A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study

Author(s):  
Kiranmoy Das ◽  
Bhuvanesh Pareek ◽  
Sarah Brown ◽  
Pulak Ghosh
2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S194-S194
Author(s):  
Kexin Yu ◽  
Kexin Yu ◽  
Shinyi Wu ◽  
Iris Chi

Abstract Internet is increasingly popular among older adults and have changed interpersonal interactions. However, it remains controversial whether older people are more or less lonely with internet use. This paper tests the longitudinal association of internet use and loneliness among older people. One pathway that explains the association, the mediation effect of social contact, was examined. Data from the 2006, 2010 and 2014 waves of Health and Retirement Study was used. Hierarchical liner modeling results showed internet use was related to decreased loneliness over 12-year period of time (b=-0.044, p<.001). Internet use was associated with more social contact with family and friends overtime (b=0.261, p<.001), social contact was related to less perceived loneliness longitudinally (b=0.097, p<.001). The total effect of internet use on loneliness is -0.054 and the mediated effect is -0.025. The findings imply that online activities can be effective for reducing loneliness for older people through increased social contact.


2021 ◽  
Vol 42 (01) ◽  
pp. 075-084
Author(s):  
Ahmed F. Shakarchi ◽  
Lama Assi ◽  
Abhishek Gami ◽  
Christina Kohn ◽  
Joshua R. Ehrlich ◽  
...  

AbstractWith the aging of the population, vision (VL), hearing (HL), and dual-sensory (DSL, concurrent VL and HL) loss will likely constitute important public health challenges. Walking speed is an indicator of functional status and is associated with mortality. Using the Health and Retirement Study, a nationally representative U.S. cohort, we analyzed the longitudinal relationship between sensory loss and walking speed. In multivariable mixed effects linear models, baseline walking speed was slower by 0.05 m/s (95% confidence interval [CI] = 0.04–0.07) for VL, 0.02 (95% CI = 0.003–0.03) for HL, and 0.07 (95% CI = 0.05–0.08) for DSL compared with those without sensory loss. Similar annual declines in walking speeds occurred in all groups. In time-to-event analyses, the risk of incident slow walking speed (walking speed < 0.6 m/s) was 43% (95% CI = 25–65%), 29% (95% CI = 13–48%), and 35% (95% CI = 13–61%) higher among those with VL, HL, and DSL respectively, relative to those without sensory loss. The risk of incident very slow walking speed (walking speed < 0.4 m/s) was significantly higher among those with HL and DSL relative to those without sensory loss, and significantly higher among those with DSL relative to those with VL or HL alone. Addressing sensory loss and teaching compensatory strategies may help mitigate the effect of sensory loss on walking speed.


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