BAB V. KESIMPULAN DAN SARAN
B. Saran
1. Pada penelitian selanjutnya dapat dilakukan perhitungan body fat percentage
dengan menggunakan bagianskinfold thicknessyang lain atau dengan menambah jumlah bagian skinfold thickness yang digunakan seperti bagian subscapular, thigh, bicep dan calf agar dapat lebih menggambarkan jumlah lemak dalam tubuh.
2. Pada penelitian berikutnya diharapkan dapat menggunakan metode alternatif lain yang lebih mudah dan canggih dalam mendapatkan nilaibody fat
percentage.
3. Penelitian selanjutnya diharapkan dapat diketahui mengenai gaya hidup, aktifitas fisik, keadaan fisik dan keadaan patologis dari responden melalui wawancara dan/atau pemeriksaan.
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DAFTAR PUSTAKA
Abalkhail, B., and Shawky, S., 2002, Comparison Between Body Mass Index, Triceps Skinfold Thikcness and Mid-arm Muscle Circumferance in Saudi Adolescents,Ann Saudi Med, 22 (5-6), 324-328.
Akther, D., Amin, R., Begum, U.S.N., Akhter, N., Habib, N., Islam, M., et al., 2010, Serum Total Cholesterol and Triglyceride Status in Female Athletes,
J Bangladesh Soc Physiol., 5(2), 71-74.
Al Ajlan, A, R., 2011, Lipid Profile in Relation to Anthropometric Measurements among College Male Students in Riyadh, Saudi Arabia: A Cross-Sectional Study,Int J Biomed Sci, 7(2), pp.112-119.
Almatsier, S., 2009, Prinsip Dasar Ilmu Gizi, Cetakan ke VII, PT. Gramedia Pustaka Utama, Jakarta , pp. 70.
American Heart Assiciation, 2012,Cholesterol Reference, USA, pp. 1-6
Anonim, 2013, How to use the Expert Skinfold Caliper (Fat Measurer), For Accurate and Affordable Body Composition Assessment, Inclusief gebruiksaanwijzing in het Nederland, 4, 6.
Balai Pelatihan dan Pengembangan Kesehatan Departemen Kesehatan, 2007,
Hasil Riset Kesehatan Dasar Provinsi D.I Yogyakarta 2010, Departemen Kesehatan Republik Indonesia, Jakarta, pp.55.
Balai Pelatihan dan Pengembangan Kesehatan Departemen Kesehatan, 2010,
Hasil Riset Kesehatan Dasar Provinsi D.I Yogyakarta 2010, Departemen Kesehatan Republik Indonesia, Jakarta, pp.69-70.
Balai Pelatihan dan Pengembangan Kesehatan Departemen Kesehatan, 2013,
Hasil Riset Kesehatan Dasar Provinsi D.I Yogyakarta 2010, Departemen Kesehatan Republik Indonesia, Jakarta, pp.264.
Bhardwaj, S., Misra, A., Misra, R., Goel, K., Bhatt, S.P., Rastogi, K., et al, 2011, High Prevalence of Abdominal, Intra-Abdominal and Subcutaneous Adiposity and Clustering of Risk Factors among Urban Asian Indians in North India,Journal Pone, 6(9), 1.
Birtcher, K.K., and Ballantyne, C.M., 2004, Measurement of Cholesterol A Patient Perspective,Journal of The American Heart Association, 110, 296-297.
64
Boivin, A., Brochu, G., Marceau, S., Marceau P., Hould, F., and Tchernof, A., 2007, Regional Differences in Adipose Tissue Metabolism in Obese Men, PubMed Gov., 56, 533-540.
Boudi, F.B., 2014, Risk Factors for Coronary Artery Disease, http://emedicine.medscape.com/article/164163-overview, diakses pada 18 Oktober 2014.
Canoy D, Boekholdt SM, Wareham N et al., 2007, Body fat distribution and risk of coronary heart disease in men and women in the European Prospective Investigation Into Cancer and Nutrition in Norfolk cohort: a population-based prospective study,Circulation, (116), 2933-2935.
Chadha, Wg., Gurdeep, Singh., Kharbanda, Gp., Vasdev, Wg., Ganjoo, Air., 2006, Anthropometric correlation of lipid profile in healthy aviators, IJASM, 50(2), 32-34.
Chehrei, A., Saeid, S., Keshteli, A, H., Daneshman, M, A., and Rezaei, J., 2007, Correlation of Dyslipemia With Waist to Heiht Ratio, Waist Circumference, and Body Mass Index in Iranian Adults, Asia Pac J Clin Nutr., 16(2), 248-253.
Chest Heart and Stroke Scotland, 2013, Cholesterol, 7 North Road Maidenhead, F3.
Cho, K, H., 2009, Biomedicinal Implications of High-Density Lipoprotein: Its Composition, Structure, Functions, and Clinical Applications, Yeungnam University, Korea, pp. 393-400.
Colpo, A., 2005, LDL Cholesterol:“Bad” Cholesterol, or Bad Science?,Journal of American Physicians and Surgeons,10 (3), pp.83-89.
Dahlan, M.S., 2012,Statistika untuk Kedokteran dan Kesehatan, Edisi 4, Salemba Medika, Jakarta, pp. 4, 13, 62, 169.
Darmawan, Hardi., and Irfanuddin, 2007, Effect of age and sex on the association between lipid profile and obesity among telecomunication workers in Palembang, Department of Physiology and Biophysics Faculty of Medicine University of Sriwijaya, 16(4), 251-256
Depkes Republik Indonesia, 2011, Uji Fungsi Alat Kimia Klinis dan Hematologi, www.depkes.go.id/download/yandu/uji_fungsi_alat_kimia_klinis_hematol ogi.pdf, diakses tanggal 19 Oktober 2014.
65
Demura, S., Sato., S., 2007, Suprailiac or Abdominal Skinfold Thickness Measured with a Skinfold Caliper as a Predictor Body Densitiy in Japanese Adult,Tohoku Journal of Experimental Medicine,213, 51-61.
Deneker,M., Thorsson, O., Karlsson, M.K., Linden, C., Wollmer, P., Andersen, L.B., 2012, Body Fat, Abdominal Fat, and Body Fat Distribution Related
to Risk Faktor for CVD in Children,
http://spo.escardio.org/eslides/view.aspx?eevtid=24&fp=1450, diakses tanggal 30 Oktober 2012.
Díaz, M.E., Santa, J., René, G.G., Mariano, B.,andIraida, W., 2009, Overweight, Obesity, Central Adiposity and Associated Chronic Diseases in Cuban Adults,MEDICC Review, Fall, 11, (4), 23-24.
Ding, B., Zheng, L., Lu, S., Liang, M., Jiang, K., and Su, Q., 2007, The variation of skinfold thickness of Mulam adults in China, Journal of Life Sciences, ISSN1934-7391, 55.
Enomoto, M., Adachi, H., Hirai, Y., Fukami, A., Satoh, A., et al., 2011, LDL-C/HDL-C Ratio Predicts Carotid Intima-Media Thickness Progression Better Than HDL-C or LDL-C Alone, Hindawi Publishing Corporation Journal of Lipids, 2011, 1-3.
Flegal, K.M., Graubard, B.I., Williamson, D.F., Gail, M.H., 2005, Excess deaths associated with underweight, overweight, and obesity, JAMA, (293), 1861–1867.
Fitch, A., Everling, L., Fox, C., Goldberg, J., Heim, C., Johnson, K., Kaufman, T., Kennedy, E., Kestenbaun, C., Lano, M., Leslie, D., Newell, T., O’Connor, P., Slusarek, B., Spaniol, A., Stovitz, S., Webb, B., 2013, Prevention and Management of Obesity for Adults, Institute for Clinical Systems Improvement, 6.
Folsom AR, Kushi LH, Anderson KE et al., 2000, Associations of general and abdominal obesity with multiple health outcomes in older women: the IowaWomen’s Health Study,Arch Intern Med, (160), 2117–2119.
Fox, S.I., 2004, Human Physiology ,8th edition, McGraw-Hill, New York, pp. 396-397, 608.
66
Gharakhanlou, R., Farzad, B., Agha-Alinejad, H., Steffen, L. M., and Bayati, M., 2011, Anthropometric Measures as Predictors of Cardiovascular Disease Risk Factors in the Urban Population of Iran, Arq Bras Cardiol, 98(2), 130-132
Ghorbanian, Bahloul, 2012, Relation between anthropometric indicators and serum lipid profiles as cardiovascular risk factors personals of Iranian Azarbayjan University of Shahid Madani, European Journal of Sports and Exercise Science, 1 (3), 52-58.
Ghorbanian, Bahloul, 2014, The association of anthropometric indicators and cardiovascularrisk factorsin Iranian men and women, International Journal of Sport Studies, 4(8), 914-920.
Goh, Victor H.H., C, F, Tain., Terry Y, Y, T., Helen P, P, M., and M,T, Wong, 2004, Are BMI and other anthropometric measures appropriate as indices for obesity? A study in an Asian population,Department of Obstetrics and Gynecology, National University of Singapore, National University Hospital, Kent Ridge, Singapore, 45, 1892-1895.
Hastuti, J., 2013, Anthropometry and Body Composition of Indonesian Adults: An Evaluation of Body Image, Eating Behaviours, and Physical Activity,
Tesis, 88, Queensland University of Technology, Queensland.
Havard Medical Family Health, 2005, Making Sense of Cholesterol Test, http://www.health.harvard.edu/fhg/updates/update0205c.shtml, diakses pada tanggal 12 Mei 2014.
Hoeger, W.W.K., and Hoeger, S.A., 2014, Principles and Labs for Fitness and Wellness, 12th Edition,Wadsworth Cengage Learning, USA, pp.132,142. Indriati, E., 2010, Antropometri: Untuk Kedokteran, Keperawatan, Gizi, dan
Olahraga, Citra Aji Parama, Yogyakarta, pp. 1, 84.
Jean-Pierre, D., Isabelle, L., Jean, B., Philippe, P., Patrick, M., Eric, L., et al.,
2008, Abdominal Obesity and the Metabolic Syndrome: Contribution to Global Cardiometabolic Risk, “Arteriosclerosis, Trombosis, and Vascular Biology:Journal of The American Heart Association”,(28), 1039-1043. Junior, H.L.R., Scelza, M.F.Z., Boaventura, G.T., Custodio, S.M., Moiera,
E.A.M., and Oliveira, D.D.L., 2012, Relation Between Oral Health and Nutritional Condition in the Elderly, Journal of Applied Oral Science, (20), 38-44.
67
Kim, J, Y., Han, Sang-Hwan., and Yang., Bong-Min, 2013, Implication of High-Body-Fat Percentage on Cardiometabolic Risk in Middle-Aged,Healthy, Normal-Weight Adults,Obesity, 21(8), 1571,1574-1575.
Kiswanto, N., 2013, Korelasi Body Fat Percentage Terhadap Rasio Kadar Kolesterol Total/HDL Pada Mahasiswa dan Mahasiswi Kampus III Universitas Sanata Dharma, Skripsi, 52-56, Universitas Sanata Dharma, Yogyakarta.
Kotecki, J.E., 2014, Physical Activity & Health : An Interactive Approach, 4th Edition, Jones & Bartlett Learning, Burlingto, pp. 180.
Lee, T.H.,andSimon, H.B., 2009,Beating Heart Disease: Stategies for a Healthy Heart, Havard University, Boston, (8), 10.
Malnick, S.D., Knobler, H., 2006, The medical complications of obesity,QJM, 99 (9), 565–79.
Mathieu P, Pibarot P, Larose E, Poirier P, Marette A, Despres JP., 2008, Visceral obesity and the heart.Int J Biochem Cell Biol(40), 821–836.
Mike, M.J., Guidelines for Athlete Assessment in New Zealand Sport Kinanthropometric Assessment, https://www.ljmu.ac.uk, diakses pada 17 Oktober 2014.
Millan, J., Pinto, X., Munoz, A., Zuniga, M., Rubies-Prat, J., Pallardo, L.F., et al, 2009, Lipoprotein ratios : Physiological significance and clinical usefullness in cardiovascular prevention, Vascular Health Risk Management, 5, pp.757-765.
Momiyama, Y., Ohmori, R., Kato, R., Taniguchi, H., Nagata, M.,andOhsuzu, F., 2012, Associations between LDL/HDL-cholesterol Ratio and Thoracic and Abdominal Aortic Atherosclerosis Assessed by MRI, Journal of Cardiovascular Magnetic Resonance, 14(1), 72.
Mirele, A.M, Regina, L.M.F., Emília, A.M.M., Erasmo, B.S., Tales, C., 2010, Relation between anthropometric indicators and risk factors for cardiovascular disease, Arq Bras Cardiol, São Paulo Apr. Epub, 94(4), 914, 918.
Nakanishi, N., Nakamura. K., Suzuki, K., Matsuo., Tatara, K., 2000, Associations of Body Mass Index and Percentage Body Fat by Bioelectrical Impedance Analysis with Cardiovascular Risk Factors in Japanese Male Office Workers, Ind Health, 3, 273-277.
68
National Cholesterol Education Program, 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) Executive Summary, National Institute of Health, USA, NIH Publication No 02-5215. pp. 3, 5-10.
National Health and Nutrition Examination Survey (NHANES), 2013, Anthropometry Procedures Manual,Westat Inc, Washington DC, 1-1. National Institute for Health and Clinical Excellence, 2006, Understanding NICE
guidance, Preventing Obesity and Staying a Healthy Weight, NHS, London, 8.
Notoatmodjo, S., 2010, Metodologi Penelitian Kesehatan, Edisi Revisi, Rineka Cipta, Jakarta, pp. 37-38, 124-125.
Peterson M.J., Czerwinski S.A., and Siervogel,R.M., 2003, Development and Validation of Skinfold Thickness Prediction Equations with a 4-Compartment Model, The American Journal of Clinical Nutrition, 77, 1186.
Prayogie, R., 2011, Korelasi Body Mass Index (BMI) dan Triceps Skinfold Thickness Terhadap Rasio Kadar Kolesterol Total/HDL, Skripsi, 36-45, Universitas Sanata Dharma, Yogyakarta.
Pribis P., Burtnack CA., McKenzie SO., dan Thayer J., 2010, Trends in Body Fat, Body Mass Index and Physical Fitness Among Male and Female College Students, Department of Nutrition and Wellness, Andrews University, 2, 1077.
Ramayulis, R., dan Lesmana, L., 2008, 17 Alternatif Untuk Langsing, Penerbit Jakarta Plus+, Jakarta, pp. 8.
Rankinen, T., Zuberi, A., Chagnon, Y.C., Weisnagel, S.J., Argyropoulos, G., et al., 2006, The human obesity gene map: the 2005 update, Obesity (Silver Spring), 14(4), 529-531.
Raras, H.A.A., Korelasi Body Fat Percentage Terhadap Rasio Kadar LDL/HDL Pada Mahasiswa dan Mahasiswi Kampus III Universitas Sanata Dharma,
Skripsi, 70-71, Universitas Sanata Dharma, Yogyakarta.
Ridker, P.M., Rifai, N., Cook, N.R., Bradwin, G., and Buring, J.E., 2005, Non– HDL Cholesterol, Apolipoproteins A-I and B100, Standard Lipid Measures, Lipid Ratios, and CRP as Risk Factors for Cardiovascular Disease in Women,American Medical Association,294 (3), 326-333.
69
Robbins, and Cotran, 2010, Pathologic Basis of Disease, 8th ed, Saunders Elsivier, United State of America, pp. 438-444, 726-727.
Rodríguez, G., Moreno, L.A., Blay, M.G., Blay, V.A., Garagorri, J.M., Sarría, A.,
et al., 2004, Body composition in adolescents: Measurements and metabolic aspects.Int J Obes Relat Metab Disord, 28, S, 54–8.
Ronny, 2003,Metode Penelitian untuk Penulisan Skripsi dan Tesis, 1th ed., PPM, Jakarta, pp.152-156.
Santrock, J.W., 2004, Life-Span Development, 9th Edition, McGraw-Hill, New York, pp 197.
Schilling, J.A.,et al, 2006, Personal Guide to Assessment,Lippincott Williams & Wilkins, America, pp. 61-62, 73.
Shah, S.Z.A., Devrajani, B.R., Devrajani, T., Bibi, I., 2010, Frequency of Dyslipidemia in Obese versus Non-obese in relation to Body Mass Index (BMI), Waist Hip Ratio (WHR) and Waist Circumference (WC),Pakistan Journal of Science, 62(1).
Silva, D.A.S., Edio, L.P., and Marco, A.P., 2012, Is high body fat estimated by body mass index and waist circumference a predictor of hypertension in adults? A population-based study,Nutrition Journal, 11(112), 1-9.
Teresa, F.A., Maria, T.R., Rita, S.G., Elisa, M., Maria, F.C., Jorge, M., et al., 2010, Accuracy of a digital skinfold system for measuring skinfold thickness and estimating body fat, British Journal of Nutrition, 105, 478– 484.
Tsigos, C., Hainer, V., Basdevant, A., Finer N., Fried, M., Mathus-Vliegen, et al, 2008, Management of Obesity in Adults: European Clinical Practice Guidelines,The European Journal of Obesity, 107.
Turki, K.M., Alosami, M.H., and Abdul, Q.Z.H., 2009, The Effect of Obesity on Serum Leptin and Lipid Profile, The Iraqi Postgraduate Medical Journal,
Department of Rheumatology College of Medicine Baghdad University, (1), 1.
Umar, Husein, 2008, Metode Penelitian untuk Skripsi dan Tesis Bisnis, Edisi Kedua, PT.Raja Grafindo Persada, Jakarta, pp.81,90-93.
Utami, N.E., 2012, Korelasi BMI dan Abdominal Skinfold Thickness Terhadap Rasio Kolesterol Total/HDL Pada Staf Wanita Universitas Sanata Dharma,
70
Vasan, S.K., Thomas, N., Christopher, S., Geethanjali, F.S., Paul, T.V., Sanjeevi, C.B., 2011, Anthropometric measurements for the prediction of the metabolic syndrome: a cross-sectional study on adolescents and young adults from southern india, The Journal of the Asia Pacific Heart Association, (3), 2-7.
Vincent, 2014,Functional Neurology, Endocrinology, and Allergy Treatment For Chronic Conditions, http://www.doctorvincentdo.com/diabetes, diakses tanggal 1 November 2014.
Vlad, S., Ciupa, R.V., and Nicu, A.I., (Eds), 2009, International Federation for Medical and Biological Engineering (IFMBE) Proceeding, 2nd Edition, Volume 26,Spinger, pp. 29-30, 105-106.
World Health Organization, 2014, Risk Factors, WHO, http://www.who.int/cardiovascular_diseases/en/cvd_atlas_03_risk_factors. pdf, diakses pada 19 Oktober 2014.
Women, Infants and Childreen (WIC), 2010, Anthropometric Training Manual, Part 1: Anthropometric Technique and Data Entry, Department of Health, Pennsylvania.
Ye, H., Xiangjun, H., Jingya, B., Jing, W., Jinquan, H., Yutang, W.,et al, 2012, A Statistical Analysis on Skinfold Thickness and Measurement of Body Composition for Chinese Adults, Scientific Research and Essays, 7(31), 2.827.
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71 Lampiran 1. Surat Izin Penelitian
72 Lampiran 2.Ethical Clearance
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75 Lampiran 5.Leaflet
1. LeafletTampak Depan
76 Lampiran 6.Informed Consent
77 Lampiran 7. Pedoman Wawancara
78 Lampiran 8.FormPengukuran Antropometri
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Lampiran 9 : Uji Validitas dan Realiabilitas Instrumen Penelitian (skinfold calipermerekphi zhi hou du fi®)(Responden Pria umur 45 tahun)
No Triceps Skinfold Thickness (mm) x2 SD CV(%) 1 15,50 15,20 0,45 2,96 2 15,50 3 15,00 4 15,50 5 14,50 No Suprailiac Skinfold Thickness (mm) x2 SD CV(%) 1 17,50 17,10 0,42 2,46 2 16,50 3 17,50 4 17,00 5 17,00 No Triceps Skinfold Thickness (mm) x2 SD CV(%) 1 19,50 19,30 0,27 1,40 2 19,50 3 19,00 4 19,50 5 19,00
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Lampiran 10. Dokumentasi PengukuranSkinfold Thickness 1. Dokumentasi pengukuranAbdominal Skinfold Thickness
2. Dokumentasi pengukuranSuprailiac Skinfold Thickness
3. Dokumentasi pengukuranTriceps Skinfold Thickness
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Lampiran 12 : Deskriptif dan Uji Normalitas Umur Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
umur 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
umur Mean 44.48 .361
95% Confidence Interval for Mean Lower Bound 43.76 Upper Bound 45.21 5% Trimmed Mean 44.45 Median 44.00 Variance 8.592 Std. Deviation 2.931 Minimum 40 Maximum 50 Range 10 Interquartile Range 5 Skewness .097 .295 Kurtosis -.999 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
umur .105 66 .070 .950 66 .010
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Lampiran 13 : Deskriptif dan Uji Normalitas Abdominal Skinfold Thickness, Suprailiac Skinfold Thickness, dan Triceps Skinfold Thickness Responden Pria
1. Data NormalitasAbdominal Skinfold ThicknessResponden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
abdominal 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
abdominal Mean 30.0303 1.45867
95% Confidence Interval for Mean Lower Bound 27.1171 Upper Bound 32.9435 5% Trimmed Mean 30.0470 Median 29.9150 Variance 140.429 Std. Deviation 11.85027 Minimum 4.67 Maximum 54.00 Range 49.33 Interquartile Range 16.34 Skewness .045 .295 Kurtosis -.364 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
abdominal .077 66 .200* .982 66 .461
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
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2. Data NormalitasSuprailiac Skinfold ThicknessResponden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
suprailiac 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
suprailiac Mean 22.1242 1.22088
95% Confidence Interval for Mean Lower Bound 19.6860 Upper Bound 24.5625 5% Trimmed Mean 21.7709 Median 19.4000 Variance 98.376 Std. Deviation 9.91848 Minimum 4.00 Maximum 50.20 Range 46.20 Interquartile Range 15.28 Skewness .543 .295 Kurtosis .064 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
suprailiac .135 66 .005 .964 66 .052
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3. Data NormalitasTriceps Skinfold ThicknessResponden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
triceps 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
triceps Mean 13.0227 .72311
95% Confidence Interval for Mean Lower Bound 11.5786 Upper Bound 14.4669 5% Trimmed Mean 12.7323 Median 13.0500 Variance 34.511 Std. Deviation 5.87461 Minimum 4.00 Maximum 30.80 Range 26.80 Interquartile Range 6.97 Skewness .669 .295 Kurtosis .360 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
triceps .085 66 .200* .958 66 .026
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
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Lampiran 14 : Deskriptif dan Uji Normalitas Body Fat Percentage Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
BFP 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
BFP Mean 20.6702 .88170
95% Confidence Interval for Mean Lower Bound 18.9093 Upper Bound 22.4310 5% Trimmed Mean 20.6523 Median 20.8700 Variance 51.308 Std. Deviation 7.16295 Minimum 5.14 Maximum 37.52 Range 32.38 Interquartile Range 10.65 Skewness .035 .295 Kurtosis -.235 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
BFP .074 66 .200* .984 66 .549
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
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Lampiran 15 : Deskriptif dan Uji Normalitas Kadar Kolesterol Total, HDL, LDL, Rasio Kolesterol Total/HDL, Rasio LDL/HDL Responden Pria
1. Data Normalitas Kadar Kolesterol Total Responden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
KolesterolTotal 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
KolesterolTotal Mean 195.0318 4.33863
95% Confidence Interval for Mean Lower Bound 186.3670 Upper Bound 203.6967 5% Trimmed Mean 195.2751 Median 198.3500 Variance 1242.363 Std. Deviation 35.24717 Minimum 99.80 Maximum 283.50 Range 183.70 Interquartile Range 48.03 Skewness -.094 .295 Kurtosis .047 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig. KolesterolTotal .054 66 .200* .996 66 .998
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
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2. Data Normalitas Kadar HDL Responden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
HDL 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
HDL Mean 43.0742 1.09665
95% Confidence Interval for Mean Lower Bound 40.8841 Upper Bound 45.2644 5% Trimmed Mean 43.0854 Median 43.4000 Variance 79.375 Std. Deviation 8.90926 Minimum 24.30 Maximum 63.90 Range 39.60 Interquartile Range 14.37 Skewness .004 .295 Kurtosis -.493 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
HDL .069 66 .200* .988 66 .791
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
88 3. Data Normalitas Kadar LDL Responden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
LDL 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
LDL Mean 118.9773 3.70476
95% Confidence Interval for Mean Lower Bound 111.5784 Upper Bound 126.3762 5% Trimmed Mean 119.4330 Median 122.9500 Variance 905.865 Std. Deviation 30.09759 Minimum 40.30 Maximum 191.60 Range 151.30 Interquartile Range 43.17 Skewness -.323 .295 Kurtosis .170 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
LDL .096 66 .200* .981 66 .402
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
89
4. Data Normalitas Rasio Kolesterol Total/HDL Responden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
RasioKolesterolTotalHDL 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
RasioKolesterolTotalHDL Mean 4.6909 .14285
95% Confidence Interval for Mean Lower Bound 4.4056 Upper Bound 4.9762 5% Trimmed Mean 4.6455 Median 4.7050 Variance 1.347 Std. Deviation 1.16049 Minimum 2.71 Maximum 8.45 Range 5.74 Interquartile Range 1.77 Skewness .470 .295 Kurtosis .438 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig. RasioKolesterolTotalHDL .070 66 .200* .966 66 .066
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
90
5. Data Normalitas Rasio LDL/HDL Responden Pria
Case Processing Summary Cases
Valid Missing Total
N Percent N Percent N Percent
RasioLDLHDL 66 100.0% 0 0.0% 66 100.0%
Descriptives
Statistic Std. Error
RasioLDLHDL Mean 2.8408 .10056
95% Confidence Interval for Mean Lower Bound 2.6399 Upper Bound 3.0416 5% Trimmed Mean 2.8280 Median 2.9400 Variance .667 Std. Deviation .81693 Minimum 1.37 Maximum 4.94 Range 3.57 Interquartile Range 1.26 Skewness .109 .295 Kurtosis -.650 .582 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
RasioLDLHDL .065 66 .200* .977 66 .247
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
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Lampiran 16 : Deskriptif dan Uji Normalitas Kolesterol Total, HDL, LDL, Rasio Kolesterol Total/HDL, dan Rasio LDL/HDL terhadap Kelompok Body Fat Percentage<25,1% dan≥25,1% Responden Pria
1. Data Normalitas Kolesterol Total pada Kelompok Body Fat Percentage
<25,1% dan Body Fat Percentage≥25,1% pada Responden Pria
Case Processing Summary
KlasifikasiBFP
Cases
Valid Missing Total
N Percent N Percent N Percent
KolesterolTotal BFP>=25,1 18 100.0% 0 0.0% 18 100.0%
BFP<25,1 48 100.0% 0 0.0% 48 100.0%
Descriptives
KlasifikasiBFP Statistic Std. Error
KolesterolTotal BFP>=25,1 Mean 206.5167 8.90953 95% Confidence Interval for
Mean Lower Bound 187.7192 Upper Bound 225.3141 5% Trimmed Mean 209.6463 Median 219.0000 Variance 1428.834 Std. Deviation 37.79993 Minimum 99.80 Maximum 256.90 Range 157.10 Interquartile Range 34.28 Skewness -1.561 .536 Kurtosis 2.714 1.038 BFP<25,1 Mean 190.7250 4.85603
95% Confidence Interval for Mean Lower Bound 180.9559 Upper Bound 200.4941 5% Trimmed Mean 189.8037 Median 191.5000 Variance 1131.890 Std. Deviation 33.64357
92 Minimum 129.20 Maximum 283.50 Range 154.30 Interquartile Range 38.98 Skewness .490 .343 Kurtosis .295 .674 Tests of Normality KlasifikasiBFP Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig. KolesterolTotal BFP>=25,1 .221 18 .020 .855 18 .010
BFP<25,1 .087 48 .200* .976 48 .410
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Perbandingan Kolesterol Total pada kelompokBody Fat Percentage<25,1% dan kelompokBody Fat Percentage≥25,1% pada Responden Pria dengan uji Mann
-Whitney, karena salah satu data tidak terdistribusi normal.
Ranks
KlasifikasiBFP N Mean Rank Sum of Ranks KolesterolTotal BFP>=25,1 18 42.33 762.00 BFP<25,1 48 30.19 1449.00 Total 66 Test Statisticsa KolesterolTotal Mann-Whitney U 273.000 Wilcoxon W 1449.000 Z -2.289
Asymp. Sig. (2-tailed) .022 a. Grouping Variable: KlasifikasiBFP
93
2. Data Normalitas HDL pada Kelompok Body Fat Percentage <25,1% dan
Body Fat Percentage≥25,1% pada Responden Pria
Case Processing Summary
KlasifikasiBFP
Cases
Valid Missing Total
N Percent N Percent N Percent
HDL BFP>=25,1 18 100.0% 0 0.0% 18 100.0%
BFP<25,1 48 100.0% 0 0.0% 48 100.0%
Descriptives
KlasifikasiBFP Statistic Std. Error
HDL BFP>=25,1 Mean 42.5278 2.18461
95% Confidence Interval for Mean Lower Bound 37.9186 Upper Bound 47.1369 5% Trimmed Mean 42.8031 Median 45.9000 Variance 85.906 Std. Deviation 9.26853 Minimum 24.40 Maximum 55.70 Range 31.30 Interquartile Range 16.30 Skewness -.619 .536 Kurtosis -.803 1.038 BFP<25,1 Mean 43.2792 1.27919
95% Confidence Interval for Mean Lower Bound 40.7058 Upper Bound 45.8526 5% Trimmed Mean 43.1602 Median 42.6500 Variance 78.544 Std. Deviation 8.86252 Minimum 24.30
94 Maximum 63.90 Range 39.60 Interquartile Range 13.82 Skewness .247 .343 Kurtosis -.395 .674 Tests of Normality KlasifikasiBFP Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
HDL BFP>=25,1 .212 18 .031 .917 18 .112
BFP<25,1 .092 48 .200* .981 48 .626
*. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Perbandingan HDL pada kelompokBody Fat Percentage<25,1% dan kelompok
Body Fat Percentage ≥25,1% pada Responden Pria dengan uji t tidak berpasangan
Group Statistics
KlasifikasiBFP N Mean Std. Deviation Std. Error Mean HDL BFP>=25,1 18 42.5278 9.26853 2.18461
BFP<25,1 48 43.2792 8.86252 1.27919
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 Difference 95% Confidence Interval of the Difference Lower Upper
