Cognitive Function and the Concordance Between Survey Reports and Medicare Claims in a Nationally Representative Cohort of Older Adults

Medical Care ◽  
2015 ◽  
Vol 53 (5) ◽  
pp. 455-462 ◽  
Author(s):  
Fredric D. Wolinsky ◽  
Michael P. Jones ◽  
Fred Ullrich ◽  
Yiyue Lou ◽  
George L. Wehby
2021 ◽  
Vol 3 (4) ◽  
pp. 239-249
Author(s):  
Michael J. Booth ◽  
Daniel Clauw ◽  
Mary R. Janevic ◽  
Lindsay C. Kobayashi ◽  
John D. Piette

2020 ◽  
Author(s):  
Haibin Li ◽  
Changwei Li ◽  
Anxin Wang ◽  
Yanling Qi ◽  
Wei Feng ◽  
...  

Abstract Background: Associations between the frequency of social and intellectual activities and cognitive trajectories are understudied in Chinese middle-aged and older adults. We aimed to examine this association in a nationally representative longitudinal study.Methods: The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative sample of Chinese middle-aged and older participants. The frequency of social and intellectual activities was measured at baseline. Interview-based cognitive assessments of orientation and attention, episodic memory, and visuospatial skills and the calculation of combined global scores were assessed every 2 year from 2011 to 2016. Cognitive trajectories over the study period were analyzed using group-based trajectory model, and the associations of the trajectory memberships with social and intellectual activities were analyzed using multinomial logistic regression. Odd ratios (OR) and 95% confidence intervals (CI) were reported.Results: Among 8204 participants aged 50-75 years, trajectory analysis identified three longitudinal patterns of cognitive function based on the global cognitive scores: “persistently low trajectory” (n = 1550, 18.9%); “persistently moderate trajectory” (n = 3194, 38.9%); and “persistently high trajectory” (n = 3460, 42.2%). After adjustment for sociodemographic variables, lifestyles, geriatric symptoms and health conditions, more frequent intellectual activities (OR: 0.54, 95% CI: 0.38-0.77) and social activities (OR: 0.79, 95% CI: 0.65-0.95) were both associated with a lower likelihood of being in the “persistently low trajectory” for global cognitive function.Conclusions: These findings suggested that more frequent social and intellectual activities were associated with more favorable cognitive aging trajectories.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Laura J. Samuel ◽  
Sarah L. Szanton ◽  
Jennifer L. Wolff ◽  
Katherine A. Ornstein ◽  
Lauren J. Parker ◽  
...  

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A215-A215
Author(s):  
Yuqi Shen ◽  
Darlynn Rojo-Wissar ◽  
Katherine Duggan ◽  
Brant Hasler ◽  
Adam Spira

Abstract Introduction Greater neuroticism and lower conscientiousness are linked to poorer nighttime sleep among older adults, but little is known about the association between personality and daytime sleep. Napping increases in older adulthood, and napping has been linked to health outcomes, including cognitive impairment. Thus, it is important to extend personality and sleep research to investigate napping behavior. We examined the association between personality and napping in a nationally representative cohort of older adults. Methods We studied 742 adults aged ≥65 years from the National Health and Aging Trends Study (NHATS) who completed the sleep and personality modules in NHATS rounds 3 or 4 (2013–2014). Personality dimensions (neuroticism, extraversion, openness, agreeableness, conscientiousness) were assessed by the Midlife Development Inventory Personality Scales. Participants reported nap frequency over the past month (most days or everyday [nappers-frequent]; some days [nappers-infrequent]; rarely/never [non-nappers]); napping intention (intentional/unintentional); and average nap duration (coded as ≤40 minutes [short]; and >40 minutes [long], consistent with previous studies). Personality dimensions were included together in all models. Model 1 adjusted for age, sex, education, and BMI, and Model 2 further adjusted for anxiety and depression, comorbidities, sleep medications, and nighttime sleep duration. Only nappers were included in models with nap frequency, intention, or duration as outcomes (n=387). Results There were no personality differences between nappers and non-nappers. Among nappers, however, higher neuroticism was associated with lower odds of frequent naps (OR=0.73, 95% CI: 0.55,0.97), and higher agreeableness was associated with greater odds of unintentional napping (OR=1.95, 95% CI:1.12, 3.41) and lower odds of long nap duration (OR=0.54, 95% CI:0.33, 0.90) in Model 1. Associations remained in Model 2. Higher neuroticism was also associated with greater odds of long nap duration in Model 1 (OR=1.40, 95% CI:1.03, 1.91), but not after further adjustment in Model 2. Conclusion This is, to our knowledge, the first study examining the association between personality and daytime napping behaviors among a large sample of older adults, extending the literature on personality and nighttime sleep in this population. Because napping behaviors are associated with health outcomes, personality may be an important factor to consider in interventions addressing napping. Support (if any) NIH grant 5T32MH014592-39


Medical Care ◽  
2014 ◽  
Vol 52 (5) ◽  
pp. 462-468 ◽  
Author(s):  
Fredric D. Wolinsky ◽  
Michael P. Jones ◽  
Fred Ullrich ◽  
Yiyue Lou ◽  
George L. Wehby

2017 ◽  
Vol 174 ◽  
pp. 149-158 ◽  
Author(s):  
Esther M. Friedman ◽  
Regina A. Shih ◽  
Mary E. Slaughter ◽  
Margaret M. Weden ◽  
Kathleen A. Cagney

2020 ◽  
Author(s):  
Sunhee Park ◽  
Beomsoo Kim

BACKGROUND Internet access in Korea has grown dramatically over the past two decades. However, disparities in internet use, referred to as the second level of the digital divide, persist. OBJECTIVE This study aims to examine opportunity, motivation, and health variables that indicate internet use among older adults with diabetes. METHODS Data were sourced from a nationally representative sample of people 65 years and older with diabetes (N=1919). Logistic regression was used to explore potential differences in predictor variables between internet users and nonusers. RESULTS Only 306 of the 1919 (15.95%) participants in the sample used the internet. They were more likely to be younger (odds ratio [OR] 0.89, 95% CI 0.87-0.92), well-educated (OR 1.20, 95% CI 1.16-1.26), and able to afford leisure expenditures (OR 1.02, 95% CI 1.01-1.04). Additionally, they had more information and communications technology (ICT) training experience, were motivated to learn, volunteered, and reported good physical and cognitive function. Participation in ICT education and better health more positively correlated with a higher rate of internet use than did years of education or economic standing in older adults with diabetes. CONCLUSIONS To support older adults with diabetes in the internet age, policies and health care providers should focus on digital competency training as well as physical and cognitive function.


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