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Darweesh, Sirwan K. L.

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Darweesh

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Sirwan K. L.

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Darweesh, Sirwan K. L.

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2016 - 20172

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Author's Publications: search.filters.isAuthorOfPublication.ca41ab9a-026f-4e42-ae76-9418a6f5365a

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    Gait patterns associated with thyroid function: The Rotterdam Study
    (Nature Publishing Group, 2016) Bano, Arjola; Chaker, Layal; Darweesh, Sirwan K. L.; Korevaar, Tim I. M.; Mattace-Raso, Francesco U. S.; Dehghan, Abbas; Franco, Oscar H.; van der Geest, Jos N.; Ikram, M. Arfan; Peeters, Robin P.
    Gait is an important health indicator and poor gait is strongly associated with disability and risk of falls. Thyroid dysfunction is suggested as a potential determinant of gait deterioration, but this has not been explored in a population-based study. We therefore investigated the association of thyroid function with gait patterns in 2645 participants from the Rotterdam Study with data available on TSH (thyroid-stimulating hormone), FT4 (free thyroxine) and gait, without known thyroid disease or dementia. The primary outcome was Global gait (standardized Z-score), while secondary outcomes included gait domains (Rhythm, Variability, Phases, Pace, Base of support, Tandem, Turning) and velocity. Gait was assessed by electronic walkway. Multivariable regression models revealed an inverted U-shaped association of TSH (p < 0.001), but no association of FT4 concentrations with Global gait (p = 0.2). TSH levels were positively associated with Base of support (p = 0.01) and followed an inverted U-shaped curve with Tandem (p = 0.002) and velocity (p = 0.02). Clinical and subclinical hypothyroidism were associated with worse Global gait than euthyroidism (β = −0.61; CI = −1.03, −0.18; p = 0.004 and β = −0.13; CI = −0.26, −0.00; p = 0.04, respectively). In euthyroid participants, higher thyroid function was associated with worse gait patterns. In conclusion, both low and high thyroid function are associated with alterations in Global gait, Tandem, Base of support and velocity.
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    Trends in the incidence of dementia: design and methods in the Alzheimer Cohorts Consortium
    (Springer Netherlands, 2017) Chibnik, Lori; Wolters, Frank J.; Bäckman, Kristoffer; Beiser, Alexa; Berr, Claudine; Bis, Joshua C.; Boerwinkle, Eric; Bos, Daniel; Brayne, Carol; Dartigues, Jean-Francois; Darweesh, Sirwan K. L.; Debette, Stephanie; Davis-Plourde, Kendra L.; Dufouil, Carole; Fornage, Myriam; Grasset, Leslie; Gudnason, Vilmundur; Hadjichrysanthou, Christoforos; Helmer, Catherine; Ikram, M. Arfan; Ikram, M. Kamran; Kern, Silke; Kuller, Lewis H.; Launer, Lenore; Lopez, Oscar L.; Matthews, Fiona; Meirelles, Osorio; Mosley, Thomas; Ower, Alison; Psaty, Bruce M.; Satizabal, Claudia L.; Seshadri, Sudha; Skoog, Ingmar; Stephan, Blossom C. M.; Tzourio, Christophe; Waziry, Reem; Wong, Mei Mei; Zettergren, Anna; Hofman, Albert
    Several studies have reported a decline in incidence of dementia which may have large implications for the projected burden of disease, and provide important guidance to preventive efforts. However, reports are conflicting or inconclusive with regard to the impact of gender and education with underlying causes of a presumed declining trend remaining largely unidentified. The Alzheimer Cohorts Consortium aggregates data from nine international population-based cohorts to determine changes in the incidence of dementia since 1990. We will employ Poisson regression models to calculate incidence rates in each cohort and Cox proportional hazard regression to compare 5-year cumulative hazards across study-specific epochs. Finally, we will meta-analyse changes per decade across cohorts, and repeat all analysis stratified by sex, education and APOE genotype. In all cohorts combined, there are data on almost 69,000 people at risk of dementia with the range of follow-up years between 2 and 27. The average age at baseline is similar across cohorts ranging between 72 and 77. Uniting a wide range of disease-specific and methodological expertise in research teams, the first analyses within the Alzheimer Cohorts Consortium are underway to tackle outstanding challenges in the assessment of time-trends in dementia occurrence.