Resiliency Among Older Adults Receiving Lung Cancer Treatment

Recruitment rates will be defined as the proportion of screened older adults accrued relative to those approached in the Ohio State University Comprehensive Cancer Center (OSUCCC) Thoracic Oncology Clinic. Successful recruitment rates will be defined as >= 50% of older adults (>= 60 years) approached agree to participate.

Study adherence will be defined as the completion of >= 70% of the program sessions, repeated assessments, and collection of bio specimens either at the end of the study period or death, whichever occurs first.

Retention rates will be defined as the percentage of participants not lost to follow-up.

Evaluated using generalized linear mixed models (GLMMS). GLMMs can determine whether factors affect all patient trajectories in similar ways or whether they affect individual trajectories differently. To allow for possible changes in functional status over time (e.g., a change-point analysis) the 'segmented' package in R will be used. Participants' functional status scores will be modeled using a segmented mixed model with random change points. Estimating the change point identifies the point in time that patients' functional status scores change during the 12-months post-diagnosis.

Evaluated using GLMMS. Resiliency will be defined as the ability to maintain or regain at least 50% of baseline functional status at any point during the 12 months after diagnosis with specific emphasis at 3 and 6-months post- the start of treatment. The association between resiliency and clinical factors will be evaluated with appropriate statistical techniques for the specific measure (e.g. Chi-square tests will compare categorical variables between participants demonstrating resiliency vs. worsening functional status; a two-sample t-test or Wilcoxon Rank Sum test will compare continuous variables).