BAB V. KESIMPULAN DAN SARAN
B. Saran
1. Perlu dilakukan penelitian lanjutan dengan kelompok usia yang
berbeda dan dengan memperluas jumlah sampel yaitu di populasi masyarakat
Yogyakarta.
63
Daftar Pustaka
Adam, J.M.F., 2006,Obesitas dan Sindroma Metabolik, Bandung, pp. 1-8.
Alattar, A., Al-Majed, Hana, Almuaili, T., Almutairi, O., Shaghouli, A., Altorah, W., 2012, Prevalence of Impaired Glucose Regulation in Asymptomatic Kuwaiti Young Adults,Med Princ Pract 2012, 21, pp: 52-53.
Al-khazrajy, Lujain Anwar, Yosif Abdul Raheem, dan Yossra Khalaf Hanoon, 2010, Sex Differences in the Impact of Body Mass Index (BMI) and Waist/Hip (W/H) Ratio on Patients with Metabolic Risk Factors in Baghdad,Global Journal of Health Science, 2 (2), pp. 162.
Appel, S., Jones, E., dan Kennedy-Malone, L., 2004, Central Obesity and The Metabolic Syndrome: Implications for Primary Care Providers, Journal of the American Academy of Nurse Practitioners, 16(8), pp: 338.
Bringham and Women’s Hospital, 2012, Bigger Waist Tied to Increased Risk of Diabetes, A Teaching Affiliate of Harvard Medical School,
http://healthlibrary.brighamandwomens.org/RelatedItems/6,665409, diakses tanggal 12 Mei 2012.
Canadian Guidelines for Body Weight Classification in Adults, 2003, Health Canada Publications Centre, Canada, pp: 15
Cartier, Amelie, 2010, The Inflammatory Profile Associated with Abdominal Obesity,CMR journal, 3(2), pp: 15-16.
Chan, dkk., 2003, Waist Circumference, Waist-to-hip Ratio and Body Mass Index as Predictors of Adipose Tissue Compartments in Men, Q J Med 2003, 96, pp: 445.
Chehrei, A., Sadrnia, S., Keshteli, A., Daneshmand, A., Rezaei, J., 2007, Correlation of Dyslipidemia with Waist to Height Ratio, Waist Circumference, and Body Mass Index in Iranian Adults, Asia Pac J Clin Nutr 2007; 16 (2), pp: 250.
Chukwunonso, E., Ifeoma, I., 2012, Obesity in Young-adult Nigerians: Variations in Prevalence Determined by Anthropometry and Bioelectrical Impedance Analysis, and The Development of % Body Fat Prediction Equations,
International Archives of Medicine, 5 (22), pp: 1.
Cogill, B., 2003, Anthropometric Indicators Measurement Guide, Food and Nutrition Technical Assistance Project, Washington, D.C., pp. 9, 72-73.
Dahlan, M. Sopiyudin, 2012, Statistik untuk Kedokteran dan Kesehatan, Deskriptif, Bivariat, dan Multivariat Dilengkapi Aplikasi dengan Menggunakan SPSS, Edisi 5, Salemba Medika, Jakarta, pp: 62-75, 170-175
Dalton, M., Cameron, A.J., Zimmet, P.Z., Shaw, J.E., Jolley, D., Dunstan, D.W.,
et al., 2003, Waist Circumference, Waist-Hip Ratio and Body Mass Index and Their Correlation With Cardiovascular Disease Risk Factors in Australian Adults,Journal of Internal Medicine, 254, 556, 560.
Departemen Kesehatan Republik Indonesia, 2008, Pedoman Pengendalian Diabetes Melitus dan Penyakit Metabolik, Direktorat Pengendalian Penyakit Tidak Menular, Direktorat Jenderal Pengendalian Penyakit dan Penyehatan Lingkungan, pp: 13.
Despres, J., Lemieux, I., 2006, Abdominal Obesity and Metabolic Syndrome,
Nature, 444, pp: 881-882.
Dev, Nirmitha and Sara Rani Marcus, 2012, High Sensitive C-reactive Protein, An Independent and Early Novel Inflammatory Marker in Healthy Obese Women,Biomedical Research 2012; 23 (1), pp: 75-76.
Direktorat Bina Pelayanan Penunjang Medik, 2011, Uji Fungsi Alat Kimia Klinis dan Hematologi, Departemen Kesehatan Republik Indonesia, Jakarta, pp. 2.
Dobbelsteyn, dkk., 2001, A Comparative Evaluation of Waist Circumference, Waist-to-Hip Ratio and Body Mass Index as Indicators of Cardiovascular Risk Factors, The Canadian Heart Health Survey, International Journal of Obesity,25(5), pp. 652-661.
Dugdale, 2011, Glucose Test-Blood,
http://www.nlm.nih.gov/medlineplus/ency/article/003482.htm, U.S National Library of Medicine, NIH, diakses tanggal 10 Mei 2012.
Edmundson, Ann, 2012, Type 2 Diabetes Risk Factors,
http://diabetes.webmd.com/guide/risk-diabetes, diakses tanggal 7 Desember 2012.
Ehtisham, S., Hattersley, A.T., Dunger, D.B., Barrett, T.G., 2004, First UK Survey of Paediatric Type 2 Diabetes and MODY, Arch Dis Child, 89, pp: 526-527.
Eid, W.E, 2011, Obesity and Type 2 Diabetes Mellitus in South Dakota: Focused Insight Into Prevalence, Physiology and Treatment, South Dakota Medicine, pp: 69.
El Hafez, F., Hadhoud, K., Saad, M., Salem, H., 2011, Waist Circumference in Metabolic Syndrome in The Egyption Population, Journal of American Science, 7 (12), pp: 1261.
Esmaillzadeh, A., Mirmiran, P., Azizi, F., 2004, Waist-to-hip Ratio is a Better Screening Measure for Cardiovascular Risk Factors than Other Anthropometric Indicators in Tehranian Adult Men, International Journal of Obesity, 28, pp. 1328.
Garber AJ, Handelsman Y, Einhorn D, Bergman DA, Bloomgarden Z, Fonseca V, et al., 2008, Diagnosis and Management of Prediabetes in the Continuum of Hyperglycemia—When Do the Risks of Diabetes Begin? A Consensus Statement from the American College of Endocrinology and the American Association of Clinical Endocrinologists,Endocr Pract.,14(7), pp: 933-46.
Graham, Elizabeth, 2011, The Prevalence of Impaired Type 2 Fasting Blood Glucose Concentrations among College-aged Individuals, Thesis, 33, Georgia Southern University, Georgia.
Gupta, R., Rastogi, P., Sarna, M., Gupta, VP., Sharma, SK., Kothari, K., 2007, Body-Mass Index, Waist-Size, Waist-Hip Ratio and Cardiovascular Risk Factors in Urban Subjects, J Assoc Physicians India 2007; 55, pp: 623-625.
Hollmann, M., Runnebaum, B., & Gerhard, I.,1997, Impact of waist–hip-ratio and body-mass-index on hormonal and metabolic parameters in young, obese women,International Journal of Obesity, 21, pp. 476–483.
Humayun, Anjum, Shah, Arbab Sher, 2010, Comparison of Body Mass Index and Waist Circumference in Predicting Incident Diabetes, Pak J Physiol 2010, 6(1), pp.48.
Hussain, A., Hydrie, M.Z.I., Clausen, B., Asghar, S., 2011, Type 2 Diabetes and Obesity: A Review, Journal of Diabetology 2010; 2, pp 1-4.
Huxley, R., Mendis, S., Zheleznyakov, E., Reddy, S., dan Chan, J., 2010, Body Mass Index, Waist Circumference and Waist:Hip Ratio as Predictors of Cardiovascular Risk – A Review of the Literature, European Journal of Clinical Nutrition, 64, 16-20.
Hwang, M., Chung, W., Gallagher, D., Kim, D., Shin, H., Song, M., 2008, How Useful is Waist Circumference for Assessment of Abdominal Obesity in Korean Pre-menopausal Women during Weight-loss?, Asia Pac J Clin Nutr, 17(2), pp: 232.
International Chair on Cardiometabolic Risk, 2011,WHR, Health Risk, and Intra-abdominal Fat, http://www.myhealthywaist.org/evaluating-cmr/clinical-tools/waist-to-hip-ratio/page/2/index.html#EbookPage, diakses tanggal 10 Mei 2012.
International Diabetes Federation, 2006, Metabolic Syndrome, The IDF Consensus Worldwide Definition of The Metabolic Syndrome, Belgium, pp. 10.
ISPAD guidelines, 2012, Making a Diagnosis of Monogenic Diabetes,
http://www.diabetesgenes.org/content/making-diagnosis-mody, diakses tanggal 13 Januari 2013.
Jenkins, G., 2011, Health Tools : Waist-to-Hip Ratio,
http://www.bbc.co.uk/health/tools/hip_to_waist/hip_to_waist.shtml, diakses tanggal 9 Mei, 2012.
Kato, M., Takahaski, Y., Inoue, M., Tsugane, S., Kadowaki, T., Noda, M., 2008, Comparisons between Anthropometric Indices for Predicting The Metabolic Syndrome in Japanese, Asia Pac J Clin Nutr, 17(2), pp: 226.
Katzmarzyk, P., Janssen, I., Ross, R., Church, T., Blair, S., 2006, The Importance of Waist Circumference in The Definition of Metabolic Syndrome,
Diabetes Care, 29 (2), pp: 407.
Klein, S., Allison, D., Heymsfield, S., Kelley, D., Leibel, R., Nonas, C., et al., 2007, Waist Circumference and Cardiometabolic Risk: A Consensus
Statement from Shaping America’s Health: Association for Weight
Management and Obesity Prevention; NAASO, The Obesity Society; The American Society for Nutrition; and The American Diabetes Association,AM J Clin Nutr 2007; 85, pp: 1199.
de Koning, L., Merchant, A.T., Pogue, J., dan Anand, S.S., 2007, Waist Circumference and Waist-to-Hip Ratio As Predictors of Cardiovascular Events: Meta-Regression Analysis of Prospective Studies, European Heart Journal, 28, 850-854.
Kopelman P., 2000, Obesity as a medical problem,Nature,404, 2000, pp. 636.
Lee, M., Wu, Y., Fried, S., 2012, Adipose Tissue Heterogeneity: Implication of Depot Differences in Adipose Tissue for Obesity Complications, Review, Elsevier, United States.
Lipoeto, N.I., Yerizel, E., Edward, E.Y.Z., dan Widuri, I., 2007, Hubungan Antara Nilai Antropometri dengan Kadar Glukosa Darah, Skripsi, 7-11, Fakultas Kedokteran Universitas Andalas, Sumatra Barat.
Liu, Y., Tong, G., Tong, W., Lu, L., dan Qin, X., 2011, Can Body Mass Index, Waist Circumference, Waist-Hip Ratio and Waist-Height Ratio Predict The Presence of Multiple Metabolic Risk Factors in Chinese Subjects?, BMC Public Health, 11, 1-5.
Look For Diagnosis, 2009, Abdominal Fat (Adipose Tissue, Abdominal),
http://www.lookfordiagnosis.com/mesh_info.php?term=Abdominal+Fat&la ng=1, diakses tanggal 25 Desember 2012.
Marjani, Abdoljalal, Waist Circumference, Body Mass Index, Hip Circumference and Waist-To-Hip Ratio in Type 2 Diabetes Patients in Gorgan, Iran, ,
Journal of Clinical and Diagnostic Research, 5(2), pp. 202.
Massage, L., 2006, The Metabolic Syndrome, Body Metabolism Institute,
Australia, pp: 1.
McKinley Health Center, 2006, Waist Circumference, University of Illinois at Urbana-Champaign, pp.1.
Mukhopadhyay, Ashish, Bhadra, Mithu, and Bose, Kaushik, 2005, Human Obesity : A Major Health Burden, Human Ecology Special Issues, 13, pp. 2.
National Cholesterol Education Program (NCEP), 2002, Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), Final Report,NIH, pp: 27.
National Health and Nutrition Examination Survey, 2007, Anthropometry Procedures Manual, CDC, USA, pp. 1-1–1-3.
National Heart, Lung, and Blood Institute Obesity Education Initiative, 2000, The Practical Guide: Identification, Evaluation, and Treatment of Overweight and Obesity in Adults, National Institutes of Health, USA, pp. 9, 13.
National Health Survey Data, 2008, Trends in Weight Gain by Age, Obesity in Australia, pp: 10.
National Institutes of Health, 2012, Glucose test-blood, 2012, Medline Plus, A Service of The U.S. National Library of Medicine,
http://www.nlm.nih.gov/medlineplus/ency/article/003482.htm, diakses tanggal 1 November 2012.
National Obesity Forum, 2006, Waist Circumference,
http://www.nationalobesityforum.org.uk/healthcare-professionals-mainmenu-155/assessment-mainmenu-168/171-waist-circumference.html, diakses tanggal 10 November 2012.
NHLBI, 2012,According to Waist Circumference, Guidelines on Overweight and Obesity: Electronic Textbook, http://www.nhlbi.nih.gov/guidelines/
obesity/e_txtbk/txgd/4142.htm, diakses tanggal 1 November 2012.
Notoatmodjo, S., 2002, Metodologi Penelitian Kesehatan, Rineka Cipta, Jakarta, pp. 89, 145-148.
Ohnishi, Saitoh, Takagi, Katoh, Chiba, Akasaka et al., 2006, Incidence of Type 2 Diabetes in Individuals With Central Obesity in a Rural Japanese Population,Diabetes Care, 29 (5), pp: 1128.
Patil, S., Sukumaran, S., Bhate, A., Mukherji, A., dan Chandrakar, S., 2012, Correlation of Blood Sugar with Waist Circumference and Body Mass Index in an Indian Population, Global Journal of Pharmacology, 6 (1), pp: 10.
Pinkney J., 2002, Prevention and Cure of Type 2 Diabetes, BMJ 2002, 325, pp: 232–3.
Pongsatha, S., Morakot, N., Sangchun, K., Chaovisitsaree, S., 2012, Correlation Between Waist Circumference and Other Factors in Menopausal Women in Thailand, Menopause Clinic,Health, 4 (2012), pp. 62-63.
Ramachandran, A., Snehalatha, C., Shetty, A.S., Nanditha, A., 2012, Trends in Prevalence of Diabetes in Asian Countries, World J Diabetes, 3 (6), pp: 112.
Riskesdas, 2007, Laporan Hasil Riset Kesehatan Dasar, Badan Penelitian dan Pengembangan Kesehatan, Departemen Kesehatan Republik Indonesia, Jakarta.
Riskesdas, 2007,Tahun 2030 Prevalensi Diabetes Melitus di Indonesia Mencapai 21,3 Juta Orang, http://www.depkes.go.id/index.php/berita/press-
release/414-tahun-2030-prevalensi-diabetes-melitus-di-indonesia-mencapai-213-juta-orang.html, diakses tanggal 13 Desember 2012.
Rodrigues, L., 2011, What Do Men Really Look for in Women?, http://www.learnbodylanguage.org/body_language_courting.html, diakses pada 10 Mei 2012.
Rossner, S. ,2002, Obesity: the disease of the 21st century, International Journal of Obesity, 26, pp. 2-4
Salford Diabetes Care, 2012, What is Impaired Glucose Regulation?,
http://www.salforddiabetescare.co.uk/index2.php?nav_id=461, diakses tanggal 14 Desember 2012.
Sastroasmoro, S. dan Ismael, S., 2010,Dasar-dasar Metodologi Penelitian Klinis, Sagung Seto, Jakarta, pp. 88.
Seidell, J., Perusse, J., Bouchard, C., 2001, Waist and Hip Circumferences Have Independent and Opposite Effects on Cardiovascular Disease Risk Factors: The Quebec Family Study,Am J Clin Nutr2001, 74, pp: 315.
Shah A., Bhandary S., Malik SL, Risal P., Koju R., 2009, Waist Circumference and Waist-hip Ratio as Predictors of Type 2 Diabetes Mellitus in the Nepalese Population of Kavre District, Nepal Medical College Journal : NCMJ 2009, 11(4), pp: 261-267.
Shen, W., Punyanitya, M., Chen, J., Gallagher, D., Jeanine, A., Pi-Sunyer, X.,et al., 2006, Waist Circumference Correlates with Metabolic Syndrome Indicators Better than Percentage Fat,Obesity, 14(4), pp: 732.
Shields, B.M., Hicks, S., Shepherd, M.H., Colclough, K., Hattersley, A.T., Ellard, S., 2010, Maturity-Onset Diabetes of The Young (MODY): How Many Cases are We Missing?,Diabetologia, pp: 2507.
Shirey, Katherine, 2011, Comparisons of Waist Circumference,Waist-to-hip Ratio, and Body Mass Index and Their Associations with Type 2 Diabetes in Rural and Urban India,Thesis, University of Maryland, pp: 37.
Singh, Sunita, 2011, The Genetics of Type 2 Diabetes Mellitus: A Review,
Journal of Scientific Research, 55, pp: 36.
Soetiarto, F., Roselinda, dan Suhardi, 2010, Hubungan Diabetes Mellitus Dengan Obesitas Berdasarkan Indeks Massa Tubuh dan Lingkar Pinggang Data Riskesdas 2007, Laporan Penelitian, Pusat Penelitian dan Pengembangan Biomedis dan Farmasi, Jakarta.
Soewondo, P. dan Pramono, L.A., 2011, Prevalence, Characteristics, and Predictors of Pre-diabetes in Indonesia, Med J Indones 2011, 20 (4), pp: 283-285.
Spiegel, M. dan Stephens, L., 2007, Statistik, edisi ketiga, diterjemahkan oleh Kastawan, W. dan Harmein, I., 150, Erlangga, Jakarta.
Sudoyocit Ashary, Rizki, 2010, Hubungan Obesitas dengan Kadar Glukosa Darah pada Lansia di Wilayah Kerja Puskesmas Aren Jaya Bekasi Periode Januari-Agustus 2010, Thesis, Universitas Pembangunan Nasional Veteran, Jakarta.
The Australian Handbook for General Practitioners, 2007,Diabetes, pp: 5-6.
The Global Diabetes Community, 2010, What Affects Blood Sugar Levels,
http://www.diabetes.co.uk/blood-glucose/what-affects-blood-glucose-levels.html, diakses tanggal 12 November 2012.
The Global Diabetes Community, 2012, Diabetes MODY,
http://www.diabetes.co.uk/diabetes_mody.html, diakses tanggal 6 Desember 2012.
Thevenod, Frank, 2008, Pathophysiology of Diabetes Mellitus Type 2: Roles of
Obesity, Insulin Resistance and β-Cell Disfunction, Diabetes and Cancer, Epidemiological Evidence and Molecular Links, Front Diabetes, 19, pp: 2-6.
Vazquezet al., 2007, Comparison of Body Mass Index, Waist Circumference, and Waist/Hip Ratio in Predicting Incident Diabetes: A Meta-Analysis,
Epidemiologic Reviews, pp. 115-116.
Virtual Medical Centre, 2009, Assessing Central Obesity: Waist to Hip Ratio,
http://www.virtualmedicalcentre.com/health-investigation/assessing-central-obesity-waist-to-hip-ratio/73, diakses tanggal 25 Desember 2012.
Virtual Medical Centre, 2012, Diabetes Mellitus Type 2 (non-insulin dependent,
mature age onset),
http://www.virtualmedicalcentre.com/diseases/diabetes-mellitus-type-2-non-insulin-dependent-mature-age-onset/826 , diakses tanggal 9 Desember 2012.
Wang, Z. dan Hoy, W.E., 2004, Waist Circumference, Body Mass Index, Hip Circumference and Waist-to-Hip Ratio as Predictors of Cardiovascular Disease in Aboriginal People, European Journal of Clinical Nutrition, 58, 888-893.
Wajchenberg, L. B., 2000, Subcutaneous and Visceral Adipose Tissue: Their Relation to the Metabolic Syndrome,Endocrine Reviews,21(6), 697–738. Wild, S., Gojka, R., Green, A., Sicree, R., and King, H., 2004, Global Prevalence
of Diabetes,Diabetes Care, 27 (5), pp: 1047, 1049.
World Health Organization, 2008, Waist Circumference and Waist-Hip Ratio: Report of A WHO Expert Consultation, WHO, Geneva, pp. 5-15, 20, 27.
Zhu, et al., 2002, Waist Circumference and Obesity-associated Risk Factors Among Whites in the Third National Health and Nutrition Examination Survey: Clinical Action Thresholds,Am J Clin Nutr 2002, 76, pp. 743.
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Lampiran 5. Leaflet A. Halaman depan
Lampiran 7. Pengukuran Lingkar Pinggang, Lingkar Panggul dan Pengambilan Darah
Pengukuran Lingkar Pinggang (kiri) dan pengukuran lingkar panggul (kanan)
Lampiran 9. Analisis Statistik
A. Normalitas Karakteristik Umur, Lingkar Pinggang, RLPP, dan Kadar Glukosa Darah Puasa Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
UMUR RESPONDEN 59 100.0% 0 .0% 59 100.0%
Descriptives
Statistic Std. Error
UMUR RESPONDEN Mean 20.22 .198
95% Confidence Interval for Mean Lower Bound 19.82 Upper Bound 20.62 5% Trimmed Mean 20.21 Median 21.00 Variance 2.313 Std. Deviation 1.521 Minimum 17 Maximum 24 Range 7 Interquartile Range 2 Skewness -.204 .311 Kurtosis -.197 .613 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
UMUR RESPONDEN .221 59 .000 .925 59 .001
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
LINGKAR PINGGANG 59 100.0% 0 .0% 59 100.0%
Descriptives
Statistic Std. Error
LINGKAR PINGGANG Mean 84.7493 2.13233
95% Confidence Interval for Mean Lower Bound 80.4810 Upper Bound 89.0176 5% Trimmed Mean 83.5291 Median 82.0300 Variance 268.263 Std. Deviation 1.63787E1 Minimum 59.63 Maximum 140.23 Range 80.60 Interquartile Range 21.34 Skewness 1.214 .311 Kurtosis 1.674 .613 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
LINGKAR PINGGANG .137 59 .008 .915 59 .001
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
RASIO LINGKAR PINGGANG-PANGGUL 59 100.0% 0 .0% 59 100.0% Descriptives Statistic Std. Error RASIO LINGKAR PINGGANG-PANGGUL Mean .8741 .00940
95% Confidence Interval for Mean Lower Bound .8552 Upper Bound .8929 5% Trimmed Mean .8691 Median .8600 Variance .005 Std. Deviation .07223 Minimum .76 Maximum 1.07 Range .31 Interquartile Range .09 Skewness .980 .311 Kurtosis .567 .613
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
RASIO LINGKAR
PINGGANG-PANGGUL .122 59
.029
.922 59 .001
a. Lilliefors Significance Correction
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
KADAR GLUKOSA DARAH
PUASA 59 100.0% 0 .0% 59 100.0%
Descriptives
Statistic Std. Error
KADAR GLUKOSA DARAH PUASA
Mean 80.3390 .85494
95% Confidence Interval for Mean Lower Bound 78.6276 Upper Bound 82.0503 5% Trimmed Mean 80.3032 Median 81.0000 Variance 43.124 Std. Deviation 6.56692 Minimum 64.00 Maximum 97.00 Range 33.00 Interquartile Range 9.00 Skewness .005 .311 Kurtosis .427 .613
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
KADAR GLUKOSA DARAH
PUASA .071 59
.200*
.984 59 .652
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
B. Normalitas Karakteristik Umur, Lingkar Pinggang, RLPP, dan Kadar Glukosa Darah Puasa Responden Wanita
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
UMUR RESPONDEN 69 100.0% 0 .0% 69 100.0%
Descriptives
Statistic Std. Error
UMUR RESPONDEN Mean 19.75 .152
95% Confidence Interval for Mean Lower Bound 19.45 Upper Bound 20.06 5% Trimmed Mean 19.76 Median 20.00 Variance 1.600 Std. Deviation 1.265 Minimum 17 Maximum 22 Range 5 Interquartile Range 2 Skewness -.281 .289 Kurtosis -.727 .570
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
UMUR RESPONDEN .215 69 .000 .917 69 .000
a. Lilliefors Significance Correction
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
LINGKAR PINGGANG 69 100.0% 0 .0% 69 100.0%
Descriptives
Statistic Std. Error
LINGKAR PINGGANG Mean 74.1280 1.18487
95% Confidence Interval for Mean Lower Bound 71.7636 Upper Bound 76.4923 5% Trimmed Mean 73.7521 Median 71.9700 Variance 96.870 Std. Deviation 9.84224 Minimum 55.87 Maximum 102.10 Range 46.23 Interquartile Range 13.72 Skewness .576 .289 Kurtosis -.057 .570
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
LINGKAR PINGGANG .116 69 .023 .966 69 .061
a. Lilliefors Significance Correction
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
RASIO LINGKAR PINGGANG-PANGGUL 69 100.0% 0 .0% 69 100.0% Descriptives Statistic Std. Error RASIO LINGKAR PINGGANG-PANGGUL Mean .7961 .00651
95% Confidence Interval for Mean Lower Bound .7831 Upper Bound .8091 5% Trimmed Mean .7934 Median .7900 Variance .003 Std. Deviation .05405 Minimum .70 Maximum .96 Range .26 Interquartile Range .07 Skewness .732 .289 Kurtosis .661 .570
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
RASIO LINGKAR
PINGGANG-PANGGUL .091 69
.200*
.960 69 .026
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
KADAR GLUKOSA DARAH
PUASA 69 100.0% 0 .0% 69 100.0%
Descriptives
Statistic Std. Error
KADAR GLUKOSA DARAH PUASA
Mean 77.2319 .68293
95% Confidence Interval for Mean Lower Bound 75.8691 Upper Bound 78.5946 5% Trimmed Mean 77.2899 Median 77.0000 Variance 32.181 Std. Deviation 5.67281 Minimum 58.00 Maximum 92.00 Range 34.00 Interquartile Range 7.00 Skewness -.354 .289 Kurtosis 1.402 .570
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
KADAR GLUKOSA DARAH
PUASA .094 69
.200*
.977 69 .229
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
C. Grafik Distribusi Karakteristik Responden Wanita dan Pria
E. Uji Normalitas Kadar Glukosa Darah Puasa pada Kelompok Responden Pria dengan Lingkar Pinggang < 90 cm dan Lingkar Pinggang≥ 90 cm
Case Processing Summary
KLASIFI KASI LINGKA R PINGG ANG Cases
Valid Missing Total
N Percent N Percent N Percent
KADAR GLUKOSA DARAH PUASA
<90 43 100.0% 0 .0% 43 100.0%
Descriptives
KLASIFIKASI LINGKAR PINGGANG Statistic Std. Error
KADAR GLUKOSA DARAH PUASA
<90 Mean 80.0698 .82620
95% Confidence Interval for Mean Lower Bound 78.4024 Upper Bound 81.7371 5% Trimmed Mean 80.3398 Median 81.0000 Variance 29.352 Std. Deviation 5.41776 Minimum 64.00 Maximum 88.00 Range 24.00 Interquartile Range 8.00 Skewness -.653 .361 Kurtosis .383 .709 >=90 Mean 81.0625 2.28850
95% Confidence Interval for Mean Lower Bound 76.1847 Upper Bound 85.9403 5% Trimmed Mean 81.0694 Median 80.0000 Variance 83.796 Std. Deviation 9.15401 Minimum 65.00 Maximum 97.00 Range 32.00 Interquartile Range 12.75 Skewness .248 .564 Kurtosis -.593 1.091
Tests of Normality KLASIFI KASI LINGKA R PINGG ANG Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
KADAR GLUKOSA DARAH PUASA
<90 .124 43 .093 .957 43 .104
>=90 .131 16 .200* .970 16 .845
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
F. Uji Normalitas Kadar Glukosa Darah Puasa pada Kelompok Responden Wanita dengan Lingkar Pinggang < 80 cm dan Lingkar Pinggang≥80 cm
Case Processing Summary
KLASIFI KASI LINGKA R PINGG ANG Cases
Valid Missing Total
N Percent N Percent N Percent
KADAR GLUKOSA DARAH PUASA
<80 50 100.0% 0 .0% 50 100.0%
>=80 19 100.0% 0 .0% 19 100.0%
Descriptives
KLASIFIKASI LINGKAR PINGGANG Statistic Std. Error
KADAR GLUKOSA DARAH PUASA
<80 Mean 76.9000 .67264
Mean Upper Bound 78.2517 5% Trimmed Mean 76.8889 Median 77.5000 Variance 22.622 Std. Deviation 4.75631 Minimum 67.00 Maximum 87.00 Range 20.00 Interquartile Range 8.00 Skewness -.162 .337 Kurtosis -.611 .662 >=80 Mean 78.1053 1.76034
95% Confidence Interval for Mean Lower Bound 74.4069 Upper Bound 81.8036 5% Trimmed Mean 78.4503 Median 77.0000 Variance 58.877 Std. Deviation 7.67315 Minimum 58.00 Maximum 92.00 Range 34.00 Interquartile Range 8.00 Skewness -.705 .524 Kurtosis 1.948 1.014 Tests of Normality KLASIFI KASI LINGKA R PINGG ANG Kolmogorov-Smirnova Shapiro-Wilk
KADAR GLUKOSA DARAH PUASA <80 .091 50 .200* .974 50 .340 >=80 .185 19 .086 .935 19 .218 a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
G. Uji Beda Independent T-test Kadar Glukosa Darah Puasa pada Responden Pria dengan Pengelompokan Berdasarkan Lingkar Pinggang
Group Statistics
KLASIFIKASI LINGKAR
PINGGANG N Mean Std. Deviation Std. Error Mean
KADAR GLUKOSA DARAH PUASA
<90 43 80.0698 5.41776 .82620
>=90 16 81.0625 9.15401 2.28850
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Differenc e Std. Error Differen ce 95% Confidence Interval of the Difference Lower Upper KADAR GLUKOSA DARAH PUASA Equal variances assumed 7.950 .007 -.513 57 .610 -.99273 1.9354 0 -4.86830 2.88284 Equal variances not assumed -.408 19.049 .688 -.99273 2.4330 7 -6.08432 4.09886
H. Uji BedaIndependent T-testKadar Glukosa Darah Puasa pada Responden Wanita dengan Pengelompokan Berdasarkan Lingkar Pinggang
Group Statistics KLASIF IKASI LINGK AR PINGG
ANG N Mean Std. Deviation Std. Error Mean
KADAR GLUKOSA DARAH PUASA
<80 50 76.9000 4.75631 .67264
>=80 19 78.1053 7.67315 1.76034
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equality of Means
F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Differen ce 95% Confidence Interval of the Difference Lower Upper KADAR GLUKOSA DARAH PUASA Equal variances assumed 2.299 .134 -.786 67 .435 -1.20526 1.53315 -4.26544 1.85491 Equal variances not assumed -.640 23.456 .529 -1.20526 1.88448 -5.09941 2.68888
I. Uji Normalitas Kadar Glukosa Darah Puasa pada Kelompok Responden
