96 research outputs found
Diabetes mellitus type 2 in urban Ghana: characteristics and associated factors
BACKGROUND: Sub-Saharan Africa faces a rapid spread of diabetes mellitus type 2 (DM2) but its potentially specific characteristics are inadequately defined. In this hospital-based study in Kumasi, Ghana, we aimed at characterizing clinical, anthropometric, socio-economic, nutritional and behavioural parameters of DM2 patients and at identifying associated factors.
METHODS: Between August 2007 and June 2008, 1466 individuals were recruited from diabetes and hypertension clinics, outpatients, community, and hospital staff. Fasting plasma glucose (FPG), serum lipids and urinary albumin were measured. Physical examination, anthropometry, and interviews on medical history, socio-economic status (SES), physical activity and nutritional behaviour were performed.
RESULTS: The majority of the 675 DM2 patients (mean FPG, 8.31 mmol/L) was female (75%) and aged 40-60 years (mean, 55 years). DM2 was known in 97% of patients, almost all were on medication. Many had hypertension (63%) and microalbuminuria (43%); diabetic complications occurred in 20%. Overweight (body mass index > 25 kg/m2), increased body fat (> 20% (male), > 33% (female)), and central adiposity (waist-to-hip ratio > 0.90 (male), > 0.85 (female)) were frequent occurring in 53%, 56%, and 75%, respectively. Triglycerides were increased (≥ 1.695 mmol/L) in 31% and cholesterol (≥ 5.17 mmol/L) in 65%. Illiteracy (46%) was high and SES indicators generally low. Factors independently associated with DM2 included a diabetes family history (adjusted odds ratio (aOR), 3.8; 95% confidence interval (95%CI), 2.6-5.5), abdominal adiposity (aOR, 2.6; 95%CI, 1.8-3.9), increased triglycerides (aOR, 1.8; 95%CI, 1.1-3.0), and also several indicators of low SES.
CONCLUSIONS: In this study from urban Ghana, DM2 affects predominantly obese patients of rather low socio-economic status and frequently is accompanied by hypertension and hyperlipidaemia. Prevention and management need to account for a specific risk profile in this population
Searching for High-energy Neutrino Emission from Galaxy Clusters with IceCube
Galaxy clusters have the potential to accelerate cosmic rays (CRs) to ultrahigh energies via accretion shocks or embedded CR acceleration sites. The CRs with energies below the Hillas condition will be confined within the cluster and eventually interact with the intracluster medium gas to produce secondary neutrinos and gamma rays. Using 9.5 yr of muon neutrino track events from the IceCube Neutrino Observatory, we report the results of a stacking analysis of 1094 galaxy clusters with masses ≳10 M⊙ and redshifts between 0.01 and ∼1 detected by the Planck mission via the Sunyaev–Zel’dovich effect. We find no evidence for significant neutrino emission and report upper limits on the cumulative unresolved neutrino flux from massive galaxy clusters after accounting for the completeness of the catalog up to a redshift of 2, assuming three different weighting scenarios for the stacking and three different power-law spectra. Weighting the sources according to mass and distance, we set upper limits at a 90% confidence level that constrain the flux of neutrinos from massive galaxy clusters (≳10 M⊙) to be no more than 4.6% of the diffuse IceCube observations at 100 TeV, assuming an unbroken E− power-law spectrum
A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors
IceCube is a cubic-kilometer Cherenkov telescope operating at the South Pole.
The main goal of IceCube is the detection of astrophysical neutrinos and the
identification of their sources. High-energy muon neutrinos are observed via
the secondary muons produced in charge current interactions with nuclei in the
ice. Currently, the best performing muon track directional reconstruction is
based on a maximum likelihood method using the arrival time distribution of
Cherenkov photons registered by the experiment's photomultipliers. A known
systematic shortcoming of the prevailing method is to assume a continuous
energy loss along the muon track. However at energies TeV the light yield
from muons is dominated by stochastic showers. This paper discusses a
generalized ansatz where the expected arrival time distribution is parametrized
by a stochastic muon energy loss pattern. This more realistic parametrization
of the loss profile leads to an improvement of the muon angular resolution of
up to for through-going tracks and up to a factor 2 for starting tracks
over existing algorithms. Additionally, the procedure to estimate the
directional reconstruction uncertainty has been improved to be more robust
against numerical errors
Searches for Neutrinos from Gamma-Ray Bursts using the IceCube Neutrino Observatory
Gamma-ray bursts (GRBs) are considered as promising sources of
ultra-high-energy cosmic rays (UHECRs) due to their large power output.
Observing a neutrino flux from GRBs would offer evidence that GRBs are hadronic
accelerators of UHECRs. Previous IceCube analyses, which primarily focused on
neutrinos arriving in temporal coincidence with the prompt gamma rays, found no
significant neutrino excess. The four analyses presented in this paper extend
the region of interest to 14 days before and after the prompt phase, including
generic extended time windows and targeted precursor searches. GRBs were
selected between May 2011 and October 2018 to align with the data set of
candidate muon-neutrino events observed by IceCube. No evidence of correlation
between neutrino events and GRBs was found in these analyses. Limits are set to
constrain the contribution of the cosmic GRB population to the diffuse
astrophysical neutrino flux observed by IceCube. Prompt neutrino emission from
GRBs is limited to 1% of the observed diffuse neutrino flux, and
emission on timescales up to s is constrained to 24% of the total
diffuse flux
Observation of high-energy neutrinos from the Galactic plane
The origin of high-energy cosmic rays, atomic nuclei that continuously impact
Earth's atmosphere, has been a mystery for over a century. Due to deflection in
interstellar magnetic fields, cosmic rays from the Milky Way arrive at Earth
from random directions. However, near their sources and during propagation,
cosmic rays interact with matter and produce high-energy neutrinos. We search
for neutrino emission using machine learning techniques applied to ten years of
data from the IceCube Neutrino Observatory. We identify neutrino emission from
the Galactic plane at the 4.5 level of significance, by comparing
diffuse emission models to a background-only hypothesis. The signal is
consistent with modeled diffuse emission from the Galactic plane, but could
also arise from a population of unresolved point sources.Comment: Submitted on May 12th, 2022; Accepted on May 4th, 202
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