Exploring the Association of Metabolic Syndrome with In-Hospital Survival of Older Patients Hospitalized with COVID-19: Beyond Chronological Age.

BACKGROUND: Despite the variability and complexity of geriatric conditions, few COVID-19 reports of clinical characteristic prognostication provide data specific to oldest-old adults (over age 85), and instead generally report broadly as 65 and older. OBJECTIVE: To examine metabolic syndrome criteria in adults across 25 hospitals with variation in chronological age. DESIGN AND PARTICIPANTS: This cohort study examined 39,564 hospitalizations of patients aged 18 or older with COVID-19 who received inpatient care between March 13, 2020, and February 28, 2022. EXPOSURE: ICU admission and/or in-hospital mortality. MAIN MEASURES: Metabolic syndrome criteria and patient demographics were examined as risk factors. The main outcomes were admission to ICU and hospital mortality. KEY RESULTS: Oldest old patients (≥ 85 years) hospitalized with COVID-19 accounted for 7.0% (2758/39,564) of all adult hospitalizations. They had shorter ICU length of stay, similar overall hospitalization duration, and higher rates of discharge destinations providing healthcare services (i.e., home health, skilled nursing facility) compared to independent care. Chronic conditions varied by age group, with lower proportions of diabetes and uncontrolled diabetes in the oldest-old cohort compared with young-old (65-74 years) and middle-old (75-84 years) groups. Evaluations of the effect of metabolic syndrome and patient demographics (i.e., age, sex, race) on ICU admission demonstrate minimal change in the magnitude of effect for metabolic syndrome on ICU admission across the different models. CONCLUSIONS: Metabolic syndrome measures are important individual predictors of COVID-19 outcomes. Building on prior examinations that metabolic syndrome is associated with death and ARDS across all ages, this analysis supports that metabolic syndrome criteria may be more relevant than chronological age as risk factors for poor outcomes attributed to COVID-19.

Personality and compliance with COVID-19 protective measures among older Americans: Moderating effects of age, gender, and race/ethnicity.

Following the growing evidence that personality is related to various health behaviors, we examined whether personality traits were related to compliance with COVID-19 protective measures and evaluated the extent to which associations were moderated by age, gender, or race/ethnicity among older adults during a summer 2020 surge of COVID-19 cases in the United States. Data were from the 2020 Health and Retirement Study COVID-19 module. Multivariate ordinary least squares regression analyses were computed adjusting for health, psychosocial, and sociodemographic factors. Results indicated the significant associations between personality traits and compliance with COVID-19 measures varied by age, gender, and race/ethnicity. Specifically, the associations of agreeableness with wearing a mask and frequent handwashing were less pronounced among older compared with younger individuals. The association between extraversion and wearing masks was stronger for men than for women. The associations of agreeableness with handwashing and physical distancing were weaker for Hispanic older adults, whereas the associations of extraversion with physical distancing and using sanitizers were stronger for Hispanic older adults than for their non-Hispanic White counterparts. Implications regarding behavioral science underlying the current pandemic and future public health crises are discussed.

Subjective well-being in centenarians: a comparison of Japan and the United States.

OBJECTIVE: The present study examined the cultural differences and similarities in the levels and predictors of subjective well-being in Japanese and American centenarians. METHOD: We analyzed data on cognitively intact Japanese (N = 59) and American (N = 125) participants from the Tokyo and Georgia Centenarian Studies, respectively. The Philadelphia Geriatric Center Morale Scale was used to measure subjective well-being, while sociodemographic, social, and health resources were assessed as potential predictors. RESULTS: The American participants reported higher scores on well-being (satisfaction with social relations and psychological comfort). However, cultural differences in the levels of well-being disappeared after we controlled for its predictors. The regression models revealed that health resources (cognitive function, hearing problems, and activities of daily living) were strong predictors of well-being in both countries. Social resources (living with others) were strongly associated with one dimension of well-being (attitude toward one's aging) among the Japanese participants. DISCUSSION: The findings support the existing lifespan and cross-cultural literature, indicating that declines in health impose certain limitations on adaptive capacity in oldest-old age irrespective of cultures, and that social embeddedness is valued in Eastern cultures. The authors speculate that cultural values, i.e. personal autonomy versus relational harmony, play an important role for well-being in oldest-old age.

Socioecological factors and positive aspects of caregiving: findings from the REACH II intervention.

OBJECTIVE: Taking a socioecological perspective, this study assessed the relationship of intrapersonal, interpersonal, and organizational factors to positive aspects of caregiving (PAC) for 642 dementia caregivers by racial/ethnic group from the baseline data of the multisite Resources for Enhancing Alzheimer's Caregiver Health II (REACH II) intervention. METHODS: Nine intrapersonal indicators, 4 interpersonal indicators, and 12 organizational indicators were used. Blocked-multiple regression analyses by three racial/ethnic groups were computed to examine significant factors related to PAC among caregivers after controlling for memory and behavioral problems. RESULTS: Data showed a significant difference in PAC and significantly different indicators of PAC by racial/ethnic group. Hispanic caregivers reported the highest level of PAC while White participants showed the lowest scores on the measure of PAC. Education, marital status, and using formal transportation services were significant predictors for PAC among Hispanic caregivers; age, education, caregiving duration, and received social support were significant for PAC among African American caregivers; and sex, education, being a spousal caregiver, satisfaction with social support, using help from homemaker and visiting nurse services, and participating in support groups were significant among White caregivers. CONCLUSION: Findings indicate that PAC varies significantly across the three studied racial/ethnic groups of family caregivers and that intrapersonal, interpersonal, and organizational factors relate uniquely to PAC. Additional investigations of PAC could serve an important role in the development of family caregiving supports and services.

Multimorbidity Patterns, Hospital Uses and Mortality by Race and Ethnicity Among Oldest-Old Patients.

BACKGROUNDS: Adults aged 85 years and older ("oldest-old") are perceived as survivors resilient to age-related risk factors. Although considerable heterogeneity has been often observed in this population, less is known about the unmet needs in health and healthcare service utilization for diverse patients in healthcare systems. We examined racial-ethnic variation in patterns of multimorbidity associated with emergency department (ED), clinic visits, and mortality among the oldest-old patients with multimorbidity. METHODS: Administrative and clinical data from an integrated healthcare system for five years included 25,801 oldest-old patients with two or more chronic conditions. Hierarchical cluster analysis identified patterns of multimorbidity by four racial-ethnic groups (White, Black, Hispanic, & Other). Clusters associated with ED and clinic visits, and mortality were analyzed using generalized estimation equations and proportional hazards survival model, respectively. RESULTS: Hypothyroidism, Alzheimer's disease and related dementia, bone & joint conditions, metabolism syndrome, and pulmonary-vascular clusters were commonly observed across the groups. While most clusters were significantly associated with ED and clinic visits among White patients, bone & joint conditions cluster was the most significantly associated with ED and clinic visits among Black (RR = 1.32, p <.01 for ED; RR = 1.67, p <.0001 for clinic) and Hispanic patients (RR = 1.36, p <.0001 for ED; RR = 1.39, p <.0001 for clinic). Similar patterns were observed in the relationship between multimorbidity clusters and mortality. CONCLUSIONS: Patterns of multimorbidity and its significant association with the uses of ambulatory and emergency care varied by race-ethnicity. More studies are needed to explore barriers when minoritized patients are faced with the use of hospital services.

Caregiving Appraisals and Emotional Valence: Moderating Effects of Activity Participation.

The present study examines the extent to which a two-factor model of affect explains how caregiving appraisals experienced by caregivers influence their own well-being. We used data from three waves of Nation Study of Caregiving (NSOC) to conduct latent growth curve models with the time-varying predictors to investigate the effect of between-person (BP) and within-person (WP) caregiving appraisals on positive and negative affect. Furthermore, we simultaneously modeled WP differences in activity participation and affective experience with multilevel modeling. Then, we tested the moderating effect of activity participation in the association between WP caregiving appraisals and emotional valence. We found that BP and WP caregiving negative appraisal also contribute to caregiver positive affect similar to that of negative affect. Time-varying effects of negative appraisals and emotional valence are consistent with the two-factor model. Future longitudinal investigations could target WP and BP activity participation to alleviate caregiving cognitive appraisal among caregivers.

Profile of Caregiving Activities and Association With Physical Health Among Dementia Spousal Caregivers.

Background and Objectives: This study aims to identify patterns of caregiving intensity and assess associations between caregiving intensity and multidimensional physical health indicators and health behaviors among spousal caregivers of persons with Alzheimer's disease and related dementia. Research Design and Methods: Using data from 152 spousal caregivers aged 65 and older, the intensity of their caregiving experience was measured as the number and frequency of health- and medical-related helping activities for their care recipient. Multidimensional health indicators included self-reported fatigue, sleep disturbance, physical functioning, pain interference, general health, and the number of chronic conditions from the electronic health records. Self-reported health promotion behaviors were assessed as health responsibility, physical activity, nutrition, interpersonal relations, and stress management. Results: Two distinct caregiving intensity patterns, high-intensity (37.5%) and low-intensity (62.5%) caregiving, were identified with cluster analysis. Caregivers in the high-intensity caregiving cluster reported feeling more tired (t = 2.25, p < .05), experiencing more sleep disturbance (t = 3.06, p < .01), and performing less physical activity (t = 2.05, p < .05) compared with caregivers in the low-intensity group. Discussion and Implications: Future studies are needed to develop effective interventions to address caregiving intensity and its consequences on the health of spousal caregivers of persons with dementia.

Changes in quality of life indicators among Chronic Disease Self-Management Program participants: an examination by race and ethnicity.

OBJECTIVE: To assess changes in self-reported quality of life indicators among Chronic Disease Self-Management Program (CDSMP) participants from baseline to 6-month followup and compare observed changes by racial and ethnic group. DESIGN: A pre-post evaluation design was employed for this evidence-based chronic disease self-management intervention. Data were collected at baseline and again six months post intervention. SETTING: Using the aging services network and public health system, workshops were hosted in a variety of community settings including senior centers, churches, libraries, and health care settings. PARTICIPANTS: One-hundred thirty-six adults aged > or =50 years residing in Bexar County, Texas. INTERVENTIONS: CDSMP is an evidence-based program created at Stanford University. The program was held one time per week for six consecutive weeks. Each session lasted approximately 150 minutes. MAIN OUTCOME MEASURES: Health-related quality of life indicators developed by the Centers for Disease Control and Prevention (ie, total number of unhealthy physical days, unhealthy mental days). RESULTS: From baseline to 6-month follow-up, significant differences by racial/ethnic group were observed for changes in unhealthy physical days and changes in combined unhealthy days. Hispanic participants showed greatest improvement, followed by African American participants, followed by non-Hispanic White participants. CONCLUSIONS: Findings indicate health-related quality of life improvements can be sustained months after the conclusion of CDSMP. Given gains seen among minority participants and forthcoming demographic shifts in this Texas region, community-driven interventions should be expanded as part of broader efforts to reduce racial and ethnic disparities in health.

Readmissions and postdischarge mortality by race and ethnicity among Medicare beneficiaries with multimorbidity.

BACKGROUND: Disparities in readmission risk and reasons they might exist among diverse complex patients with multimorbidity, disability, and unmet social needs have not been clearly established. These characteristics may be underestimated in claims-based studies where individual-level data are limited. We sought to examine the risk of readmissions and postdischarge mortality by race and ethnicity after rigorous adjustment for multimorbidity, physical functioning, and sociodemographic and lifestyle characteristics. METHODS: We used Health and Retirement Study (HRS) data linked to Medicare claims. To obtain ICD-9-CM diagnostic codes to compute the ICD-coded multimorbidity-weighted index (MWI-ICD) we used Medicare Parts A and B (inpatient, outpatient, carrier) files between 1991-2015. Participants must have had at least one hospitalization between January 1, 2000 and September 30, 2015 and continuous enrollment in fee-for-service Medicare Part A 1-year prior to hospitalization. We used multivariable logistic regression to assess the association of MWI-ICD with 30-day readmissions and mortality 1-year postdischarge. Using HRS data, we adjusted for age, sex, BMI, smoking, physical activity, education, household net worth, and living arrangement/marital status, and examined for effect modification by race and ethnicity. RESULTS: The final sample of 10,737 participants had mean ± SD age 75.9 ± 8.7 years. Hispanic adults had the highest mean MWI-ICD (16.4 ± 10.1), followed by similar values for White (mean 14.8 ± 8.9) and Black (14.7 ± 8.9) adults. MWI-ICD was associated with a higher odds of readmission, and there was no significant effect modification by race and ethnicity. For postdischarge mortality, a 1-point increase MWI-ICD was associated with a 3% higher odds of mortality (OR = 1.03, 95% CI: 1.03-1.04), which did not significantly differ by race and ethnicity. CONCLUSIONS: Multimorbidity was associated with a monotonic increased odds of 30-day readmission and 1-year postdischarge mortality across all race and ethnicity groups. There was no significant difference in readmission or mortality risk by race and ethnicity after robust adjustment.

The impact of a nutrition counseling program on the use of hospital services for Meals on Wheels clients.

Home-delivered meals have shown considerable promise in overcoming nutritional challenges among homebound older adults facing food insecurity and the risk of diabetes, while nutrition counseling provides knowledge and skills for diabetes management. The purpose of this study was to identify the impact of a program combining nutrition counseling with home-delivered meals by examining the use of hospital services 6 months before and after participating in the program. This study included 1009 clients who are at risk for diabetes and who received home-delivered meals and nutrition counseling via Meals on Wheels in Fort Worth, Texas. Hospital service data were extracted from a regional claims database. Generalized linear models were performed to examine changes in use of hospital services 6 months before and after program participation. The mean number of emergency department visits and hospitalizations decreased from 0.69 to 0.50 (p < .001) and from 0.35 to 0.22 (p < .001), respectively. The findings of this study indicate that combining structured nutritional counseling with home-delivered meals may contribute to reducing healthcare use among older adults facing the challenges of diabetes and food insecurity.