Health behavior change: can genomics improve behavioral adherence?

Research gaps and opportunities in precision nutrition: an NIH workshop report

Precision nutrition is an emerging concept that aims to develop nutrition recommendations tailored to different people's circumstances and biological characteristics. Responses to dietary change and the resulting health outcomes from consuming different diets may vary significantly between people based on interactions between their genetic backgrounds, physiology, microbiome, underlying health status, behaviors, social influences, and environmental exposures. On 11-12 January 2021, the National Institutes of Health convened a workshop entitled "Precision Nutrition: Research Gaps and Opportunities" to bring together experts to discuss the issues involved in better understanding and addressing precision nutrition. The workshop proceeded in 3 parts: part I covered many aspects of genetics and physiology that mediate the links between nutrient intake and health conditions such as cardiovascular disease, Alzheimer disease, and cancer; part II reviewed potential contributors to interindividual variability in dietary exposures and responses such as baseline nutritional status, circadian rhythm/sleep, environmental exposures, sensory properties of food, stress, inflammation, and the social determinants of health; part III presented the need for systems approaches, with new methods and technologies that can facilitate the study and implementation of precision nutrition, and workforce development needed to create a new generation of researchers. The workshop concluded that much research will be needed before more precise nutrition recommendations can be achieved. This includes better understanding and accounting for variables such as age, sex, ethnicity, medical history, genetics, and social and environmental factors. The advent of new methods and technologies and the availability of considerably more data bring tremendous opportunity. However, the field must proceed with appropriate levels of caution and make sure the factors listed above are all considered, and systems approaches and methods are incorporated. It will be important to develop and train an expanded workforce with the goal of reducing health disparities and improving precision nutritional advice for all Americans.

Psychosocial-Behavioral Phenotyping: A Novel Precision Health Approach to Modeling Behavioral, Psychological, and Social Determinants of Health Using Machine Learning

BACKGROUND

The context in which a behavioral intervention is delivered is an important source of variability and systematic approaches are needed to identify and quantify contextual factors that may influence intervention efficacy. Machine learning-based phenotyping methods can contribute to a new precision health paradigm by informing personalized behavior interventions. Two primary goals of precision health, identifying population subgroups and highlighting behavioral intervention targets, can be addressed with psychosocial-behavioral phenotypes. We propose a method for psychosocial-behavioral phenotyping that models social determinants of health in addition to individual-level psychological and behavioral factors.

PURPOSE

To demonstrate a novel application of machine learning for psychosocial-behavioral phenotyping, the identification of subgroups with similar combinations of psychosocial characteristics.

METHODS

In this secondary analysis of psychosocial and behavioral data from a community cohort (n = 5,883), we optimized a multichannel mixed membership model (MC3M) using Bayesian inference to identify psychosocial-behavioral phenotypes and used logistic regression to determine which phenotypes were associated with elevated weight status (BMI ≥ 25kg/m2).

RESULTS

We identified 20 psychosocial-behavioral phenotypes. Phenotypes were conceptually consistent as well as discriminative; most participants had only one active phenotype. Two phenotypes were significantly positively associated with elevated weight status; four phenotypes were significantly negatively associated. Each phenotype suggested different contextual considerations for intervention design.

CONCLUSIONS

By depicting the complexity of psychological and social determinants of health while also providing actionable insight about similarities and differences among members of the same community, psychosocial-behavioral phenotypes can identify potential intervention targets in context.

A staged approach to address youth unresponsive to initial obesity intervention: a randomized clinical trial

Background/objective

Maintenance interventions inherently require BMI improvement to maintain. This overlooks individuals initially unresponsive to obesity interventions. Staged pediatric clinical treatment guidelines were adapted to the school setting to develop an escalated treatment option for individuals initially unresponsive. This staged randomized controlled trial examined differences between escalated treatment (Take CHARGE!) and a maintenance program (PE Planners). Take CHARGE was hypothesized to have greater improvements in BMI as a percentage of the 95th BMI Percentile (%BMIp95) than PE Planners.

Subjects/methods

From 2018 to 2020, 171 middle and high schoolers (BMI Percentile ≥ 85) were recruited from a Houston school district to participate in a staged obesity intervention in their physical education (PE) class. After receiving a semester-long intensive lifestyle intervention (ILI) with established efficacy, all participants were randomized to Take CHARGE (n = 85) or PE Planners (n = 86). Take CHARGE escalated the behavioral treatment of obesity received in ILI with more frequent individual sessions, additional opportunities for parental and school staff involvement, and increased mentorship from trained college students. PE Planners allowed participants to decide how they wanted to be active in PE class. Mixed linear modeling examined %BMIp95 overtime between groups. This trial was registered at ClinicalTrials.gov (#NCT04362280).

Results

Participants were 13.63 ± 1.32 years old; 59% were female, and 85% were Hispanic. Among those initially unresponsive to ILI, Take CHARGE had significantly greater decreases in %BMIp95 than PE Planners (β = −0.01, p < 0.01). Conversely, among those initially responsive, Take CHARGE had significantly smaller decreases in %BMIp95 than PE Planners (β = 0.02, p < 0.05). Intention-to-treat analysis had similar results.

Conclusions

Participant outcomes in semester two differed based on initial response. Individuals responsive to initial intervention were most likely to benefit from a maintenance intervention and those initially unresponsive benefited more from escalated treatment. This indicates the need for staged intervention protocols to better address obesity in the school setting.

A scoping review of social and behavioral science research to translate genomic discoveries into population health impact

Since the completion of the Human Genome Project, progress toward translating genomic research discoveries to address population health issues has been limited. Several meetings of social and behavioral scientists have outlined priority research areas where advancement of translational research could increase population health benefits of genomic discoveries. In this review, we track the pace of progress, study size and design, and focus of genomics translational research from 2012 to 2018 and its concordance with five social and behavioral science recommended priorities. We conducted a review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Guidelines for Scoping Reviews. Steps involved completing a search in five databases and a hand search of bibliographies of relevant literature. Our search (from 2012 to 2018) yielded 4,538 unique studies; 117 were included in the final analyses. Two coders extracted data including items from the PICOTS framework. Analysis included descriptive statistics to help identify trends in pace, study size and design, and translational priority area. Among the 117 studies included in our final sample, nearly half focused on genomics applications that have evidence to support translation or implementation into practice (Centers for Disease Control and Prevention Tier 1 applications). Common study designs were cross-sectional (40.2%) and qualitative (24.8%), with average sample sizes of 716 across all studies. Most often, studies addressed public understanding of genetics and genomics (33.3%), risk communication (29.1%), and intervention development and testing of interventions to promote behavior change (19.7%). The number of studies that address social and behavioral science priority areas is extremely limited and the pace of this research continues to lag behind basic science advances. Much of the research identified in this review is descriptive and related to public understanding, risk communication, and intervention development and testing of interventions to promote behavior change. The field has been slow to develop and evaluate public health-friendly interventions and test implementation approaches that could enable health benefits and equitable access to genomic discoveries. As the completion of the human genome approaches its 20th anniversary, full engagement of transdisciplinary efforts to address translation challenges will be required to close this gap.

Baseline motives for eating palatable food: racial differences and preliminary utility in predicting weight loss

PURPOSE

Behavioral predictors of weight-loss program (WLP) outcomes are needed and important because they can be modified. Eating calorie-dense palatable foods (PFs) outside of hunger contributes to obesity. This study assessed if habitual motives to consume PFs could predict weight-loss outcomes.

METHODS

N = 171 Black and N = 141 White adults in a reduced-calorie program completed the Palatable Eating Motives Scale (PEMS). Body weight and body mass index (BMI) lost after 3 and 6 months were analyzed controlling for initial BMI and demographics. Greater PEMS motive scores meant more frequent habitual intake of PFs for that motive.

RESULTS

Whites vs. Blacks had higher scores on most of the PEMS motives: Social, Coping, and Reward Enhancement. In Whites at 3 months, greater Reward Enhancement scores and initial BMI predicted more BMI loss (p < 0.05). At 6 months, greater Reward Enhancement and lower Conformity scores predicted more weight (p < 0.05) and BMI loss (Conformity: p < 0.05; Reward Enhancement: p = 0.05). PEMS motives did not predict outcomes for Blacks.

CONCLUSION

The results provide preliminary evidence for the PEMS to predict WLP outcomes. White patients who eat PFs primarily for their rewarding properties and less to conform should fare better in Lifestyle programs while group or family-based interventions may be more efficacious when conformity is the main motive. Lower motive scores among Blacks suggest that eating PFs outside of hunger may go unrecognized or underreported and warrants further investigation. The findings highlight the motive-based heterogeneity of obesity and how it may be used to predict outcomes and customize interventions to improve WLP outcomes.

LEVEL OF EVIDENCE

Level IV, multiple time series.

Identifying and Addressing Individuals Resistant to Behavioral Lifestyle Treatment

The prevention and treatment of lifestyle disease involves overlapping factors. Those at the highest risk for the development of lifestyle disease are also at the highest risk for poor treatment outcomes. Although behavioral treatment of lifestyle disease has demonstrated efficacy on average, considerable individual variation exists in treatment response. In clinical settings, individuals unresponsive to treatment are typically provided escalated care. Community-based care is designed to reach high-risk populations unlikely to seek medical care. However, in community settings escalated treatment options are not usually available for individuals unresponsive to treatment. Addressing this gap is imperative to improve health outcomes of high-risk populations and to identify individuals who may be resistant to behavioral lifestyle treatment.

Behavior change is not one size fits all: psychosocial phenotypes of childhood obesity prevention intervention participants

Variability in individuals' responses to interventions may contribute to small average treatment effects of childhood obesity prevention interventions. But, neither the causes of this individual variability nor the mechanism by which it influences behavior are clear. We used qualitative methods to characterize variability in students' responses to participating in a childhood obesity prevention intervention and psychosocial characteristics related to the behavior change process. We interviewed 18 students participating in a school-based curriculum and policy behavior change intervention. Descriptive coding, summary, and case-ordered descriptive meta-matrices were used to group participants by their psychosocial responses to the intervention and associated behavior changes. Four psychosocial phenotypes of responses emerged: (a) Activated-successful behavior-changers with strong internal supports; (b) Inspired-motivated, but not fully successful behavior-changers with some internal supports, whose taste preferences and food environment overwhelmed their motivation; (c) Reinforced-already practiced target behaviors, were motivated, and had strong family support; and (d) Indifferent-uninterested in behavior change and only did target behaviors if family insisted. Our findings contribute to the field of behavioral medicine by suggesting the presence of specific subgroups of participants who respond differently to behavior change interventions and salient psychosocial characteristics that differentiate among these phenotypes. Future research should examine the utility of prospectively identifying psychosocial phenotypes for improving the tailoring of nutrition behavior change interventions.

Effect of personalized nutrition on health-related behaviour change: evidence from the Food4Me European randomized controlled trial

Background

Optimal nutritional choices are linked with better health, but many current interventions to improve diet have limited effect. We tested the hypothesis that providing personalized nutrition (PN) advice based on information on individual diet and lifestyle, phenotype and/or genotype would promote larger, more appropriate, and sustained changes in dietary behaviour.

Methods

: Adults from seven European countries were recruited to an internet-delivered intervention (Food4Me) and randomized to: (i) conventional dietary advice (control) or to PN advice based on: (ii) individual baseline diet; (iii) individual baseline diet plus phenotype (anthropometry and blood biomarkers); or (iv) individual baseline diet plus phenotype plus genotype (five diet-responsive genetic variants). Outcomes were dietary intake, anthropometry and blood biomarkers measured at baseline and after 3 and 6 months' intervention.

Results

At baseline, mean age of participants was 39.8 years (range 18-79), 59% of participants were female and mean body mass index (BMI) was 25.5 kg/m 2 . From the enrolled participants, 1269 completed the study. Following a 6-month intervention, participants randomized to PN consumed less red meat [-5.48 g, (95% confidence interval:-10.8,-0.09), P  = 0.046], salt [-0.65 g, (-1.1,-0.25), P  = 0.002] and saturated fat [-1.14 % of energy, (-1.6,-0.67), P  < 0.0001], increased folate [29.6 µg, (0.21,59.0), P  = 0.048] intake and had higher Healthy Eating Index scores [1.27, (0.30, 2.25), P  = 0.010) than those randomized to the control arm. There was no evidence that including phenotypic and phenotypic plus genotypic information enhanced the effectiveness of the PN advice.

Conclusions

Among European adults, PN advice via internet-delivered intervention produced larger and more appropriate changes in dietary behaviour than a conventional approach.

Commentary: Perspectives on alcohol-related gene and environment interplay in diverse populations

BACKGROUND AND OBJECTIVES

Racial/ethnic groups comprise more than 20% of the U.S. population, but many experience disproportionately high risk for alcohol misuse, often resulting in higher rates of alcohol-associated consequences. Completion of mapping the human genome has launched rapidly evolving research methods aimed at improved understanding of genetic contribution to disease. Despite decades of research on the influence of genetic and environmental risks on alcohol use disorders and outcomes, few studies have included racial/ethnic subpopulations in sufficient numbers to allow for proper statistical analysis.

METHODS

The papers in this special issue help to elucidate current knowledge on the etiology of genetic and environmental contributors and potential moderators of alcohol use and associated problems among racial/ethnic populations. The lack of racial/ethnic diversity across many genetic studies contributes to challenges in interpretation of findings and eventually applications to precision medicine.

RESULTS

Proposed approaches to overcome disparities in racial/ethnic participant recruitment in genetic studies include methods to address population stratification in allele frequency, improve transparency in subjects' consenting to participate, and engaging interdisciplinary research teams and community involvement to improve recruitment of racial/ethnic minorities.

DISCUSSION AND CONCLUSIONS

The reviews presented underscore various gaps in our knowledge of the genetic influences on alcohol use disorders due to the failure to include racially and ethnically diverse populations in genetic and epigenetic study samples. New directions are suggested to overcome the resulting research challenges and ultimately to inform future personalized intervention approaches for racial/ethnic populations.

SCIENTIFIC SIGNIFICANCE

Inclusion of heterogeneous populations in genomic research will provide a better comprehension of possible unique genetic factors in the broader general population that may be missed due to exclusion of unique and common variants that may be present in racial/ethnic populations. (Am J Addict 2017;26:526-531).

Behavioral and Psychological Phenotyping of Physical Activity and Sedentary Behavior: Implications for Weight Management

OBJECTIVE

Risk for obesity is determined by a complex mix of genetics and lifetime exposures at multiple levels, from the metabolic milieu to psychosocial and environmental influences. These phenotypic differences underlie the variability in risk for obesity and response to weight management interventions, including differences in physical activity and sedentary behavior.

METHODS

As part of a broader effort focused on behavioral and psychological phenotyping in obesity research, the National Institutes of Health convened a multidisciplinary workshop to explore the state of the science in behavioral and psychological phenotyping in humans to explain individual differences in physical activity, both as a risk factor for obesity development and in response to activity-enhancing interventions.

RESULTS

Understanding the behavioral and psychological phenotypes that contribute to differences in physical activity and sedentary behavior could allow for improved treatment matching and inform new targets for tailored, innovative, and effective weight management interventions.

CONCLUSIONS

This summary provides the rationale for identifying psychological and behavioral phenotypes relevant to physical activity and identifies opportunities for future research to better understand, define, measure, and validate putative phenotypic factors and characterize emerging phenotypes that are empirically associated with initiation of physical activity, response to intervention, and sustained changes in physical activity.

Beliefs about genetic influences on eating behaviors: Characteristics and associations with weight management confidence

INTRODUCTION

The development of precision approaches for customized health interventions is a promising application of genomic discovery. To optimize such weight management interventions, target audiences will need to be engaged in research and implementation efforts. Investigation into approaches that engage these audiences will be required to ensure that genomic information, particularly with respect to genomic influences on endophenotypes like eating behavior, is understood and accepted, and not associated with unintended adverse outcomes. We took steps to characterize healthy individuals' beliefs about genetic influences on eating behavior.

METHODS

Data were collected via online survey from 261 participants selected at random from a database.

RESULTS

Respondents infrequently spontaneously identified eating behavior-related factors as running in families. However, those who perceived themselves as overweight and perceived a family history of overweight were more likely to attribute eating behavior to genetics on closed-ended assessments, β=0.252, p=0.039. Genetic attributions for eating behaviors were associated with lower confidence in ability to control eating and weight, β=-0.119, p=0.035.

CONCLUSIONS

These exploratory findings shed light on beliefs about genetic influences on eating, a behavioral trait (rather than a disease). This investigation can inform future health intervention efforts.

Identifying eating behavior phenotypes and their correlates: A novel direction toward improving weight management interventions

Common reports of over-response to food cues, difficulties with calorie restriction, and difficulty adhering to dietary guidelines suggest that eating behaviors could be interrelated in ways that influence weight management efforts. The feasibility of identifying robust eating phenotypes (showing face, content, and criterion validity) was explored based on well-validated individual eating behavior assessments. Adults (n = 260; mean age 34 years) completed online questionnaires with measurements of nine eating behaviors including: appetite for palatable foods, binge eating, bitter taste sensitivity, disinhibition, food neophobia, pickiness and satiety responsiveness. Discovery-based visualization procedures that have the combined strengths of heatmaps and hierarchical clustering were used to investigate: 1) how eating behaviors cluster, 2) how participants can be grouped within eating behavior clusters, and 3) whether group clustering is associated with body mass index (BMI) and dietary self-efficacy levels. Two distinct eating behavior clusters and participant groups that aligned within these clusters were identified: one with higher drive to eat and another with food avoidance behaviors. Participants' BMI (p = 0.0002) and dietary self-efficacy (p < 0.0001) were associated with cluster membership. Eating behavior clusters showed content and criterion validity based on their association with BMI (associated, but not entirely overlapping) and dietary self-efficacy. Identifying eating behavior phenotypes appears viable. These efforts could be expanded and ultimately inform tailored weight management interventions.

My46: a Web-based tool for self-guided management of genomic test results in research and clinical settings

A major challenge to implementing precision medicine is the need for an efficient and cost-effective strategy for returning individual genomic test results that is easily scalable and can be incorporated into multiple models of clinical practice. My46 is a web-based tool for managing the return of genetic results that was designed and developed to support a wide range of approaches to results disclosure, ranging from traditional face-to-face disclosure to self-guided models. My46 has five key functions: set and modify results return preferences, return results, educate, manage return of results, and assess return of results. These key functions are supported by six distinct modules and a suite of features that enhance the user experience, ease site navigation, facilitate knowledge sharing, and enable results return tracking. My46 is a potentially effective solution for returning results and supports current trends toward shared decision-making between patient and provider and patient-driven health management.

Implications of Personal Genomic Testing for Health Behaviors: The Case of Smoking

INTRODUCTION

Direct-to-consumer personal genomic testing has the potential to influence health behaviors, including smoking. Critics of this testing highlight limited evidence to support positive behavioral benefits and caution that genomic results may provide false reassurance, leading to unhealthy behaviors. This study investigates interest in genetic risks of smoking-related diseases and changes in smoking behaviors among genomic testing consumers.

METHODS

From 2012 to 2013, a longitudinal series of web surveys was conducted. A total of 1464 customers of 23andMe and Pathway Genomics completed a survey prior to viewing genomic test results, of which 1002 participants provided data on smoking behaviors 6 months after receiving results.

RESULTS

At baseline, 64% of participants were never smokers, 29% were former smokers, and 7% were current smokers. Most baseline current smokers were very interested in genetic risk results for lung cancer (65%) and heart disease (72%). For lung cancer, this interest was significantly greater than former (50% very interested) and never smokers (37% very interested) (p < .0001). Even though participants were interested in smoking-related disease genetic risks, 96% reported the same smoking status at baseline and 6-month follow-up. Importantly, only 1% (n = 13/916) of former and never smokers became current smokers at 6 months and 22% (n = 14/64) of current smokers reported quitting.

CONCLUSIONS

Overall, smokers show a high level of interest in genetic risks of smoking-related illnesses. The experience of receiving direct-to-consumer genomic health risks does not appear to have obvious harms related to smoking behaviors, with some potential benefits.

IMPLICATIONS

In the setting of ongoing controversy surrounding direct-to-consumer genomic testing, this study provides evidence that consumers are interested in genetic risk results of smoking-related diseases. Receiving genomic testing results does not lead to smoking initiation among never smokers or reinitiation among former smokers and may be associated with a higher quit rate among current smokers at 6-month follow-up than the general population. These findings ease concerns that direct-to-consumer genomic testing could lead to false reassurance and unhealthy behaviors related to smoking.

Multidisciplinary intervention in obese adolescents: predictors of dropout

Objective

To identify biological and psychosocial factors associated with dropout in a multidisciplinary behavioral intervention in obese adolescents.

Methods

A total of 183 adolescents (15.4±1.6 years), pubertal (Tanner stage 3 or 4) and obese (34.7±4.0kg/m²), were enrolled in a 12-week behavioral intervention, which included clinical consultations (monthly), nutritional and psychological counseling (once a week), and supervised aerobic training (three times/week). The studied variables were weight, height, body mass index, body composition (skinfold), cardiorespiratory fitness (direct gas analysis), blood lipids and self-reported symptoms of eating disorders (bulimia, anorexia and binge eating), anxiety, depression, body image dissatisfaction and quality of life. Statistical analysis included binary logistic regression and independent t-tests.

Results

Of the adolescents, 73.7% adhered to the program. The greatest chance for dropout was observed among adolescents older than 15 years (odds ratio of 0.40; 95%CI: 0.15-0.98), with more anorexia symptoms (odds ratio of 0.35; 95%CI: 0.14-0.86) and hypercholesterolemia (odds ratio of 0.40; 95%CI: 0.16-0.91) at baseline.

Conclusion

Older adolescents, with more symptoms of eating disorders and total cholesterol have less chance to adhere to multidisciplinary treatments.

Effects of personalized colorectal cancer risk information on laypersons' interest in colorectal cancer screening: The importance of individual differences

OBJECTIVE

To evaluate how personalized quantitative colorectal cancer (CRC) risk information affects laypersons' interest in CRC screening, and to explore factors influencing these effects.

METHODS

An online pre-post experiment was conducted in which a convenience sample (N=578) of laypersons, aged >50, were provided quantitative personalized estimates of lifetime CRC risk, calculated by the National Cancer Institute Colorectal Cancer Risk Assessment Tool (CCRAT). Self-reported interest in CRC screening was measured immediately before and after CCRAT use; sociodemographic characteristics and prior CRC screening history were also assessed. Multivariable analyses assessed participants' change in interest in screening, and subgroup differences in this change.

RESULTS

Personalized CRC risk information had no overall effect on CRC screening interest, but significant subgroup differences were observed. Change in screening interest was greater among individuals with recent screening (p=.015), higher model-estimated cancer risk (p=.0002), and lower baseline interest (p<.0001), with individuals at highest baseline interest demonstrating negative (not neutral) change in interest.

CONCLUSION

Effects of quantitative personalized CRC risk information on laypersons' interest in CRC screening differ among individuals depending on prior screening history, estimated cancer risk, and baseline screening interest.

PRACTICE IMPLICATIONS

Personalized cancer risk information has personalized effects-increasing and decreasing screening interest in different individuals.

Public preferences for communicating personal genomic risk information: a focus group study

Background

Personalized genomic risk information has the potential to motivate behaviour change and promote population health, but the success of this will depend upon effective risk communication strategies.

Objective

To determine preferences for different graphical and written risk communication formats, and the delivery of genomic risk information including the mode of communication and the role of health professionals.

Design

Focus groups, transcribed and analysed thematically.

Participants

Thirty‐four participants from the public.

Methods

Participants were provided with, and invited to discuss, a hypothetical scenario giving an individual's personalized genomic risk of melanoma displayed in several graphical formats.

Results

Participants preferred risk formats that were familiar and easy to understand, such as a ‘double pie chart’ and ‘100 person diagram’ (pictograph). The 100 person diagram was considered persuasive because it humanized and personalized the risk information. People described the pie chart format as resembling bank data and food (such as cake and pizza). Participants thought that email, web‐based platforms and postal mail were viable options for communicating genomic risk information. However, they felt that it was important that a health professional (either a genetic counsellor or ‘informed’ general practitioner) be available for discussion at the time of receiving the risk information, to minimize potential negative emotional responses and misunderstanding. Face‐to‐face or telephone delivery was preferred for delivery of high‐risk results.

Conclusions

These public preferences for communication strategies for genomic risk information will help to guide translation of genome‐based knowledge into improved population health.

Effects of genetic and environmental risk assessment feedback on colorectal cancer screening adherence

Little is known about the impact of genetic and environmental risk assessment (GERA) feedback on colorectal cancer (CRC) screening. In a recently completed randomized trial, primary care patients received GERA feedback based on a blood test for genetic polymorphisms and serum folate level (GERA Group) versus usual care (Control Group). Subsequently, participants were offered CRC screening. Among participants who received GERA feedback, being at elevated risk was negatively associated with prospective CRC screening adherence. Secondary analyses of data from this study were performed to identify independent predictors of adherence among participants who received GERA feedback. We obtained baseline survey, follow-up survey, and endpoint medical records data on sociodemographic background, knowledge, psychosocial characteristics, risk status, and adherence for 285 GERA Group participants. Univariate and multivariable analyses were performed to identify predictors of CRC screening adherence. Following a 6-month outcomes observation period, we also conducted two focus groups with GERA Group participants to assess their perceptions of GERA risk feedback and screening. Content analyses of focus group data were evaluated to gain insights into participant response to risk feedback. Overall, half of GERA Group participants adhered to screening within 6 months after randomization. Multivariable analyses showed a statistically significant interaction between race and GERA feedback status relative to screening adherence (p = 0.043). Among participants who received average risk feedback, adherence was comparable among whites (49.7 %) and nonwhites (54.1 %); however, among those at elevated risk, adherence was substantially higher among whites (66.7 %) compared to nonwhites (33.3 %). Focus group findings suggest that whites were more likely than nonwhites to view elevated risk feedback as a prompt to screen. In response to receiving elevated risk feedback, nonwhites were more likely than whites to report feeling anxiety about the likelihood of being diagnosed with CRC. Further research is needed to explore race-related CRC screening differences in response to GERA feedback.

Disclosure of genetic information and change in dietary intake: a randomized controlled trial

BACKGROUND

Proponents of consumer genetic tests claim that the information can positively impact health behaviors and aid in chronic disease prevention. However, the effects of disclosing genetic information on dietary intake behavior are not clear.

METHODS

A double-blinded, parallel group, 2:1 online randomized controlled trial was conducted to determine the short- and long-term effects of disclosing nutrition-related genetic information for personalized nutrition on dietary intakes of caffeine, vitamin C, added sugars, and sodium. Participants were healthy men and women aged 20-35 years (n = 138). The intervention group (n = 92) received personalized DNA-based dietary advice for 12-months and the control group (n = 46) received general dietary recommendations with no genetic information for 12-months. Food frequency questionnaires were collected at baseline and 3- and 12-months after the intervention to assess dietary intakes. General linear models were used to compare changes in intakes between those receiving general dietary advice and those receiving DNA-based dietary advice.

RESULTS

Compared to the control group, no significant changes to dietary intakes of the nutrients were observed at 3-months. At 12-months, participants in the intervention group who possessed a risk version of the ACE gene, and were advised to limit their sodium intake, significantly reduced their sodium intake (mg/day) compared to the control group (-287.3 ± 114.1 vs. 129.8 ± 118.2, p = 0.008). Those who had the non-risk version of ACE did not significantly change their sodium intake compared to the control group (12-months: -244.2 ± 150.2, p = 0.11). Among those with the risk version of the ACE gene, the proportion who met the targeted recommendation of 1500 mg/day increased from 19% at baseline to 34% after 12 months (p = 0.06).

CONCLUSIONS

These findings demonstrate that disclosing genetic information for personalized nutrition results in greater changes in intake for some dietary components compared to general population-based dietary advice.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01353014.

Genetic and environmental risk assessment and colorectal cancer screening in an average-risk population: a randomized trial

BACKGROUND

New methods are needed to improve health behaviors, such as adherence to colorectal cancer (CRC) screening. Personalized genetic information to guide medical decisions is increasingly available. Whether such information motivates behavioral change is unknown.

OBJECTIVE

To determine whether individualized genetic and environmental risk assessment (GERA) of CRC susceptibility improves adherence to screening in average-risk persons.

DESIGN

2-group, randomized, controlled trial. (ClinicalTrials.gov: NCT0087360).

SETTING

4 medical school-affiliated primary care practices.

PARTICIPANTS

783 participants at average risk for CRC who were not adherent to screening at study entry.

INTERVENTION

Participants were randomly assigned to usual care or GERA, which evaluated methylenetetrahydrofolate reductase polymorphisms and serum folate levels. On the basis of prespecified combinations of polymorphisms and serum folate levels, GERA recipients were told that they were at elevated or average risk for CRC.

MEASUREMENTS

The primary outcome was CRC screening within 6 months of study entry.

RESULTS

Overall screening rates for CRC did not statistically significant differ between the usual care (35.7%) and GERA (33.1%) groups. After adjustment for baseline participant factors, the odds ratio for screening completion for GERA versus usual care was 0.88 (95% CI, 0.64 to 1.22). Within the GERA group, screening rates did not significantly differ between average-risk (38.1%) and elevated-risk (26.9%) participants. Odds ratios for elevated- versus average-risk participants remained nonsignificant after adjustment for covariates (odds ratio, 0.75 [CI, 0.39 to 1.42]).

LIMITATION

Only 1 personalized genetic and environmental interaction and 1 health behavior (CRC screening) were assessed.

CONCLUSION

In average-risk persons, CRC screening uptake was not positively associated with feedback from a single personalized GERA. Additional studies will be required to evaluate whether other approaches to providing GERA affect screening utilization differently. These findings raise concern about the effectiveness of moderately predictive assessment of genetic risk to promote favorable health care behavior.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Public attitudes toward genetic risk testing and its role in healthcare

Developments in genomics continue to increase the number of disorders for which genetic testing is available, whether in the primary healthcare system, through direct-to-consumer testing, or as part of expanded newborn screening panels. This paper reviews a robust literature on public attitudes toward genetics and genetic testing. In general, attitudes are positive about genetic research and new genomic technologies, with majorities indicating an interest in genetic testing. However, complex beliefs comprise the public's thinking about genetics. Attitudes are driven by beliefs about the type of genetic research, the personal and clinical utility of tests, and the area of genetics in which testing is applied. Limitations of current research are noted and suggestions made for future research.

Are public health professionals prepared for public health genomics? A cross-sectional survey in Italy

Background

Public health genomics is an emerging multidisciplinary approach, which aims to integrate genome-based knowledge in a responsible and effective way into public health. Despite several surveys performed to evaluate knowledge, attitudes and professional behaviors of physicians towards predictive genetic testing, similar surveys have not been carried out for public health practitioners. This study is the first to assess knowledge, attitudes and training needs of public health professionals in the field of predictive genetic testing for chronic diseases.

Methods

A self-administered questionnaire was used to carry out a cross-sectional survey of a random sample of Italian public health professionals.

Results

A response rate of 67.4% (797 questionnaires) was achieved. Italian public health professionals have the necessary attitudinal background to contribute to the proper use of predictive genetic testing for chronic diseases, but they need additional training to increase their methodological knowledge. Knowledge significantly increases with exposure to predictive genetic testing during postgraduate training (odds ratio (OR) = 1.74, 95% confidence interval (CI) = 1.05–2.88), time dedicated to continuing medical education (OR = 1.53, 95% CI = 1.14–2.04) and level of English language knowledge (OR = 1.36, 95% CI = 1.07–1.72). Adequate knowledge is the strongest predictor of positive attitudes from a public health perspective (OR = 3.98, 95% CI = 2.44–6.50). Physicians show a lower level of knowledge and more public health attitudes than other public health professionals do. About 80% of public health professionals considered their knowledge inadequate and 86.0% believed that it should be improved through specific postgraduate training courses.

Conclusions

Specific and targeted training initiatives are needed to develop a skilled public health workforce competent in identifying genomic technology that is ready for use in population health and in modeling public health genomic programs and primary care services that need to be developed, implemented and evaluated.

What keeps a body moving? The brain-derived neurotrophic factor val66met polymorphism and intrinsic motivation to exercise in humans

Individuals who are intrinsically motivated to exercise are more likely to do so consistently. In previous research, those with at least one copy of the methionine (met) allele in the brain-derived neurotrophic factor gene (BDNF; rs6265) had greater increases in positive mood and lower perceived exertion during exercise. This study examined whether genotype for BDNF is also related to intrinsic motivation, measured by self-report during a treadmill exercise session and a free-choice behavioral measure (continuing to exercise given the option to stop) among 89 regular exercisers (age M = 23.58, SD = 3.95). Those with at least one copy of the met allele reported greater increases in intrinsic motivation during exercise and were more likely to continue exercising when given the option to stop (55 vs. 33%). Results suggest that underlying genetic factors may partially influence perceptions of inherent rewards associated with exercise and might inform the development of individually targeted interventions.

Physical activity and differential methylation of breast cancer genes assayed from saliva: a preliminary investigation

PURPOSE

Individuals who exercise are at lower risk for breast cancer and have better post-diagnosis outcomes. The biological mechanisms behind this association are unclear, but DNA methylation has been suggested.

METHODS

We developed a composite measure of DNA methylation across 45 CpG sites on genes selected a priori. We examined the association of this measure to self-reported physical activity and objectively measured cardiovascular fitness in a sample of healthy nonsmoking adults (n = 64) in an exercise promotion intervention.

RESULTS

Individuals who were more physically fit and who exercised more minutes per week had lower levels of DNA methylation. Those who increased their minutes of physical activity over 12 months experienced decreases in DNA methylation.

CONCLUSIONS

DNA methylation may be a mechanism linking exercise and cancer incidence and could serve as a biomarker for behavioral intervention trials. Studies with larger samples, objectively measured exercise, and more cancer-related markers are needed.

The promise of using personalized genomic information to promote behavior change: is the debate over, or just beginning?

Over recent years, significant debate has centered on whether and how communication of personalized genomic risk information can positively influence health behavior change. Several thoughtful commentaries have cautioned that efforts to incorporate genomic risk feedback to motivate health behavior change have had little success. As a field, we should consider the reasons for this limited success and be strategic in the next steps for this line of research. In this article, we consider several reasons that prior research that integrates personalized genomic information has had relative degrees of success in changing or maintaining health behaviors. We suggest ways forward and outline the possibilities presented by emerging technologies and novel approaches in translational genomic research.

Interest and informational preferences regarding genomic testing for modest increases in colorectal cancer risk

BACKGROUND/AIMS

This study explored the interest in genomic testing for modest changes in colorectal cancer risk and preferences for receiving genomic risk communications among individuals with intermediate disease risk due to a family history of colorectal cancer.

METHODS

Surveys were conducted on 272 men and women at intermediate risk for colorectal cancer enrolled in a randomized trial comparing a remote personalized risk communication intervention (TeleCARE) aimed at promoting colonoscopy to a generic print control condition. Guided by Leventhal's Common Sense Model of Self-Regulation, we examined demographic and psychosocial factors possibly associated with interest in SNP testing. Descriptive statistics and logistic regression models were used to identify factors associated with interest in SNP testing and preferences for receiving genomic risk communications.

RESULTS

Three-fourths of participants expressed interest in SNP testing for colorectal cancer risk. Testing interest did not markedly change across behavior modifier scenarios. Participants preferred to receive genomic risk communications from a variety of sources: printed materials (69.5%), oncologists (54.8%), primary-care physicians (58.4%), and the web (58.1%). Overall, persons who were unmarried (p = 0.029), younger (p = 0.003) and with greater cancer-related fear (p = 0.019) were more likely to express interest in predictive genomic testing for colorectal cancer risk. In a stratified analysis, cancer-related fear was associated with the interest in predictive genomic testing in the intervention group (p = 0.017), but not the control group.

CONCLUSIONS

Individuals with intermediate familial risk for colorectal cancer are highly interested in genomic testing for modest increases in disease risk, specifically unmarried persons, younger age groups and those with greater cancer fear.

Genetic factors in exercise adoption, adherence and obesity

Physical activity and exercise play critical roles in energy balance. While many interventions targeted at increasing physical activity have demonstrated efficacy in promoting weight loss or maintenance in the short term, long term adherence to such programmes is not frequently observed. Numerous factors have been examined for their ability to predict and/or influence physical activity and exercise adherence. Although physical activity has been demonstrated to have a strong genetic component in both animals and humans, few studies have examined the association between genetic variation and exercise adherence. In this review, we provide a detailed overview of the non-genetic and genetic predictors of physical activity and adherence to exercise. In addition, we report the results of analysis of 26 single nucleotide polymorphisms in six candidate genes examined for association to exercise adherence, duration, intensity and total exercise dose in young adults from the Training Interventions and Genetics of Exercise Response (TIGER) Study. Based on both animal and human research, neural signalling and pleasure/reward systems in the brain may drive in large part the propensity to be physically active and to adhere to an exercise programme. Adherence/compliance research in other fields may inform future investigation of the genetics of exercise adherence.

Colorado stride (COSTRIDE): testing genetic and physiological moderators of response to an intervention to increase physical activity

BACKGROUND

The purpose of this research was to replicate a successful intervention to increase physical activity in a different region of the country, and explore genetic and physiological moderators of intervention efficacy drawn from a transdisciplinary theoretical framework.

METHOD

A randomized controlled trial comparing a print-based physical activity intervention (COSTRIDE) to a print-based health and wellness contact control (HW) intervention was conducted. Sedentary participants (n = 219) completed assessments at baseline and follow-up assessments at 3, 6, 9, and 12 months following the initiation of the intervention.

RESULTS

Participants in both conditions significantly increased exercise behavior in the first six months, and then leveled off or decreased physical activity in the second six months of the study. Those in the COSTRIDE intervention increased significantly more than those in the HW intervention, and were better able to maintain their exercise behavior. Genetic factors (BDNF, rs6265; FTO, rs8044769), but not selected physiological (body temperature, blood lactate, systolic blood pressure, plasma norepinephrine, and heart rate) or subjective (perceived pain, affect) responses to physical activity, moderated response to the intervention.

CONCLUSIONS

There are underlying genetic factors that influence response to behavioral intervention, and a better understanding of these factors has the potential to influence the development, targeting and tailoring of behavioral interventions to increase physical activity.

TRIAL REGISTRATION

Clinicaltrials.gov registration: NCT01091857.

Risks of nutrigenomics and nutrigenetics? What the scientists say

Nutrigenomics and nutrigenetics (hereafter NGx) have stimulated expectations for beneficial applications in public health and individuals. Yet, the potential achievability of such promise is not without socioethical considerations that challenge NGx implementation. This paper focuses on the opinions of NGx researchers about potential risks raised by NGx. The results of an online survey show that these researchers (n = 126) are fairly confident about the potential benefits of NGx, and that most downplay its potential risks. Researchers in this field do not believe that NGx will reconfigure foods as medication or transform the conception of eating into a health hazard. The majority think that NGx will produce no added burden on individuals to get tested or to remain compliant with NGx recommendations, nor that NGx will threaten individual autonomy in daily food choice. The majority of researchers do not think that NGx will lead to discrimination against and/or stigmatization of people who do not comply with NGx dietary recommendations. Despite this optimism among NGx researchers, we suggest that key risk factors raised by the socioethical context in which NGx applications will be implemented need to be considered.

Attitudes and beliefs toward biobehavioural research participation: voices and concerns of urban adolescent females receiving outpatient mental health treatment

BACKGROUND

Biobehavioural research methodology can be invasive and burdensome for participants - particularly adolescents with mental illnesses. Human biological researchers should consider how methodological impositions may hinder adolescent research participation. However, literature on adolescent's voices and concerns toward biobehavioural research participation is virtually non-existent.

AIM

This study was designed to determine adolescents' perceptions of participation in research involving the collection of biomarkers via blood, saliva and/or urine samples.

SUBJECTS AND METHODS

Urban adolescent females (aged 12-19) receiving outpatient mental health treatment (n = 37) participated in focus groups with concurrent survey administration to explore attitudes, beliefs and willingness/intentions toward biobehavioural research participation.

RESULTS

Participants had favourable attitudes toward biobehavioural research and were amenable to provide each specimen type. Mistrust for research emerged, however, and concerns related to privacy and confidentiality were expressed.

CONCLUSION

Participant recruitment is a critical component in study design and implementation; this includes knowledge of population-specific recruitment barriers and facilitators. This innovative paper provides a context for the research participants' decision-making process, strategies to allay fears and concerns and concrete areas to target in research-related interventions. Although the findings are from a specific, US-based sample, the implications warrant replication of the research in other geosocial settings.

Genetics in population health science: strategies and opportunities

Translational research is needed to leverage discoveries from the frontiers of genome science to improve public health. So far, public health researchers have largely ignored genetic discoveries, and geneticists have ignored important aspects of population health science. This mutual neglect should end. In this article, we discuss 3 areas where public health researchers can help to advance translation: (1) risk assessment: investigate genetic profiles as components in composite risk assessments; (2) targeted intervention: conduct life-course longitudinal studies to understand when genetic risks manifest in development and whether intervention during sensitive periods can have lasting effects; and (3) improved understanding of environmental causation: collaborate with geneticists on gene-environment interaction research. We illustrate with examples from our own research on obesity and smoking.

How could disclosing incidental information from whole-genome sequencing affect patient behavior?

In this article, we argue that disclosure of incidental findings from whole-genome sequencing has the potential to motivate individuals to change health behaviors through psychological mechanisms that differ from typical risk assessment interventions. Their ability to do so, however, is likely to be highly contingent upon the nature of the incidental findings and how they are disclosed, the context of the disclosure and the characteristics of the patient. Moreover, clinicians need to be aware that behavioral responses may occur in unanticipated ways. This article argues for commentators and policy makers to take a cautious but optimistic perspective while empirical evidence is collected through ongoing research involving whole-genome sequencing and the disclosure of incidental information.

An Evolutionary Perspective on Health Psychology: New Approaches and Applications

Although health psychologists' efforts to understand and promote health are most effective when guided by theory, health psychology has not taken full advantage of theoretical insights provided by evolutionary psychology. Here, we argue that evolutionary perspectives can fruitfully inform strategies for addressing some of the challenges facing health psychologists. Evolutionary psychology's emphasis on modular, functionally specialized psychological systems can inform approaches to understanding the myriad behaviors grouped under the umbrella of “health,” as can theoretical perspectives used by evolutionary anthropologists, biologists, and psychologists (e.g., Life History Theory). We detail some early investigations into evolutionary health psychology, and we provide suggestions for directions for future research.

An evolutionary perspective on health psychology: new approaches and applications

Although health psychologists' efforts to understand and promote health are most effective when guided by theory, health psychology has not taken full advantage of theoretical insights provided by evolutionary psychology. Here, we argue that evolutionary perspectives can fruitfully inform strategies for addressing some of the challenges facing health psychologists. Evolutionary psychology's emphasis on modular, functionally specialized psychological systems can inform approaches to understanding the myriad behaviors grouped under the umbrella of "health," as can theoretical perspectives used by evolutionary anthropologists, biologists, and psychologists (e.g., Life History Theory). We detail some early investigations into evolutionary health psychology, and we provide suggestions for directions for future research.

Focus on increasing treatment self-efficacy to improve human immunodeficiency virus treatment adherence

PURPOSE

Human immunodeficiency virus (HIV) treatment self-efficacy is the confidence held by an individual in her or his ability to follow treatment recommendations, including specific HIV care such as initiating and adhering to antiretroviral therapy (ART). The purpose of this study was to explore the potential mediating role of treatment adherence self-efficacy in the relationships between Social Cognitive Theory constructs and self- reported ART adherence.

DESIGN

Cross-sectional and descriptive. The study was conducted between 2009 and 2011 and included 1,414 participants who lived in the United States or Puerto Rico and were taking antiretroviral medications.

METHODS

Social cognitive constructs were tested specifically: behaviors (three adherence measures each consisting of one item about adherence at 3-day and 30-day along with the adherence rating scale), cognitive or personal factors (the Center for Epidemiology Studies Depression Scale to assess for depressive symptoms, the 12-Item Short Form Health Survey (SF-12) to assess physical functioning, one item about physical condition, one item about comorbidity), environmental influences (the Social Capital Scale, one item about social support), and treatment self-efficacy (HIV Adherence Self-Efficacy Scale). Analysis included descriptive statistics and regression.

RESULTS

The average participant was 47 years old, male, and a racial or ethnic minority, had an education of high school or less, had barely adequate or totally inadequate income, did not work, had health insurance, and was living with HIV/acquired immunodeficiency syndrome for 15 years. The model provided support for adherence self-efficacy as a robust predictor of ART adherence behavior, serving a partial mediating role between environmental influences and cognitive or personal factors.

CONCLUSIONS

Although other factors such as depressive symptoms and lack of social capital impact adherence to ART, nurses can focus on increasing treatment self-efficacy through diverse interactional strategies using principles of adult learning and strategies to improve health literacy.

CLINICAL RELEVANCE

Adherence to ART reduces the viral load thereby decreasing morbidity and mortality and risk of transmission to uninfected persons. Nurses need to use a variety of strategies to increase treatment self-efficacy.

Applying genomics to nutrition and lifestyle modification

Personalized nutrition aims to prevent the onset and development of chronic diseases by targeting dietary recommendations to an individual’s genetic profile. Gene–diet interactions that affect metabolic pathways relevant to disease risk are continuously being uncovered. Discoveries in the field of nutrigenomics demonstrate that some individuals may benefit from adhering to different dietary guidelines than others, depending on their genotype. Certain industries have already begun to capitalize on the anticipation that knowledge of genomic information could help prevent the risk of developing diseases. Although disclosure of genetic information has been associated with the adoption of positive health-related behaviors under certain circumstances, the effect of providing gene-based dietary advice on motivating adherence to favorable dietary changes is largely unknown.