Explore the vast range of titles available.

The Common-Sense Model of Self-Regulation (the “Common-Sense Model”, CSM) is a widely used theoretical framework that explicates the processes by which patients become aware of a health threat, navigate affective responses to the threat, formulate perceptions of the threat and potential treatment actions, create action plans for addressing the threat, and integrate continuous feedback on action plan efficacy and threat-progression. A description of key aspects of the CSM’s history—over 50 years of research and theoretical development—makes clear the model’s dynamic underpinnings, characteristics, and assumptions. The current article provides this historical narrative and uses that narrative to highlight dynamic aspects of the model that are often not evaluated or utilized in contemporary CSM-based research. We provide suggestions for research advances that can more fully utilize these dynamic aspects of the CSM and have the potential to further advance the CSM’s contribution to medical practice and patients’ self-management of illness.

Background Falls are the leading cause of injury related morbidity and mortality in older adults. Primary and secondary prevention strategies that address modifiable risk factors are critically important to reduce the number of falls and fall related injuries. A number of evidence-based fall prevention programs are available, but few offer potential for broad dissemination and public health impact due to implementation barriers, such as a need for trained program leaders and clinicians. Methods The study will use a randomized controlled trial design to evaluate incorporating physical therapy exercises (primary prevention strategy) within an existing intervention called Walk with Ease. While Walk with Ease has an established evidence-base related to the management of arthritis pain and symptoms, the present study will determine the potential to also reduce falls and fall risk in community-dwelling older adults. The integrated process and outcome evaluation will determine the relative effectiveness of individually-prescribed exercises (compared to standardized exercises) as well as the potential of ‘habit training’ resources (relative to generic behavior prompts) to improve compliance with exercises in this population. Discussion The study, conducted through a local clinical-community partnership will advance both the science and practice of community-based fall prevention programming, while also informing implementation strategies needed to promote broader dissemination. Trial registration ClinicalTrials.gov, NCT05693025, Registered January 20, 2023, Updated March 1, 2023.

Background: The mutual maintenance model proposes that post-traumatic stress disorder (PTSD) symptoms and chronic physical symptoms have a bi-directional temporal relationship. Despite widespread support for this model, there are relatively few empirical tests of the model and these have primarily examined patients with a traumatic physical injury. Objective: To extend the assessment of this model, we examined the temporal relationship between PTSD and physical symptoms for military personnel deployed to combat (i.e., facing the risk of death) who were not evacuated for traumatic injury. Methods: The current study used a prospective, longitudinal design to understand the cross-lagged relationships between PTSD and physical symptoms before, immediately after, 3 months after, and 1 year after combat deployment. Results: The cross-lagged results showed physical symptoms at every time point were consistently related to greater PTSD symptoms at the subsequent time point. PTSD symptoms were related to subsequent physical symptoms, but only at one time-point with immediate post-deployment PTSD symptoms related to physical symptoms at three months after deployment. Conclusion: The findings extend prior work by providing evidence that PTSD and physical symptoms may be mutually maintaining even when there is not a severe traumatic physical injury. * We followed soldiers from before to after combat and found a high comorbidity of PTSD and physical symptoms.* PTSD and physical symptoms were mutually maintaining among soldiers who did not experience a traumatic injury resulting in hospitalization.

ABSTRACT BACKGROUND Even though medications can greatly reduce the risk of recurrent stroke, medication adherence is suboptimal in stroke survivors. OBJECTIVE To identify key barriers to medication adherence in a predominantly low-income, minority group of stroke and transient ischemic attack (TIA) survivors. DESIGN Cross-sectional study. PARTICIPANTS Six hundred stroke or TIA survivors, age ≥ 40 years old, recruited from underserved communities in New York City. MAIN MEASURES Medication adherence was measured using the 8-item Morisky Medication Adherence Questionnaire. Potential barriers to adherence were assessed using validated instruments. Logistic regression was used to test which barriers were independently associated with adherence. Models were additionally controlled for age, race/ethnicity, income, and comorbidity. KEY RESULTS Forty percent of participants had poor self-reported medication adherence. In unadjusted analyses, compared to adherent participants, non-adherent participants had increased concerns about medications (26 % versus 7 %, p  < 0.001), low trust in their personal doctor (42 % versus 29 %, p  = 0.001), problems communicating with their doctor due to language (19 % versus 12 %, p  = 0.02), perceived discrimination from the health system (42 % versus 22 %, p  < 0.001), difficulty accessing health care (16 % versus 8 %, p  = 0.002), and inadequate continuity of care (27 % versus 20 %, p  = 0.05). In the fully adjusted model, only increased concerns about medications [OR 5.02 (95 % CI 2.76, 9.11); p  < 0.001] and perceived discrimination [OR 1.85 (95 % CI 1.18, 2.90); p  = 0.008] remained significant barriers. CONCLUSIONS Increased concerns about medications (related to worry, disruption, long-term effects, and medication dependence) and perceived discrimination were the most important barriers to medication adherence in this group. Interventions that reduce medication concerns have the greatest potential to improve medication adherence in low-income stroke/TIA survivors.

Background Many adults with major depressive disorder (MDD) do not engage in treatment and may also not respond when current frontline treatments are completed. Resistance exercise training (RET) is an understudied behavioral treatment option, which may help with MDD management through improving cerebral blood flow that is commonly impaired in adults with MDD. The purpose of this study is to use gold-standard research methods to determine the validity (clinical efficacy) of RET for treating MDD and to determine potential cerebrovascular pathways through which RET might improve MDD symptoms. Methods This study will be a randomized controlled trial of 200 adults with DSM-5-diagnosed MDD of at least mild severity. Participants will be randomized to 16 weeks of twice-weekly RET at either guidelines-based high dose (60% one-repetition maximum initial load; n  = 100) or a low-dose/SHAM (30% one-repetition maximum initial load; n  = 100) progressive, upper- and lower-body program using resistance machines. The primary clinical outcomes of this trial are depressive symptom severity, assessed via clinician-rated GRID-Hamilton Depression Rating Scale and self-reported Quick Inventory of Depressive Symptomatology. Secondary outcomes that will examine potential mediators are cerebral blood flow (via cerebral blood velocity and pulsatility) and self-efficacy (via New General Self-Efficacy Scale and RET Task Self-Efficacy). Group differences will be evaluated during assessment visits at weeks 0 (Baseline), 8, 16 (Post-Intervention), 26, and 52. Additional analyses will explore predictors of treatment success and participants’ maintenance of the RET past the active intervention. Discussion RET is an understudied behavioral treatment for MDD. This randomized controlled trial will critically build on previous studies by using a large sample size, rigorously examining potential (provocative, plausible) biological and psychological mechanisms of RET’s hypothesized antidepressant effects, and determining potential persistent effects with short- and long-term follow-up assessments. If clinical efficacy is confirmed, RET would be added as a highly translatable, accessible, low-cost alternative treatment option for individuals with MDD. Further effectiveness and implementation research would be required if efficacy is confirmed in this trial. Trial registration This trial is registered on ClinicaTrials.gov (ID: NCT06110897; October 20th, 2023; https://clinicaltrials.gov/study/NCT06110897 ).

Habit strength for taking medication is associated with medication adherence. However, habit strength is typically measured via self-reports, which have limitations. Objective sensors may provide advantages to self-reports. To evaluate whether habit-strength metrics derived from objective sensor data (MEMS® Caps; AARDEX Group) are associated with self-reported habit strength and adherence (objective and self-reported) and whether objective and self-reported habit strength are independently associated with adherence. Patients (N = 79) on oral medications for type 2 diabetes completed self-reports of habit strength and medication adherence and used MEMS® Caps to take their prescribed medication for one month. MEMS® Caps data were used to create five objective metrics of habit strength (e.g., individual-level variance in pill timing) and quantify medication adherence (% days correct dosing). Consistency in behavior from week to week (versus across each day) had the greatest association with self-reported habit strength (r(78) = 0.29, p = 0.01), self-reported adherence (r(78) = 0.32, p = 0.005), and objective adherence (r(78) = 0.61, p < 0.001). Objective and self-reported habit strength were independently associated with adherence. Weekly pill-timing consistency may be more useful than daily pill-timing consistency for predicting adherence and understanding patients’ medication-taking habits. Self-reports and objective metrics of habit strength may be measuring different constructs, warranting further research.

Non-adherence to health behaviors required for chronic illness self-management is pervasive. Advancing health-behavior theory to include behavioral initiation and maintenance factors, including reflective (e.g., belief- and feedback-based) and automatic (e.g., habit-based) mechanisms of adherence to different treatment-related behaviors could improve non-adherence prediction and intervention efforts. To test behavioral initiation and maintenance factors from an extended common sense self-regulation theoretical framework for predicting medication adherence and physical activity among patients with Type 2 diabetes. Patients (n = 133) in an in-person (n = 80) or online (n = 53) version of the study reported treatment-related (1) barriers, (2) beliefs and experiential feedback (reflective mechanisms of treatment-initiation and short-term repetition), and (3) habit strength (automatic mechanism of treatment-maintenance) for taking medication and engaging in regular physical activity at baseline. Behaviors were assessed via self-reports (n = 133) and objectively (electronic monitoring pill bottles, accelerometers; n = 80) in the subsequent month. Treatment-specific barriers and habit strength predicted self-reported and objective adherence for both behaviors. Beliefs were inconsistently related to behavior, even when habits were “weak”. Experiential feedback from behavior was not related to adherence. Among patients with Type 2 diabetes diagnosis, medication and physical activity adherence were better predicted by their degree of automatic behavioral repetition than their beliefs/experiences with the treatment-actions. Habit strength should be an intervention target for chronic illness self-management; assessing it in practice settings may effectively detect non-adherence to existing treatment-regimens. However, future research and further refining of CS-SRM theory regarding the processes required for such habit development are needed.

Background Diurnal preference (and chronotype more generally) has been implicated in exercise behavior, but this relation has not been examined using objective exercise measurements nor have potential psychosocial mediators been examined. Furthermore, time-of-day often moderates diurnal preference’s influence on outcomes, and it is unknown whether time-of-exercise may influence the relation between chronotype and exercise frequency. Purpose The current study examined whether individual differences in diurnal preference (“morningness-eveningness”) predict unique variance in exercise frequency and if commonly studied psychosocial variables mediate this relation (i.e., behavioral intentions, internal exercise control, external exercise control, and conscientiousness). Moreover, the study sought to test whether individuals’ typical time-of-exercise moderated the impact of diurnal preference on exercise frequency. Methods One hundred twelve healthy adults (mean age = 25.4; SD  = 11.6 years) completed baseline demographics and then wore Fitbit Zips® for 4 weeks to objectively measure exercise frequency and typical time-of-exercise. At the end of the study, participants also self-reported recent exercise. Results Diurnal preference predicted both self-reported exercise and Fitbit-recorded exercise frequency. When evaluating mediators, only conscientiousness emerged as a partial mediator of the relation between diurnal preference and self-reported exercise. In addition, time-of-exercise moderated diurnal preference’s relation to both self-reported exercise and Fitbit-recorded exercise frequency such that diurnal preference predicted higher exercise frequency when exercise occurred at a time that was congruent with one’s diurnal preference. Conclusion Based on these findings, diurnal preference is valuable, above and beyond other psychological constructs, in predicting exercise frequency and represents an important variable to incorporate into interventions seeking to increase exercise.

While widely used and endorsed, there is limited evidence supporting the benefits of activity trackers for increasing physical activity; these devices may be more effective when combined with additional strategies that promote sustained behavior change like motivational interviewing (MI) and habit development. This study aims to determine the utility of wearable activity trackers alone or in combination with these behavior change strategies for promoting improvements in active and sedentary behaviors. A sample of 91 adults (48/91 female, 53%) was randomized to receive a Fitbit Charge alone or in combination with MI and habit education for 12 weeks. Active and sedentary behaviors were assessed pre and post using research-grade activity monitors (ActiGraph and activPAL), and the development of habits surrounding the use of the trackers was assessed postintervention with the Self-Reported Habit Index. During the intervention, Fitbit wear time and activity levels were monitored with the activity trackers. Linear regression analyses were used to determine the influence of the trial on outcomes of physical activity and sedentary time. The influence of habits was examined using correlation coefficients relating habits of tracker use (wearing the tracker and checking data on the tracker and associated app) to Fitbit wear time and activity levels during the intervention and at follow-up. Regression analyses revealed no significant differences by group in any of the primary outcomes (all P>.05). However, personal characteristics, including lower baseline activity levels (beta=-.49, P=.01) and lack of previous experience with pedometers (beta=-.23, P=.03) were predictive of greater improvements in moderate and vigorous physical activity. Furthermore, for individuals with higher activity levels at the baseline, MI and habit education were more effective for maintaining these activity levels when compared with receiving a Fitbit alone (eg, small increase of ~48 steps/day, d=0.01, vs large decrease of ~1830 steps/day, d=0.95). Finally, habit development was significantly related to steps/day during (r=.30, P=.004) and following the intervention (r=.27, P=.03). This study suggests that activity trackers may have beneficial effects on physical activity in healthy adults, but benefits vary based on individual factors. Furthermore, this study highlights the importance of habit development surrounding the wear and use of activity trackers and the associated software to promote increases in physical activity. ClinicalTrials.gov NCT03837366; https://clinicaltrials.gov/ct2/show/NCT03837366.

Planning-based interventions are often used to help individuals form habits. Existing literature suggests a one-size-fits all approach to habit formation, but planning interventions may be optimized if tailored to individual differences and/or behavioral complexity. We test the hypothesis that planning to do a relatively complex behaviour (exercise) at a time that matches an individuals’ diurnal preference will facilitate behavioral engagement; whereas for a simpler behaviour (calcium supplementation), the optimal time-of-day for a new behavior will occur in the morning. Young, women volunteers (N = 317) were randomly assigned to take calcium supplements or to exercise for 4 weeks and to control (no planning) or to one of three planning interventions (morning plan; evening plan; unassigned-time plan). Participants reported diurnal preference at baseline and habit strength and behavioral frequency weekly. Fitbit Zips and Medication Event Monitoring System Caps (MEMS) were used to objectively assess behavioral engagement. Multilevel modelling found that calcium-supplementation was greatest for morning-types in the morning-cue condition, whereas exercise was greatest for morning-types with morning cues and evening-types with evening cues. Habit-formation strategies may depend on diurnal preference and behavioral complexity. Future research can evaluate the role of other individual differences.