The factor structure of the P-DHI was investigated using Confirmatory Factor Analysis. To assess model fit, we used the chi-square statistic (χ
2), relative/normed chi-square (χ
2/df), the comparative fit index (CFI), the root mean square error of approximation (RMSEA), and the standardized root means square residual (SRMR). Typically, a non-significant chi-square value represents a good model fit. However, the chi-square statistic is highly sensitive to sample size. An alternative evaluation of the χ
2 statistic is to examine the relative/normed chi-square (χ
2/df) for the model. A χ
2/df ratio of 3 or less is suggestive of a good model fit (
20). Values greater than 0.90 for CFI and less than .08 for RMSEA indicate reasonably good fit (
21), whereas SRMR should be below 0.10 (
20). Cronbach’s alpha and ICC were used to examine internal consistency and test-retest reliability, respectively. A Cronbach’s alpha value of 0.7 - 0.8, 0.8 - 0.9, and > 0.9 are considered as acceptable, good, and excellent internal consistency, respectively (
22). For ICC, values of < 0.5, 0.5 - 0.75, 0.75 - 0.9 and > 0.9 are considered as poor, moderate, good, and excellent reliability, respectively (
23).
Moreover, the relationship between P-DHI and demographic/clinical characteristics was investigated using Pearson’s correlation coefficient, independent samples t-test, and one-way ANOVA followed by the Tukey post-hoc test. All statistical analyses were carried out using SPSS version 17.0 for windows, except for the CFA, which was conducted using Lisrel 8.80. The level of significance was set at 0.05, and all statistical tests were two-sided.