scholarly journals Connectivity of depression symptoms before and after diagnosis of a chronic disease: A network analysis in the U.S. Health and Retirement Study

2020 ◽  
Vol 266 ◽  
pp. 230-234 ◽  
Author(s):  
Jaakko Airaksinen ◽  
Kia Gluschkoff ◽  
Mika Kivimäki ◽  
Markus Jokela
2021 ◽  
pp. cebp.0835.2021
Author(s):  
Megan A Mullins ◽  
Jasdeep S Kler ◽  
Marisa R Eastman ◽  
Mohammed Kabeto ◽  
Lauren P Wallner ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
pp. 1721146 ◽  
Author(s):  
David Bürgin ◽  
Cyril Boonmann ◽  
Marc Schmid ◽  
Paige Tripp ◽  
Aoife O’Donovan

2016 ◽  
Vol 37 (9) ◽  
pp. 1133-1149 ◽  
Author(s):  
Lien T. Quach ◽  
Jeffrey A. Burr

The aims of this study were to examine the association between different types of arthritis and falls and to investigate whether clinically significant depression symptoms (CSDS) moderate these relationships. The study used nationally representative data from the 2008 Health and Retirement Study ( n = 7,715, M age = 75, 62% female, and 90% White). Among the respondents, 42% experienced at least one fall during the previous 2 years. About one third had some form of arthritis: 22% osteoarthritis (OA), 4.8% rheumatoid arthritis (RA), 2.3% both OA and RA, and 7.9% with other arthritis types. About one fifth of respondents had CSDS. OA and CSDS are associated with the odds of falling (17% and 29%, respectively), adjusting for socio-demographic characteristics, lifestyle, health conditions, and psychiatric medications. There was no statistically significant interaction between types of arthritis and CSDS. Health care providers should pay attention to managing arthritis, especially OA, and CSDS to prevent falls among older adults.


2015 ◽  
Vol 69 (5) ◽  
pp. 442-446 ◽  
Author(s):  
Ross Andel ◽  
Frank J Infurna ◽  
Elizabeth A Hahn Rickenbach ◽  
Michael Crowe ◽  
Lisa Marchiondo ◽  
...  

Author(s):  
Christopher N Kaufmann ◽  
Mark W Bondi ◽  
Wesley K Thompson ◽  
Adam P Spira ◽  
Sonia Ancoli-Israel ◽  
...  

Abstract BACKGROUND Sleep disturbances are associated with risk of cognitive decline but it is not clear if treating disturbed sleep mitigates decline. We examined differences in cognitive trajectories before and after sleep treatment initiation. METHODS Data came from the 2006-2014 Health and Retirement Study. At each of five waves, participants were administered cognitive assessments and scores were summed. Participants also reported if, in prior two weeks, they had taken medications or used other treatments to improve sleep. Our sample (N=3,957) included individuals who at HRS 2006 were >50 years, had no cognitive impairment, reported no sleep treatment, and indicated experiencing sleep disturbance. We identified differences between those receiving vs. not receiving treatment in subsequent waves, and among those treated (N=1,247), compared cognitive trajectories before and after treatment. RESULTS At baseline, those reporting sleep treatment at subsequent waves were more likely to be younger, female, Caucasian, to have more health conditions, to have higher BMI, and more depressive symptoms (all p’s≤0.015). Decline in cognitive performance was mitigated in periods after sleep treatment vs. periods before (B=-0.20, 95% CI=-0.25, -0.15, p<0.001; vs., B=-0.26, 95% CI=-0.32, -0.20, p<0.001), and this same trend was seen for self-initiated and doctor-recommended treatments. Trends were driven by those with higher baseline cognitive performance—those with lower performance saw cognitive declines following sleep treatment. CONCLUSIONS In middle-aged and older adults with sleep disturbance, starting sleep treatment may slow cognitive decline. Future research should assess types, combinations, and timing of treatments most effective in improving cognitive health in later life.


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