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Table 4 Relationship of PHQ-9 score with lifestyle risk factors: a moderating effect of gender

From: The relationship between lifestyle risk factors and depression in Korean older adults: a moderating effect of gender

Predictors Unstandardized coefficients SE t p 95% CI
Lower Upper
Model 1 (R2 = 0.039, F(3, 3696) = 49.958, p < 0.001)
 LRF −0.218 0.245 −0.889 0.374 −0.697 0.262
 Gender 1.616 0.143 11.32 < 0.001 1.336 1.896
 Interaction 0.480 0.157 3.067 0.002 0.173 0.787
Model 2 (R2 = 0.062, F(9, 3690) = 24.372, p < 0.001)
 LRF −0.345 0244 −1.417 0.157 −0.822 1.133
 Gender 1.373 0.165 8.781 < 0.001 1.067 1.680
 Interaction 0.509 0.156 3.272 0.011 0.204 0.814
  1. LRF Lifestyle risk factors, PHQ Patient healthcare question
  2. Model 1: unadjusted
  3. Model 2: adjusted for age, alcohol consumption, sleeping time, body mass index, income, education level, marital status, residence area, and comorbidities
  4. Unstandardized coefficients represent the slope of the line between the predictor variable (i.e., lifestyle risk factors, gender, and lifestyle risk factors by gender) and the dependent variable (PHQ-9 score)