Although there is substantial research on quality of care in nursing homes (NH), less is known about what contributes to quality of life (QOL) for NH residents. This study assesses multiple domains of QOL and examines facility- and resident-level correlates for different domains. Data come from (a) self-reported resident interviews using a multidimensional measure of QOL; (b) resident clinical data from the Minimum Data Set; and (c) facility-level characteristics from Minnesota Department of Human Services. We used factor analysis to confirm domains of QOL, and then employed cross-sectional hierarchical linear modeling to identify significant resident- and facility-level predictors of each domain. We examined six unique domains of QOL: environment, personal attention, food, engagement, negative mood, and positive mood. In multilevel models, resident-level characteristics were more reliable correlates of QOL than facility characteristics. Among resident characteristics, gender, age, marital status, activities of daily living, mood disorders, cognitive limitations, and length of stay consistently predicted QOL domains. Among facility characteristics, size, staff hours, quality of care, and percent of residents on Medicaid predicted multiple QOL domains. Examining separate domains rather than a single summary score makes associations with predictors more accurate. Resident characteristics account for the majority of variability in resident QOL. Helping residents maintain functional abilities, and providing an engaging social environment may be particularly important in improving QOL.

What services are available and where racial and ethnic minorities receive long-term services and supports (LTSS) have resulted in a lower quality of care and life for racial/ethnic minority users. These disparities are only likely to worsen during the COVID-19 pandemic, as the pandemic has disproportionately affected racial and ethnic minority communities both in the rate of infection and virus-related mortality. By examining these disparities in the context of the pandemic, we bring to light the challenges and issues faced in LTSS by minority communities with regard to this virus as well as the disparities in LTSS that have always existed.

Drawing from cumulative inequality theory, this research examines how accumulated financial strain affects women’s self-rated health in middle and later life. Using data from the National Longitudinal Survey of Mature Women (1967–2003), we employ random-coefficient growth curve models to examine whether recurring financial strain influences women’s health, above and beyond several measures of objective social status. Predicted probabilities of poor health were estimated by the frequency of financial strain. Financial strain is associated with rapid declines in women’s health during middle and later life, especially for those women who reported recurrent strain. Changes in household income and household wealth were also associated with women’s health but did not eliminate the effects due to accumulated financial strain. Accumulated financial strain has long-term effects on women’s health during middle and later life. The findings demonstrate the importance of measuring life course exposure to stressors in studies of health trajectories.

This study examines the role of work-related perceived age discrimination on women’s mental health over the life course and tests whether financial strain mediates this relationship. Using the National Longitudinal Survey of Mature Women (1967–2003), we employ nested growth curve models to evaluate whether perceived age discrimination at work influences women’s depressive symptoms and life satisfaction and whether perceived financial strain mediates this relationship. Women who experienced age discrimination had greater overall depressive symptoms but not after controlling for financial strain. We found evidence that age discrimination affected financial strain, which, in turn, increased women’s depressive symptoms. Women who reported age discrimination had lower odds of being in higher categories of overall life satisfaction; financial strain partially mediated the relationship but age discrimination remained a significant predictor. Despite legal protection, age discrimination at work is frequent and has significant effects on women’s mental health over the life course. Financial strain partially mediates this relationship, pointing to financial implications of perceived age discrimination for women and their families. Our findings have important policy and workplace implications, calling attention to ageism as a potent stressor for working women’s mental health beyond those tied to sex or race.