Identifying Predictors of Adherence to the Physical Activity Goal: A Secondary Analysis of the SMARTER Weight Loss Trial.

INTRODUCTION/PURPOSE: Research is needed to inform tailoring supportive strategies for promoting physical activity (PA) in the context of behavioral treatment of obesity. We aimed to identify baseline participant characteristics and short-term intervention response predictors associated with adherence to the study-defined PA goal in a mobile health (mHealth) weight loss trial. METHODS: A secondary analysis was conducted of a 12-month weight loss trial (SMARTER) that randomized 502 adults with overweight or obesity to either self-monitoring of diet, PA, and weight with tailored feedback messages ( n = 251) or self-monitoring alone ( n = 251). The primary outcome was average adherence to the PA goal of ≥150 min·wk -1 of moderate- and vigorous-intensity aerobic activities (MVPA) from Fitbit Charge 2™ trackers over 52 wk. Twenty-five explanatory variables were considered. Machine learning methods and linear regression were used to identify predictors of adherence to the PA goal. RESULTS: The sample ( N = 502) was mostly female (80%), White (82%) with the average age of 45 ± 14.4 yr and body mass index of 33.7 ± 4.0 kg·m -2 . Machine learning methods identified PA goal adherence for the first week as the most important predictor of long-term PA goal adherence. In the parsimonious linear regression model, higher PA goal adherence for the first week, greater PA FB messages opened, older age, being male, higher education, being single and not having obstructive sleep apnea were associated with higher long-term PA goal adherence. CONCLUSIONS: To our knowledge, this is the first study using machine learning approaches to identify predictors of long-term PA goal adherence in a mHealth weight loss trial. Future studies focusing on facilitators or barriers to PA among young and middle-age adults and women with low PA goal adherence are warranted.

Diet Improvements in Community-Dwelling Older Adults in the Mobility and Vitality Lifestyle Program.

This analysis examined whether a community-based intervention produced measurable improvements in dietary habits. MOVE UP combined translational, evidence-based weight management and healthy aging interventions using a non-randomized design. This 13-month intervention included 32 group sessions, explicit calorie and physical activity goals, self-monitoring, and nutrition education. Participants were (N = 297) older adults (mean = 68.0 years) with overweight and obesity. Diet was measured using Rate Your Plate (RYP)-Heart. Changes in scores from baseline to 5, 9, and 13 months were assessed using mixed models. MOVE UP successfully shifted eating patterns from baseline (mean = 50.9) to 5 months (mean = 55.1) (p < .0001) adjusted for age, sex, and race. Improvements persisted through 9 (mean = 54.7) and 13 months (mean = 55.0) (p < .0001). Although participants were not prescribed a specific diet, RYP-Heart indicated positive dietary shifts. Community-implemented behavioral weight loss interventions may assess the modifiability of dietary habits with a simple, easy-to-administer tool.

mHealth Technology and CVD Risk Reduction.

PURPOSE OF REVIEW: To review existing mHealth-based interventions and examine their efficacy in reducing cardiovascular disease (CVD) risk factors. RECENT FINDINGS: A total of 50 articles are included in this review. The majority of the mHealth interventions targeted a specific CVD risk factor, while 4 addressed 2 or more CVD risk factors. Of the 9 mHealth-supported weight loss intervention trials, 4 resulted in significant weight loss. Four out of 7 RCTs targeting improvement in physical activity reported significant improvement, while 4 of the 8 mHealth-supported smoking cessation intervention trials resulted in smoking abstinence. Of the 10 mHealth-based diabetes intervention trials, 5 reported significant reductions in HbA1c; however, only 3 out of the 9 antihypertension interventions resulted in significant reductions in blood pressure. There is a growing body of literature focused on mHealth interventions that address CVD risk factors. Despite the immense potential of mHealth interventions, evidence of their efficacy in mitigating cardiovascular risk is heterogeneous.

Obesity and Cardiovascular Disease: A Scientific Statement From the American Heart Association.

The global obesity epidemic is well established, with increases in obesity prevalence for most countries since the 1980s. Obesity contributes directly to incident cardiovascular risk factors, including dyslipidemia, type 2 diabetes, hypertension, and sleep disorders. Obesity also leads to the development of cardiovascular disease and cardiovascular disease mortality independently of other cardiovascular risk factors. More recent data highlight abdominal obesity, as determined by waist circumference, as a cardiovascular disease risk marker that is independent of body mass index. There have also been significant advances in imaging modalities for characterizing body composition, including visceral adiposity. Studies that quantify fat depots, including ectopic fat, support excess visceral adiposity as an independent indicator of poor cardiovascular outcomes. Lifestyle modification and subsequent weight loss improve both metabolic syndrome and associated systemic inflammation and endothelial dysfunction. However, clinical trials of medical weight loss have not demonstrated a reduction in coronary artery disease rates. In contrast, prospective studies comparing patients undergoing bariatric surgery with nonsurgical patients with obesity have shown reduced coronary artery disease risk with surgery. In this statement, we summarize the impact of obesity on the diagnosis, clinical management, and outcomes of atherosclerotic cardiovascular disease, heart failure, and arrhythmias, especially sudden cardiac death and atrial fibrillation. In particular, we examine the influence of obesity on noninvasive and invasive diagnostic procedures for coronary artery disease. Moreover, we review the impact of obesity on cardiac function and outcomes related to heart failure with reduced and preserved ejection fraction. Finally, we describe the effects of lifestyle and surgical weight loss interventions on outcomes related to coronary artery disease, heart failure, and atrial fibrillation.

A Qualitative Exploration of Patients' Experiences with Lifestyle Changes After Sleeve Gastrectomy in China.

PURPOSE: Sleeve gastrectomy (SG) is the most widely used surgical treatment for severe obesity worldwide. Individuals who have undergone SG usually need to change lifestyle behaviors as a response to the anatomical changes imposed by SG, and patients need to sustain lifestyle changes for long-term surgical success. Little is known about how patients experience and manage lifestyle changes following SG. In China, where SG comprises over 70% of bariatric surgical procedures, there have been no reports addressing this issue. This study aimed to describe individuals' experiences related to lifestyle changes after SG in China. MATERIALS AND METHODS: Semi-structured interviews were conducted at the Shanghai Huashan Hospital in China with adults who had undergone SG between 2012 and 2018. Two independent researchers used an interpretive thematic approach to analyze transcripts for themes and sub-themes. RESULTS: Interviews (N = 15) revealed three major themes of participants' experiences with postoperative lifestyle changes: advantages outweigh disadvantages; developing self-management strategies (i.e., adopting new behaviors and developing habits, continuing self-monitoring, focusing on health over weight, staying determined); and experiencing culture-specific difficulties in adherence to follow-up visits and lifestyle recommendations. CONCLUSION: The data from this study provided a rich description of the postoperative experiences of patients in China. Participants reported that surgical benefits supersede the surgery-related side effects, and participants were able to develop self-management strategies in order to achieve success. However, personal and social barriers, such as the challenges of applying postoperative dietary guidelines into daily practice, may impede patients making and sustaining recommended behavioral changes.

The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight.

BACKGROUND: Self-monitoring food intake and physical activity (PA) is positively related to weight loss and the addition of feedback (FB) messages has been shown to reinforce behavior change. Moreover, the more immediate the delivery of reinforcing FB messages, the more likely they will promote the desired behaviors. PURPOSE: Describe design and rationale of SMARTER, a National Institute of Heart, Lung, and Blood (NHLBI)-sponsored randomized, controlled trial, which compares the differential efficacy of two weight loss treatments among 530 adults, ages 18 and older. METHODS: Single-site, 2-group design trial with subjects randomized 1:1 to either: 1) self-monitoring (SM), where participants self-monitor diet, PA, and weight using a commercial smartphone application (app); or 2) SM + FB, where participants self-monitor and receive real-time, tailored feedback (FB) as pop-up messages up to 3 times/day for 12 months. Daily FB messages address diet and PA behaviors and a weekly FB message addresses self-weighing. We hypothesize that subjects assigned to SM + FB will show greater weight loss at 6 and 12 months and greater sustained engagement in the program than the SM group, measured by adherence to the study's lifestyle and SM protocol. We will explore temporal relationships of the frequency, timing, and type of FB delivered and subsequent lifestyle behaviors through examination of serially collected real-time SM (diet, PA, weight) data over 12 months. CONCLUSIONS: If efficacious, this fully scalable intervention could be efficiently translated and disseminated to reach large numbers of individuals through commercial apps at lower cost than existing in-person weight loss programs.

Predictors of weight regain after sleeve gastrectomy: an integrative review.

BACKGROUND: Sleeve gastrectomy (SG) is one of the most effective treatments for severe obesity, but weight regain after surgery is a challenging issue. The mechanism of postoperative weight relapse is barely understood because of the lack of long-term data. OBJECTIVES: To review and synthesize current evidence related to factors that contribute to weight regain after SG. METHODS: Whittemore and Knafl's integrative method guided the research. The databases PubMed, EMBASE, and CINAHL, as well as 2 selected journals, were searched through October 2018 to gather English-language journal articles on the potential predictors of post-SG weight regain among adult populations. Only articles with sample size ≥10 were included. A narrative synthesis was used to analyze the 17 studies included in the review. RESULTS: In recent years there has been an upward trend in the published reports of SG on longer-term outcomes. After a review of 6863 records, 17 eligible studies were identified, reporting various definitions of weight regain and 3 main categories of predictors: surgical/anatomic factors, hormonal/metabolic imbalance, and behavioral/mood factors. The 17 studies used quantitative (n = 16) and qualitative methods (n = 1). CONCLUSION: There is a dearth of available literature addressing predictors of weight regain after SG, and the inconsistency in the definition of regain limited the comparability between studies. Besides the surgical/anatomic factors that have been reported as significant predictors, other modifiable factors such as behavioral and psychosocial determinants need to be further investigated.

Prospective Analyses of Cytokine Mediation of Sleep and Survival in the Context of Advanced Cancer.

OBJECTIVE: The aims of this study were to examine the potential association between sleep problems, symptom burden, and survival in patients with advanced cancer. METHODS: A prospective study of 294 patients with gastrointestinal cancer administered questionnaires assessing sleep, depression, anxiety, stress, pain, fatigue, and health-related quality of life. Serum levels of cytokines including interleukin (IL)-1α, IL-1ß, tumor necrosis factor α, IL-10, IL-2, and interferon-γ were measured to assess biological mediation between sleep and survival. Survival was measured as time from diagnosis to death. RESULTS: Fifty-nine percent of patients reported poor sleep quality, 53% reported poor sleep efficiency, 39% reported sleep latency greater than 30 minutes, and 45% reported sleeping less than 6 hours or greater than 10 hours. We found a significant association between sleep duration and symptom burden. Shorter sleep duration was significantly associated with higher levels of fatigue (r = -0.169, p = .01), pain (r = -0.302, p = .01), anxiety (r = -0.182, p = .01), depression (r = -0.172, p = .003), and lower levels of quality of life (r = 0.240, p = .01). After adjustment for demographic, psychological, and disease-specific factors, short sleep duration was associated with reduced survival (hazard ratio [HR] linear = 0.485, 95% confidence interval = 0.275-0.857) and there was also evidence for a quadratic pattern (HR quadrati = 1.064, 95% confidence interval = 1.015-1.115) suggesting a curvilinear relationship between sleep duration and survival. Interleukin 2 was the only cytokine significantly related to survival (HR = 1.01, p = .003) and sleep duration (ß = -30.11, p = .027). When of IL-2 was added to the multivariable model, short and long sleep (ß = -0.557, p = .097; ß = 0.046, p = .114) were no longer significantly related to survival, suggesting mediation by IL-2. CONCLUSION: Sleep duration was associated with symptom burden and poorer survival and IL-2 was found to mediate the association between sleep and survival. Screening and treatment of sleep problems in patients diagnosed with cancer are warranted.

Impact of Perceived Barriers to Healthy Eating on Diet and Weight in a 24-Month Behavioral Weight Loss Trial.

OBJECTIVE: To examine longitudinal changes in perceptions of barriers to healthy eating and its impact on dietary intake and weight loss in a 24-month trial. METHODS: A secondary analysis was conducted using data from a behavioral weight loss trial (n = 210). The Barriers to Healthy Eating (BHE) scale was used to measure perceived barriers to healthy eating. Weight, total energy, and fat intake were measured. Longitudinal mixed regression modeling was used for data analysis. RESULTS: The BHE total score decreased from baseline to 6 months and increased slightly from 6 to 24 months (P < .001). Changes in BHE total and subscale scores were positively associated with changes in total energy and fat intake (P < .05) as well as weight (P < .01). CONCLUSIONS AND IMPLICATIONS: Reducing barriers could lead to improved short-term dietary changes and weight loss. Innovative strategies need to be developed to prevent barriers from increasing when intervention intensity begins to decrease.

An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle.

Recently, wearable computers have become new members in the family of mobile electronic devices, adding new functions to those provided by smart-phones and tablets. As "always-on" miniature computers in the personal space, they will play increasing roles in the field of healthcare. In this work, we present our development of eButton, a wearable computer designed as a personalized, attractive, and convenient chest pin in a circular shape. It contains a powerful microprocessor, numerous electronic sensors, and wireless communication links. We describe its design concepts, electronic hardware, data processing algorithms, and its applications to the evaluation of diet, physical activity and lifestyle in the study of obesity and other chronic diseases.

The use of mHealth to deliver tailored messages reduces reported energy and fat intake.

BACKGROUND: Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake. OBJECTIVE: The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake. METHODS: This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m²) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline. RESULTS: Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05). CONCLUSION: Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.

Daughters and Mothers Against Breast Cancer (DAMES): main outcomes of a randomized controlled trial of weight loss in overweight mothers with breast cancer and their overweight daughters.

BACKGROUND: Few studies to date have used the cancer diagnosis as a teachable moment to promote healthy behavior changes in survivors of cancer and their family members. Given the role of obesity in the primary and tertiary prevention of breast cancer, the authors explored the feasibility of a mother-daughter weight loss intervention. METHODS: A randomized controlled trial of a mailed weight loss intervention was undertaken among 68 mother-daughter dyads (n = 136), each comprised of a survivor of breast cancer (AJCC stage 0-III) and her adult biological daughter. All women had body mass indices ≥ 25 kg/m(2) and underwent in-person assessments at baseline, 6 months, and 12 months, with accelerometry and exercise capacity performed on a subset of individuals. All women received a personalized workbook and 6 newsletters over a 1-year period that promoted weight loss; exercise; and a nutrient-rich, low-energy density diet. A total of 25 dyads received individually tailored instruction (individual), 25 dyads received team-tailored instruction (TEAM), and 18 dyads received standardized brochures (control). RESULTS: The trial met its accrual target, experienced 90% retention, and caused no serious adverse events. Significant differences in baseline to 12-month changes were observed between individual versus control mothers for body mass index, weight, and waist circumference (WC); significant differences also were observed in the WC of corresponding daughters (P < .05). Significant differences were found between individual versus control and team versus control dyads for WC (P = .0002 and .018, respectively), minutes per week of physical activity (P = .031 and .036, respectively), and exercise capacity (P = .047 for both). CONCLUSIONS: Significant improvements in lifestyle behaviors and health outcomes are possible with tailored print interventions directed toward survivors of cancer and their family members. For greater impact, more research is needed to expand this work beyond the mother-daughter dyad.

An exploratory investigation of links between changes in adipokines and quality of life in individuals undergoing weight loss interventions: possible implications for cancer research.

OBJECTIVE: Obesity has been linked to a wide spectrum of malignancies, with the strongest association demonstrated for endometrial cancer. Although the mechanisms are not yet entirely clear, a number of risk biomarkers have been proposed, including altered adipokines. Systemic levels of these adipose derived molecules have also been linked in prior research to self-reported quality of life (QOL). The study objective was to examine the hypothesis that adipokine changes during intentional weight loss may be associated with changes in QOL. METHODS: Fifty-two female participants were selected from two behavioral weight loss trials (SMART and PREFER) on the basis of achieving successful weight loss at 6month assessment, availability of blood samples and completion of standard SF-36 QOL questionnaires. Levels of adiponectin, leptin, and resistin were measured using xMAP immunoassays. Changes in QOL were examined using linear regression models in relation to pre- and post-intervention changes in biomarker levels and BMI. RESULTS: Significant changes between pre- and post-intervention were observed for leptin. Controlling for baseline BMI, leptin was the only biomarker that predicted change in QOL (Physical Component Scale, PCS). Linear regression models demonstrated that leptin continued to be a significant predictor of change in PCS when other possible predictor variables were included in the model. CONCLUSIONS: This study is among the first to demonstrate that changes in PCS may be regulated by levels of both metabolic variables and adipokines. An improved understanding of biological mechanisms associated with weight loss and the role of QOL may help guide preventive strategies for obesity-associated cancers.

Mobile applications for weight management: theory-based content analysis.

BACKGROUND: The use of smartphone applications (apps) to assist with weight management is increasingly prevalent, but the quality of these apps is not well characterized. PURPOSE: The goal of the study was to evaluate diet/nutrition and anthropometric tracking apps based on incorporation of features consistent with theories of behavior change. METHODS: A comparative, descriptive assessment was conducted of the top-rated free apps in the Health and Fitness category available in the iTunes App Store. Health and Fitness apps (N=200) were evaluated using predetermined inclusion/exclusion criteria and categorized based on commonality in functionality, features, and developer description. Four researchers then evaluated the two most popular apps in each category using two instruments: one based on traditional behavioral theory (score range: 0-100) and the other on the Fogg Behavioral Model (score range: 0-6). Data collection and analysis occurred in November 2012. RESULTS: Eligible apps (n=23) were divided into five categories: (1) diet tracking; (2) healthy cooking; (3) weight/anthropometric tracking; (4) grocery decision making; and (5) restaurant decision making. The mean behavioral theory score was 8.1 (SD=4.2); the mean persuasive technology score was 1.9 (SD=1.7). The top-rated app on both scales was Lose It! by Fitnow Inc. CONCLUSIONS: All apps received low overall scores for inclusion of behavioral theory-based strategies.

Longitudinal effects of weight loss and regain on cytokine concentration of obese adults.

OBJECTIVE: To describe patterns of weight loss and regain and their effect on the pro-inflammatory cytokines IL-6 and TNF-α, and anti-inflammatory cytokines adiponectin and IL-10 during a 24-month weight loss trial. MATERIALS/METHODS: Participants were obese adults (N=66) who lost and regained ≥ 10lb during a 24-month clinical trial of behavioral weight loss treatment. Measurements of cytokines and weight were conducted at baseline, 6, 12, 18, and 24 months. Linear mixed modeling was used to determine percent change in weight and cytokines from baseline. RESULTS: The sample was predominantly female (80.3%) and White (86.4%), with a mean age of 48.4 ± 7.3 years and mean BMI of 34.5 ± 4.4 kg/m(2). At baseline, men had higher waist circumference, body weight, and energy intake, and lower percent body fat and adiponectin. The largest decrease in weight was observed at 6 months with a mean 11% decrease (p<.0001).A significant gender-by-weight change interaction on percent change in adiponectin was observed [b(se)=0.9 (0.2), p=.0003], with men having a larger increase in adiponectin with weight loss compared to women. There was a significant effect of weight gain over time with increases in IL-6 [b(se)=0.9 (0.3), p=.001]. CONCLUSIONS: Overall, weight loss was significantly associated with improvements in adiponectin and IL-6. Those improvements remained at 24 months, following weight regain. The association between weight change and adiponectin was different between genders. Implementing strategies that support sustained weight loss can help prevent a state of chronic systemic inflammation and its associated adverse effects.

Self-monitoring as a mediator of weight loss in the SMART randomized clinical trial.

BACKGROUND: Integral components of behavioral weight-loss treatment include self-monitoring of diet and physical activity along with feedback to participants regarding their behaviors. While providing feedback has been associated with weight loss, no studies have examined the impact of feedback frequency on weight loss or the mediating role of self-monitoring adherence in this relationship. PURPOSE: This study examined the effect of participant feedback frequency on weight loss and determined if this effect was mediated by adherence to self-monitoring in a behavioral weight-loss trial conducted in the USA. METHOD: Participants (N = 210) were randomly assigned to one of three self-monitoring methods with either no-daily feedback messages or daily feedback messages: (1) paper diary (PD), no-daily feedback; (2) personal digital assistant (PDA), no-daily feedback; and (3) PDA, daily tailored feedback messages (PDA + FB). The Sobel test via bootstrapping examined the direct effect of feedback frequency on weight loss and the indirect effect through self-monitoring adherence. RESULTS: Receiving daily feedback messages significantly increased participants' self-monitoring adherence. A significant effect of feedback frequency on weight loss was noted; however, after adjusting for self-monitoring adherence, the effect of feedback frequency on weight loss was no longer significant. Feedback frequency had a significant indirect effect on weight loss through self-monitoring adherence. CONCLUSION: Self-monitoring adherence mediated the effect of feedback frequency on weight loss. Increasing the frequency with which participants receive feedback could enhance self-monitoring adherence, a critical component of behavioral weight-loss treatment.

Treatment strategies for overweight and obesity.

PURPOSE: To review the health problem of overweight and obesity in adults, the available treatment options, and clinical implications for nursing. ORGANIZING CONSTRUCT: Overweight and obesity. FINDINGS: Today, obesity is considered a pandemic that is present in developed and developing countries. Obesity, considered a chronic condition, is associated with numerous comorbid conditions (e.g., cardiovascular disease, diabetes, and some cancers). There are three approaches to the treatment of overweight and obesity: lifestyle modification, pharmacotherapy, and bariatric surgery. The most effective approach uses a combination of behavioral strategies and diet and exercise to support sustained lifestyle change. Pharmacotherapy and bariatric surgery have better outcomes when augmented by lifestyle treatment compared with either approach alone. Bariatric surgery, which is being performed increasingly more often, is reserved for those with a body mass index (BMI) of greater than or equal to 40, or a BMI of 35 to 39.9 in the presence of comorbidities. The biggest treatment challenge is the prevention of weight regain. CONCLUSIONS: The most effective treatment approach is the use of lifestyle modification, which can be delivered alone or to augment pharmacotherapy or bariatric surgery. CLINICAL RELEVANCE: Similar to other chronic conditions, obesity needs ongoing management, which is a role that nursing can help fill in the clinical setting.

Global cardiovascular disease prevention: a call to action for nursing: multilevel policies.

This section, multilevel policies, reviews the impact that has been and can be made by health policy changes at multiple levels, strategies and resources for increasing adherence to population prevention recommendations, and how changes at the microlevel and macrolevel of the environment can provide opportunities and rewards for healthy behaviors and disincentives for unhealthy behaviors. Policies that support primary prevention of cardiovascular disease require the participation of numerous stakeholders at multiple levels, such as governmental and regulatory agencies. Such policy changes support a healthy lifestyle, as in designated smoke-free areas; laws that mandate that food purveyors reduce sodium and fat content or, eliminate trans-fats; and availability of safe parks and bike and walking trails; and also provide a supportive environment that in turn reinforces adherence to primary prevention. Health-related policies have a major impact at the societal level in both developed and developing countries; thus, it is important to understand the role that policy plays in promoting a healthier lifestyle and the prevention of cardiovascular disease. This section discusses how health policies can impact primary prevention and adherence to healthful recommendations, with examples focused on physical activity and diet.

Value of primordial and primary prevention for cardiovascular disease: a policy statement from the American Heart Association.

The process of atherosclerosis may begin in youth and continue for decades, leading to both nonfatal and fatal cardiovascular events, including myocardial infarction, stroke, and sudden death. With primordial and primary prevention, cardiovascular disease is largely preventable. Clinical trial evidence has shown convincingly that pharmacological treatment of risk factors can prevent events. The data are less definitive but also highly suggestive that appropriate public policy and lifestyle interventions aimed at eliminating tobacco use, limiting salt consumption, encouraging physical exercise, and improving diet can prevent events. There has been concern about whether efforts aimed at primordial and primary prevention provide value (ie, whether such interventions are worth what we pay for them). Although questions about the value of therapeutics for acute disease may be addressed by cost-effectiveness analysis, the long time frames involved in evaluating preventive interventions make cost-effectiveness analysis difficult and necessarily flawed. Nonetheless, cost-effectiveness analyses reviewed in this policy statement largely suggest that public policy, community efforts, and pharmacological intervention are all likely to be cost-effective and often cost saving compared with common benchmarks. The high direct medical care and indirect costs of cardiovascular disease-approaching $450 billion a year in 2010 and projected to rise to over $1 trillion a year by 2030-make this a critical medical and societal issue. Prevention of cardiovascular disease will also provide great value in developing a healthier, more productive society.