Quality of Life and Comorbidities Impact Education and Employment for Survivors of Adolescent and Young Adult Cancers

Excess risk of chronic health conditions in Hispanic survivors of adolescent and young adult cancers

PURPOSE

There is a growing population of survivors of adolescent and young adult (AYA) cancers (age 15-39 years at diagnosis). Studies in AYA cancer survivors have identified racial and ethnic disparities in long-term outcomes. To understand the extent to which a cancer diagnosis exacerbates pre-existent health disparities within a minoritized population, comparisons should be made to those of the same race or ethnicity without a cancer history.

METHODS

Self-reported data from the National Health Interview Survey (2009-2018) were used to identify Hispanic AYA cancer survivors and Hispanic age- and sex-matched controls. SES factors (marital status, income, education, insurance) and prevalence of chronic health conditions were compared between groups using chi-square tests. The log-odds of chronic conditions were modeled by survey-weighted logistic regression with relation to age at survey, sex, marital status, education, family income, and cancer group (control versus cancer), together with interactions between each variable and cancer group (survivors vs. controls).

RESULTS

Five hundred thirty-nine survivors and 5390 controls were included. Compared with controls, survivors were less likely to be married and have family income > 45 K/year, and more likely to be insured and have completed some college. Survivors had higher odds than controls of chronic health conditions (odds ratio (OR): 7.39, p < 0.001 for at least 1 and OR: 4.78, p < 0.001 for 3 or more) including cardiovascular disease, diabetes, and hypertension. Female sex, higher educational attainment, and public insurance were each associated with increased odds of chronic conditions in Hispanic AYA survivors.

CONCLUSIONS

An AYA cancer diagnosis is associated with poor SES outcomes and increased odds of comorbidities within the Hispanic population.

IMPLICATIONS FOR CANCER SURVIVORS

Cancer history can exacerbate underlying health disparities. Screening for chronic conditions is especially important in minoritized populations.

The use of traditional, complementary and integrative medicine in Chinese adolescent and young adult patients with cancer: A multicenter cross-sectional study

PURPOSE

Adolescent and young adult (AYA) patients with cancer often experience unique physical and psychosocial complications. They may turn to traditional, complementary and integrative medicines (TCIM) to address these concerns. To examine the pattern of TCIM use among AYA patients with cancer and explored their preferences regarding TCIM education.

METHODS

Between August 2021 and December 2022, 246 patients diagnosed with cancer between 15 and 39 years old were recruited from hospitals in Hong Kong. They completed a structured questionnaire on TCIM use, symptom burden, psychological status and preference on education content. Multivariable logistic regression was used to identify predictors of TCIM use, adjusting for age and sex.

RESULTS

Overall, 60.2% reported TCIM use, most commonly vitamins (24.0%) and Chinese herbal medicine (22.0%). The most common reasons for using TCIM were to improve general health (70.9%) and manage chronic symptoms (33.1%). Among patients on active treatment, TCIM users tend to report higher anxiety symptoms (aOR = 1.13, 95% CI = 1.02-1.27). TCIM users who were post-treatment were more likely to have chronic comorbidities (aOR = 3.54, 95% CI = 1.29-11.5). AYA patients indicated that they would like TCIM information to address specific needs, particularly fatigue (53.7%) and psychological problems (54.1%).

CONCLUSIONS

The use of TCIM is common among AYA patients with cancer, especially among patients with high symptom burdens. A tailored education programme should be provided based on patients' preferences and needs. Healthcare professionals including oncologists and oncology nurses should communicate with AYA patients about TCIM use and address their needs by making evidence-based referrals/recommendations based on treatment status and symptom burden.