Diabetes and Multiple Long-term Conditions: A Review of Our Current Global Health Challenge.

Use of effective treatments and management programs is leading to longer survival of people with diabetes. This, in combination with obesity, is thus contributing to a rise in people living with more than one condition, known as multiple long-term conditions (MLTC or multimorbidity). MLTC is defined as the presence of two or more long-term conditions, with possible combinations of physical, infectious, or mental health conditions, where no one condition is considered as the index. These include a range of conditions such as cardiovascular diseases, cancer, chronic kidney disease, arthritis, depression, dementia, and severe mental health illnesses. MLTC has major implications for the individual such as poor quality of life, worse health outcomes, fragmented care, polypharmacy, poor treatment adherence, mortality, and a significant impact on health care services. MLTC is a challenge, where interventions for prevention and management are lacking a robust evidence base. The key research directions for diabetes and MLTC from a global perspective include system delivery and care coordination, lifestyle interventions and therapeutic interventions.

Personalized (N-of-1) Trials for Patient-Centered Treatments of Multimorbidity.

Treatment of patients who suffer from concurrent health conditions is not well served by (1) evidence-based clinical guidelines that mainly specify treatment of single conditions and (2) conventional randomized controlled trials (RCTs) that identify treatments as safe and effective on average. Clinical decision-making based on the average patient effect may be inappropriate for treatment of those with multimorbidity who experience burdens and obstacles that may be unique to their personal situation. We describe how the personalized (N-of-1) trials can be integrated with an automatic platform and virtual/remote technologies to improve patient-centered care for those living with multimorbidity. To illustrate, we present a hypothetical clinical scenario-survivors of both coronavirus disease 2019 (COVID-19) and cancer who chronically suffer from sleeplessness and fatigue. Then, we will describe how the four standard phases of conventional RCT development can be modified for personalized trials and applied to the multimorbidity clinical scenario, outline how personalized trials can be adapted and extended to compare the benefits of personalized trials versus between-subject trial design, and explain how personalized trials can address special problems associated with multimorbidity for which conventional trials are poorly suited.

The influence of multi-morbidities on colorectal cancer screening recommendations and completion.

PURPOSE: Patients' chronic disease burden can influence the likelihood that providers will recommend cancer screening and that patients will participate in it. Using data from the STOP CRC pragmatic study, we examined associations between chronic disease burden and colorectal cancer screening recommendation and use. METHODS: Participating STOP CRC clinics (n = 26) received either usual care or training to implement a mailed fecal immunochemical test (FIT) outreach program. Selected clinic patients (n = 60,187 patients) were aged 50-74 and overdue for colorectal cancer screening. We used logistic regression to examine the associations between FIT recommendations and completion and patients' chronic disease burden, calculated using the Charlson Comorbidity Index and the Chronic Illness and Disability Payment System. RESULTS: For each index, FIT recommendation odds were 8-9% higher among individuals with minimal chronic disease burden and 13-23% lower among individuals with high chronic disease burden (inverted U-shaped association). Among adults who were ordered a FIT, FIT completion odds were 20% lower for individuals with any, versus no, chronic condition and diminished with increasing disease burden (inverse linear association). CONCLUSIONS: Analysis showed an inverted U-shaped association between patients' chronic disease burden and providers' recommendation of a FIT and an inverse linear association between patients' chronic disease burden and FIT completion. ClinicalTrials.gov registration: NCT01742065.

Bridging Behavioral Science with Cancer Prevention and Control: Contributions of an NCI Working Group (2009-2019).

Human behavior plays a central role in cancer-related morbidity and mortality. Much behavior is, in turn, attributable to several core biological, cognitive, emotional, motivational, and interpersonal processes. Understanding the systematic and interactive impact of these processes can inform efforts to address cancer-relevant outcomes such as tobacco use, reliance on cancer misinformation, engagement in genetic testing, adherence to treatment, and acceptance of palliative care. Here, we review efforts of the NCI-supported Cognitive, Affective, and Social Processes in Health Research working group. Since 2009, this group has endeavored to advance the integration of basic behavioral science with cancer prevention and control by addressing topics such as the degree to which behavioral interventions alter cognitions underlying behavior, how technological innovations might facilitate behavioral measurement and intervention in areas such as smoking cessation, whether decision science principles might be applied to genetic testing decisions, how the cognitive effects of chemotherapy impair self-regulation, and the extent to which emotional factors drive palliative care decisions. The group has initiated numerous activities to build capacity for research in these areas including state-of-the-science meetings, written syntheses, conference symposia, and training workshops. We conclude with reflections about future needs as well as how to sustain such integrative efforts.

Measuring Cigarette Smoking Risk Perceptions.

Risk perception is an important construct in many health behavior theories. Smoking risk perceptions are thoughts and feelings about the harms associated with cigarette smoking. Wide variation in the terminology, definition, and assessment of this construct makes it difficult to draw conclusions about the associations of risk perceptions with smoking behaviors. To understand optimal methods of assessing adults' cigarette smoking risk perceptions (among both smokers and nonsmokers), we reviewed best practices from the tobacco control literature, and where gaps were identified, we looked more broadly to the research on risk perceptions in other health domains. Based on this review, we suggest assessments of risk perceptions (1) about multiple smoking-related health harms, (2) about harms over a specific timeframe, and (3) for the person affected by the harm. For the measurement of perceived likelihood in particular (ie, the perceived chance of harm from smoking based largely on deliberative thought), we suggest including (4) unconditional and conditional items (stipulating smoking behavior) and (5) absolute and comparative items and including (6) comparisons to specific populations through (7) direct and indirect assessments. We also suggest including (8) experiential (ostensibly automatic, somatic perceptions of vulnerability to a harm) and affective (emotional reactions to a potential harm) risk perception items. We also offer suggestions for (9) response options and (10) the assessment of risk perception at multiple time points. Researchers can use this resource to inform the selection, use, and future development of smoking risk perception measures. IMPLICATIONS: Incorporating the measurement suggestions for cigarette smoking risk perceptions that are presented will help researchers select items most appropriate for their research questions and will contribute to greater consistency in the assessment of smoking risk perceptions among adults.

Cancer Symptom Recognition and Anticipated Delays in Seeking Care Among U.S. Adults.

INTRODUCTION: Early stage diagnosis strongly predicts cancer survival. Recognition of potential symptoms of cancer may improve survival by reducing time to seeking care. METHODS: Telephone interviews with a population-representative sample of English-speaking adults (aged ≥50 years) in the U.S. (N=1,425) were conducted in 2014 using an instrument adapted from the International Cancer Benchmarking Partnership Awareness and Beliefs about Cancer survey. Anticipated time to seeking care for four cancer symptoms (persistent cough, rectal bleeding, mole changes, and breast changes) was assessed, and delay was defined as waiting >2 weeks. Recognition of symptoms as potential cancer signs was assessed dichotomously. Multivariate logistic regression models were used to assess associations between symptom recognition and anticipated delay, adjusting for demographics, cancer experience, self-reported health, and healthcare access. Analyses were weighted and conducted in 2017. RESULTS: Symptom recognition varied but was relatively high across all symptoms (76.9%-95.5%). Anticipated delay varied by symptom and was highest for persistent cough (41.2%) and lowest for rectal bleeding (9.1%). For rectal bleeding (AOR=2.65, 95% CI=1.31, 5.36) and mole changes (AOR=3.30, 95% CI=1.48, 7.33), anticipated delay was more likely among individuals who did not recognize the symptom as a warning sign. Adults with lower education levels (p<0.05) and African Americans (p<0.05) were less likely to delay for some symptoms. CONCLUSIONS: Lack of symptom recognition was associated with anticipated delay in seeking care for some cancer symptoms. Differences in recognition and delays by symptom could be driven partly by screening messaging or by ambiguity and functional impact of each symptom.

Toward a Conceptual Model of Affective Predictions in Palliative Care.

CONTEXT: Being diagnosed with cancer often forces patients and families to make difficult medical decisions. How patients think they and others will feel in the future, termed affective predictions, may influence these decisions. These affective predictions are often biased, which may contribute to suboptimal care outcomes by influencing decisions related to palliative care and advance care planning. OBJECTIVES: This study aimed to translate perspectives from the decision sciences to inform future research about when and how affective predictions may influence decisions about palliative care and advance care planning. METHODS: A systematic search of two databases to evaluate the extent to which affective predictions have been examined in the palliative care and advance care planning context yielded 35 relevant articles. Over half utilized qualitative methodologies (n = 21). Most studies were conducted in the U.S. (n = 12), Canada (n = 7), or European countries (n = 10). Study contexts included end of life (n = 10), early treatment decisions (n = 10), pain and symptom management (n = 7), and patient-provider communication (n = 6). The affective processes of patients (n = 20), caregivers (n = 16), and/or providers (n = 12) were examined. RESULTS: Three features of the palliative care and advance care planning context may contribute to biased affective predictions: 1) early treatment decisions are made under heightened emotional states and with insufficient information; 2) palliative care decisions influence life domains beyond physical health; and 3) palliative care decisions involve multiple people. CONCLUSION: Biases in affective predictions may serve as a barrier to optimal palliative care delivery. Predictions are complicated by intense emotions, inadequate prognostic information, involvement of many individuals, and cancer's effect on non-health life domains. Applying decision science frameworks may generate insights about affective predictions that can be harnessed to solve challenges associated with optimal delivery of palliative care.

Clinical Usefulness of Bright White Light Therapy for Depressive Symptoms in Cancer Survivors: Results from a Series of Personalized (N-of-1) Trials.

Purpose: Little is known about the effectiveness of bright white light therapy (BWL) for depressive symptoms in cancer survivors, many of whom prefer non-pharmacological treatments. The purpose of this study was to compare the effectiveness of BWL versus dim red light therapy (DRL) on depressive symptoms within individual cancer survivors using personalized (N-of-1) trials. Methods: Cancer survivors with at least mild depressive symptoms were randomized to one of two treatment sequences consisting of counterbalanced crossover comparisons of three-weeks of lightbox-delivered BWL (intervention) or DRL (sham) for 30 min each morning across 12 weeks. A smartphone application guided cancer survivors through the treatment sequence and facilitated data collection. Cancer survivors tracked end-of-day depressive symptoms (primary outcome) and fatigue using visual analog scales. Within-patient effects of BWL were assessed using an autoregressive model with adjustment for linear time trends. Results: Eight of nine cancer survivors completed the 12-week protocol. Two survivors reported significantly (i.e., p < 0.05) lower depressive symptoms (-1.3 ± 0.5 and -1.30 ± 0.9 points on a 10-point scale), five reported no difference in depressive symptoms, and one reported higher depressive symptoms (+1.7 ± 0.6 points) with BWL versus DRL. Eight of nine cancer survivors recommended personalized trials of BWL to others. Conclusions: There were heterogeneous effects of three-week BWL on self-reported depressive symptoms among cancer survivors, with some finding a benefit but others finding no benefit or even harm. Implications for Cancer Survivors: Personalized trials can help cancer survivors learn if BWL is helpful for improving their depressive symptoms.

A Call for a Neuroscience Approach to Cancer-Related Cognitive Impairment.

Cancer-related cognitive impairment (CRCI) is a widespread problem for the increasing population of cancer survivors. Our understanding of the nature, causes, and prevalence of CRCI is hampered by a reliance on clinical neuropsychological methods originally designed to detect focal lesions. Future progress will require collaboration between neuroscience and clinical neuropsychology.

Extent of Exclusions for Chronic Conditions in Breast Cancer Trials.

Experts have expressed concerns that patients with chronic conditions are being excessively excluded from cancer randomized clinical trials (RCTs), limiting generalizability. Accordingly, we queried clinicaltrials.gov to determine the extent to which patients with chronic conditions were excluded from phase III cancer trials, using National Cancer Institute-sponsored breast cancer RCTs as a test case. Two physicians independently coded for the presence of 19 prevalent chronic conditions within eligibility criteria. They also coded for exclusions based on performance status and vague criteria that could have broadly excluded patients with chronic conditions. The search identified 58 RCTs, initiated from 1993 to 2012. Overall, 88% of trials had at least one exclusion for a chronic condition, performance status, or vague criterion. The three most commonly excluded conditions were chronic kidney disease, heart failure, and ischemic heart disease. Our study demonstrated that patients with prevalent chronic conditions were commonly excluded from National Cancer Institute-sponsored RCTs.

Interdisciplinary Perspectives on Sun Safety.

Overexposure to the sun is associated with an increased risk of melanoma and nonmelanoma skin cancer, but indications of improvements in sun protection behavior are poor. Attempts to identify emerging themes in skin cancer control have largely been driven by groups of experts from a single field. In December 2016, 19 experts from various disciplines convened for Interdisciplinary Perspectives on Skin Cancer, a 2-day meeting hosted by the National Academy of Sciences. The group discussed knowledge gaps, perspectives on sun exposure, implications for skin cancer risk and other health outcomes, and new directions. Five themes emerged from the discussion: (1) The definition of risk must be expanded, and categories for skin physiology must be refined to incorporate population diversities. (2) Risky sun exposure often co-occurs with other health-related behaviors. (3) Messages must be nuanced to target at-risk populations. (4) Persons at risk for tanning disorder must be recognized and treated. (5) Sun safety interventions must be scalable. Efficient use of technologies will be required to sharpen messages to specific populations and to integrate them within multilevel interventions. Further interdisciplinary research should address these emerging themes to build effective and sustainable approaches to large-scale behavior change.

Lay Awareness of the Relationship between Age and Cancer Risk.

BACKGROUND: Cross-sectional studies suggest many people are unaware that cancer risk increases with age, but this misbelief has rarely been studied prospectively, nor are its moderators known. PURPOSE: To assess whether people recognize that cancer risk increases with age and whether beliefs differ according to gender, education, smoking status, and family history of cancer. METHODS: First, items from the cross-sectional Health Information National Trends Survey (n = 2069) were analyzed to examine the association of age and perceived cancer risk. Second, the prospective National Survey of Midlife Development in the United States (n = 3896) was used to assess whether perceived cancer risk changes over a decade. Third, beliefs about the age at which cancer occurs were analyzed using the US Awareness and Beliefs about Cancer survey (n = 1080). As a comparator, perceived risk of heart disease was also examined. RESULTS: Cross-sectionally, older age was associated with lower perceived cancer risk but higher perceived heart disease risk. Prospectively, perceived cancer risk remained stable, whereas perceived heart attack risk increased. Seventy percent of participants reported a belief that cancer is equally likely to affect people of any age. Across three surveys, women and former smokers/smokers who recently quit tended to misunderstand the relationship between age and cancer risk and also expressed relatively higher perceived cancer risk overall. CONCLUSIONS: Data from three national surveys indicated that people are unaware that age is a risk factor for cancer. Moreover, those who were least aware perceived the highest risk of cancer regardless of age.

A Biobehavioral Framework to Address the Emerging Challenge of Multimorbidity.

Multimorbidity, the co-occurrence of multiple physical or psychological illnesses, is prevalent particularly among older adults. The number of Americans with multiple chronic diseases is projected to increase from 57 million in 2000 to 81 million in 2020. However, behavioral medicine and health psychology, while focusing on the co-occurrence of psychological/psychiatric disorders with primary medical morbidities, have historically tended to ignore the co-occurrence of primary medical comorbidities, such as diabetes and cancer, and their biopsychosocial implications. This approach may hinder our ecologically valid understanding of the etiology, prevention, and treatment for individual patients with multimorbidity. In this selective review, we propose a heuristic behavioral framework for the etiology of multimorbidity. More acknowledgment and systematic research on multiple, co-existing disorders in behavioral medicine are consistent with the biopsychosocial model's emphasis on treating the "whole person," which means not considering any single illness, its symptoms, risk factors, or mechanisms, in isolation. As systems analytics, big data, machine learning, and mixed-model trajectory analyses, among others, come online and become more widely available, we may be able to tackle multimorbidity more holistically, efficiently, and satisfactorily.

Communicating tobacco product harm: Compared to what?

With the expansion of tobacco product options, a better understanding is needed of how information about the known and unknown risks of products is communicated to the public. Engaging in comparative processes is an common way for people to understand novel products, but the referent of comparison matters and can influence perceptions and behavior. This paper builds awareness of research from other disciplines, including decision science, marketing, and psychology, which can help inform research and tobacco control efforts.

Cancer control falls squarely within the province of the psychological sciences.

Against the background of cancer as a contemporary public health challenge, this article presents a selective overview of psychological science contributions to cancer control research, practice, and policy. Initial contributions were circumscribed to awareness campaigns and the assessment of emotional responses to diagnosis and treatment. As evidence linking certain behaviors to cancer risk and outcomes accumulated, psychology emerged as a "hub science" in the Nation's cancer control program. Despite substantial accomplishments, new societal trends further challenge our ability to reduce risk, incidence, and deaths from cancer and enhance quality of life for cancer survivors. Evidence generated from psychological research conducted within each cell of Pasteur's quadrant continues to be relevant and necessary for effective 21st-century approaches to cancer prevention and control at the individual, clinical, and population levels.

How robust is the association between smoking and depression in adults? A meta-analysis using linear mixed-effects models.

INTRODUCTION: Our objective was to use meta-analytic techniques to assess the strength of the overall relationship and role of potential moderators in the association between smoking and depression in adults. METHODS: Two popular health and social science databases (PubMed and PsycINFO) were systematically searched to identify studies which examined the association between adult smoking behavior and major depressive disorder (MDD) or depressive symptoms. A total of 85 relevant studies were selected for inclusion. Studies were analyzed using a linear mixed effects modeling package ("lme4" for R) and the Comprehensive Meta-Analysis program version 2. RESULTS: Multiple nested linear mixed-effects models were compared. The best fitting models were those that included only random study effects and smoking status. In cross-sectional studies, current smokers were more likely to be depressed than never smokers (OR=1.50, CI=1.39-1.60), and current smokers were more likely to be depressed than former smokers (OR=1.76, CI=1.48-2.09). The few available prospective studies, that used the requisite statistical adjustments, also showed smokers at baseline had greater odds of incident depression at follow-up than never smokers (OR=1.62, CI=1.10-2.40). CONCLUSIONS: In cross-sectional studies, smoking was associated with a nearly two-fold increased risk of depression relative to both never smokers and former smokers. In the smaller set of prospective studies, the odds of subsequent depression were also higher for current than never smokers. Attesting to its robustness, the relationship between smoking and depression was exhibited across several moderators. Findings could help health care providers to more effectively anticipate co-occurring health issues of their patients. Several methodological recommendations for future research are offered.

New approaches to understand cognitive changes associated with chemotherapy for non-central nervous system tumors.

CONTEXT: Researchers have described a constellation of cognitive deficits (e.g., impairments in executive functions, working memory, attention, and information-processing speed) associated with cancer treatment, and specifically chemotherapy, for non-central nervous system tumors. However, findings have been inconsistent, largely because of measurement and study design issues. OBJECTIVES: To propose ways for researchers to more clearly delineate and characterize the mild cognitive deficits and related outcomes that appear to affect a subset of cancer patients and suggest methods to make more effective use of the existing data to understand risk factors for impaired neuropsychological functioning. METHODS: We examined the literature on the relationship between chemotherapy and cognitive impairment, as well as related literature on neuropsychological measurement, structural and functional neuroimaging, alternative measures of health outcomes, and integrative data analysis. RESULTS: A more comprehensive picture of cognitive functioning might be obtained by incorporating nontraditional ecological measures, self-reports, computational modeling, new neuroimaging methods, and markers of occupational functioning. Case-control and integrative data analytic techniques potentially could leverage existing data to identify risk factors for cognitive dysfunction and test hypotheses about the etiology of these effects. CONCLUSION: There is a need to apply new research approaches to understand the real-world functional implications of the cognitive side effects of chemotherapy to develop and implement strategies to minimize and remediate these effects before, during, and after cancer treatment.

Rumors about cancer: content, sources, coping, transmission, and belief.

Using a sense-making and threat management framework in rumor psychology, the authors used an exploratory web survey (n = 169) to query members of online cancer discussion groups about informal cancer statements heard from nonmedical sources (i.e., cancer rumors). Respondents perceived that rumors helped them cope. Dread rumors exceeded wish rumors; secondary control (control through emotional coping) rumors outnumbered primary control (direct action) rumors. Rumor content focused on cancer lethality, causes, and suffering. Rumors came primarily from family or friends in face-to-face conversations. Respondents discussed rumors with medical personnel primarily for fact-finding purposes, but with nonmedical people for altruistic, emotional coping, or relationship enhancement motives. Transmitters (vs. nontransmitters) considered rumors to be more important, were more anxious, and felt rumors helped them cope better, but did not believe them more strongly or feel that they were less knowledgeable about cancer. Most respondents believed the rumors; confidence was based on trust in family or friends (disregarding source nonexpertise) and concordance with beliefs, attitudes, and experience. Results point toward the fruitfulness of using rumor theory to guide research on cancer rumors and suggest that rumors help people achieve a sense of emotional control for dreaded cancer outcomes, inform the social construction of cancer, and highlight the continuing importance of nonelectronic word of mouth.

Efficacy of smoking-cessation interventions for young adults: a meta-analysis.

CONTEXT: Approximately 22% of U.S. young adults (aged 18-24 years) are smokers. Young adults typically display an interest in quitting, but it is unknown whether the evidence-based cessation programs designed for adults will be equally effective for young adults. This meta-analysis investigated the efficacy of smoking-cessation programs for this population. EVIDENCE ACQUISITION: In 2009-2011, studies published between 2004 and 2008 that investigated smoking cessation were first found through the DHHS Clinical Practice Guidelines for Treating Tobacco Use and Dependence as well as a PubMed search (2009-2010) and were then subjected to a rigorous inclusion process. Authors were contacted to glean raw data for young adults. Fourteen studies provided data that were coded for descriptive information and aggregated using the Comprehensive Meta-Analysis, version 2.0. EVIDENCE SYNTHESIS: Among young adults, any type of intervention was more effective in producing successful smoking cessation than the control. This was the case for intent-to-treat analyses as well as complete cases. When interventions were effective for the larger adult sample, they were also effective for the younger adult sample. CONCLUSIONS: Although young adults tend to underutilize evidence-based cessation treatments, the current meta-analysis showed that these treatments should be as effective for young adults as they are for the general adult population. Thus, it may be useful to focus on motivating young adults to seek cessation treatment to increase utilization.

Informatics-enabled behavioral medicine in oncology.

For the practicing physician, the behavioral implications of preventing, diagnosing, and treating cancer are many and varied. Fortunately, an enhanced capacity in informatics may help create a redesigned ecosystem in which applying evidence-based principles from behavioral medicine will become a routine part of care. Innovation to support this evolution will be spurred by the "meaningful use" criteria stipulated by the Health Information Technology for Economic and Clinical Health Act of 2009 and by focused research and development efforts within the broader health information ecosystem. The implications for how to better integrate evidence-based principles in behavioral medicine into oncology care through both spheres of development are discussed within the framework of the cancer control continuum. The promise of using the data collected through these tools to accelerate discovery in psycho-oncology is also discussed. If nurtured appropriately, these developments should help accelerate successes against cancer by altering the behavioral milieu.