Participants will complete self-report questionnaires via Redcap. The questionnaires should take less than 30 minutes

Participants will complete self-report questionnaires via Redcap. The questionnaires should take less than 30 minutes and will include the following options based on their relevance to each sample: 1) sociodemographic (including the comorbidity index) and clinical information, 2) newly developed item pools for body image, fertility, and financial burden, 3) legacy measures for body image, fertility, and financial burden, 4) the PROMIS AYA Health Status Profile, and 5) the PROMIS Global.

Upon completion of data analysis and study team review, investigators will have four unidimensional and locally independent, calibrated item banks: three for AYAs (body image, fertility, and financial burden) and one for caregivers (financial burden). In order to successfully calibrate an item bank, an n=500 is required per bank. In order to examine differential item functioning (DIF), a minimum n=200 per group is recommended. Our proposed sample sizes and specific subgroup accrual targets will be needed to calibrate multiple new item banks (body image, fertility, financial burden), evaluate DIF for various categories (age, gender, race, education) within our sample subgroups (AYAs with and without cancer), and to conduct confirmatory factor analysis (CFAs) on the item banks. In addition, the AYA sample the general population will serve as our reference to establish the mean and standard deviation for body image and fertility.

After the body image, fertility, and financial burden item banks have been calibrated from the primary outcome, short forms will be assembled by selecting the most informative (i.e., high measurement precision with little measurement error) and discriminating items (i.e., item response therapy (IRT) slopes that describe how well an item discriminates among individuals at different points along the measurement continuum) from each of the calibrated item banks. The convergent validity of the new PROMIS item banks and short forms will be examined using bivariate Pearson correlations with comparable constructs.