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In this study, rapid evaporative ionization mass spectrometry(REIMS) fingerprints of 388 samples of roots of Pulsatilla chinensis(PC) and its common counterfeits, roots of P. cernua and roots of Anemone tomentosa were analyzed based on REIMS combined with machine learning. The samples were determined by REIMS through dry burning, and the REIMS data underwent cluster analysis, similarity analysis(SA), and principal component analysis(PCA). After dimensionality reduction by PCA, the data were analyzed by similarity analysis and self-organizating map(SOM), followed by modeling. The results indicated that the REIMS fingerprints of the samples showed the characteristics of variety differences and the SOM model could accurately distinguish PC, P. cernua, and A. tomentosa. REIMS combined with machine learning algorithm has a broad application prospect in the field of traditional Chinese medicine.
Subject(s)
Medicine, Chinese Traditional , Algorithms , Anemone , Machine LearningABSTRACT
The aging society has led to a substantial increase in the number of clinical comorbidities. To meet the needs of comorbidity treatment, polypharmacy is widely used in clinical practice. However, polypharmacy has drawbacks such as treatment conflict. Same treatment of different diseases refers to treating different diseases with same treatment. Therefore, the principle of same treatment of different diseases can alleviate the problems caused by polypharmacy. Under the research background of precision medicine, it becomes possible to explore the mechanism of same treatment of different diseases and achieve its clinical application. However, drugs successfully developed in the past have revealed shortcomings in clinical use. To better interpret the mechanism of precision medicine for same treatment of different diseases, under the multi-dimensional attributes including dynamic space and time, omics was performed, and a new strategy of tensor decomposition was proposed. With the characteristics of complete data, tensor decomposition is advantageous in data mining and can fully grasp the connotation of precision treatment of different diseases with same treatment under dynamic spatiotemporal changes. This method is used for drug repositioning in some biocomputations. By taking advantage of the dimensionality reduction of tensor decomposition and integrating the dual influences of time and space, this study achieved accurate target prediction of same treatment of different diseases at each stage, and discovered the mechanism of precision medicine of same treatment for different diseases, providing scientific support for precision prescription and treatment of different diseases with same treatment in clinical practice. This study thus conducted preliminary exploration of the pharmacological mechanism of precision Chinese medicine treatment.
Subject(s)
Humans , Data Mining , Medicine, East Asian Traditional , Precision MedicineABSTRACT
In contrast to traditional representational perspectives in which the motor cortex is involved in motor control via neuronal preference for kinetics and kinematics, a dynamical system perspective emerging in the last decade views the motor cortex as a dynamical machine that generates motor commands by autonomous temporal evolution. In this review, we first look back at the history of the representational and dynamical perspectives and discuss their explanatory power and controversy from both empirical and computational points of view. Here, we aim to reconcile the above perspectives, and evaluate their theoretical impact, future direction, and potential applications in brain-machine interfaces.
Subject(s)
Biomechanical Phenomena , Brain-Computer Interfaces , Motor Cortex/physiology , Neurons/physiologyABSTRACT
Resumen: Antecedentes: El Cuestionario de Imagen Corporal (BSQ, por sus siglas en inglés) se ha utilizado ampliamente en población clínica y general destacando su carácter unidimensional para la medida de la insatisfacción corporal. Diversas investigaciones han generado hasta 10 versiones cortas basadas en reducciones del BSQ-34. Sin embargo, hasta el momento ninguna de ellas ha sido sometida a pruebas de confiabilidad y validez en muestras independientes. Objetivo: Analizar la estructura interna del BSQ-8D y su relación con los tres factores del Test de Actitudes Alimentarias (EAT-26, por sus siglas en inglés), así como la fiabilidad obtenida con un diseño de consistencia interna y otro de estabilidad temporal en una muestra de mujeres universitarias. Método: Participaron 492 mujeres universitarias quienes contestaron el BSQ-8D y el EAT-26. Resultados: El análisis factorial confirmatorio corroboró la estructura unidimensional del BSQ-8D. La consistencia interna fue adecuada, con α =.91 y ω = .89, así como la confiabilidad test-retest con un CCI = .80. La correlación entre las puntuaciones obtenidas de esta versión del BSQ y el EAT-26 fue de .56 y con sus factores fue .58 para Dieta, .33 para Bulimia y Preocupación por la Comida y .26 para Control Oral. Conclusiones: Estos hallazgos aportan evidencia empírica independiente que apoya la unidimensionalidad, la confiabilidad y la relación con las actitudes hacia la comida del BSQ-8D. Para fortalecer la solidez de esta versión del BSQ-8D hace falta recolectar datos en muestra clínica y en muestras de varones con y sin trastornos alimentarios y de la ingestión de alimentos.
Abstract: Background: The Body Shape Questionnaire (BSQ) has been widely used in the clinical and general population, highlighting its unidimensional nature. Research evidence has generated 10 short versions based on reductions of the BSQ-34. Hitherto, short versions have not been applied to analyze validity and reliability with independent samples. Aim: To analyze the internal structure of the BSQ-8D and its relationship with the three factors of the Eating Attitudes Test-26 (AET-26), as well as the reliability obtained with a design of internal consistency and another of temporal stability in a sample of university women. Methods: Participants were 492 undergraduate women who completed the BSQ-8D and the EAT-26. Results: Confirmatory factor analysis supported the one factor structure of the BSQ-8D. The internal consistency was adequate, α = .91 and ω = .89, as well as the test-retest reliability ICC = .80. Correlation between this BSQ-8D version and those obtained in the EAT-26 was = .56 besides the correlations with its factors .58 for Dieting, .33 for Bulimia and Food Concerns, and .26 for Oral Control. Conclusions: These findings added independent evidence about the unidimensionality of the instrument. To strengthen the robustness of this version of the BSQ-8D it is necessary to collect data in clinical and men sample with and without feeding and eating disorders.
Subject(s)
Humans , Female , Adolescent , Adult , Young AdultABSTRACT
Abstract Phonological awareness is one of the most important predictors of reading. However, there is still controversy concerning its dimensionality. This study evaluated the dimensionality of phonological awareness among Brazilian Portuguese-speaking children. A total of 212 children performed six phonological awareness tasks in the last year of kindergarten. Of those children, 177 performed the same tasks when they were in the first grade. The phonological awareness measures differed in both their cognitive demand (detection, blending, segmentation, and elision) and the phonological unit involved (rhyme, syllable, and phoneme). Confirmatory factor analyzes were employed to test several models of phonological awareness dimensionality. The results indicated that the best model was an oblique model of phonological units with two correlated latent factors: phonemic awareness and supraphonemic awareness. This model presented the best fit to the data both in kindergarten and in the first grade. In addition, supraphonemic awareness in the kindergarten predicted phoneme awareness in the first grade; however, phonemic awareness in the kindergarten did not predict supraphonemic awareness in the first grade. These results are compatible with phonological awareness developing from larger phonological units (e.g., syllables) to small phonological units (e.g., phonemes) and the reciprocal relationship between phonological awareness and reading. From a theoretical point of view, these results also suggest that phonological awareness is a one-dimensional construct that can be evaluated by tests employing different phonological units (e.g., syllables, rhymes, phonemes).
Subject(s)
AwarenessABSTRACT
Aiming at the lack of quantitative evaluation methods in clinical diagnosis of lung cancer, a classification and prediction model of lung cancer based on Support Vector Machine (SVM) was constructed by using radiomics method. Firstly, the definition and processing flow of radiomics were introduced. The experimental samples were selected from 816 lung cancer patients on LIDC. Firstly, ROI was extracted by central pooling convolution neural network segmentation method. Then, Pyradiomics and FSelector feature selection models were used to extract features and reduce dimension. Finally, SVM was used to construct the classification and prediction model of lung tumors. The predictive accuracy of the model is 80.4% for the classification of benign and malignant pulmonary nodules larger than 5 mm, and the value of the area under the curve (AUC) is 0.792. This indicates that the SVM classifier model can accurately distinguish benign and malignant pulmonary nodules larger than 5 mm.
Subject(s)
Humans , Algorithms , Lung Neoplasms/diagnostic imaging , Neural Networks, Computer , Radiometry , Support Vector Machine , Tomography, X-Ray ComputedABSTRACT
Modelos bifator têm sido relatados na literatura como explicações plausíveis para a estrutura latente da depressão. O presente estudo busca expandir essa área de investigação, tendo como objetivo principal realizar uma análise exploratória bifator da Escala Baptista de Depressão - Versão Idosos (EBADEP-ID). Os participantes foram 311 idosos com idades variando de 60 a 90 anos, provenientes de cinco grupos populacionais de tipo clínico e não clínico. Os resultados mostraram um melhor ajuste aos dados para o modelo bifator com um fator geral e dois fatores específicos, quando comparado a uma simples solução unidimensional. Entretanto, todos os itens carregaram predominantemente no fator geral, ocorrendo poucas cargas significativas nos fatores específicos, o que sustenta a unidimensionalidade do instrumento. O escore geral da EBADEP-ID apresentou elevada consistência interna (0,95 pelo coeficiente alfa, e 0,98 pelo coeficiente ômega) e capacidade informativa, além de alta sensibilidade e especificidade. Implicações teóricas e práticas dos resultados, bem como limitações do estudo, são discutidas ao final.
Bifactor models have been reported in the literature as plausible explanations of the latente structure of depression. In the present study, we offer a contribution to this area of research, by performing an exploratory bifactor analysis of the Baptista's Depression Scale-elderly version (EBADEP-ID). Participants were 311 elderlies with ages ranging from 60 to 90 years, coming from five distinct clinical and nonclinical populations. The bifactor model comprising one general factor and two specific factors yielded a better fit to the data when compared with a simple unidimensional model. However, all items loaded highly on the general factor, and few items had loadings on the specific factors in the model, then supporting the unidimensionality of the EBADEP-ID. The sum score provided by the instrument achieved high internal consistency (.95 according to alpha, and .98 according to ômega coefficient) and informative capacity, besides high sensitivity and specificity. Theoretical and practical implications of the findings, as well as limitations to the study, are discussed.
Los modelos bifator han sido reportados en la literatura como explicaciones plausibles para la estructura latente de la depresión. El presente estudio busca expandir esa área de investigación, teniendo como objetivo principal realizar un análisis exploratorio bifator de la Escala Baptista de Depressão-Versão Idosos (EBADEP-ID). Los participantes fueron 311 ancianos con edades variando de 60 a 90 años, provenientes de cinco grupos poblacionales de tipo clínico y no clínico. Los resultados mostraron un mejor ajuste a los datos para el modelo bifator con un factor general y dos factores específicos, en comparación con una simple solución unidimensional. Sin embargo, todos los elementos cargaron predominantemente en el factor general, ocurriendo pocas cargas significativas en los factores específicos, lo que sostiene la unidimensionalidad del instrumento. La puntuación general de EBADEP-ID presentó elevada consistencia interna (0,95 por el coeficiente alfa, y 0,98 por el coeficiente omega) y capacidad informativa, además de alta sensibilidad y especificidad. Las implicaciones teóricas y prácticas de los resultados, así como las limitaciones del estudio, se discuten al final.
Subject(s)
Aged , Depression/psychology , Mental HealthABSTRACT
Objective: To provide clinical criteria with regional basis of the reference values of carbohydrateantigen 19-9 (CA19-9) in healthy Chinese male adults. Methods: First, the reference values of CA19-9 in 9,382 healthy male adults distributed in 64 cities and counties in China were collected to construct the database. Then geographical factors received dimensionality reduction by comprehensive application of the principal component analysis, variation coefficient method, and correlation analysis; then the classification regression tree model was constructed. Third, the hotspot and spatial distribution of the reference values of CA19-9 in healthy male adults was drawn based on 2,322 observation data points. Results: The reference value of CA19-9 showed spatial variation, which was higher in the southern region than in the northern region, and higher in Jilin and Liaoning provinces than in the eastern central region. Hotspots were mostly distributed in the southern region, and cold spots in the northern region. Conclusion: There exist spatial variation of the reference values of CA19-9 at spatial level. Therefore, when it comes to clinical diagnosis, it is necessary to consider regional variation.
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Objective: Childhood adversities (CAs) comprise a group of negative experiences individuals may suffer in their lifetimes. The goal of the present study was to investigate the cluster discrimination of CAs through psychometric determination of the common attributes of such experiences for men and women. Methods: Parental mental illness, substance misuse, criminality, death, divorce, other parental loss, family violence, physical abuse, sexual abuse, neglect, physical illness, and economic adversity were assessed in a general-population sample (n=5,037). Exploratory and confirmatory factor analysis determined gender-related dimensions of CA. The contribution of each individual adversity was explored through Rasch analysis. Results: Adversities were reported by 53.6% of the sample. A three-factor model of CA dimensions fit the data better for men, and a two-factor model for women. For both genders, the dimension of family maladjustment - encompassing physical abuse, neglect, parental mental disorders, and family violence - was the core cluster of CAs. Women endorsed more CAs than men. Rasch analysis found that sexual abuse, physical illness, parental criminal behavior, parental divorce, and economic adversity were difficult to report in face-to-face interviews. Conclusion: CAs embrace sensitive personal information, clustering of which differed by gender. Acknowledging CAs may have an impact on medical and psychiatric outcomes in adulthood.
Subject(s)
Humans , Male , Female , Child , Adolescent , Adult , Middle Aged , Young Adult , Family/psychology , Interpersonal Relations , Life Change Events , Socioeconomic Factors , Violence/psychology , Violence/statistics & numerical data , Brazil , Cluster Analysis , Child Abuse/psychology , Child Abuse/statistics & numerical data , Sex Factors , Cross-Sectional Studies , Factor Analysis, Statistical , Interview, PsychologicalABSTRACT
Gene-gene interaction is a key factor for explaining missing heritability. Many methods have been proposed to identify gene-gene interactions. Multifactor dimensionality reduction (MDR) is a well-known method for the detection of gene-gene interactions by reduction from genotypes of single-nucleotide polymorphism combinations to a binary variable with a value of high risk or low risk. This method has been widely expanded to own a specific objective. Among those expansions, fuzzy-MDR uses the fuzzy set theory for the membership of high risk or low risk and increases the detection rates of gene-gene interactions. Fuzzy-MDR is expanded by a maximum likelihood estimator as a new membership function in empirical fuzzy MDR (EFMDR). However, EFMDR is relatively slow, because it is implemented by R script language. Therefore, in this study, we implemented EFMDR using RCPP (c++ package) for faster executions. Our implementation for faster EFMDR, called EMMDR-Fast, is about 800 times faster than EFMDR written by R script only.
Subject(s)
Genotype , Methods , Multifactor Dimensionality ReductionABSTRACT
Objective To investigate gene-gene interactions of suicidal behavior with single-nucleotide-polymorphism (SNP) in MAOA ,GAD1 and 5-HTR2C by multifactor dimensionality reduction .Methods For this case-control study ,six SNPs were captured in related genes and detected in blood samples obtained from 21 patients with suicidal behavior and 50 healthy individuals .The genotype frequency and allele frequency as well as the Hardy-Weinberg equilibrium (HWE) ,tests were performed and compared by plink software .The gene-gene interactions models were built by the MDR software .Results The HWE test for case group showed that rs3813928 rs518147 of 5-HTR2C gene was not in line with HWE ( P< 0 .05) .However ,the additive model analysis after adjustment by gender indicated that the polymorphism had a positive correlation with suicidal behavior in case group .The case and control groups differed significantly only in genotype frequencies of 5-HTR2C gene (χ2 =6 .18 , P=0 .04) .There was no significant difference in allele and genotype frequencies of the other genes ( P>0 .05) .The best combination model of MDR was rs5953210-rs769391 OR=20 .19 ,95% CI 4 .19-97 .38 , P<0 .01 ,with significant interaction . Conclusion The 5-HTR2C gene rs3813928 and rs518147 polymorphisms may play an important role in the susceptibility to suicidal behavior .The combination of MAOA with GAD1 has a significant interaction which may increase the risk of suicidal behavior .
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OBJECTIVE: To evaluate the influence of superficial needling on electroencephalogram (EEG) in patients with insomnia by using nonlinear kinetics measure. METHODS: Six patients (3 male and 3 female) suffering from insomnia for more than a month were recruited in the present study. EEG data before and during superficial acupuncture stimulation of Shangen point (the midpoint between the bilateral inner canthus) was recorded using an electroencephalograph for analyzing the correlation dimensionality (D 2) and approximate entropy (ApEn) of different cerebral regions. RESULTS: During superficial needling, the D 2 data of the right-forehead (Fp 2), anterior area of the left temple (F 7) and the anterior region of the right temple (F 8) were significantly increased (P<0.05), and ApEn data at the right anterior forehead(Fp 2), left occipital region (O 1), and F 8 region markedly decreased relevant to pre-acupuncture (P<0.05). Both paring test and trend analysis of D 2 data showed no significant changes. Only an obvious increase of D 2 was found in the Fp 2 region, suggesting a coherence of EEG activities in stability and synchronization during acupuncture treatment. Clustering analysis of D 2 data of various cerebral regions displayed a relatively concentrated tendency, particularly in the Fp 2, the right forehead (F 4) and F 8 regions. Factor analysis of ApEn data showed a significant change in Fp 2, F 8, O 1 and right occipital (O 2) regions. It suggests that during superficial needling stimulation of Shangen point, the EEG signals were lowered in complexity, and improved in synchronization, stabilization and ordering, favoring sleep at last. CONCLUSION: Superficial needling of Shangen point can make the EEG signals synchronized in insomnia patients, suggesting an improvement of sleeping.
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Objective To verify the interaction between single nucleotide polymorphism of trypto-phan hydroxylase 2 (TPH2) (rs4570625,rs11178997,rs120074175) and negative life events and the asso-ciation with major depressive disorder (MDD) in a Chinese population.Methods Totally 300 cases of pa-tients with major depressive disorder and 300 healthy controls in northern China were enrolled and the ge-nomic DNA were extracted. PCR was used to detect the polymorphisms of rs4570625, rs11178997, rs120074175.Questionnaire survey was conducted on the case group and the control group.Chi-square test was used to compare the differences in the frequency distribution of alleles and genotype between two groups. The generalized multifactor dimensionality reduction ( GMDR) method was used to analyze the interaction between gene and environment.Binary logistic regression was used to verify the optimal model.Results After adjusting the factors of sex and age,the GMDR analysis showed rs4570625,rs11178997,rs120074175 and negative life events were the optimal model.In this model, the testing balanced accuracy was 0.7838 and cross-validation consistency value was 10/10.There was statistically significant effect on the risk of major de-pressive disorder ( P ＝ 0.001 ). Binary logistic regression analysis showed that individuals, who had rs11178997 A+ genotype (AA,AT),rs120074175 A+genotype (AA,AG) and negative life events,had sig-nificant OR values of 24.307(95%CI＝13.007-45.427) and 38.2502(95%CI＝1.148-69.181),showing a higher risk of depression.Conclusion The interaction between TPH2 gene (rs11178997,rs120074175) and negative life events plays an important role in depression.
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Objective To investigate the interactions between cAMP-response element-binding protein 1 (CREB 1) gene polymorphisms (rs889895,rs3770704,rs2551645,rs4675690) and brain derived neurotrophic factor (BDNF) gene polymorphisms (rs7124442,rs 10835210) and the association with recurrent major depressive disorder.Methods The blood samples were taken from 768 recurrent major depressive disorder patients and 511 healthy controls.The DNA was isolated from blood samples and was detected by SNP Sequenom Mass Array analysis.Chi-square test was used to compare differences in the frequency distribution of alleles and genotype between depression and controls.The generalized multifactor dimensionality reduction (GMDR) method was used to analyze the gene-gene interaction.Binary logistic regression was used to verify the optimal model.Results After adjusting the factors of sex and age,the GMDR analysis showed rs10835210 was the optimal model.In this model,the testing balanced accuracy was 0.5319 and cross-validation consistency value was 10/10.And rs10835210 had a statistically significant effect on the risk of recurrent major depressive disorder(P=0.0107).There was no significant gene-gene interaction of five tag SNPs on recurrent major depressive disorder(P＞0.05).Binary logistic regression analysis showed the AC contributed to a significantly lower risk of recurrent major depressive disorder than did the CC (OR =0.772,95％ CI=0.608-0.980,P=0.033).It was failed to find the genetic polymorphism of CREB1 rs889895.Conclusion BDNF rs10835210 may be one of the biological markers of recurrent major depressive disorder.
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Objective To investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors and pulse pressure (PP) as well as the relationships between gene-gene interaction between PPARα/δ/γ genes and PP.Methods A total of 820 subjects,with 550 females and 270 males,were recruited from a cohort study of “Prevention of Metabolic Syndrome and Multi-metabolic Disorders in Jiangsu Province of China Study (PMMJS)”.Ten SNPs of PPARα/δ/γ genes were selected.GMDR software (version 1.0.1) was used to evaluate the gene-gene interactions among PPARs SNPs associated with PP.Results The mean levels of PP in people with mutant genotype of rs1805192 in PPARγ genes (PA+AA) showed a significant increase by 1.341 mmHg (95％CI:0.431-2.252 mmHg) when compared to the persons with wild genotype (PP).In the subgroup of subjects with more than 30 mmHg levels of PP,a six-locus model comprised rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγshowed a highest level of prediction accuracy (0.577) and displayed a better cross-validation consistency (10/10).In the subgroup of subjects with less than 40 mmHg levels of PP,a two-locus model was statistically associated with PP with 0.628 of prediction accuracy and 10/10 of cross-validation consistency.Conclusion PPARγrs1805192 was associated with the occurrence of PP.Gene-gene interactions among rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγ were all significantly related to PP.
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Objective To investigate possible effect of 6 obesity-associated SNPs in contribution to central obesity and examine whether there is an interaction in the 6 SNPs in the cause of central obesity in school-aged children in China.Methods A total of 3502 school-aged children who were included in Beijing Child and Adolescent Metabolic Syndrome (BCAMS) Study were selected,and based on the age and sex specific waist circumference (WC) standards in the BCAMS study,1196 central obese cases and 2306 controls were identified.Genomic DNA was extracted from peripheral blood white cells using the salt fractionation method.A total of 6 single nucleotide polymorphisms (FTO rs9939609,MC4R rs17782313,BDNF rs6265,PCSK1 rs6235,SH2B1 rs4788102,and CSK rs1378942) were genotyped by TaqMan allelic discrimination assays with the GeneAmp 7900 sequence detection system (Applied Biosystems,Foster City,CA,USA).Logistic regression model was used to investigate the association between 6 SNPs and central obesity.Gene-gene interactions among 6 polymorphic loci were analyzed by using the Generalized Multifactor Dimensionality Reduction (GMDR) method,and then logistic regression model was constructed to confirm the best combination of loci identified in the GMDR.Results After adjusting gender,age,Tanner stage,physical activity and family history of obesity,the FTO rs9939609-A,MC4Rrs 17782313-C and BDNF rs6265-G alleles were associated with central obesity under additive genetic model (OR=1.24,95％CI:1.06-1.45,P=0.008;OR=1.26,95％CI:1.11-1.43,P=2.98 × 10-4;OR=1.18,95％ CI:1.06-1.32,P=0.003).GMDR analysis showed a significant gene-gene interaction between MC4R rs17782313 and BDNF rs6265 (P=0.001).The best two-locus combination showed the cross-validation consistency of 10/10 and testing accuracy of 0.539.This interaction showed the maximum consistency and minimum prediction error among all gene-gene interaction models evaluated.Moreover,the combination of MC4R rs17782313-C and BDNF rs6265-G was associated with an increased risk of central obesity after adjustment for gender,age,Tanner stage,physical activity and family history of obesity.Conclusions Our study showed that FTO rs9939609-A,MC4R rs17782313-C and BDNF rs6265-G alleles were associated with central obesity,and statistical interaction between MC4R rs17782313-C and BDNF rs6265-G increased risk of central obesity in school-aged children in China.
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Objective To investigate the association between ten single nucleotide polymorphisms (SNPs) in the peroxisome proliferator-activated receptors and pulse pressure (PP) as well as the relationships between gene-gene interaction between PPARα/δ/γ genes and PP.Methods A total of 820 subjects,with 550 females and 270 males,were recruited from a cohort study of “Prevention of Metabolic Syndrome and Multi-metabolic Disorders in Jiangsu Province of China Study (PMMJS)”.Ten SNPs of PPARα/δ/γ genes were selected.GMDR software (version 1.0.1) was used to evaluate the gene-gene interactions among PPARs SNPs associated with PP.Results The mean levels of PP in people with mutant genotype of rs1805192 in PPARγ genes (PA+AA) showed a significant increase by 1.341 mmHg (95％CI:0.431-2.252 mmHg) when compared to the persons with wild genotype (PP).In the subgroup of subjects with more than 30 mmHg levels of PP,a six-locus model comprised rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγshowed a highest level of prediction accuracy (0.577) and displayed a better cross-validation consistency (10/10).In the subgroup of subjects with less than 40 mmHg levels of PP,a two-locus model was statistically associated with PP with 0.628 of prediction accuracy and 10/10 of cross-validation consistency.Conclusion PPARγrs1805192 was associated with the occurrence of PP.Gene-gene interactions among rs135539 of PPARα,rs2016520 of PPARδ,rs10865710,rs1805192,rs709158 and rs3856806 of PPARγ were all significantly related to PP.
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Objective To investigate possible effect of 6 obesity-associated SNPs in contribution to central obesity and examine whether there is an interaction in the 6 SNPs in the cause of central obesity in school-aged children in China.Methods A total of 3502 school-aged children who were included in Beijing Child and Adolescent Metabolic Syndrome (BCAMS) Study were selected,and based on the age and sex specific waist circumference (WC) standards in the BCAMS study,1196 central obese cases and 2306 controls were identified.Genomic DNA was extracted from peripheral blood white cells using the salt fractionation method.A total of 6 single nucleotide polymorphisms (FTO rs9939609,MC4R rs17782313,BDNF rs6265,PCSK1 rs6235,SH2B1 rs4788102,and CSK rs1378942) were genotyped by TaqMan allelic discrimination assays with the GeneAmp 7900 sequence detection system (Applied Biosystems,Foster City,CA,USA).Logistic regression model was used to investigate the association between 6 SNPs and central obesity.Gene-gene interactions among 6 polymorphic loci were analyzed by using the Generalized Multifactor Dimensionality Reduction (GMDR) method,and then logistic regression model was constructed to confirm the best combination of loci identified in the GMDR.Results After adjusting gender,age,Tanner stage,physical activity and family history of obesity,the FTO rs9939609-A,MC4Rrs 17782313-C and BDNF rs6265-G alleles were associated with central obesity under additive genetic model (OR=1.24,95％CI:1.06-1.45,P=0.008;OR=1.26,95％CI:1.11-1.43,P=2.98 × 10-4;OR=1.18,95％ CI:1.06-1.32,P=0.003).GMDR analysis showed a significant gene-gene interaction between MC4R rs17782313 and BDNF rs6265 (P=0.001).The best two-locus combination showed the cross-validation consistency of 10/10 and testing accuracy of 0.539.This interaction showed the maximum consistency and minimum prediction error among all gene-gene interaction models evaluated.Moreover,the combination of MC4R rs17782313-C and BDNF rs6265-G was associated with an increased risk of central obesity after adjustment for gender,age,Tanner stage,physical activity and family history of obesity.Conclusions Our study showed that FTO rs9939609-A,MC4R rs17782313-C and BDNF rs6265-G alleles were associated with central obesity,and statistical interaction between MC4R rs17782313-C and BDNF rs6265-G increased risk of central obesity in school-aged children in China.
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PURPOSE: The dimensionality of examinations provides empirical evidence of the internal test structure underlying the responses to a set of items. In turn, the internal structure is an important piece of evidence of the validity of an examination. Thus, the aim of this study was to investigate the performance of the DETECT program and to use it to examine the internal structure of the Korean nursing licensing examination. METHODS: Non-parametric methods of dimensional testing, such as the DETECT program, have been proposed as ways of overcoming the limitations of traditional parametric methods. A non-parametric method (the DETECT program) was investigated using simulation data under several conditions and applied to the Korean nursing licensing examination. RESULTS: The DETECT program performed well in terms of determining the number of underlying dimensions under several different conditions in the simulated data. Further, the DETECT program correctly revealed the internal structure of the Korean nursing licensing examination, meaning that it detected the proper number of dimensions and appropriately clustered the items within each dimension. CONCLUSION: The DETECT program performed well in detecting the number of dimensions and in assigning items for each dimension. This result implies that the DETECT method can be useful for examining the internal structure of assessments, such as licensing examinations, that possess relatively many domains and content areas.
Subject(s)
Korea , Licensure , Methods , NursingABSTRACT
O comprometimento organizacional, um dos fenômenos mais investigados no campo do comportamento organizacional, pode ser considerado um construto polissêmico e multifacetado. Este trabalho buscou discutir a complexidade e dispersão que cerca o conceito de comprometimento organizacional, envolvendo três problemas centrais: 1º) a quantidade de interfaces teóricas entre comprometimento organizacional e outros construtos da área organizacional; 2º) o grande desequilíbrio entre estudos que tomam o construto como uma atitude em detrimento de definições que enfatizem indicadores comportamentais; e 3º) a dimensionalidade do construto e a falta de consenso a respeito de quantas e quais são as bases constitutivas do comprometimento organizacional. Além de sistematizar os principais problemas sobre o construto, este estudo sugere alguns caminhos de investigação teórica e empírica que poderiam minimizar os problemas que cercam esta vertente de pesquisa, em razão das questões conceituais que caracterizam o seu construto central
Organizational commitment, although one of the most investigated phenomena in the field of organizational behavior, may still be considered as a multifaceted and polysemous construct. This work aims to present the complexity and dispersion that revolves around the concept of organizational commitment into three central problems: 1) large number of theoretical interfaces between organizational commitment and other organizational-related constructs, 2) the preponderance of studies that investigate commitment as an attitude rather than researches that emphasize behavioral indicators, and 3) the construct dimensionality, and the lack of a consensus about how many and which bases constitutes organizational commitment. In addition to discuss these main issues on the topic, this work suggests some theoretical and empirical research ways that could minimize some problems surrounding the mainstream organizational commitment literature, based on conceptual questions that revolve around this central construct
El compromiso organizacional, uno de los fenómenos más investigados en el campo del comportamiento organizacional, puede ser considerado un constructo polisémico y multifacético. El presente estudio tuvo como objetivo discutir la complejidad y dispersión en torno del concepto de compromiso organizacional, involucrando a tres problemas fundamentales: 1) la cantidad de conexiones teóricas entre el compromiso organizacional y otros constructos del área organizacional, 2) el gran desequilibrio ente estudios que asumen el constructo como una actitud, en detrimento de definiciones que enfaticen indicadores de comportamiento, 3) la dimensionalidad del constructo y la falta de consenso sobre cuántas y cuáles son las bases constitutivas del compromiso organizacional. Además de sistematizar los principales problemas sobre el constructo, este estudio sugiere algunos caminos de investigación teórica y empírica que podrían minimizar los problemas relacionados con esta línea de investigación, en función de las cuestiones conceptuales que caracterizan su constructo central