Unsurprisingly, as a result of sampling variability of a proportion, the standard deviation around prevalence estimates based on a given sample size was greatest around 0.5, 32 but the relative uncertainty of prevalence estimates in low endemicity settings was higher at small sample sizes.
*Mw: (US$2044, July 2007) + Mean and standard deviation ** Prevalence ratio adjusted for per capita income + Mean adjusted for per capita income ++ Losses due to refusal to respond or storage failures.
* Mean ± SD (standard deviation) The prevalence of moderate depression (score 10 14) was 11.5% among preeclamptic women and 5.3% among normotensive controls (Table 2).
Data were collected systematically for every correlation (Pearson's r), odds ratio and variance related to the association between depression and QOL, QOL comparison data between groups with and without depression (mean and standard deviation), and prevalence of depression.
The data are presented as the median values and the interquartile ranges (IQR), the mean value and standard deviation, with prevalence and absolute values, or the reference values and 95% confidence intervals.
Table 1 summarizes the posterior median and standard deviation of prevalence and incidence estimates based on the combination of ANC data and other possibly available data sources such as NPBS and incidence assay data.
§Standard deviations of prevalence estimates ≤0.008.
Means and standard deviations and prevalence of anthropometric and metabolic variables were obtained.
While T-score threshold was modified to −1.5 standard deviations, the prevalence of fractured increased significantly, reaching 60%.
Table 1 presents the means, standard deviations, and prevalence (according to the established cut-offs) for depression, PTSD, and alcohol use at each wave.
