Spss statistics v 25.0 for windows

The general characteristics (continuous and categorical variables) of both mothers and children according to children’s different statuses of general and abdominal obesity were performed using the χ² test or general linear model. Logistic regression models were used to estimate ORs of childhood major abnormal glucose metabolism (hyperglycemia, insulin resistance, and β-cell dysfunction) according to different statuses of general and abdominal obesity. In the joint analyses, children were divided into four groups: normal weight and normal waist circumstance, central obesity only, general obesity only, and general obesity concomitant with central obesity. All analyses were adjusted for children’s sex, age, birth weight, and feeding status (model 1); and then children’s lifestyles including outdoor physical activity time, screen time, sleep time, daily energy intake, daily fiber intake, energy from carbohydrate, protein, and fat based on FFQ (model 2); and further for maternal delivery age, smoking status, education, gestational age, HDP, pre-pregnancy BMI and gestational weight gain (model 3). All the statistical analyses were performed with SPSS statistics V.25.0 for Windows software package (IBM). Two-sided p<0.05 was considered statistically significant.

Data were presented as median and IQR. Non-parametric two-way tests were applied for continuous variables, and specific statistical tests are detailed in figure legends. The 5-year overall survival (OS) and disease-free survival (DFS) were estimated by the Kaplan-Meier method. The survival curves were constructed to compare subgroups in terms of clinical outcomes, and were detected by log-rank test. Univariate and multivariate Cox regression models were established to evaluate the impact of covariate on prognosis and the interaction between covariates. The statistical analyses were performed using IBM SPSS Statistics V.25.0 for windows (SPSS, Chicago, Illinois, USA), and two-sided p<0.05 was regarded as statistically significant.

According to power calculations, the amount of children needed was sufficient for this study.11 (link) Frequencies with percentages were used as descriptive statistics.
The association of the doctors’ interventions with the doctor-evaluated and parent-evaluated benefis of the health check were analysed using multilevel logistic regression to account for the clustered nature of the data. Four-level models with child at level one, school at level two, doctor at level three and city/municipality at level four were used and were adjusted for grade. ORs with 95% CIs were used to express the results. SAS V.9.4 System for Windows was utilised for multilevel modelling. Other analyses were conducted using IBM SPSS Statistics V.25.0 for Windows. P values less than 0.05 were regarded as statistically significant.

SPSS software (IBM SPSS Statistics V.25.0 for Windows; IBM) was used for statistical analysis. We used descriptive statistics to assess the characteristics of the concussed bicyclists in the study group. The Kruskal-Wallis test was used to measure the relationships of age and the number of previous concussions in relation to the duration of symptoms and the number of PCS symptoms. The data did not follow a normal distribution, and so the Kruskal-Wallis test was used instead of the one-way analysis of variance. Similarly, the Mann-Whitney U test was used instead of the independent-samples t-test to assess sex, the presence of a pre-existing condition, helmet use and concussion mechanism in relation to the duration of symptoms with a 95% CI. The Mann-Whitney U test was also used to assess differences in sex, the presence of pre-existing conditions, helmet use and duration of symptoms in relation to the number of reported PCS symptoms. For comparison to the collision sports group, normality was assumed and the independent-samples t-test was used to assess differences in sex, mean age, mean number of previous concussions, duration of symptoms and number of persistent symptoms between the bicycling and the collision sports groups. Relative risk (RR) was calculated to compare the incidence of loss of consciousness (LOC) and amnesia. P<0.05 was regarded as statistically significant.