scholarly journals CUMULATIVE SOCIOECONOMIC STATUS AND COGNITION TRAJECTORIES IN LATER LIFE: DIFFERENCES BY GENDER AND RACE

2015 ◽  
Vol 55 (Suppl_2) ◽  
pp. 115-116
2017 ◽  
Vol 3 ◽  
pp. 233372141769667 ◽  
Author(s):  
Minjee Lee ◽  
M. Mahmud Khan ◽  
Brad Wright

Objective: We investigated the association between childhood socioeconomic status (SES) and coronary heart disease (CHD) in older Americans. Method: We used Health and Retirement Study data from 1992 to 2012 to examine a nationally representative sample of Americans aged ≥50 years ( N = 30,623). We modeled CHD as a function of childhood and adult SES using maternal and paternal educational level as a proxy for childhood SES. Results: Respondents reporting low childhood SES were significantly more likely to have CHD than respondents reporting high childhood SES. Respondents reporting both low childhood and adult SES were 2.34 times more likely to have CHD than respondents reporting both high childhood and adult SES. People with low childhood SES and high adult SES were 1.60 times more likely than people with high childhood SES and high adult SES to report CHD in the fully adjusted model. High childhood SES and low adult SES increased the likelihood of CHD by 13%, compared with high SES both as a child and adult. Conclusion: Childhood SES is significantly associated with increased risk of CHD in later life among older adult Americans.


2018 ◽  
Vol 31 (9) ◽  
pp. 1589-1615 ◽  
Author(s):  
Emily A. Greenfield ◽  
Sara M. Moorman

Objectives:This study examined childhood socioeconomic status (SES) as a predictor of later life cognition and the extent to which midlife SES accounts for associations. Methods: Data came from 5,074 participants in the Wisconsin Longitudinal Study. Measures from adolescence included parents’ educational attainment, father’s occupational status, and household income. Memory and language/executive function were assessed at ages 65 and 72 years. Results: Global childhood SES was a stronger predictor of baseline levels of language/executive function than baseline memory. Associations involving parents’ education were reduced in size and by statistical significance when accounting for participants’ midlife SES, whereas associations involving parental income and occupational status became statistically nonsignificant. We found no associations between childhood SES and change in cognition. Discussion: Findings contribute to growing evidence that socioeconomic differences in childhood have potential consequences for later life cognition, particularly in terms of the disparate levels of cognition with which people enter later life.


2020 ◽  
Vol 43 (1) ◽  
pp. 14-24
Author(s):  
Sarah Garcia ◽  
Sara M. Moorman

Research has shown a consistent association between college completion and laterlife cognition. We extend this work by examining whether college selectivity—the achievement level required to gain admission to a college—is associated with memory functioning more than 50 years later. We analyze data from 10,317 participants in the 1957–2011 Wisconsin Longitudinal Study to examine the relationship between college selectivity and later-life memory. Models control for childhood, midlife socioeconomic status, and later-life health and adjust for selection bias. Selective college attendance was associated with small benefits in memory at age of 72 even after accounting for socioeconomic status in both childhood and midlife and later-life health. The results of this study suggest that college selectivity may be an important component of the education–cognitive functioning relationship that has modest implications for intracohort differences in later-life cognition.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S733-S733
Author(s):  
Yu-Chih Chen ◽  
Nancy Morrow-Howell

Abstract Wealth is fundamentally affected by various life course characteristics. However, little is known about the role of life course factors in shaping wealth trajectories in later life. This study explored how the longitudinal profiles of wealth varied by gender and race (white and non-white populations). Data came from the 2004-2014 Health and Retirement Study with 16,189 older adults aged 51 and older. With corrections for clustered effect within household, this study used growth mixture modeling (GMM) to identify the longitudinal patterns of wealth, and how these profiles varied by these two important life course attributes. The model began with a separate GMM model for race and gender to investigate the optimal latent class model. These results were combined using multi-group approach to incrementally examine the gender and race invariance using configural (same form), structural (same trajectory mean), dispersion (same trajectory variance), and distributional (same latent class size) test. Results identified four distinct wealth profiles—Stable high, Low and increasing, Stable low, and High but decline—for each race and gender category. The multigroup GMM analyses revealed that the wealth profiles varied by gender and race, but the degrees of variation differed a great deal, with results supporting a dispersion model for gender but a configural model for race. Results indicate that race has a stronger effect in shaping wealth development compared to gender. The findings suggest that understanding wealth disparities in later life could be facilitated by examining how wealth varies by gender and race.


2019 ◽  
Vol 60 (3) ◽  
pp. 326-343 ◽  
Author(s):  
Katsuya Oi ◽  
Steven Haas

Socioeconomic conditions in childhood predict cognitive functioning in later life. It is unclear whether poor childhood socioeconomic status (SES) also predicts the acceleration of cognitive decline. One proposed pathway is via cardiometabolic risk, which has been linked to both childhood SES and earlier onset of cognitive impairment. Using data from the Health and Retirement Study, we examine the impact of childhood SES on cognitive trajectories over six years and test whether it operates through increased cardiometabolic risk and adult SES. We find that higher childhood SES leads to slower cognitive decline, partially due to lower levels of cardiometabolic risk. However, these pathways operate entirely through adult socioeconomic attainment. The results have important implications for future trends in cognitive population health within the context of growing social inequality and reduced social mobility.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 62-62
Author(s):  
Zhuoer Lin ◽  
Xi Chen

Abstract Objectives: This study examines the long-term relationship between early life circumstances and later life cognitive aging. In particular, we differentiate the long-term effects of early life circumstances on level of cognitive deficit and rate of cognitive decline. Methods: Cognitive trajectories were measured using three waves of China Health and Retirement Longitudinal Surveys (CHARLS 2011-2015). Linear mixed-effect model was used to decompose the individual level of cognitive deficit and rate of cognitive change in a sample of Chinese middle-aged and older adults 45-90 years of age (N=6,700). These two dimensions of cognition were matched to four domains of early life circumstances using CHARLS Life History Survey (2014), including childhood socioeconomic status, neighborhood environment, social relationships and health conditions. Their associations were examined by linear regressions. Stratification analysis was further conducted to investigate the mediating effect of education on early life circumstances and cognitive aging. Results: Childhood socioeconomic status, childhood friendship and early life health conditions were significantly associated with both the level of cognitive deficit and rate of decline. In contrast, the community environment, including childhood neighborhood safety and social cohesion, only affected the baseline level of cognitive deficit; and childhood relationship with parents only affected the rate of cognitive decline. Moreover, education was found to be a mediating factor of these relationships. Conclusion: Exposure to disadvantaged early life circumstances have significant negative effects on later life cognitive deficit as well as rate of cognitive decline. Nevertheless, these long-term impacts can be partially ameliorated by higher educational attainment.


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