The
study included 30 female domestic workers from organization and 30 free-lance
domestic workers. The female domestic workers from organization were significantly
older in age, earned significantly less and significantly more were widowed.
There were no differences in education level, religion, number of family
members, residence, habit of tobacco use and chronic illnesses (Table 1).
Nature of work is same
whether the woman is a member of an organization or not. It depends on
employers requirement. Most of them work in multiple houses. The hours of work
are not fixed, as it depends on the jobs she has to do. This is same in case of
organized or unorganized. Maintaining punctuality is most stressful to them.
Table
1: Demographic
characteristics of organized and unorganized domestic workers.
|
Characteristics
|
Unorganized
|
Organized
|
T test, chi square
test, Fishers exact test, Mann Whitney U test
|
P
|
|
Age
|
Mean
|
32.93
|
47
|
t= -5.130; df=58
|
P=0.000
S
|
|
SD
|
8.35
|
12.49
|
|
Range
|
23-54
|
28 - 70
|
|
Religion
|
Hindu
|
24
|
25
|
2.487
|
P=0.288 NS
|
|
Buddhist
|
4
|
1
|
|
Muslim
|
2
|
4
|
|
Education
|
Illiterate
|
6
|
9
|
4.815
|
P=0.186 NS
|
|
Primary
|
6
|
9
|
|
Below Matric
|
12
|
11
|
|
Matric & more
|
6
|
1
|
|
Marital status
|
Unmarried
|
0
|
2
|
13.997
|
P=0.0009 S
|
|
married
|
28
|
15
|
|
widow
|
2
|
13
|
|
Family Members
|
Mean
|
4.53
|
4.13
|
MW U=444.500
|
P=0.934 NS
|
|
SD
|
2.05
|
1.96
|
|
Range
|
2 to 10
|
1 to 9
|
|
Resident of
|
Pune
|
6
|
8
|
0.373
|
P=0.542 NS
|
|
Outside
|
24
|
22
|
|
Monthly income
|
Mean
|
9600
|
3083.33
|
t= 7.644; df=58
|
P=0.000 S
|
|
SD
|
4522.74
|
1160.29
|
|
Range
|
3000-25000
|
1000-5000
|
|
Monthly
Income Distribution
|
?2000
|
0
|
8
|
Fishers exact test
|
P=0.00 S
|
|
2001-5000
|
2
|
22
|
|
5001-10000
|
19
|
0
|
|
10001-15000
|
7
|
0
|
|
Tobacco
|
Yes
|
3
|
0
|
0.2373
|
P=0.07 NS
|
|
Nil
|
27
|
30
|
|
Chronic
illness
|
Yes
|
8
|
5
|
0.884
|
P=0.347 NS
|
|
Nil
|
22
|
25
|
Average
remuneration of DW belonging to organization (Rs. 3083.33) was significantly
less than that of DW not belonging to organization (Rs. 9600). These are mostly
decided on the area of the house and number of family members residing
together. Remuneration also differs according to the locality of work place.
Payments are usually higher in the high profile locality. For increase of
payment also there is no any rule, it is decided by the employer and DW. The
member women of the organization are more confident and smarter. Members of the
organizations get more benefit of knowledge regarding government schemes rather
than financial benefits. In case of some trouble or difficulties faced at work
place, member gets wholehearted support from other members and organization.
They also have option of changing the job in case of any difficulties faced.
There is no job security whether it is organized or unorganized. The
Women domestic workers from Pune are aware regarding their right of two days
paid leaves in a month as well as annual ex-gratia payment of a month’s salary.
However, leave depends on the relationship of the employer and the woman
domestic worker. There is no rule for leave. It applies to woman whether she is
member of any organization or not.
The Women
household workers from Pune face more stress at home rather than the work
place. Spouse’s bad habits and vices, children’s education and health, and
unhealthy atmosphere at home are the most stressful things for these women.
These women are well aware regarding importance of children’s education &
health.They are prepared to put more dedicated and honest efforts at their own
home as well as at work place. Almost every woman knows the importance of
savings and they all hold saving bank account in nearby Bank. Most of these
women hold valid identity documents, like Adhar Card, Voter’s Card, Ration
Card. Few of them also hold PAN card. Only a minority of the DWs were residents
of Pune. Most of them have migrated from Beed, Solapur, Parabhani and Mulshi in
search of job, as they have lost their lands in construction of dams. Nobody
complained about physical or sexual abuse.
Table
2: Depression
Anxiety Stress Scale scores of domestic workers from organized and unorganized
sector.
|
DASS 21
|
Unorganized
|
Organized
|
Mann
Whitney U value
|
P
|
|
Stress
|
Mean
|
14.33
|
10.2
|
286.500
|
0.015 S
|
|
SD
|
7.07
|
7.56
|
|
|
|
Range
|
4 to 14
|
0 to 30
|
|
|
|
Anxiety
|
Mean
|
9.27
|
10.47
|
446.000
|
0.952NS
|
|
SD
|
5.08
|
8.19
|
|
|
|
Range
|
0 to 22
|
0 to 34
|
|
|
|
Depression
|
Mean
|
10.67
|
9.53
|
368.000
|
0.222 NS
|
|
SD
|
6.79
|
8.63
|
|
|
|
Range
|
2 to 32
|
0 to 32
|
|
|
Table 3: Severity of Depression Anxiety Stress Scale
scores of domestic workers from organized and unorganized sector.
|
DASS 21
|
Unorganized
|
Organized
|
Fishers Exact test P
value
|
|
Depression
|
Normal
|
14
|
18
|
0.236 NS
|
|
Mild
|
6
|
6
|
|
Moderate
|
9
|
3
|
|
Ex. Severe
|
1
|
3
|
|
Anxiety
|
Normal
|
11
|
11
|
0.992 NS
|
|
Mild
|
3
|
3
|
|
Moderate
|
13
|
13
|
|
Severe
|
2
|
2
|
|
Ex. Severe
|
1
|
1
|
|
Stress
|
Normal
|
11
|
20
|
0.091 NS
|
|
Mild
|
14
|
7
|
|
Moderate
|
2
|
2
|
|
Severe
|
3
|
1
|
On the
DASS-21 the female domestic workers who did not belong to organization had
significantly higher levels of stress. The two groups had no differences in
anxiety and depression (Figure 1 and Table 2). There were no significant
differences between the two groups regarding distribution of depression,
anxiety and stress (Figure 2 and Tables 3 and 4).
Correlations
of age, size of family, income, anxiety, depression and stress revealed:
·
Age is negatively correlated with
income, as age increases income decreases.
·
Anxiety is negatively correlated
with size of family, where size of family is big anxiety is less and where size
of family is small anxiety is more.
·
Stress is positively correlated
with anxiety and depression. When Stress increases accordingly anxiety and
depression increases.
A multiple
linear correlation by enter method was performed to find out the predictors of
stress. The multiple linear regression model summary and overall fit statistics
reveals that the adjusted R² of the model is .556 with the R² = 0.594 (Table
5).
Table
4: Correlations
of age, family members, monthly income, stress, anxiety and depression in
domestic workers.
|
|
Age
|
family
|
income
|
stress
|
anxiety
|
Depression
|
|
Spearman's rho
|
Age
|
Correlation Coefficient
|
1.000
|
-.044
|
-.366**
|
-.110
|
.139
|
.014
|
|
|
Sig.
(2-tailed)
|
.
|
.737
|
.004
|
.402
|
.291
|
.915
|
|
family
|
Correlation
Coefficient
|
-.044
|
1.000
|
-.017
|
-.146
|
-.369**
|
-.141
|
|
|
Sig.
(2-tailed)
|
.737
|
.
|
.900
|
.265
|
.004
|
.281
|
|
income
|
Correlation Coefficient
|
-
.366*
*
|
-.017
|
1.000
|
.207
|
-.132
|
.165
|
|
|
Sig. (2-tailed)
|
.004
|
.900
|
.
|
.113
|
.314
|
.208
|
|
stress
|
Correlation Coefficient
|
-.110
|
-.146
|
.207
|
1.000
|
.572**
|
.656**
|
|
|
Sig. (2-tailed)
|
.402
|
.265
|
.113
|
.
|
.000
|
.000
|
|
anxiety
|
Correlation
Coefficient
|
.139
|
-.369**
|
-.132
|
.572**
|
1.000
|
.487**
|
|
|
Sig.
(2-tailed)
|
.291
|
.004
|
.314
|
.000
|
.
|
.000
|
|
depressi
on
|
Correlation
Coefficient
|
.014
|
-.141
|
.165
|
.656**
|
.487**
|
1.000
|
|
|
Sig.
(2-tailed)
|
.915
|
.281
|
.208
|
.000
|
.000
|
.
|
|
**.
Correlation is significant at the 0.01 level (2-tailed).
|
Table
5: Multiple
regression analysis: Model Summaryb.
|
Model
|
R
|
R
Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
Durbin- Watson
|
|
1
|
.771a
|
.594
|
.556
|
5.02857
|
1.558
|
|
a)
Predictors: (Constant), Depression, monthly
income, Family members, Age, Anxiety
b)
Dependent Variable: Stress
|
Table
6: Multiple
regression analysis: ANOVAa..
|
Model
|
Sum of Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
1
|
Regression
|
1998.261
|
5
|
399.652
|
15.805
|
.000b
|
|
|
Residual
|
1365.472
|
54
|
25.287
|
|
|
Total
|
3363.733
|
59
|
|
|
a)
Dependent Variable: Stress
b)
Predictors: (Constant),
Depression, Income, Family, Age, Anxiety
|
This means
that the linear regression explains 59.4% of the variance in the data. The
Durbin-Watson d = 1.588, is between the two critical values of 1.5 < d <
2.5. Therefore, one can assume that there is no first order linear
auto-correlation in our multiple linear regression data. The linear
regression’s F-test has the null hypothesis that the model explains zero
variance in the dependent variable (in other words R² = 0). The F-test is
highly significant; thus we can assume that the model explains a significant
amount of the variance in stress in domestic workers (Table 6). Table 7 shows
the multiple linear regression estimates including the intercept and the
significance levels. The statistical significance of each of the independent
variables can be seen from t and Sig columns. In the present study find that
only anxiety and depression are significant. We can also see that depression
has a higher impact than anxiety by comparing the standardized coefficients
(beta = .527 versus beta = .343).The information in table 7 also allows us to
check for multicollinearity in our multiple linear regression model. Tolerance
should be > 0.1 (or VIF < 10) for all variables which is true in this
case.
Table
7: Multiple
regression analysis: Coefficientsa.
|
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
Collinearity Statistics
|
|
B
|
Std.
Error
|
Beta
|
Toleranc
e
|
VIF
|
|
1
|
(Constant)
|
3.638
|
3.474
|
|
1.047
|
.300
|
|
|
|
|
Age
|
-.069
|
.056
|
-.116
|
-1.226
|
.226
|
.843
|
1.186
|
|
|
Family
|
.267
|
.365
|
.071
|
.731
|
.468
|
.806
|
1.240
|
|
|
Income
|
.000
|
.000
|
.122
|
1.298
|
.200
|
.856
|
1.168
|
|
|
Anxiety
|
.382
|
.149
|
.343
|
2.570
|
.013
|
.422
|
2.372
|
|
|
Depression
|
.515
|
.117
|
.527
|
4.409
|
.000
|
.527
|
1.898
|
|
a.
Dependent Variable: Stress
|
To
summarize, a multiple regression by enter method was run to predict stress in
domestic workers from age, income, number of family members, anxiety and
depression. These variables statistically significantly predicted stress, F(5,
54) = 15.805, p < .000, R2 = 0.594. Only depression and anxiety added
statistically significantly to the prediction, p < .05.

Figure 1: Mean stress, anxiety and
depression in organized and unorganized domestic workers.