Search

Background: Tobacco use continues to be a leading preventable cause of death and disease in the United States, accounting for >480,000 deaths each year. Although treatments for tobacco use are effective for many, there is substantial variability in outcomes, and these approaches are not effective for all individuals seeking to quit smoking cigarettes. New, effective therapeutic approaches are needed to meet the preferences of people who want to stop smoking. Guided imagery (GI) is a mind-body technique that involves the guided visualization of specific mental images, which is enhanced with other sensory modalities and emotions. Preliminary evidence provides initial support for the use of GI as a treatment for cigarette smoking. Meta-analyses have shown that standard treatment for cigarette smoking delivered over the telephone via quitlines is effective. A telephone-based intervention that uses GI might provide another effective treatment option and increase the reach and effectiveness of quitlines., Objective: This study aims to test the efficacy of Be Smoke Free, a telephone-delivered GI treatment for smoking cessation., Methods: This multisite randomized clinical trial (RCT) will compare a novel telephone-delivered GI tobacco cessation treatment with a standard evidence-based behavioral treatment. The study will be conducted over 5 years. In phase 1, we refined protocols and procedures for the New York State and West Virginia sites for use in the RCT. During phase 2, we will conduct an RCT with 1200 participants: 600 (50%) recruited via quitlines and 600 (50%) recruited via population-based methods. Participants will be randomly assigned to either the GI condition or the behavioral condition; both treatments will be delivered by trained study coaches located at the University of Arizona. Assessments will be conducted at baseline and 3 and 6 months after enrollment by University of Arizona research staff. The primary outcome will be self-reported 30-day point prevalence abstinence 6 months after enrollment. Secondary outcomes include biochemically verified 7-day point prevalence abstinence 6 months after enrollment., Results: Recruitment in West Virginia and New York began in October 2022. As of March 31, 2023, a total of 242 participants had been enrolled. Follow-up assessments began in November 2022. As of March 31, 2023, of the 118 eligible participants, 97 (82.2%) had completed the 3-month assessment, and 93% (26/28) of eligible participants had completed the 6-month assessment. Biochemical verification and qualitative interviews began in April 2023. Recruitment will continue through 2025 and follow-up assessments through 2026. Primary results are expected to be published in 2027., Conclusions: The Be Smoke Free study is a first-of-its-kind RCT that incorporates GI into telephone-based tobacco cessation treatment. If successful, Be Smoke Free will have substantial benefits for the long-term health of people who use tobacco across the United States., Trial Registration: ClinicalTrials.gov NCT05277831; https://clinicaltrials.gov/ct2/show/NCT05277831., International Registered Report Identifier (irrid): PRR1-10.2196/48898., (©Judith S Gordon, Julie S Armin, Peter Giacobbi Jr, Chiu-Hsieh Hsu, Kari Marano, Christine E Sheffer. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 23.06.2023.)

Purpose and Objectives: This article describes the implementation and evaluation of a chronic disease mini-grant initiative, coordinated by a state health department in collaboration with multiple stakeholders. Braided funding from federal and state sources was used to build and implement the initiative., Intervention Approach: Mini-grants, facilitated by five different facilitating organizations, were funded to promote implementation of policy, systems, and environmental (PSE) changes at the local level. Grant recipients represented a variety of sectors, including education, government, and nonprofit organizations., Evaluation Methods: Primary (surveys) and secondary (final reports) data documented achievement of PSE changes., Results: A total of $196,369 was dispersed to 65 organizations; 126 PSE changes in the areas of physical activity, nutrition, and tobacco were reported. Challenges in implementing and evaluating mini-grants were identified, including the heterogeneity of the sectors/settings involved and associated variability of proposed activities, time lines, measurement, and evaluation activities. COVID-19 (coronavirus disease 2019) also disrupted the plans for many projects., Implications for Public Health: The success of this initiative can be attributed to four main elements: (1) the use of intermediary organizations to facilitate the mini-grants; (2) a participatory evaluation process, combined with early and ongoing communication among all stakeholders; (3) a braided funding strategy; and (4) a multisector approach that engaged both traditional and nontraditional public health organizations. The processes and outcomes, including challenges, can inform other state health departments' efforts in braiding funding and engaging intermediary organizations to expand the reach of PSE changes at the local level.

Introduction: Pregnancy presents health challenges related to well-being, physical activity, dietary regulation, and body image. There is evidence to support the use of guided imagery to address these concerns during pregnancy. The purpose of this study was to analyze the use and short-term outcomes of a multiple-behavior guided imagery intervention delivered through a mobile health (mHealth) application for pregnant women., Methods: A single-arm, 5-week feasibility trial was conducted, and participants were instructed to listen to an audio file every day for 35 days on an mHealth application. Measurements included ongoing assessments of the participants' use of the guided imagery audio files and pre- and post-test measures of depression, anxiety, stress, physical activity, food cravings, and body image. Postintervention qualitative interviews were conducted to assess whether participants would continue to use guided imagery., Results: Fifty-eight participants (mean age, 28.5 years) were enrolled from January to June of 2018. Cloud analytics data showed an average of 4.96 audio downloads per week with the Sleep and Relaxation file being the most widely used (mean weekly usage, 5.67) and reported favorite during follow-up interviews. Paired-sample t tests from pre- to post-test showed significant reductions in depression, anxiety, and stress, increased physical activity, and sedentary behavior along with some changes in body image., Discussion: Future scalable guided imagery interventions are justified to test for efficacy. Guided imagery may also be delivered in person by health care providers or by using widely available technologies., (© 2021 by the American College of Nurse-Midwives.)

Background: Obesity is a leading public health concern in the United States. One promising method for enhancing patient activation to engage in health promoting behaviors is with technology in the primary care setting. The primary purpose of this study was to test the usability of a patient activation tool, called mWRAPPED, for weight management during primary care wait times., Methods: A two-cycle approach to usability testing was followed by a pragmatic usability study in the primary care setting. The application was subsequently revised based on patient feedback. A convenience sample of patients completed usability testing in the clinical setting. Patients completed the System Usability Scale throughout all testing phases., Results: First cycle patients provided an average score of 76.5 on the System Usability Scale. After revising mWRAPPED, the average patient System Usability Scale score increased to 80.5. mWRAPPED received an average System Usability Scale score of 77.9 when tested in the clinical setting. mWRAPPED demonstrated initial usability for primary care patients in an academic outpatient family medicine clinical setting., Conclusions: Results of the current study will help to support the use of this application in future studies as a novel approach to delivering guideline-based weight management information to patients., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/mhealth-20-119). The authors have no conflicts of interest to declare., (2021 mHealth. All rights reserved.)

Background: Guided imagery (GI) is an evidence-based method that uses the imagination to practice and achieve a desired outcome. Little research has focused on how GI can be delivered to smokers using remote or virtual methods, such as a telephone-based intervention. Telephone-based services for tobacco cessation (quitlines) have emerged as standard of care for tobacco cessation. However, quitlines reach only a small fraction of smokers, and men and racial/ethnic minorities are less likely to use quitlines than majority women. GI has the potential to attract under-served minority groups as well as smokers who are looking for an alternative approach to cessation. The present study is designed to test the feasibility and potential impact of a GI tobacco cessation intervention delivered by telephone. This study compares the GI intervention with a standard behavioral (SB) intervention., Methods: Participants (N = 100) are randomized to either the GI (intervention) or SB (control) condition. Each condition features a 6-week intervention in which participants work with coaches to quit tobacco. Primary outcomes are feasibility related (recruitment, retention, adherence), and secondary outcomes include cessation at 6 months post-intervention (7-day and 30-day abstinence)., Discussion: A GI intervention delivered via quitline would allow for scalability and dissemination, potentially reaching a more representative group of smokers. Results from this study will determine the feasibility of delivering the GI intervention, and describe the reach of the intervention to under-represented tobacco users. If successful, our study results will guide the design and conduct of a future efficacy trial., Competing Interests: 3.5None.We received funding from the National Center for Complementary and Integrative Health to conduct this study. We have no other interests to declare.

Introduction The immediate benefits of breastfeeding are well-established but the long-term health benefits are less well-known. West Virginia (WV) has a higher prevalence of cardiovascular disease (CVD) and lower breastfeeding rates compared to national averages. There is a paucity of research examining the relationship between breastfeeding and subsequent childhood CVD risk factors, an issue of particular relevance in WV. Methods This study used longitudinally linked data from three cross-sectional datasets in WV (N = 11,980). The information on breastfeeding was obtained retrospectively via parental recall when the child was in the fifth grade. The outcome variables included blood pressure measures [systolic blood pressure (SBP), diastolic blood pressure (DBP)] and lipid profile [total cholesterol (TC), low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), non-HDL, and triglycerides (TG)]. Multiple regression analyses were performed, adjusting for childhood body mass index (BMI) and additional covariates. Results Only 43% of mothers self-reported ever breastfeeding. The unadjusted analysis showed that children who were ever vs. never breastfed had significantly lower SBP (b = - 1.39 mmHg; 95% CI - 1.97, - 0.81), DBP (b = - 0.79 mmHg; 95% CI - 1.26, - 0.33), log-TG (b = - 0.08; 95% CI - 0.1, - 0.05), and higher HDL (b = 0.95 mg/dL; 95% CI 0.33, 1.56). After adjustment for the child's BMI, socio-demographic and lifestyle factors, log-TG remained significantly associated with breastfeeding (b = - 0.04; 95% CI - 0.06, - 0.01; p = 0.01). Conclusion The observed protective effect of any breastfeeding on childhood TG level was small but significant. This finding provides some support for a protective effect of breastfeeding on later CVD risk.

Objective: To compare mobile health (mHealth) usage by residents of West Virginia with national estimates., Methods: Pew Research Center data from its Internet and American Life Project were accessed for secondary data analysis. These data, available to the public, are a probability sample of Internet use in the United States, differences in use based on selected variables (eg, education, household income), and how usage affects the lives of Americans. Using SAS software, diagnostics were performed on the data, revealing that the variables of interest were prepared and represented without any need for information. Data were used as is, with categorical and continuous characteristics and stipulations being provided in accompanying documents from the Pew Research Center., Results: The national sample consisted of 509 men and 557 women with an average age of 51.02 years (standard deviation 17.04). The 30 West Virginia residents included 19 women and 11 men (mean for age 48.10, standard deviation 15.30). When controlling for socioeconomic and demographics factors, the odds of a West Virginia resident using an mHealth device were 82% less than the rest of the country, a statistically significant association. Women in West Virginia were 52% more likely to access mHealth information than men, and an increase in age corresponded with increased mHealth usage., Conclusions: The lack of mHealth use by residents in West Virginia represents an opportunity for clinicians and scientists. The high rates of preventable diseases in the region could be more effectively managed with greater use of these technologies.

The purpose of this randomized wait-list controlled trial was to test the feasibility and preliminary efficacy of a guided imagery based multi-behavior intervention intended to address psychological stress, food cravings, and physical activity. Personalized guided imagery scripts were created and participants were instructed to practice guided imagery every day for 35 consecutive days. Of 48 women who enrolled, we report comparisons between 16 randomized to treatment with 19 who were wait-listed (overall M age  = 45.50; M bodymassindex  = 31.43). Study completers reported 89% compliance with practicing guided imagery during the intervention. A significant time-by-group interaction was observed with reductions in food cravings and increases in physical activity compared with wait-list controls. Telephone-based multi-behavior interventions that utilize guided imagery to address food cravings and exercise behavior appear to be acceptable for overweight and obese women. Future phone-based guided imagery research testing this skill to address multiple health behaviors is justified.

Background: Opioid and cocaine antenatal substance use can result in significant obstetric and pediatric health implications. Accurate detection of in utero-exposed neonates can improve patient care and health outcomes. Therefore, the effectiveness of mother-infant biological and diagnostic indicators collected at labor and delivery to provide accurate detection of in utero opiate and cocaine exposure was assessed., Methods: A retrospective medical chart review included 335 mother-infant dyads exposed to antenatal substances who were delivered between January 2009 and March 2014. Mother-infant dyads were a subset of a larger retrospective cohort of 560 substance-using mothers, who had a valid meconium drug screen (MDS) and anesthesia before delivery. Alternative biological and diagnostic indicators of maternal urine drug screens (UDS), maternal substance use International Classification of Disease, Ninth Revision, Clinical Modification (ICD-9-CM) codes, and neonatal exposure diagnostic ICD-9-CM codes were compared against MDS. Data were analyzed using classification accuracy measures., Results: Compared with MDS, maternal UDS had the highest sensitivity [0.52, 95% confidence interval (CI), 0.39-0.65] and specificity (0.88, 95% CI, 0.79-0.97) to detect intrauterine opiate exposure. Maternal substance use diagnosis had the highest sensitivity (0.39, 95% CI, 0.16-0.61) and maternal UDS had the highest specificity (1.00, 95% CI, 0.99-1.00) to detect intrauterine cocaine exposure. Cocaine exposure had significantly higher accuracy scores across detection methods compared with opiate exposure., Conclusions: Alternative indicators collected at delivery were ineffective at identifying in utero substance exposure, especially neonatal-exposed ICD-9-CM codes. Low sensitivity scores indicate that many exposed neonates could be misdiagnosed or left untreated. Accurate antenatal exposure identification at delivery is an important form of tertiary assessment that warrants the development of improved screening methodology and standardization of hospital biological drug testing.

Background: Successful recruitment of participants to mobile health (mHealth) studies presents unique challenges over in-person studies. It is important to identify recruitment strategies that maximize the limited recruitment resources available to researchers., Objective: The objective of this study was to describe a case study of a unique recruitment process used in a recent mHealth software app designed to increase smoking cessation among weight-concerned women smokers. The See Me Smoke-Free app was deployed to the Google Play Store (Alphabet, Inc., Google, LLC), where potential participants could download the app and enroll in the study. Users were invited in-app to participate in the study, with no in-person contact. The recruitment activities relied primarily on earned (free) and social media., Methods: To determine the relationship between recruitment activities and participant enrollment, the researchers explored trends in earned and social media activity in relation to app installations, examined social media messaging in relation to reach or impressions, and described app users' self-reported referral source. The researchers collected and descriptively analyzed data regarding recruitment activities, social media audience, and app use during the 18-week recruitment period (March 30, 2015-July 31, 2015). Data were collected and aggregated from internal staff activity tracking documents and from Web-based data analytics software such as SumAll, Facebook Insights (Facebook, Inc.), and Google Analytics (Alphabet, Inc., Google, LLC)., Results: Media coverage was documented across 75 publications and radio or television broadcasts, 35 of which were local, 39 national, and 1 international. The research team made 30 Facebook posts and 49 tweets, yielding 1821 reaches and 6336 impressions, respectively. From March 30, 2015 to July 31, 2015, 289 unique users downloaded the app, and 151 participants enrolled in the study., Conclusions: Research identifying effective online recruitment methods for mHealth studies remains minimal, and findings are inconsistent. We demonstrated how earned media can be leveraged to recruit women to an mHealth smoking cessation trial at low cost. Using earned media and leveraging social media allowed us to enroll 3 times the number of participants that we anticipated enrolling. The cost of earned media resides in the staff time required to manage it, particularly the regular interaction with social media. We recommend communication and cooperation with university public affairs and social media offices, as well as affiliate programs in journalism and communications, so that earned media can be used as a recruitment strategy for mHealth behavior change interventions. However, press releases are not always picked up by the media and should not be considered as a stand-alone method of recruitment. Careful consideration of an intervention's broad appeal and how that translates into potential media interest is needed when including earned media as part of a comprehensive recruitment plan for mHealth research., (©Kristopher J Abbate, Melanie D Hingle, Julie Armin, Peter Giacobbi Jr, Judith S Gordon. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 03.11.2017.)

Background: Overweight and obesity is a major public health concern that includes associations with the development of cardiovascular disease (CVD) risk factors during childhood and adolescence as well as premature mortality in adults. Despite the high prevalence of childhood and adolescent obesity as well as adult CVD, individual studies as well as previous systematic reviews examining the relationship between childhood obesity and adult CVD have yielded conflicting results. The purpose of this study was to use the aggregate data meta-analytic approach to address this gap., Methods: Studies were included if they met the following criteria: (1) longitudinal and cohort studies (including case-cohort), (2) childhood exposure and adult outcomes collected on the same individual over time, (3) childhood obesity, as defined by the original study authors, (4) English-language articles, (5) studies published up to June, 2015, (6) one or more of the following CVD risk factors [systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), non-high-density lipoprotein cholesterol (non-HDL), and triglycerides (TG)], (7) outcome(s) not self-reported, and (8) exposure measurements (child's adiposity) assessed by health professionals, trained investigators, or self-reported. Studies were retrieved by searching three electronic databases as well as citation tracking. Fisher's r to z score was calculated for each study for each outcome. Pooled effect sizes were calculated using random-effects models while risk of bias was assessed using the STROBE instrument. In order to try and identify sources of heterogeneity, random-effects meta-regression was also performed., Results: Of the 4840 citations reviewed, a total of 23 studies were included in the systematic review and 21 in the meta-analysis. The findings suggested that childhood obesity is significantly and positively associated with adult SBP (Zr = 0.11; 95% CI: 0.07, 0.14), DBP (Zr = 0.11; 95% CI: 0.07, 0.14), and TG (Zr =0.08; 95% CI: 0.03, 0.13), and significantly and inversely associated with adult HDL (Zr = -0.06; 95% CI: -0.10, -0.02). For those studies that adjusted for adult body mass index (BMI), associations were reversed, suggesting that adult BMI may be a potential mediator. Nine studies had more than 33% of items that placed them at an increased risk for bias., Conclusions: The results of this study suggest that childhood obesity may be a risk factor for selected adult CVD risk factors. However, a need exists for additional, higher-quality studies that include, but are not limited to, both unadjusted and adjusted measures such as BMI before any definitive conclusions can be reached., Systematic Review and Meta-Analysis: PROSPERO 2015: CRD42015019763 .

Women face particular challenges when quitting smoking, especially those with weight concerns. A multi-behavioral smoking cessation intervention addressing these concerns and incorporating guided imagery may assist women to engage in healthy lifestyle behaviors. An mHealth app can easily disseminate such an intervention. The goals of this pilot study were to develop and test the feasibility and potential of the See Me Smoke-Free ™ mHealth app to address smoking, diet, and physical activity among women smokers. We used pragmatic, direct-to-consumer methods to develop and test program content, functionality, and the user interface and conduct a pre-/post-test, 90-day pilot study. We enrolled 151 participants. Attrition was 52%, leaving 73 participants. At 90 days, 47% of participants reported 7-day abstinence and significant increases in physical activity and fruit consumption. Recruitment methods worked well, but similar to other mHealth studies, we experienced high attrition. This study suggests that a guided imagery mHealth app has the potential to address multiple behaviors. Future research should consider different methods to improve retention and assess efficacy.

This article describes the development of the See Me Smoke-Free™ (SMSF) mobile health application, which uses guided imagery to support women in smoking cessation, eating a healthy diet, and increasing physical activity. Focus group discussions, with member checks, were conducted to refine the intervention content and app user interface. Data related to the context of app deployment were collected via user testing sessions and internal quality control testing, which identified and addressed functionality issues, content problems, and bugs. Interactive app features include playback of guided imagery audio files, notification pop-ups, award-sharing on social media, a tracking calendar, content resources, and direct call to the local tobacco quitline. Focus groups helped design the user interface and identified several themes for incorporation into app content, including positivity, the rewards of smoking cessation, and the integrated benefits of maintaining a healthy lifestyle. User testing improved app functionality and usability on many Android phone models. Changes to the app content and function were made iteratively by the development team as a result of focus group and user testing. Despite extensive internal and user testing, unanticipated data collection and reporting issues emerged during deployment due not only to the variety of Android software and hardware but also to individual phone settings and use.

Background: This paper presents the protocol for an ongoing research study to develop and test the feasibility of a multi-behavioral mHealth app. Approximately 27 million women smoke in the US, and more than 180,000 women die of illnesses linked to smoking annually. Women report greater difficulties quitting smoking. Concerns about weight gain, negative body image, and low self-efficacy may be key factors affecting smoking cessation among women. Recent studies suggest that a multi-behavioral approach, including diet and physical activity, may be more effective at helping women quit. Guided imagery has been successfully used to address body image concerns and self-efficacy in our 3 target behaviors-exercise, diet and smoking cessation. However, it has not been used simultaneously for smoking, diet, and exercise behavior in a single intervention. While imagery is an effective therapeutic tool for behavior change, the mode of delivery has generally been in person, which limits reach. mHealth apps delivered via smart phones offer a unique channel through which to distribute imagery-based interventions., Objective: The objective of our study is to evaluate the feasibility of an mHealth app for women designed to simultaneously address smoking, diet, and physical activity behaviors. The objectives are supported by three specific aims: (1) develop guided imagery content, user interface, and resources to reduce weight concern, and increase body image and self-efficacy for behavior change among women smokers, (2) program a prototype of the app that contains all the necessary elements of text, graphics, multimedia and interactive features, and (3) evaluate the feasibility, acceptability, and preliminary efficacy of the app with women smokers., Methods: We created the program content and designed the prototype application for use on the Android platform in collaboration with 9 participants in multiple focus groups and in-depth interviews. We programmed and tested the application's usability with 6 participants in preparation for an open, pre- and posttest trial. Currently, we are testing the feasibility and acceptability of the application, evaluating the relationship of program use to tobacco cessation, dietary behaviors, and physical activity, and assessing consumer satisfaction with approximately 70 women smokers with Android-based smart phones., Results: The study was started January 1, 2014. The app was launched and feasibility testing began in April 1, 2015. Participants were enrolled from April 1-June 30, 2015. During that time, the app was downloaded over 350 times using no paid advertising. Participants were required to use the app "most days" for 30 days or they would be dropped from the study. We enrolled 151 participants. Of those, 78 were dropped or withdrew from the study, leaving 73 participants. We have completed the 30-day assessment, with a 92% response rate. The 90-day assessment is ongoing. During the final phase of the study, we will be conducting data analyses and disseminating study findings via presentations and publications. Feasibility will be demonstrated by successful participant retention and a high level of app use. We will examine individual metrics (eg, duration of use, number of screens viewed, change in usage patterns over time) and engagement with interactive activities (eg, activity tracking)., Conclusions: We will aggregate these data into composite exposure scores that combine number of visits and overall duration to calculate correlations between outcome and measures of program exposure and engagement. Finally, we will compare app use between participants and non-participants using Google Analytics.

Objective: To evaluate the impact of power assist wheels on the distance traveled by manual wheelchair users and analyze potential cofactors in the magnitude of response and to test the hypothesis that wheelers would travel significantly further with power assist wheels., Design: A 16-wk A (Preintervention)-B (Intervention)-A (Postintervention) repeated measures design. Seven women and 13 men (age, 43 +/- 15 yrs) full-time wheelers participated. During the pre- and postintervention phases (4 wks each), participants used their own unaltered manual wheelchairs. During the 8-wk intervention phase, the manual wheels were replaced with power assist wheels. Daily distance was measured with bicycle-style odometers. A composite score of laboratory wheelchair tasks was used to classify wheelchair performance. Mixed model repeated measures analysis of variance analyzed changes across phases of the trial. A post hoc analysis tabulated the amount of days wheelers exceeded their individual daily averages in each phase by two SDs., Results: Wheelers traveled significantly greater distances during the intervention phase compared with pre- or postintervention phases regardless of baseline wheelchair performance. Wheelers who demonstrated higher baseline wheelchair performance traveled lesser average distances in the first 2 wks after receiving power assist wheels than in the subsequent 6 wks. Wheelers exceeded their individual daily averages per phase on a significantly greater number of days during the intervention phase., Conclusions: Power assist wheels enabled wheelers to travel farther and to travel beyond their usual distances on more days. Further studies may be strengthened by taking into account the 2-wk "adjustment phase" for power assist wheels.