Circadian timing of eating and BMI among adults in the American Time Use Survey.

BACKGROUND/OBJECTIVES: Experimental studies of time-restricted eating suggest that limiting the daily eating window, shifting intake to the biological morning, and avoiding eating close to the biological night may promote metabolic health and prevent weight gain. SUBJECTS/METHODS: We used the Eating & Health Module of the 2006-2008 and 2014-2016 American Time Use Survey to examine cross-sectional associations of timing of eating in relation to sleep/wake times as a proxy for circadian timing with body mass index (BMI). The analytical sample included 38 302 respondents (18-64 years; BMI 18.5-50.0 kg/m2). A single 24-hour time use diary was used to calculate circadian timing of eating variables: eating window (time between first and last eating activity); morning fast (time between end of sleep and start of eating window); and evening fast (time between end of eating window and start of sleep). Multinomial logistic regression and predictive margins were used to estimate adjusted population prevalences (AP) by BMI categories and changes in prevalences associated with a one-hour change in circadian timing of eating, controlling for sociodemographic and temporal characteristics. RESULTS: A one-hour increase in eating window was associated with lower adjusted prevalence of obesity (AP = 27.1%, SE = 0.1%). Conversely, a one-hour increase in morning fast (AP = 28.7%, SE = 0.1%) and evening fast (AP = 28.5%, SE = 0.1%) were each associated with higher prevalence of obesity; interactions revealed differing patterns of association by combination of eating window with morning/evening fast (p < 0.0001). CONCLUSIONS: Contrary to hypotheses, longer eating windows were associated with a lower adjusted prevalence of obesity and longer evening fasts were associated with a higher prevalence of obesity. However, as expected, longer morning fast was associated with a higher adjusted prevalence of obesity. Studies are needed to disentangle the contributions of diet quality/quantity and social desirability bias in the relationship between circadian timing of eating and BMI.

Neuroticism, cancer mortality salience, and physician avoidance in cancer survivors: Proximity of treatment matters.

OBJECTIVE: To examine if the relationship between neuroticism and physician avoidance/physician visit concerns are mediated by perceptions that cancer is associated with death ("cancer mortality salience"; CMS) for cancer survivors to inform public health interventions and tailored health communications. METHODS: Cancer survivors comprised 42.3% of the total sample (n = 525). Participants completed a 4-item neuroticism scale, 4-item cancer perceptions scale, and 4-item physician avoidance and concerns scale. Multiple linear regression models were used to assess relationships among variables for cancer survivors and separately for those without a history of cancer. RESULTS: Neuroticism was positively associated with CMS for cancer survivors, b = 0.26, (p < 0.001), and those without cancer, b = 0.22, (p < 0.001). There was an association between neuroticism and physician avoidance among cancer survivors with temporally distant treatment courses after controlling for CMS, b = 0.56 (p = 0.006), but not for those currently or recently having had undergone treatment (p = 0.949). There was also an indirect relationship between neuroticism and physician visit concerns that was mediated by CMS for cancer survivors, b = 0.07, CI = [0.03, 0.13], but this relationship was again driven by cancer survivors with more distal treatment courses. CONCLUSIONS: High neuroticism in cancer survivors is associated with physician avoidance and physician visit concerns when treatment is temporally distant. Interventions aimed at decoupling the association between cancer and death can help increase the willingness of cancer survivors to attain cancer care follow-ups and healthcare more generally.

A qualitative exploration of facilitators and barriers of adherence to time-restricted eating.

Time-restricted eating (TRE), a dietary strategy that involves limiting daily energy intake to a window of ≤12 h is appealing for weight management and metabolic health due to its relative simplicity and the ability to consume ad libitum diet during eating windows. Despite the potential utility of TRE for improving health and reducing disease, the feasibility of adherence depends upon a variety of multilevel factors which are largely unexplored. The primary aim of our study was to explore facilitators and barriers of adherence to TRE among community-dwelling individuals. Semi-structured qualitative interviews were conducted among 24 individuals (50% male; M age: 34, range: 18-57; 58% overweight/obese) who currently or formerly practiced TRE. Thematic analysis identified facilitators of and barriers to TRE adherence at multiple levels of influence (i.e., biological, behavioral, psychosocial, environmental). Key facilitators of adherence included improvements in physical health and energy levels, alignment with other aspects of diet, exercise and sleep patterns, self-monitoring and positive psychological impacts, social support, and busy or regular schedules. Key barriers included negative physical health effects, feelings of hunger and sluggishness, difficulty in skipping valued baseline eating routines or inadequate diet quality during the eating window, misalignment of TRE with 24-h activity behaviors, difficulties with self-monitoring, the need to mitigate negative feelings, social situations that discourage TRE, and irregular or idle schedules. Results illustrate that key drivers of adherence differ across individuals and their unique settings and that multiple drivers of behavior should be considered in the successful implementation of TRE. Findings may inform interventions seeking to tailor TRE schedules to fit individuals' diverse behavioral patterns and preferences, thereby optimizing adherence.

Key milestones during 40 years of behavioral medicine at the National Institutes of Health.

The National Institutes of Health (NIH) has played a major role in promoting behavioral medicine research over the past 40 years through funding, review, and priority-setting activities and programs including scientific conferences, meetings, workgroups, intramural research, and training opportunities. In this review of NIH activities in support of behavioral medicine over the past four decades, we highlight key events, programs, projects, and milestones that demonstrate the many ways in which the NIH has supported behavioral and social sciences research and advanced the public health while contributing to the evolution of behavioral medicine as a scientific field.

Testing psychosocial interventions in context: Commentary on Beidas et al. (2023).

In their recent Viewpoint article, Beidas et al. (2023) argue that researchers should test psychosocial interventions in the contexts in which they are meant to be delivered and that they can accelerate the deployment of these interventions by advancing directly from pilot trials to effectiveness and implementation studies without conducting efficacy trials. In this commentary, we argue that this is a well-intended but problematic approach and that there is a more productive strategy for translational behavioral intervention research. The commentary discusses issues concerning intervention development, refinement, and optimization; pilot and efficacy testing of interventions; the contexts in which interventions are delivered; clinical practice guidelines; and quick versus programmatic answers to significant clinical research questions. Testing psychosocial interventions in the contexts in which they are meant to be delivered is a complex task for interventions that are designed to be used in a wide variety of contexts. Nevertheless, interventions can be tested in the contexts in which they are meant to be delivered without sacrificing programmatic intervention development or safety and efficacy testing. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Behavioral Medicine Research Council (BMRC) statement papers: A new approach to consensus building in behavioral medicine science.

The BMRC has initiated a new initiative, the Behavioral Medicine Research Council (BMRC) Scientific Statement papers. The statement papers will move the field forward by guiding efforts to improve the quality of behavioral medicine research and practice and facilitate the dissemination and translation of behavioral medicine research. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Time-Restricted Eating in Community-Dwelling Adults: Correlates of Adherence and Discontinuation in a Cross-Sectional Online Survey Study.

BACKGROUND: Time-restricted eating (TRE), a type of intermittent fasting in which all daily calories are consumed within a window of ≤12 hours, is hypothesized to promote long-term weight management because of its relative simplicity. OBJECTIVE: This study reports correlates of adherence among community-dwelling adults currently or formerly following a TRE dietary strategy. DESIGN: A 25-minute cross-sectional online survey was developed, including questions about TRE perceptions, behaviors, motivators and drivers, and demographics. The survey was administered in February 2021 via Prolific, an online platform for sample recruitment and survey dissemination. PARTICIPANTS: Eligibility criteria included US adult ages 18+ who currently or formerly (past 3 months) followed TRE (ie, consumed all daily calories within a window of ≤12 hours) for a minimum of 1 week. STATISTICAL ANALYSES: χ2 tests and analysis of covariance (ANCOVA; adjusting for sex and age) compared responses between current and former followers. RESULTS: Current followers (n = 296, mean [SD]: 34.2 ± 12.2y) were older than former followers (n = 295, mean [SD]: 31.1 ± 10.9 y) and practiced TRE for longer (median: 395 vs 90 days, P < 0.001). Current followers reported more success with meeting TRE goals (P ≤ 0.015), were less likely to report TRE concerns (P < 0.001), and more likely to report TRE satisfaction (P < 0.001). Four TRE motivators were more important among current (vs former) followers: weight maintenance, health (not weight), improved sleep, and preventing disease (P ≤ 0.017); weight loss was more important among former (vs current) followers (P = 0.003). Among adherence drivers, ability to work from home and the impact of COVID-19 were reported as more helpful for TRE adherence among current compared with former followers (P ≤ 0.028). CONCLUSIONS: TRE motivators and drivers differed between current and former followers; interventions tailored to individuals' preferences and circumstances may benefit TRE adherence.

Behavioral Research in Cancer Prevention and Control: Emerging Challenges and Opportunities.

It is estimated that behaviors such as poor diet, alcohol consumption, tobacco use, sedentary behavior, and excessive ultraviolet exposure account for nearly one-half of all cancer morbidity and mortality. Accordingly, the behavioral, social, and communication sciences have been important contributors to cancer prevention and control research, with methodological advances and implementation science helping to produce optimally effective interventions. To sustain these contributions, it is vital to adapt to the contemporary context. Efforts must consider ancillary effects of the 2019 coronavirus disease pandemic, profound changes in the information environment and public understanding of and trust in science, renewed attention to structural racism and social determinants of health, and the rapidly increasing population of cancer survivors. Within this context, it is essential to accelerate reductions in tobacco use across all population subgroups; consider new models of energy balance (diet, physical activity, sedentary behavior); increase awareness of alcohol as a risk factor for cancer; and identify better communication practices in the context of cancer-related decisions such as screening and genetic testing. Successful integration of behavioral research and cancer prevention depends on working globally and seamlessly across disciplines, taking a multilevel approach where possible. Methodological and analytic approaches should be emphasized in research training programs and should use new and underused data sources and technologies. As the leadership core of the National Cancer Institute's Behavioral Research Program, we reflect on these challenges and opportunities and consider implications for the next phase of behavioral research in cancer prevention and control.

Medication adherence: a call for action.

Poor adherence to efficacious cardiovascular-related medications has led to considerable morbidity, mortality, and avoidable health care costs. This article provides results of a recent think-tank meeting in which various stakeholder groups representing key experts from consumers, community health providers, the academic community, decision-making government officials (Food and Drug Administration, National Institutes of Health, etc), and industry scientists met to evaluate the current status of medication adherence and provide recommendations for improving outcomes. Below, we review the magnitude of the problem of medication adherence, prevalence, impact, and cost. We then summarize proven effective approaches and conclude with a discussion of recommendations to address this growing and significant public health issue of medication nonadherence.

From ideas to interventions: A review and comparison of frameworks used in early phase behavioral translation research.

Developing and testing more effective health-related behavioral interventions is critical to making progress in improving disease prevention and treatment. One way to achieve this goal is to use a systematic and progressive framework that outlines the steps needed to translate theories, findings, and basic understandings about human behavior into risk factor and disease management or mitigation strategies. Although several frameworks and process models have been designed to inform the development and optimization of health-related behavioral interventions, little guidance is available to compare key aspects of these models, clarify their common and unique features, and aid in selecting the best approach for a specific research question. This article describes the major frameworks that focus on early phase translation-that is, approaches that address the design and optimization of behavioral interventions before testing in Phase III efficacy trials. Differences between and common features of these models are described, opportunities for combining frameworks to maximize their impact are noted, and guidance is provided to enable investigators to choose the most useful model(s) when designing and optimizing health-related behavioral interventions. The goal of this article is to promote the consistent use of frameworks that encourage a systematic, progressive approach to behavioral intervention development and testing as one way to encourage the creation of well-characterized, optimized, and potentially more effective health-related behavioral interventions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

An introduction to the special issue: From ideas to efficacy in health psychology.

The impetus for the special issue, "From Ideas to Efficacy" was the perceived need to stimulate and support a more vibrant research base that translates basic behavioral and social science research (bBSSR) discoveries to clinical and public health interventions. This special issue presents novel research that advances translational behavioral science, focusing primarily on the early phases of behavioral translation that are not as well recognized as later-phase translational science (e.g., dissemination and implementation research). The special issue includes a series of empirical, conceptual, and methodological papers, and a shining example of translational research that has had important clinical implications for the treatment of obesity and prevention of people with prediabetes from transitioning to Type II diabetes. In this introduction we will first set the context of the special issue and briefly comment on the papers. We end with several ideas in the areas of funding, training and publication of early phase translational behavioral science that can accelerate the process through which new ideas from our deepening understanding of human behavior can be more rapidly and fully brought to bear on the pressing health problems facing our nation and our world. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Single case designs for early phase behavioral translational research in health psychology.

OBJECTIVE: The biomedical research community has long recognized that much of the basic research being conducted, whether in the biological, behavioral or social sciences, is not readily translated into clinical and public health applications. This translational gap is due in part to challenges inherent in moving research findings from basic or discovery research to applied research that addresses clinical or public health problems. In the behavioral and social sciences, research designs typically used in the early phases of translational research are small, underpowered "pilot" studies that may lack sufficient statistical power to test the research question of interest. While this approach is discouraged, these studies are often employed to estimate effect sizes before embarking on a larger trial with adequate statistical power to test the research hypothesis. The goal of this paper is to provide an alternative approach to early phase studies using single case designs (SCDs). METHOD: Review basic principles of SCDs; provide a series of hypothetical SCD replication experiments to illustrate (1) how data from SCDs can be analyzed to test the effects of an intervention on behavioral and biological outcomes and (2) how sample sizes can be derived for larger randomized controlled trials (RCTs) based on clinically meaningful effects from SCDs; and review feedback between SCDs and RCTs. RESULTS: The paper illustrates the use of SCD reversal and multiple baseline designs for early phase translational research. CONCLUSION: SCDs provide a flexible and efficient platform for the use of experimental methods in early phase translational research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Perspective: Time-Restricted Eating Compared with Caloric Restriction: Potential Facilitators and Barriers of Long-Term Weight Loss Maintenance.

A growing body of literature examines the potential benefits of a time-based diet strategy referred to as time-restricted eating (TRE). TRE, a type of intermittent fasting, restricts the time of eating to a window of 4-12 h/d but allows ad libitum intake during eating windows. Although TRE diets do not overtly attempt to reduce energy intake, preliminary evidence from small studies suggests that TRE can lead to concomitant reduction in total energy, improvements in metabolic health, and weight loss. Unique features of the TRE diet strategy may facilitate adherence and long-term weight loss maintenance. In this Perspective, we explore the potential multilevel (i.e., biological, behavioral, psychosocial, environmental) facilitators and barriers of TRE for long-term weight loss maintenance in comparison with the more commonly used diet strategy, caloric restriction (CR). Compared with CR, TRE may facilitate weight loss maintenance by counteracting physiological adaptations to weight loss (biological), allowing for usual dietary preferences to be maintained (behavioral), preserving executive functioning (psychosocial), and enabling individuals to withstand situational pressures to overeat (environmental). However, TRE may also pose unique barriers to weight loss maintenance, particularly for individuals with poor baseline diet quality, internal or social pressures to eat outside selected windows (e.g., grazers), and competing demands that interfere with the scheduling of eating. Future studies of TRE in free-living individuals should consider the multiple levels of influence impacting long-term adherence and weight loss maintenance. Ultimately, TRE could be one strategy in a toolkit of tailored diet strategies to support metabolic health and weight loss maintenance.

History of depression and survival after acute myocardial infarction.

OBJECTIVE: To compare survival in post-myocardial (MI) participants from the Enhancing Recovery In Coronary Heart Disease (ENRICHD) clinical trial with a first episode of major depression (MD) and those with recurrent MD, which is a risk factor for mortality after acute MI. Recent reports suggest that the level of risk may depend on whether the comorbid MD is a first or a recurrent episode. METHODS: Survival was compared over a median of 29 months in 370 patients with an initial episode of MD, 550 with recurrent MD, and 408 who were free of depression. RESULTS: After adjusting for an all-cause mortality risk score, initial Beck Depression Inventory score, and the use of selective serotonin reuptake inhibitor antidepressants, patients with a first episode of MD had poorer survival (18.4% all-cause mortality) than those with recurrent MD (11.8%) (hazard ratio (HR) = 1.4; 95% Confidence Interval (CI) = 1.0-2.0; p = .05). Both first depression (HR = 3.1; 95% CI = 1.6-6.1; p = .001) and recurrent MD (HR = 2.2; 95% CI = 1.1-4.4; p = .03) had significantly poorer survival than did the nondepressed patients (3.4%). A secondary analysis of deaths classified as probably due to a cardiovascular cause resulted in similar HRs, but the difference between depression groups was not significant. CONCLUSIONS: Both initial and recurrent episodes of MD predict shorter survival after acute MI, but initial MD episodes are more strongly predictive than recurrent episodes. Exploratory analyses suggest that this cannot be explained by more severe heart disease at index, poorer response to depression treatment, or a higher risk of cerebrovascular disease in patients with initial MD episodes.

Designing Interventions to Improve the Health of Women Using the ORBIT Model.

Researchers may find it difficult to transition from conducting descriptive, mechanistic, and associational studies to developing interventions based on those findings because little guidance is available. In this article, we present the Obesity-Related Behavioral Intervention Trials (ORBIT) model and describe its applicability in designing behaviorally oriented interventions for women. Adapted from drug development research on the translation of basic laboratory research to clinical practice, the ORBIT model emphasizes the pre-efficacy testing phases of intervention development. Phase I is focused on the definition and refinement of the intervention and incorporates various study designs, including experimental, observational, qualitative, and adaptive design. Phase II involves the use of single-group proof-of-concept, feasibility, and preliminary efficacy studies to show the feasibility and capacity of the intervention to produce change in an intermediate endpoint. Phase III involves the use of randomized controlled trials to test the efficacy of the intervention. We illustrate how the ORBIT model could be applied in a hypothetical intervention to increase a woman's sense of control of her life before behavioral weight loss efforts in the postpartum period.

The selection of comparators for randomized controlled trials of health-related behavioral interventions: recommendations of an NIH expert panel.

OBJECTIVES: To provide recommendations for the selection of comparators for randomized controlled trials of health-related behavioral interventions. STUDY DESIGN AND SETTING: The National Institutes of Health Office of Behavioral and Social Science Research convened an expert panel to critically review the literature on control or comparison groups for behavioral trials and to develop strategies for improving comparator choices and for resolving controversies and disagreements about comparators. RESULTS: The panel developed a Pragmatic Model for Comparator Selection in Health-Related Behavioral Trials. The model indicates that the optimal comparator is the one that best serves the primary purpose of the trial but that the optimal comparator's limitations and barriers to its use must also be taken into account. CONCLUSION: We developed best practice recommendations for the selection of comparators for health-related behavioral trials. Use of the Pragmatic Model for Comparator Selection in Health-Related Behavioral Trials can improve the comparator selection process and help resolve disagreements about comparator choices.

Nighttime heart rate and survival in depressed patients post acute myocardial infarction.

OBJECTIVES: To determine if: 1) depressed patients with a recent acute myocardial infarction (AMI) have higher nighttime heart rate (HR) than nondepressed patients, and 2) elevated nighttime HR is associated with decreased survival post AMI. Depression is a risk factor for mortality post AMI. It is also associated with sleep disturbances and with elevated HR, which may be more pronounced at night. Resting and 24-hour HR have been found to predict mortality in patient and community samples. METHODS: Ambulatory electrocardiographic data were obtained from 333 depressed patients and 383 nondepressed patients with recent AMI. They were followed for up to 30 months (median = 24 months). RESULTS: Depressed patients had higher nighttime HR (70.7 +/- 0.7 versus 67.7 +/- 0.6 beats per minute (bpm); p = .001), and daytime HR (76.4 +/- 0.7 versus 74.2 +/- 0.6 bpm; p = .02) than nondepressed patients, even after adjusting for potential confounds. Depression (hazard ratio (Haz R) = 2.19; p = .02) and nighttime HR (Haz R = 1.03; p = .004), but not daytime HR, predicted survival after adjusting for other major predictors and for each other. The interaction between nighttime HR and depression on survival approached, but did not achieve, significance (p = .08). CONCLUSIONS: Mean day and nighttime HR values are higher in depressed patients than in nondepressed patients post AMI. Depression and elevated nighttime HR, but not daytime HR, are independent predictors of survival in these patients. Although depressed patients have a higher nighttime HR than nondepressed patients, nighttime HR predicts mortality in both depressed and nondepressed patients.