Evaluating the impact of individuals' morningness-eveningness on the effectiveness of a habit-formation intervention for a simple and a complex behavior.

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.

Evaluating Objective Metrics of habit strength for taking medications.

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.

Time-of-Day Differences in Treatment-Related Habit Strength and Adherence.

BACKGROUND: Many of our daily behaviors are habitual, occurring automatically in response to learned contextual cues, and with minimal need for cognitive and self-regulatory resources. Behavioral habit strength predicts adherence to actions, including to medications. The time of day (morning vs. evening) may influence adherence and habit strength to the degree that stability of contexts/routines varies throughout the day. PURPOSE: The current study evaluates whether patients are more adherent to morning versus evening doses of medication and if morning doses show evidence of greater habit strength than evening doses. METHODS: Objective adherence data (exact timing of pill dosing) were collected in an observational study by electronic monitoring pill bottles in a sample of patients on twice-daily pills for Type 2 diabetes (N = 51) over the course of 1 month. RESULTS: Data supported the hypothesis that patients would miss fewer morning than evening pills. However, counter to the hypothesis, variability in dose timing (an indicator of habit strength) was not significantly different for morning versus evening pills. CONCLUSIONS: Findings suggest that medication adherence may be greater in the morning than in the evening. However, more research is needed to evaluate the role of habitual action in this greater adherence. Furthermore, future research should evaluate the validity of behavioral timing consistency as an indicator of habit strength.

Source-Orientation and Avoidance/Approach-Orientation are Important Components of Introjected Regulation for Leisure-Time Physical Activity.

Introjected regulation has been inconsistently linked to physical activity, which may be due to it being an umbrella construct for different types of introjected regulation that have the potential to be differentially related to behavior. We evaluated (1) whether self-oriented approach, self-oriented avoidance, other-oriented approach, and other-oriented avoidance were distinct constructs from one another and from identified regulation, and (2) whether the following were related to physical activity engagement from strongest to weakest: self-oriented approach, self-oriented avoidance, other-oriented approach, and other-oriented avoidance. Behavioral regulations were measured at baseline, physical activity was measured via self-report at baseline and follow-up, and using daily diaries (N = 336). A factor analysis revealed a four-factor solution: general approach, self-oriented avoidance, other-oriented avoidance, and identified regulation. Self-oriented avoidance was the strongest predictor of physical activity, followed by general approach, and other-oriented avoidance. Including measures that capture these subdimensions of introjected regulation in future research has the potential to clarify inconsistent relationships in the literature.

Accelerating Our Science: Finding Innovative Solutions to Tomorrow's Health Challenges.

This introduction to the special issue outlines key ways that behavioral medicine researchers can accelerate their science. The authors highlight the 2020 Society of Behavioral Medicine's annual meeting plenary sessions, that fit this theme.

Coping with Medically Unexplained Physical Symptoms: the Role of Illness Beliefs and Behaviors.

BACKGROUND: Medically unexplained syndromes (MUS) are both prevalent and disabling. While illness beliefs and behaviors are thought to maintain MUS-related disability, little is known about which specific behavioral responses to MUS are related to disability or the way in which beliefs and behaviors interact to impact functioning. The purpose of the present study was to examine the relationship between illness beliefs and disability among patients with MUS, and assess the extent to which behaviors mediate this relationship. METHODS: The study examined data from the baseline assessment of a multi-site randomized controlled trial (RCT). Participants were 248 veterans with MUS. Illness beliefs, behavioral responses to illness, and disability were assessed through self-report questionnaire. Data were analyzed using mediation analysis. RESULTS: Threat-related beliefs predicted greater disability through decreased activity and increased practical support seeking. Protective beliefs predicted less disability through reductions in all-or-nothing behavior and limiting behavior. CONCLUSIONS: These outcomes suggest that all-or-nothing behavior, limiting behavior, and practical support seeking are important in the perpetuation of disability among those with MUS. This has implications for improving MUS treatment by highlighting potential treatment targets. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02161133.

Cultural incongruity predicts adjustment to college for student veterans.

Little is known about what predicts student service members' and veterans' (SSM/V) adjustment to college. In qualitative research, SSM/V report feeling they do not belong and are misunderstood by college communities, a phenomenon that counseling psychologists call cultural incongruity. The goal of the current study was to quantitatively examine the relationship between cultural incongruity and adjustment to college. We surveyed 814 SSM/V about their adjustment to college using the Student Adaptation to College Questionnaire. Cultural incongruity was operationalized in two ways: feelings of not belonging were measured via direct report and the association with adjustment to college assessed with regression. Feelings of being misunderstood about academic barriers were assessed by comparing SSM/V's perceptions of academic barriers and SSM/V's perceptions of how others view the SSM/V's academic barriers and the association with adjustment was assessed using polynomial regression and response surface analysis. Cultural incongruity predicted adjustment to college. After controlling for other known predictors, feelings of not belonging accounted for 18% of the variance in adjustment to college. Polynomial regression showed that feeling understood about academic barriers protected against the negative impact of the barrier on adjustment to college. Cultural incongruity predicts adjustment to college for SSM/V. Helping SSM/V feel their unique barriers to college adjustment are understood may blunt the impact of these barriers. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Empirical Evaluation of Veterans' Perceived Non-Concordance with Providers Regarding Medically Unexplained Symptoms.

Medically unexplained symptoms (MUS) are common among veterans and are difficult to treat. Optimal treatment entails continued care from providers, including primary care and counseling psychologists. Non-concordance between veterans' and providers' views of MUS may contribute to poor veteran satisfaction with care and possibly disengagement with care (e.g., non-adherence to treatment recommendations, including counseling and graded exercise). The current study surveyed 243 veterans with MUS post-deployment and evaluated the degree of non-concordance perceived by veterans with their primary care providers regarding their MUS and the effect of perceived non-concordance on treatment behaviors and outcomes. Many veterans in the current sample perceived non-concordance with their provider regarding their MUS (19% reporting quite a bit or complete disagreement). Perceived non-concordance (regarding MUS overall and specific causal perceptions) predicted important outcomes of interest, particularly veterans' satisfaction with their provider. Perceived concordance with primary care doctors may be required for sufficient adherence to MUS treatment recommendations, such as seeking and maintaining psychological counseling. Research should evaluate the effect of perceived concordance with the counseling psychologist on adherence to and outcomes from counseling for MUS.

Medically Unexplained Physical Symptoms: What They Are and Why Counseling Psychologists Should Care about Them.

Medically unexplained symptoms and syndromes (MUS) affect the health of 20%-30% of patients seen in primary care. Optimally, treatment for these patients requires an interdisciplinary team consisting of both primary care and mental health providers. By developing an expertise in MUS, counseling psychologists can improve the care of patients with MUS who are already in their practice, expand the number of patients they help, and enhance the integration of counseling psychology into the broader medical community. Additionally, counseling psychologists' expertise in culture, attunement to therapeutic processes, and our focus on prioritizing patients' perspectives and quality of life can fill the gap in research on MUS and bringing increased attention to counseling psychologists' unique contributions to health service delivery.

Assessing the Multidimensional Relationship Between Medication Beliefs and Adherence in Older Adults With Hypertension Using Polynomial Regression.

Background: The Necessity-Concerns Framework (NCF) is a multidimensional theory describing the relationship between patients' positive and negative evaluations of their medication which interplay to influence adherence. Most studies evaluating the NCF have failed to account for the multidimensional nature of the theory, placing the separate dimensions of medication "necessity beliefs" and "concerns" onto a single dimension (e.g., the Beliefs about Medicines Questionnaire-difference score model). Purpose: To assess the multidimensional effect of patient medication beliefs (concerns and necessity beliefs) on medication adherence using polynomial regression with response surface analysis. Methods: Community-dwelling older adults >65 years (n = 1,211) presenting their own prescription for antihypertensive medication to 106 community pharmacies in the Republic of Ireland rated their concerns and necessity beliefs to antihypertensive medications at baseline and their adherence to antihypertensive medication at 12 months via structured telephone interview. Results: Confirmatory polynomial regression found the difference-score model to be inaccurate; subsequent exploratory analysis identified a quadratic model to be the best-fitting polynomial model. Adherence was lowest among those with strong medication concerns and weak necessity beliefs, and adherence was greatest for those with weak concerns and strong necessity beliefs (slope ß = -0.77, p<.001; curvature ß = -0.26, p = .004). However, novel nonreciprocal effects were also observed; patients with simultaneously high concerns and necessity beliefs had lower adherence than those with simultaneously low concerns and necessity beliefs (slope ß = -0.36, p = .004; curvature ß = -0.25, p = .003). The difference-score model fails to account for the potential nonreciprocal effects. Conclusion: Results extend evidence supporting the use of polynomial regression to assess the multidimensional effect of medication beliefs on adherence.

The Impact of E-diaries and Accelerometers on Young Adults' Perceived and Objectively Assessed Physical Activity.

OBJECTIVE: E-diaries and accelerometers promise more objective, real-time measurements of health behavior. However, social-psychological theory suggests that using electronic behavioral monitoring may influence rather than just record physical activity (PA), especially when a device is novel. DESIGN: Participants (n=146) were randomly assigned to either an accelerometer-only, e-diary-only, accelerometer+e-diary, or a no-technology control group for one week to assess how these technologies influenced PA, both perceived and actual, in young adults. METHOD: Participants reported their PA, overall and number of discrete exercise sessions (DES) at baseline and follow-up; accelerometers provided daily step counts and e-diaries captured daily reports of PA for the active week of the study. RESULTS: Average daily steps in the accelerometer-only and accelerometer+e-diary groups did not differ nor did daily reports of PA via e-diary compared to accelerometer+e-diary group, showing that neither technology affected actual PA. ANCOVAS tested group differences in perceived PA; The accelerometer-only group had increased perceived overall PA but not DES compared to no-technology control. CONCLUSIONS: Accelerometers may increase perceived overall PA, but the tested technologies did not increase DES or actual PA, suggesting that they may be viable unbiased measures of PA.

The Common-Sense Model of Self-Regulation (CSM): a dynamic framework for understanding illness self-management.

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.

Self-management of chronic illness: the role of 'habit' versus reflective factors in exercise and medication adherence.

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.

The necessity-concerns framework: a multidimensional theory benefits from multidimensional analysis.

BACKGROUND: Patients' medication-related concerns and necessity-beliefs predict adherence. Evaluation of the potentially complex interplay of these two dimensions has been limited because of methods that reduce them to a single dimension (difference scores). PURPOSE: We use polynomial regression to assess the multidimensional effect of stroke-event survivors' medication-related concerns and necessity beliefs on their adherence to stroke-prevention medication. METHODS: Survivors (n = 600) rated their concerns, necessity beliefs, and adherence to medication. Confirmatory and exploratory polynomial regression determined the best-fitting multidimensional model. RESULTS: As posited by the necessity-concerns framework (NCF), the greatest and lowest adherence was reported by those necessity weak concerns and strong concerns/weak Necessity-Beliefs, respectively. However, as could not be assessed using a difference-score model, patients with ambivalent beliefs were less adherent than those exhibiting indifference. CONCLUSIONS: Polynomial regression allows for assessment of the multidimensional nature of the NCF. Clinicians/Researchers should be aware that concerns and necessity dimensions are not polar opposites.

Stroke survivors' endorsement of a "stress belief model" of stroke prevention predicts control of risk factors for recurrent stroke.

Perceptions that stress causes and stress-reduction controls hypertension have been associated with poorer blood pressure (BP) control in hypertension populations. The current study investigated these "stress-model perceptions" in stroke survivors regarding prevention of recurrent stroke and the influence of these perceptions on patients' stroke risk factor control. Stroke and transient ischemic attack survivors (N=600) participated in an in-person interview in which they were asked about their beliefs regarding control of future stroke; BP and cholesterol were measured directly after the interview. Counter to expectations, patients who endorsed a "stress-model" but not a "medication-model" of stroke prevention were in better control of their stroke risk factors (BP and cholesterol) than those who endorsed a medication-model but not a stress-model of stroke prevention (OR for poor control=.54, Wald statistic=6.07, p=.01). This result was not explained by between group differences in patients' reported medication adherence. The results have implications for theory and practice, regarding the role of stress belief models and acute cardiac events, compared to chronic hypertension.

Feasibility and preliminary efficacy of a theory-informed resistance exercise training single-arm intervention for major depression.

Many adults with major depressive disorder (MDD) do not receive effective treatment. The potential benefits of resistance exercise training (RET) are understudied and may be mechanistically related to cerebral blood flow changes. PURPOSE: To assess feasibility, acceptability, and preliminary efficacy of a 16-week, theory-informed RET trial for the treatment of MDD and explore changes in cerebral blood flow. METHODS: Ten adults with DSM-5-diagnosed MDD were enrolled in a single-arm, 16-week, twice-weekly, whole-body RET intervention, consistent with US and WHO Physical Activity resistance exercise guidelines. To build intrinsic motivation and develop exercise-preparatory habits, motivators and commitment were discussed weekly. Screening, enrollment, and intervention attendance and compliance rates documented feasibility. At baseline and weeks 8, 16, and 26, current MDD diagnosis, clinician-rated, and self-reported symptom severity were evaluated along with cerebral blood flow which was assessed as middle cerebral artery (MCA) mean blood velocity, conductance, and pulsatility. RESULTS: Nine participants completed the intervention. Strong feasibility and acceptability (98 % adherence, 93 % compliance, and 90 % retention) were found. MDD remission was reached by 8/9 participants at week 16 and persisted through week 26. There were large decreases in clinician-rated and self-reported symptoms at each assessment (Hedges' g = 0.84-2.13). There were small-to-moderate increases in MCA velocity (g = 0.32-0.57) and conductance (g = 0.20-0.76) across time, with minimal changes in pulsatility (all g < 0.21). CONCLUSIONS: Preliminary results suggest RET for MDD treatment is feasible and plausibly efficacious, finding large antidepressant effects. A sufficiently powered randomized controlled trial to assess RET's efficacy for treating MDD via potential cerebrovascular mechanisms is warranted.

Key barriers to medication adherence in survivors of strokes and transient ischemic attacks.

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.

Congruence research in behavioral medicine: methodological review and demonstration of alternative methodology.

Researchers in behavioral medicine are using methods to study the effect of congruence between two predictors (e.g., patient and provider preferences for patient-decision making) on outcomes (e.g., patient satisfaction and adherence) that may compromise the validity of their results and conclusions. The current paper reviews the methods used in behavioral medicine for the study of congruence effects and the problems associated with those methods-namely, that difference-score-based and artificial-group-based methods increase the risk of both Types I and II error and constrain the theoretical hypotheses that researchers are able to assess. The current paper explains and demonstrates a possible alternative method, polynomial regression, that may be used in some instances of congruence research and that avoids many of the problems of currently used methods; the current paper provides the first analysis of behavioral-medicine data using this method. Methodological advancement in health-related congruence research can help advance theory and optimize intervention-design.

Ramifications of behavioural complexity for habit conceptualisation, promotion, and measurement.

Behavioural theories, predictions, and interventions should be relevant to complex, real-world health behaviours and conditions. Habit theory and habit formation interventions show promise for predicting and promoting, respectively, longer-term behaviour change and maintenance than has been attained with theories and interventions focused only on deliberative behavioural factors. However, the concept of habit has largely been treated as uniform across different types of behaviours. In this conceptual review, we contend that the definitional aspects of habit differ at a conceptual level for simple versus more complex behaviours, with ramifications for prediction, promotion, and measurement of habits. Specifically, habits are defined as direct context-response associations learned through repeatedly rewarded responding - but what is meant by 'response' and 'reward' depends upon the complexity of the behaviour. We review literature that suggests (1) responses in complex habits have separable and substitutable components (vs a single and static, unitary component) and (2) rewards for complex habits are necessarily continued and intrinsic (vs temporary and extrinsic, respectively). We discuss some empirical and theoretical questions raised by these issues around behavioural complexity and habit. Lastly, we outline the ramifications of these issues for habit measurement (habit strength and habit formation) via self-report and objective measures.