The analysis imputed 8 missing studies, but the adjusted pooled effect size remained highly significant (OR = 0.745, 95% CI : 0.677 to 0.819, p < 0.001).
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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 ).
The Wald χ2 values were consistently large, ranging from 27.464 to 105.115, and all p-values were highly significant ( p < 0.001), demonstrating a robust and statistically significant association between trust and adherence to preventive behaviours.
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).
The indexes for awareness of smoking harm and for awareness of SHS harm were both in the same direction with these differences being highly significant (p < 0.001) (Table 3 ).
It achieved highly significant improvements (F = 428.31, df = 2, P = 0.001) in consistent condom use behaviour among participants assigned to the combination of peer education and manager training [ 58 ] .
Furthermore, there was a significant trend in the categorical age group analysis (χ2/F = 234.953, p < 0.001).
Time from diagnosis to treatment initiation exceeded 60 days in >50% of cases in all age groups, with an increasing trend in women of 50–69 (APC = 1.27; p < 0.001) and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:\ge\:$$\end{document} 70 years of age (APC=1.83; p < 0.001).
In the low income stratum, highly significant associations (p < 0.001) are observed between 'less than good' SRH and 4 of the social ties variables: felt alone, received no phone call, has no friends and not a member of a club.
There was a moderately significant relationship between PAM scores and visually impaired individuals’ self-management, self-efficacy, healthy life awareness, social relations, and environment ( p < 0.001).
After adjustment, there remained a significant trend, with decreasing levels of deprivation associated with increasing take-up rates of the educational resources (p = .001) [ 28 ].
The percentage of participants with BLLs above the current reference value showed a decreasing trend with the increasing poverty-to-income ratio ( p -value < 0.001), while no association was found across educational levels.
The same results were recorded for obesity but for only girls with a highly significant difference (( P < 0.001).
Results There was a decreasing trend in mammography screening rate for the 40-49-year age group between 2013 and 2020 (Annual Percentual Change- APC= -10.79; p < 0.001), and stability in 2020–2022.
This link between loneliness and life satisfaction is highly significant (χ2 [1] = 654.33, p <.001, V = 0.355).
The intervention group demonstrated a highly significant improvement in their mean scores of MHL at the end of day three of the workshop (mean difference 19.08, 95% CI 17 to 21.16, Cohen’s d = 2.63; p < 0.001) and also in the second post intervention assessment after 3 months (mean difference 16.61, 95% CI 13.96 to 19.26, Cohen’s d = 1.86; p < 001) (Table 3 ).
Residence type was also a highly significant predictor, as nomadic households displayed markedly reduced odds of higher SER (AOR = 0.19; 95% CI: 0.17–0.22; p < 0.001) relative to urban households; however, no significant difference was detected between rural and urban residences ( P = 0.365).
The constant term (intercept) has a coefficient of 226.788, with a standard error of 13.364 and a highly significant t-value of 16.969 ( p < 0.001), indicating that it contributes significantly to the model.
Statistical significance was considered at a p < 0.05, with a highly significant difference defined as p ≤ 0.001.
The ‘paired difference’ between these two sets of scores was highly significant with an estimated mean difference of about 8 (t = 11.287, df = 102, p < 0.001).
When PIR was examined as a categorical variable, individuals in the highest PIR tertile exhibited a 0.1 lower TyG index compared to those in the lowest tertile in the crude model(β = -0.10, 95% CI:-0.13~-0.06, P < 0.001); Following adjustments in both Model 1 and 2, the association between PIR and TyG remained marginally significant (β =-0.17, 95% CI:-0.21~-0.13, P < 0.001 and β = -0.11, 95% CI:-0.15~-0.07, P < 0.001, respectively).
The difference in paternal age between non-Down syndrome and Down syndrome babies was highly significant in both samples: t = 12.94 (P < 0.001) in California and t = 5.04 (P < 0.001) in the Czech Republic.
Table 4 showed that university students with direct exposure to war had significantly higher PSQI scores (M = 10.57) compared to those with indirect exposure (M = 8.04) and no exposure (M = 6.59), with a highly significant p-value ( p < 0.001).
Median age had a decreasing trend from non-drinkers (57.9 years) to narcology patients (47.5 years) ( p < 0.001).
From 2004 to 2021, the PD mortality and standardized mortality rates in both urban and rural areas showed an increasing trend (urban: AAPC = 5.13%, AAPC ASMR =1.76%, P < 0.001; rural: AAPC = 8.40%, AAPC ASMR =4.29%, P < 0.001).