Predicting lung adenocarcinoma prognosis, immune escape, and pharmacomic profile from arginine and proline-related genes.

Lung adenocarcinoma (LUAD) is a highly heterogeneous disease that ranks first in morbidity and mortality. Abnormal arginine metabolism is associated with inflammatory lung disease and may influence alterations in the tumor immune microenvironment. However, the potential role of arginine and proline metabolic patterns and immune molecular markers in LUAD is unclear. Gene expression, somatic mutations, and clinicopathological information of LUAD were downloaded from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression analysis was performed to identify metabolic genes associated with overall survival (OS). Unsupervised clustering divided the sample into two subtypes with different metabolic and immunological profiles. Gene set enrichment analysis (GESA) and gene set variation analysis (GSVA) were used to analyze the underlying biological processes of the two subtypes. Drug sensitivity between subtypes was also predicted; then prognostic features were developed by multivariate Cox regression analysis. In addition, validation was obtained in the GSE68465, and GSE50081 dataset. Then, gene expression, and clinical characterization of hub genes CPS1 and SMS were performed; finally, in vitro validation experiments for knockdown of SMS were performed in LUAD cell lines. In this study, we first identified 12 arginine and proline-related genes (APRGs) significantly associated with OS and characterized the clinicopathological features and tumor microenvironmental landscape of two different subtypes. Then, we established an arginine and proline metabolism-related scoring system and identified two hub genes highly associated with prognosis, namely CPS1, and SMS. In addition, we performed CCK8, transwell, and other functional experiments on SMS to obtain consistent results. Our comprehensive analysis revealed the potential molecular features and clinical applications of APRGs in LUAD. A model based on 2 APRGs can accurately predict survival outcomes in LUAD, improve our understanding of APRGs in LUAD, and pave a new pathway to guide risk stratification and treatment strategy development for LUAD patients.

Impacts of Mutations in the P-Loop on Conformational Alterations of KRAS Investigated with Gaussian Accelerated Molecular Dynamics Simulations.

G12 mutations heavily affect conformational transformation and activity of KRAS. In this study, Gaussian accelerated molecular dynamics (GaMD) simulations were performed on the GDP-bound wild-type (WT), G12A, G12D, and G12R KRAS to probe mutation-mediated impacts on conformational alterations of KRAS. The results indicate that three G12 mutations obviously affect the structural flexibility and internal dynamics of the switch domains. The analyses of the free energy landscapes (FELs) suggest that three G12 mutations induce more conformational states of KRAS and lead to more disordered switch domains. The principal component analysis shows that three G12 mutations change concerted motions and dynamics behavior of the switch domains. The switch domains mostly overlap with the binding region of KRAS to its effectors. Thus, the high disorder states and concerted motion changes of the switch domains induced by G12 mutations affect the activity of KRAS. The analysis of interaction network of GDP with KRAS signifies that the instability in the interactions of GDP and magnesium ion with the switch domain SW1 drives the high disordered state of the switch domains. This work is expected to provide theoretical aids for understanding the function of KRAS.

Dynamic ECG signal quality evaluation based on persistent homology and GoogLeNet method.

Cardiovascular disease is a serious health problem. Continuous Electrocardiograph (ECG) monitoring plays a vital role in the early detection of cardiovascular disease. As the Internet of Things technology continues to mature, wearable ECG signal monitors have been widely used. However, dynamic ECG signals are extremely susceptible to contamination. Therefore, it is necessary to evaluate the quality of wearable dynamic ECG signals. The topological data analysis method (TDA) with persistent homology, which can effectively capture the topological information of high-dimensional data space, has been widely studied. In this study, a brand-new quality assessment method of wearable dynamic ECG signals was proposed based on the TDA with persistent homology method. The point cloud of an ECG signal was constructed, and then the complex sequence was generated and displayed as a persistent barcode. Finally, GoogLeNet based on the transfer learning model with a 10-fold cross-validation method was used to train the classification model. A total of 12-leads ECGs Dataset and single-lead ECGs Dataset, established based on the 2011 PhysioNet/CinC challenge dataset, were both used to verify the performance of this method. In the study, 773 "acceptable" and 225 "unacceptable" signals were used as 12-leads ECGs Dataset. We relabeled 12,000 ECG signals in the challenge dataset, and treated them as single-lead ECGs Dataset after empty lead detection and balance datasets. Compared with the traditional ECG signal quality assessment method mainly based on waveform characteristics and time-frequency characteristics, the performance of the quality assessment method proposed. In this study, the classification performance of the proposed method are fairly great, mAcc = 98.04%, F1 = 98.40%, Se = 97.15%, Sp = 98.93% for 12-leads ECGs Dataset and mAcc = 98.55%, F1 = 98.62%, Se = 98.37%, Sp = 98.85% for single-lead ECGs Dataset.

Automatic epileptic seizure detection based on persistent homology.

Epilepsy is a prevalent brain disease, which is quite difficult-to-treat or cure. This study developed a novel automatic seizure detection method based on the persistent homology method. In this study, a Vietoris-Rips (VR) complex filtration model was constructed based on the EEG data. And the persistent homology method was applied to calculate the VR complex filtration barcodes to describe the topological changes of EEG recordings. Afterward, the barcodes as the topological characteristics of EEG signals were fed into the GoogLeNet for classification. The persistent homology is applicable for multi-channel EEG data analysis, where the global topological information is calculated and the features are extracted by considering the multi-channel EEG data as a whole, without the multiple calculations or the post-stitching. Three databases were used to evaluate the proposed approach and the results showed that the approach had high performances in the epilepsy detection. The results obtained from the CHB-MIT Database recordings revealed that the proposed approach can achieve a segment-based averaged accuracy, sensitivity and specificity values of 97.05%, 96.71% and 97.38%, and achieve an event-based averaged sensitivity value of 100% with 1.22 s average detection latency. In addition, on the Siena Scalp Database, the proposed method yields averaged accuracy, sensitivity and specificity values of 96.42%, 95.23% and 97.6%. Multiple tasks of the Bonn Database also showed achieved accuracy of 99.55%, 98.63%, 98.28% and 97.68%, respectively. The experimental results on these three EEG databases illustrate the efficiency and robustness of our approach for automatic detection of epileptic seizure.

Val158Met polymorphisms of COMT gene and serum concentrations of catecholaminergic neurotransmitters of ADHD in Chinese children and adolescents.

ABSTRACT: This study analyzed the Val158Met polymorphisms of the catechol-O-methyltransferase (COMT) gene and serum concentrations of catecholaminergic neurotransmitters in attention deficit hyperactivity disorder (ADHD) children and adolescents.All the subjects (180 paired ADHD and non-ADHD children and adolescents) were genotyped for the Val158Met polymorphisms of the COMT gene, and determined by the difference of dopamine and noradrenalin from a 1:1 paired case-control study.The frequencies of methionine (A)/A, valine (G)/A, and G/G were 51.67%, 41.11%, and 7.22% in the case group, and 62.22%, 31.11%, and 6.67% in the control group. There was a significant difference in the distribution of all genotypes of the COMT gene between the 2 groups (odds ratio = 1.85, 95% confidence interval: 1.62-2.08; χ2 = 7.80, P < .05). The serum concentrations of dopamine and noradrenalin were 1.42 ±â€Š0.34 ng/mL and 177.70 ±â€Š37.92 pg/mL in the case group, and 1.94 ±â€Š0.42 ng/mL and 206.20 ±â€Š42.45 pg/mL in the control group. There were the significant differences in the levels of dopamine and noradrenalin between the 2 groups (dopamine: t = 4.30, P < .01; noradrenalin: t = 2.24, P < .05).Our study suggested that the Val158Met polymorphisms of the COMT gene and serum concentrations of catecholaminergic neurotransmitters were associated with ADHD children and adolescents.

miR-33b-3p Acts as a Tumor Suppressor by Targeting DOCK4 in Prostate Cancer.

Despite that androgen-deprivation therapy results in long-lasting responses, the disease inevitably progresses to metastatic castration-resistant prostate cancer. In this study, we identified miR-33b-3p as a tumor suppressor in prostate cancer. miR-33b-3p was significantly reduced in prostate cancer tissues, and the low expression of miR-33b-3p was correlated with poor overall survival of prostate cancer patients. Overexpression of miR-33b-3p inhibited both migration and invasion of highly metastatic prostate cancer cells whereas inhibition of miR-33b-3p promoted those processes in lowly metastatic cells. The in vivo results demonstrate that miR-33b-3p suppresses metastasis of tail vein inoculated prostate cancer cells to lung and lymph nodes in mice. DOCK4 was validated as the direct target of miR-33b-3p. miR-33b-3p decreased the expression of DOCK4 and restoration of DOCK4 could rescue miR-33b-3p inhibition on cell migration and invasion. Moreover, downregulation of miR-33b-3p was induced by bortezomib, the clinically used proteasome inhibitor, and overexpression of miR-33b-3p enhanced the insufficient inhibition of bortezomib on migration and invasion as well as metastasis of prostate cancer cells. In summary, our findings demonstrate that miR-33b-3p suppresses metastasis by targeting DOCK4 in prostate cancer. Our results suggest that enhancing miR-33b-3p expression may provide a promising therapeutic strategy for overcoming that proteasome inhibitor's poor efficacy against metastatic prostate cancer.

Using quantum dynamics to study the effect of energy efficiency on the reactivity of the OH + DBr reaction.

We report a time-dependent, full dimensional, wave-packet calculation for the reaction of OH + DBr to examine the effect of the energy efficiency on the reactivity. This study shows that the vibrational excitations of the OH and DBr enhance the reaction. However, the rotational excitations of OH and DBr both hinder the reaction. As a result, the vibrational energies of both the OH and DBr reactants are more efficient at promoting the reactivity than the translational energy, while the rotational energies of OH and DBr are less effective than the translational energy. By analyzing the state population of the vibrational and rotational states along the reaction pathway, we also developed an approach in order to explain the enhancement of the vibrational excitation and the hindrance of the rotational excitation of the reaction. We found that the initial-state selected vibrational excited states of OH and DBr are the dominant components, respectively, for surmounting the barrier. However, the initial-state selected rotational excited states of OH and DBr are no longer the dominant states for surmounting the transition state owing to their population changes in the van der Waals well. This quantitative analysis demonstrates the potential well in the entrance valley plays an important role in the energy efficiency with regards to the reactivity.

Toward lateral heterostructures with two-dimensional MoX2H2 (X = As, Sb).

The development of two-dimensional (2D) lateral heterostructures (LHs) with the powerful tunability of electronic properties will be of great realistic significance for next-generation device applications. Herein, we report the novel 2D MoX2 and MoX2H2 (X = As or Sb) monolayer materials with excellent stability. Using first-principles calculations, we demonstrated that 2D MoX2 layers possess the metallic characteristic while the full surface hydrogenation effect would play a role in stabilizing the 2D lattices and lead to band gap openings of 0.83 and 0.50 eV for the 2D MoAs2H2 and MoSb2H2, respectively. In addition, our results suggest that the 2D MoAs2H2 and MoSb2H2 can serve as the 'building blocks' to construct the seamless LHs exhibiting excellent thermal and dynamical stability. The obtained nL-MoAsSb LHs enable the fully tunable band gap engineering behavior with linear tendency as a function of the width of the in-plane components. The phase transition from direct to in-direct band gap was also confirmed in the LHs as the crucial value of n = 3. In view of the type-II band alignment and efficient carrier separation in nL-MoAsSb, the predicted MoX2H2 and nL-MoAsSb LHs not only highlight the promising candidates for 2D pristine materials, but also paves the way for the realization of practical integrating device applications.

Revealing binding selectivity of ligands toward murine double minute 2 and murine double minute X based on molecular dynamics simulations and binding free energy calculations.

It is well known that the interactions of p53 with murine double minute 2 and murine double minute X, namely MDM2 and MDMX, have been significant targets of efficient anti-cancer drug design. In this study, molecular dynamics (MD) simulations, principal component (PC) analysis and binding free energy calculations are combined to recognize binding selectivity of three ligands to MDM2 and MDMX. The binding free energies were estimated by using molecular mechanics generalized Born surface area (MM-GBSA) method and the obtained results display that the increase in the binding enthalpy of three ligands to MDM2 relative to MDMX mainly drives the binding selectivity of them toward MDM2 and MDMX. The information obtained from PC analysis shows that the associations of ligands exert important impacts on internal dynamics of MDM2 and MDMX. Meanwhile, the calculations of residue-based free energy decomposition not only identify the hot interaction spots of ligands with MDM2 and MDMX, but also show the residues (L54, M53), (Y67, Y66), (V93, V92), (H96, P95), (I99, I98) and (Y100, Y99) in (MDM2, MDMX) are responsible for most contributions to the binding selectivity of three ligands toward MDM2 and MDMX. It is believed that this work can provide useful information for design of highly selective and dual inhibitors targeting MDM2 and MDMX.Communicated by Ramaswamy H. Sarma.

SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins.

Antioxidant proteins can be beneficial in disease prevention. More attention has been paid to the functionality of antioxidant proteins. Therefore, identifying antioxidant proteins is important for the study. In our work, we propose a computational method, called SeqSVM, for predicting antioxidant proteins based on their primary sequence features. The features are removed to reduce the redundancy by max relevance max distance method. Finally, the antioxidant proteins are identified by support vector machine (SVM). The experimental results demonstrated that our method performs better than existing methods, with the overall accuracy of 89.46%. Although a proposed computational method can attain an encouraging classification result, the experimental results are verified based on the biochemical approaches, such as wet biochemistry and molecular biology techniques.

Insight into binding mechanisms of inhibitors MKP56, MKP73, MKP86, and MKP97 to HIV-1 protease by using molecular dynamics simulation.

HIV-1 protease (PR) has been a significant target for design of potent inhibitors curing acquired immunodeficiency syndrome. Molecular dynamics simulations coupled with molecular mechanics Poisson-Boltzmann surface area method were performed to study interaction modes of four inhibitors MKP56, MKP73, MKP86, and MKP97 with PR. The results suggest that the main force controlling interactions of inhibitors with PR should be contributed by van der Waals interactions between inhibitors and PR. The cross-correlation analyses based on MD trajectories show that inhibitor binding produces significant effect on the flap dynamics of PR. Hydrogen bond analyses indicate that inhibitors can form stable hydrogen bonding interactions with the residues from the catalytic strands of PR. The contributions of separate residues to inhibitor bindings are evaluated by using residue-based free energy decomposition method and the results demonstrate that the CH-π and CH-CH interactions between the hydrophobic groups of inhibitors with residues drive the associations of inhibitors with PR. We expect that this study can provide a significant theoretical aid for design of potent inhibitors targeting PR.

Probing Difference in Binding Modes of Inhibitors to MDMX by Molecular Dynamics Simulations and Different Free Energy Methods.

The p53-MDMX interaction has attracted extensive attention of anti-cancer drug development in recent years. This current work adopted molecular dynamics (MD) simulations and cross-correlation analysis to investigate conformation changes of MDMX caused by inhibitor bindings. The obtained information indicates that the binding cleft of MDMX undergoes a large conformational change and the dynamic behavior of residues obviously change by the presence of different structural inhibitors. Two different methods of binding free energy predictions were employed to carry out a comparable insight into binding mechanisms of four inhibitors PMI, pDI, WK23 and WW8 to MDMX. The data show that the main factor controlling the inhibitor bindings to MDMX arises from van der Waals interactions. The binding free energies were further divided into contribution of each residue and the derived information gives a conclusion that the hydrophobic interactions, such as CH-CH, CH-π and π-π interactions, are responsible for the inhibitor associations with MDMX.

The trends in maternal mortality between 1996 and 2009 in Guizhou, China: ethnic differences and associated factors.

China bears a large burden of global maternal mortality, and the largest burden of maternal deaths in China is in poor western provinces. This study aimed to investigate the trends in maternal mortality and its associated factors in Guizhou province of western China between 1996 and 2009, and examine differences between minority and non-minority counties. A population-based, longitudinal, retrospective study was performed in a poor western province of China with a considerably large ethnic minority population. All 86 counties/districts of Guizhou were included with population at county, township and village level. Maternal mortality data were collected from routine reporting database of Guizhou Provincial Health Bureau. Trend and comparative analyses and multivariate linear regression analyses were performed using SPSS 17.0. Maternal mortality ratio (MMR) and its change over time, differences between ethnic groups were analyzed. A declining trend in maternal mortality and rising trend in hospital delivery in Guizhou was observed; ethnic differences between two ethnic groups persisted. The reduction in maternal mortality between 1996 and 2009 was related with increased gross domestic product, decreased male illiteracy rate, and increased hospital delivery rate. We found the declining trends in maternal mortality in Guizhou with persisting ethnic differences. The declining trends are related with economic development, hospital delivery and male illiteracy. Effective health education on maternal health is urgently needed for the minority groups, and basic education for the new generation should be enhanced to eradicate the illiteracy.

[Impact factors analysis on child neglect of children aged 3-6 year-old in rural areas of China].

OBJECTIVE: To investigate the major influence factors of child neglect among rural areas children aged 3-6 years in China. METHODS: According to multi-stage stratified cluster sampling, distribution characteristics and the level of economic development, we randomly sampled 10 provinces, 26 cities (8 capital cities, 16 prefecture-level cities and 2 municipalities) using lottery method. Depending on the different level of economic and cultural, we sampled one medium county from each city (municipalities sampled two counties), a total of 28 counties. All towns were divided into high, medium and low three levels in accordance with economic and cultural, each level sampled one town, each conty sampled three towns, a total of 84 towns were sampled. Each town sampled 40 children, including 20 boys and 20 girls (including each 10 children aged 3 to 6, half and half boys and girls). 4 096 rural children aged 3-6 years old were sampled and surveyed of China. Based on "the Neglect Norms for Children Aged 3 to 6 Years Old in Rural Areas of China" explored the risk factors of child neglect. SPSS 18. 0 for windows was employed for statistics analysis. Multifactorial analysis was conducted through multivariate Logistic Regression. RESULTS: The total neglected rate of the rural children aged 3 to 6 was 53.7% (2,047/3,810), and the total neglected degree was 44.42±7.57. The multivariate logistic regression analysis showed that, neglected risk of the boys was higher than the girls (OR=1.30, 95% CI: 1.13-1.49), neglected risk of children were higher, when their mothers were migrant workers (OR=2.18, 95% CI: 1.59-3.00); the lower educational level of mothers, the higher neglected risk of children, the children in families that mothers only received primary education or was uneducated were most likely to be neglected (OR=2.92, 95% CI: 1.91-4.47), the second was the families that mothers received primary education (OR=1.86, 95% CI: 1.29-2.69); the lower the household income, the easier to be neglected the children, the easiest one was the household income less than 5000 RMB (OR=2.85, 95% CI: 2.14-3.79), the second was 5000-9,999 RMB (OR=1.76, 95% CI: 1.40-2.20); the relationship between children and mothers was distanced, neglect risk of children was higher (OR=3.88, 95% CI: 1.31-11.52); left behind children were easier to be neglected (OR=1.30, 95% CI: 1.09-1.54). CONCLUSION: The influence factors among children aged 3-6 years in the rural areas of China were boys, mother's occupation, maternal education level, the relationship between children and mothers, household income and left-behind children.

A study of the interaction between HIV-1 protease and C 2-symmetric inhibitors by computational methods.

The human immunodeficiency virus type 1 protease (HIV-1 PR) is a major target for the design of anti-AIDS (acquired immune deficiency syndrome) drugs. Some C2-symmetric inhibitors have been designed for the C2-symmetric binding pocket of HIV-1PR. The crystallographic structures reveal that the binding modes are not C2-symmetric for C2-symmetric inhibitors binding to PR. In this work, four molecular dynamics (MD) simulations were performed to investigate the binding modes between four C2-symmetric inhibitors (6 AD, 6AG, 6FD and 6FG) and PR, as well as the stabilities of these inhibitors in the binding pocket. Analysis of the hydrophobic surface of the binding pocket shows that it is necessary to add a polar group to the P1 (benzyl) and P2 (phenyl) groups of the inhibitor 6AD. Analysis of the hydrogen bonds formed between inhibitors and residues (Asp25/Asp25', Ile50/Ile50') indicates that the steric structures of the inhibitors are not suitable for the binding pocket. The two increased polar groups of trifluoromethyl and formamido meet the needs of the binding pocket for polar molecules. The inhibitor with both these groups (6FG) has stronger stability than the other three inhibitors, which have only one (6AG and 6FD) or none (6AD) of these groups. The ranking of binding free energies calculated by molecular mechanics-generalized born surface area (MM-GBSA) method agrees well with the experimental data. It is expected that this study will provide theoretical guidance for the design of anti-AIDS drugs targeting HIV-1PR.

Birth weight, growth and feeding pattern in early infancy predict overweight/obesity status at two years of age: a birth cohort study of Chinese infants.

OBJECTIVES: To investigate the early determinants of overweight and obesity status at age two years. METHODS: A total of 1098 healthy neonates (563 boys and 535 girls) were involved in this community-based prospective study in China. Data on body weight and length were collected at birth, the 3(rd) and 24(th) month. A self-administered questionnaire was used to collect data on social demography and feeding patterns of children, etc. Three multivariable logistic regression models were employed to make various comparisons of weight status, i.e., model 1 (obesity vs. non-obesity), model 2 (combined overweight and obesity vs. normal weight, and model 3 (obesity, overweight and normal weight). RESULTS: Prevalences of overweight/obesity (95(th) >BMI ≥85(th) p and BMI ≥95(th) p, referring to WHO BMI standards) at 2 years of age are 15.8%/11.2% for boys and 12.9%/9.0% for girls, respectively. Being born with macrosomia (OR: 1.80-1.88), relatively greater BMI increment in the first 3 months (OR: 1.15-1.16) and bottle emptying by encouragement at age two (OR: 1.30-1.57) were found in all three models to be significant risk factors for higher BMI status at 2 years. Pre-pregnancy maternal BMI (OR: 1.09-1.12), paternal BMI (OR: 1.06), and mixed breastfeeding (OR: 1.54-1.57) or formula feeding (OR: 1.90-1.93) in the first month were identified as significant in models 2 and 3. Child-initiated bottle emptying at age two was observed to increase the risk of obesity by 1.31 times but only in model 1. CONCLUSION: Fetal and early postnatal growth and feeding pattern appear to have significant impacts on early childhood overweight and obesity status independent of parental BMI. Policy-based and multidisciplinary approaches to promote breastfeeding and enhancement of feeding skills of care takers may be promising intervention strategies.

[Development of national neglect norm for urban primary school students of China].

OBJECTIVE: To develop the national neglect norms for urban primary school students in China. METHODS: According to multi-stage stratified cluster sampling principle, 24 cities of 13 provinces (municipalities) in China were selected during December 1 to 31, 2008. A total of 1491 students in grade 1 - 3 and 2236 students in grade 4 - 6 were selected. Questionnaire was designed by authors and the final norms were determined through several statistical analysis methods, such as item analysis method, factor analysis method, reliability analysis method. The reliability analysis and validity analysis were used to test the stability and reliability of the norms. The evaluation criteria of the scale was determined by the percentile method, then the initial development of the norm was completed. RESULTS: The two questionnaires of grade 1 - 3 and grade 4 - 6 students consisted of 55 and 57 items, respectively, whose item loadings were ranged from 0.301 to 0.687 and 0.321 to 0.730, which met the statistical requirements. For grade 1 - 3 students, the scale's total Cronbach α coefficients was 0.914, the total split-half reliability coefficients was 0.896, the Cronbach α coefficients of four level was above 0.737 except medical and social neglect, split-half reliability was ranged from 0.461 to 0.757; for grade 4-6 students, the scale's total Cronbach α coefficients was 0.916, split-half reliability was 0.883, except social neglect, the Cronbach α coefficients of other level was ranged 0.457 to 0.856, split-half reliability was ranged from 0.500 to 0.798. The total neglect cut-off score of the two scales grade 1-3 and 4-6 were 125 and 155, respectively. CONCLUSION: The structure of two norms was reasonable. The scales have good stability and reliability.

[Development of the National Norms of Negligence on children aged 0 to 35 months in rural areas of China].

OBJECTIVE: To develop the National Norms of Negligence (NNN) for rural children aged 0 to 35 months. METHODS: According to multi-stage stratified cluster sampling principle, 10 provinces or municipalities (Jilin, Shanxi, Shanxi, Beijing, Anhui, Jiangsu, Hunan, Hubei, Yunnan, Chongqing) in China were selected. A national research group was formed collaboratively. A questionnaire was designed by ourselves. According to several statistical analysis methods, such as item, factor and reliability analysis etc. we determined the norm. The evaluation criteria of the scale were determined by percentile method. Finally, the reliability and validity of the norm were evaluated. RESULTS: In total, 2310 children were surveyed, in which the effective sample were 2227, with an effective rate as 96.4%. The scale consisted of 6 neglected dimensions and 65 items in total. The total Cronbach's a coefficient of the scale was 0.903, with the split-half reliability coefficient as 0.829, the parallel reliability as 0.720 and the re-test reliability as 0.678, respectively. The total neglect cut-off score of this scale was 139. CONCLUSION: The scale seemed to have perfect stability and reliability and all the statistical indicators met the psychometric demands.

Determinants of high weight gain and high BMI status in the first three months in urban Chinese infants.

OBJECTIVES: Investigate the potential factors associated with high weight gain and high BMI status in the first three months of life. METHODS: Totally, 930 healthy neonates (489 boys and 441 girls) were involved in this community-based, prospective study in China. Data on body weight and length were collected at birth, and the 1st and 3rd months. A self-administered questionnaire was used to collect data regarding social demography, gestational status, delivery, and the feeding patterns of children. RESULTS: Prevalences of high BMI status (BMI = 85th p, re WHO BMI standards) increased over time in both sexes, reaching 24.5% and 12.0% for boys and girls, respectively. General linear mixed models indicate high BMI status at 3 months is significantly and inversely associated with breastfeeding, as a proportion of feeding occasions [OR 0.74 (95%CI: 0.56-0.98)] and positively with lower birth weight [OR 2.07 (95%CI: 1.23-3.49)]. High weight gain (=85th p, re WHO velocity standards) in the first 3 months is also significantly associated with breastfeeding [OR 0.76 (95%CI: 0.59-0.96)] and sex, with boys at a higher risk than girls [OR 1.44 (95%CI: 1.07-1.97)]. Living in an extended family is associated with both high weight gain and high BMI status, but with marginal statistical significance. CONCLUSION: Analyses indicate an increasing trend of high BMI status in early infancy. Breastfeeding provides a protective effect for both high weight gain and high BMI status. The results concerning birth weight suggests a target for intervention.