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

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

Predictors	Unstandardized coefficients	SE	t	p	95% CI
Predictors	Unstandardized coefficients	SE	t	p	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

LRF Lifestyle risk factors, PHQ Patient healthcare question
Model 1: unadjusted
Model 2: adjusted for age, alcohol consumption, sleeping time, body mass index, income, education level, marital status, residence area, and comorbidities
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)

ISSN: 1471-2318