scholarly journals Loss of Integrity of Corpus Callosum White Matter Hyperintensity Penumbra Predicts Cognitive Decline in Patients With Subcortical Vascular Mild Cognitive Impairment

2021 ◽  
Vol 13 ◽  
Author(s):  
Yage Qiu ◽  
Ling Yu ◽  
Xin Ge ◽  
Yawen Sun ◽  
Yao Wang ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Function ◽  
White Matter ◽  
Linear Regression ◽  
Corpus Callosum ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Relationship

Loss of white matter (WM) integrity contributes to subcortical vascular mild cognitive impairment (svMCI). Diffusion tensor imaging (DTI) has revealed damage beyond the area of WM hyperintensity (WMH) including in normal-appearing WM (NAWM); however, the functional significance of this observation is unclear. To answer this question, in this study we investigated the relationship between microstructural changes in the WMH penumbra (WMH-P) and cognitive function in patients with svMCI by regional tract-based analysis. A total of 111 patients with svMCI and 72 patients with subcortical ischemic vascular disease (SIVD) without cognitive impairment (controls) underwent DTI and neuropsychological assessment. WMH burden was determined before computing mean values of fractional anisotropy (FA) and mean diffusivity (MD) within WMHs and WMH-Ps. Pearson’s partial correlations were used to assess the relationship between measurements showing significant intergroup differences and composite Z-scores representing global cognitive function. Multiple linear regression analysis was carried out to determine the best model for predicting composite Z-scores. We found that WMH burden in the genu, body, and splenium of the corpus callosum (GCC, BCC, and SCC respectively); bilateral anterior, superior, and posterior corona radiata; left sagittal stratum was significantly higher in the svMCI group than in the control group (p < 0.05). The WMH burden of the GCC, BCC, SCC, and bilateral anterior corona radiata was negatively correlated with composite Z-scores. Among diffusion parameters showing significant differences across the 10 WM regions, mean FA values of WMH and WMH-P of the BCC were correlated with composite Z-scores in svMCI patients. The results of the multiple linear regression analysis showed that the FA of WMH-P of the BCC and WMH burden of the SCC and GCC were independent predictors of composite Z-score, with the FA of WMH-P of the BCC making the largest contribution. These findings indicate that disruption of the CC microstructure—especially the WMH-P of the BCC—may contribute to the cognitive deficits associated with SIVD.

Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

2021 ◽  
pp. 1-10
Author(s):  
Yosuke Yamada ◽  
Hiroyuki Umegaki ◽  
Fumie Kinoshita ◽  
Chi Hsien Huang ◽  
Taiki Sugimoto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Linear Regression ◽  
Logistic Regression Analysis ◽  
Linear Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Memory Clinic ◽  
Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p <  0.001) or clinical diagnosis of dementia (β= –3.145, p <  0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

Abstract TP442: Periventricular Not Deep White Matter Hyperintensities Are Associated With Vascular Cognitive Impairment

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yan Chen ◽  
Renyuan Liu ◽  
Shuwei Qiu ◽  
Yun Xu
Keyword(s):  
Regression Analysis ◽  
Cognitive Impairment ◽  
White Matter ◽  
Linear Regression ◽  
Cognitive Performance ◽  
White Matter Hyperintensities ◽  
Rating Scale ◽  
Linear Regression Analysis ◽  
Vascular Cognitive Impairment ◽  
Cerebral White Matter

Introduction: Cerebral White matter hyperintensities(WMH) are frequent findings on MRI scan. They are well known to correlate with vascular cognitive impairment(VCI). However, controversies still remain about the relationship between WMH locations and cognitive function across studies. Hypothesis: Periventricular WMHs(PWH) rather than deep WMHs(DWH) are associated with cognitive decline in VCI. Methods: Fifty-nine subjects with WMHs on MRI were divided into three groups, normal control(NC), mild cognitive impairment(MCI) and vascular dementia(VaD), according to clinical manifestation and neuropsychological performance. WMH volumes were evaluated by Fazekas rating scale and segmental volumetric. Correlations between cognitive performance and WMH volumes were determined in virtue of Spearman correlation analysis. Receiver operator characteristic (ROC) curves were generated to define the classification cut-off value of WMH volumes for distinguishing VCI versus normal controls. Multiple linear regression analysis was used to predict cognitive performance with WMH volumes and locations after adjusting for sex ,age and education level. Results: Cognitive capacities were gradually declined from NC through MCI to VaD patients while WMH volumes and Fazekas scores altered oppositely. Both PWH and DWH volumes and Fazekas scores were correlated with cognitive performance, and moreover, WMH volumes were correlated with Fazekas scores. ROC analysis showed a cut-off value of PWH rather than DWH to distinguish VCI from NC(AUC=0.745 and 0.635, p =0.001 and 0.076, respectively). Linear regression analysis demonstrated that only PWH volumes were associated with cognitive performance( p < 0.001). Conclusion: Our study demonstrate that PWHs are independent predictors for vascular contribution in white matter lesions and suggest clinicians that PWH should be emphasized on evaluating vascular cognitive impairment related with white matter load.

The relationship between transformational leadership and job satisfaction in selected colleges at King Khalid University, Abha, Saudi Arabia

2019 ◽  
Author(s):  
Esther Iriagbonse Eroje ◽  
Erasmus Kofi Appiah ◽  
Alezi Braimoh Ifindon Eroje ◽  
MEER ZAKIRULLA ◽  
Jimly James Kunjappu ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Transformational Leadership ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Leadership Behaviour ◽  
R Value ◽  
The Relationship

Abstract Background Leadership has become the key issues in managing the organization, the emerging business and economic environments have forced organizations to be flexible, adaptive, entrepreneurial and innovative to meet changing demand of the present-day business environment. The purpose of the present study is to examine the relationship between the various dimensions of transformational leadership (predictor variable) and their effects on employees’ job satisfaction (criterion variable) in three selected Colleges (Medicine, Dentistry and Science) in King Khalid University. Methods The methodology employed in this study was a quantitative and cross-sectional correlational survey type of design Data collection was done using a questionnaire design that was directly administered to the participants. 250 questionnaires were sent to the participating three colleges (Medicine, Dentistry and Sciences). Results The findings of the multiple linear regression analysis indicated a weak positive association between transformational leadership behaviour and employees’ job satisfaction (R-value 0.386). The multiple linear regression analysis signifies a weak positive correlation between transformational leadership behaviour and job satisfaction (R-value 0.386). A p-value in Spearman’s rho that is less than the 0.05 level of significance indicated that there is a significant level of relationship which exists between transformational leadership behaviour and job satisfaction. Conclusions This study concluded that transformational leadership behaviour and its four dimensions showed a weak positive correlation with a statistically significant level of relationship between transformational leadership behaviour and employees’ job satisfaction among three selected colleges (Medicine, Dentistry and Sciences) in King Khalid University, Abha, Saudi Arabia.

scholarly journals INTERAKSI KINERJA KEUANGAN PERBANKAN DAN TATA KELOLA DALAM MENINGKATKAN RETURN SAHAM

SIMAK ◽  
2021 ◽  
Vol 19 (01) ◽  
pp. 69-100
Author(s):  
Ina Marice ◽  
Fransiskus E. Daromes ◽  
Suwandi Ng
Keyword(s):  
Corporate Governance ◽  
Regression Analysis ◽  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Stock Returns ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Relationship

This research was conducted to investigate the effect of banking performance on stock returns as moderated by corporate governance. The population used in the study were all banks listed on the IDX for the period 2015-2019. The sample in this study were 30 banks selected using purposive sampling method. The analysis was carried out with the help of SPSS 25 and hypothesis testing using multiple linear regression analysis and moderating regression analysis (MRA). The results of this study indicate that banking performance in the form of LDR, CAR, and ROA partially and simultaneously affects stock returns, NPL partially and simultaneously has no effect on stock returns, governance is able to moderate the relationship between LDR, CAR, and ROA on stock returns, but unable to moderate the relationship between NPL and stock returns.

Analyzing the Relationship Between Burnout and Depression in Junior Elite Athletes

2017 ◽  
Vol 11 (4) ◽  
pp. 287-303 ◽  
Author(s):  
Raphael Frank ◽  
Insa Nixdorf ◽  
Jürgen Beckmann
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Chronic Stress ◽  
Elite Athletes ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Other ◽  
Future Research ◽  
Transfer Of Knowledge ◽  
The Relationship

Findings on burnout and depression in athletes highlight their potential severity. Although both constructs are discussed in similar, stress-based concepts, it is unclear how they relate to each other. To address this issue, we conducted a crosssectional multiple linear regression analysis (MLR; N = 194) and a longitudinal analysis of a three-wave cross-lagged panel (CLP; n = 92) in German junior elite athletes. MLR showed that depression and burnout were both associated with chronic stress. Stress was a significant better predictor for both burnout and depression than each was for the other. CLP analysis on the constructs of burnout and depression revealed support for cross-paths in both directions. Thus, burnout and depression might cause each other to some degree, with no distinct direction of this link. However, as both syndromes do not fully explain each other, interchanging both terms and syndromes should be avoided. Preferably, future research might consider the transfer of knowledge between both syndromes to draw founded conclusions.

Correlation of eccentric strength of the knee extensors and knee proprioception with dynamic postural control

2021 ◽  
pp. 1-8
Author(s):  
Jeongwoo Jeon ◽  
Jiyeon Lee ◽  
Jiheon Hong ◽  
Jaeho Yu ◽  
Jinseop Kim ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Postural Control ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Joint Position Sense ◽  
Knee Extensors ◽  
Balance Test ◽  
The Relationship

BACKGROUND: It is important for clinicians and researchers to perform dynamic postural control evaluation for predicting musculoskeletal conditions, injury prevention, and rehabilitation. OBJECTIVE: The purpose of this study was to investigate the relationship (1) between the eccentric strength of the knee extensors and star excursion balance test (SEBT), and (2) between the knee proprioception and SEBT. METHODS: Forty healthy young adults participated in this study. The eccentric peak torque (EPT) of the knee extensors, joint position sense, and force sense were measured. The participants also performed SEBT. Pearson’s product-moment correlation and multiple linear regression analysis were used to determine the relationship between the variables and SEBT. RESULTS: The posteromedial direction of the SEBT was positively and strongly correlated with EPT (r= 0.74, P< 0.01). The anterior and posterolateral directions were positively and moderately correlated with EPT (r= 0.46, P< 0.01, and r= 0.69, P< 0.01, respectively.). However, knee proprioception was not correlated with all the directions of SEBT (P> 0.05). According to the results of multiple linear regression analysis, EPT of the knee extensors significantly predicted SEBT reach distances. CONCLUSION: The eccentric strength of the knee extensors seems to be an essential factor in dynamic postural control. However, the knee proprioception did not show a significant correlation with SEBT.

scholarly journals The Association Between the Severity of the Mandibular Inferior Cortex Porosity and the Number of Remaining Teeth in Elderly Indonesian People

2019 ◽  
Author(s):  
Bramma Kiswanjaya ◽  
Hanna H Bachtiar-Iskandar
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Nonparametric Tests ◽  
Cross Sectional ◽  
Panoramic Radiographs ◽  
The Relationship

Abstract Background The purpose of this study was to investigate the association between the severity of the mandibular inferior cortex (MIC) porosity and the number of remaining teeth in elderly Indonesian people.Materials and methods This cross-sectional study was conducted by measuring secondary data on panoramic digital examinations of patients aged 50 years and older. A total of 428 panoramic radiographs were measured from January 2017 to December 2018. The number of remaining teeth (including the third molars) was evaluated. Mandibular porosity was measured by using panoramic radiographs, according to the MIC classification: normal; mildly to moderately eroded; and severely eroded cortex.Statistical analysis used Data analysis was done using Mann-Whitney nonparametric tests to verify the relationship between the MIC classification and the number of remaining teeth. Multiple linear regression analysis was performed to investigate the relationship between confounding variables.Results A significant correlation was found between MIC classification and the number of remaining teeth on the Mann-Whitney test (P < 0.001). Multiple linear regression analysis showed that MIC classification was significantly associated with the value of the number of remaining teeth after controlling for gender and age (β = -0.37, R2 = 0.22, P < 0.001). Subjects with MIC class 3 were 7.14 times more likely to lose their teeth than subjects with MIC class 1 or class 2.Conclusions Our study demonstrated that there was an association between the severity of mandibular inferior cortex porosity and the number of remaining teeth in elderly Indonesian people.

RELEVANSI SIKAP BERAKUNTANSI PELAKU UMKM MUDA DAN PENGGUNAAN INFORMASI AKUNTANSI TERHADAP KEBERHASILAN USAHA

2016 ◽  
Vol 12 (2) ◽  
pp. 85
Author(s):  
Ayu Dwidyah Rini ◽  
Kazia Laturette
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Accounting Information ◽  
Multiple Linear Regression Analysis ◽  
Business Success ◽  
Snowball Sampling ◽  
The Relationship ◽  
Dominant Influence

The effect of accounting attitude young SMEs and the use of accounting information to businesssuccess. This study aims to determine the relationship accounting attitude and use of accountinginformation businesses small and medium micro young to business success . Data was collectedthrough questionnaires with 100 young SMEs in Surabaya . The study uses a quantitative approachwith multiple linear regression analysis and snowball sampling to sampling . The results of the studyexplained that the accounting attitude young SMEs , accounting information has a significantrelationship in partial to business success. The results also explain that the accounting informationhas a dominant influence on the success of young SME business in Surabaya .Keywords: Accounting Information , Attitude, Business Success

scholarly journals Hubungan ukuran kapal, panjang jaring, tenaga mesin, dan material rumpon terhadap hasil tangkapan purse seine: Studi kasus di Pelabuhan Perikanan Nusantara (PPN) Idi Rayeuk, Kabupaten Aceh Timur

DEPIK ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 227-234
Author(s):  
Makwiyah A. Chaliluddin ◽  
Junaidi M. Affan ◽  
Syahrul Ramadhan ◽  
Yulia Safitri Ismail ◽  
Fachrorazi Amir ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Fishing Gear ◽  
Fishing Vessel ◽  
Vessel Size ◽  
Aceh Province ◽  
The Relationship ◽  
Engine Power

Abstract. Each region has different boat sizes, fishing gear sizes, engine power, and fish agregating device (FAD)material, allegedly having different catches. The relationship between the length of the net, engine power, fishing vessel size, usually influences the catch of the fish. This study aims to determine the effect of fishing vessel size, engine power, net length and FAD material on catches volume. The study was conducted using descriptive methods conducted on 14 February-14 March 2019 in Idie Rayeak, Aceh Timur, Aceh Province. Data were analyzed  by multiple linear regression analysis. The results showed that engine power, net length and FAD material had a significant effect on the catch volume, while the fishing vessel size had no significant effect on the catch volume.Keywords: fishing vessel size, length of net, engine power, FAD material Abstrak. Setiap daerah memiliki ukuran kapal, ukuran alat tangkap, tenaga mesin, serta material rumpon yang berbeda-beda, diduga memiliki hasil tangkapan yang berbeda pula. Hubungan antara panjang jaring, tenaga mesin, ukuran kapal, biasanya berpengaruh terhadap hasil tangkapan ikan. Penelitian ini bertujuan untuk mengetahui pengaruh ukuran kapal, tenaga mesin, panjang jaring dan material rumpon terhadap hasil tangkapan. Penelitian dilakukan dengan menggunakan metode deskriptif yang dilakukan pada bulan 14 Februari - 14 Maret 2019 di perairan Idi Rayeak Aceh Timur, Provinsi Aceh.  Data dianalisis  dengan analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa tenaga mesin, panjang jaring dan material rumpon mempunyai pengaruh yang signifikan terhadap hasil tangkapan, sedangkan ukuran kapal tidak mempunyai pengaruh yang signifikan terhadap hasil tangkapan.Kata kunci: Ukuran kapal, panjang jaring, tenaga mesin, material rumpon

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