Mental Health Status among Married Working Women Residing in Bhubaneswar City, India: A Psychosocial Survey
Table 5
Results of binary logistic regression predicting the odds of mental health outcomes among women respondents ().
Independent variable
Dependent variable
“” value
Mental health status (normal = 1, poor = 0)
()
Exp ()
Age group (in years)
0.203
20–30
−0.816
0.442
0.104
31–40
−0.765
0.466
0.101
41–50R
Addiction of husband to alcohol/drugs
Yes
−0.690
0.502
0.061
NoR
Chronic illness of family members
Yes
−0.201
0.818
0.691
NoR
Workplace atmosphere
0.152
Conducive
0.735
2.086
0.115
Not conducive
−0.054
0.948
0.933
NeutralR
Attitude of colleagues
Favourable
1.520
4.571
0.004
Unfavourable/indifferentR
Attitude of husband/in-laws
Favourable
0.809
2.245
0.086
Unfavourable/indifferentR
Sharing their own problems with husband
Yes
1.351
3.860
0.005
NoR
Experiencing any conflict
Yes
−0.509
0.601
0.169
NoR
Time for social obligation
Yes
0.661
1.937
0.063
NoR
Spending time for yoga/meditation/exercise
0.019
Nil
−1.932
0.145
0.018
1-2 times/week
0.867
0.420
0.365
>2 times/weekR
Participation in decision making process of family
Yes
0.553
1.738
0.207
NoR
Note: R: reference category; : regression coefficient (log odds ratio). Exp (): odds ratio. The model fit statistics were as follows. Omnibus tests of model coefficients: value of 62.342 with a “” value of 0.000 tells that the final model as a whole fits significantly better than an empty model (model with no predictors). Hosmer and Lemeshow test: value of 3.062 with a “” value of 0.930 indicates that there is no significant difference between observed and predicted probabilities and thus the model fits.