scholarly journals Lagged Associations of Metropolitan Statistical Area- and State-Level Income Inequality with Cognitive Function: The Health and Retirement Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0157327 ◽  
Author(s):  
Daniel Kim ◽  
Beth Ann Griffin ◽  
Mohammed Kabeto ◽  
José Escarce ◽  
Kenneth M. Langa ◽  
...  
2017 ◽  
Vol 65 (8) ◽  
pp. 1857-1862 ◽  
Author(s):  
Claire T. McEvoy ◽  
Heidi Guyer ◽  
Kenneth M. Langa ◽  
Kristine Yaffe

1991 ◽  
Vol 13 (1) ◽  
pp. 103-111 ◽  
Author(s):  
F. Howard Nelson

This research describes a simple way to generate an interstate cost-of-living index from market basket data collected at the standard metropolitan statistical area (SMSA) level. Models were developed for each of four regions to explain differences in the cost of living among more than 180 SMSAs. The regression coefficients were then used as weights and combined with comparable state level data to establish a state cost-of-living index. Finally, the state cost-of-living index values were normalized so that 100 represents the national average for all states weighted by their population. In the concluding section, the 1988–1989 average teacher salary for each state is divided by the interstate cost-of-living index to calculate an adjusted average salary.


2018 ◽  
Author(s):  
Andrew Micah Lindner

While a great many state-level longitudinal measures of public opinion are now available, few measures exist at the Metropolitan Statistical Area (MSA) level. I demonstrate a method for estimating public opinion annually in the fifty-three largest MSAs via disaggregation from the Cooperative Congressional Election Study (CCES). Using this method, I construct an MSA-level citizen political ideology measure from 2006 through 2016. This measure is strongly correlated with MSA-level results from the Presidential Elections in 2008, 2012, and 2016. While the MSA ideology scale itself has many potential applications for future research, so, too, does the underlying method of estimating MSA-level measures using CCES data.


Author(s):  
Rebecca C Stebbins ◽  
Grace A Noppert ◽  
Yang Claire Yang ◽  
Jennifer B Dowd ◽  
Amanda Simanek ◽  
...  

Abstract Chronic infections and the subsequent immune response have recently been shown to be risk factors for cognitive decline and Alzheimer’s Disease and related disorders (ADRD). While some studies have shown an association between cytomegalovirus (CMV), a chronic and highly prevalent infection, and cognition and/or ADRD, these are limited by non-representative and small samples. Using data from 5,617 adults aged 65 years and older from the 2016 Health and Retirement Study, we investigated the cross-sectional association between both CMV serostatus and IgG antibody response and cognitive function using linear regression models adjusted for age, sex, race/ethnicity, and educational attainment. We further investigated potential effect measure modification by educational attainment. Overall, both CMV seropositivity and higher IgG were associated with lower cognitive function, though the relationship was not statistically significant in adjusted models. Among those with less than a high school diploma, CMV seropositivity and being in the first tertile of IgG response relative to seronegatives were associated with lower TICS score (-0.56 (95%CI: -1.63, 0.52) and -0.89 (95%CI: -2.07, 0.29), respectively), and the relationship was attenuated among those with higher education. Our results suggest that CMV may be a risk factor for cognitive impairment, particularly among those with low educational resources.


2021 ◽  
pp. 073998632110254
Author(s):  
Chuihui Xiao ◽  
Shan Mao ◽  
Siming Jia ◽  
Nan Lu

The current study aimed to investigate the associations between family relationship and cognitive function among Hispanic older population. A cross-sectional analysis was conducted with a sample size of 1,580 individuals from the Health and Retirement Study in the United States (mean age = 65.65 ( SD = 9.33)). Family relationship was measured in three dimensions: structural, functional, and appraisal support. The results of linear regression analysis indicated that diverse composition of family network (β = .070, p = .009) and receiving financial support from family members (β = .060, p = .018) were associated with better cognitive function. Moderation analyses demonstrated that these associations were greater for Hispanic women than men. Current findings highlight the importance of family relationship on cognitive function among Hispanic older population and suggest that researchers and policymakers should put emphasis on the structural and functional aspects of family relationship to improve their cognitive health.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Kimberly Hreha ◽  
Brian Downer ◽  
Joshua R Ehrlich ◽  
Giulio Taglialatela

Introduction: Nearly 800,000 people in the United States sustain a stroke each year. Up to 60% of stroke survivors have visual impairments and/or ocular deficits, which may negatively impact functional performance, quality of life, and increase the risk for depression. Poor vision has been associated with cognitive decline in older adults, but little is known if vision impairment is a risk factor for cognitive decline among older adults who have survived a stroke. The purpose of this study was to evaluate the association between vision impairment and cognitive decline among stroke survivors and compare the cognitive trajectories of stroke survivors with and without visual impairment. Methods: We used data from four waves (2010-2016) of the Health and Retirement Study to investigate the cognitive health of stroke survivors with and without visual impairment. Vision (excellent-very good [ref], good, fair-poor) and stroke diagnosis were self-reported. Cognition was measured using the Telephone Interview for Cognitive Status. Linear mixed effects regression was used to model the association between overall, near, and far vision and change in cognitive function, adjusting for confounders. Results: The final sample included 1,475 stroke survivors. A majority were female (55.6%) and white (66.3%) and the mean age was 71.0 (11.7). Fair-poor overall ( B =-1.30, p <0.01), near ( B =-1.53, p <0.001), and far ( B =-1.27, p <0.001) vision, as well as good near ( B =-0.82, p <0.001) and far ( B =-0.48, p <0.05) vision were associated with significantly lower baseline cognitive function compared to excellent-very good vision. The association between self-rated vision and cognition decline was not statistically significant. Conclusions: We found that people with worst vision had lower cognitive functioning but not greater cognitive decline than stroke survivors with excellent-to-very good vision. Further research should investigate if specific types of vision impairment potentiate the risk of cognitive impairment and dementia in stroke survivors.


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