Vassilaki, Maria

Objective There is a need for inexpensive noninvasive tests to identify older healthy persons at risk for Alzheimer disease (AD) for enrollment in AD prevention trials. Our objective was to examine whether abnormalities in neuroimaging measures of amyloid and neurodegeneration are correlated with odor identification (OI) in the population‐based Mayo Clinic Study of Aging. Methods Cognitively normal (CN) participants had olfactory function assessed using the Brief Smell Identification Test (B‐SIT), underwent magnetic resonance imaging (n = 829) to assess a composite AD signature cortical thickness and hippocampal volume (HVa), and underwent 11 C‐Pittsburgh compound B (n = 306) and 18 fluorodeoxyglucose (n = 305) positron emission tomography scanning to assess amyloid accumulation and brain hypometabolism, respectively. The association of neuroimaging biomarkers with OI was examined using multinomial logistic regression and simple linear regression models adjusted for potential confounders. Results Among 829 CN participants (mean age = 79.2 years; 51.5% men), 248 (29.9%) were normosmic and 78 (9.4%) had anosmia (B‐SIT score < 6). Abnormal AD signature cortical thickness and reduced HVa were associated with decreased OI as a continuous measure (slope = −0.43, 95% confidence interval [CI] = −0.76 to −0.09, p = 0.01 and slope = −0.72, 95% CI = −1.15 to −0.28, p < 0.01, respectively). Reduced HVa, decreased AD signature cortical thickness, and increased amyloid accumulation were significantly associated with increased odds of anosmia. Interpretation Our findings suggest that OI may be a noninvasive, inexpensive marker for risk stratification, for identifying participants at the preclinical stage of AD who may be at risk for cognitive impairment and eligible for inclusion in AD prevention clinical trials. These cross‐sectional findings remain to be validated prospectively. Ann Neurol 2017;81:871–882

AbstractAimsTo estimate the sex‐stratified prevalence and clustering of 14 behavioural and metabolic health risk factors in emerging adulthood.BackgroundThe high prevalence and the clustering of risk factors multiply health consequences and increase the threat to the future health and quality of life of young adults.DesignDescriptive cross‐sectional study.MethodsDuring November‐December 2012, we assessed 14 lifestyle characteristics of 1058 1st year university students’ that were classified as: healthy (score = 0), unhealthy (score = 1) and high‐risk unhealthy (score = 2). We subsequently created a Multiple Health Risk Behaviours Index by summing the score of each behaviour adjusted to 0‐100.ResultsOnly 0·3% of the students had one risk behaviour and 21·3% (male: 31·5%; female: 12·6%) had ≥10 of 14. Male students had higher risk index score. In adjusted regression analyses, female students had higher odds of reporting healthier behaviours in oral hygiene (tooth brushing), red meat and junk food consumption, binge drinking, cannabis/hashish/marijuana use and lower number of sexual partners and Body Mass Index. Male students reported higher physical activity. No statistically significant gender differences were noted for screen time/sedentary behaviours, condom use, smoking, sunburns, breakfast and fruit and vegetable consumption.ConclusionAlthough health‐compromising behaviours are highly prevalent in both men and women, they are gender‐related, with males engaging in more health risk behaviours than females. Preventive interventions may need to focus on gender‐informed approaches when targeting multiple health risk behaviours.

Objectives To determine the association between multiple chronic conditions and risk of incident mild cognitive impairment ( MCI ) and dementia. Design Prospective cohort study. Setting Olmsted County, Minnesota. Participants Cognitively normal individuals (N = 2,176) enrolled in the Mayo Clinic Study of Aging ( MCSA ). Measurements Participants were randomly selected from the community, evaluated by a physician, and underwent neuropsychometric testing at baseline and at 15‐month intervals to assess diagnoses of MCI and dementia. Information on International Classification of Diseases, Ninth Revision codes for chronic conditions in the 5 years before enrollment was electronically captured using the Rochester Epidemiology Project medical records linkage system. Multimorbidity was defined as having two or more chronic conditions, and the association between multimorbidity and MCI and dementia was examined using Cox proportional hazards models. Results Of 2,176 cognitively normal participants (mean age ± standard deviation 78.5 ± 5.2; 50.6% male), 1,884 (86.6%) had multimorbidity. The risk of MCI or dementia was higher in persons with multimorbidity (hazard ratio ( HR ) = 1.38, 95% confidence interval ( CI ) = 1.05–1.82) than in those with one or no chronic condition. The HR was of greater magnitude in persons with four or more conditions ( HR = 1.61, 95% CI = 1.21–2.13) than in those with two or three conditions ( HR = 1.03, 95% CI = 0.76–1.39) and for men with multimorbidity( HR = 1.53, 95% CI = 1.01–2.31) than for women with multimorbidity ( HR = 1.20, 95% CI = 0.83–1.74), compared to those with one or no chronic condition. Conclusion In older adults, having multiple chronic conditions is associated with greater risk of MCI and dementia. This is consistent with the hypothesis that multiple etiologies may contribute to MCI and late‐life dementia. Preventing chronic diseases may be beneficial in delaying or preventing MCI and dementia.