Analysis on Influential Factors of the Preference for Old-age Support among Elder People in Urban and Rural Areas of Xiamen

目的研究城乡老年人养老意愿的影响因素,为优化配置养老资源和提高老年人生活质量提供依据。方法采用多阶段抽样方法对厦门市60岁以上常住老年人进行问卷; 调查,采用多分类logistic回归分析城乡老年人养老意愿影响因素。结果有效调查问卷城区652份、农村622份。城、乡老年人选择家庭养老、社区居; 家养老、机构养老和暂未考虑比例分别为67.5%、18.6%、12.7%、1.2%和71.1%、23.1%、4.7%、1.1%,差异有统计学意义(; P <0.05),且城乡老年人在文化程度、患慢性病、子女是否提供养老费、退休金以及距最近医疗单位的距离等方面分布差异也有统计学意义(P; <0.05)。以家庭养老为参照,城乡,年龄大于80岁者更倾向于机构养老(城、乡的OR(95% CI)分别为3.84(1.845; ~7.99)和3.64(1.07 ~12.47)),距最近医疗单位较远者倾向于社区居家养老(城、乡的OR(95% CI)分别为1.73(1.04; ~2.86)和2.12(1.31; ~3.42))。但城区老年人文化程度较高、退休金较多和子女有提供养老费者更愿意选择非家庭养老,而农村在婚老年人倾向于选择机构养老。结论城乡老年人; 养老意愿均以家庭养老为主,但农村老年人更倾向于社区居家养老,城区老年人更倾向于机构养老,城乡间的经济、文化差异是造成这种差异的主要原因。建议除强; 化家庭养老的功能外,应针对城乡差异合理配置城乡养老资源。Objective To study the influential factors about the preference for; old-age support among the urban and rural elder people,and provide; theoretical basis for optimum allocation of supporting resources along; with greater improvement of life quality for the aged. Methods Based on; the multi-stage sampling method,a survey was conducted among senior; residents older than 60 years old in Xiamen by means of questionnaire.; Chi-square test was used to compare the differences of basic information; between the elderly who lived in the urban and rural areas while; multinomial logistic regression played a role in analyzing the factors; which influenced the old people,s preference for old-age support.; Results 1274 valid questionnaires were obtained, including 652 from; urban and 622 from rural areas. The percentage of elderly people who; would like to live with family support, community-based support at; home,organization support or choice not-considered were 67. 5%,18.; 6%,12. 7% and 1. 2% in urban areas,and as for the countryside those were; 71. 1%,23. 1%,4. 7% and 1. 1%,which were statistically significant (P <; 0. 05). The differences between urban and rural old people were also; statistically significant on the aspects of their education levels,; condition of chronic diseases,pension costs from children,retirement; pension,distance from the nearest medical unit (P < 0. 05). To take; family support as reference,no matter in urban and rural areas,the; elderly older than 80 years old were more likely to choose organization; support;and people who lived far away from the nearest medical unit; would prefer community-based support at home. However,the urban old-aged; with higher education levels,more retirement pension and who got pension; from children were more likely to live without family support,while; rural old people who got married preferred organization support.; Conclusion Family support was the main choice for the elderly from both; urban and rural areas. However,the aging in countryside preferred; community-based support at home and urban old people tended to choose; organization support. The difference of local economy and culture; between urban and rural areas was the key reason. Therefore,apart from; strengthening the function of family support,pension resources should be; appropriately allocated aimed at those differences between urban and; rural areas.国家自然科学基金项目; 厦门大学大学生创新训练项

Influencing Factors on Elders Preference for Supporting: Application of an adaptive LASSO logistic Model

目的探讨adaptive LASSO; logistic回归模型在老年人养老意愿影响因素研究中的应用。方法基于厦门市60岁及以上老年人口的多阶段整群抽样调查数据,建立老年人养老意愿影响; 因素的adaptive LASSO; logistic回归模型,通过交叉验证法选择模型中的调和参数lambda;通过与全变量和逐步logistic回归结果的比较,探讨adaptive; LASSO; logistic回归模型的优势。结果共纳入1244名老年人,其养老意愿为家庭养老、社区居家养老和机构养老的比例分别为70.0%、21.1%和8.; 9%。交叉验证法选择的lambda为0.018;此时adaptive LASSO; logistic回归模型纳入的自变量为居住地、年龄、婚姻状况、文化程度、子女数、每月退休金收入、公费医疗和住院情况;; BIC和AIC分别为1931、1888,均低于全变量logistic回归(2077、1923)和逐步logistic回归(2025、1912); 。结论adaptive LASSO logistic回归模型可用于老年人养老意愿影响因素研究。老年人的养老意愿受多个因素影响。Objective This study was aimed to analyze influencing factors on elders; preference for supporting in case to provide evidence for diversified; elderly supporting. Methods This article applied an adaptive LASSO; logistic model to the multi-stage cluster sampling data of the; population aged 60 or older in Xiamen to analyze influencing factors on; elders preference for supporting. Cross validation method was used to; choose lambda for adaptive LASSO logistic model. In addition,we; evaluated the model fitting of adaptive LASSO logistic model by; comparing the BIC and AIC with full logistic model and stepwise logistic; model. Results The cross validation method resulted in lambda = 0.018; for adaptive LASSO logistic model, in which variables retained were; residence, age,marital status, education level,number of children, the; monthly pension income,medical insurance and hospitalization. BIC of; adaptive LASSO logistic model,full logistic model and stepwise logistic; model were 1931, 2077and 2025 respectively. And AIC of the three models; were 1888, 1923 and 1912 respectively. Conclusion Compared to full; logistic model and stepwise logistic model, adaptive LASSO logistic; model was the best fitting model for influencing factors on elders; preference for supporting. Adaptive LASSO logistic model could be used; to analyze influencing factors on elders preference for supporting.; There were multiple factors which influenced elders preference for; supporting.厦门大学大学生创新创业训练计划项

前胡甲素对小鼠局灶性脑缺血的保护作用

目的观察前胡甲素(Pd-Ia)对小鼠局灶性脑缺血损伤的保护作用及特点。方法线栓法制备小鼠大脑中动脉栓塞脑缺血损伤模型。Pd-Ia(1,5,10mg/kg)在缺血前0.5h腹腔给药1次;或在缺血前1,0.5h、缺血同时、再灌注同时、再灌后0.5h及再灌后1h各腹腔给予Pd-Ia5mg/kg。脑缺血1.5h,再灌注24h后,测定小鼠神经功能缺失评分、脑梗死体积、脑水肿等评定脑缺血损伤的指标;测定血清中丙二醛(MDA)和超氧化物岐化酶(SOD)的活性。结果Pd-Ia(5,10mg/kg)缺血前0.5h给药及Pd-Ia5mg/kg缺血前0.5h、缺血同时、再灌注同时及再灌后0.5h给药可明显改善小鼠神经功能损伤,减小脑梗死体积和减轻脑水肿程度,且以再灌注同时单次给药效果最为显著;Pd-Ia(5,10mg/kg)能够明显提高脑缺血损伤小鼠血清中SOD活性,降低MDA含量。结论Pd-Ia保护小鼠局灶性脑缺血急性损伤,最佳剂量为5mg/kg,最佳治疗时间点为再灌注同时;其保护脑缺血损伤的机制可能与抑制脂质过氧化、提高氧化酶的活性有关

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^

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