Outlook: Newsletter of the Society of Behavorial Medicine

Spring 2019

New Articles from Annals of Behavioral Medicine and Translational Behavioral Medicine

SBM's two journals, Annals of Behavioral Medicine and Translational Behavioral Medicine: Practice, Policy, Research (TBM), continuously publish online articles, many of which become available before issues are printed. Three recently published Annals and TBM online articles are listed below.

SBM members who have paid their 2018 membership dues are able to access the full text of all Annals and TBM online articles via the SBM website by following the steps below.

  1. Go to the Members Only section of the SBM website.
  2. Log in with your username and password.
  3. Click on the Journals link.
  4. Click on the title of the journal which you would like to electronically access.

To check if you are a current SBM member, or if you are having trouble accessing the journals online, please contact the SBM national office at info@sbm.org or (414) 918-3156.


Annals of Behavioral Medicine

Disentangling Efficacy and Expectations: A Prospective, Cross-lagged Panel Study of Cancer Survivors’ Physical Activity

Elizabeth A Fallon, Robert L Stephens, Bennett McDonald, Michael Diefenbach, Corinne R Leach

Background
Despite demonstrated utility of Bandura’s social cognitive theory for increasing physical activity among cancer survivors, the validity of the originally hypothesized relationships among self-efficacy, outcome expectations, and physical activity behavior continues to be debated.
Purpose
To explore the temporal ordering of outcome expectations and self-efficacy as they relate to moderate-to-vigorous physical activity behavior.
Methods
Longitudinal data from cancer survivors (N = 1,009) recently completing treatment were used to fit six cross-lagged panel models, including one parent model, one model representing originally hypothesized variable relationships, and four alternative models. All models contained covariates and used full information maximum likelihood and weighted least squares mean and variance adjusted estimation. Tests of equal fit between the parent model and alternative models were conducted.
Results
The model depicting Bandura’s originally hypothesized relationships showed no statistically significant relationship between outcome expectations and physical activity (p = .18), and was a worse fit to the data, compared with the parent model [Χ2 (1) = 5.92, p = .01]. An alternative model showed evidence of a reciprocal relationship between self-efficacy and outcome expectations, and was statistically equivalent to the parent model [Χ2(1) = 2.01, p = .16].
Conclusions
This study provides evidence against Bandura’s theoretical assertions that (a) self-efficacy causes outcome expectations and not vice versa, and (b) outcome expectation has a direct effect on physical activity. Replication within population subgroups and for other health behaviors will determine whether the social cognitive theory needs modification. Future trials should test whether differential construct ordering results in clinically meaningful differences in physical activity behavior change.

Understanding Why Pictorial Cigarette Pack Warnings Increase Quit Attempts

Noel T Brewer, Humberto Parada, Jr., Marissa G Hall, Marcella H Boynton, Seth M Noar, Kurt M Ribisl

Background
Our randomized trial found that pictorial cigarette pack warnings elicited more quit attempts than text-only warnings.
Purpose
In the current study, we sought to identify psychological mechanisms that explain why pictorial cigarette pack warnings change behavior.
Methods
In 2014 and 2015, we recruited 2,149 adult smokers in NC and CA, USA. We randomly assigned smokers to receive on their cigarette packs for 4 weeks either a text-only warning (one of the USA’s current warnings on the side of cigarette packs) or a pictorial warning (one of the USA’s proposed text warnings with pictures on the top half of the front and back of cigarette packs).
Results
Pictorial warnings increased attention to, reactions to, and social interactions about cigarette pack warnings (all p < .05). However, pictorial warnings changed almost no belief or attitude measures. Mediators of the impact of pictorial warnings included increased attention, negative affect, social interactions, thinking about the warning and harms of smoking, and intentions to quit (all p < .05). Analyses also found that pictorial warnings led to greater avoidance of the warnings, which was associated with more quit attempts (p < .05).
Conclusions
Pictorial warnings increased quit attempts by eliciting aversive reactions and by keeping the message vividly in smokers’ minds. Contrary to predictions from several theories of health behavior, the warnings exerted little of their influence through changes in beliefs and attitudes and none of their influence through changes in risk perception. We propose the Tobacco Warnings Model based on these findings.
Clinical Trial information
ClinicalTrials.gov identifier: NCT02247908; https://clinicaltrials.gov/ct2/show/NCT02247908.

Parental Expectation of Side Effects Following Vaccination Is Self-fulfilling: A Prospective Cohort Study

Louise E Smith, John Weinman, Richard Amlôt, Jenny Yiend, G James Rubin

Background
One of the major factors contributing to parental refusal of vaccinations is the perception that vaccines cause side effects. Although symptoms are commonly reported following vaccinations, their causes are not always straightforward. Although some may be directly attributable to the vaccine itself, others may reflect pre-existing or coincidental symptoms that are misattributed to the vaccine.
Purpose
To investigate psychological factors associated with parental report of side effects following vaccination with the child influenza vaccine, and parental intention to re-vaccinate one’s child the following year.
Methods
A prospective cohort study was run in primary care practices in London in the 2016–2017 influenza season (ClinicalTrials.gov number NCT02909855). Two hundred seventy parents from 14 practices completed a questionnaire before their child’s vaccination. Follow-up questionnaires were completed 3 days after vaccination and one month after vaccination. Parental report of side effects and vaccination intention for the subsequent year were measured.
Results
Parental report of side effects was strongly associated with pre-vaccination expectation of side effects. Suggestions received from the media, National Health Service (NHS) vaccination leaflet, and health care workers, as well as uncertainty-related beliefs, perceived sensitivity of the child to medicines, pessimism, and anxiety were also associated with reporting side effects. Side effect report was associated with lower vaccination intention for the following influenza season.
Conclusions
Side effect perception following vaccination is influenced by psychological factors, in particular expectations. Perceiving side effects reduces future vaccination intention. Future public health communications should aim to decrease unrealistic expectations of side effects to increase vaccine uptake.

 

Translational Behavioral Medicine

Content analysis of Twitter chatter about indoor tanning

Molly E Waring, Katie Baker, Anthony Peluso, Christine N May, Sherry L Pagoto

Abstract
Twitter may be useful for learning about indoor tanning behavior and attitudes. The objective of this study was to analyze the content of tweets about indoor tanning to determine the extent to which tweets are posted by people who tan, and to characterize the topics of tweets. We extracted 4,691 unique tweets from Twitter using the terms “tanning bed” or “tanning salon” over 7 days in March 2016. We content analyzed a random selection of 1,000 tweets, double-coding 20% of tweets (κ = 0.74, 81% agreement). Most tweets (71%) were by tanners (n = 699 individuals) and included tweets expressing positive sentiment about tanning (57%), and reports of a negative tanning experience (17%), burning (15%), or sleeping in a tanning bed (9%). Four percent of tweets were by tanning salon employees. Tweets posted by people unlikely to be tanners (15%) included tweets mocking tanners (71%) and health warnings (29%). The term “tanning bed” had higher precision for identifying individuals who engage in indoor tanning than “tanning salon”; 77% versus 45% of tweets captured by these search terms were by individuals who engaged in indoor tanning, respectively. Extrapolating to the full data set of 4,691 tweets, findings suggest that an average of 468 individuals who engage in indoor tanning can be identified by their tweets per day. The majority of tweets were from tanners and included reports of especially risky habits (e.g., burning, falling asleep). Twitter provides opportunity to identify indoor tanners and examine conversations about indoor tanning.

Are physical activity interventions for healthy inactive adults effective in promoting behavior change and maintenance, and which behavior change techniques are effective? A systematic review and meta-analysis

Neil Howlett, Daksha Trivedi, Nicholas A Troop, Angel Marie Chater

Abstract
Physical inactivity and sedentary behavior relate to poor health outcomes independently. Healthy inactive adults are a key target population for prevention. This systematic review and meta-analysis aimed to evaluate the effectiveness of physical activity and/or sedentary behavior interventions, measured postintervention (behavior change) and at follow-up (behavior change maintenance), to identify behavior change techniques (BCT) within, and report on fidelity. Included studies were randomized controlled trials, targeting healthy inactive adults, aiming to change physical activity and/or sedentary behavior, with a minimum postintervention follow-up of 6 months, using 16 databases from 1990. Two reviewers independently coded risk of bias, the “Template for Intervention Description and Replication” (TIDieR) checklist, and BCTs. Twenty-six studies were included; 16 pooled for meta-analysis. Physical activity interventions were effective at changing behavior (d = 0.32, 95% confidence intervals = 0.16–0.48, n = 2,346) and maintaining behavior change after 6 months or more (d = 0.21, 95% confidence intervals = 0.12–0.30, n = 2,190). Sedentary behavior interventions (n = 2) were not effective. At postintervention, physical activity intervention effectiveness was associated with the BCTs “Biofeedback,” “Demonstration of the behavior,” “Behavior practice/rehearsal,” and “Graded tasks.” At follow-up, effectiveness was associated with using “Action planning,” “Instruction on how to perform the behavior,” “Prompts/cues,” “Behavior practice/rehearsal,” “Graded tasks,” and “Self-reward.” Fidelity was only documented in one study. Good evidence was found for behavior change maintenance effects in healthy inactive adults, and underlying BCTs. This review provides translational evidence to improve research, intervention design, and service delivery in physical activity interventions, while highlighting the lack of fidelity measurement.

OnTrack: development and feasibility of a smartphone app designed to predict and prevent dietary lapses

Evan M Forman, Stephanie P Goldstein, Fengqing Zhang, Brittney C Evans, Stephanie M Manasse, Meghan L Butryn, Adrienne S Juarascio, Pramod Abichandani, Gerald J Martin, Gary D Foster

Abstract
Given that the overarching goal of weight loss programs is to remain adherent to a dietary prescription, specific moments of nonadherence known as “dietary lapses” can threaten weight control via the excess energy intake they represent and by provoking future lapses. Just-in-time adaptive interventions could be particularly useful in preventing dietary lapses because they use real-time data to generate interventions that are tailored and delivered at a moment computed to be of high risk for a lapse. To this end, we developed a smartphone application (app) called OnTrack that utilizes machine learning to predict dietary lapses and deliver a targeted intervention designed to prevent the lapse from occurring. This study evaluated the feasibility, acceptability, and preliminary effectiveness of OnTrack among weight loss program participants. An open trial was conducted to investigate subjective satisfaction, objective usage, algorithm performance, and changes in lapse frequency and weight loss among individuals (N = 43; 86% female; body mass index = 35.6 kg/m2) attempting to follow a structured online weight management plan for 8 weeks. Participants were adherent with app prompts to submit data, engaged with interventions, and reported high levels of satisfaction. Over the course of the study, participants averaged a 3.13% weight loss and experienced a reduction in unplanned lapses. OnTrack, the first Just-in-time adaptive intervention for dietary lapses was shown to be feasible and acceptable, and OnTrack users experienced weight loss and lapse reduction over the study period. These data provide the basis for further development and evaluation.