrinsic reasons.

Effects of Exposure to Conflicting Information About Mammography on Cancer Information Overload, Perceived Scientists' Credibility, and Perceived Journalists' Credibility.

Conflicting recommendations about mammography screening have received ample media coverage, emphasizing scientists' debate over the value of breast cancer screening and differences in professional organizations' guidelines about the appropriate starting age and frequency of routine mammograms. Whereas past research suggests that exposure to such media coverage of conflicting recommendations can have undesirable consequences, both on topic-specific (e.g., ambivalence about mammography) and more general outcomes (e.g., backlash toward cancer prevention recommendations), experimental evidence, especially for effects on more general health cognitions, is limited. Using data from a population-based sample of U.S. women aged 35-55 years (N = 1467), the current study experimentally tested whether exposure to news stories that varied in the level of conflict about mammography (no, low, medium, and high conflict) affected three general health cognitions-cancer information overload (CIO), perceived scientists' credibility, and perceived journalists' credibility. We further tested whether these effects varied by research literacy. Results showed that exposure to conflict increased women's perceived CIO and reduced their perceptions of journalists' credibility, and that these effects tapered off at higher levels of conflict. Exposure to conflict also reduced perceptions of scientists' credibility, but only among participants with lower levels of research literacy. Directions for future research and implications for mitigating these potentially adverse effects on public health are discussed.

Vulnerability to the Effects of Conflicting Health Information: Testing the Moderating Roles of Trust in News Media and Research Literacy.

BACKGROUND: Exposure to conflicting health information can produce negative affective and cognitive responses, including confusion and backlash, and the effects of this exposure can even "carry over" and reduce people's receptivity to subsequent messages about health behaviors for which there is scientific consensus. What is not known is whether certain population subgroups are more vulnerable to such carryover effects. AIMS: This study investigates whether carryover effects of exposure to conflicting information are moderated by two factors, trust in news media and research literacy, testing the hypothesis that lower trust and higher literacy could protect against such effects. METHOD: The analysis draws on data from a longitudinal population-based experiment (N = 2,716), in which participants were randomly assigned to view health news stories and social media posts that either did or did not feature conflicting information, and subsequently exposed to ads from existing health campaigns about behaviors for which there is scientific consensus. Structural equation modeling was used to test study hypotheses. RESULTS: Neither lower trust in news media nor higher research literacy protected against carryover effects, as effects were observed across levels of both trust and literacy. Although level of research literacy did not affect whether carryover effects were observed, it did shape how those effects emerged. CONCLUSION: The public, regardless of their level of trust in news media or research literacy, is vulnerable to the downstream effects of exposure to conflicting health information. Targeted health communication interventions are needed to improve messaging about evolving science and, in turn, increase receptivity to public health recommendations.

Contextual disruption and exercise: mapping changes to exercise routines and engagement during the COVID-19 pandemic.

OBJECTIVE: This study examines the impact of COVID-19 restrictions on exercise routines and engagement in moderate-vigorous physical activity (MVPA). DESIGN: Individuals (N = 397) who reported meeting recommended guidelines for MVPA prior to COVID-19 completed an online questionnaire during the United States' COVID-19 lockdowns in April/May 2020. MAIN OUTCOME MEASURES: Participants reported their MVPA currently and before COVID-19, and answered questions about five contextual cues (e.g. time of day, interaction partners, type of workout, surrounding events, location of exercise) that characterized their exercise routines currently and before COVID-19. RESULTS: Contextual cues were perceived as highly disrupted and less consistent during COVID-19 (vs. before) and these changes were associated with greater declines in MVPA. For each cue, distinct effects predicting MVPA declines also emerged for perceived disruption due to COVID-19 restrictions, perceived importance of cue in getting one to exercise, and cue consistency over time. CONCLUSION: Building on prior research, COVID-19 restrictions affected the context in which people exercised, and changes in these contextual cues were related to declines in MVPA. Re-establishing consistency in certain cues (e.g. time of day) after a disruption may help to forestall declines in MVPA compared to others (e.g. type of workout).