29 research outputs found
Mediation model diagram.
Note: The numbers listed in the figure are standardized solutions; The level of the kindergarten and gender are included as control variable in the model, but is not shown in the figure for the sake of simplicity; "pci1-pci4" refers to the four items of parent-child activity; ** p p < 0.001.</p
Descriptive statistics of each variable and its correlation analysis results.
Descriptive statistics of each variable and its correlation analysis results.</p
Direct effect model.
Note: The numbers listed in the figure are standardized solutions; The level of the kindergarten is included as a control variable in the model, but is not shown in the figure for the sake of simplicity; ** p p < 0.001.</p
Hypothetical model diagram.
This study examines the relationship between family socioeconomic status, parent-child activities, and young children’s digital development. Using the Family SES questionnaire, the parent-child activities questionnaire, and the 5 to 6 year old children’s number sense development scale as research instruments, 314 young children (M = 70.42, SD = 3.47). The results show that: (1) Family Socioeconomic Status can significantly positively predict the young children’s number sense development; (2) Parent-child activities play a partial mediating role in the relationship between family socioeconomic status and the young children’s number sense development. This study provides specific guidelines and recommendations for improving the young children’s number sense development.</div
Mediating effect value and Bootstrap test results.
Mediating effect value and Bootstrap test results.</p
Cluster Analysis of Unhealthy Lifestyles among Elderly Adults with Prediabetes: A Cross-Sectional Study in Rural China
Provide enhanced digital features for this article
If you are an author of this publication and would like to provide additional
enhanced digital features for your article then please contact [email protected].
The journal offers a range of additional features designed to increase
visibility and readership. All features will be thoroughly peer reviewed to
ensure the content is of the highest scientific standard and all features are
marked as ‘peer reviewed’ to ensure readers are aware that the content has been
reviewed to the same level as the articles they are being presented alongside.
Moreover, all sponsorship and disclosure information is included to provide
complete transparency and adherence to good publication practices. This ensures
that however the content is reached the reader has a full understanding of its
origin. No fees are charged for hosting additional open access content.
Other enhanced features include, but are not limited to:
• Slide decks
• Videos and animations
• Audio abstracts
• Audio slides</p
MOESM1 of Systematic review and meta-analysis of the relationship between sleep disorders and suicidal behaviour in patients with depression
Additional file 1: Table S1. PRISMA Checklist. Table S2. Details of search strategy. Table S3. Meta-regression analysis. Figure S1. Funnel plots of the association between sleep disorders and suicidal behaviour. The solid line represents the overall pooled estimate for all included studies. Dashed lines represent 95% confidence intervals. Egger’s test gave a result of − 2.17, P = 0.045
Partial Factor Productivity (PFP), Agronomic Nitrogen use efficiency (ANUE), Apparent N recovery efficiency (ANRE), and physiological N use efficiency (PNUE) by Oat under different fertilizer treatments in 2016 and 2017.
Partial Factor Productivity (PFP), Agronomic Nitrogen use efficiency (ANUE), Apparent N recovery efficiency (ANRE), and physiological N use efficiency (PNUE) by Oat under different fertilizer treatments in 2016 and 2017.</p
Above ground biomass with respect to N accumulation.
The relation between above ground biomass yield and N accumulation in the year (A) 2016, (B) 2017 and (C) both year pooled data.</p
Above ground biomass yield with respect to nitrogen concentration and accumulation under different treatment across the year.
(A, B) Changes in above ground biomass yield partitioning in grain and straw during 2016 & 2017, (C, D) changes in partitioning nitrogen concentration in grain and straw during 2016 & 2017, (E, F) changes in partitioning nitrogen accumulation in grain, and straw during 2016 & 2017. Bars indicate standard errors (n = 4). Treatments with different letters for the same variable analyzed (straw or grain) are significantly different according to the LSD test (P <0.05). T1 = Control, T2 = 100% CN, T3 = 100% CN + MBF, T4 = 75% CN + 25% ON + MBF, T5 = 50% CN + 50% ON+ MBF, T6 = 100% ON + MBF and T7 = 100% ON.</p