Association between composite dietary antioxidant index and stroke among individuals with diabetes

BACKGROUND Recent research has underscored the potentially protective role of dietary antioxidants against chronic conditions,such as cardiovascular diseases and stroke.The composite dietary antioxidant index(CDAI),which reflects the overall intake of key dietary antioxidants,has been identified as a crucial metric for exploring this relationship.Although previous research has shown a negative correlation between CDAI levels and stroke risk in prediabetic individuals,there remains a substantial gap in understanding this association among individuals with diabetes,who are at an inherently greater risk for cerebrovascular events.AIM To investigate the association between CDAI and stroke risk in individuals with diabetes.METHODS Using a cross-sectional study design,this investigation analyzed data from the National Health and Nutrition Examination Survey spanning from 2003 to 2018 that included 6735 participants aged over 20 years with diabetes.The CDAI was calculated from 24-h dietary recalls to assess intake of key antioxidants:Vitamins A,C,and E;carotenoids;selenium;and zinc.Multivariate logistic regression and restricted cubic spline analysis were used to rigorously examine the relationship between CDAI and stroke risk.RESULTS The participant cohort,with an average age of 59.5 years and a slight male majority,reflected the broader demographic characteristics of individuals with diabetes.The analysis revealed a strong inverse relationship between CDAI levels and stroke risk.Remarkably,those in the highest quintile of CDAI demonstrated a 43%lower prevalence of stroke compared to those in the lowest quintile,even after adjustments for various confounders.This finding not only highlights the negative association between CDAI and stroke risk but also underscores the significant potential of antioxidant-rich diets in reducing stroke prevalence among patients with diabetes.CONCLUSION Our findings suggested that CDAI was inversely associated with stroke prevalence among patients with diabetes.These results suggest incorporating antioxidant-rich foods into dietary regimens as a potential strategy for stroke prevention.

Socio-economic development of countries based on the Composite Country Development Index(CCDI)

World experience indicates the existence of significant imbalances in the development of countries.The problem of assessing the rational development of the regional and national economy is becoming urgent,since such assessments can prevent development imbalances across countries.The aim of this study is to elaborate a methodology to assess the countries’socio-economic development by integraring 12 modern indices of socio-economic development into the Composite Country Development Index(CCDI).The methodology of this research was based on a set of key indices that described socio-economic development level in four fields(social development,digital development,economic development,and environmental security)and then these indices were integrated into the CCDI.The study further applied factor analysis and R-Studio software to define the gaps of social and economic development in 59 selected countries using the trigonometric function of the angle sine.The correlation analysis confirmed the existence of a close interrelation among the studied countries.This paper noted that due to the emergence of new priorities,it is necessary to revise the assessment methodology of socio-economic development level and expand them to cover the decisive factors.This was confirmed by the results obtained,demonstrating various combinations of the development level in the four fields and their impact on the CCDI.The scientific contribution of this research is to form a methodology(e.g.,the CCDI)for evaluating the socio-economic development level of countries in the world.

A Transparent Photoresist Made of Titanium Dioxide Nanoparticle-Embedded Acrylic Resin with a Tunable Refractive Index for UV-Imprint Lithography

Transparent photoresists with a high refractive index(RI)and high transmittance in visible wavelengths have promising functionalities in optical fields.This work reports a kind of tunable optical material composed of titanium dioxide nanoparticles embedded in acrylic resin with a high RI for ultraviolet(UV)-imprint lithography.The hybrid film exhibits a tunable RI of up to 1.67(589 nm)after being cured by UV light,while maintaining both a high transparency of over 98%in the visible light range and a low haze of less than 0.05%.The precision machining of optical microstructures can be imprinted easily and efficiently using the hybrid resin,which acts as a light guide plate(LGP)to guide the light from the side to the top in order to conserve the energy of the display device.These preliminary studies based on both laboratory and commercial experiments pave the way for exploiting the unparalleled optical properties of nanocomposite resins and promoting their industrial application.

基于GBDT-LSTM的闽江流域水质预测

闽江作为福建省最大的河流,其生态保护对维护全省水生态环境而言意义重大。为进一步利用水质评价和预测方法对水质状况进行有效分析,选取闽江流域2017年1月-2023年8月共20处水质监测站数据作为研究对象,采用水质综合指数法对各站点水质状态进行判断;比较LSTM模型和GBDT-LSTM模型的拟合结果,并对各指标数据进行预测。结果表明,1)闽江流域各监测点除总氮外的水质指标均呈现较好趋势,各监测点的总氮浓度存在差异,整体情况较差,其中位于三明和南平市的河段由于当地重工业发达,导致水体中的硝态氮不断增加,进而致使河段内总氮浓度过高。2)流域水质的WQI值呈现逐年上升的趋势,水质状况普遍处于中等及以上水平,仅有少数监测点的水质状况处于很差状态,从中上游携带的泥沙等固体的堆积导致了连江琯头的水质情况较差;沙县斑竹溪渡口由于位于三明和南平的交界处,且沿岸分布较多重工业城市,故水质状态略差;相较于南平和三明的大型重工业企业,位于古田县的监测点以农业、轻工业为主,对水质指标的影响相对较小,水质状况因此较好。3)采用GBDT对变异程度较高的各水质指标在预测模型中的重要性进行排序,发现GBDT-LSTM混合模型的拟合效果相较于LSTM模型更好,更有利于对水质状况进行精确地预测。4)水体中总氮、高锰酸盐指数等含量的不断增加主要源于大量的工业废水,建议加强对临近闽江流域高污染高排放企业的控制,科学合理地实现工业污染排放和污染物容量在时空上的合理分配。

基于Attention机制的CNN-LSTM概率预测模型的股指预测

鉴于证券市场波动大预测难度高,文章基于encoder-decoder结构将Attention机制融入CNN-LSTM模型,利用Attention机制来捕捉不同时间点之间的数据依赖模式,提取长序列信息,并且在此基础上给出概率密度函数进行抽样预测,最终得出股票价格的点预测和区间预测。实验结果表明,融入Attention机制的CNN-LSTM概率预测模型从综合性能来看优于其他基准模型,能够对上证指数收盘价进行较高精度的多步预测。

Drillability prediction in some metamorphic rocks using composite penetration rate index(CPRI)–An approach

Assessment of drillability of rocks is vital in the selection,operation,and performance evaluation of cutting tools used in various excavation machinery deployed in mining and tunneling.The commonly used rock drillability prediction methods,namely,drilling rate index(DRI)and Cerchar hardness index(CHI)have limitations in predicting the penetration rate due to differential wear of the cutting tool in rocks with varied hardness and abrasivity.Since cutting tools get blunt differently in different rocks,the stress beneath the tip of the bit decreases until it reaches a threshold value beyond which the penetration rate becomes constant.In this research,a new composite penetration rate index(CPRI)is suggested based on the investigations on four metamorphic rocks viz.quartzite,gneiss,schist and phyllite with varied hardness-abrasivity values.The penetration-time behavior was classified into active,moderate,passive,and dormant phases based on the reduction in penetration rate at different stages of drilling.A comparison of predicted penetration rate values using DRI and CPRI with actual penetration rate values clearly establishes the supremacy of CPRI.Micro-structure and hardness-based index was also developed and correlated with CPRI.The new indices can help predict cutting tool penetration and its consumption more accurately.

Exploring overweight and obesity beyond body mass index:A body composition analysis in people with and without patellofemoral pain

Background:We compared body mass index(BMI),body fat,and skeletal muscle mass between(1) a mixed-sex nonathletic cohort of people with patellofemoral pain(PFP) and pain-free people,and(2) a nonathletic cohort of people with PFP and pain-free people subgrouped by sex(i.e.,men and women with PFP vs.pain-free men and women).Methods:This cross-sectional study included 114 people with PFP(71 women,43 men) and 54 pain-free controls(32 women,22 men).All participants attended a single testing session to assess body composition measures,which included BMI,percentage of body fat(%BFBioimpedance),and skeletal muscle mass(both assessed by bioelectrical impedance analysis),and percentage of body fat(%BFskinfoid)(assessed by skinfold caliper analysis).A one-way univariate analysis of covariance(age and physical activity levels as covariates) was used to compare body composition measures between groups(i.e.,PFP vs.pain-free group;women with PFP vs.pain-free women;men with PFP vs.pain-free men).Results:Women with PFP presented significantly higher BMI,%BFBiompedance,and %BFSkinfold,and lower skeletal muscle mass compared to pain-free women(p≤0.04;effect size:-0.47 to 0.85).Men with PFP and men and women combined had no differences in BMI,%BFBioimpedance,%BFSkinfold,and skeletal muscle mass compared to their respective pain-free groups(p> 0.05).Conclusion:Our findings indicate that BMI and body composition measures should be considered as part of the evaluation and management of people with PFP,especially in women,who have demonstrated higher BMI and body fat and lower skeletal muscle mass compared to pain-free controls.Future studies should not assess body composition measures in a mixed-sex population without distinguishing men participants from women participants.

Wider frequency domain for negative refraction index in a quantized composite right–left handed transmission line

The refraction index of the quantized lossy composite right-left handed transmission line（CRLH-TL） is deduced in the thermal coherence state. The results show that the negative refraction index（herein the left-handedness） can be implemented by the electric circuit dissipative factors（i.e., the resistances R and conductances G） in a higher frequency band（1.446 GHz≤ ω ≤ 15 GHz）, and flexibly adjusted by the left-handed circuit components（Cl, Ll） and the right-handed circuit components（Cr, Lr） at a lower frequency（ω = 0.995 GHz）. The flexible adjustment for left-handedness in a wider bandwidth will be significant for the microscale circuit design of the CRLH-TL and may make the theoretical preparation for its compact applications.

Effects of NS Series Composite Lactobacillus Prepa-ration on Performance,Plasma Biochemical Indexes and Immunity of Sows

[Objective] The study was aimed to investigate the effects of NS series composite lactobacillus preparation on production performance and some immune indexes of sows. [Method] The sows were fed on the diets supplemented with the NS series composite lactobacillus prepara- tion, and the changes of production performance, plasma biochemical indexes, levels of IgG, IgA and IgM in serum and colostrum, and T lympho- cyte subpopulations were detected. [ Result] When the NS series composite lactobacillus preparation was supplemented to the sow diet at a propor- tion of 0.2%, the average weaning litter weight at 21 days old was significantly increased. The serum contents of total protein and glucose as well as the serum activities of aspartate aminotransferase （AST）, alkaline phosphatase （ALP） and superoxide dismutase （SOD） were significantly in- creased after 30 d post delivery. Moreover, the levels of IgG, IgA and IgM in serum and colostrum of sows were significantly increased at the time of delivery and after 30 d post delivery. The antibodies in colostrum could be maintained at high levels. The percentage of CD3 ＊ and CD4~ ｜ympho- cyte subpopulations was also increased after supplementation with the NS series composite lactobacillus preparation at a proportion of 0.2%. [ （Con- des＇ion] The NS series composite lactobacillus preparation can improve performance, promote growth and metabolism, and enhance humoral and cellular immunity in sows.

Facial Index Based 2D Facial Composite Process for Forensic Investigation in Sri Lanka

The “facial composite” is one of the major fields in the forensic science that helps the criminal investigators to carry out their investigation process. The survey conducted by United States Law Enforcement Agencies confirms that 80% of the law enforcement agencies use computer automated composite systems whereas Sri Lanka is still far behind in the process of facial composite with lot of inefficiencies in the current manual process. Hence this research introduces a novel approach for the manual facial composite process, while eliminating the inefficiencies of the manual procedure in Sri Lanka. In order to overcome this situation, this study introduces an automated image processing based software solution with 2D facial feature templates targeting the Sri Lankan population. Thus, this was the first ever approach that creates the 2D facial feature templates by incorporating both medically defined indexes and relevant aesthetic aspects. Hence, this research study is comprised of two separate analyses on anthropometric indices and facial feature shapes which were carried out targeting the local population. Subsequently, several evaluation techniques were utilized to evaluate this methodology where we obtained an overall success rate as 70.19%. The ultimate goal of this research study is to provide a system to the law enforcement agencies in order to carry out an efficient and effective facial composite process which can lead to increase the success rate of suspect identification.

The Changes in World Oil Prices, Monetary Factors, and Foreign Index Toward Composite Index Movement： Indonesian Case for the Period of 2005-2011

Capital market is one of the drivers of the economy through the formation of capital investor excess as well as an indicator of a country＇s economy. Movement of stock price index is often influenced by many factors, derived from the company＇s performance, monetary factor, and changes in world oil prices. This study highlights the problem in world oil prices due to political turmoil in the Middle East. The samples are taken from the Jakarta Composite Stock Price Index （JCI）, oil prices, Indonesian inflation rate, Certificate of Bank Indonesia＇s （CBI） rate, and the reserve assets, during the period from January 2005 to December 2011 （84 months）. Using the data published by the Bank of Indonesia, reports of the Central Bureau of Statistics （Biro Pusat Statistik, BPS）, and other relevant sources, the data analyzed through the Eviews 7.1. The main objective of this study is to examine the effect of oil prices, foreign stock price index, and monetary variables （inflation rate, CBI rate, country＇s foreign reserves, and others） toward the JCI analyzed through the error correction model （ECM）. Hypothesis testing with the F-test for the 95% confidence level indicates that the oil price, exchange rate （Indonesian Rupiah （IDR）/United States Dollar （USD））, CBI rate, foreign exchange reserves, the Dow Jones Index, and the Taiwan stock index, both simultaneously as well as partially have a significant influence on the JCI.

基于改进变分模态分解和优化堆叠降噪自编码器的轴承故障诊断

针对滚动轴承在噪声干扰下故障特征难以提取的问题,提出一种改进变分模态分解(VMD)和复合缩放排列熵(CZPE)的特征提取新方法,并利用优化堆叠降噪自编码器(SDAE)进行故障分类。首先,提出由“余弦相似度—峭度—包络熵”新综合评价指标自适应优化分解参数的改进VMD方法,并通过该指标筛选分解后的本征模态函数(IMF)分量;然后,为提取更全面的故障特征,引入新的复合缩放排列熵对各有效IMF的故障特征进行量化;最后,提出一种基于鼠群优化算法(RSO)与麻雀搜索算法(SSA)的混合算法优化SDAE网络超参数,将故障特征输入优化后SDAE网络中得到分类结果。采用美国CWRU轴承数据集进行验证,实验结果表明该方法能全面稳定地提取背景噪声下的故障特征,且与其他方法相比具有更好的抗噪性能和更高的故障诊断准确率。

模糊数学综合评价结合响应面法优化竹笋汁饮品发酵工艺

该研究以清水竹笋罐头生产过程中产生的清水为原料,以发酵乳杆菌(Lactobacillus fermentium)与红茶菌为菌种复合发酵制备竹笋汁饮品。利用单因素试验、模糊数学综合评价结合响应面法对其发酵工艺进行优化,并对其理化指标、微生物指标及抗氧化性进行检测分析。结果表明,竹笋汁饮品的最佳发酵工艺为:红茶菌添加量6%、发酵温度25℃、发酵时间2.5 d。在此优化条件下,竹笋汁饮品的色泽均匀,呈浅黄色的基底液,其感官评分为85.24分,固形物含量为6.13 g/L,pH为3.38,总糖含量为0.16 g/L,总酸含量为41.33 g/L,总酚含量为7.74 mg/L,总黄酮含量为0.066 mg/m L;益生菌活菌数为3.5×107CFU/g,大肠菌群、沙门氏菌及霉菌未检出,说明其理化指标及微生物指标均符合T/CASME 435—2023《益生菌发酵植物饮料》。竹笋汁饮品对1,1-二苯基-2-苦基肼(DPPH)自由基清除率为64.03%,羟自由基(·OH)清除率为46.62%,说明其具有一定的抗氧化能力。

恶劣天气下机场离场航班运行韧性评估及恢复

为保障恶劣天气下机场整体性能,科学评估机场离场航班运行韧性,提高航班恢复能力,从而有效缓解天气的影响。给出机场离场航班运行定义,从机场离场航班运行系统性能出发,分析航班离场延误时间、离场总延误时间、离场航班正常率和机场离场航班运行系统综合韧性指数4个指标,对系统在恶劣天气条件下的韧性变化进行评估;提出机场离场航班运行系统性能恢复策略,利用遗传算法对离场延误航班进行优化排序;以2012年北京首都国际机场“721”特大暴雨事件为实例进行数据分析,得到暴雨影响下首都机场的性能指标和韧性指数,对比分析机场离场航班运行系统性能及韧性水平变化。研究结果表明:受暴雨影响,机场离场航班运行系统综合韧性指数由0.457 3下降到0.062 8,暴雨减小后上升到0.222 3;在进行航班优化排序后,离场航班总延误时间减少了24.85%,优化后机场性能恢复速度提升了13.89%,优化后的机场离场航班运行系统最小韧性指数提升了13.38%,系统性能优先恢复至初始状态,表明所提恢复策略有效。

养殖与野生鮻营养成分和挥发性物质比较

为探究养殖与野生鮻肌肉营养成分的差异,采用常规方法检测并分析“跑道”养殖鮻和野生鮻肌肉基本营养成分、氨基酸、脂肪酸和挥发性成分等指标。试验结果显示,“跑道”养殖鮻肌肉水分含量显著低于野生鮻(P<0.05),粗脂肪含量显著高于野生鮻(P<0.05),灰分和粗蛋白含量差异不显著(P>0.05);“跑道”养殖鮻肌肉中大部分氨基酸含量显著高于野生鮻(P<0.05),必需氨基酸、非必需氨基酸以及氨基酸总量差异显著(P<0.05)。依据氨基酸评分、化学评分,鮻肌肉中第一限制氨基酸均为甲硫氨酸+胱氨酸,第二限制氨基酸均为缬氨酸。必需氨基酸指数为“跑道”养殖鮻(101.39)>野生鮻(82.79)。“跑道”养殖鮻不饱和脂肪酸含量、脂肪酸不饱和度显著高于野生鮻(P<0.05),而饱和脂肪酸含量、二十碳五烯酸+二十二碳六烯酸含量低于野生鮻(P<0.05)。“跑道”养殖鮻和野生鮻分别检测出18种和29种挥发性化合物,野生鮻肌肉中关键风味物质的种类和数量更多,风味更丰富,而“跑道”养殖降低了鮻肌肉中部分呈现不愉悦气味的化合物含量。试验结果表明,“跑道”养殖模式改善了鮻肌肉氨基酸和挥发性化合物的组成。

婴儿体脂指数的影响因素分析

目的探究不同性别婴儿体脂指数(FMI)的影响因素。方法于2021年10月至2022年12月,在山东省开展婴儿体成分的横断面研究,对研究对象进行电子问卷调查和体成分测量获取研究数据,最终纳入9291份有效数据,应用多因素线性回归分析不同性别婴儿FMI的影响因素。结果不同性别婴儿月龄与FMI具有显著正相关。与适于胎龄儿相比,大于胎龄儿的FMI增加(β值分别为0.086、0.078,P<0.001),小于胎龄儿的FMI降低(β值分别为-0.088、-0.072,P<0.001)。与6月龄以后添加辅食相比,4~6月龄添加辅食男女婴儿FMI均增加,差异均具有统计学意义(β值分别为0.099、0.053,P<0.001)。与父母亲体重正常相比、父母亲肥胖与婴儿FMI的增加显著相关(β值分别为0.058、0.070和0.054、0.058,P<0.001),母亲体重过低与婴儿FMI降低显著相关(β值分别为-0.039、-0.046,P=0.005、0.002)。妊娠期糖尿病与婴儿FMI降低显著相关(β值分别为-0.039、-0.046,P=0.005、0.002),妊娠期高血压与男婴FMI升高显著相关(β=0.028,P=0.038)。纯配方奶喂养对女婴FMI存在显著正向影响(β=0.029,P=0.046)。孕期增重不足对女婴FMI存在显著负向影响(β=-0.033,P=0.032)。结论影响婴儿身体成分的因素有胎龄别体重、喂养方式、辅食添加时间、母亲孕期增重及孕期疾病等,应在生命早期采取干预措施进行控制,预防子代代谢性疾病的发生。

不同提取方法对甘松精油品质和成分的影响

目的:探究不同提取方法对甘松精油品质和成分的影响。方法:比较溶剂萃取法(SE)、水蒸气蒸馏法(SD)、盐析水蒸气蒸馏法(SSD)、亚临界萃取法(SFE)、超临界萃取法(SCFE)提取甘松精油的得率、理化性质、清除DPPH自由基能力差异,采用GC-MS和OPLS-DA分析比较不同甘松精油挥发性成分差异。结果:SCFE精油得率最高、清除DPPH自由基能力最强,SD精油感官品质最优、酸值和酯值最低、碘值最高。5种方法提取精油主要成分均为倍半萜,SCFE精油中倍半萜类成分含量最高,SD精油中酚、醇、酯、醛、单萜类最高,SE精油中酮类最高。OPLS-DA结果表明,SD、SE、SFE和SCFE甘松精油成分组成存在区别,而SD和SSD组成接近。VIP结果筛选出1-[6,6-二甲基-1,2-环氧环己基]-1-丁炔-3-酮、白菖烯、桉叶-4(15),7-二烯-1β-醇等13种关键差异成分。结论:5种方法中,SCFE提取甘松精油最高效,SD精油品质最优。

青贮黑麦草对奶山羊生产性能、乳成分和血清相关指标的影响

试验旨在探究青贮黑麦草代替饲粮中10%青贮紫花苜蓿对奶山羊生产性能、乳成分和血清相关指标的影响。挑选体重、产奶量、胎次一致的健康奶山羊40只,随机分为2组,每组4个重复,每个重复5只羊。对照组奶山羊饲喂基础饲粮,试验组采用10%青贮黑麦草代替基础饲粮中等量的青贮紫花苜蓿。预试期1周,正式试验期8周(妊娠期和泌乳期均为4周)。结果显示,与对照组相比,试验组初生羔羊体重和断奶羔羊存活率均显著升高(P<0.05),乳脂率显著升高(P<0.05),乳体细胞数显著下降(P<0.05);试验组奶山羊血清免疫球蛋白A(IgA)、免疫球蛋白G(IgG)和球蛋白(GLB)含量均显著升高(P<0.05),甘油三酯(TG)和总胆固醇(TC)含量显著下降(P<0.05)。研究表明,以青贮黑麦草代替10%青贮紫花苜蓿可以提高羔羊存活率和幼羊生长性能,增加奶山羊采食量和产奶量,改善奶山羊的免疫功能,但对奶山羊血清抗氧化和肝功能等相关指标无显著影响。

活性酵母对冷季泌乳牦牛产奶量、乳成分及血液指标的影响

为探讨活性酵母对冷季泌乳牦牛产奶量、乳成分及血液指标的影响,试验将16头泌乳牦牛随机分为两组,分别为对照组和活性酵母组(80 g/头·d),试验期为6周。结果显示:(1)与对照组相比,活性酵母组第18天产奶量提高了0.45 kg(P <0.05);35天乳蛋白率、乳脂肪率及乳糖率分别提高了0.68、0.49、0.11个百分点(P <0.05)。(2)与对照组相比,活性酵母组第18天血液葡萄糖(GLU)含量提高了0.26 mmol/L(P <0.01);第35天白蛋白(ALB)和甘油三酯(TG)含量分别提高了4.34 g/L(P <0.01)和0.08 mmol/L(P <0.05),尿素氮(UN)含量降低了0.55 mmol/L(P <0.01)。(3)与对照组相比,活性酵母组第18天免疫球蛋白G(Ig G)、第35天免疫球蛋白A(Ig A)和试验全程免疫球蛋白M(IgM)含量分别提高了1.26 pg/mL(P <0.05)、0.04 g/L(P <0.05)和0.23 g/L(P <0.01)。结果表明,活性酵母可通过调控瘤胃内环境和微生物区系结构,提高饲粮能量、蛋白质等营养物质消化率及利用率,进而提高机体免疫力并改善泌乳性能及乳成分。

重型颅脑损伤患者营养状况及住院时间与相位角的关系

目的探讨重型颅脑损伤患者营养状况及住院时间(LOS)与相位角(PA)的关系。方法选取神经外科收治的患者100例[格拉斯哥昏迷量表(GCS)评分≤8分]作为研究对象。通过人体成分分析检测以及采血化验,获得患者细胞内外水分、骨骼肌、PA、预后营养指数(PNI)以及LOS指标。根据PA值将患者分为低PA组(n=42)和正常PA组(n=58)。比较2组人体成分相关指标、PNI和LOS,分析PA与各指标的相关性,分析患者发生营养不良的影响因素。结果低PA组患者细胞内水分、身体总水分、身体细胞含量、PNI低于正常PA组,LOS长于正常PA组,差异有统计学意义(P<0.05)。PA与细胞内水分、细胞外水分、身体总水分、骨骼肌、身体细胞含量、骨矿物质含量、基础代谢率、PNI呈正相关(P<0.05),PA与LOS呈负相关(P<0.05)。PA(OR=5.441,P=0.001,95%CI:2.011~14.719)和LOS(OR=8.373,P<0.001,95%CI:3.079~22.765)是患者发生营养不良的影响因素。结论PA与重型颅脑损伤患者营养状况以及LOS显著相关。