41 research outputs found

    Association between food addiction and time perspective during COVID-19 isolation

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    Purpose: The concept of time perspective (TP) implies that a mental focus on past, present, or future affect a person makes decisions and take action. Inability to plan their life for a sufficiently long time perspective due to the COVID-19 pandemic appeared to have a pronounced impact on a human’s lifestyle influencing their thoughts, feelings, and behaviors, including eating behavior. This study tested two hypotheses: (a) that during COVID-19 isolation, the incidence rate of food addiction is increased, and (b) people with present TP are more likely exhibited signs of food addiction (FA). Methods: The final study sample included 949 people, mean age 21.8 ± 7.8 years (range: 17–71 years, women: 78.3%). Each participant indicated their personal data and completed Yale Food Addiction Scale and the Zimbardo Time Perspective Inventory. Results: There was an increased incidence rate of FA (OR = 1.678, 95% CI = 1.324, 2.148, p = 0.000) during COVID-19 isolation. Individuals with balanced, future, and past positive TP were less likely to exhibit symptoms of FA. Persons with past negative, and present hedonistic TP were more likely to exhibit signs of FA. Conclusion: There was an increased incidence rate of FA during COVID-19 isolation. Persons with shortened time horizon are more likely to exhibit symptoms of FA. Level of evidence: Level V, cross-sectional descriptive study. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG

    Relationship of depressive disorders with hypertension, its control and other metabolic risk factors in the Tyumen Oblast population of men and women. Data from the study “Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation” (ESSE-RF)

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    Aim. To study the association between depression and metabolic cardiovascular risk factors, hypertension (HTN) and its control in a random sample of Tyumen Oblast population of men and women aged 25-64 years.Material and methods. The study object was a random sample of the population of the Tyumen and the Tyumen Oblast aged 25-64 years, examined as part of the ESSE-RF epidemiological study. The study included 1658 participants. Among them, 30,3% (n=503) were men, while 69,7% (n=1155) — women. Mean age was 48,9±11,4 years. The prevalence of metabolic risk factors (hyperlipidemia, carbohydrate metabolism disorder, obesity), hypertension and the likelihood of its control in men and women with different levels of depressive disorders diagnosed using the HADS scale were assessed.Results. Compared with participants without depression, persons with psychological disorders were significantly more likely to have HTN (55,5% vs 47,6%, p<0,01), elevated levels of total cholesterol (TC) (63,9% vs 54,0%, p<0,01) and low-density lipoproteins (LDL) (66,7% vs 60,3%, p<0,05), carbohydrate metabolism disorders (8,3% vs 5,2% p<0,05), obesity (49,2% vs 37,7%, p<0,01). Significantly more often hypertensive subjects without depression took antihypertensive drugs effectively (odds ratio (OR) — 1,747, 95% confidence interval (CI), 1,001-3,053) and controlled blood pressure (OR — 1,533, 95% CI, 1,05-2,36). There was no association between the use of antihypertensives and the level of depressive disorders. Among women with depression (HADS>7), dyslipidemia (65,5% vs 57,4% for TC, p<0,05; 71,0% vs 62,9% for LDL, p<0,05), carbohydrate metabolism disorders (10,1% vs 5,2%, p<0,01), obesity (53,3% vs 43,2%, p<0,01), HTN (60,6% vs 45,6%, p<0,01) were more common. Men with clinical depression were more likely to have HTN (69,0% vs 47,7%, p<0,05), with a high level of depression — hyperlipidemia (58,9% vs 46,7% for TC, p<0,05; 67,1% vs 53,9% for LDL, p<0,05). Women with elevated depression levels were less likely to take antihypertensive drugs (30% vs 49,4%, p<0,01) and control hypertension (13,8% vs 21,2%, p<0,05).Conclusion. The data obtained confirm the association of depressive disorders with metabolic risk factors and the likelihood of HTN control, which is especially significant among women

    Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm

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    Measurement of the Positive Muon Anomalous Magnetic Moment to 0.20 ppm

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    We present a new measurement of the positive muon magnetic anomaly, a_{ÎŒ}≡(g_{ÎŒ}-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, ω[over ˜]_{p}^{'}, and of the anomalous precession frequency corrected for beam dynamics effects, ω_{a}. From the ratio ω_{a}/ω[over ˜]_{p}^{'}, together with precisely determined external parameters, we determine a_{ÎŒ}=116 592 057(25)×10^{-11} (0.21 ppm). Combining this result with our previous result from the 2018 data, we obtain a_{ÎŒ}(FNAL)=116 592 055(24)×10^{-11} (0.20 ppm). The new experimental world average is a_{ÎŒ}(exp)=116 592 059(22)×10^{-11} (0.19 ppm), which represents a factor of 2 improvement in precision

    Measurement of the positive muon anomalous magnetic moment to 0.20 ppm

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    Beam dynamics corrections to the Run-1 measurement of the muon anomalous magnetic moment at Fermilab

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    This paper presents the beam dynamics systematic corrections and their uncertainties for the Run-1 data set of the Fermilab Muon g-2 Experiment. Two corrections to the measured muon precession frequency ωam\omega_a^m are associated with well-known effects owing to the use of electrostatic quadrupole (ESQ) vertical focusing in the storage ring. An average vertically oriented motional magnetic field is felt by relativistic muons passing transversely through the radial electric field components created by the ESQ system. The correction depends on the stored momentum distribution and the tunes of the ring, which has relatively weak vertical focusing. Vertical betatron motions imply that the muons do not orbit the ring in a plane exactly orthogonal to the vertical magnetic field direction. A correction is necessary to account for an average pitch angle associated with their trajectories. A third small correction is necessary because muons that escape the ring during the storage time are slightly biased in initial spin phase compared to the parent distribution. Finally, because two high-voltage resistors in the ESQ network had longer than designed RC time constants, the vertical and horizontal centroids and envelopes of the stored muon beam drifted slightly, but coherently, during each storage ring fill. This led to the discovery of an important phase-acceptance relationship that requires a correction. The sum of the corrections to ωam\omega_a^m is 0.50 ±\pm 0.09 ppm; the uncertainty is small compared to the 0.43 ppm statistical precision of ωam\omega_a^m

    Magnetic Field Measurement and Analysis for the Muon g-2 Experiment at Fermilab

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    The Fermi National Accelerator Laboratory has measured the anomalous precession frequency aÎŒ=(gΌ−2)/2a^{}_\mu = (g^{}_\mu-2)/2 of the muon to a combined precision of 0.46 parts per million with data collected during its first physics run in 2018. This paper documents the measurement of the magnetic field in the muon storage ring. The magnetic field is monitored by nuclear magnetic resonance systems and calibrated in terms of the equivalent proton spin precession frequency in a spherical water sample at 34.7∘^\circC. The measured field is weighted by the muon distribution resulting in ω~pâ€Č\tilde{\omega}'^{}_p, the denominator in the ratio ωa\omega^{}_a/ω~pâ€Č\tilde{\omega}'^{}_p that together with known fundamental constants yields aÎŒa^{}_\mu. The reported uncertainty on ω~pâ€Č\tilde{\omega}'^{}_p for the Run-1 data set is 114 ppb consisting of uncertainty contributions from frequency extraction, calibration, mapping, tracking, and averaging of 56 ppb, and contributions from fast transient fields of 99 ppb

    Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm

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    We present the first results of the Fermilab Muon g-2 Experiment for the positive muon magnetic anomaly aÎŒâ‰Ą(gΌ−2)/2a_\mu \equiv (g_\mu-2)/2. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency ωa\omega_a between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ω~pâ€Č{\tilde{\omega}'^{}_p} in a spherical water sample at 34.7∘^{\circ}C. The ratio ωa/ω~pâ€Č\omega_a / {\tilde{\omega}'^{}_p}, together with known fundamental constants, determines aÎŒ(FNAL)=116 592 040(54)×10−11a_\mu({\rm FNAL}) = 116\,592\,040(54)\times 10^{-11} (0.46\,ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both ÎŒ+\mu^+ and Ό−\mu^-, the new experimental average of aÎŒ(Exp)=116 592 061(41)×10−11a_\mu({\rm Exp}) = 116\,592\,061(41)\times 10^{-11} (0.35\,ppm) increases the tension between experiment and theory to 4.2 standard deviationsComment: 10 pages; 4 figure

    Measurement of the anomalous precession frequency of the muon in the Fermilab Muon g-2 Experiment

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    The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency ωa\omega_a to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment's muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of aÎŒ(FNAL)=116 592 040(54)×10−11a_{\mu}({\rm FNAL}) = 116\,592\,040(54) \times 10^{-11} (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis and fitting of the data to measure the precession frequency. It also presents the averaging of the results from the eleven separate determinations of \omega_a, and the systematic uncertainties on the result.Comment: 29 pages, 19 figures. Published in Physical Review
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