A philosophy of health: life as reality, health as a universal value

Emphases on biomarkers (e.g. when making diagnoses) and pharmaceutical/drug methods (e.g. when researching/disseminating population level interventions) in primary care evidence philosophies of health (and healthcare) that reduce health to the biological level. However, with chronic diseases being responsible for the majority of all cause deaths and being strongly linked to health behavior and lifestyle; predominantly biological views are becoming increasingly insufficient when discussing this health crisis. A philosophy that integrates biological, behavioral, and social determinants of health could benefit multidisciplinary discussions of healthy publics. This manuscript introduces a Philosophy of Health by presenting its first five principles of health. The philosophy creates parallels among biological immunity, health behavior change, social change by proposing that two general functions—precision and variation—impact population health at biological, behavioral, and social levels. This higher-level of abstraction is used to conclude that integrating functions, rather than separated (biological) structures drive healthy publics. A Philosophy of Health provides a framework that can integrate existing theories, models, concepts, and constructs

An adaptive behavioral immune system: a model of population health behavior

The understanding that immunity could be strengthened in the general population (e.g., through vaccine interventions) supported global advances upon acute infectious disease epidemics in the eighteenth, nineteenth, and twentieth centuries. However, in the twenty-first century, global populations face chronic disease epidemics. Research demonstrates that diseases largely emerge from health risk behavior. The understanding of how health behavior, like the biological immune system, can be strengthened in the general population, could support advances in the twenty-first century. To consider how health behavior can be strengthened in the general population, the authors present a theoretical model of population health behavior. The model operationalizes health behavior as a system of functions that, like the biological immune system, exists in each member of the population. Constructs are presented that operationalize the specific decisions and habits that drive health behavior and behavior change in the general population. The constructs allow the authors to present parallels (1) among existing behavior change theories and (2) between the proposed system and the biological immune system. Through these parallels, the authors introduce a model and a logic of population-level health behavior change. The Adaptive Behavioral Immune System is an integrative model of population health behavior

Methods of quantifying change in multiple risk factor interventions

Objective: Risky behaviors such as smoking, alcohol abuse, physical inactivity, and poor diet are detrimental to health, costly, and often co-occur. Greater efforts are being targeted at changing multiple risk behaviors to more comprehensively address the health needs of individuals and populations. With increased interest in multiple risk factor interventions, the field will need ways to conceptualize the issue of overall behavior change. Method: Analyzing data from over 8000 participants in four multibehavioral interventions, we present five different methods for quantifying and reporting changes in multiple risk behaviors. Results: The methods are: (a) the traditional approach of reporting changes in individual risk behaviors; (b) creating a combined statistical index of overall behavior change, standardizing scores across behaviors on different metrics; (c) using a behavioral index; (d) calculating an overall impact factor; and (e) using overarching outcome measures such as quality of life, related biometrics, or cost outcomes. We discuss the methods\u27 interpretations, strengths, and limitations. Conclusion: Given the lack of consensus in the field on how to examine change in multiple risk behaviors, we recommend researchers employ and compare multiple methods in their publications. A dialogue is needed to work toward developing a consensus for optimal ways of conceptualizing and reporting changes in multibehavioral interventions

The benefits and challenges of multiple health behavior change in research and in practice

Objective: The major chronic diseases are caused by multiple risks, yet the science of multiple health behavior change (MHBC) is at an early stage, and factors that facilitate or impede scientists\u27 involvement in MHBC research are unknown. Benefits and challenges of MHBC interventions were investigated to strengthen researchers\u27 commitment and prepare them for challenges. Method: An online anonymous survey was e-mailed to listservs of the Society of Behavioral Medicine between May 2006 and 2007. Respondents (N = 69) were 83% female; 94% held a doctoral degree; 64% were psychologists, 24% were in public health; and 83% targeted MHBC in their work. Results: A sample majority rated 23 of the 24 benefits, but only 1 of 31 challenge items, as very to extremely important. Those engaged in MHBC rated the total benefits significantly higher than respondents focused on single behaviors, F(1,69) = 4.21, p \u3c .05, and rated the benefits significantly higher than the challenges: paired t(57) = 7.50, p \u3c .001. The two groups did not differ in ratings of challenges. Conclusion: It appears that individuals focused solely on single behaviors do not fully appreciate the benefits that impress MHBC researchers; it is not that substantial barriers are holding them back. Benefits of MHBC interventions need emphasizing more broadly to advance this research area

Contraceptive and Condom Use Adoption and Maintenance: A Stage Paradigm Approach

The Transtheoretical Model of Behavior Change was examined for its applicability to contraceptive and condom use adoption and maintenance using N = 248 heterosexually active college-age men and women. The model posits that individuals do not go directly from old behaviors to new behaviors, but progress through a sequence of stages: precontemplation, contemplation, preparation, action, and maintenance. The stages of change offer a temporal dimension that provides information regarding when a particular shift in attitudes, intentions, and behavior may occur. The model also postulates a set of constructs that act as sensitive intervening or outcome variables—the pros and cons of change and self-efficacy. The results demonstrated that individuals were furthest along in the stages of change for general contraceptive use, followed closely by condom use with other (e.g., casual) partners, and then condom use with main partners. Although no sex differences were found for the stages for the three separate contraceptive behaviors, males and females differed on the pros and cons and levels of self-efficacy when engaging in intercourse with the two types of partners. MANOVA/ANOVA results indicated that the relationship between stages and other constructs follows predicted patterns suggesting that the transtheoretical model may provide a useful framework or paradigm for understanding contraceptive and condom use behavior

Transtheoretical principles and processes for quitting smoking: A 24-month comparison of a representative sample of quitters, relapsers, and non-quitters

This longitudinal study compared 14 principles and processes of change applied by successful quitters, relapsers and non-quitters over 24 months in a representative sample of 4144 smokers in intervention and control groups. The successful quitters showed a decrease in the use of experiential processes (cognitive, affective and effective) and an increase in behavioral processes (e.g., counter-conditioning and stimulus control). The non-quitters showed little change in their use of almost all of the processes. The relapsers\u27 use of the processes tended to initially parallel the successful quitters, but over time, their use ended up between the quitters and the non-quitters. In general, the relapsers ended up working harder but not smarter than the successful quitters. The pattern of use of change processes in the treatment and control groups were remarkably similar, suggesting common pathways to change

Predictors of relapse among smokers: Transtheoretical effort variables, demographics, and smoking severity

The present longitudinal study investigates baseline assessments of static and dynamic variables, including demographic characteristics, smoking severity, and Transtheoretical Model of Behavior Change (TTM) effort variables (Decisional Balance (i.e. Pros and Cons), Situational Temptations, and Processes of Change) of relapse among individuals who were abstinent at 12 months. The study sample (N = 521) was derived from an integrated dataset of four population-based smoking cessation interventions. Several key findings included: Participants who were aged 25–44 and 45–64 (OR = .43, p = .01 and OR = .40, p = .01, respectively) compared to being aged 18–24 were less likely to relapse at follow-up. Participants in the control group were more than twice as likely to relapse (OR = 2.17, p = .00) at follow-up compared to participants in the treatment group. Participants who reported higher Habit Strength scores were more likely to relapse (OR = 1.05, p = .02). Participants who had higher scores of Reinforcement Management (OR = 1.05, p = .04) and Self-Reevaluation (OR = 1.08, p = .01) were more likely to relapse. Findings add to one assumption that relapsers tend to relapse not solely due to smoking addiction severity, but due to immediate precursor factors such as emotional distress. One approach would be to provide additional expert guidance on how smokers can manage stress effectively when they enroll in treatment at any stage of change

Initial efficacy of MI, TTM tailoring and HRI’s with multiple behaviors for employee health promotion

Objective: This study was designed to compare the initial efficacy of Motivational Interviewing (MI), Online Transtheoretical Model (TTM)-tailored communications and a brief Health Risk Intervention (HRI) on four health risk factors (inactivity, BMI, stress and smoking) in a worksite sample. Method: A randomized clinical trial assigned employees to one of three recruitment strategies and one of the three treatments. The treatment protocol included an HRI session for everyone and in addition either a recommended three TTM online sessions or three MI in person or telephone sessions over 6 months. At the initial post-treatment assessment at 6 months, groups were compared on the percentage who had progressed from at risk to taking effective action on each of the four risks. Results: Compared to the HRI only group, the MI and TTM groups had significantly more participants in the Action stage for exercise and effective stress management and significantly fewer risk behaviors at 6 months. MI and TTM group outcomes were not different. Conclusion: This was the first study to demonstrate that MI and online TTM could produce significant multiple behavior changes. Future research will examine the long-term impacts of each treatment, their cost effectiveness, effects on productivity and quality of life and process variables mediating outcomes

Transtheoretical Model-based multiple behavior intervention for weight management: Effectiveness on a population basis

Background: The increasing prevalence of overweight and obesity underscores the need for evidence-based, easily disseminable interventions for weight management that can be delivered on a population basis. The Transtheoretical Model (TTM) offers a promising theoretical framework for multiple behavior weight management interventions. Methods: Overweight or obese adults (BMI 25–39.9; n = 1277) were randomized to no-treatment control or home-based, stage-matched multiple behavior interventions for up to three behaviors related to weight management at 0, 3, 6, and 9 months. All participants were re-assessed at 6, 12, and 24 months. Results: Significant treatment effects were found for healthy eating (47.5% versus 34.3%), exercise (44.90% versus 38.10%), managing emotional distress (49.7% versus 30.30%), and untreated fruit and vegetable intake (48.5% versus 39.0%) progressing to Action/Maintenance at 24 months. The groups differed on weight lost at 24 months. Co-variation of behavior change occurred and was much more pronounced in the treatment group, where individuals progressing to Action/Maintenance for a single behavior were 2.5–5 times more likely to make progress on another behavior. The impact of the multiple behavior intervention was more than three times that of single behavior interventions. Conclusions: This study demonstrates the ability of TTM-based tailored feedback to improve healthy eating, exercise, managing emotional distress, and weight on a population basis. The treatment produced a high level of population impact that future multiple behavior interventions can seek to surpass

Longitudinal analysis of intervention effects on temptations and stages of change for dietary fat using parallel process latent growth modeling

The Dietary Guidelines for Americans recommend a 20–35 percent daily intake of fat. Resisting the temptation to eat high-fat foods, in conjunction with stage of readiness to avoid these foods, has been shown to influence healthy behavior change. Data (N = 6516) from three randomized controlled trials were pooled to examine the relationships among direct intervention effects on temptations and stage of change for limiting high-fat foods. Findings demonstrate separate simultaneous growth processes in which baseline level of temptations, but not the rate of change in temptations, was significantly related to the change in readiness to avoid high-fat foods