Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors
Table 5
Crude and adjusted regression coefficients (SE) for the association between stressful life events domains with psychological problems and their profile score based on continuous latent factor and random effect models.
Total ()
Males ()
Females ()
Psychological distress
Anxiety
Depression
Psychological problems profile
Psychological distress
Anxiety
Depression
Psychological problems profile
Psychological distress
Anxiety
Depression
Psychological problems profile
Personal stressors domain
Continuous latent factor model
(1)
0.134 (0.033)
0.261 (0.027)
0.150
0.222 (0.033)
0.115 (0.050)
0.248 (0.043)
0.150
0.129 (0.045)
0.098 (0.043)
0.265 (0.036)
0.150
0.277 (0.044)
(2)
0.187 (0.044)
0.252 (0.037)
0.150
0.198 (0.042)
0.135 (0.061)
0.240 (0.054)
0.150
0.076 (0.056)
0.138 (0.060)
0.252 (0.051)
0.150
0.297 (0.059)
Random effect model
(1)
0.262 (0.015)
0.324 (0.015)
0.271 (0.015)
—
0.202 (0.021)
0.252 (0.021)
0.191 (0.022)
—
0.299 (0.022)
0.370 (0.021)
0.320 (0.020)
—
(2)
0.228 (0.017)
0.253 (0.016)
0.217 (0.016)
—
0.148 (0.024)
0.185 (0.023)
0.147 (0.025)
—
0.283 (0.024)
0.302 (0.022)
0.262 (0.022)
—
Social stressors domain
Continuous latent factor model
(1)
0.200 (0.034)
0.205 (0.029)
0.150
0.349 (0.035)
0.233 (0.046)
0.191 (0.042)
0.150
0.319 (0.045)
0.165 (0.047)
0.186 (0.041)
0.150
0.410 (0.050)
(2)
0.208 (0.041)
0.198 (0.034)
0.150
0.365 (0.041)
0.216 (0.055)
0.141 (0.050)
0.150
0.353 (0.053)
0.190 (0.058)
0.164 (0.051)
0.150
0.462 (0.061)
Random effect model
(1)
0.361 (0.015)
0.425 (0.014)
0.415 (0.014)
—
0.381 (0.020)
0.427 (0.020)
0.446 (0.021)
—
0.370 (0.021)
0.452 (0.020)
0.423 (0.019)
—
(2)
0.393 (0.017)
0.441 (0.016)
0.441 (0.016)
—
0.404 (0.024)
0.415 (0.023)
0.454 (0.025)
—
0.386 (0.023)
0.458 (0.022)
0.437 (0.021)
—
,, and . (1) Crude model: no adjustment was done for confounding variables. (2) Adjusted model: adjustment was done for demographic variables (i.e., age, gender, marital status, and education level) and lifestyle variables (i.e., BMI and physical activity). The gender variable did not adjust for models of males and females.
