Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis.

BACKGROUND: Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors. OBJECTIVE: The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years. METHODS: The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep. RESULTS: A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework. CONCLUSIONS: eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.

"Healthier health in more ways than one": Perspectives on a program for changing both smoking and obesity-related health behaviors.

INTRODUCTION: Individuals with obesity who smoke cigarettes have increased risk of morbidity and mortality. The goal of the current study was to inform the development of a multiple health behavior change intervention designed to facilitate smoking cessation while also targeting weight gain. METHODS: Four qualitative focus groups were conducted with individuals who smoked cigarettes and had overweight or obesity (n = 16) to explore the combined effects of smoking and obesity, past attempts to quit smoking or lose weight, and preferences for a combined health intervention. RESULTS: Focus groups converged on five themes including: the interactive effects of weight and smoking; lack of experience with evidence-based weight loss approaches; a desire and expectation to lose weight quickly; rapid weight gain during past attempts at smoking cessation; and interest in a multiple health behavior change intervention with weight management preceding smoking cessation and an emphasis on planning for the future and receiving encouragement and support. CONCLUSIONS: Groups provided insight into key topics to highlight in a combined intervention and key issues that have interfered with success in both domains.

Effectiveness of multiple health behavior change interventions in reducing symptoms of anxiety in the adult population: A systematic review and meta-analysis of randomized controlled trials.

There is limited evidence regarding the effectiveness of preventive interventions for anxiety disorders. We aim to test the effectiveness of multiple health behavior change (MHBC) interventions in the reduction of symptoms of anxiety in the adult population. A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted by searching the most relevant databases and registry platforms in the area. Reference lists of included articles and relevant systematic reviews and meta-analyses of MHBC interventions that examined anxiety or depression as outcomes were also manually searched. To identify RCTs that evaluated preventive interventions, we excluded studies in which the target population included only patients meeting the diagnostic criteria for anxiety disorders. To pool results, the standardized mean difference (SMD) was calculated using the random effects model. Sensitivity, subgroup and meta-regression analyses were performed. Forty-six RCTs were included in the qualitative synthesis, and 34 RCTs were included in the meta-analysis. Thirty RCTs were focused on promoting healthy diet and physical activity, whereas the other 16 studies also focused on smoking cessation. The pooled SMD was small (-0.183; 95% CI -0.276 to -0.091) but significant (p < 0.001). The effect became non-significant when only studies with a low risk of bias were included. There was substantial and significant heterogeneity between the studies. There is currently insufficient evidence regarding the effectiveness of MHBC interventions to reduce symptoms of anxiety in the adult population.

Moderators of a Diet and Physical Activity Intervention: who Responds Best to Sequential vs. Simultaneous Approaches.

BACKGROUND: Given that low physical activity levels and poor dietary intake are co-occurring risk factors for chronic disease, there is a need for interventions that target both health behaviors, either sequentially or simultaneously. Little is known about participant characteristics that are associated with better or worse response to sequential and simultaneous interventions. METHOD: The 12-month Counseling Advice for Lifestyle Management (CALM) randomized trial (N = 150; Mage = 55.3 years) targeted these two behaviors either via a sequential approach - dietary advice first then exercise advice added ("Diet-First") or exercise advice first then dietary advice added ("Exercise-First") - or via a simultaneous approach. The objective was to examine demographic, clinical, and psychosocial moderators of intervention effects on 12-month change in (1) moderate-to-vigorous physical activity (MVPA), (2) fruit/vegetable intake, (3) caloric intake from saturated fat, and (4) weight. Hierarchical regressions first compared Diet-First to Exercise-First, followed by comparisons of these arms combined ("sequential") to the simultaneous arm. RESULTS: Older age, higher baseline BMI, and lower social support were associated with higher MVPA in Exercise-First vs. Diet-First, while lower tangible support was associated with higher fruit/vegetable intake in Exercise-First but not in Diet-First. Poor sleep was associated with higher levels of MVPA in the sequential arm than in the simultaneous arm. Lower vitality was associated with greater weight loss in the sequential arm than in the simultaneous arm, while the opposite was true for those who were not married. CONCLUSION: Identifying moderators of treatment response can allow the behavioral medicine field to enhance intervention efficacy by matching participant subgroups to their best-fitting interventions. TRIAL REGISTRATION: NCT00131105.

A Smartphone-Based Implicit Theories Intervention for Health Behavior Change: Randomized Trial.

BACKGROUND: Implicit theories of health describe individuals' beliefs about the malleability of health. Individuals with an incremental theory of health believe that health, in general, is malleable, whereas individuals with an entity theory of health endorse the idea that health is largely fixed and predetermined. Previous research has shown that an incremental theory of health is associated with beneficial health outcomes and behaviors. A mobile health implicit theories intervention could be an effective way to increase health-promoting behaviors in the general population. OBJECTIVE: The aim of this study was to estimate the effect of a smartphone-based intervention designed to promote an incremental theory of health on the frequency of health-promoting behaviors in everyday life. The study used ecological momentary assessment to measure health behavior change. METHODS: This 2-arm, single-blind, delayed intervention design included 149 German participants (mean age 30.58, SD 9.71 years; n=79 female). Participants were asked to report their engagement in 10 health-promoting behaviors throughout the day for 3 weeks. Participants were randomly assigned to either an early intervention group (n=72) or a delayed intervention group (n=77). The intervention materials, designed to promote an incremental theory of health, were provided to participants after 1 week (early intervention group) or 2 weeks (delayed intervention group) of baseline behavior measurement. Data for this study were collected between September 2019 and October 2019. RESULTS: A paired-samples 2-tailed t test revealed that participants reported a stronger incremental theory after responding to the intervention materials (mean 5.58, SE 0.07) compared with incremental theory measured in an entry questionnaire (mean 5.29, SE 0.08; t148=4.07, SE 0.07; P<.001; 95% CI 0.15-0.43; d=0.33). Multilevel analyses showed that participants reported engaging in health-promoting behaviors more often after being presented with the intervention materials compared with baseline across conditions (b=0.14; t146.65=2.06, SE 0.07; P=.04; 95% CI 0.01-0.28). However, when the analysis was conducted separately for the early and delayed intervention groups, the intervention effect was only significant for the delayed intervention group (b=0.27; t1492.37=3.50, SE 0.08; P<.001; 95% CI 0.12-0.42). There was no significant increase in health-promoting behaviors for the early intervention group (b=0.02; t69.23=0.14, SE 0.11;P=.89; 95% CI -0.2 to 0.23). CONCLUSIONS: This study suggests that a smartphone-based intervention designed to promote an incremental theory of health is a cost- and time-effective approach to increase the frequency of engaging in health-promoting behaviors. However, research is needed to understand the reasons for the difference in intervention effects between the early and delayed intervention groups. The results of this study can guide the development of future digital health interventions that focus on implicit theories to promote health behavior change. TRIAL REGISTRATION: DRKS - German Clinical Trials Register DRKS00017379; https://drks.de/search/de/trial/DRKS00017379.

Patient motivation and preferences in changing co-occurring health risk behaviors in general hospital patients.

OBJECTIVES: More than 60% of general hospital patients report ≥ 2 health risk behaviors (HRBs), i.e. tobacco smoking, at-risk alcohol use, unhealthy diet, and/or insufficient physical activity. This study investigates a) the association between numbers of HRBs and motivation to change, b) patient preferences for receiving feedback on HRBs, and c) patients' expected gain in quality of life if behavior change made. METHODS: In 2020/2021, 256 18-64-year-old general hospital patients (72.1% of eligibles) reported on their motivation to change each of their HRBs. Associations between HRB number and motivation were assessed using multivariate linear regressions. Participants ranked HRBs concerning their interest in receiving feedback and concerning their expected gain in quality of life if behavior change occurred. RESULTS: Higher HRB number was negatively related to motivation among at-risk alcohol users (p = 0.034); 24.6% expected gain in their quality of life from behavior change. Participants overall appeared more favorable to feedback about vegetable/fruit intake and physical activity. CONCLUSIONS: Unhealthier lifestyle may be accompanied by decreased motivation to change in at-risk alcohol users. In case of co-occurring HRBs, asking patients for expected gain in quality of life may help guiding intervention target. PRACTICE IMPLICATIONS: Relying on patient selection only, may often leave substance-use unaddressed.

Communicating the risks of tobacco and alcohol co-use.

BACKGROUND: While tobacco and alcohol co-use is highly prevalent across the United States, little experimental research has examined ways to counter such dual use. We developed and tested messages about the risks of co-using tobacco and alcohol among adults who used a combustible tobacco product and drank alcohol within the 30 days. METHODS: In an online experiment, 1,300 participants were randomly assigned to read different messages about tobacco and alcohol co-use (e.g., Alcohol and tobacco cause throat cancer). Three between-subjects experiments manipulated the presence of: 1) a marker word (e.g., Warning), 2) text describing the symptoms of health effects and a quitting self-efficacy cue, and 3) an image depicting the health effect. Participants rated each message using a validated Perceived Message Effectiveness (PME) scale. We used independent samples t-tests to examine differences between experimental conditions. Results include effect sizes (Cohen's d) to compare standardized mean differences. RESULTS: Our sample was 64% male, 70% white, 23% Black, and 17% Hispanic/Latino with a mean age of 42.4 (SD = 16.4) years. Messages that described the symptoms of the health effect (d = 0.17, p = 0.002) and included an image (d = 0.11, p = 0.04) were rated significantly higher in PME compared with messages that did not describe symptoms and were text-only. We found no significant effects of a marker word or self-efficacy cue on PME. CONCLUSIONS: Messages that describe the symptoms of health effects and include text and images may be particularly effective for communicating the risks of tobacco and alcohol co-use and decreasing adverse health effects from co-use.

The joint effect of multiple health behaviors on odds of diabetes, depression.

This study examines the relationship between health determinant behaviors themselves, and their subsequent combined relationship with chronic illness (diabetes/impaired glucose regulation, depression). While numerous studies have proven the benefits of engaging in more healthy behaviors, the question has not been answered whether the effect of multiple healthy behaviors together is greater than the sum of the effects alone. The study design is cross-sectional, using data on the adult population from the 2017 California Health Interview Survey (CHIS). A total of 21,116 participants were included in final analyses. We used multivariable adjusted logistic regression to calculate odds ratios for diabetes and for depression at each subsequent level of a healthy lifestyle index (HLI). We also calculated the adjusted odds ratios between adjacent levels of the index. The odds of having depression and, separately, of having diabetes each decreased with each additional healthy lifestyle behavior, with three of five depression ratios significant at p < 0.05, and four of five significant for diabetes. The magnitude of the association between the HLI level and odds for disease declines exponentially with each additional healthy lifestyle factor, contrary to the hypothesis, for depression, but fits the hypothesis for diabetes. Our results are important for health promotion, suggesting that even one healthy behavior may dramatically decrease the odds for having depression, regardless of the type of healthy behavior chosen. Our results also show an association between lower prevalence of depression and health behaviors historically only considered preventive for physical illness.

Implementation of the EIRA 3 Intervention by Targeting Primary Health Care Practitioners: Effectiveness in Increasing Physical Activity.

The World Health Organization (WHO) estimated that physical inactivity (PI) is responsible for 20 to 30% of all non-communicable diseases. We aimed to analyze the effectiveness of a multiple health behavior change (MHBC) intervention to increase physical activity (PA) in patients 45 to 75 years old who had at least 2 of 3 unhealthy behaviors (tobacco use, reduced fruit and vegetable consumption, and insufficient PA). The MHBC intervention is based on the Transtheoretical Model and the conceptual framework of the "5 A's" and includes an individually tailored intervention, group sessions, and the use of community resources. We included 3062 participants, 1481 in the intervention group and 1581 in the control group. After 12 months, there were no differences in PA intensity measured by metabolic_equivalent_of_task_minutes/week (adjusted mean difference: 284.093, 95% CI: -298.24, 866.42) nor in the proportion of participants who increased PA levels to moderate or high (OR: 1.02, 95% CI: 0.85, 1.23; p = 0.822), and no differences in blood pressure, weight loss, or waist circumference. We found an increased proportion of patients in the intervention group who followed the WHO recommendations for PA (OR: 1.29; 95% CI: 1.04, 1.60; p = 0.02). We concluded that the intervention did not lead to a significant increase in PA.

Multiple Health Behavior Programs in School Settings: Strategies to Promote Transfer-of-Learning Through Life Skills Education.

Typically, schools implement health promotion programs that focus on a single behavioral domain. Multiple related health topics may be addressed using separate interventions, potentially producing overlap in program content. However, integrative approaches in health promotion have the potential to produce interventions capable of improving multiple health behaviors. In particular, more research is needed to identify the conditions and the factors that can promote the transfer of learning to broaden the target outcomes of health promotion programs. The present study aims to identify the characteristics of an evidence-based life skills education program that can facilitate the transfer of learning to different health behaviors not initially targeted by the program, and the strategies for achieving successful transfer. A two round Delphi method was used with a diverse group of 21 experts in health promotion, life skills education, and methods of pedagogy for early adolescent students. Questionnaires with open and closed-ended questions were administered on-line. Content qualitative analysis was run, integrating codes, subcategories, and categories of the two rounds of the study. Results showed strong consensus among experts about the potential for promoting the transfer of skills from one health domain to another. Many elements were identified as important factors that facilitate the transfer of learning. Strategies for successful transfer were related to teaching methods, educational approaches, and consistency with the broader school curriculum. Findings suggest that the successful transfer of learning to a new health domain requires that educators recognize its importance and explicitly designate it as an educational aim.

Effects of eHealth-Based Multiple Health Behavior Change Interventions on Physical Activity, Healthy Diet, and Weight in People With Noncommunicable Diseases: Systematic Review and Meta-analysis.

BACKGROUND: Noncommunicable diseases (NCDs) are associated with the burden of premature deaths and huge medical costs globally. There is an increasing number of studies combining a multiple health behavior change (MHBC) intervention paradigm with eHealth approaches to jointly promote weight-related health behaviors among people with NCD; yet, a comprehensive summary of these studies is lacking. OBJECTIVE: This review aims to meta-analyze the effectiveness and systematically summarize the characteristics of the relevant intervention studies for improving the outcomes of physical activity, healthy diet, and weight among people with NCD. METHODS: Following PRISMA guidelines, 4 electronic databases (PsycINFO, PubMed, Scopus, SPORTDiscus) were systematically searched to identify eligible articles based on a series of inclusion and exclusion criteria. Article selection, quality assessment, and data extraction were independently performed by 2 authors. The standardized mean difference (SMD) was calculated to evaluate the effectiveness of interventions for 3 intervention outcomes (physical activity, healthy diet, and weight), and subsequent subgroup analyses were performed for gender, age, intervention duration, channel, and theory. Calculations were conducted, and figures were produced in SPSS 22 and Review Manager 5.3. RESULTS: Of the 664 original hits generated by the systematic searches, 15 eligible studies with moderate to high quality were included. No potential publication bias was detected using statistical analyses. Studies varied in intervention channel, intensity, and content. The meta-analysis revealed that the eHealth MHBC interventions significantly promoted physical activity (SMD 0.85, 95% CI 0.23 to 1.47, P=.008) and healthy diet (SMD 0.78, 95% CI 0.13 to 1.43, P=.02), but did not contribute to a healthy weight status (SMD -0.13, 95% CI= -0.47 to 0.20, P=.43) among people with NCDs, compared to the control conditions. Results from subgroup analysis indicated that theory-based interventions achieved greater effect than nontheory-based interventions in promoting physical activity, and interventions with traditional approaches (SMS, telephone) were more effective than those with modern internet-based approaches in promoting healthy diet. CONCLUSIONS: The results of this review indicates that eHealth MHBC interventions achieve preliminary success in promoting physical activity and healthy diet behaviors among people with NCD. Future studies could improve the intervention design to achieve better intervention effectiveness. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42019118629; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=118629.

Compensation and transfer effects of eating behavior change in daily life: Evidence from a randomized controlled trial.

Pursuing specific eating goals may lead to the adoption of other healthy behaviors (transfer) or compensation with unhealthy behaviors. Previous research has mostly investigated such processes using non-experimental studies focusing on interindividual differences. To investigate transfer or compensation of eating behavior in daily life, we analyzed data from a 2 (eating goal: more fruit and vegetables [FV] vs. fewer unhealthy snacks) x 2 (intervention vs. control group) factorial randomized trial. Adopting a within-person perspective, we studied potential transfer and compensation 1) between different eating behaviors and physical activity (PA), and 2) in response to an eating behavior change intervention. Participants (N = 203) received either goals to increase FV intake or decrease unhealthy snack intake and completed a daily e-diary. Eating more unhealthy snacks predicted 0.16 less FV portions (ß = -0.07; p < 0.001) and 18% less unhealthy snack intake the next day (p < 0.001). Eating more FV predicted 0.42 less FV portions the next day (ß = -0.07; p < 0.001). Participants with the FV eating goal intervention decreased unhealthy snacks (p = 0.012) and PA (p = 0.019) by 8% compared to controls, respectively. Similar but non-significant patterns were observed for participants with the decreasing unhealthy snack goal intervention (p > 0.05). Results indicated both compensation and transfer processes in daily life. Relationships mostly occur within the same behavior and rather support compensatory effects. In turn, a behavior change intervention to promote FV intake potentially enhances non-assigned eating behaviors, indicating transfer, but may lower PA.

Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females.

Chronic diseases are the leading cause of disability and mortality globally. In Australia, females are at heightened risk. This research explored the prevalence, patterns, and correlates of six key risk behaviors (physical inactivity, poor diet, recreational screen time, inadequate sleep, alcohol use, and smoking) among adolescent females and whether knowledge of health guidelines was associated with adherence. Adolescent females completed an anonymous online questionnaire (N = 687; Mage = 13.82). Logistic regression assessed the association between knowledge and adherence. A Latent Class Analysis (LCA) and three-step procedure identified risk behavior clusters and their correlates. Despite positive health self-ratings (77% good/very good), most participants reported insufficient moderate-to-vigorous physical activity (MVPA; 89%), vegetable intake (89%), and excessive screen time (63%). Knowledge of guidelines was associated with adherence for MVPA, vegetable intake, sleep, and alcohol abstinence. Three classes emerged: "moderate risk" (76%), "relatively active, healthy eaters" (19%), and "excessive screen users" (5%). These risk-behavior clusters were associated with perceived value of academic achievement and physical wellbeing. Adolescent females commonly perceive they are in good health, despite engaging in unhealthy behaviors. Public health interventions should utilize effective behavior change strategies, adopt a multiple health behavior change approach (MHBC), and be tailored to specific risk profiles and values among females.

Examining Determinants and Co-associations Between Fruit and Vegetable and Sugar-Sweetened Beverage Monitoring Practices Among a Sample of Low-Income Hispanic Mothers.

The etiology of obesity is complex, and a growing body of research suggests that changing two or more behaviors at the same time will likely have a stronger impact than changing one behavior in isolation. A lack of fruit and vegetable (FV) intake and high sugar-sweetened beverage (SSB) consumption are two behaviors related to childhood obesity in the Hispanic community. The purpose of this study was to evaluate theory-based determinants of monitoring practices of FV and SSB among Hispanic mothers with young children using the reasoned action approach. The study also examined the co-associations among the theoretical antecedents for both behaviors. Surveys were distributed in several community settings to urban Hispanic mothers (n = 238) of 2-5-year-old children. Surveys assessed FV and SSB monitoring practices, attitudes, perceived norms, perceived behavioral control (PBC), and intentions. Two models were evaluated using structural equation modeling: attitudes, perceived norms, and PBC of both behaviors were associated with intentions for both behaviors, and PBC and intentions were associated with monitoring practices of FV and SSB. Both models had adequate fit (FV (CFI = 0.973; GFI = 0.980; RMSEA = 0.121); SSB (CFI = 0.994; GFI = 0.993; RMSEA = 0.066)). PBC for both FV and SSB monitoring was significantly associated with SSB monitoring, whereas FV intentions was only significantly associated with FV monitoring. Results from this study gives evidence that among Hispanic mothers, FV and SSB monitoring behaviors are interrelated. To promote SSB monitoring, more implementation strategies (i.e., skills-based interventions) are warranted, whereas to promote FV monitoring, motivational strategies are warranted.

Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults.

This study examined the between-person associations of seven health behaviors in adults with obesity participating in a weight loss intervention, as well as the covariations between these behaviors within-individuals across the intervention. The present study included data from a 12-month weight loss trial (N = 278). Seven health behaviors (physical activity, sedentary behavior, sleep duration, and consumption of fruits, vegetables, total fat and added sugar) were measured at baseline, 6- and 12-months. Between- and within-participants network analyses were conducted to examine how these behaviors were associated through the 12-month intervention and covaried across months. At the between-participants level, associations were found within the different diet behaviors and between total fat and sedentary behaviors. At the within-participants level, covariations were found between sedentary and diet behaviors, and within diet behaviors. Findings suggest that successful multiple health behaviors change interventions among adults with obesity will need to (1) simultaneously target sedentary and diet behaviors; and (2) prevent potential compensatory behaviors in the diet domain.

Changing multiple health behaviors in cancer survivors: smoking and exercise.

Research regarding cross-behavioral relationships between the cognitive mechanisms motivating health behavior change is lacking for cancer survivors. This study investigated these relationships to inform the development of multiple health behavior change (MHBC) interventions for this at-risk population. Eligible participants included cancer survivors attending an intake appointment for smoking cessation services. This cross-sectional survey study assessed participants' self-efficacy and motivation (stage of change) for smoking cessation and exercise, as well as self-reported health behaviors. Analyses evaluated cross-behavioral associations between cognitive mechanisms and their relationships with smoking and exercise behaviors. Seventy-six participants completed the survey questionnaire. The correlation between self-efficacy scores for smoking cessation and exercise was statistically significant (r = .45, 95% CI [.09, .67]), as were correlations between self-efficacy and reported levels of exercise ((r = .44, 95% CI [.20, .65]) strenuous); ((r = .36, 95% CI [.12, .59]) moderate), exercise self-efficacy and smoking behavior (r = -.27, 95% CI [-.46, -.05]), and smoking self-efficacy and smoking behavior (r = -0.41, 95% CI [-.61, -.18]). For cancer survivors, associations between exercise self-efficacy and smoking cessation self-efficacy may offer an opportunity to leverage MHBC; specifically, this positive association may facilitate exercise intervention in survivors seeking smoking cessation services..

The Stony Brook Health Enhancement Program: The development of an active control condition for mind-body interventions.

This article describes the development of a manualized, eight-session multiple health behavior change program which addresses sleep, exercise, nutrition, substance use, and working with one's healthcare team. Our goal was to design a structured, evidence-based program that could be facilitated by a single health professional and could act as an active, credible control for mind-body intervention studies. Psychoeducational content was adapted from the latest government and peer-reviewed guidelines. Preliminary work suggests the program is acceptable and feasible for use in patients of varying ages with heterogeneous mental and physical health problems. It is adaptable for both face-to-face and online delivery.

Healthy Recovery: A Pilot Study of a Smoking and Other Health Behavior Change Intervention for People Attending Residential Alcohol and Other Substance Dependence Treatment.

Objective: It is common for people attending alcohol and other substance dependence treatment to present with multiple unhealthy lifestyle behaviors such as high rates of smoking, physical inactivity, and poor diet. Healthy lifestyle interventions are increasing in importance in the general population, but have been underexamined within alcohol and other substance use populations. The purpose of the current study was to pilot "Healthy Recovery," a group program that primarily aimed to help people attending alcohol or other substance dependence treatment to reduce or quit smoking. The program also encourages participants to increase physical activity and to eat more servings of fruit and vegetables. Methods: The current study was conducted as a non-randomized controlled pilot trial. All participants were attending residential substance dependence treatment provided by the Australian Salvation Army. In addition to treatment as usual, participants in the treatment condition completed Healthy Recovery (n = 50) and participants in the control group completed an online depression program (n = 27). The study examined the health outcomes of participants (i.e., smoking, physical activity, fruit and vegetable intake, and symptom distress) and the feasibility of running the group sessions within the residential facilities. Results: Within-treatment effects demonstrated medium to large positive effects for reductions in smoking and increases in physical activity, servings of fruit, and servings of vegetables for people completing Healthy Recovery. When compared to the control condition, there were medium effects in favor of the Healthy Recovery condition for reductions in smoking and increases in physical activity. There was a small effect for servings of fruit and no effect for servings of vegetables. Conclusions: Results from this study demonstrated that people attending residential substance dependence treatment are willing and capable of engaging in multiple health behavior change interventions.

Is There a Spillover Effect of Targeted Dietary Change on Untargeted Health Behaviors? Evidence From a Dietary Modification Trial.

Background. The gateway behavior hypothesis posits that change in a health behavior targeted for modification may promote positive changes in other untargeted health behaviors; however, previous studies have shown inconsistent results. Aims. To examine the patterns and predictors of change in untargeted health behaviors in a large health behavior change trial. Method. Using repeated-measures latent class analysis, this study explored patterns of change in untargeted physical activity, alcohol consumption, and smoking behavior during the first year of the Women's Health Initiative dietary modification trial that targeted total fat reduction to 20% kcal and targeted increased fruit and vegetable intake. Participants were healthy postmenopausal women who were randomly assigned to either the low-fat dietary change intervention (n = 8,193) or a control (n = 12,187) arm. Results. Although there were increases in untargeted physical activity and decreases in alcohol consumption and smoking in the first year, these changes were not consistently associated with study arm. Moreover, although the results of the repeated-measures latent class analysis identified three unique subgroups of participants with similar patterns of untargeted health behaviors, none of the subgroups showed substantial change in the probability of engagement in any of the behaviors over 1 year, and the study arms had nearly identical latent class solutions. Discussion and Conclusion. These findings suggest that the dietary intervention did not act as a gateway behavior for change in the untargeted behaviors and that researchers interested in changing multiple health behaviors may need to deliberately target additional behaviors.

Enhancing behavioral change among lung cancer survivors participating in a lifestyle risk reduction intervention: a qualitative study.

PURPOSE: Early detection and improved treatment have increased lung cancer survival. Lung cancer survivors have more symptom distress and lower function compared with other cancer survivors; however, few interventions are available to improve health-related quality of life (HR-QOL). Lifestyle risk reduction interventions have improved HR-QOL in other cancer survivors. The purpose of this study was to explore lung cancer survivor perspectives on making behavioral changes in the context of a lifestyle risk reduction intervention. METHODS: Twenty-two lung cancer survivors participated in interviews after completing the Healthy Directions (HD) intervention. Interviews were audiotaped, transcribed, and analyzed using inductive content analysis. Demographic and clinical characteristics were gathered through a survey and analyzed using descriptive statistics. RESULTS: Five main themes were identified: (1) the diagnosis was a motivator for behavior change, (2) participants had to deal with disease consequences, (3) the coach provided guidance, (4) strategies for change were initiated, and (5) social support sustained behavioral changes. Other important subthemes were the coach helped interpret symptoms, which supported self-efficacy and goal setting, and survivors employed self-monitoring behaviors. Several participants found the recommended goals for physical activity were difficult and were discouraged if unable to attain the goal. Findings underscore the need for individualized prescriptions of physical activity, especially for sedentary survivors. CONCLUSIONS: Lung cancer survivors described the benefits of coaching to enhance their engagement in behavioral change. Additional research is needed to validate the benefit of the HD intervention to improve HR-QOL among this vulnerable and understudied group of cancer survivors.