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Ruth Sibbett
University of Edinburgh
PsychiatryPsychologyCognitionDementiaCohort
10Publications
4H-index
80Citations
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Publications 11
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#1Ruth Sibbett (Edin.: University of Edinburgh)H-Index: 4
#2Drew Altschul (Edin.: University of Edinburgh)H-Index: 5
Last. Tom C. Russ (Edin.: University of Edinburgh)H-Index: 18
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BACKGROUND: Previous studies have demonstrated an association between DNA methylation-based measures of accelerated ageing and age-related health outcomes and mortality. As a disease closely associated with advancing age, we hypothesized that DNA methylation-based measures of accelerated ageing might be associated with risk for dementia. This study therefore aimed to examine the association between four recognised measures of age acceleration and subsequent dementia. METHODS: Study subjects (n =...
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#1Ruth Sibbett (Edin.: University of Edinburgh)H-Index: 4
#2Tom C. Russ (Edin.: University of Edinburgh)H-Index: 18
Last. John M. Starr (Edin.: University of Edinburgh)H-Index: 89
view all 5 authors...
Previous studies have demonstrated that individual measures of fitness – such as reduced pulmonary function, slow walking speed and weak handgrip – are associated with an increased risk of dementia. Only a minority of participants included in these studies were aged over 80. The aim of this study was therefore to investigate the association between physical fitness and dementia in the oldest old. Subjects (n = 488) were enrolled in the Lothian Birth Cohort 1921 and aged 79 at baseline. Dementia ...
1 CitationsSource
#1Ruth SibbettH-Index: 4
#2Tom C. Russ (Edin.: University of Edinburgh)H-Index: 18
Last. Ian J. DearyH-Index: 128
view all 5 authors...
2 CitationsSource
#1Stuart J. RitchieH-Index: 26
Last. Ian J. Deary (Edin.: University of Edinburgh)H-Index: 128
view all 19 authors...
Abstract Fully characterizing age differences in the brain is a key task for combatting ageing-related cognitive decline. Using propensity score matching on two independent, narrow-age cohorts, we used data on childhood cognitive ability, socioeconomic background, and intracranial volume to match participants at mean age 92 years ( n = 42) to very similar participants at mean age 73 ( n = 126). Examining a variety of global and regional structural neuroimaging variables, there were large differe...
1 CitationsSource
#1Ruth Sibbett (Edin.: University of Edinburgh)H-Index: 4
#2Tom C. RussH-Index: 18
Last. John M. Starr (Edin.: University of Edinburgh)H-Index: 89
view all 4 authors...
Studies investigating the risk factors for or causation of dementia must consider subjects prior to disease onset. To overcome the limitations of prospective studies and self-reported recall of information, the use of existing data is key. This review provides a narrative account of dementia ascertainment methods using sources of existing data. The literature search was performed using: MEDLINE, EMBASE, PsychInfo and Web of Science. Included articles reported a UK-based study of dementia in whic...
7 CitationsSource
#1Ruth Sibbett (Edin.: University of Edinburgh)H-Index: 4
#2Tom C. Russ (Edin.: University of Edinburgh)H-Index: 18
Last. John M. Starr (Edin.: University of Edinburgh)H-Index: 89
view all 4 authors...
Abstract Background With increasing numbers of people surviving beyond eighty years, this section of the population demands attention to reduce the impact of dementia. In order to develop effective preventative strategies, it is essential to understand age-specific risk factor profiles for dementia: do risk factors for dementia in those in their sixties and seventies persist into oldest age? The aims of this study were to determine incident dementia and to investigate the risk profile for dement...
2 CitationsSource
#1Stuart J. RitchieH-Index: 9
#2Elliot M. Tucker-Drob (University of Texas at Austin)H-Index: 31
Last. Ian J. DearyH-Index: 128
view all 11 authors...
Abstract It is critical to discover why some people's cognitive abilities age better than others'. We applied multivariate growth curve models to data from a narrow-age cohort measured on a multi-domain IQ measure at age 11 years and a comprehensive battery of thirteen measures of visuospatial, memory, crystallized, and processing speed abilities at ages 70, 73, and 76 years ( n = 1091 at age 70). We found that 48% of the variance in change in performance on the thirteen cognitive measures was s...
28 CitationsSource
#1Stuart J. RitchieH-Index: 26
Last. Ian J. DearyH-Index: 128
view all 17 authors...
Later-life changes in brain tissue volumes—decreases in the volume of healthy grey and white matter and increases in the volume of white matter hyperintensities (WMH)—are strong candidates to explain some of the variation in ageing-related cognitive decline. We assessed fluid intelligence, memory, processing speed, and brain volumes (from structural MRI) at mean age 73 years, and at mean age 76 in a narrow-age sample of older individuals (n = 657 with brain volumetric data at the initial wave, n...
34 CitationsSource
We read with interest the paper that explores the attitudes of those delivering undergraduate teaching in psychiatry as a factor in poor recruitment.[1][1] We appreciate that a positive attitude to teaching students is vital in the delivery of education and in creating appropriate role models, but
5 CitationsSource
#1Ruth SibbettH-Index: 4
Last. M. Wright
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