Barely Significant

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highly significantp<0.051.0× alphaqualifiedgold
Manual forward selection, starting with variables that were more strongly associated with prevalence in univariable analyses, was applied and variables were retained in the multivariable model if p<0.2.The variables that were highly significant (p<0.05) in multivariable meta-regression model were considered as building blocks for interaction terms.
marginally significantp< 0.051.0× alphagold
With the exception of the non-significant difference between the DMN and the single system ( X 2 = 2.54 p = 0.1) and the DMN and the δ-Single between-network connectivity (X 2 = 1.53 p = 0.2) which was likely explained by the relatively large overlap between the DMN and the single system, the results showed that the difference between the fc-behavior correlation coefficients of the two sets of networks was significant (or marginally significant) (Single-SMN: X 2 = 3.6, p< 0.05; Single-VN: X 2 = 5.69, p< 0.05; β-Single –DMN: X 2 = 4.78 p< 0.05; β-Single –SMN: X 2 = 6.64 p< 0.01; β-Single –VN: X 2 = 9.56 p< 0.01; δ-Single – SMN:: X 2 = 3.38 p = 0.06; δ-Single – SMN:: X 2 = 5.52 p< 0.05).
highly significantP <0.051.0× alphaqualifiedgold
The all-cause mortality were more highly significant than other combinations ( P <0.05) when the following combinations exist: “elevated blood pressure”, “elevated fasting plasma glucose + low high-density lipoprotein cholesterol”, “elevated blood pressure + elevated triglyceride + elevated fasting plasma glucose”, “elevated fasting plasma glucose + low high-density lipoprotein cholesterol + elevated blood pressure + elevated triglyceride”.