12 research outputs found
Seasonal variation of diet quality in a large middle-aged and elderly Dutch population-based cohort
Purpose Several studies have reported seasonal variation in intake of food groups and certain nutrients. However, whether this could lead to a seasonal pattern of diet quality has not been addressed. We aimed to describe the seasonality of diet quality, and to examine the contribution of the food groups included in the dietary guidelines to this seasonality. Methods Among 9701 middle-aged and elderly participants of the Rotterdam Study, a prospective population-based cohort, diet was assessed using food-frequency questionnaires (FFQ). Diet quality was measured as adherence to the Dutch dietary guidelines, and expressed in a diet quality score ranging from 0 to 14 points. The seasonality of diet quality and of the food group intake was examined using cosinor linear mixed models. Models were adjusted for sex, age, cohort, energy intake, physical activity, body mass index, comorbidities, and education. Results Diet quality had a seasonal pattern with a winter-peak (seasonal variation = 0.10 points, December-peak) especially among participants who were men, obese and of high socio-economic level. This pattern was mostly explained by the seasonal variation in the intake of legumes (seasonal variation = 3.52 g/day, December-peak), nuts (seasonal variation = 0.78 g/day, January-peak), sugar-containing beverages (seasonal variation = 12.96 milliliters/day, June-peak), and dairy (seasonal variation = 17.52 g/day, June-peak). Conclusions Diet quality varies seasonally with heterogeneous seasonality of food groups counteractively contributing to the seasonal pattern in diet quality. This seasonality should be considered in future research on dietary behavior. Also, season-specific recommendations and policies are required to improve diet quality throughout the year.Prevention, Population and Disease management (PrePoD)Public Health and primary car
Vertebrobasilar artery calcification: Prevalence and risk factors in the general population
Background and aims: Arteriosclerosis in the vertebrobasilar arteries may play an important role in the etiology
of posterior circulation strokes, but little is known on its prevalence, its correlation with arteriosclerosis in other
major arteries, and its risk factors. Hence, we investigated these aspects of vertebrobasilar artery calcification
(VBAC) as marker of vertebrobasilar arteriosclerosis.
Methods: To quantify VBAC, 2483 participants (mean age: 69.2 years, 52% female) from the Rotterdam Study
underwent non-enhanced computed tomography. We determined the presence and volume of VBAC. Next, using
Spearman's rank correlation, we examined the correlation between the volume of VBAC and the volume of
coronary artery calcification (CAC), aortic arch calcification (AAC), and both extracranial- (ECAC), and intracranial carotid artery calcification (ICAC). Finally, we investigated associations of cardiovascular risk factors
with the presence and volume of VBAC using logistic and linear regression models.
Results: The overall prevalence of VBAC was 21.0% (median volume: 7.3 mm3 [IQR: 2.0–25.6]). Correlations
between VBAC and CAC, AAC, ECAC, and ICAC were weak to moderate (men: 0.33, 0.28, 0.30, 0.36; women:
0.26, 0.24, 0.24, 0.35, respectively). Hypertension, diabetes, and current smoking were associated with the
presence of VBAC in both sexes (men: OR 1.67 [95%-CI, 1.14–2.46], 1.60 [95%-CI, 1.10–2.34], 1.48 [95%-CI,
1.02–2.14]; women: OR 1.51 [95%-CI, 1.01–2.26], 1.56 [95%-CI, 1.02–2.39], 1.53 [95%CI, 1.00–2.33], respectively). In men, obesity was also associated with VBAC (1.42 [95%-CI, 1.00–2.02]).
Conclusions: VBAC occurs in over 20% of elderly community dwelling persons. Cardiovascular risk factors are
associated with VBAC with similar patterns for men and women
Kwaliteitsverbetering van baggerspecie op basis van extensieve biorestauratie in combinatie met energieteelt
Analysis of the Kirk effect in silicon-based bipolar transistors with a nonuniform collector profile
In this paper, the Kirk effect has been analyzed for silicon-based bipolar transistors (BJTs) with a nonuniform collector profile. We show that, for any arbitrary collector doping profile, the Kirk effect starts when the electron concentration equals the average doping concentration in the depletion region. We present a basic guideline for determining the collector current density at the onset of Kirk effect (JK/) for any collector doping profile and simple expressions for JK and the electrical field in the collector drift region for the case of a linearly graded collector drift region. These analytical expressions are verified with device simulations. The Kirk effect for this kind of transistor is substantially different from that presented previously for transistors having a uniform collector drift region. For example, the possibility of the onset of the Kirk effect in a partially depleted collector occurs, while in a uniform collector profile the effect can only occur in a fully depleted collector. Our expressions can be used to do approximate analytical calculations for optimizing future BJTs
Initiation of finite cracks in non-positive geometries.
Background: Atherosclerosis and cancer share multiple disease pathways. Yet, it
is unclear if atherosclerosis is associated with a subsequent higher cancer risk. We
determined the association of atherosclerotic calcification in the aortic arch, as proxy
for systemic atherosclerosis, with the risk of cancer.
Methods: Between 2003 and 2006, 2,404 participants (mean age: 69.5 years, 52.5%
women) from the prospective population-based Rotterdam Study underwent computed
tomography to quantify calcification in the aortic arch. Participants were followed for the
onset of cancer, death, loss to follow-up, or January 1st, 2015, whichever came first. We
computed sex-specific tertiles of aortic arch calcification volumes. Next, we examined
the association between the volume and severity (i.e., tertiles) of aortic arch calcification
and the risk of cancer using Cox proportional hazard models.
Results: During a median (interquartile range) follow-up of 9.6 years (8.9–10.5), 348
participants were diagnosed with cancer. Participants with the greatest severity of aortic
arch calcification had a higher risk of cancer [hazard ratio for the third tertile compared
to the first tertile of aortic arch calcification volume in the total population is 1.39 (95% CI
= 1.04–1.86)].
Conclusions: Individuals with the most severe aortic arch calcification had a higher risk
of cancer. While this could reflect the impact of long-term exposure to shared risk factors,
it might also point toward the co-occurrence of both conditions
Kwaliteitsverbetering van baggerspecie op basis van extensieve biorestauratie in combinatie met energieteelt
Author Correction: A consensus protocol for functional connectivity analysis in the rat brain.
A consensus protocol for functional connectivity analysis in the rat brain
Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience