Subjects Demographic Characteristics
The total of 784 subjects were responded in this survey. After filtering and cleaning the data, 771 valid questionnaires were obtained and 13 samples were excluded because of inappropriate responses. The participants originated from 32 of 34 provinces that lived in 6 main islands of Indonesia, the majority were Java (69.6%) and non-Java (30.4%). The majority respondents derived from the area in Java particularly they were based on Jakarta 153 (19.8%), West Java, 152 (19.7%), East Java 91 (11.8%) and Yogyakarta 80 (10.4%), while the majority of participant in non-Java island was Sumatera (14.1%). The mean age was >35 years (Standard Deviation: 1.94). In addition, the participants were relatively almost balance between male and female, which was cited at 50.1% and 49.9% respectively. The most participant were employment (69.9%) and worked in private companies (24.4%). 55.5% of participants stayed at the centre of Indonesia, which is JABODETABEK (Jakarta, Bogor, Depok, Tangerang, Bekasi). Table 1. below depicts the characteristic of study respondents in detail:
Table 1. The Demographic information of respondents (n=771)
Characteristics
|
n (%)
|
Age [Mean (SD), years]
>35
<=35
|
35-40 ± 1.94
297 (38.5)
474 (61.5)
|
Gender
Male
Female
|
386 (50.1)
385 (49.9)
|
Educational Background
Lower Education
Higher Education
|
88 (11.4)
683 (88.6)
|
Occupation
Unemployment
Employment
|
232 (30.1)
539 (69.9)
|
Major Islands
Java
Non-Java
|
537 (69.6)
234 (30.4)
|
Domicile in (JABODETABEK)
Yes
No
|
428 (55.5)
343 (44.5)
|
Participant’s Activities
As far as typical activities during COVID-19 situation was concerned, 94% of participants did not take a trip to their home town. Mostly, 59.1% of participants have been working, where the kind of job activities was working from home (67%). In term of feeling bored, respondents said they felt that situation as of 47%. There were 28% of responses, however, tend to feel in between bored or not (Table 2). Moreover, respondents stated that working (30%), cooking (24%), studying (19%) and online lecturer (13%) were the main indoor activities (Figure 1).
Table 2. Respondents typical activities during COVID-19 pandemic
Items
|
n (%)
|
Take a trip to home town (Mass Exodus)
Yes
No
|
49 (6)
722 (94)
|
Types of work during COVID-19
Work from Office
Work from Home
|
252 (32.7)
519 (67.3)
|
Feeling bored stay at home during pandemic
Yes
No
Maybe
|
365 (47)
195 (25)
213 (28)
|
Figure 2. illustrates the outdoor activities were still being conducted in pandemic of coronavirus. The majority of activities were buying the needs in the market/mall (41%), 21% did sport activities, and 23% others, involving gardening, going to a bank and visiting doctor.
Regarding the means of transportation used, 346 (46.9%) of participants drive their private car. While others were private motorcycle 358 (48.5%), online taxi (go car) 46 (6.2%), train 17 (2.3%) and bus 16 (2.5%).
Personal Hygiene Factors
It has been observed that a positive behaviour has been implemented as a good personal hygiene practices at individual level (Table 3). There were 96.8% of participants wearing a mask when travelling outside or to another place. However, participants stated that sometimes they do not wear a mask (3.2%). The majority of mask were cloth based, it was cited at 73% (Figure 3). Furthermore, with the objectives of protecting their families from the corona virus, almost 67.3% of respondents employed disinfectant at their house with 1-2 times of spraying in a month (Figure 4) and the antiseptic/sanitizer was brought during their activities (61%). Also, 40% of respondents declared to consume supplement during the pandemic (Figure 5)
Table 3. Personal hygiene practices
The use of Mask
|
n (%)
|
Yes
No
|
746 (96.8)
25 (3.2)
|
The use of Disinfectant at Home
|
n (%)
|
Yes
No
|
519 (67.3)
252 (32.7)
|
The use of Antiseptic/hand sanitizer
|
n (%)
|
Yes
No
|
470 (61)
301 (39)
|
Figure 6. depicts the frequency and duration in holding an object surface. The majority of participants hold a door handle and desk more than 6 times a day with 37.2% and 28.1% respectively. Additionally, the duration of handling that objects were 3 seconds (71.6%) for former object and >7 second for latter object (37.9%). Regarding the use of handphone, 42% of respondents reported using their handphone more than 6 hour in a day (Figure 7).
The frequent hand washing behaviour was shown on Figure 8. The results showed that 8.2% of participants did hand washing at least once in a day and maximum of >6x times (35.5%of respondents) after going to toilet. Also, 38.5% of participants practised hand washing for 3 times/day prior eating and approximately about 23% did it every return to home for 1-2 times a day. While it was also reported that 27% of participants did this personal hygiene implementation for >6 times in every touching and object. Figure 9. depicts the percentage of touching face among participated study. At least the respondents touched their part of face once in an hour, it was cited at 39% (hair), 53.2% (forehead), 57.2% (neck), 54.6% (ears), 47% (eyes), 51.4% (mouth), 53.7% (chin), and 47.3% and 43.8% for cheek and nose respectively.
Regarding the source information related to COVID-19 update, the government website of COVID19.GO.ID was the most media (64%) used by respondents, while the other platforms such as WhatsApp, Instagram, Facebook and Twitter was cited at 56%, 38% , 25% and 15% each. An active figure or influencer that encourage participants to apply COVID-19 prevention was also observed, at least more than one responses was obtained. 43.4% of their parents was being the main role, 41.9% was the government, and 32.3% was the relative.
The Perception of COVID-19
In this survey 388 (50%) respondents thought that they understood the hazard and risk of COVID-19 derived from various resources, and 404 (52%) thought that they could classified the risky groups that need to be monitored regarding coronavirus disease (Table 4). Additionally, The participants applied the ethics of coughs and sneeze in avoiding the spread of droplet by covering with the hand or elbows, with strongly agree 362 (47%). Similarly, it can be seen that the participants was strongly agree in implementing social/physical distancing with 366 responses (48%). An average in the context of carrying a hand sanitizer, 354 (46%) respondents reported that they brought this item. Participants said that they changed immediately the clothes and soaked them with detergents when returned home with strongly agree of 339 (44%) and agree of 260 (33%). In contrast, 219 (28%) respondents disagree that they take a shower using warm water after returning home and only 238 (31%) respondents did not use special treatment on footwear 238 (31%). Furthermore, 247 (32%) respondent did a special treatment in packages or items using disinfectant acquired from online shopping or postman.
Table 4. The risk perception of COVID-19
|
|
Strongly Disagree
|
Disagree
|
Neutral
|
Agree
|
Strongly Agree
|
|
|
|
|
n (%)
|
|
|
1.
|
I understand that hazards and risks of COVID-19 from various resources
|
8 (1)
|
17 (2)
|
62 (8)
|
388 (50)
|
296 (39)
|
2.
|
I understand the risk groups that need to be monitored regarding Covid-19 disease
|
8 (1)
|
14 (2)
|
60 (8)
|
404 (52)
|
285 (37)
|
3.
|
I apply the ethics of coughs and sneezes by covering with hands or elbows
|
50 (6)
|
39 (5)
|
28 (4)
|
292 (38)
|
362 (47)
|
4.
|
I really implement my distance position from other people / physical distancing
|
10 (1)
|
11 (1)
|
44 (6)
|
340 (44)
|
366 (48)
|
5.
|
I always carry a hand sanitizer with me wherever I go
|
34 (4)
|
63 (8)
|
82 (11)
|
238 (31)
|
354 (46)
|
6.
|
I changed immediately my clothes when I returned home
|
17 (2)
|
47 (6)
|
60 (8)
|
308 (40)
|
339 (44)
|
7.
|
I soak my clothes directly with detergent when coming back home from outside
|
58 (7)
|
97 (12)
|
151 (20)
|
260 (33)
|
205 (27)
|
8.
|
I always take a shower using warm water when returning home from outside
|
110 (14)
|
219 (28)
|
150 (20)
|
179 (23)
|
113 (15)
|
9.
|
I use special treatment on footwear at home
|
103 (13)
|
238 (31)
|
196 (25)
|
153 (20)
|
81 (1)
|
10.
|
I always spray packages / items using disinfectant received from the postman
|
41(5)
|
105 (14)
|
145 (19)
|
247 (32)
|
233 (30)
|
Table 5. Bivariate Analysis of sociodemographic characteristics associated with mass exodus and type of work
No
|
Variable
|
Take a trip to home town
|
Type of Work
|
OR (95% CI)
|
P Value
|
OR (95% CI)
|
P Value
|
1.
|
Age
>35 years
<= 35 years
|
0.095 (0.029-0.328)
|
0.000
|
0.974 (0.714-1.327)
|
0.865
|
2.
|
Gender
Male
Female
|
0.875 (0.490-1.562)
|
0.651
|
1.994 (1.430-2.642)
|
0.000
|
3.
|
Educational Background
Lower education
Higher education
|
1.089 (0.450-2.638)
|
0.851
|
0.675 (0.395-1.091)
|
0.096
|
4.
|
Occupational Status
Unemployment
Employment
|
1.513 (0.834-2.748)
|
0.180
|
0.443 (0.309-0.635)
|
0.000
|
5.
|
Major Islands
Java
Non-Java
|
0.467 (0.260-0.837)
|
0.012
|
1.042 (0.577-1.473)
|
0.804
|
6.
|
Domicile in JABODETABEK
Yes
No
|
0.365 (0.197-0.675)
|
0.001
|
0.669 (0.494-0.905)
|
0.009
|
The association of sociodemographic characteristics and participants who take a trip to home town and type of work are shown in Table 5. There was significant correlation between gender and type of work. The OR of male was 1.99 times more likely (95% CI = 1.430-2.642, , p< 0.05) to work from office as opposed to female. Table 6. illustrates the bivariate analysis between sociodemographic characteristics and personal hygiene. People aged over 35 years were 1.46 times less likely to practice hand washing compared to respondents who are under or equal to age of 35 years (95% CI- 1.097-1967, p< 0.05). In addition, the male respondents were 2.06 times less likely to practice washing their hands after going to the toilets compared to women (95% CI = 1.543-2.760, , p< 0.05). Similar pattern was identified on doing hand-washing before eating and after touching an objects, male were 1.89 times and 1.749 times less likely to wash their hand as opposed to women (95% CI = 1.420-2.523, , p< 0.05) and (95% CI = 1.315-2.326, , p< 0.005) respectively. Our study also found that people with low education are 1.57 times less likely (95% CI = 1.008-2.458, p< 0.05) to use antiseptics than people with higher education. Moreover, respondents with low education are 1.61 times more rarely to practice hand washing after going to the toilet compared to highly educated people (95% CI = 1.420-2.523, p< 0.05).
Table 7. depicts the bivariate analysis of sociodemographic among study participants and touching object surfaces and face. Male participant were more likely to touch door handles and desks than women with estimated OR of 2.01 (95% CI = 1.509-2.678, p< 0.05) and OR of 1.49 (95% CI = 1.119-2.009, p< 0.05) each. Regarding face-touched behavior, Male had the opportunity to touch ears 1.68 times (95% CI = 1.247-2.283, p< 0.05) and touch 1.38 times (95% CI – 1.022-1.862, p< 0.05) more often as opposed women. Further, study participants with low education tend to touch the part of face more often than those educational background with higher education, involving touching nose (OR = 2.14, 95% CI = 1.366-3.355, p< 0.05), cheek (OR = 1.65, 95% CI = 1.058-2.584, p< 0.05), chin (OR = 1.69, 95% CI = 1.084-2.661, p< 0.05), mouth (OR = 1.61, 95% CI = 1.026-2.527, p< 0.05), eyes (OR = 1.70, 95% CI = 1.092-2.669, p< 0.05), ears (OR = 1.86, 95% CI = 1.188-2.914, p< 0.05), forehead (OR = 2.16, 95% CI = 1.381-3.384, p< 0.05), hair (OR = 1.81, 95% CI = 1.152-2.848, p< 0.05), all (OR = 2.19, 95% CI = 1.377-3.494, p< 0.05).
Table 6. Bivariate Analysis of sociodemographic characteristic associated with positive behaviour of personal hygiene
|
A
|
B
|
C
|
D
|
E
|
|
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
|
Age
|
|
|
|
|
|
|
|
|
|
|
|
>35 Years
|
0.389 (0.144-1.407)
|
0.043
|
0.567
(0.411-0.782)
|
0.000
|
0.542
(0.399-0.736)
|
0.000
|
1.340
(0.097-1.802)
|
0.052
|
1.271
(0.949-1.704)
|
0.107
|
|
<=35 Years
|
|
|
|
|
|
|
|
|
|
|
|
Gender
|
|
|
|
|
|
|
|
|
|
|
|
Male
|
1.516 (0.673-3.418)
|
0.311
|
0.906
(0.671-1.225)
|
0.523
|
0.903
(0.676-1.206)
|
0.488
|
2.064
(1.543-2.760)
|
0.000
|
1.893
(1.420-2.523)
|
0.000
|
|
Female
|
|
|
|
|
|
|
|
|
|
|
|
Education
|
|
|
|
|
|
|
|
|
|
|
|
Lower education
|
1.060 (0.311-3.618)
|
0.926
|
1.074
(0.672-1.717)
|
0.766
|
1.574
(1.008-2.458)
|
0.047
|
1.331
(0.840-2.108)
|
0.219
|
1.611
(1.015-2.559)
|
0.040
|
|
Higher education
|
|
|
|
|
|
|
|
|
|
|
|
Occupational Status
|
|
|
|
|
|
|
|
|
|
|
|
Unemployment
|
1.097 (0.466-2.578)
|
0.833
|
1.220
(0.882-1.687)
|
0.232
|
1.055
(0.777-1.458)
|
0.696
|
1.118
(0.818-1.528)
|
0.484
|
1.231
(0.958-1.680)
|
0.189
|
|
Employment
|
|
|
|
|
|
|
|
|
|
|
|
Main Islands
|
|
|
|
|
|
|
|
|
|
|
|
Java
|
0.768 (0.334-1.763)
|
0.538
|
0.933
(0.673-1.292)
|
0.675
|
0.822
(0.601-1.124)
|
0.221
|
1.099
(0.806-1.498)
|
0.552
|
1.071
(0.787-1.457)
|
0.663
|
|
Non-Java
|
|
|
|
|
|
|
|
|
|
|
|
Domicile in Jabodetabek
|
|
|
|
|
|
|
|
|
|
|
|
Yes
|
0.365 (0.156-0.857)
|
0.016
|
0.702
(0.519-0.949)
|
0.022
|
0.766
(0.573-1.025)
|
0.073
|
0.700
(0.524-0.935)
|
0.016
|
0.849
(0.638-1.130)
|
0.262
|
|
No
|
|
|
|
|
|
|
|
|
|
|
|
A. The use of masker. * P<0.05 significant correlation
B. The use of Disinfectant
C. The use of Hand Sanitizer/antiseptic
D. Handwashing after going toilet
E. Handwashing before eating
|
|
Table 6. Bivariate Analysis of sociodemographic characteristic associated with positive behaviour of personal hygiene (continued)
|
F
|
G
|
H
|
I
|
|
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
|
Age
|
|
|
|
|
|
|
|
|
|
>35 Years
|
1.178
(0.869-1.595)
|
0.290
|
1.127
(0.843-1.507)
|
0.419
|
1.480
(1.090-2.011)
|
0.011
|
1.469
(1.097-1.967)
|
0.010
|
|
<=35 Years
|
|
|
|
|
|
|
|
|
|
Gender
|
|
|
|
|
|
|
|
|
|
Male
|
1.098
(0.819-1.473)
|
0.531
|
1.749
(1.315-2.326)
|
0.000
|
1.436
(1.070-1.927)
|
0.016
|
1.864
(1.400-2.481)
|
0.000
|
|
Female
|
|
|
|
|
|
|
|
|
|
Education
|
|
|
|
|
|
|
|
|
|
Lower education
|
0.998
(0.629-1.583)
|
0.992
|
1.155
(0.740-1.804)
|
0.525
|
0.917
(0.581-1.447)
|
0.711
|
1.282
(0.819-2.005)
|
0.276
|
|
Higher education
|
|
|
|
|
|
|
|
|
|
Occupational Status
|
|
|
|
|
|
|
|
|
|
Unemployment
|
0.930
(0.676-1.279)
|
0.654
|
1.155
(0.849-1.573)
|
0.618
|
0.986
(0.717-1.356)
|
0.930
|
1.100
(0.808-1.496)
|
0.546
|
|
Employment
|
|
|
|
|
|
|
|
|
|
Main Islands
|
|
|
|
|
|
|
|
|
|
Java
|
1.112
(0.809-1.528)
|
0.513
|
1.081
(0.795-1.470)
|
0.618
|
1.105
(0.805-1.517)
|
0.537
|
1.164
(0.856-1.583)
|
0.332
|
|
Non-Java
|
|
|
|
|
|
|
|
|
|
Domicile in Jabodetabek
|
|
|
|
|
|
|
|
|
|
Yes
|
0.716
(0.532-0.965)
|
0.028
|
0.813
(0.612-1.081)
|
0.154
|
0.756
(0.562-1.016)
|
0.063
|
0.779
(0.586-1.306)
|
0.086
|
|
No
|
|
|
|
|
|
|
|
|
|
F. Handwashing after returning home . * P<0.05 significant correlation
G. Handwashing every touching face
H. Handwashing others
I. Overall handwashing
|
|
Table 7. Bivariate Analysis of sociodemographic characteristic associated with touching objects and face touched
|
A
|
B
|
C
|
D
|
E
|
|
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
|
Age
|
|
|
|
|
|
|
|
|
|
|
|
>35 Years
|
0.973 (0.728-1.301)
|
0.854
|
0.852
(0.631-1.150)
|
0.294
|
0.483
(0.359-0.648)
|
0.000
|
0.844
(0.627-1.136)
|
0262
|
1.005
(0.744-1.357)
|
0.974
|
|
<=35 Years
|
|
|
|
|
|
|
|
|
|
|
|
Gender
|
|
|
|
|
|
|
|
|
|
|
|
Male
|
2.010 (0.673-3.418)
|
0.000
|
1.499
(1.119-2.009)
|
0.007
|
0.751
(0.676-1.206)
|
0.047
|
1.158
(0.868-1.545)
|
0.318
|
1.231
(0.918-1.650)
|
0.164
|
|
Female
|
|
|
|
|
|
|
|
|
|
|
|
Education
|
|
|
|
|
|
|
|
|
|
|
|
Lower education
|
0.903 (0.579-1.407)
|
0.651
|
0.653
(0.403-1.059)
|
0.078
|
1.574
(0.999-2.480)
|
0.048
|
2.141
(1.366-3.355)
|
0.001
|
1.653
(1.058-2.584)
|
0.028
|
|
Higher education
|
|
|
|
|
|
|
|
|
|
|
|
Occupational Status
|
|
|
|
|
|
|
|
|
|
|
|
Unemployment
|
1.070 (0.786-1.456)
|
0.667
|
0.920
(0.669-1.265)
|
0.608
|
1.065
(0.782-1.449)
|
0.690
|
1.187
(0.869-1.622)
|
0.283
|
1.033
(0.752-1.421)
|
0.840
|
|
Employment
|
|
|
|
|
|
|
|
|
|
|
|
Main Islands
|
|
|
|
|
|
|
|
|
|
|
|
Java
|
1.227 (0.902-1.668)
|
0.193
|
0.877
(0.673-1.292)
|
0.414
|
0.895
(0.658-1.270)
|
0.048
|
0.818
(0.599-1.117)
|
0.207
|
0.686
(0.501-0.940)
|
0.019
|
|
Non-Java
|
|
|
|
|
|
|
|
|
|
|
|
Domicile in Jabodetabek
|
|
|
|
|
|
|
|
|
|
|
|
Yes
|
1.242 (0.943-1.651)
|
0.136
|
1.127
(0.519-0.949)
|
0.424
|
0.935
(0.700-1.249)
|
0.648
|
0.935
(0.700-1.249)
|
0.648
|
0.777
(0.579-1.043)
|
0.093
|
|
No
|
|
|
|
|
|
|
|
|
|
|
|
A. Holding a handle door * P<0.05 significant correlation
B. Holding a desk
C. The use of handphone
D. Touching nose
E. Touching cheek
|
|
Table 7. Bivariate Analysis of sociodemographic characteristic associated with touching objects and face touched (continued)
|
F
|
G
|
H
|
I
|
|
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
|
Age
|
|
|
|
|
|
|
|
|
|
>35 Years
|
1.011 (0.756-1.352)
|
0.943
|
1.105
(0.631-1.150)
|
0.501
|
0.891
(0.658-1.206)
|
0.454
|
0.951
(0.704-1.302)
|
0.781
|
|
<=35 Years
|
|
|
|
|
|
|
|
|
|
Gender
|
|
|
|
|
|
|
|
|
|
Male
|
1.292 (0.973-1.716)
|
0.076
|
1.238
(0.933-2.642)
|
0.139
|
1.165
(0.869-1.563)
|
0.307
|
1.688
(1.247-2.283)
|
0.001
|
|
Female
|
|
|
|
|
|
|
|
|
|
Education
|
|
|
|
|
|
|
|
|
|
Lower education
|
1.698 (1.084-2.661)
|
0.020
|
1.610
(1.026-2.527)
|
0.037
|
1.707
(1.092-2.669)
|
0.020
|
1.861
(1.188-2.914)
|
0.007
|
|
Higher education
|
|
|
|
|
|
|
|
|
|
Occupational Status
|
|
|
|
|
|
|
|
|
|
Unemployment
|
1.093 (0.803-1.487)
|
0.574
|
0.909
(0.668-1.238)
|
0.546
|
0.941
(0.683-1.298)
|
0.713
|
1.030
(0.744-1.426)
|
0.860
|
|
Employment
|
|
|
|
|
|
|
|
|
|
Main Islands
|
|
|
|
|
|
|
|
|
|
Java
|
0.769 (0.565-1.046)
|
0.095
|
0.760
(0.558-1.033)
|
0.080
|
0.789
(0.575-1.083)
|
0.143
|
0.715
(0.520-0.985)
|
0.041
|
|
Non-Java
|
|
|
|
|
|
|
|
|
|
Domicile in Jabodetabek
|
|
|
|
|
|
|
|
|
|
Yes
|
0.859 (0.646-1.143)
|
0.297
|
0.878
(0.661-1.167)
|
0.371
|
0.990
(0.737-1.330)
|
0.948
|
0.894
(0.662-1.207)
|
0.464
|
|
No
|
|
|
|
|
|
|
|
|
|
F. Touching chin * P<0.05 significant correlation
G. Touching mouth
H. Touching eyes
I. Touching ears
|
|
|
Table 7. Bivariate Analysis of sociodemographic characteristic associated with objects and face touched (continued)
|
J
|
K
|
L
|
M
|
|
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
OR
(95% CI)
|
P Value
|
|
Age
|
|
|
|
|
|
|
|
|
|
>35 Years
|
0.904 (0.657-1.244)
|
0.534
|
0.996
(0.733-1.354)
|
0.981
|
0.816
(0.610-1.092)
|
0.172
|
0.944
(0.706-1.262)
|
0.699
|
|
<=35 Years
|
|
|
|
|
|
|
|
|
|
Gender
|
|
|
|
|
|
|
|
|
|
Male
|
1.311 (0.961-1.789)
|
0.087
|
1.380
(1.022-1.862)
|
0.035
|
1.278
(0.963-1.696)
|
0.090
|
1.199
(0.904-1.591)
|
0.207
|
|
Female
|
|
|
|
|
|
|
|
|
|
Student
|
|
|
|
|
|
|
|
|
|
Lower education
|
1.420 (0.892-2.260)
|
0.145
|
2.162
(1.381-3.384)
|
0.001
|
1.811
(1.152-2.848)
|
0.009
|
2.193
(1.377-3.494)
|
0.001
|
|
Higher education
|
|
|
|
|
|
|
|
|
|
Occupational Status
|
|
|
|
|
|
|
|
|
|
Unemployment
|
0.898 (0.803-1.487)
|
0.534
|
1.050
(0.759-1.452)
|
0.770
|
1.090
(0.801-1.483)
|
0.585
|
1.084
(0.797-1.474)
|
0.609
|
|
Employment
|
|
|
|
|
|
|
|
|
|
Main Islands
|
|
|
|
|
|
|
|
|
|
Java
|
0.712 (0.512-0.990)
|
0.045
|
0.825
(0.598-1.138)
|
0.242
|
0.772
(0.567-1.050)
|
0.099
|
0.777
(0.571-1.057)
|
0.107
|
|
Non-Java
|
|
|
|
|
|
|
|
|
|
Domicile in Jabodetabek
|
|
|
|
|
|
|
|
|
|
Yes
|
0.848 (0.621-1.156)
|
0.297
|
1.065
(0.788-1.439)
|
0.682
|
0.978
(0.736-1.300)
|
0.877
|
0.866
(0.652-1.151)
|
0.322
|
|
No
|
|
|
|
|
|
|
|
|
|
J. Touching neck * P<0.05 significant correlation
K. Touching forehead
L. Touching hair
M. Touching face (all)
|
|
|