Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies

The impact of body mass index (BMI; kg/m2) and waist circumference (WC) on mortality in elderly individuals is controversial and previous research has largely focused on obesity. With special attention to the lower BMI categories, associations between BMI and both total and cause-specific mortality were explored in 7604 men and 9107 women aged ≥65 years who participated in the Tromsø Study (1994–1995) or the North-Trøndelag Health Study (1995–1997). A Cox proportional hazards model adjusted for age, marital status, education and smoking was used to estimate HRs for mortality in different BMI categories using the BMI range of 25–27.5 as a reference. The impact of each 2.5 kg/m2 difference in BMI on mortality in individuals with BMI<25.0 and BMI≥25.0 was also explored. Furthermore, the relations between WC and mortality were assessed. We identified 7474 deaths during a mean follow-up of 9.3 years. The lowest mortality was found in the BMI range 25–29.9 and 25–32.4 in men and women, respectively. Mortality was increased in all BMI categories below 25 and was moderately increased in obese individuals. U-shaped relationships were also found between WC and total mortality. About 40% of the excess mortality in the lower BMI range in men was explained by mortality from respiratory diseases. BMI below 25 in elderly men and women was associated with increased mortality. A modest increase in mortality was found with increasing BMI among obese men and women. Overweight individuals (BMI 25–29.9) had the lowest mortality

Risk of malnutrition and health-related quality of life in community-living elderly men and women: The Tromsø study

Purpose To explore the association between risk of malnutrition as well as current body mass index (BMI) and health-related quality of life (HRQoL) in elderly men and women from the general population. Methods In a cross-sectional population survey including 1,632 men and 1,654 women aged 65 to 87 years from the municipality of Tromsø, Norway, we assessed HRQoL by using the EuroQol (EQ-5D) instrument in three risk groups of malnutrition and in different categories of BMI. The Malnutrition Universal Screening Tool (‘MUST’) was used to evaluate the risk of malnutrition. Results We found a significant reduction in HRQoL with an increasing risk of malnutrition, and this was more pronounced in men than in women. The relationship between BMI and HRQoL was dome shaped, with the highest score values in the BMI category being 25–27.5 kg/m2. Conclusions HRQoL was significantly reduced in elderly men and women at risk of malnutrition. The highest HRQoL was seen in moderately overweight individuals

Risk of malnutrition is associated with mental health symptoms in community living elderly men and women: The Tromsø Study

<p>Abstract</p> <p>Background</p> <p>Little research has been done on the relationship between malnutrition and mental health in community living elderly individuals. In the present study, we aimed to assess the associations between mental health (particularly anxiety and depression) and both the risk of malnutrition and body mass index (BMI, kg/m²) in a large sample of elderly men and women from Tromsø, Norway.</p> <p>Methods</p> <p>In a cross-sectional survey, with 1558 men and 1553 women aged 65 to 87 years, the risk of malnutrition was assessed by the Malnutrition Universal Screening Tool ('MUST'), and mental health was measured by the Symptoms Check List 10 (SCL-10). BMI was categorised into six groups (< 20.0, 20.0-22.4, 22.5-24.9, 25.0-27.4, 27.5-29.9, ≥ 30.0 kg/m²).</p> <p>Results</p> <p>The risk of malnutrition (combining medium and high risk) was found in 5.6% of the men and 8.6% of the women. Significant mental health symptoms were reported by 3.9% of the men and 9.1% of the women. In a model adjusted for age, marital status, smoking and education, significant mental health symptoms (SCL-10 score ≥ 1.85) were positively associated with the risk of malnutrition (odds ratio 3.9 [95% CI 1.7-8.6] in men and 2.5 [95%CI 1.3-4.9] in women), the association was positive also for subthreshold mental health symptoms. For individuals with BMI < 20.0 the adjusted odds ratio for significant mental health symptoms was 2.0 [95% CI 1.0-4.0].</p> <p>Conclusions</p> <p>Impaired mental health was strongly associated with the risk of malnutrition in community living elderly men and women and this association was also significant for subthreshold mental health symptoms.</p

ALSIM Proposal for an ALICE DAQ Modelling and Simulation Project

This proposal describes the development of a simulation environment ALSIM for the ALICE DAQ system. The DAQ architecture will be modelled and simulated in order to provide information on the behaviour of the system as well as requirements for topology, technology, link bandwidth, etc

Risk of malnutrition and zinc deficiency in community-living elderly men and women: the Tromsø Study

Early vie

Reference Manual and User's Manual for ALICE DAQ Modelling and Simulation

This manual describes the details of a simulation environment ALSIM for the ALICE DAQ system. It could be served as the reference manual as well as the user's manual

Simulation of Central and Dimuon Events in the ALICE DAQ System.

The Heavy Ion Experiment ALICE is one of the three future experiments in the LHC at CERN. At the ALICE experiment, the detectors will produce two different kinds of data flow simultaneously: very large events (up to 39 Mbyte) at a low rate (40 Hz) and small events (up to 0.25 MByte) at a high rate (up to 1000 Hz). There will be two types of the large events (Central events and Minimum Bias events), whose combined data traffic corresponds to events of up to 40 MByte at 50 Hz event rate, and referred to as central events. The small events are called dimuon events [1]. Previously we have carried out simulations to see how the system performances will vary if one of the basic input parameters is changed, provided that only central events are generated [2]. In this paper we present simulation results when both kinds of events are generated at the same time. The simulation results will show the limits of the data acquisition system, i.e. the input parameter values at which the system is still in equilibrium and the global input data rate just does not exceed the global output data rate. The graphs presented in this paper will probably help to find an optimal parameter set for the DAQ system. We used a simplified version of the simulator program ALSIM [3] which is written in MODSIM II language [4]. In the subsequent chapters, first we describe the simulation setup with the default values of the input parameters, then we present the simulation results, and finally we give a brief summary of the results

Body mass index and mortality in elderly men and women: the Tromsø and HUNT studies

BACKGROUND: The impact of body mass index (BMI; kg/m(2)) and waist circumference (WC) on mortality in elderly individuals is controversial and previous research has largely focused on obesity. METHODS: With special attention to the lower BMI categories, associations between BMI and both total and cause-specific mortality were explored in 7604 men and 9107 women aged ≥ 65 years who participated in the Tromsø Study (1994-1995) or the North-Trøndelag Health Study (1995-1997). A Cox proportional hazards model adjusted for age, marital status, education and smoking was used to estimate HRs for mortality in different BMI categories using the BMI range of 25-27.5 as a reference. The impact of each 2.5 kg/m(2) difference in BMI on mortality in individuals with BMI < 25.0 and BMI ≥ 25.0 was also explored. Furthermore, the relations between WC and mortality were assessed. RESULTS: We identified 7474 deaths during a mean follow-up of 9.3 years. The lowest mortality was found in the BMI range 25-29.9 and 25-32.4 in men and women, respectively. Mortality was increased in all BMI categories below 25 and was moderately increased in obese individuals. U-shaped relationships were also found between WC and total mortality. About 40% of the excess mortality in the lower BMI range in men was explained by mortality from respiratory diseases. CONCLUSIONS: BMI below 25 in elderly men and women was associated with increased mortality. A modest increase in mortality was found with increasing BMI among obese men and women. Overweight individuals (BMI 25-29.9) had the lowest mortality

Simulation of the ALICE DAQ System

performance simulations