45

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.

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;102:42-

7.

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.

52

LAMPIRAN

Lampiran 1. Ethical clearance

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. IDENTITAS

1. Nama :

2. Tempat, tanggal lahir : Usia: tahun.

3. Jenis kelamin :

4. Alamat :

RT/RW :

Kelurahan :

Kecamatan :

5. No. telepon/HP :

6. Pendidikan :

( ) Tidak sekolah

( ) Tidak tamat

SD/sederajat

( ) Tamat SD/sederajat

( ) Tamat SMP/sederajat

( ) Tamat SMA/sederajat

( ) Tamat perguruan tinggi/sederajat

7. Pekerjaan :

( ) Tidak bekerja

( ) Petani

( ) Wiraswasta

( ) PNS

( ) Lain-lain, sebutkan ...........

II. 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

(Dislipidemia)

: Ya Tidak

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 : - Siapa dari keluarga Bapak/Ibu yang

menurunkan penyakit tersebut?

- Sejak umur berapa Bapak/Ibu

mengidap penyakit tersebut?

7. Riwayat Obat-obatan :

II. PEMERIKSAAN

1. Tekanan Darah (mmHg) : S: D: mmHg. HR:

x/menit

2. Tinggi Badan (cm) :

3. Berat Badan (kg) :

4. Lingkar Pinggang (cm) :

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 : Ya Tidak

1. Peak flow meter ( ) ( )

2. Hand Grip Dynamometer ( ) ( )

3. Harvard Step Test ( ) ( )

Semarang, 18 Januari 2015

(………………………………………)

Dokter

57

Lampiran 5. Hasil analisis statistik

Descriptive Statistics

N Minimum Maximum Mean Std.

Deviation

Umur (tahun) 30 41 76 56.93 8.233

Valid N (listwise) 30

Descriptive Statistics

N Minimum Maximum Mean Std.

Deviation

Tinggi Badan (cm) 30 137.0 173.0 154.323 8.4734

Berat Badan (kg) 30 41.0 80.0 65.183 9.2861

IMT (kg/m2) 30 18.7 34.6 27.365 3.3284

Valid N (Listwise) 30

Tests Of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statisti

c

df Sig. Statistic df Sig.

Umur (tahun) .107 30 .200* .974 30 .657

Tinggi Badan (cm) .072 30 .200* .987 30 .964

Berat Badan (kg) .119 30 .200* .955 30 .236

GDP (mg/dL) .258 30 .000 .718 30 .000

HDL (mg/dL) .125 30 .200* .956 30 .250

TG (mg/dL) .143 30 .121 .939 30 .087

IMT (kg/m2) .097 30 .200* .984 30 .926

Tekanan Sistolik (mmHg) .129 30 .200* .961 30 .328

Tekanan Diastolik

(mmHg)

.144 30 .115 .962 30 .346

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

A. Lilliefors Significance Correction

58

Descriptive Statistics

N Minimum Maximum Mean Std.

Deviation

Tekanan Sistolik (mmHg) 30 124 218 161.43 22.538

Tekanan Diastolik (mmHg) 30 60 125 88.17 13.249

HDL (mg/dL) 30 29 61 41.70 7.340

TG (mg/dL) 30 62 350 161.23 67.108

Valid N (Listwise) 30

Statistics

GDP (mg/dL)

N Valid 30

Missing 0

Median 102.50

Jenis Kelamin

Frequency Percent Valid Percent Cumulative Percent

Valid

Perempuan 22 73.3 73.3 73.3

Laki-Laki 8 26.7 26.7 100.0

Total 30 100.0 100.0

Status Gizi

Frequency Percent Valid Percent Cumulative

Percent

Valid

Normal 2 6.7 6.7 6.7

Berat Badan Lebih 5 16.7 16.7 23.3

Obestas 1 17 56.7 56.7 80.0

Obesitas Ii 6 20.0 20.0 100.0

Total 30 100.0 100.0

Riwayat Merokok

Frequency Percent Valid Percent Cumulative

Percent

Valid

Tidak 28 93,3 93,3 93,3

Ya 2 6,7 6,7 100,0

Total 30 100,0 100,0

59

Kategori Tekanan Darah Sistolik

Frequency Percent Valid Percent Cumulative

Percent

Valid

Prehipertensi 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

Valid

Normal 7 23,3 23,3 23,3

Prehipertensi 9 30,0 30,0 53,3

Hipertensi derajat 1 10 33,3 33,3 86,7

Hipertensi derajat 2 4 13,3 13,3 100,0

Total 30 100,0 100,0

Kategori Lingkar Pinggang

Frequency Percent Valid Percent Cumulative

Percent

Valid

NORMAL 2 6,7 6,7 6,7

MENINGKAT 14 46,7 46,7 53,3

MENINGKAT

TAJAM

14 46,7 46,7 100,0

Total 30 100,0 100,0

Kategori Gula Darah Puasa

Frequency Percent Valid Percent Cumulative

Percent

Valid

Normal 19 63,3 63,3 63,3

Meningkat 11 36,7 36,7 100,0

Total 30 100,0 100,0

60

Kategori HDL

Frequency Percent Valid Percent Cumulative

Percent

Valid

Normal 6 20,0 20,0 20,0

Rendah 24 80,0 80,0 100,0

Total 30 100,0 100,0

Kategori Trigliserida

Frequency Percent Valid Percent Cumulative

Percent

Valid

Normal 15 50,0 50,0 50,0

Meningkat 15 50,0 50,0 100,0

Total 30 100,0 100,0

Tests Of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Arus Puncak Ekspirasi

(L/menit)

,080 30 ,200* ,974 30 ,643

Lingkar Pinggang (cm) ,130 30 ,200* ,962 30 ,349

*. This is a lower bound of the true significance.

A. Lilliefors significance correction

Descriptive Statistics

N Minimum Maximum Mean Std.

Deviation

Arus Puncak Ekspirasi (L/Menit) 30 180 570 352.67 101.572

Valid N (Listwise) 30

Descriptive Statistics

N Minimum Maximum Mean Std.

Deviation

Lingkar Pinggang (cm) 30 74 112 91.33 7.617

Valid N (Listwise) 30

61

Kategori APE

Frequency Percent Valid Percent Cumulative

Percent

Valid

Normal 13 43.3 43.3 43.3

Tidak Normal 17 56.7 56.7 100.0

Total 30 100.0 100.0

6,66%

2

46,67%

14

46,67%

14

Normal

Meningkat

Meningkat tajam

62

43,3%

1356,7%

17 Normal

Tidak Normal

63

Correlations

Arus Puncak

Ekspirasi

(L/menit)

Lingkar

Pinggang (cm)

Arus Puncak Ekspirasi

(L/menit)

Pearson Correlation 1 -.420*

Sig. (2-tailed) .021

N 30 30

Lingkar Pinggang (cm)

Pearson Correlation -.420* 1

Sig. (2-tailed) .021

N 30 30

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

Kategori Lingkar Pinggang * KAT_APE Crosstabulation

Kategori APE Total

Normal Tidak Normal

Kategori Lingkar

Pinggang

Normal

Count 2 0 2

Expected Count ,9 1,1 2,0

% within

Kategori LP

100,0% 0,0% 100,0%

Meningkat

Count 8 6 14

Expected Count 6,1 7,9 14,0

% within

Kategori LP

57,1% 42,9% 100,0%

Meningkat Tajam

Count 3 11 14

Expected Count 6,1 7,9 14,0

% within

Kategori LP

21,4% 78,6% 100,0%

Total

Count 13 17 30

Expected Count 13,0 17,0 30,0

% within

Kategori LP

43,3% 56,7% 100,0%

64

Chi-Square Tests

Value df Asymp.

Sig. (2-

sided)

Monte Carlo Sig. (2-sided)

Sig. 95% Confidence Interval

Lower Bound Upper Bound

Pearson Chi-Square 6,438a 2 ,040 ,027b ,024 ,030

Likelihood Ratio 7,384 2 ,025 ,027b ,024 ,030

Fisher's Exact Test 5,956 ,027b ,024 ,030

Linear-by-Linear

Association

6,200c 1 ,013 ,014b ,011 ,016

N of Valid Cases 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)

Spearman's rho

Kat APE

Correlation

Coefficient

1.000 .436*

Sig. (2-tailed) . .016

N 30 30

Umur (tahun)

Correlation

Coefficient

.436* 1.000

Sig. (2-tailed) .016 .

N 30 30

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

Correlations

Kat APE Tinggi Badan

(cm)

Spearman's rho

Kat APE

Correlation

Coefficient

1.000 .101

Sig. (2-tailed) . .595

N 30 30

Tinggi Badan (cm)

Correlation

Coefficient

.101 1.000

Sig. (2-tailed) .595 .

N 30 30

Chi-Square Tests Kat APE dengan Status Gizi

Value df Asymp. Sig.

(2-sided)

Pearson Chi-Square 7.538a 3 .057

Likelihood Ratio 8.569 3 .036

Linear-by-Linear

Association

6.840 1 .009

N of Valid Cases 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 df Asymp. Sig.

(2-sided)

Exact Sig. (2-

sided)

Exact Sig. (1-

sided)

Pearson Chi-Square 1.493a 1 .222

Continuity Correctionb .649 1 .421

Likelihood Ratio 1.558 1 .212

Fisher's Exact Test .407 .212

Linear-by-Linear

Association

1.443 1 .230

N of Valid Cases 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)

Berat Badan

(kg)

Arus Puncak Ekspirasi

(L/menit)

Pearson Correlation 1 .052

Sig. (2-tailed) .783

N 30 30

Berat Badan (kg)

Pearson Correlation .052 1

Sig. (2-tailed) .783

N 30 30

Chi-Square Tests Kat APE dengan Riwayat Merokok

Value df Asymp. Sig.

(2-sided)

Exact Sig. (2-

sided)

Exact Sig. (1-

sided)

Pearson Chi-Square 2.802a 1 .094

Continuity Correctionb .875 1 .350

Likelihood Ratio 3.533 1 .060

Fisher's Exact Test .179 .179

Linear-by-Linear

Association

2.709 1 .100

N of Valid Cases 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)

Berat Badan

(kg)

Arus Puncak Ekspirasi

(L/menit)

Pearson Correlation 1 .052

Sig. (2-tailed) .783

N 30 30

Berat Badan (kg)

Pearson Correlation .052 1

Sig. (2-tailed) .783

N 30 30

Variables in the Equation

B S.E. Wald df Sig. Exp(

B)

95% C.I.for EXP(B)

Lower Upper

Step 1a

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

Constant -44.164 17.192 6.599 1 .010 .000

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

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