Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, People's Republic of China.
College of Animal Science, Guizhou University, Guiyang, People's Republic of China.
Publications dans "Protéines de la matrice virale" :
Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, People's Republic of China.
College of Animal Science, Guizhou University, Guiyang, People's Republic of China.
Publications dans "Protéines de la matrice virale" :
Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, People's Republic of China.
College of Animal Science, Guizhou University, Guiyang, People's Republic of China.
Publications dans "Protéines de la matrice virale" :
Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, People's Republic of China.
College of Animal Science, Guizhou University, Guiyang, People's Republic of China.
Publications dans "Protéines de la matrice virale" :
Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, People's Republic of China.
College of Animal Science, Guizhou University, Guiyang, People's Republic of China.
Publications dans "Protéines de la matrice virale" :
Key Laboratory of Animal Genetics, Breeding and Reproduction in the Plateau Mountainous Region, Ministry of Education, Guizhou University, Guiyang, People's Republic of China.
College of Animal Science, Guizhou University, Guiyang, People's Republic of China.
Publications dans "Protéines de la matrice virale" :
Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada; Life Sciences Institute, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada.
Publications dans "Protéines de la matrice virale" :
Life Sciences Institute, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada; UBC/LSI Bioinformatics Facility, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada.
Publications dans "Protéines de la matrice virale" :
Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada; Life Sciences Institute, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada. Electronic address: ej@mail.ubc.ca.
Publications dans "Protéines de la matrice virale" :
Computer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi, Tamil Nadu, India. Electronic address: drbioselva@gmail.com.
Publications dans "Protéines de la matrice virale" :
Computer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi, Tamil Nadu, India. Electronic address: skysanjeev@gmail.com.
Publications dans "Protéines de la matrice virale" :
To examine parent-reported key family meal characteristics to advance the conceptualization of how parents perceive family meals to inform public health interventions and clinical practice....
Cross-sectional study design using ecological momentary assessment (EMA) and online survey data from a racially and ethnically diverse population....
Parent/child dyads (N = 631) with children ages 5-9 years old from diverse, low-income households....
Multi-level logistic regression, conditional fixed effects estimators and multi-level logistic models with inverse probability weights....
Characteristics of meals that parents considered family meals (N = 3328) included: homemade, prepared by the caregivers, eaten at home (table/counter), most of the nuclear family gathered, having a co...
Parents consider family meals to be meals that take place at home around a table/counter, with homemade food prepared by the caregivers, and most family members gathered enjoying a conversation withou...
Stunting remains a public health concern in developing countries. Factors related to stunting have been categorized using various frameworks. Family plays an important role in providing nutrients for ...
A rich language environment is an important element of a nurturing home environment. Despite their proven importance, vocabulary and conversation have been shown to vary widely across households-even ...
Using Language Environment Analysis (LENA) automated language-analysis system, this study measured the home language environment of 38 children aged 20-27 months in Northwest rural China. Our primary ...
In this paper, by comparison, we found that the home language environment of our rural sample fell far behind that of urban households. We also identify significant, positive correlations between lang...
In this paper, we present the first ever findings using the LENA system to measure the home language environment of young children from poor rural communities in China. We found that the home language...
Sociodemographic and psychosocial family factors have profound implications for adolescent development, identity formation and mental health during the adolescent years. We explored the associations o...
Family therapy for schizophrenia has been demonstrated to be effective and is recommended by international clinical guidelines. Reviews of family therapy research conclude that interventions may preve...
Family environment is a key factor affecting children's health. However, little is known about whether and how the family environment affects sleep duration in children. This study investigated the ef...
Data were obtained from the Taiwan Birth Cohort Study. A total of 19,400 children who completed 6-month, 18-month, 3-year, 5.5-year, and 8-year surveys were analyzed. The physical family environment c...
The children living in crowded households had shorter sleep durations (β = -0.03, p < .001). Superior housing quality and family functioning were associated with longer sleep durations (β = 0.04 and 0...
Both physical and social characteristics of the family environment are critical to sleep duration in children. The effects of family environment characteristics on sleep duration in children are in pa...
Internet addiction of adolescents has aroused social concern recently. The present study aims to identify predicting factors of internet addiction on adolescents....
The demographic characteristics and psychological characteristics of 50, 855 middle school students were investigated through Internet Gaming Disorder Scale- Short Form(IGDS9-SF), Smartphone Applicati...
IGDS9-SF, SABAS and BSMAS are positively correlated with SDQS, PQ-16, PHQ-9, GAD-7 and MPVS (r-values ranging from 0.180 to 0.488, p < 0.01). IGDS9-SF, SABAS and BSMAS are negatively correlated with W...
The present study found that demographic characteristics, family environment and psychosocial factors were associated with internet gaming addiction, social media addiction and smartphone addiction. N...
The purpose of this study was to evaluate family and home/neighborhood characteristics associated with physical activity (PA) and adiposity among young children living in a small rural community....
Participants were 30 parents and their youngest child aged 2-5 years. Children wore accelerometers for 7 days. Parents completed questionnaires about family lifestyle behaviors, parenting practices, a...
None of the family lifestyle behaviors were associated with child BMI percentile. Backyard size was inversely associated with moderate to vigorous physical activity on weekday afternoons (rho = -0.488...
Findings suggest neighborhood safety, sidewalks, and use of public playgrounds are positively associated with MVPA among preschoolers, while backyard size and access to play equipment at home are not....
The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children [age: 8.20 (±1.01) years] and their parents from six European countries. The current work used pre-interv...
We aimed to identify subgroups of young children with differential risks for ADHD, and cross-validate these subgroups with an independent sample of children. All children in Study 1 (N = 120) underwen...
