A Hope-Based Intervention to Address Disrupted Goal Pursuits and Quality of Life Among Young Adult Cancer Survivors.

Over 70,000 US young adults are diagnosed with cancer annually, disrupting important life transitions and goal pursuits. Hope is a positive psychology construct associated with better quality of life (QOL) that focuses on goal-oriented thinking. We developed and tested Achieving Wellness After Kancer in Early life (AWAKE), a scalable 8-week app-based program consisting of educational videos, mood/activity tracking, and telephone-based coaching to promote hope and QOL in young adult cancer survivors (YACS, 18-40 years old). A two-arm RCT was used to examine the feasibility, acceptability, and potential efficacy of AWAKE (n = 38) versus attention control (AC; n = 18) among YACS within 2 years of completing treatment and recruited from two NCI-designated cancer centers. Outcomes including hope (Trait Hope Scale), QOL (36-Item Short Form Health Survey; Functional Assessment of Cancer Therapy-General), depressive symptoms (Patient Health Questionnaire-9), and substance use were assessed at baseline, 8 weeks, and 6 months. Participants were an average of 32.55 (SD = 5.45) years old; 75.0% were female, and 80.4% White. The most common cancers were breast cancer (28.6%), melanoma (16.1%), and leukemia/lymphoma (12.5%). High retention, engagement, and satisfaction rates were documented in both conditions; AWAKE versus AC participants rated video content as more relevant (p = 0.007) and reported greater likelihood of talking positively about the program (p = 0.005). Many efficacy change scores showed positive trends in AWAKE versus AC. Reorienting to one's goal pursuits after cancer diagnosis and treatment is critical and may be supported through hope-based interventions. Findings suggest that the AWAKE warrants subsequent research testing its efficacy, effectiveness, and scalability.

Cigarette use trajectories in young adults: Analyses of predictors across system levels.

BACKGROUND: Cigarette smoking escalates most in early to middle young adulthood. However, little research has examined a range of multilevel factors in relation to smoking trajectories during this time. METHODS: We examined: 1) trajectories of cigarette smoking among 2967 US college students (aged 18-25) in a two-year, six-wave longitudinal study (using growth mixture modeling); and 2) intrapersonal- (i.e., other substance use, depressive symptoms, ADHD symptoms,); interpersonal- (i.e., adverse childhood events, social support, parental tobacco and marijuana use), and community-level (i.e., type of college, rural vs. urban setting) predictors of differing trajectories (using multinomial logistic regression). RESULTS: We identified three trajectory classes: 1) Dabblers, who used cigarettes at one point in their life or not at all (85.6%); 2) College Onset Smokers, who began smoking regularly during the college years (6.2%); and 3) Later Onset Smokers, who began smoking during the mid- to late-20 s (8.2%). Multinomial regression (with Dabblers as the reference group) showed that predictors of being College Onset Smokers included being male (p = .031); Asian (p = .001) but not Black (p = .008; Ref: White); early onset smokers (i.e., initiation before age 15; p = .006); past 30-day users of little cigars/cigarillos (p = .024), alcohol (p < .001), and marijuana (p = .008); children of tobacco users (p = .050); and public (p = .031) or a technical college students (p < .001; Ref: private college); predictors of being Later Onset Smokers were being male (p = .019) and technical college students (p = .005). CONCLUSIONS: Despite some young adults' smoking initiating/escalating in middle young adulthood, few risk factors were documented. This understudied period warrants greater examination to inform intervention.