This revealed a highly significant difference (p < 0.001), indicating that, among the subjects who declared sexual activity, younger subjects debuted earlier than their older counterparts.
Excerpts
In accordance with previous studies, there was a highly significant inverse bivariate association of parental SEP with AL ( r = −.26, p < .001) (Additional file 3 : Table S2: Correlation matrix of all study variables).
The results indicated that there were highly significant differences across the different educational stages in all three dimensions ( p < 0.001), as shown in Table 3 and Fig. 2 .
Parental weekly total ST also demonstrated an increasing trend from 2011 to 2015 (fathers: F=55.94, p<0.001; mothers: F=33.10, p<0.001).
The random effects at the cluster level were highly significant ( p < 0.001), confirming that unobserved community-level factors have a substantial impact on dietary outcomes.
The overall suicide rate showed a decreasing trend for 26 years, with fluctuating trends from year to year with a significant trend change with a p < 0. 001 for X 2 .
A subgroup analysis of the number of ADR reports finally revealed that the increment in ADR-reporting was solely and highly significant (P < 0.001) related to ADRs of non CAM drugs.
Phase 2: psychometric evaluation Construct validity: EFA Prior to EFA, data suitability was confirmed: the KMO measure was 0.86 (acceptable > 0.7), indicating adequate sampling correlations, and Bartlett’s test of sphericity was highly significant (χ2 = 2845.67, df = 666, p < 0.001), rejecting the null hypothesis of an identity matrix.
Among participants with MetS, there was a significant trend for both higher fasting and 2-hour plasma glucose levels with increasing BMI (p < 0.001 for both, Tables 1 and 2 ).
MoH/AA monitoring data found a highly significant response ( p < 0.001) for water treatment by December 2014 with a 50% increase (37 to 87%) before and after training which rose to 91%, before dropping slightly to 89% by 2017 (Table 5 ).
For 1990–92, the p -value for the interaction between the three fixed effects was highly significant ( p < 0.001) suggesting that the deprivation inequalities in AMI incidence differed between age groups and that this relationship differed for men and women.
The model explains 24% of the variance and is highly significant ( p < 0.001).
Highly and moderately significant differences were discerned by p -values of p < 0.001 and p < 0.05 respectively [ 42 ].
Because the crowd Brier scores were very skewed (1.37), a Wilcoxon Signed-Ranks Test was run and the output indicated that the crowd aggregation advantage over chance forecasting was highly significant (Z = 1774; p < .001).
Model A in Table 3 shows highly significant ORs that generally increased from intact to maternal, paternal and no-parent families (p < 0.001 for trend).
Moreover, ‘DRG payment cases’ performed an insignificant reduction in readmission rate, whereas FFS reversion cases exhibited an increasing trend (1.49%, P < 0.001) (Fig. 2 ).
No differences were seen in puberty score by weight status, but a highly significant difference was seen for parental education (p < 0.001), with parents of overweight adolescents having less education.
The regression coefficient between BMI and caries was highly significant (p < 0.001).
A likelihood-ratio test comparing the model to ordinary logistic regression is highly significant for these data ( p < 0.001).
The reporting of any active commuting time showed a positive trend (JT test, p -value <0.001) with neighborhood education level.
Occupation, education, age, residence, and monthly expenditure all showed highly significant associations with KAP ( p < 0.001), with occupation (χ2=383.314) and education (χ2=363.490) emerging as the most influential factors (Table 3 ).
SDQ prediction by the algorithm matching an independent clinical diagnosis has been shown to be substantial and highly significant (Kendall's tau-b 0.49-0.73; p < 0.001) with "abnormal" SDQ prediction for any given disorder correctly identifying 81-91% of the children with a confirmed clinical diagnosis, showing that the algorithm is sufficiently accurate and robust to be of practical value [ 32 ].
This variation is of highly significant value (p < 0.001).
Furthermore, the overall contributions (main and interaction effect) of both "jacked up" and "barriers to health or harm reduction services" to the final model were highly significant ( p < 0.001 for both variables).
Conversely, sadness demonstrated a highly significant difference ( p < 0.001), with more than half of the cases (56.8%) reporting sadness compared to only 11.9% among controls.