Social determinants of health and cardiometabolic risk factors in Nepal: A scoping review.

AIMS: Cardiometabolic risk factors are modifiable contributors to cardiometabolic disease and adverse outcomes. Cardiometabolic risk factors are emerging health concerns among adults in low and middle-income countries. The role of social determinants of health on cardiometa gaps. DATA SYNTHESIS: A comprehensive search was conducted in multiple databases: PubMed (MEDLINE), Web of Science (Clarivate), and CINAHL (EBSCO). Joanna Briggs Institute's (JBI) Scoping Review methodology and PRISMA extension for scoping reviews-SCRA guided this review. Forty-four cross-sectional studies published between 2010 and 2022 were eligible for this review. Men were more likely to have hypertension, while women were more likely to have obesity and abdominal obesity. Participants from marginalized caste/ethnicity, urban regions, and those with lower education, and greater wealth index had a greater likelihood of hypertension, dyslipidemia, and hyperglycemia; however, differences across these sociodemographic subgroups are narrowing. Smoking, harmful alcohol use, high salt intake, low fruit and vegetable intake, and sedentary lifestyles were associated with one or more cardiometabolic risk factors. Finally, one cardiometabolic risk factor increased the risk of others. CONCLUSIONS: Findings reflect that Nepal is at the intersection of rapid urbanization, nutritional transition, and socioeconomic shift. Future studies should take a multilevel approach to investigate the role of social determinants in increasing the cardiometabolic risk burden in Nepal.

Hospital Utilization for Coronary Artery Disease, 1997-2014.

BACKGROUND: Coronary artery disease (CAD) is the leading cause of cardiovascular morbidity, mortality, and healthcare costs in the United States. There are few reports on how public health and payment reforms might have influenced inpatient hospital use among patients with CAD. OBJECTIVE: This study describes trends in hospital discharges, hospital charges, and discharge destinations in a national sample of patients with CAD between 1997 and 2014. METHODS: This was a longitudinal study with descriptive analysis of the Healthcare Cost and Utilization Project of National Inpatient Sample data. FINDINGS: During this study period, the total number of discharges was 1 333 996. Patients with CAD between 65 and 84 years old were among the highest users of inpatient hospital services, followed by those in the 45- to 64-year age group. The death rate increased from 5961 to 7217 per 10 000 patients during this time. The mean charge increased more than 5 times, from $9100 to $49 643. There was a large difference in mean hospital charges in urban ($51 666) and rural ($25 548) locations in 2014. Coronary artery disease patients with private insurance paid more than those with Medicaid and Medicare plans. The discharge to home and healthcare costs increased by 4.1% and 4.8%, respectively. CONCLUSION AND IMPLICATIONS: Future researchers should use data sets, such as Medicare claims/Medical Expenditure Panel Study, that can provide comprehensive insights into patient-level factors influencing the use of inpatient care services among patients with CAD. Healthcare providers in posthospital settings should be well skilled in providing advanced cardiac rehabilitation and education to patients with CAD.

Structural determinants and cardiometabolic typologies related to frailty in community-dwelling older adults.

Frailty is a geriatric syndrome linked to adverse outcomes. Co-occurring cardiometabolic factors increase frailty risk; however, their distinct combinations (typologies) associated with frailty are unclear. We aimed to identify subgroups of older adults with distinct cardiometabolic typologies and characterize their relationship with structural determinants and frailty to inform tailored approaches to prevent and delay frailty. This study was cross-sectional design and included 7984 community-dwelling older adults (65+ years) enrolled in the Health and Retirement Study (2006 and 2008). Latent class analysis was performed using seven cardiometabolic indicators (abdominal obesity, obesity, low high-density lipoprotein; and elevated blood pressure, blood sugar, total cholesterol, C-reactive protein). Frailty was indicated by ≥3 features (weakness, slowness, fatigue, low physical activity, unintentional weight loss). Logistic regression was used to examine the relationship between structural determinants (gender, race/ethnicity, and education), cardiometabolic typologies, and frailty. Three cardiometabolic subgroups were identified: insulin-resistant (n = 3547), hypertensive dyslipidemia (n = 1246), and hypertensive (n = 3191). Insulin-resistant subgroup members were more likely to be female, non-Hispanic Black, and college non-graduates; hypertensive dyslipidemia subgroup members were more likely to be non-Hispanic Others and report high school education; and hypertensive subgroup members were more likely to be male and college educated (p≤.05). Frailty risk was higher for females, Hispanic or Non-Hispanic Black older adults, and those with lower education (p≤.001). Frailty risk was greater in the insulin-resistant compared to the other subgroups (both aOR=2.0, both p<.001). Findings highlight a need to design tailored interventions targeting cardiometabolic typologies to prevent and delay frailty.

Psychosocial stressors associated with frailty in community-dwelling older adults in the United States.

BACKGROUND: Frailty is multifactorial; however, psychosocial stressors contributing to frailty are poorly understood. This study aimed to examine whether gender, race/ ethnicity, and education are associated with differential exposure to psychosocial stressors, determine psychosocial stressors contributing to frailty, and explore the mediating psychosocial stressors pathway. METHODS: This cross-sectional study involved 7679 community-dwelling older adults (≥65) from the Health and Retirement Study (2006 and 2008 waves). Psychosocial stressors such as loneliness, low subjective social status, financial strain, poor neighborhood cohesion, everyday discrimination, and traumatic life events were measured. Frailty was defined by the Fried phenotype measure. Multivariable logistic regressions were used to examine the association of gender, race/ethnicity, and education with psychosocial stressors, psychosocial stressors associated with frailty, and the mediating psychosocial stressors pathway. RESULTS: Females experienced greater financial strain but lower discrimination (both p < 0.05). Older adults who identified as Hispanic, Black, and racially or ethnically minoritized experienced low subjective social status, high financial strain, low neighborhood cohesion, and high discrimination than their White counterparts (all p < 0.05). Those with lower education experienced high loneliness, low subjective social status, high financial strain, low neighborhood cohesion but lower traumatic life events (all p < 0.05). Psychosocial stressors: High loneliness, low subjective social status, high financial strain, and low neighborhood cohesion (all p < 0.05) independently increased the odds of frailty. The mediating pathway of psychosocial stressors was not significant.  CONCLUSION: Disparities exist in exposure to psychosocial stressors associated with frailty. Multilevel interventions are needed to reduce the influence of psychosocial stressors on frailty.

The MindMoves Trial: Cross-Sectional Analyses of Baseline Vascular Risk and Cognition in Older Women with Cardiovascular Disease.

Background: Vascular diseases, including atherosclerotic cardiovascular disease (ASCVD) and stroke, increase the risk of Alzheimer's disease and cognitive impairment. Serum biomarkers, such as brain-derived neurotrophic factor (BDNF), vascular endothelial growth factor (VEGF), and insulin-like growth factor 1 (IGF-1), may be indicators of cognitive health. Objective: We examined whether vascular risk was associated with levels of cognition and serum biomarkers in older women with cardiovascular disease (CVD). Methods: Baseline data from a lifestyle trial in older women (n = 253) with CVD (NCT04556305) were analyzed. Vascular risk scores were calculated for ASCVD (ASCVD risk estimator) and stroke (CHA2DS2-VASc) based on published criteria. Cognition-related serum biomarkers included BDNF, VEGF, and IGF-1. Cognition was based on a battery of neuropsychological tests that assessed episodic memory, semantic memory, working memory, and executive function. A series of separate linear regression models were used to evaluate associations of vascular risk scores with outcomes of cognition and serum biomarkers. All models were adjusted for age, education level, and racial and ethnic background. Results: In separate linear regression models, both ASCVD and CHA2DS2-VASc scores were inversely associated with semantic memory (ß= -0.22, p = 0.007 and ß= -0.15, p = 0.022, respectively), with no significant findings for the other cognitive domains. There were no significant associations between vascular risk scores and serum biomarkers. Conclusions: Future studies should prospectively examine associations between vascular risk and cognition in other populations and additionally consider other serum biomarkers that may be related to vascular risk and cognition.

Does cumulative psychosocial stress explain frailty disparities in community-dwelling older adults?

OBJECTIVE: Frailty is a leading predictor of adverse outcomes in older adults. Although disparities in frailty are well-documented, it is unclear whether psychosocial stressors explain these disparities. This study aimed to examine the potential mediating role of psychosocial stress. METHODS: This cross-sectional study included 7,679 community-dwelling older adults (≥ 65) from Health and Retirement Study in the US (2006 and 2008). We used six dichotomized psychosocial stressors: a) loneliness, b) discrimination, c) financial strain, d) low subjective status, e) poor neighborhood cohesion, and f) traumatic life events to compute cumulative psychosocial stress. The Fried frailty phenotype defined frailty based on three features: slowness, poor strength, weight loss, fatigue, and low physical activity. Multivariable regressions were used to examine the structural determinants (gender, education, race, and ethnicity) frailty relationship and test whether cumulative psychosocial stress has a mediating role. RESULTS: The frailty prevalence was 22%. Females, Hispanics, Blacks, and those with less education had higher odds of frailty (p<.01). Race and ethnic minorities and non-college graduates experienced greater cumulative psychosocial stress relative to their White and college graduate counterparts (p<.05), respectively. Greater cumulative psychosocial stress was associated with increased odds of frailty (p < .001); however, it did not mediate the structural determinants and frailty relationship. CONCLUSION: Contrary to expectations, cumulative psychosocial stress did not mediate the relationship between structural determinants and frailty. Rather, high cumulative psychosocial stress was independently associated with frailty. Further research should examine other psychosocial mediators to inform interventions to prevent/delay frailty.

Characterization of Parkinson's Disease Subtypes and Related Attributes.

Parkinson's disease is a progressive neurodegenerative disease with complex, heterogeneous motor and non-motor symptoms. The current evidence shows that there is still a marked heterogeneity in the subtyping of Parkinson's disease using both clinical and data-driven approaches. Another challenge posed in PD subtyping is the reproducibility of previously identified PD subtypes. These issues require additional results to confirm previous findings and help reconcile discrepancies, as well as establish a standardized application of cluster analysis to facilitate comparison and reproducibility of identified PD subtypes. Our study aimed to address this gap by investigating subtypes of Parkinson's disease using comprehensive clinical (motor and non-motor features) data retrieved from 408 de novo Parkinson's disease patients with the complete clinical data in the Parkinson's Progressive Marker Initiative database. A standardized k-means cluster analysis approach was developed by taking into consideration of common practice and recommendations from previous studies. All data analysis codes were made available online to promote data comparison and validation of reproducibility across research groups. We identified two distinct PD subtypes, termed the severe motor-non-motor subtype (SMNS) and the mild motor- non-motor subtype (MMNS). SMNS experienced symptom onset at an older age and manifested more intense motor and non-motor symptoms than MMNS, who experienced symptom onset at a younger age and manifested milder forms of Parkinson's symptoms. The SPECT imaging makers supported clinical findings such that the severe motor-non-motor subtype showed lower binding values than the mild motor- non-motor subtype, indicating more significant neural damage at the nigral pathway. In addition, SMNS and MMNS show distinct motor (ANCOVA test: F = 47.35, p< 0.001) and cognitive functioning (F = 33.93, p< 0.001) progression trends. Such contrast between SMNS and MMNS in both motor and cognitive functioning can be consistently observed up to 3 years following the baseline visit, demonstrating the potential prognostic value of identified PD subtypes.

The Association Between Cardiometabolic Risk Factors and Frailty in Older Adults: A Systematic Review.

Background and Objectives: Enhanced management and prevention of frailty depend on our understanding of the association between potentially modifiable risk factors and frailty. However, the associations between potentially modifiable cardiometabolic risk factors and frailty are not clear. The purpose of this review was to appraise and synthesize the current evidence examining the associations between the cardiometabolic risk factors and frailty. Research Design and Methods: Multiple databases, including MEDLINE (via PubMed), Embase (via Elsevier), and Web of Science (via Clarivate), were searched extensively. Studies that examined cardiometabolic risk factors and frailty as main predictors and outcome of interest, respectively, among older adults (≥60 years) were included. The Joanna Briggs Institute critical appraisal tools were used to evaluate the quality of studies. PRISMA (2020) guided this review, and findings were synthesized without meta-analysis. This systematic review was registered in PROSPERO (CRD42021252565). Results: Twelve studies met the eligibility criteria and were included in the review. Abdominal obesity, hyperglycemia, and multiple co-occurring cardiometabolic risk factors were associated with the increased likelihood of frailty in older adults. There was inconsistency across the studies regarding the associations between dyslipidemia, elevated blood pressure, and frailty. Discussion and Implications: Understanding the association between cardiometabolic risk factors and frailty can have translational benefits in developing tailored interventions for the prevention and management of frailty. More studies are needed to validate predictive and clinically significant associations between single and specific combinations of co-occurring cardiometabolic risk factors and frailty.