Association of food insecurity with overall and disease-specific mortality among cancer survivors in the US.

PURPOSE: To investigate the association of food insecurity with overall and disease-specific mortality among US cancer survivors. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES 1999-2018) were used to examine the impact of food insecurity on mortality risks among cancer survivors in the US. Study participants aged ≥ 20 years who had a history of cancer and completed the Adult Food Security Survey Module were included. Mortality data [all-cause, cancer, and cardiovascular (CVD) specific] through December 31, 2019 were obtained through linkage to the National Death Index. Using multivariable Cox proportional hazard regression, hazard ratios of mortality based on food security status were estimated. RESULTS: Among 5032 cancer survivors (mean age 62.5 years; 58.0% women; 86.2% non-Hispanic White), 596 (8.8%) reported food insecurity. Overall, 1913 deaths occurred (609 cancer deaths and 420 CVD deaths) during the median follow-up of 6.8 years. After adjusting for age, food insecurity was associated with a higher risk of overall (HR = 1.93; 95% CI = 1.56-2.39), CVD-specific (HR = 1.95; 95% CI = 1.24-3.05), and cancer-specific (HR = 1.70; 95% CI = 1.20-2.42) mortality (P < 0.001). However, after adjusting for socioeconomic characteristics and health-related factors (physical activity, diet quality measured by healthy eating index), the association between food insecurity and overall mortality was no longer statistically significant. CONCLUSIONS: Food insecurity was associated with a greater risk of overall mortality among cancer survivors. Further studies are needed to confirm these findings and evaluate whether the observed association represents a causal phenomenon and, if so, whether the effect is modifiable with food assistance programs.

Reducing intervention- and research-induced inequalities to tackle the digital divide in health promotion.

Social inequalities are an important contributor to the global burden of disease within and between countries. Using digital technology in health promotion and healthcare is seen by some as a potential lever to reduce these inequalities; however, research suggests that digital technology risks re-enacting or evening widening disparities. Most research on this digital health divide focuses on a small number of social inequality indicators and stems from Western, educated, industrialized, rich, and democratic (WEIRD) countries. There is a need for systematic, international, and interdisciplinary contextualized research on the impact of social inequality indicators in digital health as well as the underlying mechanisms of this digital divide across the globe to reduce health disparities. In June 2023, eighteen multi-disciplinary researchers representing thirteen countries from six continents came together to discuss current issues in the field of digital health promotion and healthcare contributing to the digital divide. Ways that current practices in research contribute to the digital health divide were explored, including intervention development, testing, and implementation. Based on the dialogue, we provide suggestions for overcoming barriers and improving practices across disciplines, countries, and sectors. The research community must actively advocate for system-level changes regarding policy and research to reduce the digital divide and so improve digital health for all.

Differential impact of telehealth extended-care programs for weight-loss maintenance in African American versus white adults.

Extended-care interventions have been demonstrated to improve maintenance of weight loss after the end of initial obesity treatment; however, it is unclear whether these programs are similarly effective for African American versus White participants. The current study examined differences in effectiveness of individual versus group telephone-based extended-care on weight regain, compared to educational control, in 410 African American (n = 82) and White (n = 328) adults with obesity (mean ± SD age = 55.6 ± 10.3 years, BMI = 36.4 ± 3.7 kg/m2). After controlling for initial weight loss, multivariate linear models demonstrated a significant interaction between treatment condition and race, p = .048. Randomization to the individual telephone condition produced the least amount of weight regain in White participants, while the group condition produced the least amount of weight regain in African American participants. Future research should investigate the role of social support in regain for African American versus White participants and examine whether tailoring delivery format by race may improve long-term outcomes.

Bidirectional association between stress and physical activity in adults with overweight and obesity.

Research has suggested that there may be a bidirectional association between stress and physical activity; however, much of this work has been conducted in athletes or adults with normal weight. The current study investigated the bidirectional association between stress and physical activity in adults with overweight and obesity. For a full year, during and after a 12-week, Internet-based weight loss program, 74 participants (BMI = 31.2 kg/m2) were asked to report stress and minutes of physical activity each week. An increase in stress was associated with less physical activity during the same week and predicted fewer minutes of physical activity the following week. Finally, each 1 h increase in physical activity on a given week was associated with a small decrease in stress ratings the following week. Results confirmed the bidirectional association between stress and physical activity in a sample of adults with overweight/obesity, and supported results highlighting stress as a barrier to physical activity. Future studies should investigate whether adding intervention components to decrease stress or to reinforce physical activity can improve physical activity engagement in this population.

The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study.

BACKGROUND: Technology-mediated obesity treatments are commonly affected by poor long-term adherence. Supportive Accountability Theory suggests that the provision of social support and oversight toward goals may help to maintain adherence in technology-mediated treatments. However, no tool exists to measure the construct of supportive accountability. OBJECTIVE: This study aimed to develop and psychometrically validate a supportive accountability measure (SAM) by examining its performance in technology-mediated obesity treatment. METHODS: Secondary data analyses were conducted in 2 obesity treatment studies to validate the SAM (20 items). Study 1 examined reliability, criterion validity, and construct validity using an exploratory factor analysis in individuals seeking obesity treatment. Study 2 examined the construct validity of SAM in technology-mediated interventions involving different self-monitoring tools and varying amounts of phone-based interventionist support. Participants received traditional self-monitoring tools (standard, in-home self-monitoring scale [SC group]), newer, technology-based self-monitoring tools (TECH group), or these newer technology tools plus additional phone-based support (TECH+PHONE group). Given that the TECH+PHONE group involves more interventionist support, we hypothesized that this group would have greater supportive accountability than the other 2 arms. RESULTS: In Study 1 (n=353), the SAM showed strong reliability (Cronbach α=.92). A factor analysis revealed a 3-factor solution (representing Support for Healthy Eating Habits, Support for Exercise Habits, and Perceptions of Accountability) that explained 69% of the variance. Convergent validity was established using items from the motivation for weight loss scale, specifically the social regulation subscale (r=0.33; P<.001) and social pressure for weight loss subscale (r=0.23; P<.001). In Study 2 (n=80), the TECH+PHONE group reported significantly higher SAM scores at 6 months compared with the SC and TECH groups (r2=0.45; P<.001). Higher SAM scores were associated with higher adherence to weight management behaviors, including higher scores on subscales representing healthy dietary choices, the use of self-monitoring strategies, and positive psychological coping with weight management challenges. The association between total SAM scores and percent weight change was in the expected direction but not statistically significant (r=-0.26; P=.06). CONCLUSIONS: The SAM has strong reliability and validity across the 2 studies. Future studies may consider using the SAM in technology-mediated weight loss treatment to better understand whether support and accountability are adequately represented and how supportive accountability impacts treatment adherence and outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT01999244; https://clinicaltrials.gov/ct2/show/NCT01999244.

"Memory bias" for recall of experiences during initial weight loss is affected by subsequent weight loss outcome.

Research has suggested that memories of mood, emotions, and behaviors are not purely unbiased retrieval, but more similar to reconstructions based on current opinions, positive or negative experiences associated with the memory, and how a person believes they would have felt, thought, or acted. We investigated this memory bias in 66 adult participants with overweight/obesity who rated their mood, emotions, and behaviors during a 12-week, Internet-based behavioral weight loss program and later recalled these ratings at Month 3 (immediate post-test) and Month 12 (follow-up). At Month 3, participants recalled the intervention more positively than reported previously, p = .010, but reported remembering the intervention more negatively at the Month 12 follow-up, p = .004. Memory bias was associated with initial weight loss and regain, ps < .05, such that participants who lost more weight at Month 3 remembered their mood, emotions, and behaviors during intervention more positively, and those who regained more weight at Month 12, more negatively. Future research should investigate whether this bias is associated with willingness to re-engage with intervention.

Technology-based interventions for weight management: current randomized controlled trial evidence and future directions.

Obesity is a prevalent health care issue associated with disability, premature morality, and high costs. Behavioral weight management interventions lead to clinically significant weight losses in overweight and obese individuals; however, many individuals are not able to participate in these face-to-face treatments due to limited access, cost, and/or time constraints. Technological advances such as widespread access to the Internet, increased use of smartphones, and newer behavioral self-monitoring tools have resulted in the development of a variety of eHealth weight management programs. In the present paper, a summary of the most current literature is provided along with potential solutions to methodological challenges (e.g., high attrition, minimal participant racial/ethnic diversity, heterogeneity of technology delivery modes). Dissemination and policy implications will be highlighted as future directions for the field of eHealth weight management.

Smoking Through a Topography Device Diminishes Some of the Acute Rewarding Effects of Smoking.

BACKGROUND: Smoking topography (ST) devices are an important methodological tool for quantifying puffing behavior (eg, puff volume, puff velocity) as well as identifying puffing differences across individuals and situations. Available ST devices are designed such that the smoker's mouth and hands have direct contact with the device rather than the cigarette itself. Given the importance of the sensorimotor aspects of cigarette smoking in smoking reward, it is possible that ST devices may interfere with the acute rewarding effects of smoking. Despite the methodological importance of this issue, few studies have directly compared subjective reactions to smoking through a topography device to naturalistic smoking. METHODS: Smokers (N = 58; 38% female) smoked their preferred brand of cigarettes one time through a portable topography device and one time naturalistically, in counterbalanced order across two laboratory sessions. Smoking behavior (eg, number of puffs) and subjective effects (eg, urge reduction, affect, smoking satisfaction) were assessed. RESULTS: Negative affect reduction was greater in the natural smoking condition relative to the topography condition, but differences were not significant on measures of urge, withdrawal, or positive affect. Self-reported smoking satisfaction, enjoyment of respiratory tract sensations, psychological reward, craving reduction, and other rewarding effects of smoking were also significantly greater in the naturalistic smoking condition. CONCLUSIONS: The effects of using a ST device on the smoking experience should be considered when it is used in research as it may diminish some of the rewarding effects of smoking. IMPLICATIONS: When considering the inclusion of a smoking topography device in one's research, it is important to know if use of that device will alter the smoker's experience. This study assessed affective and subjective reactions to smoking through a topography device compared to naturalistic smoking. We found that smoking satisfaction, psychological reward, enjoyment of respiratory tract sensations and other rewarding effects were all diminished when smoking through the topography device. The effects of using a smoking topography device on the smoking experience should be considered when it is used in future research.

Successful weight loss maintenance associated with morning chronotype and better sleep quality.

It is not known whether individuals successful at long term weight loss maintenance differ in chronotype (i.e., being a "morning" or "evening" person) or sleep habits compared to those who are overweight and obese. We compared Morningness-Eveningness Questionnaire (MEQ) and Pittsburgh Sleep Quality Index scores of 690 National Weight Control Registry (NWCR) members (73 % female, 93 % white, age = 51.7 ± 12.5, BMI = 26.4 ± 5.1) to 75 enrollees in two behavioral weight loss interventions (INT; 77 % female, 88 % white, age = 55.7 ± 10.4, BMI = 36.2 ± 4.7). Controlling for age, MEQ scores were higher in NWCR than INT, p = .004, such that more NWCR than INT were morning-types and fewer were evening types, p = .014. Further, NWCR participants reported better sleep quality, longer sleep duration, and shorter latency to sleep onset compared to INT, ps < .05, and fewer NWCR participants reported <6 or <7 h of sleep, ps < .01. Future studies should examine if these factors change as a result of weight loss or are predictors of weight outcome.

A randomized study of how physicians interpret research funding disclosures.

BACKGROUND: The effects of clinical-trial funding on the interpretation of trial results are poorly understood. We examined how such support affects physicians' reactions to trials with a high, medium, or low level of methodologic rigor. METHODS: We presented 503 board-certified internists with abstracts that we designed describing clinical trials of three hypothetical drugs. The trials had high, medium, or low methodologic rigor, and each report included one of three support disclosures: funding from a pharmaceutical company, NIH funding, or none. For both factors studied (rigor and funding), one of the three possible variations was randomly selected for inclusion in the abstracts. Follow-up questions assessed the physicians' impressions of the trials' rigor, their confidence in the results, and their willingness to prescribe the drugs. RESULTS: The 269 respondents (53.5% response rate) perceived the level of study rigor accurately. Physicians reported that they would be less willing to prescribe drugs tested in low-rigor trials than those tested in medium-rigor trials (odds ratio, 0.64; 95% confidence interval [CI], 0.46 to 0.89; P=0.008) and would be more willing to prescribe drugs tested in high-rigor trials than those tested in medium-rigor trials (odds ratio, 3.07; 95% CI, 2.18 to 4.32; P<0.001). Disclosure of industry funding, as compared with no disclosure of funding, led physicians to downgrade the rigor of a trial (odds ratio, 0.63; 95% CI, 0.46 to 0.87; P=0.006), their confidence in the results (odds ratio, 0.71; 95% CI, 0.51 to 0.98; P=0.04), and their willingness to prescribe the hypothetical drugs (odds ratio, 0.68; 95% CI, 0.49 to 0.94; P=0.02). Physicians were half as willing to prescribe drugs studied in industry-funded trials as they were to prescribe drugs studied in NIH-funded trials (odds ratio, 0.52; 95% CI, 0.37 to 0.71; P<0.001). These effects were consistent across all levels of methodologic rigor. CONCLUSIONS: Physicians discriminate among trials of varying degrees of rigor, but industry sponsorship negatively influences their perception of methodologic quality and reduces their willingness to believe and act on trial findings, independently of the trial's quality. These effects may influence the translation of clinical research into practice.

Nicotine Dependence, Nicotine Metabolism, and the Extent of Compensation in Response to Reduced Nicotine Content Cigarettes.

INTRODUCTION: The Food and Drug Administration has the authority to regulate tobacco product constituents, including nicotine, to promote public health. Reducing the nicotine content in cigarettes may lead to lower levels of addiction. Smokers however may compensate by smoking more cigarettes and/or smoking more intensely. The objective of this study was to test whether individual differences in the level of nicotine dependence (as measured by the Fagerstrom Test of Cigarette Dependence [FTCD]) and/or the rate of nicotine metabolism influence smoking behavior and exposure to tobacco toxicants when smokers are switched to reduced nicotine content cigarettes (RNC). METHODS: Data from 51 participants from a previously published clinical trial of RNC were analyzed. Nicotine content of cigarettes was progressively reduced over 6 months and measures of smoking behavior, as well as nicotine metabolites and tobacco smoke toxicant exposure, CYP2A6 and nicotinic CHRNA5-A3-B4 (rs1051730) genotype were measured. RESULTS: Higher baseline FTCD predicted smoking more cigarettes per day (CPD), higher cotinine and smoke toxicant levels while smoking RNC throughout the study, with no interaction by RNC level. Time to first cigarette (TFC) was associated with differences in compensation. TFC within 10 min was associated with a greater increase in CPD compared to TFC greater than 10 min. Neither rate of nicotine metabolism, nor CYP2A6 or nicotinic receptor genotype, had an effect on the outcome variables of interest. CONCLUSIONS: FTCD is associated with overall exposure to nicotine and other constituents of tobacco smoke, while a short TFC is associated with an increased compensatory response after switching to RNC.

Characterising individual variability in associations between self-monitoring and weight change during and after a behavioral weight management program.

Objective: Greater self-monitoring of caloric intake and weight has been associated with success at both initial weight loss and long-term maintenance. Given the existence of wide variability in weight loss outcomes and the key role of self-monitoring within behavioral weight management interventions, this study examined individual variability in associations between self-monitoring and weight change and whether demographic factors could predict who may best benefit from self-monitoring. Methods: Participants were 72 adults with overweight or obesity (mean ± SD, age = 50.6 ± 10.3; body mass index = 31.2 ± 4.5 kg/m2; 71%Female; 83%White) enrolled in a 12-week weight loss program followed by a 40-week observational maintenance period. Participants were encouraged to self-monitor caloric intake and weight daily and to report these data via a study website each week. Multilevel mixed models were used to estimate week-to-week associations between self-monitoring and weight change, by individual and linear regressions and ANOVAs were used to explore demographic differences in these associations. Results: Most participants (68%) demonstrated statistically significant negative associations between self-monitoring of either caloric intake or weight and weight change. Of these, 76% benefited from self-monitoring both caloric intake and weight, 18% from self-monitoring caloric intake only, and 6% from self-weighing only. The magnitude of associations between self-monitoring and weight change did not significantly differ by age, gender, race/ethnicity, education, or income, all ps > 0.05. Conclusions: Differences in the effectiveness of self-monitoring for weight loss were not observed by demographic characteristics. Future research should examine if other factors may predict the effectiveness of self-monitoring.

Identification of minimum thresholds for dietary self-monitoring to promote weight-loss maintenance.

OBJECTIVE: Reduced schedules of dietary self-monitoring are typically recommended after the end of behavioral weight-loss programs; however, there exists little empirical evidence to guide these recommendations. METHODS: We explored potential thresholds for dietary self-monitoring during a 9-month maintenance period following a 3-month weight-loss program in 74 adults with overweight or obesity (mean [SD] age = 50.7 [10.4] years, BMI = 31.2 [4.5] kg/m2) who were encouraged to self-monitor weight, dietary intake, and physical activity daily and report their adherence to self-monitoring each week via a study website. RESULTS: Greater self-monitoring was correlated with less weight regain for thresholds of ≥3 days/week, with the largest benefit observed for thresholds of ≥5 to ≥6 days/week (all p < 0.05); significant weight gain was observed for thresholds of ≥1 to ≥2 days/week, whereas no change in weight was observed for thresholds of ≥3 to ≥4 days/week, and weight loss was observed with thresholds of ≥5 or more days/week. CONCLUSIONS: Results demonstrate that self-monitoring at least 3 days/week may be beneficial for supporting long-term maintenance, although greater benefit (in relation to weight loss) may be realized at thresholds of 5 to 6 days/week. Future research should investigate whether individuals who were randomized to self-monitor at these different thresholds demonstrate differential patterns of weight-loss maintenance.

Perceptions of an acceptance-based weight management treatment among adults living in rural areas.

Obesity and obesity-related comorbidities disproportionately affect rural communities. Research has emerged in support of a novel acceptance-based behavioural weight management treatment (ABT) that integrates the principles and procedures of acceptance-commitment therapy (ACT) with traditional components of standard behavioural treatment (SBT). The current study assessed the perceptions of community stakeholders in rural areas to session materials of a commercially available ABT program. Surveys and focus groups were used to solicit feedback from three former interventionists with experience delivering SBTs in rural counties and from 17 former participants in these programs. Qualitative responses encompassed four overarching themes: (1) recommendations to support participant engagement, (2) comments about preferences for specific ABT and SBT strategies, (3) concerns about specific aspects of treatment delivery, and (4) requests for aesthetic changes to session materials to enhance clarity and engagement. Overall, participants viewed ABT materials and concepts favourably but believed it would be important to begin the intervention with rapport building and training in traditional SBT strategies prior to delving into ACT strategies. Future studies should investigate the efficacy of ABT for weight loss in adults with obesity living in rural communities and continue to solicit feedback from rural community stakeholders.

Exploring potential reach and representativeness of a self-weighing weight gain prevention intervention in adults with overweight and obesity.

Most adults with obesity do not enrol in comprehensive weight loss interventions when offered. For these individuals, lower burden self-weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m2 (or 25-30 kg/m2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low-burden weight gain prevention intervention focused on daily self-weighing using a cellular network-connected in-home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self-weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m2), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self-weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self-weighing intervention was that it would make individuals overly focused on weight. A low-intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.

Predicting high-risk periods for weight regain following initial weight loss.

OBJECTIVE: The aim of this study was to develop a predictive algorithm of "high-risk" periods for weight regain after weight loss. METHODS: Longitudinal mixed-effects models and random forest regression were used to select predictors and develop an algorithm to predict weight regain on a week-to-week basis, using weekly questionnaire and self-monitoring data (including daily e-scale data) collected over 40 weeks from 46 adults who lost ≥5% of baseline weight during an initial 12-week intervention (Study 1). The algorithm was evaluated in 22 adults who completed the same Study 1 intervention but lost <5% of baseline weight and in 30 adults recruited for a separate 30-week study (Study 2). RESULTS: The final algorithm retained the frequency of self-monitoring caloric intake and weight plus self-report ratings of hunger and the importance of weight-management goals compared with competing life demands. In the initial training data set, the algorithm predicted weight regain the following week with a sensitivity of 75.6% and a specificity of 45.8%; performance was similar (sensitivity: 81%-82%, specificity: 30%-33%) in testing data sets. CONCLUSIONS: Weight regain can be predicted on a proximal, week-to-week level. Future work should investigate the clinical utility of adaptive interventions for weight-loss maintenance and develop more sophisticated predictive models of weight regain.

MyTrack+: Human-centered design of an mHealth app to support long-term weight loss maintenance.

A growing body of research has focused on the utility of adaptive intervention models for promoting long-term weight loss maintenance; however, evaluation of these interventions often requires customized smartphone applications. Building such an app from scratch can be resource-intensive. To support a novel clinical trial of an adaptive intervention for weight loss maintenance, we developed a companion app, MyTrack+, to pair with a main commercial app, FatSecret (FS), leveraging a user-centered design process for rapid prototyping and reducing software engineering efforts. MyTrack+ seamlessly integrates data from FS and the BodyTrace smart scale, enabling participants to log and self-monitor their health data, while also incorporating customized questionnaires and timestamps to enhance data collection for the trial. We iteratively refined the app by first developing initial mockups and incorporating feedback from a usability study with 17 university students. We further improved the app based on an in-the-wild pilot study with 33 participants in the target population, emphasizing acceptance, simplicity, customization options, and dual app usage. Our work highlights the potential of using an iterative human-centered design process to build a companion app that complements a commercial app for rapid prototyping, reducing costs, and enabling efficient research progress.

Fellowship-trained physicians who let their geriatric medicine certification lapse: A national survey.

BACKGROUND: Only 62.6% of fellowship-trained and American Board of Internal Medicine (ABIM)-certified geriatricians maintain their specialty certification in geriatric medicine, the lowest rate among all internal medicine subspecialties and the only subspecialty in which physicians maintain their internal medicine certification at higher rates than their specialty certification. This study aims to better understand underlying issues related to the low rate of maintaining geriatric medicine certification in order to inform geriatric workforce development strategies. METHODS: Eighteen-item online survey of internists who completed a geriatric medicine fellowship, earned initial ABIM certification in geriatric medicine between 1999 and 2009, and maintained certification in internal medicine (and/or another specialty but not geriatric medicine). Survey domains: demographics, issues related to maintaining geriatric medicine certification, professional identity, and current professional duties. RESULTS: 153/723 eligible completed surveys (21.5% response). Top reasons for not maintaining geriatric medicine certification were time (56%), cost of maintenance of certification (MOC) (45%), low Medicare reimbursement for geriatricians' work (32%), and no employer requirement to maintain geriatric medicine certification (31%). Though not maintaining geriatric medicine certification, 68% reported engaging in professional activities related to geriatric medicine. Reflecting on career decisions, 56% would again complete geriatric medicine fellowship, 21% would not, and 23% were unsure. 54% considered recertifying in geriatric medicine. 49% reported flexible MOC assessment options would increase likelihood of maintaining certification. CONCLUSIONS: The value proposition of geriatric medicine certification needs strengthening. Geriatric medicine leaders must develop strategies and tactics to reduce attrition of geriatricians by enhancing the value of geriatric medicine expertise to key stakeholders.

Digital health interventions for all? Examining inclusivity across all stages of the digital health intervention research process.

Digital interventions offer many possibilities for improving health, as remote interventions can enhance reach and access to underserved groups of society. However, research evaluating digital health interventions demonstrates that such technologies do not equally benefit all and that some in fact seem to reinforce a "digital health divide." By better understanding these potential pitfalls, we may contribute to narrowing the digital divide in health promotion. The aim of this article is to highlight and reflect upon study design decisions that might unintentionally enhance inequities across key research stages-recruitment, enrollment, engagement, efficacy/effectiveness, and retention. To address the concerns highlighted, we propose strategies including (1) the standard definition of "effectiveness" should be revised to include a measure of inclusivity; (2) studies should report a broad range of potential inequity indicators of participants recruited, randomized, and retained and should conduct sensitivity analyses examining potential sociodemographic differences for both the effect and engagement of the digital interventions; (3) participants from historically marginalized groups should be involved in the design of study procedures, including those related to recruitment, consent, intervention implementation and engagement, assessment, and retention; (4) eligibility criteria should be minimized and carefully selected and the screening process should be streamlined; (5) preregistration of trials should include recruitment benchmarks for sample diversity and comprehensive lists of sociodemographic characteristics assessed; and (6) studies within trials should be embedded to systematically test recruitment and retention strategies to improve inclusivity. The implementation of these strategies would enhance the ability of digital health trials to recruit, randomize, engage, and retain a broader and more representative population in trials, ultimately minimizing the digital divide and broadly improving population health.