The original power calculations were based on attaining a total sample size of 1957 with proportions of minority: majority being 27%: 73% and rural: urban 67%: 33%. This would provide 80% power at a 0.05 significance level using a two-sided z test to detect minimum differences of 0.13-0.14 or differences that are considered small as defined by Cohen 26. Having achieved a sample size of 855, we have 80% power at a 0.05 significance level using a two-sided z test to detect differences of 0.20-0.23 or of the magnitude considered small to medium as defined by Cohen 26.

For this exploratory cross-sectional study, measures of central tendency (e.g., means, medians) and variation (standard deviations) were used to summarize the data, and missing data were excluded from analyses. Differences between subgroups were tested using chi-square (dichotomous data) and two sample t-tests (continuous data) at α<0.05. Analyses were performed using the Statistical Package for Social Sciences (SPSS, version 24, IBM, Armonk, NY).

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