Excerpts

Of these, age group, education level, and marital status were highly significant ( p < 0.001), The risk of disability increased consistently with increase in age of older people.

Overall, the data indicated a decreasing trend in the reported incidence rate as age increased ( χ 2 trend =−5.202, P < 0.001).

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).

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 ].

However, age emerges as a highly significant predictor (X2 = 32.458, p < 0.001), with older individuals demonstrating a greater propensity for ITN usage.

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

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 ).

All observed differences were highly significant ( P < 0.001).

Furthermore, there was a significant trend in the categorical age group analysis (χ2/F = 234.953, p < 0.001).

The Bartlett test of sphericity was highly significant (p < 0.001), which confirmed the prerequisite for factor analysis.

A random effects model using DerSimonian-Laird estimator for τ 2 was used for the pooled RR because the I 2 test of heterogeneity was highly significant ( p < 0.001) [ 22 ].

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 ] .

The ordinal regression model demonstrated excellent global fit, as evidenced by a highly significant likelihood ratio test [χ2 = 277, p < 0.001], confirming the collective explanatory power of all predictors.

The correlation between age of opium users and duration of taking opium regularly was highly significant ( r = 0.485; p < 0.001).

After adjustment for age, sex and socioeconomic status, the associations remained highly significant ( p < 0.001).

The p-values for both measures are highly significant ( p < 0.001), indicating a strong association.

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 ).

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 ).

Overall models were highly significant ( p < .001) and indicated individual responses on included SWA indexes generated overall classification accuracy rates that exceeded chance levels, particularly for the identification of arthritis subgroup membership (see Table 4 ).

This was due to the ten-fold difference in case rates between the two (Table 1 ; with highly significant (p < 0.001) differences across the boundary - unpublished data).

We observed a significant difference in ANC utilization, with most women not receiving ANC, showing an increasing trend overtime (χ 2 = 13.65, df = 2, p = 0.0011).

Travel time also had a highly significant association with BCG (adjRR = 0.95 [0.93-0.98] p value =0.002) and Measles (adjRR = 0.88 [0.79-0.97] p value =0.027) vaccine coverage.

The first class constantly maintained a higher and stable CF level, named the “Stable group”, with a proportion of 72.5%; The second class showed a trend of decline (Slope= -0.09, P = 0.002), was named the “Slow decline group”, with a proportion of 25.8%.

The final difference was highly significant, with a 46% response rate for the former versus 22% for the latter (p =0.002).

Univariate analyses revealed that all of the previously stated factors exhibited highly significant statistical associations ( P < 0 .002), with odd ratios ranging from 1.9 (95 % CI: 1.3–3.0) for friends who smoke to 46.6 (95 % CI: 33.4– 65.2) for smoking tobacco status.