Understanding the relationship between perceived discrimination, allostatic load, and all-cause mortality in US older adults: A mediation analysis

Allostatic Load, Morbidity, and Mortality Among Older Adults: A Multi-Wave Analysis From the National Health and Aging Trends Study

Although allostatic load (AL) is a key concept to reflect physiologic wear and tear from stress, older adults are underrepresented in AL-related research, especially the oldest old (≥80). Further, attenuative factors are often unaccounted for. This longitudinal analysis using data from National Health and Aging Trends Study investigated relationships of AL in 2017 and multi-wave (1) comorbidity accumulation using multilevel Poisson modeling and (2) mortality risk using survival analysis. By year five (2022), each incremental AL increase that older adults (n = 3614) experienced was associated with a 47% increase in comorbidity (p < .001), and a 33% increased mortality risk (p < .001). This research supports a shift to a more proactive, health promotion/risk mitigation paradigm through informing intervention research targeting AL, which is currently scarce. Identifying potentially modifiable and key driving factors influencing the relationship between AL and health among older adults is an important next step to inform intervention design.

Association of perceived discrimination with the risk of depression among US older adults: A prospective population-based cohort study

Aims

Association between perceived discrimination and depression has been demonstrated in some sources of discrimination, such as age, sex, and race. However, the effects of perceived discrimination both in any domain and each domain on development of depression are still unclear. We aimed to estimate the association of any and each domain of perceived discrimination with the risk of depression among US older adults.

Methods

We did a population-based cohort study using eight waves (from 2006 to 2020) of data from the Health and Retirement Study (HRS), a nationally representative study of US older adults aged 51 years and above. Perceived discrimination was measured by the shortened 5-item version of Williams' discrimination scale, including five domains (less courtesy, service setting, not smart, threatened or harassed, and medical setting). Depressive symptoms were assessed with shortened 8-item version of the Center for Epidemiological Depression scale (8-item CES-D). Cox proportional hazards models were used to estimate the crude and adjusted hazards ratio (HRs) and their 95 % confidence intervals (CIs) between perceived discrimination and risk of depression, after controlling for potential confounders.

Results

A total of 18502 participants were included in our final analyses. 42.8 % of them had any perceived discrimination at baseline, and the most prevalent perceived discrimination was feeling less courtesy, which was observed in 5893 people (31.6 %). During a median of 9.8 years follow-up, 44.7 % of participants developed depression. The risk of depression was 46 % (adjusted HR: 1.46, 95 % CI: 1.39-1.52) higher among people with perceived discrimination than those without. The associations between perceived discrimination in each domain and risk of depression were all prominent.

Conclusions

Both any and each domain of perceived discrimination were associated with an increased risk of depression. Considering the high prevalence of perceived discrimination and the following poor health outcomes, our findings suggested the integrated measures of providing public education and diversified communication to reduce discrimination, as well as accessible emotional supports to prevent depression are urgently needed.

The role of structural racism and geographical inequity in diabetes outcomes

Diabetes is pervasive, exponentially growing in prevalence, and outpacing most diseases globally. In this Series paper, we use new theoretical frameworks and a narrative review of existing literature to show how structural inequity (structural racism and geographical inequity) has accelerated rates of diabetes disease, morbidity, and mortality globally. We discuss how structural inequity leads to large, fixed differences in key, upstream social determinants of health, which influence downstream social determinants of health and resultant diabetes outcomes in a cascade of widening inequity. We review categories of social determinants of health with known effects on diabetes outcomes, including public awareness and policy, economic development, access to high-quality care, innovations in diabetes management, and sociocultural norms. We also provide regional perspectives, grounded in our theoretical framework, to highlight prominent, real-world challenges.