ADHITYA PRADANA 22010110120064 BAB 8 KTI
66
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LAMPIRAN
Lampiran 1
75
76
Lampiran 2
76
77
Lampiran 3
PERNYATAAN KESEDIAAN MENJADI SUBJEK PENELITIAN
(INFORMED CONSENT)
Yang bertanda tangan di bawah ini, saya :
Nama
:
Umur/TTL
:
Alamat
:
No. Handphone
:
Bersedia dan mau berpartisipasi menjadi subjek penelitian yang berjudul
“Hubungan antara Indeks Massa Tubuh (IMT) dengan Nilai Lemak Viseral (Studi
Kasus pada Mahasiswa Kedokteran Undip )” yang dilakukan oleh:
Nama
:Adhitya Pradana
Instansi
:Program Studi Fakultas
Diponegoro Semarang
Kedokteran
Universitas
Demikian pernyataan ini saya buat dengan sesungguhnya tanpa ada
paksaan dari siapapun.
Mengetahui
Semarang,
Peneliti
2014
Subjek penelitian
(Adhitya Pradana)
(
77
)
78
Lampiran 4
Penjelasan mengenai penelitian dengan judul:
HUBUNGAN ANTARA INDEKS MASSA TUBUH (IMT) DENGAN NILAI
LEMAK VISERAL
(Studi kasus pada mahasiswa kedokteran Undip)
Saya (Adhitya Pradana) sedang melakukan penelitian dengan judul
“Hubungan Antara Indeks Massa Tubuh (IMT) dengan Nilai Lemak Viseral
(Studi kasus pada mahasiswa kedokteran Undip)”, maka saya sebagai peneliti
memohon kesediaan Saudara/Saudari untuk menjadi subjek penelitian dalam
kegiatan penelitian ini. Penelitian ini bertujuan untuk mencari dan menganalisis
hubungan antara IMT dengan nilai lemak viseral pada mahasiswa kedokteran
Undip.
Metode penelitian
Apabila Saudara/Saudari setuju berpartisipasi dalam penelitian ini, saya
akan melakukan beberapa pengukuran diantaranya :
1. Pengisisan data subjek penelitian.
2. Pengukuran lemak viseral menggunakan Tanita BC-601 yang berbasis
metode bioelectrical impedance analysis (BIA).
3. Indeks massa tubuh (IMT) melalui pengukuran berat badan dan tinggi
badan.
4. Pengisian kuesioner meliputi kebiasaan merokok, kebiasaan konsumsi
alkolhol, kebiasaan konsumsi makanan berlemak dan aktifitas
fisik(olahraga).
5. Waktu pemerikssaan kurang lebih 15 menit.
Manfaat yang akan diperoleh adalah dapat mengetahui hubungan antara
IMT dengan nilai lemak viseral, sehingga dapat digunakan sebagai informasi
mengenai IMT sebagai indikator untuk prediktor lemak viseral, serta sebagai
landasan untuk penelitian selanjutnya mengenai lemak viseral. Tidak ada efek
samping dan risiko yang merugikan pada pemeriksaan penelitian ini.
78
79
Semua keterangan yang diperoleh dari penelitian ini akan diperlakukan
secara rahasia. Saudara berhak menolak ikut serta dalam penelitian ini dan berhak
mengundurkan diri selama penelitian berlangsung. Selama penelitian Saudara
tidak dibebani biaya apapun, tetapi harus mengisi surat persetujuan mengikuti
penelitian.
Peneliti,
(Adhitya Pradana)
79
80
Lampiran 5
KUESIONER
HUBUNGAN ANTARA INDEKS MASSA TUBUH (IMT) DENGAN NILAI
LEMAK VISERAL
( Studi Kasus Pada Mahasiswa Kedokteran Undip )
Identitas subjek penelitian
1. Nama
:
2. Jenis kelamin
:
3. Umur
:
Data pengukuran Antropometri
1. Tinggi badan
:
2. Berat badan
:
3. IMT
:
4. Nilai lemak viseral
:
Data kelengkapan
1. Apakah anda perokok?
Ya / Tidak
2. Berapa batang rokok sehari yang dihabiskan?
Sebutkan: ...............
3. Apakah rutin melakukan aktivitas seperti olahraga? Ya / Kadang / Tidak
4. Berapa sering olahraga perminggu?
5. Berapa menit setiap kali melakukan olahraga?
Kuesioner Kebiasaan konsumsi alkohol
>1 x
sehari
1x
sehari
Berapa Kali Konsumsi Per
4-6 x /
3x/
1-2 x /
minggu minggu minggu
Alkohol
80
< 1x /
minggu
Tidak
pernah
81
Kuesioner Frekuensi Makan
Makanan
berlemak
>1 x
sehari
1x
sehari
Berapa Kali Konsumsi Per
4-6 x /
3x/
1-2 x /
minggu minggu minggu
Jeroan
(usus,
babat,
paru)
Daging
ayam
dengan
kulit
Telur
ayam
Susu full
cream
Keju
Alpukat
Minyak
goreng
Minyak
ikan
Santan
Minyak
sayur
Mentega/
margarin
Daging
kerbau/
sapi
Daging
kambing
Telur
bebek
Daging
bebek
Lain-lain
.................
81
< 1x /
minggu
Tidak
pernah
82
Lampiran 6
BUKU PETUNJUK INNER SCAN TANITA BC-601
MONITOR LEMAK TUBUH / TIMBANGAN
a. Pemrograman Umum
Alat akan menuntun anda dalam pengaturan. Tampilan akan menunjukkan
menu-menu utama dan alat akan berbunyi tiap kali langkah-langkah telah
dilaksanakan. Gunakan tombol naik atau turun (Up/down) untuk memilih
nomor data pribadi. Gunakan tombol set untuk menyimpan data.
b. Pilih nomor data pribadi
Nomor data pribadi menyimpan data-data pribadi dan gunakan tombol
naik atau turun (up/down) untuk memilih umur. Tekan set.
c. Pilih Pria atau Wanita (Male atau Female)
Pria dan Wanita. Standar atau atlet dewasa (baca definisinya dalam buku
manual)
d. Gunakan tombol naik atau turun (up/down) untuk menentukan tinggi
badan. Tekan set.
e. Alat akan berbunyi dua kali dan layar akan menampilkan data tiga kali
untuk konfirmasi pemrograman. Power kemudian akan mati secara
otomatis.
f. Lakukan pengukuran
Setelah memprogram data pribadi, anda melakukan pengukuran.
Tekan tombol tanda panah “Up” untuk mengaktifkan alat.
Tekan tombol tanda panah “Up”/Down untuk memilih nomor data pribadi.
Tekan tombol set. Alat akan menyala dan naiklah ke atas pijakan.
g. Berat tubuh akan muncul dahulu .Teruskan berdiri di atas timbangan .
Hasil pengukuran akan ditampilkan secara bergantian sebanyak 3 kali.
h. Pahami hasil pengukuran
Monitor lemak tubuh anada secara otomatis membandingkan hasil
pengukuran lemak tubuh dengan batas lemak tubuh sehat.
Peringatan
Jangan gunakan fitur pengukuran kadar lemak tubuh alat ini jika anda
sedang menggunakan alat pemacu jantung atau alat elektronik yang dicangkok
ke dalam tubuh
82
83
Lampiran 7
Hasil crosstabulasi
Indeks Massa Tubuh * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Indeks Massa
Tubuh
Overweight
Count
Normal
25
2,5
22,5
25,0
75,0%
26,4%
31,3%
2
53
55
5,5
49,5
55,0
25,0%
73,6%
68,8%
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
Total
Count
Expected Count
% within Nilai
Lemak Viseral
Berlebih
19
Count
% within Nilai
Lemak Viseral
Sehat
6
Expected Count
% within Nilai
Lemak Viseral
Total
Chi-Square Tests
Pearson Chi-Square
1
Asymp. Sig.
(2-sided)
,005
5,818
1
,016
7,276
1
,007
Value
7,919(b)
Continuity
Correction(a)
Likelihood Ratio
df
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,010
Linear-by-Linear
Association
7,820
N of Valid Cases
80
1
,010
,005
a Computed only for a 2x2 table
b 1 cells (25,0%) have expected count less than 5. The minimum expected count is 2,50.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
,787
Asymp.
Std.
Error(a)
,164
Approx.
T(b)
2,239
Approx. Sig.
,025
Spearman Correlation
,315
,114
2,927
,004(c)
Pearson's R
,315
,114
2,927
,004(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
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84
Jenis kelamin * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Jenis kelamin
Laki-laki
Count
Perempuan
39
45
40,5
45,0
75,0%
54,2%
56,3%
2
33
35
3,5
31,5
35,0
25,0%
45,8%
43,8%
Expected Count
Total
Count
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
% within Nilai
Lemak Viseral
Berlebih
6
Count
% within Nilai
Lemak Viseral
Sehat
4,5
Expected Count
% within Nilai
Lemak Viseral
Total
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
1,270(b)
1
,260
,564
1
,453
1,340
1
,247
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,455
Linear-by-Linear
Association
1,254
N of Valid Cases
80
1
,229
,263
a Computed only for a 2x2 table
b 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
,435
Asymp.
Std.
Error(a)
,345
Approx.
T(b)
1,188
Approx. Sig.
,235
Spearman Correlation
,126
,101
1,122
,265(c)
Pearson's R
,126
,101
1,122
,265(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
84
85
Kebiasaan merokok * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Kebiasaan
merokok
Merokok
Berlebih
2
3
5
Expected Count
,5
4,5
5,0
25,0%
4,2%
6,3%
Count
6
69
75
7,5
67,5
75,0
75,0%
95,8%
93,8%
Expected Count
% within Nilai
Lemak Viseral
Total
Sehat
Count
% within Nilai
Lemak Viseral
Tidak Merokok
Total
Count
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
% within Nilai
Lemak Viseral
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
5,333(b)
1
,021
2,370
1
,124
3,468
1
,063
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,076
Linear-by-Linear
Association
5,267
N of Valid Cases
80
1
,076
,022
a Computed only for a 2x2 table
b 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,50.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
,769
Asymp.
Std.
Error(a)
,206
Approx.
T(b)
1,248
Approx. Sig.
,212
Spearman Correlation
,258
,177
2,360
,021(c)
Pearson's R
,258
,177
2,360
,021(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
85
86
Kebiasaan konsumsi makanan berlemak * Nilai Lemak
Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Kebiasaan konsumsi
makanan berlemak
Sering dikonsumsi
Count
Expected Count
% within Nilai
Lemak Viseral
Jarang dikonsumsi
Sehat
Berlebih
7
70
77
7,7
69,3
77,0
87,5%
97,2%
96,3%
Count
1
2
3
Expected Count
,3
2,7
3,0
12,5%
2,8%
3,8%
% within Nilai
Lemak Viseral
Total
Total
Count
Expected Count
% within Nilai
Lemak Viseral
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
1,886(b)
1
,170
,154
1
,695
1,280
1
,258
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,274
Linear-by-Linear
Association
1,862
N of Valid Cases
80
1
,274
,172
a Computed only for a 2x2 table
b 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,30.
Symmetric Measures
Asymp.
Std.
Error(a)
Value
Ordinal by Ordinal
Interval by Interval
Approx.
T(b)
Approx. Sig.
Gamma
-,667
,358
-,797
,426
Spearman Correlation
-,154
,175
-1,372
,174(c)
Pearson's R
-,154
,175
-1,372
,174(c)
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
86
87
Aktifitas fisik * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Aktifitas
fisik
Kurang
Count
Cukup
48
52
46,8
52,0
50,0%
66,7%
65,0%
4
24
28
2,8
25,2
28,0
50,0%
33,3%
35,0%
Expected Count
Total
Count
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
% within Nilai
Lemak Viseral
Berlebih
4
Count
% within Nilai
Lemak Viseral
Sehat
5,2
Expected Count
% within Nilai
Lemak Viseral
Total
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
,879(b)
1
,348
,299
1
,584
,843
1
,359
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,441
Linear-by-Linear
Association
,868
N of Valid Cases
80
1
,286
,351
a Computed only for a 2x2 table
b 1 cells (25,0%) have expected count less than 5. The minimum expected count is 2,80.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
-,333
Asymp.
Std.
Error(a)
,333
Approx.
T(b)
-,869
Approx. Sig.
,385
Spearman Correlation
-,105
,117
-,931
,355(c)
Pearson's R
-,105
,117
-,931
,355(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
87
88
Diskriptif nilai lemak viseral menurut jenis kelamin
Descriptives
Nilai lemak viseral
JK
Laki-laki
Statistic
5,78
Mean
Median
5,00
Variance
20,586
Std. Deviation
Perempuan
Std. Error
,676
4,537
Minimum
1
Maximum
18
Range
17
Mean
3,40
Median
3,00
Variance
9,424
Std. Deviation
3,070
Minimum
1
Maximum
13
Range
12
,519
Uji normalitas pada nilai lemak viseral menurut jenis kelamin
Tests of Normality
Kolmogorov-Smirnov(a)
JK
Laki-laki
Statistic
Perempuan
df
Shapiro-Wilk
Sig.
Statistic
df
Sig.
,165
45
,004
,889
45
,000
,238
35
,000
,750
35
,000
a Lilliefors Significance Correction
Test of Homogeneity of Variance
Levene
Statistic
Nilai lemak viseral
df1
df2
Sig.
Based on Mean
6,387
1
78
,014
Based on Median
5,959
1
78
,017
Based on Median and with
adjusted df
5,959
1
74,323
,017
Based on trimmed mean
6,846
1
78
,011
88
89
Perbedaan Nilai lemak viseral
Uji Mann-Whitney Test
Ranks
Nilai lemak viseral
JK
Laki-laki
N
Mean Rank
Sum of Ranks
45
45,84
2063,00
Perempuan
35
33,63
1177,00
Total
80
Test Statistics(a)
Nilai lemak
viseral
547,000
Mann-Whitney U
Wilcoxon W
1177,000
Z
-2,379
Asymp. Sig. (2-tailed)
,017
a Grouping Variable: JK
Frequencies
Statistics
N
Valid
Missing
Mean
Median
Nilai lemak
viseral
80
Indeks massa
tubuh
80
BR
80
0
0
0
4,74
22,3737
,55
4,00
21,6000
,00
4,115
4,38815
2,894
Minimum
1
16,20
0
Maximum
18
40,60
22
Std. Deviation
89
90
Uji Multivariat
Logistic Regression
Categorical Variables Codings
Kebiasaan
merokok
Frequency
Parameter
coding
(1)
(1)
Merokok
Tidak Merokok
Indeks Massa
Tubuh
Overweight
Normal
5
1,000
75
,000
25
1,000
55
,000
Classification Table(a,b)
Observed
Predicted
Percentage
Correct
Nilai Lemak Viseral
Berlebih
Step 0
Nilai Lemak Viseral
Sehat
Berlebih
Berlebih
0
8
,0
Sehat
0
72
100,0
Overall Percentage
90,0
a Constant is included in the model.
b The cut value is ,500
Variables in the Equation
Step 0
B
2,197
Constant
S.E.
,373
Wald
34,760
df
1
Sig.
,000
1
Sig.
,005
Variables not in the Equation
Step 0
Variables
IMT(1)
Score
7,919
KM(1)
5,333
1
,021
12,649
2
,002
Overall Statistics
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
10,665
2
,005
Block
10,665
2
,005
Model
10,665
2
,005
90
df
Exp(B)
9,000
91
Model Summary
-2 Log
likelihood
Step
1
Cox & Snell
R Square
Nagelkerke R
Square
41,348(a)
,125
,261
a Estimation terminated at iteration number 6 because parameter estimates changed by less than
,001.
Hosmer and Lemeshow Test
Step
1
Chi-square
,157
Df
Sig.
,692
1
Contingency Table for Hosmer and Lemeshow Test
Nilai Lemak Viseral =
Berlebih
Observed
Step 1
Nilai Lemak Viseral =
Sehat
Expected
Observed
Expected
Total
Observed
1
2
2,000
3
3,000
5
2
5
4,606
18
18,394
23
3
1
1,394
51
50,606
52
Classification Table(a)
Observed
Predicted
Percentage
Correct
Nilai Lemak Viseral
Berlebih
Step 1
Nilai Lemak Viseral
Sehat
Berlebih
Berlebih
1
7
12,5
Sehat
1
71
98,6
Overall Percentage
90,0
a The cut value is ,500
Variables in the Equation
B
Step
1(a)
S.E.
IMT(1)
-2,207
,906
KM(1)
-2,218
3,592
Constant
Wald
df
Sig.
Exp(B)
5,928
1
,015
1,166
3,617
1
,057
,109
,798
20,244
1
,000
36,301
a Variable(s) entered on step 1: IMT, KM.
91
,110
92
Lampiran 8
Pelaksanaan penelitian
Tanita BC-601
92
93
Lampiran 9
Biodata Mahasiswa
Nama
: Adhitya Pradana
NIM
: 22010110120064
Tempat/tanggal lahir : Cilacap / 4 Juli 1992
Jenis kelamin
: Laki-laki
Alamat
: Jl. H Agus Salim 18 Yogyakarta
Nomor Telepon
:-
Nomor HP
: 081392142470
e-mail
: adh1tya064@yahoo.com
Riwayat Pendidikan Formal
1. SD
: SD N NGABEAN I Yogyakarta
2. SMP
: SMP N 8 Yogyakarta
3. SMA
: SMA N 1 Yogyakarta
4. FK UNDIP
: Masuk tahun 2010
93
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62. Susanne B, Rebecca S.M, Daniel A.D, Christina Koutsari, and Michael D.
Jensen.Meal. Fatty Acid Uptake in Visceral Fat in Women. Diabetes. 2007;
56:2589–2597.
63. Yasmeen R, Reichert B, Deiuliis J, Yang F, Lynch A, Meyers J, et al.
Autocrine function of aldehyde dehydrogenase 1 as a determinant of diet- and
sex-specific differences in visceral adiposity. Diabetes. 2013; 62(1): 124-36.
64. Cris A. Slentz , Lori B. Aiken , Joseph. Houmard , Connie W. Bales , Johanna
L. Johnson , Charles J. Tanner , et al. Inactivity, exercise, and visceral fat.
STRRIDE: a randomized, controlled study of exercise intensity and amount.
Journal of Applied Physiology. 2005; 99: 1613-1618.
65. I. Giannopoulou, L. L. Ploutz-Snyder, R. Carhart, R. S. Weinstock, B.
Fernhall, S. Goulopoulou, et al. Exercise Is Required for Visceral Fat Loss in
Postmenopausal Women with Type 2 Diabetes. J Clin Endocrinol Metab.
2005; 90: 1511–1518.
66. Brian E Saelens, Randy J Seeley, Kelly van Schaick, Lane F Donnelly, and
Kendall J O’Brien. Visceral abdominal fat is correlated with whole-body fat
and physical activity among 8-y-old children at risk of obesity. Am J Clin
Nutr. 2007;85:46 –53.
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75
LAMPIRAN
Lampiran 1
75
76
Lampiran 2
76
77
Lampiran 3
PERNYATAAN KESEDIAAN MENJADI SUBJEK PENELITIAN
(INFORMED CONSENT)
Yang bertanda tangan di bawah ini, saya :
Nama
:
Umur/TTL
:
Alamat
:
No. Handphone
:
Bersedia dan mau berpartisipasi menjadi subjek penelitian yang berjudul
“Hubungan antara Indeks Massa Tubuh (IMT) dengan Nilai Lemak Viseral (Studi
Kasus pada Mahasiswa Kedokteran Undip )” yang dilakukan oleh:
Nama
:Adhitya Pradana
Instansi
:Program Studi Fakultas
Diponegoro Semarang
Kedokteran
Universitas
Demikian pernyataan ini saya buat dengan sesungguhnya tanpa ada
paksaan dari siapapun.
Mengetahui
Semarang,
Peneliti
2014
Subjek penelitian
(Adhitya Pradana)
(
77
)
78
Lampiran 4
Penjelasan mengenai penelitian dengan judul:
HUBUNGAN ANTARA INDEKS MASSA TUBUH (IMT) DENGAN NILAI
LEMAK VISERAL
(Studi kasus pada mahasiswa kedokteran Undip)
Saya (Adhitya Pradana) sedang melakukan penelitian dengan judul
“Hubungan Antara Indeks Massa Tubuh (IMT) dengan Nilai Lemak Viseral
(Studi kasus pada mahasiswa kedokteran Undip)”, maka saya sebagai peneliti
memohon kesediaan Saudara/Saudari untuk menjadi subjek penelitian dalam
kegiatan penelitian ini. Penelitian ini bertujuan untuk mencari dan menganalisis
hubungan antara IMT dengan nilai lemak viseral pada mahasiswa kedokteran
Undip.
Metode penelitian
Apabila Saudara/Saudari setuju berpartisipasi dalam penelitian ini, saya
akan melakukan beberapa pengukuran diantaranya :
1. Pengisisan data subjek penelitian.
2. Pengukuran lemak viseral menggunakan Tanita BC-601 yang berbasis
metode bioelectrical impedance analysis (BIA).
3. Indeks massa tubuh (IMT) melalui pengukuran berat badan dan tinggi
badan.
4. Pengisian kuesioner meliputi kebiasaan merokok, kebiasaan konsumsi
alkolhol, kebiasaan konsumsi makanan berlemak dan aktifitas
fisik(olahraga).
5. Waktu pemerikssaan kurang lebih 15 menit.
Manfaat yang akan diperoleh adalah dapat mengetahui hubungan antara
IMT dengan nilai lemak viseral, sehingga dapat digunakan sebagai informasi
mengenai IMT sebagai indikator untuk prediktor lemak viseral, serta sebagai
landasan untuk penelitian selanjutnya mengenai lemak viseral. Tidak ada efek
samping dan risiko yang merugikan pada pemeriksaan penelitian ini.
78
79
Semua keterangan yang diperoleh dari penelitian ini akan diperlakukan
secara rahasia. Saudara berhak menolak ikut serta dalam penelitian ini dan berhak
mengundurkan diri selama penelitian berlangsung. Selama penelitian Saudara
tidak dibebani biaya apapun, tetapi harus mengisi surat persetujuan mengikuti
penelitian.
Peneliti,
(Adhitya Pradana)
79
80
Lampiran 5
KUESIONER
HUBUNGAN ANTARA INDEKS MASSA TUBUH (IMT) DENGAN NILAI
LEMAK VISERAL
( Studi Kasus Pada Mahasiswa Kedokteran Undip )
Identitas subjek penelitian
1. Nama
:
2. Jenis kelamin
:
3. Umur
:
Data pengukuran Antropometri
1. Tinggi badan
:
2. Berat badan
:
3. IMT
:
4. Nilai lemak viseral
:
Data kelengkapan
1. Apakah anda perokok?
Ya / Tidak
2. Berapa batang rokok sehari yang dihabiskan?
Sebutkan: ...............
3. Apakah rutin melakukan aktivitas seperti olahraga? Ya / Kadang / Tidak
4. Berapa sering olahraga perminggu?
5. Berapa menit setiap kali melakukan olahraga?
Kuesioner Kebiasaan konsumsi alkohol
>1 x
sehari
1x
sehari
Berapa Kali Konsumsi Per
4-6 x /
3x/
1-2 x /
minggu minggu minggu
Alkohol
80
< 1x /
minggu
Tidak
pernah
81
Kuesioner Frekuensi Makan
Makanan
berlemak
>1 x
sehari
1x
sehari
Berapa Kali Konsumsi Per
4-6 x /
3x/
1-2 x /
minggu minggu minggu
Jeroan
(usus,
babat,
paru)
Daging
ayam
dengan
kulit
Telur
ayam
Susu full
cream
Keju
Alpukat
Minyak
goreng
Minyak
ikan
Santan
Minyak
sayur
Mentega/
margarin
Daging
kerbau/
sapi
Daging
kambing
Telur
bebek
Daging
bebek
Lain-lain
.................
81
< 1x /
minggu
Tidak
pernah
82
Lampiran 6
BUKU PETUNJUK INNER SCAN TANITA BC-601
MONITOR LEMAK TUBUH / TIMBANGAN
a. Pemrograman Umum
Alat akan menuntun anda dalam pengaturan. Tampilan akan menunjukkan
menu-menu utama dan alat akan berbunyi tiap kali langkah-langkah telah
dilaksanakan. Gunakan tombol naik atau turun (Up/down) untuk memilih
nomor data pribadi. Gunakan tombol set untuk menyimpan data.
b. Pilih nomor data pribadi
Nomor data pribadi menyimpan data-data pribadi dan gunakan tombol
naik atau turun (up/down) untuk memilih umur. Tekan set.
c. Pilih Pria atau Wanita (Male atau Female)
Pria dan Wanita. Standar atau atlet dewasa (baca definisinya dalam buku
manual)
d. Gunakan tombol naik atau turun (up/down) untuk menentukan tinggi
badan. Tekan set.
e. Alat akan berbunyi dua kali dan layar akan menampilkan data tiga kali
untuk konfirmasi pemrograman. Power kemudian akan mati secara
otomatis.
f. Lakukan pengukuran
Setelah memprogram data pribadi, anda melakukan pengukuran.
Tekan tombol tanda panah “Up” untuk mengaktifkan alat.
Tekan tombol tanda panah “Up”/Down untuk memilih nomor data pribadi.
Tekan tombol set. Alat akan menyala dan naiklah ke atas pijakan.
g. Berat tubuh akan muncul dahulu .Teruskan berdiri di atas timbangan .
Hasil pengukuran akan ditampilkan secara bergantian sebanyak 3 kali.
h. Pahami hasil pengukuran
Monitor lemak tubuh anada secara otomatis membandingkan hasil
pengukuran lemak tubuh dengan batas lemak tubuh sehat.
Peringatan
Jangan gunakan fitur pengukuran kadar lemak tubuh alat ini jika anda
sedang menggunakan alat pemacu jantung atau alat elektronik yang dicangkok
ke dalam tubuh
82
83
Lampiran 7
Hasil crosstabulasi
Indeks Massa Tubuh * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Indeks Massa
Tubuh
Overweight
Count
Normal
25
2,5
22,5
25,0
75,0%
26,4%
31,3%
2
53
55
5,5
49,5
55,0
25,0%
73,6%
68,8%
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
Total
Count
Expected Count
% within Nilai
Lemak Viseral
Berlebih
19
Count
% within Nilai
Lemak Viseral
Sehat
6
Expected Count
% within Nilai
Lemak Viseral
Total
Chi-Square Tests
Pearson Chi-Square
1
Asymp. Sig.
(2-sided)
,005
5,818
1
,016
7,276
1
,007
Value
7,919(b)
Continuity
Correction(a)
Likelihood Ratio
df
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,010
Linear-by-Linear
Association
7,820
N of Valid Cases
80
1
,010
,005
a Computed only for a 2x2 table
b 1 cells (25,0%) have expected count less than 5. The minimum expected count is 2,50.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
,787
Asymp.
Std.
Error(a)
,164
Approx.
T(b)
2,239
Approx. Sig.
,025
Spearman Correlation
,315
,114
2,927
,004(c)
Pearson's R
,315
,114
2,927
,004(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
83
84
Jenis kelamin * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Jenis kelamin
Laki-laki
Count
Perempuan
39
45
40,5
45,0
75,0%
54,2%
56,3%
2
33
35
3,5
31,5
35,0
25,0%
45,8%
43,8%
Expected Count
Total
Count
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
% within Nilai
Lemak Viseral
Berlebih
6
Count
% within Nilai
Lemak Viseral
Sehat
4,5
Expected Count
% within Nilai
Lemak Viseral
Total
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
1,270(b)
1
,260
,564
1
,453
1,340
1
,247
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,455
Linear-by-Linear
Association
1,254
N of Valid Cases
80
1
,229
,263
a Computed only for a 2x2 table
b 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,50.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
,435
Asymp.
Std.
Error(a)
,345
Approx.
T(b)
1,188
Approx. Sig.
,235
Spearman Correlation
,126
,101
1,122
,265(c)
Pearson's R
,126
,101
1,122
,265(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
84
85
Kebiasaan merokok * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Kebiasaan
merokok
Merokok
Berlebih
2
3
5
Expected Count
,5
4,5
5,0
25,0%
4,2%
6,3%
Count
6
69
75
7,5
67,5
75,0
75,0%
95,8%
93,8%
Expected Count
% within Nilai
Lemak Viseral
Total
Sehat
Count
% within Nilai
Lemak Viseral
Tidak Merokok
Total
Count
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
% within Nilai
Lemak Viseral
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
5,333(b)
1
,021
2,370
1
,124
3,468
1
,063
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,076
Linear-by-Linear
Association
5,267
N of Valid Cases
80
1
,076
,022
a Computed only for a 2x2 table
b 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,50.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
,769
Asymp.
Std.
Error(a)
,206
Approx.
T(b)
1,248
Approx. Sig.
,212
Spearman Correlation
,258
,177
2,360
,021(c)
Pearson's R
,258
,177
2,360
,021(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
85
86
Kebiasaan konsumsi makanan berlemak * Nilai Lemak
Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Kebiasaan konsumsi
makanan berlemak
Sering dikonsumsi
Count
Expected Count
% within Nilai
Lemak Viseral
Jarang dikonsumsi
Sehat
Berlebih
7
70
77
7,7
69,3
77,0
87,5%
97,2%
96,3%
Count
1
2
3
Expected Count
,3
2,7
3,0
12,5%
2,8%
3,8%
% within Nilai
Lemak Viseral
Total
Total
Count
Expected Count
% within Nilai
Lemak Viseral
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
1,886(b)
1
,170
,154
1
,695
1,280
1
,258
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,274
Linear-by-Linear
Association
1,862
N of Valid Cases
80
1
,274
,172
a Computed only for a 2x2 table
b 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,30.
Symmetric Measures
Asymp.
Std.
Error(a)
Value
Ordinal by Ordinal
Interval by Interval
Approx.
T(b)
Approx. Sig.
Gamma
-,667
,358
-,797
,426
Spearman Correlation
-,154
,175
-1,372
,174(c)
Pearson's R
-,154
,175
-1,372
,174(c)
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
86
87
Aktifitas fisik * Nilai Lemak Viseral
Crosstab
Nilai Lemak Viseral
Berlebih
Aktifitas
fisik
Kurang
Count
Cukup
48
52
46,8
52,0
50,0%
66,7%
65,0%
4
24
28
2,8
25,2
28,0
50,0%
33,3%
35,0%
Expected Count
Total
Count
8
72
80
8,0
72,0
80,0
100,0%
100,0%
100,0%
Expected Count
% within Nilai
Lemak Viseral
Berlebih
4
Count
% within Nilai
Lemak Viseral
Sehat
5,2
Expected Count
% within Nilai
Lemak Viseral
Total
Chi-Square Tests
Value
Pearson Chi-Square
Asymp. Sig.
(2-sided)
df
,879(b)
1
,348
,299
1
,584
,843
1
,359
Continuity
Correction(a)
Likelihood Ratio
Exact Sig.
(2-sided)
Fisher's Exact Test
Exact Sig.
(1-sided)
,441
Linear-by-Linear
Association
,868
N of Valid Cases
80
1
,286
,351
a Computed only for a 2x2 table
b 1 cells (25,0%) have expected count less than 5. The minimum expected count is 2,80.
Symmetric Measures
Ordinal by Ordinal
Interval by Interval
Value
-,333
Asymp.
Std.
Error(a)
,333
Approx.
T(b)
-,869
Approx. Sig.
,385
Spearman Correlation
-,105
,117
-,931
,355(c)
Pearson's R
-,105
,117
-,931
,355(c)
Gamma
N of Valid Cases
80
a Not assuming the null hypothesis.
b Using the asymptotic standard error assuming the null hypothesis.
c Based on normal approximation.
87
88
Diskriptif nilai lemak viseral menurut jenis kelamin
Descriptives
Nilai lemak viseral
JK
Laki-laki
Statistic
5,78
Mean
Median
5,00
Variance
20,586
Std. Deviation
Perempuan
Std. Error
,676
4,537
Minimum
1
Maximum
18
Range
17
Mean
3,40
Median
3,00
Variance
9,424
Std. Deviation
3,070
Minimum
1
Maximum
13
Range
12
,519
Uji normalitas pada nilai lemak viseral menurut jenis kelamin
Tests of Normality
Kolmogorov-Smirnov(a)
JK
Laki-laki
Statistic
Perempuan
df
Shapiro-Wilk
Sig.
Statistic
df
Sig.
,165
45
,004
,889
45
,000
,238
35
,000
,750
35
,000
a Lilliefors Significance Correction
Test of Homogeneity of Variance
Levene
Statistic
Nilai lemak viseral
df1
df2
Sig.
Based on Mean
6,387
1
78
,014
Based on Median
5,959
1
78
,017
Based on Median and with
adjusted df
5,959
1
74,323
,017
Based on trimmed mean
6,846
1
78
,011
88
89
Perbedaan Nilai lemak viseral
Uji Mann-Whitney Test
Ranks
Nilai lemak viseral
JK
Laki-laki
N
Mean Rank
Sum of Ranks
45
45,84
2063,00
Perempuan
35
33,63
1177,00
Total
80
Test Statistics(a)
Nilai lemak
viseral
547,000
Mann-Whitney U
Wilcoxon W
1177,000
Z
-2,379
Asymp. Sig. (2-tailed)
,017
a Grouping Variable: JK
Frequencies
Statistics
N
Valid
Missing
Mean
Median
Nilai lemak
viseral
80
Indeks massa
tubuh
80
BR
80
0
0
0
4,74
22,3737
,55
4,00
21,6000
,00
4,115
4,38815
2,894
Minimum
1
16,20
0
Maximum
18
40,60
22
Std. Deviation
89
90
Uji Multivariat
Logistic Regression
Categorical Variables Codings
Kebiasaan
merokok
Frequency
Parameter
coding
(1)
(1)
Merokok
Tidak Merokok
Indeks Massa
Tubuh
Overweight
Normal
5
1,000
75
,000
25
1,000
55
,000
Classification Table(a,b)
Observed
Predicted
Percentage
Correct
Nilai Lemak Viseral
Berlebih
Step 0
Nilai Lemak Viseral
Sehat
Berlebih
Berlebih
0
8
,0
Sehat
0
72
100,0
Overall Percentage
90,0
a Constant is included in the model.
b The cut value is ,500
Variables in the Equation
Step 0
B
2,197
Constant
S.E.
,373
Wald
34,760
df
1
Sig.
,000
1
Sig.
,005
Variables not in the Equation
Step 0
Variables
IMT(1)
Score
7,919
KM(1)
5,333
1
,021
12,649
2
,002
Overall Statistics
Omnibus Tests of Model Coefficients
Chi-square
Step 1
df
Sig.
Step
10,665
2
,005
Block
10,665
2
,005
Model
10,665
2
,005
90
df
Exp(B)
9,000
91
Model Summary
-2 Log
likelihood
Step
1
Cox & Snell
R Square
Nagelkerke R
Square
41,348(a)
,125
,261
a Estimation terminated at iteration number 6 because parameter estimates changed by less than
,001.
Hosmer and Lemeshow Test
Step
1
Chi-square
,157
Df
Sig.
,692
1
Contingency Table for Hosmer and Lemeshow Test
Nilai Lemak Viseral =
Berlebih
Observed
Step 1
Nilai Lemak Viseral =
Sehat
Expected
Observed
Expected
Total
Observed
1
2
2,000
3
3,000
5
2
5
4,606
18
18,394
23
3
1
1,394
51
50,606
52
Classification Table(a)
Observed
Predicted
Percentage
Correct
Nilai Lemak Viseral
Berlebih
Step 1
Nilai Lemak Viseral
Sehat
Berlebih
Berlebih
1
7
12,5
Sehat
1
71
98,6
Overall Percentage
90,0
a The cut value is ,500
Variables in the Equation
B
Step
1(a)
S.E.
IMT(1)
-2,207
,906
KM(1)
-2,218
3,592
Constant
Wald
df
Sig.
Exp(B)
5,928
1
,015
1,166
3,617
1
,057
,109
,798
20,244
1
,000
36,301
a Variable(s) entered on step 1: IMT, KM.
91
,110
92
Lampiran 8
Pelaksanaan penelitian
Tanita BC-601
92
93
Lampiran 9
Biodata Mahasiswa
Nama
: Adhitya Pradana
NIM
: 22010110120064
Tempat/tanggal lahir : Cilacap / 4 Juli 1992
Jenis kelamin
: Laki-laki
Alamat
: Jl. H Agus Salim 18 Yogyakarta
Nomor Telepon
:-
Nomor HP
: 081392142470
: adh1tya064@yahoo.com
Riwayat Pendidikan Formal
1. SD
: SD N NGABEAN I Yogyakarta
2. SMP
: SMP N 8 Yogyakarta
3. SMA
: SMA N 1 Yogyakarta
4. FK UNDIP
: Masuk tahun 2010
93