ihwanu sholeh 22010111130087 BAB VIII

DAFTAR PUSTAKA

1.

Adrianjah H, Adam J. Pengertian, Epidemiologi, dan Kriteria Diagnosis.
Informasi Laboratorium Prodia. 2006;4.

2.

WHO. Definition, Diagnosis and Classification of Diabetes Mellitus and Its
Complication. Part 1: Diagnosis and Classification of Diabetes Mellitus.
Geneva: 1999.

3.

Hossain S, Fatema K, Ahmed KR. Diabetes & Metabolic Syndrome:
Clinical Research & Reviews. Clin Res Rev. 2014;394:4.

4.

Cameron A, Shaw J, Zimmet P. The metabolic syndrome: prevalence in

worldwide populations. 2004;33:351-75.

5.

Kamso S, Purwantyastuty, Lubis DU, Robbi YK, Besral. Prevalensi dan
Determinan Sindrom Metrabolik pada Kelompok Eksekutif di Jakarta dan
Sekitarnya. Jurnal Kesehatan Masyarakat Nasional. 2011;6:85-90.

6.

Soewondo P, Purnamasari D, Oemardi M, Waspadji S, Soegondo S.
Prevalence of Metabolic Syndrome Using NCEP/ATP III Criteria in
Jakarta, Indonesia: The Jakarta Primary Non-communicable Disease Risk
Factors Surveillance 2006. Department of Internal Medicine. Faculty of
Medicine. University of Indonesia: 2010;42.

7.

Kamso S. Metabolic syndrome in the Indonesian Elderly Medical Journal
of Indonesia. 2007;16.


8.

Yu D, Simmons D. Association between lung capacity measurements and
abnormal glucose metabolism: findings from the Crossroads study. Diabetic
medicine : a journal of the British Diabetic Association. 2014;31:595-9.

9.

Yoshimura C, Oga T, Chin K, Takegami M, Takahashi K, Sumi K, et al.
Relationships of decreased lung function with metabolic syndrome and
obstructive

sleep

apnea

in

Japanese


males.

Internal

medicine.

2012;51:2291-7.
10.

Zammit C, Liddicoat H, Moonsie I, Makker H. Obesity and respiratory
diseases. International journal of general medicine. 2010;3:335-43.
45

46

11.

Leone N, Courbon D, Thomas F, Bean K, Jego B, Leynaert B, et al. Lung
Function Impairment and Metabolic Syndrome: The Critical Role of

Abdominal Obesity. American Journal of Respiratory and Critical Care
Medicine. 2009;179:509-16.

12.

Scarlata S, Pasqualetti P, Fimognari FL, Giua R, Franco A, Pasqualetti P, et
al. Lung Function Changes in Older People with Metabolic Syndrome and
Diabetes. Japan Geriatrics Society. 2013;13:894-900.

13.

Taylor AE, Ebrahim S, Ben-Shlomo Y, Martin RM, Whincup PH, Yarnell
JW, et al. Comparison of the associations of body mass index and measures
of central adiposity and fat mass with coronary heart disease, diabetes, and
all-cause mortality: a study using data from 4 UK cohorts. The American
Journal of Clinical Nutrition. 2010;91:547-56.

14.

Fimognari FL, Pasqualetti P, Moro L, Franco A, Piccirillo G, Pastorelli R,

et al. The Association Between Metabolic Syndrome and Restrictive
Ventilatory Dysfunction in Older Persons. The Journals of Gerontology:
Series A 2007;62:760-5.

15.

DP L, Adrianison, M A. Gambaran nilai peak expiratory flow rate (PEFR)
dan keluhan respirasi pada petugas kebersihan dinas kebersihan kota
Pekanbaru.

16.

Klein BE, Klein R, Lee KE. Components of the metabolic syndrome and
risk of cardiovascular disease and diabetes in Beaver Dam. Diabetes Care.
2002;25:1790-4.

17.

Isomaa B, Almgren P, Tuomi T, Forsén B, Lahti K, Nissén M, et al.
Cardiovascular morbidity and mortality associated with the metabolic

syndrome. Diabetes Care. 2001;24:683-9.

18.

Hristova M. Metabolic Syndrome and Neurotrophins : Effects of
Methformin and Non Steroidal Anti Inflammatory Drug Treatment Eur J
Med. 2011;43:141-5.

19.

Gustafson B. Adipose tissue , inflammation and atherosclerosis. J
Atheroscler Thromb. 2010;17.

47

20.

Buku Ajar Ilmu Penyakit Dalam, 5 ed. Jakarta: InternaPublishing;
2009:2999.


21.

Aye. Metabolic Syndrome. J Metabolic Synd. 2014;3.

22.

Das U. Is metabolic syndrome X an inflammatory condition? miniriview.
Exp biol med. 2002;227:989-97.

23.

Jafar N. Sindrom Metabolik. Fakultas Kesehatan Masyarakat. Makassar:
Universitas Hasanuddin; 2011.

24.

Serrano R, Villar M, Gallardo N, Carracosa JM, Martinez C, Andres A. The
effect of aging on insulin signaling pathway is tissue in the insulin resistance
of aging. Mechanism of Aging and Development. 2008;130:189-97.


25.

Garrow JS. Obesity and related diseases. Edinburg. 1988.

26.

Bae M-S, Han J-H, Kim J-H, Kim Y-J, Lee K-J, Kwon K-Y. The
Relationship between Metabolic Syndrome and Pulmonary Function.
Korean J Fam Med. 2012;33:70-8.

27.

Moreno L, Pineda I, Rodrı´guez G, Fleta J, Sarrı´a A, Bueno M. Waist
circumference for the screening of the metabolic syndrome in children. Acta
pediatric. 2002;91:1307-12.

28.

Shahar SiMJS. Metabolic Syndrome: The Association of Obesity and
Unhealthy Lifestyle among Malaysian Elderly People. Archives of

Gerontology and Geriatrics. 2014.

29.

Liu S, Manson JE, Stampfer MJ, Holmes MD, Hu FB, Hankinson SE.
Dietary glycemic load assessed by food frequency questionnaire in relation
to plasma high-densitylipoprotein cholesterol and fasting plasma
triglyceride in postmenopausal woman. Am J Clin Nutr. 2001;73.

30.

Azadbakht L, Mirmiran P, Esmaillzadeh A, Azizi F. Dairy consumption is
inversely associated with the prevalence of the metabolic syndrome in
Tehranian adults. Am J Clin Nutr. 2005;82:523-30.

31.

Woolf K, Reese CE, Mason MP, Beaird LC, Tudor-Locke C, Vaughan LA.
Physical activity is assosiated with risk factors for chronic disease across
adult women's life cyvcle. J Am Diet Assoc. 2008;108:948-59.


48

32.

Cho ER, Shin A, Kim J, Jee SH, Sung J. Leisure-time physical activity is
associated with a reduced risk for metabolic syndrome. Ann Epidemiol
2009;19:784-92.

33.

Wiley J, Sons. The Metabolic Syndrome. London: Blackwell Ltd; 2011.

34.

Murer M, Schmied C, Battegay E, Keller D. Physical activity behaviour in
patients with metabolic syndrome. Swiss Med Wkly. 2012;142.

35.


Soeharto I. Penyakit Jantung Koroner dan Serangan Jantung. Jakarta:
Gramedia; 2004.

36.

Anwar T. Faktor risiko penyakit jantung koroner. Fakultas Kedokteran:
Universitas Sumatera Utara; 2004.

37.

Kusmana D. The influence of smoking cessation, regular physical exercise
and/or physical activity on survival : A 13 years cohort study of the
Indonesia population in Jakarta. The Journal of Biological Chemistry.
2001;27:25612-20.

38.

Chiolero A, Faeh D, Paccaud F, Cornuz J. Consequences of smoking for
body weight, body fat distribution, and insulin resistance. Am J Clin Nutr.
2008;87:801-9.

39.

Almatsier S. Prinsip Dasar Ilmu Gizi. Jakarta: PT. Gramedia Pustaka
Utama; 2005.

40.

Dariyo A. Psikologi Perkembangan Remaja. Bogor: Ghalia Indonesia;
2004.

41.

Vaya A, Rivera L, Hernandez-Mijares A, Bautista D, Solá E, Romagnoli M
et al. Association of metabolic syndrome and its components with
hyperuricemia in a Mediterranean population. Clinical hemorheology and
microcirculation. 2014.

42.

Paek Y-J, Jung K-S, Hwang Y-I, Lee K-S, Lee DR, Lee J-U. Association
between low pulmonary function and metabolic risk factors in Korean
adults: the Korean National Health and Nutrition Survey. Metabolism
Clinical and Experimental. 2010;59:1300-6.

43.

Fantuzzi G. Adipose tissue, adipokines, and inflammation. J Allergy Clin
Immunol. 2005;115:911-9.

49

44.

Wright B. A miniature wright peak-flow meter. Br Med J. 1978;2:1627-8.

45.

Santosa S, Purwito J, Widjaja J. Perbandingan Nilai Arus Puncak Ekspirasi
Antara Perokok dan Bukan Perokok. 2004.

46.

Mini-Wright white (standard range) Wright-McKerrow scale [internet].
2004[cited 2015 Jan 13]. Available from:
http://www.peakflow.com/top_nav/meter/index.html.

47.

Gregg NA. EU scale peak flow meters Br Med J. 1989;298:1067-70.

48.

Predictive normal values (nomogram, EU scale) [Internet]. 2004 [cited 2015
Jan 13]. Available from:
http://www.peakflow.com/top_nav/narmal_values/.

49.

Yunus F. Aplikasi Klinik Pada Volume Paru. Dalam: PIPKRA (Pertemuan
Ilmiah Pulmunologi dan Kedokteran Respirasi) Workshop Faal Paru. PDPI.
Jakarta. 2003:10-15.

50.

Kresnanda KC. Hubungan Kekuatan Otot Dada dengan Arus Puncak
Ekspirasi pada Pasien Asma Usia Dewasa. Fakultas Kedokteran. Semarang:
Universitas Diponegoro; 2014.

51.

Alsagaff H. Nilai Normal Faal Paru Orang Indonesia pada Usia Sekolah dan
Pekerja Dewasa Berdasarkan Rekomendasi Thoracic Society (ATS) 1987.
Surabaya: Airlanga University Press; 2004:9-15.

52.

Fielder H, Lyons R, Heaven M, Morgan H, Govier P, Hooper M. Effect of
environment tobacco smoke on peak flow variability. Arch Dis Child.
1999;80:253-6.

53.

Neas L, Dockery D, Burge H, Koutrakis P, Speizer F. Fungus spores, air
pollutans, and other determinants of peak expiratory flow rate in children.
Am J Epidemiol. 1996;143:797-807.

54.

Neas L, Morgan W. The assosiation of ambient air pollution with twice
daily peak expiratory flow rate measurement in children Am J Epidemiol
1995;141:111-22.

55.

Knudson R, Mead J, Knudson D. Contribution of airway collapse to
supramaximal expiratory flows. J Appl Physiol. 1974;36:653-67.

50

56.

Tammeling G, Berg W, Sluiter H. Estimation of the extrathoracic collapse
of the intrathoracic airways: a comparative study of the value of the value
of forced expiragrams and flow curve in health and in obstructive lung
disease. Am Rev Respir Dis. 1969;93:238-50.

57.

Ford ES, Maynard LM, Li C. Trends in Mean Waist Circumference and
Abdominal Obesity Among US Adults, 1999-2012. The Journal of the
American Medical Assosiation. 2014;312:1151-53.

58.

Janghorbani M, Amini M, Willett WC, Mehdi Gouya M, Delavari A,
Alikhani S , et al. First Nationwide Survey of Prevalence of Overweight,
Underweight, and Abdominal Obesity in Iranian Adults. obesity journal.
2007;15.

59.

Pujiati S. Prevalensi dan Faktor Risiko Obesitas Sentral Pada Penduduk
Dewasa Kota dan Kabupaten Indonesia tahun 2007. Fakultas Kesehatan
Masyarakat. Depok: Universitas Indonesia; 2010.

60.

Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, et al. Effect
of potentially modifiable risk factors associated with myocardial infarction
in 52 countries (the INTERHEART study): case-control study. Interheart
Study Investigators. 2004;364:937-52.

61.

Razay G, Vreugdenhil A, Wilcock G. Obesity, abdominal obesity and
Alzheimer disease. Dementia and Geriatric Cognitive Disorders.
2006;22:173-6.

62.

Anjana M, Sandeep S, Deepa R, Vimaleswaran K, Farooq S, Mohan V.
Visceral and Central Abdominal Fat and Anthropometry in Relation to
Diabetes in Asian Indians. Diabetes Care. 2004;27:2948.

63.

Lin W, Yao C, Wang H, Huang K. Impaired lung function is associated with
obesity and metabolic syndrome in adults. obesity journal. 2006;14:1654.

64.

Katchunga PB, Hermans M, Bamuleke BA, Katoto PC, Kabinda JM.
Relationship between waist circumference, visceral fat and metabolic
syndrome in a Congolese community: further research is still to be
undertaken. Pan Afr Med J. 2013;14.

51

65.

Seo JA, Kim BG, Cho H, Kim HS, Park J, Baik SH, et al. The cutoff values
of visceral fat area and waist circumference for identifying subjects at risk
for metabolic syndrome in elderly Korean: Ansan Geriatric (AGE) cohort
study. BMC Public Health. 2009;9.

66.

Festa A, D'Agostino R, Howard J, Mykkanen L, Tracy R, Haffner. Chronic
subclinical inflammation as part of the insulin resistance syndrome. the
Insulin Resitance Atherosclerosis Study (IRAS), Circulation. 2000;102:427.

67.

Valsamakis G, Chetty R, McTernan P, Al-Daghri N, A B, Kumar S. Fasting
serum adiponectin concentration is reduced in Indo-Asian subject and is
related to HDL Cholesterol. Diabetes Obes Metab. 2003;5:131-5.

68.

Chen W-L, Wang C-C, Wu L-W, Tung-Wei K, James Yi-Hsin, Chan Y, et
al. Relationship between Lung Function and Metabolic Syndrome. NCBI
journal. 2014;9.

69.

Koo H, Kim D, Chung H, Lee C. Association between metabolic syndrome
and rate of lung function decline: a longitudinal analysis. Int J Tuberc Lung.
Dis 2013;17:1507-14.

70.

Paek Y-J, Jung K-S, Hwang Y-I, Lee K-S, Lee DR, Lee J-U. Association
between low pulmonary function and metabolic risk factors in Korean
adults: the Korean National Health and Nutrition Survey. Metabolism
Clinical and Experimental. 2010;58:1300-6.

71.

Yeh F, Dixon AE, Marion S, Schaefer C, Zhang Y, Best LG, et al. Obesity
in Adults Is Associated With Reduced Lung Function in Metabolic
Syndrome and Diabetes. Diabetes Care. 2011;34:2306-13.

LAMPIRAN

Lampiran 1. Ethical clearance

52

53

Lampiran 2. Informed consent
PERSETUJUAN SETELAH PENJELASAN
(INFORMED CONSENT)
Selamat pagi/siang/sore, Ibu/Bapak. Kami adalah mahasiswa Fakultas
Kedokteran Universitas Diponegoro yang sedang mengadakan penelitian tentang
gangguan metabolik. Penelitian ini bertujuan untuk mengetahui hubungan lingkar
pinggang dengan arus puncak pengeluaran napas pada masyarakat dengan
gangguan metabolik. Kami membutuhkan ketersediaan Ibu/Bapak untuk
melakukan beberapa tes: Harvard step test (tes naik turun bangku), tes kekuatan
genggaman tangan, arus puncak pengeluaran napas, dan laboratorium darah sebagai
sampel penelitian yang akan kami periksa serta menjawab beberapa pertanyaan
yang berhubungan dengan penelitian kami. Manfaat dari penelitian ini adalah
Ibu/Bapak akan mendapatkan pemeriksaan laboratorium darah yang meliputi asam
urat, gula darah puasa dan kolesterol tanpa dipungut biaya apapun. Selain itu,
Bapak/Ibu juga akan mendapatkan penyuluhan tentang pencegahan faktor-faktor
yang dapat menyebabkan gangguan metabolik.
Kami menjamin bahwa penelitian ini tidak akan menimbulkan efek yang
merugikan pada Bapak/Ibu. Penelitian yang kami lakukan ini bersifat sukarela dan
tidak ada unsur paksaan. Dalam penelitian ini, kami menjamin kerahasiaan segala
data yang kami peroleh, data hanya akan kami gunakan untuk kepentingan
penelitian. Penanggung jawab penelitian ini adalah dr. Bahrudin, M.Si.Med, Ph.D,
dosen Bagian Anatomi FK Undip. Alamat kantor: Jl. Prof. Dr. Soedarto,
Tembalang, Semarang, nomor HP 081228000876.
Demikian penjelasan dari kami. Terima kasih atas kerja sama Bapak/Ibu
dalam penelitian ini.

Setelah mendengar dan memahami penjelasan penelitian, dengan ini saya
menyatakan
SETUJU / TIDAK SETUJU
untuk menjadi subjek penelitian.
Semarang, ……………………. 2015
Saksi
Nama Terang

Nama Terang

Alamat:

Alamat:

54

Lampiran 3. Identitas Subjek Penelitian

IDENTITAS SUBJEK PENELITIAN
“FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP SINDROM
METABOLIK”
I.

II.

IDENTITAS
1. Nama

:

2. Tempat, tanggal lahir

:

3. Jenis kelamin

:

4. Alamat

:

RT/RW

:

Kelurahan

:

Kecamatan

:

5. No. telepon/HP

:

6. Pendidikan
( ) Tidak sekolah
( ) Tidak tamat
SD/sederajat
( ) Tamat SD/sederajat
7. Pekerjaan
( ) Tidak bekerja
( ) Petani
( ) Wiraswasta

:

Usia:

tahun.

( ) Tamat SMP/sederajat
( ) Tamat SMA/sederajat
( ) Tamat perguruan tinggi/sederajat
:
( ) PNS
( ) Lain-lain, sebutkan ...........

Riwayat Penyakit
1. Riwayat DM

:

Ya
Tidak
Tidak tahu
Jika Ya: . . . . tahun, terkontrol/tidak
terkontrol

55

2. Riwayat Hipertensi

:

Ya
Tidak
Tidak tahu
Jika Ya: . . . . tahun, terkontrol/tidak
terkontrol

3. Riwayat Kolestrol tinggi : Ya
Tidak
(Dislipidemia)
Tidak tahu
Jika Ya: . . . . tahun, terkontrol/tidak
terkontrol
4. Riwayat Stroke

:

Ya
Tidak
Tidak tahu
Jika Ya: . . . . tahun, terkontrol/tidak
terkontrol

5. Riwayat Merokok

: ( ) Tidak pernah
( ) Pernah, sudah berhenti sejak …..
bulan yang lalu
( ) Merokok aktif ……… batang/hari

6. Riwayat Keluarga

: -

7. Riwayat Obat-obatan
II.

Siapa dari keluarga Bapak/Ibu yang
menurunkan penyakit tersebut?
Sejak umur berapa Bapak/Ibu
mengidap penyakit tersebut?

:

PEMERIKSAAN
1. Tekanan Darah (mmHg)

:

2. Tinggi Badan (cm)

:

3. Berat Badan (kg)

:

4. Lingkar Pinggang (cm)

:

S:
x/menit

D:

mmHg.

HR:

56

Lampiran 4. Pemeriksaan fisik subjek penelitian

PEMERIKSAAN FISIK SUBJEK PENELITIAN
“FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP SINDROM
METABOLIK”



Kepala

: Konjungtiva anemis
Sklera ikterik

( )
( )

Lain-lain......................................................................


Leher

: JVP.......................................................................................



Dada

: Jantung (Bunyi jantung): ....................................................
................................................................................................
Paru: ...................................................................................



Abdomen

: ..............................................................................................



Ekstremitas

: ..............................................................................................

Rekomendasi

:

1. Peak flow meter
2. Hand Grip Dynamometer
3. Harvard Step Test

Ya

Tidak

( )
( )
( )

( )
( )
( )

Semarang, 18 Januari 2015

(………………………………………)
Dokter

57

Lampiran 5. Hasil analisis statistik

Tests Of Normality
Kolmogorov-Smirnova
Statisti
c
Umur (tahun)
Tinggi Badan (cm)
Berat Badan (kg)
GDP (mg/dL)
HDL (mg/dL)
TG (mg/dL)
IMT (kg/m2)
Tekanan Sistolik (mmHg)
Tekanan Diastolik
(mmHg)

df

.107
.072
.119
.258
.125
.143
.097
.129
.144

30
30
30
30
30
30
30
30
30

Sig.

Shapiro-Wilk
Statistic

.200*
.200*
.200*
.000
.200*
.121
.200*
.200*
.115

df

.974
.987
.955
.718
.956
.939
.984
.961
.962

Sig.
30
30
30
30
30
30
30
30
30

*. This Is A Lower Bound Of The True Significance.
A. Lilliefors Significance Correction

Descriptive Statistics
N
Umur (tahun)
Valid N (listwise)

Minimum Maximum
30
30

41

76

Mean
56.93

Std.
Deviation
8.233

Descriptive Statistics
N
Tinggi Badan (cm)
Berat Badan (kg)
IMT (kg/m2)
Valid N (Listwise)

30
30
30
30

Minimum Maximum
137.0
41.0
18.7

173.0
80.0
34.6

Mean
154.323
65.183
27.365

Std.
Deviation
8.4734
9.2861
3.3284

.657
.964
.236
.000
.250
.087
.926
.328
.346

58

Descriptive Statistics
N

Minimum Maximum

Tekanan Sistolik (mmHg)
Tekanan Diastolik (mmHg)
HDL (mg/dL)
TG (mg/dL)
Valid N (Listwise)

30
30
30
30
30

124
60
29
62

218
125
61
350

Mean

Std.
Deviation

161.43
88.17
41.70
161.23

22.538
13.249
7.340
67.108

Statistics
GDP (mg/dL)
Valid

N

30

Missing

0
102.50

Median

Jenis Kelamin
Frequency
Perempuan
Valid Laki-Laki
Total

Percent

Valid Percent

Cumulative Percent

22

73.3

73.3

73.3

8

26.7

26.7

100.0

30

100.0

100.0

Status Gizi
Frequency

Percent

Valid Percent

Cumulative
Percent

Normal

2

6.7

6.7

6.7

Berat Badan Lebih

5

16.7

16.7

23.3

17

56.7

56.7

80.0

6

20.0

20.0

100.0

30

100.0

100.0

Percent Valid Percent

Cumulative
Percent

Valid Obestas 1
Obesitas Ii
Total

Riwayat Merokok
Frequency
Tidak
Valid Ya
Total

28

93,3

93,3

93,3

2

6,7

6,7

100,0

30

100,0

100,0

59

Kategori Tekanan Darah Sistolik
Frequency
Prehipertensi
Valid

Percent

Valid Percent

Cumulative
Percent

5

16,7

16,7

16,7

Hipertensi derajat 1

12

40,0

40,0

56,7

Hipertensi Derajat 2

13

43,3

43,3

100,0

Total

30

100,0

100,0

Kategori Tekanan Darah Diastolik
Frequency

Percent

Valid Percent

Cumulative
Percent

Normal

7

23,3

23,3

23,3

Prehipertensi

9

30,0

30,0

53,3

Valid Hipertensi derajat 1

10

33,3

33,3

86,7

Hipertensi derajat 2

4

13,3

13,3

100,0

30

100,0

100,0

Total

Kategori Lingkar Pinggang
Frequency
NORMAL

Percent

Valid Percent

Cumulative
Percent

2

6,7

6,7

6,7

MENINGKAT

14

46,7

46,7

53,3

Valid MENINGKAT
TAJAM

14

46,7

46,7

100,0

30

100,0

100,0

Total

Kategori Gula Darah Puasa
Frequency
Normal
Valid Meningkat
Total

Percent

Valid Percent

Cumulative
Percent

19

63,3

63,3

63,3

11

36,7

36,7

100,0

30

100,0

100,0

60

Kategori HDL
Frequency

Percent

Valid Percent

Cumulative
Percent

Normal

6

20,0

20,0

20,0

Valid Rendah

24

80,0

80,0

100,0

30

100,0

100,0

Total

Kategori Trigliserida
Frequency
Normal
Valid Meningkat
Total

Percent

Valid Percent

Cumulative
Percent

15

50,0

50,0

50,0

15

50,0

50,0

100,0

30

100,0

100,0

Tests Of Normality
Kolmogorov-Smirnova
Statistic
Arus Puncak Ekspirasi
(L/menit)
Lingkar Pinggang (cm)

df

Shapiro-Wilk

Sig.

Statistic

df

Sig.

,080

30

,200*

,974

30

,643

,130

30

,200*

,962

30

,349

*. This is a lower bound of the true significance.
A. Lilliefors significance correction
Descriptive Statistics
N
Arus Puncak Ekspirasi (L/Menit)
Valid N (Listwise)

Minimum Maximum
30
30

180

570

Mean

Std.
Deviation

352.67

101.572

Descriptive Statistics
N
Lingkar Pinggang (cm)
Valid N (Listwise)

Minimum Maximum
30
30

74

112

Mean
91.33

Std.
Deviation
7.617

61

6,66%
2
Normal
46,67%
14

Meningkat

46,67%
14

Meningkat tajam

Kategori APE
Frequency
Normal

Percent

Valid Percent

Cumulative
Percent

13

43.3

43.3

43.3

Valid Tidak Normal

17

56.7

56.7

100.0

Total

30

100.0

100.0

62

56,7%
17

43,3%
13

Normal
Tidak Normal

63

Correlations
Arus Puncak
Ekspirasi
(L/menit)
Arus Puncak Ekspirasi
(L/menit)

Pearson Correlation

1

-.420*

Sig. (2-tailed)

.021

N
Pearson Correlation
Lingkar Pinggang (cm)

Lingkar
Pinggang (cm)

30
-.420*

Sig. (2-tailed)

30
1

.021

N

30

30

*. Correlation is significant at the 0.05 level (2-tailed).

Kategori Lingkar Pinggang * KAT_APE Crosstabulation
Kategori APE
Normal

Normal

2

0

2

Expected Count

,9

1,1

2,0

100,0%

0,0%

100,0%

8

6

14

6,1

7,9

14,0

57,1%

42,9%

100,0%

3

11

14

6,1

7,9

14,0

21,4%

78,6%

100,0%

13

17

30

13,0

17,0

30,0

43,3%

56,7%

100,0%

Count
Meningkat

Expected Count
% within
Kategori LP
Count

Meningkat Tajam

Total

Tidak Normal

Count
% within
Kategori LP
Kategori Lingkar
Pinggang

Total

Expected Count
% within
Kategori LP
Count
Expected Count
% within
Kategori LP

64

Chi-Square Tests
Value

Pearson Chi-Square
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

a

6,438
7,384
5,956
6,200c

df

Asymp.
Sig. (2sided)
2
2

,040
,025

1

,013

Monte Carlo Sig. (2-sided)
Sig.

95% Confidence Interval
Lower Bound Upper Bound
b

,027
,027b
,027b
,014b

,024
,024
,024
,011

,030
,030
,030
,016

30

a. 2 cells (33,3%) have expected count less than 5. The minimum expected count is ,87.
b. Based on 10000 sampled tables with starting seed 2000000.
c. The standardized statistic is 2,490.

65

Correlations
Kat APE Umur (tahun)

Kat APE

Correlation
Coefficient

1.000

.436*

.

.016

30

30

.436*

1.000

.016

.

30

30

Sig. (2-tailed)
N

Spearman's rho

Correlation
Coefficient
Umur (tahun)

Sig. (2-tailed)
N

*. Correlation is significant at the 0.05 level (2-tailed).

Correlations
Kat APE

Tinggi Badan
(cm)

1.000

.101

.

.595

30

30

Correlation
Coefficient

.101

1.000

Sig. (2-tailed)

.595

.

30

30

Correlation
Coefficient
Kat APE

Sig. (2-tailed)
N

Spearman's rho
Tinggi Badan (cm)

N

Chi-Square Tests Kat APE dengan Status Gizi
Value
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases

7.538a
8.569
6.840

df

Asymp. Sig.
(2-sided)
3
3
1

.057
.036
.009

30

a. 6 cells (75,0%) have expected count less than 5. The minimum
expected count is ,87.

66

Chi-Square Tests Kat APE dengan JK
Value
Pearson Chi-Square
Continuity Correctionb
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

df

1.493a
.649
1.558

Asymp. Sig.
(2-sided)
1
1
1

1.443

1

Exact Sig. (2sided)

Exact Sig. (1sided)

.407

.212

.222
.421
.212
.230

30

a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is 3,47.
b. Computed only for a 2x2 table
Correlations
Arus Puncak
Ekspirasi
(L/menit)
Pearson Correlation

Berat Badan
(kg)

1

Arus Puncak Ekspirasi
(L/menit)

Sig. (2-tailed)
N
Pearson Correlation

30
.052

Berat Badan (kg)

Sig. (2-tailed)

.783

.052
.783

N

30
1

30

30

Chi-Square Tests Kat APE dengan Riwayat Merokok
Value
Pearson Chi-Square
Continuity Correctionb
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases

2.802a
.875
3.533
2.709

df

Asymp. Sig.
(2-sided)
1
1
1
1

Exact Sig. (2sided)

Exact Sig. (1sided)

.179

.179

.094
.350
.060
.100

30

a. 2 cells (50,0%) have expected count less than 5. The minimum expected count is ,87.
b. Computed only for a 2x2 table

67

Correlations
Arus Puncak
Ekspirasi
(L/menit)
Pearson Correlation

Berat Badan
(kg)

1

Arus Puncak Ekspirasi
(L/menit)

Sig. (2-tailed)
N
Pearson Correlation

30
.052

Berat Badan (kg)

Sig. (2-tailed)

.783

.052
.783

N

30
1

30

30

Variables in the Equation
B

Step 1a

S.E.

Wald

df

Sig.

Exp(
B)

95% C.I.for EXP(B)
Lower

Upper

Umur

.118

.083

2.018

1

.155 1.126

.956

1.325

Kat LP

.419

.179

5.474

1

.019 1.521

1.070

2.160

-44.164

17.192

6.599

1

.010

Constant

a. Variable(s) entered on step 1: Umur, Kat LP.

.000

68

Lampiran 6. Dokumentasi penelitian

Gambar 11. Pendataan sampel penelitian

69

Gambar 12. Pengambilan data berat badan, tinggi badan dan lingkar pinggang

Gambar 13. Pengambilan data APE

70

Lampiran 7. Biodata mahasiswa

Identitas
Nama

: Ihwanu Sholeh

NIM

: 22010111130087

Tempat Lahir : Cirebon
Tanggal Lahir : 2 Juli 1991
Jenis Kelamin : Laki-laki
Alamat

: Jl. Yudhistira No. 43 Desa Karangasem, Plumbon, Cirebon

Nomor HP

: 08977261640

Email

: ih_one02@yahoo.com

Riwayat Pendidikan Formal
1.

SD

: SD Negeri 1 Karangasem

Lulus tahun : 2003

2.

SMP

: SMP Negeri 1 Plumbon

Lulus tahun : 2006

3.

SMA

: SMA Negeri 1 Cirebon

Lulus tahun : 2009

4.

S1

: Pendidikan Dokter Fakultas Kedokteran
Universitas Diponegoro

Masuk tahun : 2011

Keanggotaan Organisasi
1.

HIMA KU Universitas Diponegoro Tahun 2011-2013

2.

ROHIS Fakultas Kedokteran Universitas Diponegoro Tahun 2011-2013