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.
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.
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.
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.
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.
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.
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.
52 LAMPIRAN
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
54
Lampiran 3. Identitas Subjek Penelitian
IDENTITAS SUBJEK PENELITIAN
“FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP SINDROM METABOLIK”
( ) Tamat perguruan tinggi/sederajat
7. Pekerjaan :
II. Riwayat Penyakit
1. Riwayat DM : Ya Tidak Tidak tahu
2. Riwayat Hipertensi : Ya Tidak Tidak tahu
Jika Ya: . . . . tahun, terkontrol/tidak terkontrol
3. Riwayat Kolestrol tinggi (Dislipidemia)
6. Riwayat Keluarga : - Siapa dari keluarga Bapak/Ibu yang menurunkan penyakit tersebut?
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
(………)
Lampiran 5. Hasil analisis statistik
*. This Is A Lower Bound Of The True Significance.
58
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
Frequency Percent Valid Percent Cumulative Percent
Valid
Tidak 28 93,3 93,3 93,3
Ya 2 6,7 6,7 100,0
Kategori Tekanan Darah Sistolik
Frequency Percent Valid Percent Cumulative Percent
Kategori Tekanan Darah Diastolik
Frequency Percent Valid Percent Cumulative Percent
Frequency Percent Valid Percent Cumulative Percent
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
60
Kategori HDL
Frequency Percent Valid Percent Cumulative Percent
Frequency Percent Valid Percent Cumulative Percent
*. This is a lower bound of the true significance. A. Lilliefors significance correction
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
62
43,3% 13 56,7%
17 Normal
Correlations
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
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.
Correlations
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
Chi-Square Tests Kat APE dengan Status Gizi
Value df Asymp. Sig.
66
Chi-Square Tests Kat APE dengan JK
Value df Asymp. Sig.
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
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.
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
68
Lampiran 6. Dokumentasi penelitian
Gambar 12. Pengambilan data berat badan, tinggi badan dan lingkar pinggang
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 : [email protected]
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