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Statistical analyses used SPSS v24. Analyses employed chi-squared for initial bivariate analyses and logistic regression to examine independent relationships between ACEs, resilience factors, and outcomes of interest. Interactive terms between ACEs and resilience factors were included in logistic regression models. Best fit models were identified using inclusion of independent variables where they significantly (P < 0.05) improved the fit of the model to observed data (for pre-final iterations of models see Additional file 1: Table S2). Adjusted means for having each childhood health conditions, poor childhood health and high secondary school absenteeism were calculated based on best fit logistic regression models using the estimated marginal means function. Differences between adjusted means were tested using pairwise contrast (Wald Chi-squared test) functions .
Along side try forty-eight.5% of men and women said at least one Adept (18.9% 1 Adept, sixteen.2% 2–3 ACEs, 13.4% ?cuatro ACEs). All of the effects displayed good increases with Adept count. Digestion conditions, poor teens health insurance and school absenteeism displayed the number one relative develops anywhere between 0 and ? 4 ACEs categories (Dining table step one). Apart from digestive standards, for every single preferred youthfulness standing, bad teens health and school absenteeism decreased as we age. Women advertised high quantities of allergic reactions, worries and you will digestive conditions. Continue reading
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