Excerpts

There was no change in the age distribution of gunshot wounds in 2012–2018, but the age distribution of stab wounds showed a decreasing trend until 2018 [ 31 ].

Distribution of BIRADS classifications Figure 6 illustrates an increasing trend in the number of patients screened each year, reaching a peak of 441 in 2022.

Intriguingly, except for the high SDI regions, the other four SDI regions had age-standardized DALY ratios greater than 1 for both men and women, with an overall trend of these ratios forming an inverted "U" shape, peaking in the 20–29 age group (Figure S2C).

The LE8 metrics were almost significantly lower in people with UI, except for the diet score (higher score of HEI-2015 in people with UUI, 41.3 ± 31.3).

The cohort and period rate ratios varied by subtype, showing an increasing trend for IS and ICH but a decreasing trend for SAH.

However, nutritional literacy can be significantly affected by multiple factors such as social environment and economic conditions, and there may be significant differences in these aspects among individuals of different ages, which makes the scale lack a certain degree of relevance and adaptability in its application.

The correlations were highly significant for all cases, although the highest correlations were for the “emotional burden of work” (correlation was 0.49 for psychological distress and 0.42 for physical distress) and “work–family conflict” (correlation of 0.45 for psychological distress and 0.36 for physical distress).

Third, we also found that stunting of children by adolescent mothers, was marginally statistically significant.

In particular, severe disabilities and hearing and speech disabilities showed significantly higher risks of all-cause death (aHR: 1.40, 95% CI: 1.06–1.85 and aHR: 1.58, 95% CI: 1.17–2.15, respectively), with marginal significance for mild disabilities (aHR: 1.20, 95% CI: 0.99–1.45) and mental disorders (aHR: 1.92, 95% CI: 0.98–3.73).

Mild disabilities demonstrated a marginally significant increase in the risk of all-cause death (aHR: 1.20, 95% CI: 0.99–1.45).

In contrast, the proportion of first order births was slightly higher (39%) compared to second (31%) and third-and higher order births (30%) for the mother during 2001–2018, reflecting an overall trend of declining fertility.

Although the quality of the videos shows an increasing trend, there was still no statistical difference when comparing them (Table 7 ).

Conversely, cluster-4 (five strategies) and cluster-5 (four strategies) had marginally significant effects, and they both had actual higher total energy intakes.

Regardless of weight loss or weight gain categories, there was a significant trend toward reduced mortality as the number of weight loss strategies increased ( P trend < 0.05).

Stratification of CDAI into quartiles revealed a significantly reduced risk of epilepsy in higher CDAI quartiles (Q3 and Q4) compared to the lowest quartile (Q1) (Q3: OR = 0.419; p = 0.030, 95% CI [0.192, 0.914]; Q4: OR = 0.421; p = 0.004, 95% CI [0.239, 0.742]), with a significant trend observed across quartiles (p for trend = 0.013).

There are highly significant differences of 95%.

As reported in some studies, there may be significant differences in the amounts of visceral adipose and muscular tissues and in metabolic profiles among individuals with the same BMI [ 11 , 12 ].Currently, waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR) have been gradually used as the predictors of obesity in OA [ 13 ].

However, a marginally significant interaction between the “prudent” pattern and BMI was found (p for interaction 0.098).

The elderly population showed a peak at the middle of the study period and a decreasing trend after the peak.

We observed a negative trend between arsenic concentrations in the 3rd trimester and birth weight, birth length, head circumference, and PI [weight: aβ = -60.368 (95% CI: -128.116, 7.380), P = 0.081; length: aβ = -0.134 (95% CI: -0.351, 0.084), P = 0.288; head circumference: aβ = -0.131 (95% CI: -0.341, 0.079), P = 0.220; PI: aβ = -0.299 (95% CI: -0.769, 0.170), P = 0.211].

However, M3 demonstrated a superior fit over M1, M4 outperformed M2, M5 outperformed M4, and M6 was superior to M3 (reaching marginal significance).

For the remaining categories there was an increasing trend.

Municipalities with very high IBP showed an increasing trend (AAPC 2.1, 95%CI 1.6 to 2.7), while the other categories showed a decreasing trend, particularly in municipalities with very low IBP (AAPC − 1.9, 95%CI -2.2 to -1.5).

Previous studies, however, found no association between burnout and teaching experience [ 91 , 92 ] or found a rather non-linear trend suggesting that after increasing levels of burnout in the first decade of teaching are followed by a decreasing trend [ 93 ] In addition, we also found that age was negatively associated with burnout suggesting that particularly the time spent with teaching and not chronological age is a risk factor of burnout.

Zhang [ 16 ] applied the Markov model to predict that there would be about 52.6 million older adults aged 80 or above in 2025, and the long-term care needs would show an increasing trend.