Research & Evidence

Discrete-time survival analysis of depression and loneliness onset across Household Pulse Survey cycles 1–9. Examined how work arrangement (remote, hybrid, onsite) and social connection interact to predict first-event mental health onset in adults aged 18–34.

Ordinal logistic regression on NSOC data quantifying the relationship between caregiver strain level and workplace productivity impairment. High-strain caregivers showed 40× greater odds of severe productivity loss vs. non-caregivers (F=26.90, p<.001).

Examined how financial instability, housing insecurity, and food insufficiency predicted first-onset depression during the COVID-19 pandemic using nationally representative Household Pulse Survey data with full survey weights applied.

Analysis of Long COVID prevalence and symptom severity on employment status and work limitation. Used NHIS data to model how long-haul symptoms affect labor force participation, hours worked, and functional disability across demographic subgroups.

Examined the mental health consequences of caregiver strain among adult children providing care for aging parents, with attention to the moderating role of social connection. NSOC-based analysis with subgroup comparisons by employment status.

Prototype HEOR study design examining benefits utilization vs. satisfaction across four generational cohorts (Gen Z through Boomers), using WPAI and USPQ instruments. Includes efficiency matrix framework classifying benefits into Expand / Maintain / Redesign / Sunset quadrants.

Intersectional analysis of how race-gender combinations, occupational demands, and social resources jointly predict health outcomes in employed adults. NHIS-based analysis with full survey-weighted multinomial regression.

Examined co-occurrence of Long COVID symptoms and mental health conditions (depression, anxiety) in the general adult population using Household Pulse Survey data. Estimated prevalence and modeled SDOH predictors of comorbid Long COVID + mental illness.

Examined how elder care responsibility predicts healthcare utilization, absenteeism, and presenteeism among employed caregivers. Findings inform employer benefit design and ROI modeling for caregiver support programs. Includes cost-consequence framework.