Background and Objectives This study aimed to examine the associations between multimorbidity at the COVID-19 pandemic onset and subsequent longitudinal trajectories of depressive symptoms, anxiety symptoms, and loneliness in middle-aged and older adults over a 12-month follow-up. Research Design and Methods Data were from monthly online questionnaires in the COVID-19 Coping Study of US adults aged ≥55 from April/May 2020 through April/May 2021 (N=4,024). Multimorbidity was defined as having ≥2 vs. <2 chronic conditions at baseline. Mental health outcomes were assessed monthly as depressive symptoms (8-item Center for Epidemiologic Studies Depression scale), anxiety symptoms (5-item Beck Anxiety Inventory), and loneliness (3-item UCLA loneliness scale). We used multivariable-adjusted population- and attrition-weighted mixed-effects linear models to examine the longitudinal associations between multimorbidity and mental health symptoms. Results Multimorbidity at the pandemic onset was associated with elevated depressive (b=0.37; 95% CI: 0.16-0.59) and anxiety (b=0.39; 95% CI: 0.15-0.62) symptoms at baseline. Changes in symptoms for all three mental health outcomes were non-linear over time, with worsening symptoms over the first six months of the pandemic (April/May to September/October 2020), followed by improvement in symptoms over the subsequent six months (September/October 2020 to April/May 2021). Middle-aged and older adults with multimorbidity experienced faster rates of change in anxiety symptoms and loneliness than those without multimorbidity, with persistently elevated mental health symptomatology at the end of the follow-up. Discussion and Implications Results highlight the unique and persistent mental health risks experienced by middle-aged and older adults with multimorbidity during the COVID-19 pandemic. The observed improvements in symptoms underscore the mental resilience of these adults, indicating adaptation to the ongoing pandemic.

BackgroundThe COVID-19 pandemic has strained the health and wellbeing of older adult populations through increased morbidity, mortality, and social exclusion. However, the impact of COVID-19 on the health of older adults through food security has received relatively little attention, despite the strong impact of diet quality on the health and longevity of older adults.ObjectiveThe objective of this study was to identify sociodemographic and socioeconomic predictors of self-reported food insecurity before and early in the COVID-19 pandemic among community-dwelling older adults in the United States.MethodsUsing longitudinal data from the Health and Retirement Study, a nationally representative sample of middle-aged and older adults in the United States, we examined the associations between sociodemographic and socioeconomic predictors of self-reported food insecurity between 2018 (N = 2,413) and June 2020 (N = 2,216) using population-weighted multivariate logistic regression models.ResultsThe prevalence of food insecurity doubled among participants from 2018 (4.83%) to June 2020 (9.54%). In 2018, non-Hispanic Black and rural residents were more likely to report food insecurity, while individuals with higher education and greater wealth were less likely to report food insecurity in adjusted models. In June 2020, those who were relatively younger, not working due to a disability, and renting were more likely to report food insecurity. Those with an increased number of functional limitations, a recent onset of a work-limiting disability, and those who were no longer homeowners experienced an elevated longitudinal risk for food insecurity.ConclusionFuture research should examine effective policies and interventions to address the disproportionate impacts of COVID-19 on populations at a heightened risk of experiencing food insecurity.

Objectives:To examine the associations between neighborhood environment—perceived neighborhood social cohesion and perceived neighborhood physical environment—and physical activity (PA) and whether these associations differ by race/ethnicity. Methods: We analyzed data from the Health and Retirement Study, a longitudinal study of US adults aged 50+ from 2006 to 2014 ( N = 17,974), using multivariate mixed-effects linear models. PA was repeatedly measured using metabolic equivalent of task estimated values accounting for the vigor and frequency of self-reported PA. Results: In multivariate models, higher levels of PA were positively associated with higher rated neighborhood social cohesion and neighborhood physical environment scores. The effects of social cohesion were stronger among non-Hispanic Whites than among non-Hispanic Black and Hispanic/Latinx participants, while race/ethnicity did not moderate the association between PA and physical environment. Discussion: Intervention strategies that address social and physical barriers of neighborhoods could promote PA in older adults. Key implications for future research are discussed.

We examined whether baseline depression is associated with myocardial infarction (MI) within a 2-year period among middle-age and older adults in China and whether the association varies by sociodemographic characteristics. Two-year longitudinal data from a nationally representative sample of people aged 45+ years in China were analyzed (N = 15 226). MI within the 2-year period was coded dichotomously. Baseline depression, assessed by the 10-item Center for Epidemiological Studies Depression scale, was used as a dichotomous and a continuous variable. After adjusting for medical conditions, lifestyle, and sociodemographic characteristics, the odds of having an MI within the 2-year period were 46% greater for respondents with clinically significant depression at baseline than those without. There was a dose–response relationship between symptom severity and the probability of having an MI. The association did not vary by sociodemographic characteristics. Findings suggest that depression screening and treatment may reduce MI cases in China and beyond.