Background: Mobile digital wellness and health apps play a significant role in optimizing health and aiding in cancer management and decision-making. Objective: This study aims to identify the factors influencing the use of mobile health and wellness apps among cancer information seekers in the United States. Methods: We conducted a cross-sectional study using data from the Health Information National Trends Survey. Our analysis focused on 4770 participants who sought cancer information. We performed weighted univariate and multivariable logistic regression to determine the association between the use of health and wellness apps and socioeconomic factors, medical history and conditions, and lifestyle and behavioral factors. Results: A total of 4770 participants who sought cancer information were included in the final analysis. Of these, 80.9% (n=2705) were health and wellness app users, while 19.1% (n=793) were nonusers. In the final adjusted model, participants with household incomes ≥US $50,000 had 49% higher adjusted odds of using these apps than those with incomes <US $50,000 (adjusted odds ratio [aOR]=1.49, 95% CI 1.02-2.14). College graduates and those with higher educational levels were avid users compared to those with a high school diploma or less (aOR=1.87, 95% CI 1.30-2.67). Internet users had over 3 times the odds of using these apps compared to nonusers (aOR=3.28, 95% CI 1.70-6.33). Participants within the age group 18-34 years were 3.70 times more likely (aOR=3.70, 95% CI 1.90-7.23) to use a health and wellness app compared to participants within the age group of 75 years and older. Conclusions: Age, education, household income, and use of the internet are the major determinants of the adoption of digital health and wellness apps among seekers of cancer information. Hence, public health programs could be directed toward addressing these factors to improve cancer diagnosis, treatment, and management using these apps.

While the association between food insecurity and adolescent obesity is well-established, the mechanisms through which these co-occurring public health crises are linked remain inadequately understood. Using the Social Ecological Model as a theoretical framework, this study examines how individual (physical activity), interpersonal (household food security), community (poverty level, residence), and societal (race/ethnicity) factors interact to influence adolescent weight outcomes. Cross-sectional data from 37,425 adolescents aged 12–17 years in the 2022–2023 National Survey of Children’s Health using weighted multinomial logistic regression with interaction terms were used. Adolescents experiencing nutrition insecurity (adequate quantity but poor-quality food) had 41% higher odds of obesity (adjusted odds ratio (aOR) = 1.41; 95% CI: 1.20–1.65), while those with food insecurity (insufficient quantity) had 48% higher odds (aOR = 1.48; 95% CI: 1.08–2.02) compared to food-secure peers. Significant effect modification emerged across ecological levels: poverty below the 200% federal poverty level (FPL) significantly amplified the food insecurity–obesity relationship (interaction p < 0.001), Hispanic and Black adolescents demonstrated 49% and 78% higher obesity odds, respectively, independent of household food and nutrition security status, and physical activity showed protective effects that varied by food security context (interaction p = 0.003). These findings underscore the necessity of multi-level interventions addressing structural inequities alongside individual behaviors to combat adolescent obesity in food-insecure populations effectively.

BACKGROUND Mobile digital wellness and health apps play a significant role in optimizing health and aiding in cancer management and decision-making OBJECTIVE This study aims to identify the factors influencing the use of mobile health and wellness apps among cancer information seekers in the United States. METHODS We conducted a cross-sectional study of adults using data from the Health Information National Trends Survey (HINTS). We performed weighted univariate and multivariable logistic regression to determine the association between the use of health and wellness apps and socio-economic factors, medical history and conditions, and lifestyle and behavioral factors RESULTS Adults with a family history of cancer were more likely to use digital health and wellness apps compared to those without any family history of cancer (82.7% vs 17.3%). Participants with household incomes ≥ $50,000 had 49% higher adjusted odds of using these apps than those with incomes < $50,000 (aOR=1.49, 95% CI: 1.03 - 2.17). College graduates and those with higher educational levels were avid users compared to those with a high school diploma or less (aOR=1.84, 95% CI: 1.29 - 2.62). Internet users had over three times the odds of using these apps compared to non-users (aOR=3.31, 95% CI: 1.70 - 6.46). CONCLUSIONS Age, education, household income, and use of the internet are the major determinants of the adoption of digital health and wellness apps among seekers of cancer information. Hence, public health programs could be directed toward addressing these factors to improve cancer diagnosis, treatment, and management using these apps CLINICALTRIAL None