Demographics for two somaticization scale scores in 471 FD patients
612 patients were diagnosed with FD according to Rome IV criteria. 17.3% (106/612) patients reached anxiety disorders, 13.6% (83/612) subjects had depression co-morbidity, 7.8% (48/612) patients were diagnosed with anxiety and depression co-morbidity. In 471 FD Patients without anxiety and depression co-morbidity, 63.5% (299/471) patients were female, 36.5% (172/471) male. The educational rates for primary school, middle school , high school, college or above were 22.7%(107/471), 47.3%(223/471), 14.4%(68/471), 15.5%(73/471), respectively. Mean age was 43.4±10.3 years (range, 18-67). 20.6% (97/471) patients were diagnosed with EPS, 31.0% (146/471) with PDS, 48.4% (228/471) with EPS and PDS Overlap. In 471 FD patients the demographics for the PHQ-8 and the SSS-8 assessing somatization were shown in Table 1.
Among the somatic scores evaluated by the three scales, there was a significant difference in genders (P<0.05). There were no significant differences between different educational levels and ages (P<0.05).
Items for the developed PHQ-8 selected by four methods
By a discrete degree method dysmenorrhea or other discomfort during menstruation, chest pain, shortness of breath, fainting, palpitations, sexual life pain or other discomfort, numbness/tingling, sweating, heavy hands/foot, bursts of cold/fever, memory loss/forgetfulness, frequency of micturition, urodynia /dysuria, blurred vision, neck and shoulder pain, musce pain were removed due to the standard deviation of the items was < 0.5.
By a correlation coefficient method fainting (r=0.090), dysmenorrhea or other menstrual discomfort (r=0.243), hyperhidrosis (r=0.296) and urodynia / dysuria (r=0.260) removed.
According to factor analysis the KMO value of the initial scale was 0.668, and the Bartlett spherical test chi-square value = 366.894, P < 0.01, which was suitable for factor analysis showing that each item had a factor loading of more than 0.4 in its dimension except for headaches and chest pain.
A Cronbach ɑ coefficient method showed that the ɑ coefficient increased after removing fainting, urodynia / dysuria.
The screened items of the developed PHQ-8 were shown in Table 2 by the discrete degree, a Cronbach ɑ coefficient, correlation coefficient method and factor analysis , including back pain, limb or joint pain, dizziness, fatigue, dry mouth, feeling tired or having low energy, insomnia or other sleep problems, throat discomfort.
Reliability analysis of the developed PHQ-8 and the SSS-8
Intrinsic reliability analysis
To measure whether the problem of the questionnaire is the same concept, The Cronbach coefficient is generally used to test the internal consistency. It is generally believed that when the coefficient is greater than 0.7, the reliability is good [47]. The Cronbach ɑ coefficient of the developed PHQ-8 and the SSS-8 were 0.601,0.553, respectively. The correlation coefficient between each item and the total score were 0.426~0.652,0.359~0.573,respectively.
Criterion validity analysis
The PHQ-15 and the NDI as classic scales, the correlation coefficient between the total score of the PHQ-8, the SSS-8 and the PHQ-15 were (r=0.739, P=0.000), (r=0.835, P=0.000), respectively. Table 3 showed the Nepean Dyspepsia Index as a classic QoL criterion, the developed PHQ-8 appeared to be superior to the SSS-8.
Structural validity analysis for the developed PHQ-8 and the SSS-8
Exploratory factor analysis: the developed PHQ-8 had a KMO=0.668, Bartlett spherical test chi-square = 366.894, P<0.01; the SSS-8 had a KMO=0.680, Bartlett spherical test chi-square = 236.445, P<0.01, of which factor analysis was suitable. The exploratory factor analysis was carried out on the scale, and the principal component method was used to maximize the orthogonal rotation through the covariance matrix and the variance, and the common factor was extracted by using the Kaiser criterion(Eigen value > 1). 3 common factors of the developed PHQ-8 was extracted, the cumulative contribution rate was 55.103%, and the factor load range on the common factor. It was 0.482~0.802, which was higher than the minimum standard of structural validity test 0.4[45,47]; 3 common factors for the SSS-8 were extracted, the cumulative contribution rate was 51.666%, and the factor load range on the common factor was 0.353~0.881. The PHQ-8 and the SSS-8 specific factor loads were shown in Table 4 and Table 5.
Confirmatory factor analysis: validation factor analysis models often use chi-squared values (c2), root mean square (RMR) of residuals, root mean square approximate error (RMSEA), goodness of fit index (GFI), adjusted the goodness fitting index (AGFI), comparative fitting index (CFI), Tucker-Lewis index (TLI), norm-fitting index (NFI) and other indicators are used to evaluate the fitting effect of the model. The smaller the value of c2 ,GFI, AGFI, CFI, TLI, NFI>0.9 indicate that the model fits well, the closer to the “l” fit, the better, RMR, RMSEA<0.05 indicates that the model fits well, the closer to “0” fit The better. The developed PHQ-8 and the SSS-8 were separately performed by exploratory factor analysis, and 3 common factors were extracted. Two scales confirmatory factor analysis had a good 3-factor model fit, shown in Table 6.
Correlation analysis of anxiety, depression, somatization and the DSS for the developed PHQ-8 and the SSS-8 scores in 612 patients
A further clinical application study was carried out, assessing anxiety, depression and somatization mutual effects for the DSS and the NDI, and somatization assessed by the PHQ-8 and the SSS-8 in 612 patients . Correlation analysis showed that anxiety, depression, and somatization were positively correlated with DSS (Table 7). The correlation coefficient between the DSS and somatization assessed by the SSS-8 appeared to be higher than that of the developed PHQ-8.
Linear regression analysis of the effects anxiety, depression, somatization on the DSS
Anxiety, depression and somatization as independent variable the DSS, the DSS was taken as dependent variable, and linear regression analysis was carried out by backward method to further study the effects of anxiety, depression and somatization on DSS. After adjusting for factors such as gender, age, FD type, education level and employment situation, Table 8 showed that depression and somatization were the influencing factors for the DSS , Three model adjusted R2 for the PHQ-8 and the SSS-8 were 0.263, 0.263, respectively, all p<0.001 .The role of somatization might be more important than depression. The standardization β for the SSS-8 seemed to be higher than that for the PHQ-8.
Correlation analysis of anxiety, depression, somatization and QoL
Correlation analysis showed that anxiety, depression, and somatization were positively correlated with the NDI (Table 9). Compared to the SSS-8, the correlation coefficient between NDI and somatization for the developed PHQ-8 seemed to be higher.
Linear regression analysis for the effects of anxiety, depression, somatization on QoL
The Nepean Dyspepsia Index for QoL was taken as dependent variable, anxiety, depression and somatization as independent variable, and linear regression analysis was carried out by backward method to further study the effects of anxiety, depression and somatization on QoL. After adjusting for factors such as gender, age, FD type, education level and employment situation, Table 10 showed that anxiety, depression and somatization were the influencing factors for QoL, three model adjusted R2 for the PHQ-8 and the SSS-8 were 0.224, 0.236, respectively, all p<0.001 .Somatization appeared to be more important than anxiety and depression. The standardization β for the PHQ-8 appeared to be higher than that for the SSS-8.