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The Rotterdam Scan Study: design update 2016 and main findings.

ABSTRACT: Imaging plays an essential role in research on neurological diseases in the elderly. The Rotterdam Scan Study was initiated as part of the ongoing Rotterdam Study with the aim to elucidate the causes of neurological disease by performing imaging of the brain in a prospective population-based setting. Initially, in 1995 and 1999, random subsamples of participants from the Rotterdam Study underwent neuroimaging, whereas from 2005 onwards MRI has been implemented into the core protocol of the Rotterdam Study. In this paper, we discuss the background and rationale of the Rotterdam Scan Study. Moreover, we describe the imaging protocol, image post-processing techniques, and the main findings to date. Finally, we provide recommendations for future research, which will also be topics of investigation in the Rotterdam Scan Study.

SUBMITTER: Ikram MA

PROVIDER: S-EPMC4690838 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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The Rotterdam Scan Study: design update 2016 and main findings.

Ikram M Arfan MA van der Lugt Aad A Niessen Wiro J WJ Koudstaal Peter J PJ Krestin Gabriel P GP Hofman Albert A Bos Daniel D Vernooij Meike W MW

European journal of epidemiology 20151209 12

Imaging plays an essential role in research on neurological diseases in the elderly. The Rotterdam Scan Study was initiated as part of the ongoing Rotterdam Study with the aim to elucidate the causes of neurological disease by performing imaging of the brain in a prospective population-based setting. Initially, in 1995 and 1999, random subsamples of participants from the Rotterdam Study underwent neuroimaging, whereas from 2005 onwards MRI has been implemented into the core protocol of the Rotte ...[more]

PMID: 26650042

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Project description:ImportanceCardiovascular disease (CVD) remains the top cause of death in China. To our knowledge, no consistent and comparable assessments of CVD burden have been produced at subnational levels, and little is understood about the spatial patterns and temporal trends of CVD in China.ObjectiveTo determine the national and province-level burden of CVD from 1990 to 2016 in China.Design, setting, and participantsFollowing the methodology framework and analytical strategies used in the 2016 Global Burden of Disease study, the mortality, prevalence, and disability-adjusted life-years (DALYs) of CVD in the Chinese population were examined by age, sex, and year and according to 10 subcategories. Estimates were produced for all province-level administrative units of mainland China, Hong Kong, and Macao.ExposuresResidence in China.Main outcomes and measuresMortality, prevalence, and DALYs of CVD.ResultsThe annual number of deaths owing to CVD increased from 2.51 million to 3.97 million between 1990 and 2016; the age-standardized mortality rate fell by 28.7%, from 431.6 per 100 000 persons in 1990 to 307.9 per 100 000 in 2016. Prevalent cases of CVD doubled since 1990, reaching nearly 94 million in 2016. The age-standardized prevalence rate of CVD overall increased significantly from 1990 to 2016 by 14.7%, as did rates for ischemic heart disease (19.1%), ischemic stroke (36.6%), cardiomyopathy and myocarditis (23.1%), and endocarditis (26.7%). Substantial reduction in the CVD burden, as measured by age-standardized DALY rate, was observed from 1990 to 2016 nationally, with a greater reduction in women (43.7%) than men (24.7%). There were marked differences in the spatial patterns of mortality, prevalence, and DALYs of CVD overall as well as its main subcategories, including ischemic heart disease, hemorrhagic stroke, and ischemic stroke. The CVD burden appeared to be lower in coastal provinces with higher economic development. The between-province gap in relative burden of CVD increased from 1990 to 2016, with faster decline in economically developed provinces.Conclusions and relevanceSubstantial discrepancies in the total CVD burden and burdens of CVD subcategories have persisted between provinces in China despite a relative decrease in the CVD burden. Geographically targeted considerations are needed to tailor future strategies to enhance CVD health throughout China and in specific provinces.

Project description:The gene SMART (genes and the Skeletal Muscle Adaptive Response to Training) Study aims to identify genetic variants that predict the response to both a single session of High-Intensity Interval Exercise (HIIE) and to four weeks of High-Intensity Interval Training (HIIT). While the training and testing centre is located at Victoria University, Melbourne, three other centres have been launched at Bond University, Queensland University of Technology, Australia, and the University of Brighton, UK. Currently 39 participants have already completed the study and the overall aim is to recruit 200 moderately-trained, healthy Caucasians participants (all males 18-45 y, BMI < 30). Participants will undergo exercise testing and exercise training by an identical exercise program. Dietary habits will be assessed by questionnaire and dietitian consultation. Activity history is assessed by questionnaire and current activity level is assessed by an activity monitor. Skeletal muscle biopsies and blood samples will be collected before, immediately after and 3 h post HIIE, with the fourth resting biopsy and blood sample taken after four weeks of supervised HIIT (3 training sessions per week). Each session consists of eight to fourteen 2-min intervals performed at the pre-training lactate threshold (LT) power plus 40 to 70% of the difference between pre-training lactate threshold (LT) and peak aerobic power (Wpeak). A number of muscle and blood analyses will be performed, including (but not limited to) genotyping, mitochondrial respiration, transcriptomics, protein expression analyses, and enzyme activity. The participants serve as their own controls. Even though the gene SMART study is tightly controlled, our preliminary findings still indicate considerable individual variability in both performance (in-vivo) and muscle (in-situ) adaptations to similar training. More participants are required to allow us to better investigate potential underlying genetic and molecular mechanisms responsible for this individual variability.

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The Rotterdam Scan Study: design update 2016 and main findings.

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The Rotterdam Scan Study: design update 2016 and main findings.

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