borderline significancep = 0.07
Additionally, subjective social status may be a potential influencing factor for depression in middle-aged individuals, exhibiting borderline significance ( p = 0.07).
Additionally, subjective social status may be a potential influencing factor for depression in middle-aged individuals, exhibiting borderline significance ( p = 0.07).
The association approached significance ( p -value = 0.07) in the happiness model for females, coefficient = − 0.06 (95% CI = − 0.13, 0.01).
heart disease and cancer, and will play an important role in limiting global warming." Opening versus Concluding Framing Statements The Wilcoxon signed rank test used to compare segments on their reactions to the opening versus concluding framing statements for each segment showed a significant or marginally significant main effect in the Alarmed ( p = .07), Concerned ( p < .01), Cautious ( p = .05), Disengaged ( p = .03) and Dismissive ( p < .01) segments; the trend was not significant in the Doubtful ( p = .14) segment.
Among migrants, age showed almost significant associations with HRQoL (p = 0.07).
Seropositive pathogen burden was associated with higher circulating levels of IL-6 and fibrinogen but the associations were of borderline significance (p = 0.07 and 0.05 for trend, respectively).
Within the intervention arm, the Intervention Fidelity Index suggested a positive trend toward greater likelihood of vaccination at the initial visit, but it was only marginally significant ( p = 0.07) (See Additional file 1 : Table S3).
At 21 years, severe combined victimization and harassment (borderline significance; p = 0.07) is experienced more often by females.
However, the decline in 'bad news' articles about depression fell short of significance (Mantel-Haenszel χ 2 = 3.29, d.f. = 1, p = 0.07).
The prediction from intention to breastfeeding was weaker for exclusive breastfeeding persistence until 6 months (Table 4 ): a marginally significant association was found between intention to breastfeed and exclusive breastfeeding at 6 months (95% CI 0.88–19.42, P < 0.07, OR 4.13).
HL, on the other hand, showed only a marginally significant effect on attitudes ( p = 0.070).
Group differences in change in energy intake from the school year to summer were borderline significant, as energy intake remained relatively unchanged in CAMP participants but increased among participants in SAU ( p = 0.07).
This study showed that the chances of males contracting infections are 1.8 times higher compared to females but marginally insignificant ( P = 0.07, CI: 0.82–3.95).
While fewer negative behaviors were observed in the treatment group, the difference was only marginally significant ( p = 0.07).
While no significant difference in absolute change in behaviors was noted between groups, participants not infected during follow-up showed a trend towards greater decreases in masking behavior in indoor public spaces (-0.49 vs. -0.33, p = 0.07) or masking in other people’s houses (-0.30 vs. -0.13, p = 0.06) compared to infected participants.
Similarly, multiple imputation results suggested a marginally significant increase in vegetable consumption ( p = 0.07), a decrease in breakfast consumption ( p = 0.09), and an increase in eating fast food (p = 0.05).
NHB also had significant absolute weight loss [median (IQR): 1.8 kg (− 1.0–7.6), p = 0.04] at 6 months; percent weight loss was marginally significant [median (IQR): 1.5% (− 1.2–7.5) p = 0.07].
Median AFFSS score went from 4 [2; 5] at baseline to 2 [0; 3] at endline ( p < 0.01), which was reflected in a reduction in food-related coping strategies and accepting gifts ( p < 0.01) and a borderline significant decrease in borrowing money to obtain food ( p = 0.070) and borrowing food ( p = 0.063).
Among older children, a marginally significant association between SV on mobile devices of up to 1 h (β = − 0.62 h, 95%CI: -1.11, − 0.13, overall P = 0.07) per day and sleep duration was observed when compared with no SV.
This association was borderline significant in the presence of more than one dysfunction hindering one’s sexuality (4% versus 2%, P = 0.07).
General health was significantly lower as a function of time since deployment after adjusting for probable PTSD (p = 0.03), age (p = 0.001) or gender (p < 0.001), and showed a trend when the combination of covariates were included in the model (p = 0.07).
This association remained borderline significant in a regression analysis predicting 2011 TCS scores (p = .07), after controlling for social disapproval, societal support, and smoking prevalence (Table 2 ).
Although we expected environmental factors (financial and insurance-related) to have prognostic value for the duration of a disability claim, none of the environmental factors contributed significantly to the final model, although the insured daily compensation was borderline significant (p = 0.07).
The difference in proportions between Year 1 and 3 was statistically significant ( p < 0.05), with a trend towards significance between Year 2 and 3 ( p = 0.07).
As can be seen, the association between weight status and scores on the K-10 remained significant (p = 0.04) after controlling for demographic variables and approached significance (p = 0.07) after physical health and physical activity were added to the model.
Age-group, as a continuous variable, was a significant predictor of symptoms other than due to RSI (p = 0.05), marginally significant (p = 0.07) for the outcome 'symptoms of upper limbs' – with a trend for protection with increasing age, but became non-significant for the two other outcomes (Table 6 ).