Behavior change techniques in digital physical activity interventions for breast cancer survivors: a systematic review.

Given the broad benefits of physical activity (PA) but low PA levels among breast cancer survivors (i.e., women who have received a breast cancer diagnosis), innovative and evidence-based techniques are needed to motivate and support exercise. This study systematically reviews the use of behavior change techniques (BCTs) in digital PA interventions for breast cancer survivors. Studies were retrieved from five electronic databases and were included if they (i) sampled exclusively female breast cancer survivors aged >18 years, (ii) involved a digital intervention with the primary purpose of increasing PA, (iii) included a BCT component, (iv) used a randomized or quasi-randomized design, and (v) were published from January 2000 to May 2022. Two coders independently extracted data. Twenty primary studies met the inclusion criteria and were included in this review. All interventions used at least one BCT (mean 4 ± 1, range 2-13); self-monitoring (85%) and goal setting (79%) were the most common BCTs. Twelve of 20 (60%) studies reported improvements in PA behavior in the intervention vs. control group, and self-monitoring and goal setting were the most commonly used BCTs in these studies. Of the 93 total BCTs, 66 were not used in any interventions in the review, including critical constructs for PA behavior change (e.g., biofeedback). BCTs, important facilitators of PA behavior change, are being underutilized in digital PA interventions for breast cancer survivors. Future research should incorporate more diverse BCTs to explore if they can add to the effectiveness of digital interventions for this population.

Physical activity (PA) has many benefits, yet PA levels are low among breast cancer survivors (i.e., women who have received a breast cancer diagnosis). This study reviews the use of behavior change techniques (BCTs) in digital PA interventions for breast cancer survivors. BCTs are evidence-based and are important for encouraging changes in health behaviors, such as PA. Twenty studies were included in this review. All interventions used at least one BCT (mean 4 ± 1, range 2­13); self-monitoring (85%) and goal setting (79%) were the most common BCTs. Twelve of 20 (60%) studies reported improvements in PA, and self-monitoring and goal setting were the most commonly used BCTs in these studies. Of the 93 total BCTs, 66 were not used in any interventions in the review. This finding reveals that many BCTs, which are important influencers of behavior change, are often not being used in digital PA interventions for breast cancer survivors. BCTs such as biofeedback (e.g., providing information on heart rate during exercise) and practical social support (e.g., virtual exercise coaching), could be helpful. Future research should include more diverse BCTs to explore if they can add to the usefulness of digital interventions for this population.

Nudges and choice architecture to promote healthy food purchases in adults: A systematized review.

OBJECTIVE: Consistent with behavioral economic models that emphasize the context-dependance of behavioral choice, choice architecture strategies change the environmental context to promote or nudge healthier choices including the healthfulness of food purchases that may help reduce disease and premature death. This review summarizes research that investigated nudging interventions to promote healthful food purchase choices among adults. METHOD: A comprehensive systematized search strategy identified research published since 2009 that investigated the role of nudges and choice architecture interventions on adult food purchasing decisions with behavioral outcomes. Study data were extracted and summarized regarding nudge characteristics, design features, study quality, and food purchasing outcomes. RESULTS: The search identified 1,129 articles, 33 of which met inclusion criteria. Twelve studies were rated as high quality, 21 as neutral, and none as low quality. Some evidence of effectiveness was found for priming nudges that manipulated physical, verbal, or sensational cues to promote healthy choices (8 of 11 studies); salience and affect nudges that used novel or personally relevant cues to direct attention to healthy choices (3/3); messenger nudges that presented information on socially normative food choices (2/2), and default nudges that made healthy options the preset choice (1/2). In studies that combined nudge types, combining priming and salience and affect nudges was at least partially effective in 5 of 5 studies. CONCLUSIONS: Nudge applications in food purchasing settings, particularly priming, offers a promising public health strategy to encourage healthier food choices among adults. More research is needed to determine optimal nudge combinations and contexts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Social Network Drinking Feedback is Associated with Use of Protective Behavioral Strategies and Drinking-Related Outcomes in Emerging Adult Risky Drinkers.

OBJECTIVE: Although emerging adult risky drinkers are generally unmotivated to change their drinking, use of protective behavioral strategies (PBS) to minimize drinking risks is associated with decreased alcohol-related harms. However, research on social influences on PBS use and associations with drinking outcomes is limited and relevant to informing interventions for this priority population. This study investigated whether emerging adults' drinking-related behaviors were associated with social network encouragement, discouragement, or mixed messages about their drinking and with PBS use. METHOD: Risky drinkers ages 21-29 years (N = 356; 228 women; mean age = 23.6 years) were recruited from the community using digitally implemented respondent-driven sampling. A web-based survey assessed social network drinking feedback, PBS use, drinking practices and problems, and behavioral allocation of time and money to drinking. RESULTS: Negative binomial generalized linear models indicated that friend and spouse/ partner discouragement of drinking was associated with greater PBS use, whereas mixed messages were associated with lower use (ps < .05). Greater PBS use was associated with fewer alcohol-related negative consequences and lower behavioral allocation to drinking (ps < .05); the latter association was most consistent for serious harm reduction PBS (e.g., use of a designated driver). Mixed drinking messages from all relationship types had direct negative associations with drinking outcomes, particularly time and money allocated to drinking. CONCLUSIONS: Assessing social network features may guide interventions to increase PBS use and reduce drinking-related harms among emerging adult risky drinkers.

Social Network Feedback and Drinking Outcomes among Emerging Adult Risky Drinkers Living in Urban Communities.

Alcohol use and related problems often increase during emerging adulthood and are influenced by social networks. Investigating alcohol-specific feedback from network members may be useful for understanding social influences and designing interventions to reduce risky drinking among emerging adults.Purpose/Objectives: This study examined whether drinking practices and consequences among emerging adult risky drinkers living in disadvantaged urban communities were influenced by receipt of encouragement, discouragement, or mixed messages about drinking from network members. METHODS: Risky drinkers ages 21-29 (N = 356; 228 females; mean age = 23.6 years) residing in the community were recruited using digitally implemented Respondent Driven Sampling, a peer-driven chain referral method. A web-based survey assessed drinking practices, negative alcohol-related consequences, and drinking feedback from social network members including friends, spouse/partner, and other family members. RESULTS: Negative binomial generalized linear modeling showed that discouragement of drinking by friends was associated with fewer drinking days and negative consequences, whereas discouragement by family members (excluding spouse/partner) was associated with more drinks per drinking day. Mixed feedback (sometimes encouraging, sometimes discouraging drinking) from friends and spouse/partner was associated with more drinking days and negative consequences.Conclusions/Importance: Social network feedback had both risk and protective associations with drinking practices and problems among emerging adults, with discouragement to drink by friends appearing to serve a protective function. The findings suggest the utility of interventions delivered through social networks that amplify the natural protective function of friend discouragement of drinking, in addition to addressing established risks associated with peers.

Benzodiazepine misuse and cigarette smoking status in US adults: Results from the National Survey on Drug Use and Health, 2015-2018.

BACKGROUND: Benzodiazepines are the third most commonly misused drugs in the U.S. POPULATION: There is a growing public health concern related to recent increases in benzodiazepine-related overdose deaths, emergency department visits, and treatment admissions. Although benzodiazepine misuse often occurs along with other drug use, little is known about the association between benzodiazepine and cigarette smoking. METHODS: We used a pooled dataset from the National Survey on Drug Use and Health (NSDUH) for 2015-2018 (N = 171,766). We estimated a multivariable logistic regression model of past-year benzodiazepine misuse as a function of past-year tobacco use (cigarette smoking, other tobacco use), controlling for survey years, sociodemographics, past-year substance use, and psychiatric comorbidities. RESULTS: Among the analytic sample (N = 171,766), 2.1% (weighted; unweighted n = 4,942) reported they misused benzodiazepines in the past 12 months. In the multivariable logistic regression model, correlates of past-year benzodiazepine misuse were past-year cigarette smoking (aOR = 1.85, 95% CI = 1.67, 2.06) and other tobacco use (e.g., cigars and smokeless tobacco) (aOR = 1.17, 95% CI = 1.03, 1.34), female (aOR = 1.14, 95% CI = 1.04, 1.26), uninsured (aOR = 1.26, 95% CI = 1.12, 1.42), past-year use of alcohol (aOR = 1.48, 95% CI = 1.21, 1.80), cannabis (aOR = 2.76, 95% CI = 2.46, 3.10), and other drugs (aOR = 7.92, 95% CI = 7.08, 8.86), as well as, past-year distress (aOR = 1.84, 95% CI = 1.61, 2.10), and depressive symptoms (aOR = 1.32, 95% CI = 1.16, 1.51). CONCLUSION: Nicotine is independently associated with benzodiazepine misuse, even after controlling for other drug use and psychiatric variables. Future studies examining potential mechanisms linking nicotine and benzodiazepine use are necessary.

Behavioral economic indicators of risky drinking among community-dwelling emerging adults.

Objective: Behavioral economic (BE) approaches to understanding and reducing risky drinking among college students are well established, but little is known about the generalizability of prior findings to peers who currently are not traditional college students and are more difficult to reach for assessment and intervention. This cross-sectional survey investigated whether drinking practices and negative consequences were associated with greater alcohol demand, alcohol reward value, and delay discounting in this target population. Method: Community-dwelling emerging adult drinkers aged 21 to 29 (N = 357) were recruited using Respondent-Driven Sampling adapted to a digital platform (Mage = 23.6 years, 64% women). Peers recruited peers in an iterative fashion. Participants completed a web-based survey of drinking practices, negative alcohol-related consequences, and BE measures of alcohol demand, alcohol reward value, and delay discounting. Results: Regression analyses supported the study hypotheses. Higher alcohol demand (intensity and elasticity) predicted higher drinks per drinking day, more past-month drinking days, and more negative consequences. Higher alcohol reward value (discretionary alcohol spending and alcohol-involved activities) and stronger preference for sooner smaller versus later larger rewards predicted select drinking risk variables in the hypothesized direction (p < .05). Conclusions: BE risk characteristics were generalized to community-dwelling emerging adult risky drinkers, with the most consistent associations found between alcohol demand and drinking risk measures. The findings lay a foundation for extending successful BE interventions with college drinkers to this underserved population. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Utility of digital Respondent Driven Sampling to recruit community-dwelling emerging adults for assessment of drinking and related risks.

INTRODUCTION: Emerging adulthood often entails heightened risk-taking, including risky drinking, and research is needed to guide intervention development and delivery. This study adapted Respondent Driven Sampling, a peer-driven recruitment method, to a digital platform (d-RDS) and evaluated its utility to recruit community-dwelling emerging adult (EA) risky drinkers, who are under-served and more difficult to reach for assessment and intervention than their college student peers. MATERIALS AND METHODS: Community-dwelling EA risky drinkers (N = 357) were recruited using d-RDS (M age = 23.6 years, 64.0% women). Peers recruited peers in an iterative fashion. Participants completed a web-based cross-sectional survey of drinking practices and problems and associated risk and protective factors. RESULTS: d-RDS successfully recruited EA risky drinkers. On average, the sample reported recent drinking exceeding low-risk drinking guidelines and 8.80 negative consequences in the past three months. Compared to age-matched respondents from the representative U.S. National Survey on Drug Use and Health, the sample reported more past month drinking days and more drinks consumed per drinking day (ps < 0.001). At higher consumption levels, predicted positive associations were found with lower education and receipt of public assistance. CONCLUSIONS: Results supported the utility of d-RDS as a sampling method and grassroots platform for research and intervention with community-dwelling EA drinkers who are harder to reach than traditional college students. The study provides a method and lays an empirical foundation for extending efficacious alcohol brief interventions with college drinkers to this underserved population.

Utility of different dimensional properties of drinking practices to predict stable low-risk drinking outcomes of natural recovery attempts.

BACKGROUND: Functional measures indicating lower drinking problem severity predict stable low-risk drinking outcomes of recovery attempts, but findings for drinking practices are mixed. Because low-risk drinking outcomes are more common in natural than treatment-assisted recovery attempts, five studies of natural recovery attempts were integrated. Multiple dimensions of drinking practices during the year before recovery initiation were evaluated as predictors of post-recovery drinking (continuous abstinence, stable low-risk drinking, or unstable recovery involving relapse). METHODS: Community-dwelling problem drinkers (N = 616, 68% male, mean age = 46.5 years) were enrolled soon after stopping alcohol misuse and followed prospectively for one year. A Timeline Followback interview assessed daily drinking during the year before recovery initiation and yielded four dimensions for analysis: frequency of heavy drinking days (4+/5+ drinks for females/males), mean ethanol consumption per drinking day, variability in days between heavy drinking days, and variability in ethanol consumed per drinking day. RESULTS: Multinomial logistic regression models showed that variability in ethanol consumed per drinking day was the sole significant predictor of 1-year outcomes when all dimensions were evaluated together. The low-risk drinker group showed less fluctuation in quantities consumed on pre-recovery drinking days compared to the groups that abstained or relapsed (ps < 0.05). CONCLUSIONS: Even when drinking heavily, problem drinkers who maintained low-risk drinking recoveries limited their quantities consumed within a relatively narrow range, a pattern they maintained post-recovery at much lower consumption levels. Assessing variability in quantities consumed may aid drinking goal selection.