Analisis Faktor Risiko Stroke pada Pasien di RSU H. Sahudin Kutacane Kabupaten Aceh Tenggara Tahun 2014
Lampiran 1
KUESIONER PENELITIAN
Assalamualaikum Wr. Wb
Saya, Khairatunnisa mahasiswa Program Studi S-2 Ilmu Kesehatan Masyarakat,
Fakultas Kesehatan Masyarakat Universitas Sumatera Utara Medan, akan melakukan
penelitian tentang “Analisis Faktor Risiko Stroke pada Pasien di RSU H. Sahudin
Kutacane Kabupaten Aceh Tenggara Tahun 2014”. Oleh karena itu, saya memohon
kesediaan Bapak/Ibu untuk menjadi responden dalam penelitian ini. Adapun data
individu dalam penelitian ini tidak dipublikasikan.
A.
IDENTITAS RESPONDEN
1. Nama
:
2. Umur
:
3. Jenis Kelamin :
B.
4. Pekerjaan
:
5. Suku
:
6. Alamat
:
FAKTOR RISIKO STROKE
B.1. Pengukuran dan Penilaian
(Kasus: diambil berdasarkan data rekam medik; Kontrol: diambil
berdasarkan pengukuran langsung)
7. Berat Badan
:
kg
8. Tinggi Badan
:
cm
9. Tekanan Darah
:
mmHg
10. Kadar Gula Darah
:
mg/dl
B.2. Merokok
11. Apakah Anda mempunyai kebiasaan merokok sebelum menderita stroke?
a. Ya
b. Tidak
12. Jika ya, berapa batang rokok yang dihisap per hari?
a. > 12 batang
b.
6 - 12 batang
c. < 6 batang
B.3. Alkohol
13. Apakah Anda mempunyai kebiasaan mengkonsumsi alkohol?
a. Ya
b. Tidak
14. Jika ya, berapa kali dalam seminggu Anda mengkonsumsi alkohol?
a. ≥ 3 kali
b. < 3 kali
B.4. Riwayat Penyakit dalam Keluarga
15. Apakah ada anggota keluarga Anda yang menderita stroke?
a. Ya
b. Tidak
16. Jika ya, hubungan dengan anggota keluarga tersebut:
a. Ibu kandung
b. Ayah kandung
c. Saudara laki-laki
d. Saudara perempuan
e. Lain-lain, sebutkan............
HASIL UJI STATISTIK
Crosstabs
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
Jenis Kelamin * Stroke
90
100,0%
0
,0%
90
100,0%
Umur * Stroke
90
100,0%
0
,0%
90
100,0%
Pekerjaan * Stroke
90
100,0%
0
,0%
90
100,0%
Jenis Kelamin * Stroke Crosstabulation
Stroke
Tidak Stroke
Jenis Kelamin
Laki-laki
Count
% within Stroke
Perempuan
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
23
23
46
51,1%
51,1%
51,1%
22
22
44
48,9%
48,9%
48,9%
45
45
90
100,0%
100,0%
100,0%
Umur * Stroke Crosstabulation
Stroke
Tidak Stroke
Umur
40-44
Count
% within Stroke
45-49
Count
% within Stroke
50-54
Count
% within Stroke
55-59
Count
% within Stroke
60-64
Count
% within Stroke
> 64
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
3
3
6
6,7%
6,7%
6,7%
5
5
10
11,1%
11,1%
11,1%
10
10
20
22,2%
22,2%
22,2%
11
11
22
24,4%
24,4%
24,4%
11
11
22
24,4%
24,4%
24,4%
5
5
10
11,1%
11,1%
11,1%
45
45
90
100,0%
100,0%
100,0%
Pekerjaan * Stroke Crosstabulation
Stroke
Tidak Stroke
Pekerjaan
PNS
Count
% within Stroke
Guru
Count
% within Stroke
Wiraswasta
Count
% within Stroke
Petani
Count
% within Stroke
Ibu Rumah Tangga
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
5
9
14
11,1%
20,0%
15,6%
2
3
5
4,4%
6,7%
5,6%
12
6
18
26,7%
13,3%
20,0%
14
15
29
31,1%
33,3%
32,2%
12
12
24
26,7%
26,7%
26,7%
45
45
90
100,0%
100,0%
100,0%
CROSSTABS
/TABLES=HT DM Merokok Obes Alkohol RwytKel BY Stroke
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ RISK
/CELLS=COUNT COLUMN
/COUNT ROUND CELL.
Crosstabs
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
Hipertensi * Stroke
90
100,0%
0
,0%
90
100,0%
Diabetes Mellitus * Stroke
90
100,0%
0
,0%
90
100,0%
Merokok * Stroke
90
100,0%
0
,0%
90
100,0%
Obesitas * Stroke
90
100,0%
0
,0%
90
100,0%
Alkohol * Stroke
90
100,0%
0
,0%
90
100,0%
Riwayat Keluarga * Stroke
90
100,0%
0
,0%
90
100,0%
Hipertensi * Stroke
Crosstab
Stroke
Tidak Stroke
Hipertensi
Tidak Hipertensi
Count
% within Stroke
Hipertensi
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
30
11
41
66,7%
24,4%
45,6%
15
34
49
33,3%
75,6%
54,4%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig.
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
df
a
1
,000
Continuity Correction
14,515
1
,000
Likelihood Ratio
16,715
1
,000
Pearson Chi-Square
16,172
b
Fisher's Exact Test
,000
Linear-by-Linear
15,993
1
,000
,000
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 20,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Hipertensi (Tidak
Lower
Upper
6,182
2,464
15,512
2,390
1,508
3,788
,387
,226
,663
Hipertensi / Hipertensi)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Diabetes Mellitus * Stroke
Crosstab
Stroke
Tidak Stroke
Diabetes Mellitus
Tidak DM
Count
% within Stroke
DM
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
27
12
39
60,0%
26,7%
43,3%
18
33
51
40,0%
73,3%
56,7%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Pearson Chi-Square
df
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
a
1
,001
8,869
1
,003
10,398
1
,001
10,181
b
Continuity Correction
Likelihood Ratio
Asymp. Sig.
Fisher's Exact Test
Linear-by-Linear
,003
10,068
1
,001
,002
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 19,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Diabetes
Lower
Upper
4,125
1,694
10,046
1,962
1,281
3,005
,476
,285
,794
Mellitus (Tidak DM / DM)
For cohort Stroke = Tidak
Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Merokok * Stroke
Crosstab
Stroke
Tidak Stroke
Merokok
Tidak Merokok
Count
% within Stroke
Merokok
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
25
21
46
55,6%
46,7%
51,1%
20
24
44
44,4%
53,3%
48,9%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
df
Asymp. Sig.
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
a
1
,399
Continuity Correction
,400
1
,527
Likelihood Ratio
,712
1
,399
Pearson Chi-Square
,711
b
Fisher's Exact Test
Linear-by-Linear
,527
,704
1
,264
,402
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 22,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Merokok (Tidak Merokok /
Lower
Upper
1,429
,623
3,276
1,196
,787
1,817
,837
,553
1,267
Merokok)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Obesitas * Stroke
Crosstab
Stroke
Tidak Stroke
Obesitas
Tidak Obesitas
Count
% within Stroke
Obesitas
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
36
27
63
80,0%
60,0%
70,0%
9
18
27
20,0%
40,0%
30,0%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
4,286a
1
,038
Continuity Correction
3,386
1
,066
Likelihood Ratio
4,348
1
,037
Pearson Chi-Square
b
Fisher's Exact Test
Linear-by-Linear
,065
4,238
1
,032
,040
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 13,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Obesitas (Tidak Obesitas /
Lower
Upper
2,667
1,039
6,847
1,714
,965
3,046
,643
,435
,950
Obesitas)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Alkohol * Stroke
Crosstab
Stroke
Tidak Stroke
Alkohol
Tidak Mengkonsumsi Alkohol Count
% within Stroke
Mengkonsumsi Alkohol
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
39
33
72
86,7%
73,3%
80,0%
6
12
18
13,3%
26,7%
20,0%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig.
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
df
a
1
,114
Continuity Correction
1,736
1
,188
Likelihood Ratio
2,539
1
,111
Pearson Chi-Square
2,500
b
Fisher's Exact Test
,187
Linear-by-Linear
2,472
1
,093
,116
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 9,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Alkohol (Tidak
Lower
Upper
2,364
,799
6,989
1,625
,818
3,230
,688
,455
1,038
Mengkonsumsi Alkohol / Mengkonsumsi
Alkohol)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Riwayat Keluarga * Stroke
Crosstab
Stroke
Tidak Stroke
Riwayat Keluarga Tidak Ada Riwayat
Count
Keluarga
% within Stroke
Ada Riwayat Keluarga
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
33
26
59
73,3%
57,8%
65,6%
12
19
31
26,7%
42,2%
34,4%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
a
1
,120
Continuity Correction
1,771
1
,183
Likelihood Ratio
2,427
1
,119
Pearson Chi-Square
2,411
b
Fisher's Exact Test
Linear-by-Linear
,183
2,384
1
,091
,123
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 15,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Riwayat Keluarga (Tidak
Lower
Upper
2,010
,828
4,878
1,445
,879
2,376
,719
,481
1,074
Ada Riwayat Keluarga / Ada Riwayat
Keluarga)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
LOGISTIC REGRESSION VARIABLES Stroke
/METHOD=ENTER HT DM Obes
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Unweighted Cases
a
N
Selected Cases
Included in Analysis
Percent
90
100,0
0
,0
90
100,0
0
,0
90
100,0
Missing Cases
Total
Unselected Cases
Total
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value
Tidak Stroke
0
Stroke
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
Stroke
Observed
Step 0
Stroke
Tidak Stroke
Stroke
Correct
Tidak Stroke
0
45
,0
Stroke
0
45
100,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Percentage
50,0
Variables in the Equation
B
Step 0
Constant
S.E.
,000
Wald
,211
df
,000
Sig.
1
Exp(B)
1,000
1,000
Variables not in the Equation
Score
Step 0
Variables
16,172
1
,000
DM
10,181
1
,001
4,286
1
,038
21,218
3
,000
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
df
Sig.
Step
22,825
3
,000
Block
22,825
3
,000
Model
22,825
3
,000
Model Summary
Step
1
-2 Log likelihood
Sig.
HT
Obes
Step 1
df
Cox & Snell R
Nagelkerke R
Square
Square
a
101,942
,224
,299
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
Stroke
Observed
Step 1
Tidak Stroke
Stroke
Percentage
Stroke
Correct
Tidak Stroke
35
10
77,8
Stroke
11
34
75,6
Overall Percentage
76,7
a. The cut value is ,500
Variables in the Equation
95% C.I.for
EXP(B)
B
a
Step 1
S.E.
Wald
df
Sig.
Exp(B)
Lower
Upper
HT
1,490
,498
8,952
1
,003
4,437
1,672
11,774
DM
,948
,501
3,583
1
,058
2,581
,967
6,890
Obes
,775
,535
2,099
1
,147
2,171
,761
6,196
-1,592
,456
12,183
1
,000
,203
Constant
a. Variable(s) entered on step 1: HT, DM, Obes.
LOGISTIC REGRESSION VARIABLES Stroke
/METHOD=ENTER HT DM
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Unweighted Casesa
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
90
100,0
0
,0
90
100,0
0
,0
90
100,0
Case Processing Summary
Unweighted Casesa
N
Selected Cases
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
90
100,0
0
,0
90
100,0
0
,0
90
100,0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value
Tidak Stroke
0
Stroke
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
Stroke
Observed
Step 0
Stroke
Tidak Stroke
Percentage
Stroke
Correct
Tidak Stroke
0
45
,0
Stroke
0
45
100,0
Overall Percentage
50,0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
,000
,211
Wald
,000
df
Sig.
1
1,000
Exp(B)
1,000
Variables not in the Equation
Score
Step 0
Variables
16,172
1
,000
DM
10,181
1
,001
19,523
2
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
df
Sig.
Step
20,679
2
,000
Block
20,679
2
,000
Model
20,679
2
,000
Model Summary
Step
1
-2 Log likelihood
Sig.
HT
Overall Statistics
Step 1
df
Cox & Snell R
Nagelkerke R
Square
Square
a
104,087
,205
,274
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
Stroke
Observed
Step 1
Stroke
Tidak Stroke
Percentage
Stroke
Correct
Tidak Stroke
30
15
66,7
Stroke
11
34
75,6
Overall Percentage
71,1
a. The cut value is ,500
Variables in the Equation
95% C.I.for
EXP(B)
B
S.E.
Wald
df
Sig.
Exp(B)
Lower
Upper
Step 1a HT
1,541
,491
9,838
1
,002
4,670
1,783
12,233
DM
,984
,494
3,964
1
,046
2,676
1,016
7,049
-1,414
,428
10,889
1
,001
,243
Constant
a. Variable(s) entered on step 1: HT, DM.
MASTER DATA
No. Jenkel Umur Umur Krj TD IMT KGD B.2.11 B.2.12 B.3.13
1
1
60
5
4 130 24
190
1
1
1
2
1
50
3
4 130 22
180
1
1
2
3
1
62
5
4 150 26
240
1
1
2
4
1
46
2
4 140 26
250
1
3
1
5
1
64
5
2 160 29
201
1
2
1
6
1
54
3
3 120 23
91
2
2
7
1
61
5
2 140 26
250
1
2
1
8
1
61
5
4 160 25
230
1
3
2
9
1
53
3
1 150 25
200
1
1
1
10
1
42
1
1 155 23
200
1
1
2
11
1
63
5
4 160 25
260
1
1
1
12
1
51
3
2 140 23
201
1
2
2
13
1
63
5
3 160 25
210
1
1
1
14
1
44
1
3 140 28
250
1
1
2
15
1
64
5
3 140 25
358
1
1
2
16
1
48
2
1 140 24
270
1
2
1
17
1
53
3
1 150 24
200
1
2
2
18
1
53
3
4 140 25
300
1
1
1
19
1
58
4
1 160 29
220
1
1
1
20
1
42
1
3 140 25
200
1
1
2
21
1
52
3
4 150 24
300
1
2
1
22
1
70
6
5 120 28
170
1
3
2
23
1
51
3
1 160 24
200
1
3
1
24
2
55
4
5 180 33
300
2
2
25
2
58
4
5 160 19
300
2
2
26
2
52
3
5 170 25
250
2
2
27
2
56
4
5 150 25
230
2
2
28
2
52
3
5 140 26
250
2
2
29
2
56
4
4 160 24
210
2
2
30
2
62
5
1 130 25
150
2
2
31
2
60
5
4 160 27
248
2
2
32
2
64
5
1 170 25
250
1
3
2
33
2
57
4
1 180 25
250
2
2
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
57
65
46
58
68
59
67
72
48
56
57
47
61
50
62
53
49
63
54
48
63
53
64
64
55
65
53
48
57
68
47
60
52
52
60
46
4
6
2
4
6
4
6
6
2
4
4
2
5
3
5
3
2
5
3
2
5
3
5
5
4
6
3
2
4
6
2
5
3
3
5
2
4
4
4
5
5
5
5
4
4
5
3
5
1
2
3
3
3
4
4
4
4
3
3
3
4
4
4
3
3
3
3
4
4
1
1
5
120
140
150
110
140
120
130
170
130
130
140
150
180
120
120
110
110
130
120
150
110
130
130
110
120
100
110
130
150
160
170
120
120
110
120
130
23
23
26
27
28
27
24
26
26
23
29
26
24
25
24
22
25
23
22
21
22
16
24
21
23
23
24
23
27
27
23
23
22
21
29
31
130
170
180
340
340
155
112
320
115
175
340
260
155
77
118
110
180
185
155
175
140
130
110
470
220
200
235
145
118
150
200
250
320
334
240
340
1
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
2
1
1
2
1
2
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
3
1
1
1
1
2
3
3
2
3
1
3
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
51
61
52
61
57
63
58
43
54
56
67
42
58
58
59
70
56
69
57
41
59
3
5
3
5
4
5
4
1
3
4
6
1
4
4
4
6
4
6
4
1
4
5
5
5
4
4
4
5
5
5
2
3
3
1
5
5
5
4
4
1
5
5
140
150
140
140
120
130
150
140
90
150
100
100
120
140
150
150
130
120
110
120
120
20
26
25
25
22
26
23
28
27
22
25
21
25
25
24
25
27
24
24
23
20
120
150
120
161
170
138
210
299
160
145
114
126
125
230
100
180
290
300
230
260
350
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
B.3.14 B.4.15 B.4.16 HT DM Rokok Obes Alkohol Rwytkel Stroke
2
2
0
0
1
0
1
0
1
1
1
0
0
1
0
0
1
1
2
1
1
1
1
0
0
1
2
2
1
1
1
1
1
0
1
1
2
1
1
1
1
1
0
1
2
0
0
0
0
0
0
1
1
2
1
1
1
1
1
0
1
1
1
1
1
1
0
0
1
1
1
2
1
1
1
0
1
0
1
1
2
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
2
1
1
1
0
0
0
1
1
2
1
1
1
0
1
0
1
2
1
1
1
1
0
0
1
1
1
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
1
1
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
1
2
1
1
1
1
1
0
1
1
1
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
2
0
0
1
1
0
0
1
2
2
1
1
1
0
1
0
1
2
1
1
0
1
0
0
1
1
2
1
1
0
0
0
1
1
2
1
1
0
0
0
0
1
1
4
1
1
0
0
0
1
1
1
2
1
1
0
1
0
1
1
2
1
1
0
0
0
0
1
2
0
0
0
0
0
0
1
1
2
1
1
0
1
0
1
1
1
1
1
1
1
0
0
1
1
2
1
1
0
0
0
0
1
1
2
0
0
1
0
0
1
1
1
2
1
0
0
0
0
1
1
2
2
2
2
1
2
1
1
1
1
2
2
2
1
2
2
2
1
2
2
2
2
1
1
2
2
2
1
1
2
1
2
2
1
2
2
2
2
2
2
4
2
5
5
3
3
2
2
1
1
2
3
4
1
0
1
0
0
1
0
0
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
1
1
0
1
1
0
0
1
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
0
1
1
0
1
0
1
1
1
1
1
1
1
0
0
0
1
1
1
1
0
1
1
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
1
1
0
0
0
1
0
0
0
1
0
0
0
0
1
1
0
0
0
1
1
0
1
0
0
1
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
2
2
1
2
2
2
1
1
1
2
2
2
2
1
2
2
3
1
2
2
2
1
1
0
0
1
1
0
1
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
1
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
KUESIONER PENELITIAN
Assalamualaikum Wr. Wb
Saya, Khairatunnisa mahasiswa Program Studi S-2 Ilmu Kesehatan Masyarakat,
Fakultas Kesehatan Masyarakat Universitas Sumatera Utara Medan, akan melakukan
penelitian tentang “Analisis Faktor Risiko Stroke pada Pasien di RSU H. Sahudin
Kutacane Kabupaten Aceh Tenggara Tahun 2014”. Oleh karena itu, saya memohon
kesediaan Bapak/Ibu untuk menjadi responden dalam penelitian ini. Adapun data
individu dalam penelitian ini tidak dipublikasikan.
A.
IDENTITAS RESPONDEN
1. Nama
:
2. Umur
:
3. Jenis Kelamin :
B.
4. Pekerjaan
:
5. Suku
:
6. Alamat
:
FAKTOR RISIKO STROKE
B.1. Pengukuran dan Penilaian
(Kasus: diambil berdasarkan data rekam medik; Kontrol: diambil
berdasarkan pengukuran langsung)
7. Berat Badan
:
kg
8. Tinggi Badan
:
cm
9. Tekanan Darah
:
mmHg
10. Kadar Gula Darah
:
mg/dl
B.2. Merokok
11. Apakah Anda mempunyai kebiasaan merokok sebelum menderita stroke?
a. Ya
b. Tidak
12. Jika ya, berapa batang rokok yang dihisap per hari?
a. > 12 batang
b.
6 - 12 batang
c. < 6 batang
B.3. Alkohol
13. Apakah Anda mempunyai kebiasaan mengkonsumsi alkohol?
a. Ya
b. Tidak
14. Jika ya, berapa kali dalam seminggu Anda mengkonsumsi alkohol?
a. ≥ 3 kali
b. < 3 kali
B.4. Riwayat Penyakit dalam Keluarga
15. Apakah ada anggota keluarga Anda yang menderita stroke?
a. Ya
b. Tidak
16. Jika ya, hubungan dengan anggota keluarga tersebut:
a. Ibu kandung
b. Ayah kandung
c. Saudara laki-laki
d. Saudara perempuan
e. Lain-lain, sebutkan............
HASIL UJI STATISTIK
Crosstabs
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
Jenis Kelamin * Stroke
90
100,0%
0
,0%
90
100,0%
Umur * Stroke
90
100,0%
0
,0%
90
100,0%
Pekerjaan * Stroke
90
100,0%
0
,0%
90
100,0%
Jenis Kelamin * Stroke Crosstabulation
Stroke
Tidak Stroke
Jenis Kelamin
Laki-laki
Count
% within Stroke
Perempuan
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
23
23
46
51,1%
51,1%
51,1%
22
22
44
48,9%
48,9%
48,9%
45
45
90
100,0%
100,0%
100,0%
Umur * Stroke Crosstabulation
Stroke
Tidak Stroke
Umur
40-44
Count
% within Stroke
45-49
Count
% within Stroke
50-54
Count
% within Stroke
55-59
Count
% within Stroke
60-64
Count
% within Stroke
> 64
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
3
3
6
6,7%
6,7%
6,7%
5
5
10
11,1%
11,1%
11,1%
10
10
20
22,2%
22,2%
22,2%
11
11
22
24,4%
24,4%
24,4%
11
11
22
24,4%
24,4%
24,4%
5
5
10
11,1%
11,1%
11,1%
45
45
90
100,0%
100,0%
100,0%
Pekerjaan * Stroke Crosstabulation
Stroke
Tidak Stroke
Pekerjaan
PNS
Count
% within Stroke
Guru
Count
% within Stroke
Wiraswasta
Count
% within Stroke
Petani
Count
% within Stroke
Ibu Rumah Tangga
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
5
9
14
11,1%
20,0%
15,6%
2
3
5
4,4%
6,7%
5,6%
12
6
18
26,7%
13,3%
20,0%
14
15
29
31,1%
33,3%
32,2%
12
12
24
26,7%
26,7%
26,7%
45
45
90
100,0%
100,0%
100,0%
CROSSTABS
/TABLES=HT DM Merokok Obes Alkohol RwytKel BY Stroke
/FORMAT=AVALUE TABLES
/STATISTICS=CHISQ RISK
/CELLS=COUNT COLUMN
/COUNT ROUND CELL.
Crosstabs
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Cases
Valid
N
Missing
Percent
N
Total
Percent
N
Percent
Hipertensi * Stroke
90
100,0%
0
,0%
90
100,0%
Diabetes Mellitus * Stroke
90
100,0%
0
,0%
90
100,0%
Merokok * Stroke
90
100,0%
0
,0%
90
100,0%
Obesitas * Stroke
90
100,0%
0
,0%
90
100,0%
Alkohol * Stroke
90
100,0%
0
,0%
90
100,0%
Riwayat Keluarga * Stroke
90
100,0%
0
,0%
90
100,0%
Hipertensi * Stroke
Crosstab
Stroke
Tidak Stroke
Hipertensi
Tidak Hipertensi
Count
% within Stroke
Hipertensi
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
30
11
41
66,7%
24,4%
45,6%
15
34
49
33,3%
75,6%
54,4%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig.
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
df
a
1
,000
Continuity Correction
14,515
1
,000
Likelihood Ratio
16,715
1
,000
Pearson Chi-Square
16,172
b
Fisher's Exact Test
,000
Linear-by-Linear
15,993
1
,000
,000
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 20,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Hipertensi (Tidak
Lower
Upper
6,182
2,464
15,512
2,390
1,508
3,788
,387
,226
,663
Hipertensi / Hipertensi)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Diabetes Mellitus * Stroke
Crosstab
Stroke
Tidak Stroke
Diabetes Mellitus
Tidak DM
Count
% within Stroke
DM
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
27
12
39
60,0%
26,7%
43,3%
18
33
51
40,0%
73,3%
56,7%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Pearson Chi-Square
df
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
a
1
,001
8,869
1
,003
10,398
1
,001
10,181
b
Continuity Correction
Likelihood Ratio
Asymp. Sig.
Fisher's Exact Test
Linear-by-Linear
,003
10,068
1
,001
,002
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 19,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Diabetes
Lower
Upper
4,125
1,694
10,046
1,962
1,281
3,005
,476
,285
,794
Mellitus (Tidak DM / DM)
For cohort Stroke = Tidak
Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Merokok * Stroke
Crosstab
Stroke
Tidak Stroke
Merokok
Tidak Merokok
Count
% within Stroke
Merokok
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
25
21
46
55,6%
46,7%
51,1%
20
24
44
44,4%
53,3%
48,9%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
df
Asymp. Sig.
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
a
1
,399
Continuity Correction
,400
1
,527
Likelihood Ratio
,712
1
,399
Pearson Chi-Square
,711
b
Fisher's Exact Test
Linear-by-Linear
,527
,704
1
,264
,402
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 22,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Merokok (Tidak Merokok /
Lower
Upper
1,429
,623
3,276
1,196
,787
1,817
,837
,553
1,267
Merokok)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Obesitas * Stroke
Crosstab
Stroke
Tidak Stroke
Obesitas
Tidak Obesitas
Count
% within Stroke
Obesitas
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
36
27
63
80,0%
60,0%
70,0%
9
18
27
20,0%
40,0%
30,0%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
4,286a
1
,038
Continuity Correction
3,386
1
,066
Likelihood Ratio
4,348
1
,037
Pearson Chi-Square
b
Fisher's Exact Test
Linear-by-Linear
,065
4,238
1
,032
,040
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 13,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Obesitas (Tidak Obesitas /
Lower
Upper
2,667
1,039
6,847
1,714
,965
3,046
,643
,435
,950
Obesitas)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Alkohol * Stroke
Crosstab
Stroke
Tidak Stroke
Alkohol
Tidak Mengkonsumsi Alkohol Count
% within Stroke
Mengkonsumsi Alkohol
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
39
33
72
86,7%
73,3%
80,0%
6
12
18
13,3%
26,7%
20,0%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig.
Exact Sig. (2-
Exact Sig. (1-
(2-sided)
sided)
sided)
df
a
1
,114
Continuity Correction
1,736
1
,188
Likelihood Ratio
2,539
1
,111
Pearson Chi-Square
2,500
b
Fisher's Exact Test
,187
Linear-by-Linear
2,472
1
,093
,116
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 9,00.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Alkohol (Tidak
Lower
Upper
2,364
,799
6,989
1,625
,818
3,230
,688
,455
1,038
Mengkonsumsi Alkohol / Mengkonsumsi
Alkohol)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
Riwayat Keluarga * Stroke
Crosstab
Stroke
Tidak Stroke
Riwayat Keluarga Tidak Ada Riwayat
Count
Keluarga
% within Stroke
Ada Riwayat Keluarga
Count
% within Stroke
Total
Count
% within Stroke
Stroke
Total
33
26
59
73,3%
57,8%
65,6%
12
19
31
26,7%
42,2%
34,4%
45
45
90
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
a
1
,120
Continuity Correction
1,771
1
,183
Likelihood Ratio
2,427
1
,119
Pearson Chi-Square
2,411
b
Fisher's Exact Test
Linear-by-Linear
,183
2,384
1
,091
,123
Association
N of Valid Cases
90
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 15,50.
b. Computed only for a 2x2 table
Risk Estimate
95% Confidence Interval
Value
Odds Ratio for Riwayat Keluarga (Tidak
Lower
Upper
2,010
,828
4,878
1,445
,879
2,376
,719
,481
1,074
Ada Riwayat Keluarga / Ada Riwayat
Keluarga)
For cohort Stroke = Tidak Stroke
For cohort Stroke = Stroke
N of Valid Cases
90
LOGISTIC REGRESSION VARIABLES Stroke
/METHOD=ENTER HT DM Obes
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Unweighted Cases
a
N
Selected Cases
Included in Analysis
Percent
90
100,0
0
,0
90
100,0
0
,0
90
100,0
Missing Cases
Total
Unselected Cases
Total
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value
Tidak Stroke
0
Stroke
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
Stroke
Observed
Step 0
Stroke
Tidak Stroke
Stroke
Correct
Tidak Stroke
0
45
,0
Stroke
0
45
100,0
Overall Percentage
a. Constant is included in the model.
b. The cut value is ,500
Percentage
50,0
Variables in the Equation
B
Step 0
Constant
S.E.
,000
Wald
,211
df
,000
Sig.
1
Exp(B)
1,000
1,000
Variables not in the Equation
Score
Step 0
Variables
16,172
1
,000
DM
10,181
1
,001
4,286
1
,038
21,218
3
,000
Overall Statistics
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
df
Sig.
Step
22,825
3
,000
Block
22,825
3
,000
Model
22,825
3
,000
Model Summary
Step
1
-2 Log likelihood
Sig.
HT
Obes
Step 1
df
Cox & Snell R
Nagelkerke R
Square
Square
a
101,942
,224
,299
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
Stroke
Observed
Step 1
Tidak Stroke
Stroke
Percentage
Stroke
Correct
Tidak Stroke
35
10
77,8
Stroke
11
34
75,6
Overall Percentage
76,7
a. The cut value is ,500
Variables in the Equation
95% C.I.for
EXP(B)
B
a
Step 1
S.E.
Wald
df
Sig.
Exp(B)
Lower
Upper
HT
1,490
,498
8,952
1
,003
4,437
1,672
11,774
DM
,948
,501
3,583
1
,058
2,581
,967
6,890
Obes
,775
,535
2,099
1
,147
2,171
,761
6,196
-1,592
,456
12,183
1
,000
,203
Constant
a. Variable(s) entered on step 1: HT, DM, Obes.
LOGISTIC REGRESSION VARIABLES Stroke
/METHOD=ENTER HT DM
/PRINT=CI(95)
/CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
Logistic Regression
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Unweighted Casesa
Selected Cases
N
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
90
100,0
0
,0
90
100,0
0
,0
90
100,0
Case Processing Summary
Unweighted Casesa
N
Selected Cases
Included in Analysis
Missing Cases
Total
Unselected Cases
Total
Percent
90
100,0
0
,0
90
100,0
0
,0
90
100,0
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
Original Value
Internal Value
Tidak Stroke
0
Stroke
1
Block 0: Beginning Block
Classification Tablea,b
Predicted
Stroke
Observed
Step 0
Stroke
Tidak Stroke
Percentage
Stroke
Correct
Tidak Stroke
0
45
,0
Stroke
0
45
100,0
Overall Percentage
50,0
a. Constant is included in the model.
b. The cut value is ,500
Variables in the Equation
B
Step 0
Constant
S.E.
,000
,211
Wald
,000
df
Sig.
1
1,000
Exp(B)
1,000
Variables not in the Equation
Score
Step 0
Variables
16,172
1
,000
DM
10,181
1
,001
19,523
2
,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square
df
Sig.
Step
20,679
2
,000
Block
20,679
2
,000
Model
20,679
2
,000
Model Summary
Step
1
-2 Log likelihood
Sig.
HT
Overall Statistics
Step 1
df
Cox & Snell R
Nagelkerke R
Square
Square
a
104,087
,205
,274
a. Estimation terminated at iteration number 4 because parameter
estimates changed by less than ,001.
Classification Tablea
Predicted
Stroke
Observed
Step 1
Stroke
Tidak Stroke
Percentage
Stroke
Correct
Tidak Stroke
30
15
66,7
Stroke
11
34
75,6
Overall Percentage
71,1
a. The cut value is ,500
Variables in the Equation
95% C.I.for
EXP(B)
B
S.E.
Wald
df
Sig.
Exp(B)
Lower
Upper
Step 1a HT
1,541
,491
9,838
1
,002
4,670
1,783
12,233
DM
,984
,494
3,964
1
,046
2,676
1,016
7,049
-1,414
,428
10,889
1
,001
,243
Constant
a. Variable(s) entered on step 1: HT, DM.
MASTER DATA
No. Jenkel Umur Umur Krj TD IMT KGD B.2.11 B.2.12 B.3.13
1
1
60
5
4 130 24
190
1
1
1
2
1
50
3
4 130 22
180
1
1
2
3
1
62
5
4 150 26
240
1
1
2
4
1
46
2
4 140 26
250
1
3
1
5
1
64
5
2 160 29
201
1
2
1
6
1
54
3
3 120 23
91
2
2
7
1
61
5
2 140 26
250
1
2
1
8
1
61
5
4 160 25
230
1
3
2
9
1
53
3
1 150 25
200
1
1
1
10
1
42
1
1 155 23
200
1
1
2
11
1
63
5
4 160 25
260
1
1
1
12
1
51
3
2 140 23
201
1
2
2
13
1
63
5
3 160 25
210
1
1
1
14
1
44
1
3 140 28
250
1
1
2
15
1
64
5
3 140 25
358
1
1
2
16
1
48
2
1 140 24
270
1
2
1
17
1
53
3
1 150 24
200
1
2
2
18
1
53
3
4 140 25
300
1
1
1
19
1
58
4
1 160 29
220
1
1
1
20
1
42
1
3 140 25
200
1
1
2
21
1
52
3
4 150 24
300
1
2
1
22
1
70
6
5 120 28
170
1
3
2
23
1
51
3
1 160 24
200
1
3
1
24
2
55
4
5 180 33
300
2
2
25
2
58
4
5 160 19
300
2
2
26
2
52
3
5 170 25
250
2
2
27
2
56
4
5 150 25
230
2
2
28
2
52
3
5 140 26
250
2
2
29
2
56
4
4 160 24
210
2
2
30
2
62
5
1 130 25
150
2
2
31
2
60
5
4 160 27
248
2
2
32
2
64
5
1 170 25
250
1
3
2
33
2
57
4
1 180 25
250
2
2
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
57
65
46
58
68
59
67
72
48
56
57
47
61
50
62
53
49
63
54
48
63
53
64
64
55
65
53
48
57
68
47
60
52
52
60
46
4
6
2
4
6
4
6
6
2
4
4
2
5
3
5
3
2
5
3
2
5
3
5
5
4
6
3
2
4
6
2
5
3
3
5
2
4
4
4
5
5
5
5
4
4
5
3
5
1
2
3
3
3
4
4
4
4
3
3
3
4
4
4
3
3
3
3
4
4
1
1
5
120
140
150
110
140
120
130
170
130
130
140
150
180
120
120
110
110
130
120
150
110
130
130
110
120
100
110
130
150
160
170
120
120
110
120
130
23
23
26
27
28
27
24
26
26
23
29
26
24
25
24
22
25
23
22
21
22
16
24
21
23
23
24
23
27
27
23
23
22
21
29
31
130
170
180
340
340
155
112
320
115
175
340
260
155
77
118
110
180
185
155
175
140
130
110
470
220
200
235
145
118
150
200
250
320
334
240
340
1
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
2
1
1
2
1
2
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
3
1
1
1
1
2
3
3
2
3
1
3
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
51
61
52
61
57
63
58
43
54
56
67
42
58
58
59
70
56
69
57
41
59
3
5
3
5
4
5
4
1
3
4
6
1
4
4
4
6
4
6
4
1
4
5
5
5
4
4
4
5
5
5
2
3
3
1
5
5
5
4
4
1
5
5
140
150
140
140
120
130
150
140
90
150
100
100
120
140
150
150
130
120
110
120
120
20
26
25
25
22
26
23
28
27
22
25
21
25
25
24
25
27
24
24
23
20
120
150
120
161
170
138
210
299
160
145
114
126
125
230
100
180
290
300
230
260
350
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
B.3.14 B.4.15 B.4.16 HT DM Rokok Obes Alkohol Rwytkel Stroke
2
2
0
0
1
0
1
0
1
1
1
0
0
1
0
0
1
1
2
1
1
1
1
0
0
1
2
2
1
1
1
1
1
0
1
1
2
1
1
1
1
1
0
1
2
0
0
0
0
0
0
1
1
2
1
1
1
1
1
0
1
1
1
1
1
1
0
0
1
1
1
2
1
1
1
0
1
0
1
1
2
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
2
1
1
1
0
0
0
1
1
2
1
1
1
0
1
0
1
2
1
1
1
1
0
0
1
1
1
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
1
1
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
1
2
1
1
1
1
1
0
1
1
1
1
1
1
0
0
1
1
2
2
1
1
1
0
1
0
1
2
0
0
1
1
0
0
1
2
2
1
1
1
0
1
0
1
2
1
1
0
1
0
0
1
1
2
1
1
0
0
0
1
1
2
1
1
0
0
0
0
1
1
4
1
1
0
0
0
1
1
1
2
1
1
0
1
0
1
1
2
1
1
0
0
0
0
1
2
0
0
0
0
0
0
1
1
2
1
1
0
1
0
1
1
1
1
1
1
1
0
0
1
1
2
1
1
0
0
0
0
1
1
2
0
0
1
0
0
1
1
1
2
1
0
0
0
0
1
1
2
2
2
2
1
2
1
1
1
1
2
2
2
1
2
2
2
1
2
2
2
2
1
1
2
2
2
1
1
2
1
2
2
1
2
2
2
2
2
2
4
2
5
5
3
3
2
2
1
1
2
3
4
1
0
1
0
0
1
0
0
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
1
1
0
1
1
0
0
1
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
0
0
0
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
0
1
1
0
1
0
1
1
1
1
1
1
1
0
0
0
1
1
1
1
0
1
1
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
1
1
0
0
0
1
0
0
0
1
0
0
0
0
1
1
0
0
0
1
1
0
1
0
0
1
0
0
0
0
0
0
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
2
2
2
2
2
1
2
2
2
1
1
1
2
2
2
2
1
2
2
3
1
2
2
2
1
1
0
0
1
1
0
1
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
1
0
0
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
1
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0