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1.
Arch Gerontol Geriatr ; 41(3): 289-96, 2005.
Article in English | MEDLINE | ID: mdl-15992945

ABSTRACT

Reports of diabetes mellitus samples in community-dwelling unselected populations suggest a prevalence of 6%. A further 3% of unknown diabetes mellitus subjects are suggested when using formal biochemical methods of diagnosis. In this study, we present the prevalence of diabetes mellitus by self-reports using the CMI and concomitant biochemical detection in 436 community-dwelling older adults who have participated in a 20-year-study of age and cognitive performance in Manchester, UK. Twenty-three of the group reported that they had diagnosed diabetes mellitus, three individuals had a raised HbA(1c) of greater than 7.0% on random testing, but no knowledge of having diabetes mellitus. These individuals were re-contacted and three said they subsequently had a diagnosis of diabetes mellitus made within the two years following the questionnaire. We conclude that in an older population of community-dwelling subjects the numbers of undiagnosed cases of diabetes mellitus is lower than anticipated, based on large unselected population samples. The greater opportunity to interact with health care professionals who may consider screening for diabetes mellitus may explain these findings.


Subject(s)
Diabetes Mellitus/diagnosis , Diabetes Mellitus/epidemiology , Glycated Hemoglobin/metabolism , Population Surveillance , Age Factors , Aged , Aged, 80 and over , Biomarkers/blood , Female , Follow-Up Studies , Humans , Male , Middle Aged , Prevalence , Retrospective Studies , Surveys and Questionnaires , United Kingdom/epidemiology
2.
Neuropsychologia ; 40(6): 605-19, 2002.
Article in English | MEDLINE | ID: mdl-11792402

ABSTRACT

Inhibition is a central construct to the frontal lobe theory of ageing, yet its construct validity remains unproven. Furthermore, age effects on measures of inhibition are often reported without adequate control for the effects of global slowing on performance. We investigated inhibitory function in older adults in two experiments. In Experiment 1, 49 people with ages between 59 and 86 (mean=70 years 9 months S.D.=7.54) completed four analogues of the Stroop interference paradigm. To control for global slowing and to enable comparisons across all measures, we used a random effects model based on log-transformed response times. Age did not contribute significantly to the model and the estimated correlation between tasks was not significant. In Experiment 2, 33 people with ages between 62 and 86 (mean=73 years 4 months, S.D.=6.57) were compared on two measures of Stroop-like interference which were very similar in surface task demands. Age did not contribute significantly to the model but the estimated correlation between tasks was robust (r=0.714). We conclude that age may make little contribution to inhibitory function independently of other factors such as speed and intelligence. Second, that the level of individual consistency in the performance of measures of inhibition will depend on the similarity of the tasks used.


Subject(s)
Aging/physiology , Frontal Lobe/physiology , Inhibition, Psychological , Psychological Tests/standards , Age Factors , Aged , Aged, 80 and over , Humans , Middle Aged , Neuropsychological Tests , Reaction Time , Reproducibility of Results
3.
Arch Gerontol Geriatr ; 50(2): 127-31, 2010.
Article in English | MEDLINE | ID: mdl-19356807

ABSTRACT

Many research studies have demonstrated asymptomatic white matter hyperintensities (WMHs) in older adults, which are postulated to be ischemic in origin. We hypothesized that certain clinical predictors, measured in a population of healthy older adults, would have a positive relationship with WMH scoring on magnetic resonance imaging (MRI). As part of a longitudinal study of cognitive aging we have performed MRI on healthy older adults. In a group of 46 volunteers (25 females; median age 73, range 63-84 years), we have calculated of the Hachinski score and Framingham Stroke Risk Profile (FSRP). Volunteers also provided self-reported health information using the Cornell Medical Index (CMI). These were compared against the total Age Related White Matter Changes (ARWMC) score. The mean total ARWMC score was 7.4 + or - 5.27 (+ or - S.D.) and only 3 (6.5%) individuals had no evidence of WMH. Regression analysis of individual variables identified self-report of cardiovascular disease from the CMI, section C as the only significant predictor of ARWMC. A multivariate linear regression model also identified FSRP at 1 year as a second independently significant predictor. The multivariate model accounted for 19% of the variance in total ARWMC score. The only 6.5% of individuals who had no WMH is in keeping with previous studies. The important finding was the positive relationship with self-reported cardiovascular disease, which is a possible biomarker of sub-clinical cerebrovascular disease (CVD).


Subject(s)
Brain/pathology , Cognition/physiology , Magnetic Resonance Imaging , Aged , Aged, 80 and over , Biomarkers , Brain/anatomy & histology , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/epidemiology , Cerebrovascular Disorders/diagnosis , Cerebrovascular Disorders/epidemiology , Female , Humans , Magnetic Resonance Imaging/statistics & numerical data , Male , Middle Aged , Neuropsychological Tests , Self Disclosure , Severity of Illness Index , Surveys and Questionnaires
4.
J Mot Behav ; 27(4): 325-332, 1995 Dec.
Article in English | MEDLINE | ID: mdl-12529228

ABSTRACT

Subjects (N = 78) performed a visual four-choice reaction time (RT) task, either with or without immediate trial-by-trial feedback, in which RT (but not accuracy) was indicated by the pitch of an auditory tone. For each feedback condition, half of the subjects (the high AH4 group) scored more than 50% on the AH4 test of fluid intelligence (Heim, 1968), whereas the remaining half (the low AH4 group) scored less than 50%. It was predicted that if low AH4 subjects were slow because they were poor at monitoring RT, they would benefit more from feedback than high AH4 subjects would. This was not supported by the data: There was some beneficial effect of feedback on RT, but only for the high AH4 group. A second possibility was that individual differences would be apparent in processes such as detecting errors and controlling RT from trial to trial. From analyses of error rates, RT distributions, and particularly sequences of responses before and after errors, there was no evidence of qualitative differences in performance between the high and low AH4 groups. It is concluded that individual differences in this task are largely determined by information-processing rate rather than by factors such as the ability to detect errors or to monitor and control RT.

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