Excerpts

The R 2 change was highly significant F(17,250) = 2.748, p < 0.001.

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.

Yearly distribution of pesticide poisoning Figure 2 depicted a decreasing trend in the number of poisoning cases from 2008 to 2022 ( P < 0.001).

Regarding age distribution, the number of psychogenic AEFI cases in the age groups ≤ 6, 7–17, and ≥ 18 years were 20, 61, and 340, respectively, corresponding to a proportion rate of 0.02%(95% CI: 0.01–0.03), 0.07%(95% CI: 0.05–0.09), and 0.38%(95% CI: 0.34–0.42), respectively, showing an increasing trend with age ( 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.

In the Cox proportional hazards regression analysis (reference: unimpaired cognition without IADL limitations), the HRs (95% CIs) of unimpaired cognition with IADL limitations, MCI without IADL limitations, and MCI with IADL limitations were 1.53 (0.90–2.61), 1.87 (1.28–2.74), and 2.88 (1.65–5.03), respectively, in the full-adjusted model (adjusted model 2), and a significant trend was observed in HRs between the four groups ( P < 0.001, 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.

ovale cases showed an increasing trend (χ2 = 13.690, P < 0.001), peaking in 2021 at 44.44% (Fig. 1 ).

When the number of months worked exceeded 56 months, the risks of all-cause mortality exhibited an increasing trend (Fig. 2 D) ( P < 0.001).

The model explains 24% of the variance and is highly significant ( p < 0.001).

This link between loneliness and life satisfaction is highly significant (χ2 [1] = 654.33, p <.001, V = 0.355).

In cases where the value exceeded 11.35, the significance was considered more robust ( p < 0.01), and above 16.27, the association between the cluster and the terms was highly significant ( p < 0.001).

Although Korea had a lower baseline rate, it experienced a highly significant reduction in presenteeism, dropping from 20.3% to 15.3% during the pandemic ( p < .001).

The association between self-reported thyroid diagnosis and enlarged thyroid on examination was highly significant (OR = 5.9, 95% CI = 2.8-12.5, p < 0.001).

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 .

Statistical significance was considered at a p < 0.05, with a highly significant difference defined as p ≤ 0.001.

The division displayed a highly significant association with care-seeking behavior across all three study periods ( p < 0.001), emphasizing substantial regional differences in healthcare-seeking practices.

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).

Similarly, the proportion differences for the good practices of handwashing with soap or ash (t-test = 8.85; p < 0.001), maintaining a separate playground for young children (t-test = 2.83; p < 0.001), treating household drinking water (t-test = 4.90; p < 0.001), and washing a child’s body, hands, and faces (t-test = 15.78; p < 0.001) were highly significant (p < 0.001).

The years 1994-2006 showed an increasing trend in the amount of pure alcohol consumed per week among men in Estonia (p < 0.001) but not in Finland (p = 0.065).

For those who initiated PrEP due to having multiple sexual partners, a Chi-square test was conducted, revealing a highly significant association ( p < 0.001).

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).

A negative trend of the ratio between quartiles 1 and 4 was observed: 3.36, 1.34, 0.68 and 0.38, respectively (p <0.001, Table 2 ).

A likelihood-ratio test comparing the model to ordinary logistic regression is highly significant for these data ( p < 0.001).

A less restrictive attitude toward antibiotic use was negatively associated with antibiotic knowledge, while a restrictive attitude was suggestive of higher knowledge of antibiotic resistance (borderline significance, p = 0.001).