Disparities in physical activity in adolescent and young adult cancer survivors

The Digital Revolution in Medicine: Applications in Cardio-Oncology

PURPOSE OF REVIEW

A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors.

RECENT FINDINGS

Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services.

SUMMARY

In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.

Nicotine and Cannabis Use in Adolescent and Young Adult Cancer Survivors: A Scoping Review

Adolescent and young adult (AYA) cancer survivors face increased risks of long-term health complications, compounded by engagement in risky health behaviors such as smoking or vaping nicotine or cannabis products (e.g., inhaled substance use). This scoping review explores the existing literature on inhaled substance use among AYA cancer survivors to better understand the prevalence, methods, and contributing factors driving these behaviors. While combustible cigarette smoking is decreasing, vaping remains prevalent, and both are associated with inhaled cannabis co-use. Mental health challenges experienced by AYA survivors, such as depression and anxiety, may drive increased substance use as a maladaptive coping mechanism. Despite the well-documented risks of continued substance use post-cancer diagnosis, evidence for substance use interventions tailored specifically to this population is limited. Our review identifies significant knowledge gaps, including the need for targeted research on substance use patterns, effective cessation interventions, and health care provider engagement. Further research is essential to develop evidence-based interventions to reduce inhaled substance use in AYA cancer survivors, improving their long-term health outcomes.

A pilot study of device-assessed physical activity and ecological momentary assessment among adolescent and young adult survivors of childhood cancer

BACKGROUND

Adolescent and young adult survivors of childhood cancer (AYA) are at risk for treatment-related late effects (eg, heart and lung problems) which may be mitigated by physical activity (PA). To design effective, tailored PA interventions for this population, predictors and benefits of PA behavior need to be measured in real-time.

PURPOSE

To examine the feasibility and acceptability of ecological momentary assessment (EMA) combined with accelerometry and explore the dynamic associations between PA and real-time physical and psychosocial factors among AYA.

METHODS

AYA (N = 20, mean age = 18.9 years) recently off cancer treatment participated in a 2-week intensive monitoring protocol in which they completed up to 4 EMA surveys/day assessing current mood, pain, fatigue, arousal, PA intentions and motivation, and social-environmental context, while PA levels were passively monitored using a wrist-worn ActiGraph GT9X accelerometer. Acceptability was measured via self-report.

RESULTS

EMA and accelerometry were feasible and acceptable (≥70% compliance and study endorsement) for AYA. Multilevel models showed that AYA engaged in more PA when they were away from home, with others, in a better mood, less fatigued, more energetic, and more motivated than their own average levels. Further, when AYA engaged in more PA than their usual levels in the hour before completing an EMA survey, they subsequently reported less fatigue, less pain, more energy, and a more positive mood.

CONCLUSIONS

EMA and accelerometry are acceptable and feasible among AYA survivors of childhood cancer. This methodology can be utilized for understanding the real-time barriers, facilitators, and benefits of PA behaviors in this at-risk population to design effective, dynamic PA interventions.

Survivorship after adolescent and young adult cancer: models of care, disparities, and opportunities

Survivors of adolescent and young adult (AYA; age 15-39 years at diagnosis) cancer are a growing population with the potential to live for many decades after treatment completion. Survivors of AYA cancer are at risk for adverse long-term outcomes including chronic conditions, secondary cancers, impaired fertility, poor psychosocial health and health behaviors, and financial toxicity. Furthermore, survivors of AYA cancer from racially minoritized and low socioeconomic status populations experience disparities in these outcomes, including lower long-term survival. Despite these known risks, most survivors of AYA cancer do not receive routine survivorship follow-up care, and research on delivering high-quality, evidence-based survivorship care to these patients is lacking. The need for survivorship care was initially advanced in 2006 by the Institute of Medicine. In 2019, the Quality of Cancer Survivorship Care Framework (QCSCF) was developed to provide an evidence-based framework to define key components of optimal survivorship care. In this commentary focused on survivors of AYA cancer, we apply the QCSCF framework to describe models of care that can be adapted for their unique needs, multilevel factors limiting equitable access to care, and opportunities to address these factors to improve short- and long-term outcomes in this vulnerable population.

Examining sociodemographic and health-related characteristics as moderators of an mHealth intervention on physical activity outcomes in young adult cancer survivors

PURPOSE

This study explored whether sociodemographic and health-related characteristics moderated mHealth PA intervention effects on total and moderate-to-vigorous physical activity (MVPA) at 6 months, relative to a self-help condition among young adult cancer survivors (YACS).

METHODS

We conducted exploratory secondary analyses of data from a randomized controlled trial among 280 YACS. All participants received digital tools; intervention participants also received lessons, adaptive goals, tailored feedback, text messages, and Facebook prompts. Potential moderators were assessed in baseline questionnaires. PA was measured at baseline and 6 months with accelerometers. Linear model repeated measures analyses examined within- and between-group PA changes stratified by levels of potential moderator variables.

RESULTS

Over 6 months, the intervention produced MVPA increases that were ≥ 30 min/week compared with the self-help among participants who were males (28.1 vs. -7.7, p = .0243), identified with racial/ethnic minority groups (35.2 vs. -8.0, p = .0006), had baseline BMI of 25-30 (25.4 vs. -7.2, p = .0034), or stage III/IV cancer diagnosis (26.0 vs. -6.8, p = .0041). Intervention participants who were ages 26-35, college graduates, married/living with a partner, had a solid tumor, or no baseline comorbidities had modest MVPA increases over 6 months compared to the self-help (ps = .0163-.0492). Baseline characteristics did not moderate intervention effects on total PA.

CONCLUSIONS

The mHealth intervention was more effective than a self-help group at improving MVPA among subgroups of YACS defined by characteristics (sex, race, BMI, cancer stage) that may be useful for tailoring PA interventions.

IMPLICATIONS FOR CANCER SURVIVORS

These potential moderators can guide future optimization of PA interventions for YACS.

CLINICALTRIALS

GOV IDENTIFIER

NCT03569605.

Incorporating Exercise Training into Cardio-Oncology Care: Current Evidence and Opportunities: JACC: CardioOncology State-of-the-Art Review

Cancer treatment-induced cardiotoxicities are an ongoing concern throughout the cancer care continuum from treatment initiation to survivorship. Several "standard-of-care" primary, secondary, and tertiary prevention strategies are available to prevent the development or further progression of cancer treatment-induced cardiotoxicities and their risk factors. Despite exercise's established benefits on the cardiovascular system, it has not been widely adopted as a nonpharmacologic cardioprotective strategy within cardio-oncology care. In this state-of-the-art review, the authors discuss cancer treatment-induced cardiotoxicities, review the existing evidence supporting the role of exercise in preventing and managing these sequelae in at-risk and affected individuals living after cancer diagnoses, and propose considerations for implementing exercise-based services in cardio-oncology practice.