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 :
4.
Pekerjaan
:
5.
Suku
:
6.
Alamat
:
B.
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
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
HASIL UJI STATISTIK
Crosstabs
[DataSet1] D:\Pascasarjana\Tesisku\Tesis\Tesis OK\data OK - Copy.sav
Case Processing Summary
Cases
Valid Missing Total
N Percent N 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
Total Tidak Stroke Stroke
Jenis Kelamin Laki-laki Count 23 23 46
% within Stroke 51,1% 51,1% 51,1%
Perempuan Count 22 22 44
% within Stroke 48,9% 48,9% 48,9%
Total Count 45 45 90
Umur * Stroke Crosstabulation
Stroke
Total Tidak Stroke Stroke
Umur 40-44 Count 3 3 6
Pekerjaan * Stroke Crosstabulation
Stroke
Total Tidak Stroke Stroke
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
Hipertensi * Stroke
Crosstab
Stroke
Total Tidak Stroke Stroke
Chi-Square Tests
Value df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 16,172a 1 ,000
Continuity Correctionb 14,515 1 ,000
Likelihood Ratio 16,715 1 ,000
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
Value
95% Confidence Interval
Lower Upper
Odds Ratio for Hipertensi (Tidak
Hipertensi / Hipertensi)
6,182 2,464 15,512
For cohort Stroke = Tidak Stroke 2,390 1,508 3,788
For cohort Stroke = Stroke ,387 ,226 ,663
N of Valid Cases 90
Diabetes Mellitus * Stroke
Crosstab
Stroke
Total Tidak Stroke Stroke
Chi-Square Tests
Value df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 10,181a 1 ,001
Continuity Correctionb 8,869 1 ,003
Likelihood Ratio 10,398 1 ,001
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
Value
95% Confidence Interval
Lower Upper
Odds Ratio for Diabetes
Mellitus (Tidak DM / DM)
4,125 1,694 10,046
For cohort Stroke = Tidak
Stroke
1,962 1,281 3,005
For cohort Stroke = Stroke ,476 ,285 ,794
N of Valid Cases 90
Merokok * Stroke
Crosstab
Stroke
Total Tidak Stroke Stroke
Chi-Square Tests
Value df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square ,711a 1 ,399
Continuity Correctionb ,400 1 ,527
Likelihood Ratio ,712 1 ,399
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
Value
95% Confidence Interval
Lower Upper
Odds Ratio for Merokok (Tidak Merokok /
Merokok)
1,429 ,623 3,276
For cohort Stroke = Tidak Stroke 1,196 ,787 1,817
For cohort Stroke = Stroke ,837 ,553 1,267
N of Valid Cases 90
Obesitas * Stroke
Crosstab
Stroke
Total Tidak Stroke Stroke
Chi-Square Tests
Value df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 4,286a 1 ,038
Continuity Correctionb 3,386 1 ,066
Likelihood Ratio 4,348 1 ,037
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
Value
95% Confidence Interval
Lower Upper
Odds Ratio for Obesitas (Tidak Obesitas /
Obesitas)
2,667 1,039 6,847
For cohort Stroke = Tidak Stroke 1,714 ,965 3,046
For cohort Stroke = Stroke ,643 ,435 ,950
N of Valid Cases 90
Alkohol * Stroke
Crosstab
Stroke
Total Tidak Stroke Stroke
Alkohol Tidak Mengkonsumsi Alkohol Count 39 33 72
% within Stroke 86,7% 73,3% 80,0%
Mengkonsumsi Alkohol Count 6 12 18
% within Stroke 13,3% 26,7% 20,0%
Total Count 45 45 90
Chi-Square Tests
Value df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 2,500a 1 ,114
Continuity Correctionb 1,736 1 ,188
Likelihood Ratio 2,539 1 ,111
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
Value
95% Confidence Interval
Lower Upper
Odds Ratio for Alkohol (Tidak
Mengkonsumsi Alkohol / Mengkonsumsi
Alkohol)
2,364 ,799 6,989
For cohort Stroke = Tidak Stroke 1,625 ,818 3,230
For cohort Stroke = Stroke ,688 ,455 1,038
N of Valid Cases 90
Riwayat Keluarga * Stroke
Crosstab
Stroke
Total Tidak Stroke Stroke
Riwayat Keluarga Tidak Ada Riwayat
Chi-Square Tests
Value df
Asymp. Sig.
(2-sided)
Exact Sig.
(2-sided)
Exact Sig.
(1-sided)
Pearson Chi-Square 2,411a 1 ,120
Continuity Correctionb 1,771 1 ,183
Likelihood Ratio 2,427 1 ,119
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
Value
95% Confidence Interval
Lower Upper
Odds Ratio for Riwayat Keluarga (Tidak
Ada Riwayat Keluarga / Ada Riwayat
Keluarga)
2,010 ,828 4,878
For cohort Stroke = Tidak Stroke 1,445 ,879 2,376
For cohort Stroke = Stroke ,719 ,481 1,074
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 Casesa N Percent
Selected Cases Included in Analysis 90 100,0
Missing Cases 0 ,0
Total 90 100,0
Unselected Cases 0 ,0
Total 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
Observed
Predicted
Stroke Percentage
Correct Tidak Stroke Stroke
Step 0 Stroke Tidak Stroke 0 45 ,0
Stroke 0 45 100,0
Overall Percentage 50,0
a. Constant is included in the model.
Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant ,000 ,211 ,000 1 1,000 1,000
Variables not in the Equation
Score df Sig.
Step 0 Variables HT 16,172 1 ,000
DM 10,181 1 ,001
Obes 4,286 1 ,038
Overall Statistics 21,218 3 ,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 22,825 3 ,000
Block 22,825 3 ,000
Model 22,825 3 ,000
Model Summary
Step -2 Log likelihood
Cox & Snell R
Square
Nagelkerke R
Square
1 101,942a ,224 ,299
a. Estimation terminated at iteration number 4 because parameter
Classification Tablea
Observed
Predicted
Stroke Percentage
Correct Tidak Stroke Stroke
Step 1 Stroke 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
B S.E. Wald df Sig. Exp(B)
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 N Percent
Selected Cases Included in Analysis 90 100,0
Missing Cases 0 ,0
Total 90 100,0
Unselected Cases 0 ,0
Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 90 100,0
Missing Cases 0 ,0
Total 90 100,0
Unselected Cases 0 ,0
Total 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
Observed
Predicted
Stroke Percentage
Correct Tidak Stroke Stroke
Step 0 Stroke 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 S.E. Wald df Sig. Exp(B)
Variables not in the Equation
Score df Sig.
Step 0 Variables HT 16,172 1 ,000
DM 10,181 1 ,001
Overall Statistics 19,523 2 ,000
Block 1: Method = Enter
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 20,679 2 ,000
Block 20,679 2 ,000
Model 20,679 2 ,000
Model Summary
Step -2 Log likelihood
Cox & Snell R
Square
Nagelkerke R
Square
1 104,087a ,205 ,274
a. Estimation terminated at iteration number 4 because parameter
Classification Tablea
Observed
Predicted
Stroke Percentage
Correct Tidak Stroke Stroke
Step 1 Stroke 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
B S.E. Wald df Sig. Exp(B)
95% C.I.for
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
Constant -1,414 ,428 10,889 1 ,001 ,243
