Suffolk University

About: Suffolk University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Sugar beet. The organization has 6462 authors who have published 9321 publications receiving 235328 citations.

Toward personalized cognitive diagnostics of at-genetic-risk Alzheimer’s disease

Abstract: Spatial navigation is emerging as a critical factor in identifying preclinical Alzheimer's disease (AD). However, the impact of interindividual navigation ability and demographic risk factors (e.g., APOE, age, and sex) on spatial navigation make it difficult to identify persons "at high risk" of AD in the preclinical stages. In the current study, we use spatial navigation big data (n = 27,108) from the Sea Hero Quest (SHQ) game to overcome these challenges by investigating whether big data can be used to benchmark a highly phenotyped healthy aging laboratory cohort into high- vs. low-risk persons based on their genetic (APOE) and demographic (sex, age, and educational attainment) risk factors. Our results replicate previous findings in APOE e4 carriers, indicative of grid cell coding errors in the entorhinal cortex, the initial brain region affected by AD pathophysiology. We also show that although baseline navigation ability differs between men and women, sex does not interact with the APOE genotype to influence the manifestation of AD-related spatial disturbance. Most importantly, we demonstrate that such high-risk preclinical cases can be reliably distinguished from low-risk participants using big-data spatial navigation benchmarks. By contrast, participants were undistinguishable on neuropsychological episodic memory tests. Taken together, we present evidence to suggest that, in the future, SHQ normative benchmark data can be used to more accurately classify spatial impairments in at-high-risk of AD healthy participants at a more individual level, therefore providing the steppingstone for individualized diagnostics and outcome measures of cognitive symptoms in preclinical AD.

Age related changes in biochemical markers of bone metabolism in horses

Abstract: Biochemical markers of bone metabolism were analysed in serum samples obtained from 60 horses with no history of orthopaedic disease (age 3 months-20 years). Serum levels of the carboxyterminal propeptide of type I procollagen (PICP), a marker of bone formation and the pyridinoline cross linked telopeptide domain of type I collagen (ICTP), a putative marker of bone resorption, were measured by radioimmunoassay (RIA). Serum levels of the bone specific isoenzyme of alkaline phosphatase (BALP), another marker of bone formation, were measured by a wheatgerm agglutinin affinity (WGA) method. Total alkaline phosphatase levels were also determined. Serum levels of PICP were significantly correlated with bone ALP (r = 0.78, P < 0.0001) and ICTP (r = 0.87, P < 0.0001). ICTP levels also correlated significantly with bone ALP (r = 0.81, P < 0.0001). However, total alkaline phosphatase did not correlate significantly with PICP, ICTP and BALP in horses over 1 year of age. There was an inverse correlation between serum levels of all biochemical markers and age of animals, with the most significant changes seen over the first 2 years. In animals less than 1 year of age, the reference ranges (mean +/- s.d. 1.96) were as follows: PICP 1216-2666 micrograms/l, ICTP 13.8-26.7 micrograms/l, bone ALP 134-288 u/l and total ALP 223-498 u/l. In 2-year-olds, the equivalent reference ranges were: PICP 550-1472 micrograms/l, ICTP 7.96-22.8 micrograms/l, bone ALP 32.7-125 u/l and total ALP 134-238 u/l.(ABSTRACT TRUNCATED AT 250 WORDS)

Motivations, emotions and satisfaction: the keys to a tourism destination choice

Abstract: A noticeable void remains in the appreciation of what motivates the senior tourism market. This study aims to contribute to the advancement of knowledge in the field of tourism consumer psychology by improving the existing understanding of the motivation and related psychological processes that underly intentions and decision-making in respect of tourist destinations. A model explaining the mediation role played by satisfaction in the relationship between motivation, emotion, and behavioural intentions is developed. A sample of 460 seniors visiting Lisbon is used, and through the application of structural equation modelling to the data obtained, it is found that satisfaction mediates the relationship between motivations and emotions, and behavioural intentions, simultaneously strengthening the positive association between push and pull motivations. Seniors’ previous experience is seen to moderate the positive effect of satisfaction on intention. Additionally, there is support for motivational differences, which have a significant impact on behavioural intentions, between younger (55–60 years) and older seniors (> 60 years). Finally, several academic and managerial implications are outlined, including the usefulness of the model developed in different geographical settings.