体智锻炼在全麻史与轻度认知功能障碍关联中的作用

目的探讨老年人全麻史与轻度认知障碍（MCI）患病的关联性，并分析体智锻炼对这一关联性的影响，为早期预防和及时干预MCI提供新思路。方法基于湖北老年记忆队列的基线调查（2018-2023年），老年人完成整套神经心理评估及体格检查，自我报告全麻和手术史；使用logistic回归模型分析老年人全麻与MCI的关联性，此外，分别进行了麻醉史、麻醉次数与体智锻炼的分层及交互作用分析。结果本研究共纳入5 069名65岁及以上老年人，其中农村1 377人（27.1%），女性2 584名（51%），有全麻者1 427人（28.1%），249人（17.4%）患有MCI；在控制了混杂因素后，相较于无全麻史的老年人，做过全麻手术的老年人患MCI风险增加39.6%［OR=1.396，95%CI （1.169，1.668），P<0.001］，提示全麻可能是MCI的影响因素。做过一次全麻的老年人［OR=1.235，95%CI（1.001，1.523），P=0.049］、两次全麻的老年人［OR=1.779，95%CI （1.292，2.450），P<0.001］和三次及以上的老年人［OR=2.395，95%CI （1.589，3.610），P<0.001］患MCI的风险分别增加23.5%、77.9%和139.5%。以无全麻史的老年人无锻炼组为对照，体育锻炼组、智力锻炼组、和体智联合锻炼组与MCI的患病风险呈显著负相关（均有P<0.001），其中体育锻炼组患MCI的风险是无锻炼组组的0.602倍［OR=0.602，95%CI （0.456，0.795）］，智力锻炼组是无锻炼组的0.424倍［OR = 0.424，95% CI （0.294，0.613）］，体智联合锻炼组是无锻炼组的0.270倍［OR = 0.270，95% CI （0.208，0.353）］；而在有全麻史的老年人中，与无锻炼组相比，智力锻炼、体智联合锻炼组与MCI的患病风险呈显著负相关（均有P<0.05），其中智力锻炼组患MCI的风险是无锻炼组的0.477倍［OR = 0.477，95% CI （0.256，0.892）］，体智联合锻炼组是无锻炼组的0.345倍［OR = 0.345，95% CI （0.220，0.540）］，而仅体育锻炼组的患病风险不具有显著性差异。结论有全麻史的老年人患MCI风险显著上升，且这种风险随着麻醉次数的增加而逐渐增加。体智联合锻炼降低了MCI发生风险，建议有麻醉史老人将体智联合锻炼纳入日常生活以预防轻度认知障碍

A database of rural children's mental health and its influencing factors

摘要:随着城市化进程加速，城市和农村在教育资源上的差距逐渐增大，乡村儿童的健康成长需要更多地关注与重视。为了深入了解乡村儿童的心理健康状况及其影响因素，本研究在2021年面向7个省份共16所乡村小学开展《小学生生活状况调查》，共收回2498份有效问卷。调查结果发现，乡村儿童的抑郁风险检出率为24.49%，有25.72%的乡村儿童报告中度或重度焦虑症状。本数据集应用范围广泛，可采用多种统计分析软件及方法进行深入数据挖掘。通过对本数据集的分析，研究结果能够为科研人员或政策制定者提供实证数据参考，有助于推动后续的研究开展以及构建乡村儿童心理健康评价与服务体系。</p

Measurement of integrated luminosity of data collected at 3.773 GeV by BESIII from 2021 to 2024

We present a measurement of the integrated luminosity e+e- of collision data collected by the BESIII detector at the BEPCII collider at a center-of-mass energy of Ecm = 3.773 GeV. The integrated luminosities of the datasets taken from December 2021 to June 2022, from November 2022 to June 2023, and from October 2023 to February 2024 were determined to be 4.995±0.019 fb-1, 8.157±0.031 fb-1, and 4.191±0.016 fb-1, respectively, by analyzing large angle Bhabha scattering events. The uncertainties are dominated by systematic effects, and the statistical uncertainties are negligible. Our results provide essential input for future analyses and precision measurements

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^