Modifiable risk behaviors in adolescents and young adults (AYA) with cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18095-e18095 ◽  
Author(s):  
Lia J. Smith ◽  
Andrea C. King ◽  
Xiaolei Lin ◽  
Donald Hedeker ◽  
Tara O. Henderson

e18095 Background: A cancer diagnosis in adolescents and young adults (AYA) comes at a complex developmental interval that often coincides with risky behaviors, such as substance use. Modifiable risk behaviors are an important area of research to minimize morbidity for AYA. Our goal was to examine substance use, affect, and other health indicators in a diverse AYA cancer patient sample. Methods: We identified patients between the ages of 18-39 years and 6 or more months from date of cancer diagnosis. Measures included demographic, general health and substance use variables, the Center for Epidemiologic Studies Depression Scale (CES-D), and the State-Trait Anxiety Inventory (STAI-T). Linear trend analyses were performed to examine group differences. Backward-selection ordinal regression analyses identified specific factors associated with risky health behaviors. Results: Participants (60% male; Mage = 27; 70% White; 14% Black) included 100 patients with primary diagnoses of lymphoma (N = 45); leukemia (N = 37); sarcoma (N = 10); other (N = 8). Median time from cancer diagnosis was 2 years (range 6 months - 20 years). Past year alcohol, cigarette, and marijuana use was reported in 80% ,15%, and 33% of participants, respectively. We classified three subgroups based on past year alcohol and smoking, including non-smoker/non-drinker (n = 20), non-smoker/drinker (n = 65), and smoker/drinker (n = 15). Linear trend analyses indicated that the groups did not differ on time since diagnosis, but the smoker/drinker group initiated drinking younger ( p< 0.01), were more likely to use marijuana in the past year ( p< 0.01), and had increased depressive symptoms (CES-D; p< 0.01), anxiety (STAI-T; p< 0.05), body pain ( p< 0.05), and poorer sleep quality ( p< 0.05). Backward model selection treating outcome categories as ordinal indicated that frequent marijuana use and poor sleep quality were associated with being a past year smoker/drinker. Conclusions: A sizeable portion of AYA cancer patients engage in drinking and smoking, which is associated with negative affect and poorer self-reported health. Targeted interventions should be considered to reduce risky behaviors in this population.

1994 ◽  
Author(s):  
R. M. Cunningham ◽  
◽  
A. R. Stiffman ◽  
P. Dore ◽  
F. Earls

2002 ◽  
Vol 17 (6) ◽  
pp. 321-331 ◽  
Author(s):  
Roselind Lieb ◽  
Petra Zimmermann ◽  
Robert H Friis ◽  
Michael Höfler ◽  
Sven Tholen ◽  
...  

SummaryObjective.Although somatoform disorders are assumed to be chronic clinical conditions, epidemiological knowledge on their natural course based on representative samples is not available.Method.Data come from a prospective epidemiologic study of adolescents and young adults in Munich, Germany. Respondents’ diagnoses (N = 2548) at baseline and follow-up on average 42 months later are considered. The follow-up incidence, stability as well as selected baseline risk factors (sociodemographics, psychopathology, trauma exposure) for the incidence and stability of somatoform disorders and syndromes are prospectively examined. Diagnostic information was assessed by using the standardized Munich-Composite International Diagnostic Interview (M-CIDI).Results.Over the follow-up period, incidence rate for any of the covered somatoform diagnoses was 25.7%. Stability for the overall group of any somatoform disorder/syndrome was 48%. Female gender, lower social class, the experience of any substance use, anxiety and affective disorder as well as the experience of traumatic sexual and physical threat events predicted new onsets of somatoform conditions, while stability was predicted by being female, prior existing substance use, affective and eating disorders as well as the experience of a serious accident.Conclusions.At least for a substantial proportion of individuals, the overall picture of somatization seems to be relatively stable, but with fluctuation in the symptom picture over time. Being female, the experience of substance use as well as anxiety disorder seem to constitute risk factors for the onset of new somatoform conditions as well as for a stable course over time.


2012 ◽  
Vol 13 (5) ◽  
pp. 532-538 ◽  
Author(s):  
Megan E. Patrick ◽  
Patrick M. O’Malley ◽  
Lloyd D. Johnston ◽  
Yvonne M. Terry-McElrath ◽  
John E. Schulenberg

2018 ◽  
Vol 7 (12) ◽  
pp. 543 ◽  
Author(s):  
Sarvenaz Esmaeelzadeh ◽  
John Moraros ◽  
Lilian Thorpe ◽  
Yelena Bird

Background: The purpose of this systematic review was to examine the association and directionality between mental health disorders and substance use among adolescents and young adults in the U.S. and Canada. Methods: The following databases were used: Medline, PubMed, Embase, PsycINFO, and Cochrane Library. Meta-analysis used odds ratios as the pooled measure of effect. Results: A total of 3656 studies were screened and 36 were selected. Pooled results showed a positive association between depression and use of alcohol (odds ratio (OR) = 1.50, 95% confidence interval (CI): 1.24–1.83), cannabis (OR = 1.29, 95% CI: 1.10–1.51), and tobacco (OR = 1.65, 95% CI: 1.43–1.92). Significant associations were also found between anxiety and use of alcohol (OR = 1.54, 95% CI: 1.19–2.00), cannabis (OR = 1.36, 95% CI: 1.02–1.81), and tobacco (OR = 2.21, 95% CI: 1.54–3.17). A bidirectional relationship was observed with tobacco use at baseline leading to depression at follow-up (OR = 1.87, CI = 1.23–2.85) and depression at baseline leading to tobacco use at follow-up (OR = 1.22, CI = 1.09–1.37). A unidirectional relationship was also observed with cannabis use leading to depression (OR = 1.33, CI = 1.19–1.49). Conclusion: This study offers insights into the association and directionality between mental health disorders and substance use among adolescents and young adults. Our findings can help guide key stakeholders in making recommendations for interventions, policy and programming.


JMIR Cancer ◽  
10.2196/12071 ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. e12071 ◽  
Author(s):  
Lisa McCann ◽  
Kathryn Anne McMillan ◽  
Gemma Pugh

Background The last decade has seen an increase in the number of digital health interventions designed to support adolescents and young adults (AYAs) with cancer. Objective The objective of this review was to identify, characterize, and fully assess the quality, feasibility, and efficacy of existing digital health interventions developed specifically for AYAs, aged between 13 and 39 years, living with or beyond a cancer diagnosis. Methods Searches were performed in PubMed, EMBASE, and Web of Science to identify digital health interventions designed specifically for AYA living with or beyond a cancer diagnosis. Data on the characteristics and outcomes of each intervention were synthesized. Results A total of 4731 intervention studies were identified through the searches; 38 interventions (43 research papers) met the inclusion criteria. Most (20/38, 53%) were website-based interventions. Most studies focused on symptom management and medication adherence (15, 39%), behavior change (15, 39%), self-care (8, 21%), and emotional health (7, 18%). Most digital health interventions included multiple automated and communicative functions such as enriched information environments, automated follow-up messages, and access to peer support. Where reported (20, 53% of studies), AYAs’ subjective experience of using the digital platform was typically positive. The overall quality of the studies was found to be good (mean Quality Assessment Criteria for Evaluating Primary Research Papers from a Variety of Fields scores >68%). Some studies reported feasibility outcomes (uptake, acceptability, and attrition) but were not sufficiently powered to comment on intervention effects. Conclusions Numerous digital interventions have been developed and designed to support young people living with and beyond a diagnosis of cancer. However, many of these interventions have yet to be deployed, implemented, and evaluated at scale.


2013 ◽  
Vol 32 (3) ◽  
pp. 237-247 ◽  
Author(s):  
Michelle L. Stock ◽  
Frederick X. Gibbons ◽  
Meg Gerrard ◽  
Amy E. Houlihan ◽  
Chih-Yuan Weng ◽  
...  

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