Table 3.
Variables | Men |
Women |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Crude ORa | 95% CI | p Value | Adjusted ORb, c | 95% CI | p Value | Crude ORa | 95% CI | p Value | Adjusted ORb, c | 95% CI | p Value | |
Volunteer activity | ||||||||||||
Never | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | ||||
Sometimes | 0.48 | 0.31–0.75 | 0.001 | 0.82 | 0.50–1.34 | 0.430 | 0.57 | 0.38–0.86 | 0.008 | 0.89 | 0.58–1.38 | 0.607 |
Habitually | 0.57 | 0.31–1.04 | 0.066 | 1.27 | 0.66–2.46 | 0.479 | 0.33 | 0.14–0.74 | 0.007 | 0.71 | 0.30–1.65 | 0.421 |
p Value for trendd | 0.002 | 0.867 | < 0.001 | 0.505 | ||||||||
Physical activity | ||||||||||||
Never | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | ||||
Sometimes | 0.53 | 0.33–0.85 | 0.008 | 0.75 | 0.45–1.24 | 0.263 | 0.27 | 0.13–0.56 | < 0.001 | 0.33 | 0.16–0.69 | 0.003 |
Habitually | 0.32 | 0.15–0.69 | 0.004 | 0.45 | 0.20–1.01 | 0.053 | 0.07 | 0.01–0.47 | 0.007 | 0.09 | 0.01–0.68 | 0.019 |
p Value for trendd | < 0.001 | 0.023 | < 0.001 | < 0.001 | ||||||||
Outdoor leisure activity | ||||||||||||
Never | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | ||||
Sometimes | 0.42 | 0.28–0.63 | < 0.001 | 0.52 | 0.33–0.80 | 0.003 | 0.60 | 0.44–0.82 | 0.001 | 0.67 | 0.48–0.94 | 0.021 |
Habitually | 0.26 | 0.17–0.40 | < 0.001 | 0.38 | 0.23–0.63 | < 0.001 | 0.29 | 0.20–0.43 | < 0.001 | 0.39 | 0.25–0.59 | < 0.001 |
p Value for trendd | < 0.001 | < 0.001 | < 0.001 | < 0.001 | ||||||||
Art activity | ||||||||||||
Never | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | 1.00 | Reference | ||||
Sometimes | 0.59 | 0.37–0.93 | 0.023 | 0.82 | 0.50–1.34 | 0.420 | 0.61 | 0.43–0.89 | 0.009 | 0.78 | 0.53–1.16 | 0.223 |
Habitually | 0.39 | 0.19–0.80 | 0.010 | 0.55 | 0.26–1.17 | 0.118 | 0.34 | 0.18–0.63 | 0.001 | 0.60 | 0.32–1.13 | 0.112 |
p Value for trendd | 0.001 | 0.200 | < 0.001 | 0.123 |
OR = odds ratio, CI = confidence interval.
The associations between each leisure-time activity and psychological distress were analyzed using a logistic model.
The associations between leisure-time activities and psychological distress were analyzed using a logistic model. All four leisure-time activity variables were included in the model simultaneously.
Adjusted for sex, living alone, marital status, employment status, educational background.
Multiple regression analysis was used by assigning dummy variables of 0, 1, and 2 to frequency of each leisure-time activity.