BAB V KESIMPULAN DAN SARAN
B. Saran
1. Dilakukan penelitian lanjutan mengenai pengukuran body fat percentage pada
anak-anak.
2. Dilakukan pengukuran body fat percentage menggunakan parameter skinfold
thickness yang lebih banyak lagi.
3. Adanya hasil berupa korelasi positif yang bermakna dan berkekuatan sedang
antara body fat percentage dan rasio kolesterol total/HDL, maka mahasiswa
dapat menggunakan rasio kolesterol total/HDL sebagai prediktor gangguan
DAFTAR PUSTAKA
American Heart Association, 2011, Asian & Cardiovascular Disease,
http://www.heart.org/idc/groups/heartpublic/@wcm/@sop/@smd/docum ents/downloadable/ucm_319570.pdf, diakses tanggal 8 Januari 2013
American Heart Association, 2012, What Your Cholesterol Level Mean,
http://www.heart.org/HEARTORG/Conditions/Cholesterol/AboutCholest erol/What-Your-Cholesterol-Levels-Mean_UCM_305562_Article.jsp, diakses tanggal 18 Agustus 2012.
Ahmad, R., Rahman, S.U., Zaman, F.U., and Jan, S., 2011, Percent Body Fat and
Its Relationship With Obesity and Hypertension in Adult Population of
Mingora Swat,Gomal Journal of Medical Sciences, 9(1), 120.
Aniteli, T.M., Florindo, A.A., and Martini, L.A., 2006, Development of an Equation For Measurement of Body Fat Mass of Elderly Women with Osteoporosis or Osteopenia Through Skinfold Thickness Using Dual
Energy X-ray Absorptiometry As a Reference, Rev Bras Med Esporte, 12
(6), 327.
Aurora, M.A, Koley, S., Gupta, S., and Sandhu, J.S., 2007, Study on Lipid Profile and Body Fat in Patients with Diabetes Mellitus, Anthropologist, 9(4), 297.
Barter, P., Gotto, A.M., Phil, D., Larosa, J.C., Maroni, J., Szarek, M., et al., 2007, HDL Cholesterol, Very Low Levels of LDL Cholesterol, and Cardiovascular Events, The New England Journal of Medicine, 357;13, 1.302.
Baumagartner, T.A., Jackson, A.S., Mahan, M.T., and Rowe, D.A., 2007,
Measurement for Evaluation, Avenue of The America, pp. 325.
Bedard, A., Dodin, S., Corneau, L. and Lemieux, S., 2012, The Impact of Abdominal Obesity Status on Cardiovascular Response to the Mediterranean Diet, Journal of Obesity,2012, 1.
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.
Bischof, M., Knechtle, B., Rust, C.A., Knechtle, P., and Rosemann, T., 2012, Changes in Skinfold Thicknesses and Body Fat in Ultra-endurance Cyclists, Asian Journal of Sports Medicine, 4(10), 3.
Bodhe, C., Jankar, D., Bhutada, T., Patwardhan, M., and Patwardhan, M., 2011,
HBA1C: Predictor of Dyslipidemiaan and Atherogenicity in Diabetes
Mellitus, International Journal of Basic Medical Science, 2(5), 278.
Chang, C.J., Wu, C.H., Yao, W.J., Yang, Y.C., Wu, J.S., and Lu, F.H., 2000, Relationships of Age, Menopause and Central Obesity on Cardiovascular
Disease Risk Factors in Chinese Women, International Journal of
Obesity, 2000(24), 1.699, 1.701.
Choi, J.W., Pai, S.H., and Kim, S.K., 2002, Associations Between Total Body Fat
and Serum Lipid Concentrations in Obese Human Adolescents, Annals of
Clinical & Laboratory Science, 32(3),274.
Chrzanowska, M., Sobiecki, J., Kowal, M., Kosciuk, T., and Matusik, S., 2006, Is There a Relationship Between Body Build and The Serum Level of Cholesterol And Triglycerides in Women?, Przegląd Antropologiczny- Anthropological Review, 2006(69), 37-38.
Cyrino, E.S, Okano, A., Glaner, M.F., Romanzini, M., Gobbo, L.A., Makoski, A.,
et al, 2003, Impact of The Use of Different Skinfold Calipers For The Analysis of The Body Composition, Rev Bras Med Esporte, 9(3), 150.
Dahlan, M.S., 2009, Statistika untuk Kedokteran dan Kesehatan, Edisi 4, Salemba Medika, Jakarta, pp. 4, 13, 62, 169.
Daud, W.N.W., Muda, W.A.M.W., and Abdullah, M.R., 2009, Body Mass Index
and Body Fat Status of Men Involved in Sports, Exercise, and Sedentary Activites, Malaysian Journal of Medical Sciences , 16(2), 24.
Demura, S., and Sato, S., 2007, Suprailiac or Abdominal Skinfold Thickness Measured with a Skinfold Caliper as a Predictor of Body Density in Japanese Adults, Tohoku J. Exp. Med, 213(1), 51-62.
Dennison, E.M., Syddall, H.E., Sayer, A.A., Martin, H.J., and Cooper, C., 2007, Lipid Profile, Obesity and Bone Mineral Density: The Hertfordshire Cohort Study, Q J Med, 2007(100), 300.
Departemen Kesehatan Republik Indonesia, 2011, Uji Fungsi Alat Kimia Klinis dan Hematologi,http://www.depkes.go.id/download/yandu/uji_fungsi_ alat_kimia_klinis_dan_hematologi.pdf, Departemen Kesehatan Republik Indonesia, diakses tanggal 10 Mei 2012.
Despres, J.P., 2006, Abdominal Obesity: The Most Prevalent Cause of The
Metabolic Syndrome and Related Cardiometabolic Risk,European Heart
Journal, 8 (Supplement B), B4–B5.
Duggan, C., Watkins, J.B., and Walker, A., 2008, Nutrition in Pediatrics, Forth Edition, BC Decker, Inc., pp. 10.
Elias, M.C., Bolívar, M.S.M., Fonseca, F.A.H., Martinez, T.L.R., Angelini, J., Ferreira, C., et al., 2004, Comparison of The Lipid Profile, Blood Pressure, and Dietary Habits of Adolescents and Children Descended From Hypertensive and Normotensive Individuals, Arquivos Brasileiros de Cardiologia, 82(2), 145.
Ehtisham, S., Crabtree, N., Clark, P., Shaw, N., and Barrett, T., 2005, Ethnic Differences in Insulin Resistance and Body Composition in United
Kingdom Adolescents, The Journal of Clinical Endocrinology &
Metabolism, 90(7), 3.965.
Fisac, C., Virgili, N., Ferrer, E., Barbera, M.J., and Fumero, E., 2003, A Comparison of the Effects of Nevirapine and Nelfinavir on Metabolism and Body Habitus in Antiretroviral-Naive Human Immunodeficiency
VirusInfected Patients: A Randomized Controlled Study, The Journal of
Clinical Endocrinology & Metabolism, 88(11), 5.190.
Freedman, D.S., Khan, L.K., Dietz, W.H., Srinivasan, S.R., and Berenson, G.S., 2001, Relationship of Childhood Obesity to Coronary Heart Disease Risk Factors in Adulthood: The Bogalusa Heart Study, Pediatrics, 108(3), 716.
Garg, S., Vinutha, S., Karthiyanee, K., and Nachal, A., 2012, Relation Between Anthropometric Measurements and Serum Lipid Profile Among Cardio-Metabolically Healthy Subjects: A Pilot Study, Indian Journal of Endocrinology and Metabolism, 16(5), 858.
Ghahramanloo, E., Midgley, A.W., and Bentley, D.J., 2009, The Effect of
Concurrent Training on Blood Lipid Profile and Anthropometrical
Characteristics of Previously Untrained Men, Journal of Physical Activity
and Health, 2009(6),764.
Gharakhanlou, R., Farzad, B., Alinejad, H.A., Steffen, L.M., and Bayati, M., 2012, Anthropometric Measures as Predictors of Cardiovascular Disease Risk Factors in the Urban Population of Iran, Arq Bras Cardiol, 98(2), 130.
Ghorbanian, B., 2012, Relation Between Anthropometric Indicators and Serum Lipid Profile as Cardiovascular Risk Factors Personals of Iranian
Azarbayjan University of Shahid Madan, European Journal of Sports and
Exercise Science,1(3), 54.
Gibney, M. J., Elia, M., Ljungqvist, O., and Dowsett, J., 2005, Clinical Nutrition, Blackwell Publishing, USA, pp. 20.
Gibson, R.S., 2005, Principles of Nutritional Assessment, Second Edition, Oxford University Press Inc., New York, pp. 274-275.
Gillum, R.F., and Sempos, C.T., 2003, Serum Total Cholesterol And Coronary Heart Disease In African American Women, The Internet Journal of Epidemiology, 1(1), 14.
Going, S.B., Lohman, T.G., Cussler, E.C., Williams, D.P., Morrison, J.A., and
Horn, P.S., 2011, Percent Body Fat and Chronic Disease Risk Factors in U.S. Children and Youth, American Journal of Preventive Medicine, 41(4S2), S77, BS82.
Hassan, N.E., El-Masry, S.A., Banna, R.A., Sallam, M., El-Din, A.M.S, Ibrahim, T.S., et al, 2010, Assessment of Body Composition, Fat Distribution and Serum Lipid Profile in Obese School Children, Journal of American Science, 6(12), 1.214.
Hassan, N.E., El-Masry, S.A., Soliman, N.L., El-Batran, M.M., Al-Tohamy, M.,
El-Batrawy, S.R., et al., 2012, Association between Anthropometric Parameters and Cardio-Metabolic Disease Risk Factors Among Obese
Children and Adolescents, Macedonian Journal of Medical Sciences,
5(2):155-156.
Jain, N., and Koley, S., 2009, A Study of Correlation between Intra-abdominal Fat and Lipid Profiles and Some Anthropometric Parameters in Vegetarian and Non-vegetarian Middle Aged Women of Jabalpur, Madhya Pradesh, Anthropologist, 11(2), 77, 78.
Jaworski, M., Kułaga, Z., Płudowski, P., Grajda, A., Gurzkowska, B., Napieralska, E., et al, 2012, Population-Based Centile Curves For Triceps, Subscapular, and Abdominal Skinfold Thicknesses in Polish Children and Adolescents—the OLAF Study, Eur J Pediatr (2012) 171, 1215.
Junior, H.L.R., Scelza, M.F.Z., Boaventura, G.T., Custodio, S.M., Moreira, E.A.M., and Oliveira, D.L., 2010, Relation Between Oral Health and Nutritional Condition in The Elderly, J Appl Oral Sci, 20(1),38.
Kamath, A., Nandini, M., Kedilaya, H.P., and D’Souza, V., 2005, Relation of
Anthropometry to CVD Risk Factors in Young Obese Women, 16(2), Biomedical Research, 139.
Kapoor, S., Verma, D., Bhasin, P., Dhall, M., and Bhardwaj, S., 2012, Skinfolds as Prognosticators of Nutritional Status among Adult Undernourished Males of India, International Journal of Sociology and Anthropology, 4(9), 264.
Kriemler, S., Puder.J., Zahner, L., Roth, R., Meyer, U., and Bedogni, G., 2010, Estimation of Percentage Body Fat in 6 to 13 Year Old Children by Skinfold Thickness, Body Mass Index and Waist Circumference, British Journal of Nutrition, 104(10), 1.
Kuzawa, C.W., Adair, L.S., Avila, J.L., Cadungog, J.H.C., and Le, N., 2003, Atherogenic Lipid Profiles in Filipino Adolescents With Low Body Mass
Index and Low Dietary Fat Intake, American Journal of Human Biology,
15, 692.
Lamb, M.M., Ogden, C.L., Carroll, M.D., Lacher, D.A., and Flegal, K.M., 2011,
Association of Body fat Percentage with Lipid Concentrations in Children and Adolescents: United States, 1999–2004, Am J Clin Nutr, 2011(94), 878, 882.
Lemieux, I., Benoit, L., Couillard, C., Pascot, A., Cantin, B., Bergeron, J., et al., 2001, Total Cholesterol/HDL Cholesterol Ratio vs LDL Cholesterol/HDL Cholesterol Ratio as Indices of Ischemic Heart Disease Risk in Men : The
Quebec Cardiovascular Study, Arch Intern Med, 161, 2685-2691.
Macintyre, Z.R.C., Lohman, T.G., Rosen, J., and Peters, W., 2000, Weight Loss is
Correlated with an Improved Lipoprotein Profile in Obese
Postmenopausal Women, Journal of the American College of Nutrition, 19(2), 281.
Mackenzie, B., 2002, Yuhasz Skinfold Test, http://www.brianmac.co.uk, diakses tanggal 18 November 2012.
Malina, R.M., Bouchard, C., and Bar-Or, O., 2004, Growth, Maturation, and Physical Activity, Human Kinetics, United States of America, pp. 45.
Maphephu, S.M., and Kasvos, I., 2011, Reference Intervals For Serum Total Cholesterol, HDL Cholesterol And Non-HDL Cholesterol in Batswana Adults, S Afr Med J, 101(8), 546.
Marquette General Health System, 2010, Healthy Hints: Understanding Your
Cholesterol Numbers,
http://ww4.mgh.org/nutritionMed/Shared%20Documents/HHYourChol.p df, diakses tanggal 19 November 2012.
Mataix, J., Frıas, M.L., Victoria, E.M., Jurado, M.L., Aranda, P., and Llopis, J., 2005, Factors Associated with Obesity in an Adult Mediterranean Population: Influence on Plasma Lipid Profil, Journal of the American College of Nutrition, 24(6), 460.
McDowell, M.A., Fryar, C.D., Ogden, C.L., and Flegal, K.M., 2008,
Anthropometric Reference Data for Children and Adults, National Health Statistics Reports, Department of Health and Human Services, United States of America, pp. 1.
Moreno, L.A., Pigeot, I., Ahrens, W., 2011, Epidemiology of Obesity in Children
and Adolescents: Prevalence and Etiology, Springer Science+Business Media, LLC, London, pp. 27.
Narayanan, D., Kahal, H., Mohammed, K., and Kilpatrick, E.S., 2012, A
Reversible Rise in The Total Cholesterol to HDL Ratio in a Body Builder, British Journal of Diabetes & Vascular Disease, 12(4), 200.
National Heart, Lung, and Blood Institute, 2005, High Blood Cholesterol: What
You Need To Know,
http://www.nhlbi.nih.gov/health/public/heart/chol/wyntk.pdf, diakses
tanggal 18 Agustus 2012.
National Institute of Health., 2008, Understanding Adult Obesity,
http://win.niddk.nih.gov/publications/PDFs/understandingobesityrev.pdf, diakses pada tanggal 3 Mei 2012.
National Obesity Obsevatory, 2009, Obesity and Overweight Surveillance in England: What Is Measured and Where Are The Gaps?, http://www.noo.org.uk/uploads/doc/vid_4483_Obesity_surveillance_data _-_Final_draft_12_11_09.pdf, diakses tanggal 18 November 2012.
Notoatmodjo, S., 2010, Metodologi Penelitian Kesehatan, Edisi Revisi, Rineka Cipta, Jakarta, pp. 37-38, 124-125.
Novaes, J.F., Franceschini, S.C.C., and Priore, S.E., 2007, Comparison of the Anthropometric and Biochemical Variables between Children and Their Parents, Archivos Latino, Americanos, de Nutricion, 57(2), 140.
Omidi, M., Yousefi, M., Ahmadi, M., and Farzanfard, F., 2012, An Investigation of The Relationship Between Cardiorespiratory Fitness and Body Fat With Coronary Risk Factors in Adolescent Girls, Annals of Biological Research, 3 (6), 2.976-2.977.
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.
Pereira, A.F., Santos, M.D.B., Cicogna, A.C., Padovani, C.R., Soares, E.A., and
Burini, R.C., 2002, Detection of Altered Risk Factors in Hospitalized Patients with Coronary Artery Disease, Arq Bras Cardiol, 79(3), 267.
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.
Prasad, D.S., Kabir, Z., Dash, A.K., and Das, B.C., 2011, Childhood
Cardiovascular Risk Factors in South Asians: A Cause of Concern for Adult Cardiovascular Disease Epidemic, Ann Pediatr Cardiol., 4(2), 166.
Preedy, V. R., 2012, Handbook of Anthropometry, Volume 1, Part 1-6, Springer
Science+Business Media, New York, pp. 1.260, 1.418.
Rexhepi, A.M., and Brestovci, B., 2010, The Differences in Body Volume and Skinfold Thickness Between Basketball Players and Footballers, Int. J. Morphol, 28(4), 1069.
Sampaio, L.R., Simoes, E.J., Assis, A.M.O., and Ramos, L.R., 2007, Validity and Reliability of the Sagittal Abdominal Diameter as a Predictor of Visceral Abdominal Fat, Arq Bras Endocrinol Metab, 51(6), 981.
Saritas, N., 2012, Effect of Endurance Exercise Training on Blood Lipids in
Young Men, African Journal of Pharmacy and Pharmacology, 6(3), 218.
Schneider, C.M., Dennehy, C.A., and Carter, S.D., 2003, Exercise and Cancer Recovery, Human Kinetics Publisher, Inc., United States of America, pp 61.
Shah, N.R., and Braverman, E.R., 2012, Measuring Adiposity in Patients: The Utility of Body Mass Index (BMI), Percent Body Fat, and Leptin, Plos One 7(4), 1.
Sicar, S., 2008, Principles of Medical Physiology, Thieme, United States of America, pp. 477.
Timby, B.K., 2009, Fundamental Nursing Skills And Concepts, Ninth Edition, Lippincott Williams & Wilkins, United States of America, pp. 299.
Toth, P.P., 2004, High-Density Lipoprotein and Cardiovascular Risk, Journal of The American Heart Association, 109(15), 1809.
United Health Care, 2011, Biometric Screenings Tip Sheet
http://www.hialeahfl.gov/dep/risk/pdf/Biometric%20screening%20tip%2 0sheet.pdf, diakses tanggal 19 November 2012.
Uranga, R.M., and Keller, J.N., 2010, Diet and Age Interactions with Regards to
Cholesterol Regulation and Brain Pathogenesis, Current Gerontology and
Geriatrics Research, 2010, pp. 1,2.
Utami, N.E., 2012, Korelasi BMI dan Abdominal Skinfold Thickness Terhadap Rasio Kolesterol Total/HDL Pada Staf Wanita Universitas Sanata Dharma, Skripsi, 55-60, 64, Universitas Sanata Dharma, Yogyakarta.
Wajchenberg, B.L., 2000, Subcutaneous and Visceral Adipose Tissue : Their
Relation To The Metabolic Syndrome, Endocrine Reviews, 21(6), 697.
World Health Organization, 2004, Obesity: Preventing and Managing The Global
Epidemic, WHO Consultant, pp. 6.
World Health Organization, 2012, Obesity and Overweight,
http://www.who.int/mediacentre/factsheets/fs311/en/index.html, diakses tanggal 11 September 2012.
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.
Yusof, H.M.,, Ching, T.S., Ibrahim, R., and Lola, S., 2007, Anthropometric Indices and Life Style Practices of The Indigenous Orang Asli Adults in Lembah Belum, Grik of Peninsular Malaysia, Asia Pac J Clin Nutr, 16 (1),53.
Zeng, Q., Dong, S.Y., Sun, X.N., Xie, J., and Cui, Y., 2012, Percent Body Fat is a Better Predictor of Cardiovascular Risk Factors than Body Mass Index,
Brazilian Journal of Medical and Biological Research, 45(7), 591, 592.
Lampiran 3. Informed Consent
SuratPersetujuan (Informed Consent)
Yang bertandatangan di bawah ini:
Nama :
Usia :
Alamat :
Menyatakanbahwa:
1. Saya telah mendapatkan penjelasan mengenai penelitian ―Korelasi
Pengukuran Antropometrik Terhadap Profil Lipid, Kadar hs-CRP, Kadar Glukosa Darah, danTekanan Darah Pada Mahasiswa dan Mahasiswi
Kampus III Universitas Sanata Dharma Yogyakarta‖.
2. Setelah saya memahami penjelasan tersebut, dengan penuh kesadaran dan
tanpa paksaan dari siapapun, saya bersedia ikut berpartisipasi dalam penelitian ini dengan kondisi:
a. Secara sukarela bersedia untuk berpuasa selama 8 – 10 jam dan diambil darahnya serta digunakan catatan mediknya guna kepentingan penelitian.
b. Data yang diperoleh dari penelitian ini akan dijaga kerahasiaannya dan hanya digunakan untuk kepentingan ilmiah.
3. Apabila saya inginkan, saya boleh memutuskan keluar dan tidak
berpartisipasi lagi dalam penelitian ini tanpa menyatakan alasan apapun. Demikian pernyataan ini saya buat sejujur-jujurnya tanpa paksaan dari pihak manapun dan penelitian ini dapat memberikan manfaat kepada saya sebagai suatu tindakan deteksi dini untuk kesehatan pribadi diri saya.
Yogyakarta, ………...
Saksi Yang membuat pernyataan
Lampiran 4. Leaflet
A. Halaman Depan
Lampiran 5. Data validasi alat Validasi skinfold caliper Abdominal Skinfold Thickness (mm)
Mean (mm) SD CV (%)
Pria Wanita Pria Wanita Pria Wanita Pria Wanita
25 25 24,8 25,3 0,27 0,27 1,09% 1,07% 24,5 25 24,5 25,5 25 25,5 25 25,5 Triceps Skinfold Thickness (mm) Mean (mm) SD CV (%)
Pria Wanita Pria Wanita Pria Wanita Pria Wanita
14,5 14,5 14,4 14,5 0,22 0 0,37% 0 14 14,5 14,5 14,5 14,5 14,5 14,5 14,5 Suprailiac Skinfold Thickness (mm) Mean (mm) SD CV (%)
Pria Wanita Pria Wanita Pria Wanita Pria Wanita
20 19,5 20,2 19,9 0,27 0,42 1,34% 2,11% 20,5 20 20 19,5 20 20 20,5 20,5
Lampiran 6. Kartu Pemeriksaan Responden Nama Usia NIM Prodi Jenis Kelamin Berat Badan (kg) Tinggi Badan (cm)
Abdominal Skinfold Thickness (mm)
Triceps Skinfold Thickness (mm)
Suprailiac Skinfold Thickness (mm) Lingkar Pinggang (cm)
Lingkar Panggul (cm) Tekanan Darah (mmHg)
Lampiran 9. Data Statistika
A. Data Normalitas Usia, Abdominal Skinfold Thickness, Triceps Skinfold
Thickness, Suprailiac Skinfold Thickness, Body Fat Percentage, Kolesterol
Total, HDL, dan Rasio Kolesterol Total/HDL
Data Normalitas Usia Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent Usia Responden 58 100.0% 0 .0% 58 100.0%
Descriptives
Statistic Std. Error
Usia Responden Mean 20.31 .186
95% Confidence Interval for Mean Lower Bound 19.94 Upper Bound 20.68 5% Trimmed Mean 20.27 Median 21.00 Variance 2.007 Std. Deviation 1.417 Minimum 18 Maximum 24 Range 6 Interquartile Range 2 Skewness -.040 .314 Kurtosis -.199 .618 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Usia Responden .221 58 .000 .912 58 .000
a. Lilliefors Significance Correction
Data Normalitas Usia Responden Wanita
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Descriptives
Statistic Std. Error
Usia Responden Mean 19.84 .145
95% Confidence Interval for Mean Lower Bound 19.55
Upper Bound 20.13 5% Trimmed Mean 19.82 Median 20.00 Variance 1.412 Std. Deviation 1.188 Minimum 18 Maximum 22 Range 4 Interquartile Range 2 Skewness -.175 .293 Kurtosis -.882 .578 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Usia Responden .212 67 .000 .896 67 .000
a. Lilliefors Significance Correction
Data Normalitas Abdominal Skinfold Thickness Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Abdominal Skinfold Thickness 58 100.0% 0 .0% 58 100.0%
Descriptives
Statistic Std. Error
Abdominal Skinfold Thickness Mean 30.8791 2.19991
95% Confidence Interval for Mean Lower Bound 26.4739
Upper Bound 35.2844 5% Trimmed Mean 30.3585 Median 30.6700 Variance 280.698 Std. Deviation 1.67540E1 Minimum 6.00 Maximum 79.33 Range 73.33 Interquartile Range 29.04 Skewness .388 .314 Kurtosis -.380 .618 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Abdominal Skinfold Thickness .079 58 .200* .953 58 .025
a. Lilliefors Significance Correction
Data Normalitas Abdominal Skinfold Thickness Responden Wanita
Cases
Valid Missing Total
N Percent N Percent N Percent
abdominal SFT 67 75.3% 22 24.7% 89 100.0%
Descriptives
Statistic Std. Error
abdominal SFT Mean 25.4363 .94762
95% Confidence Interval for Mean Lower Bound 23.5443
Upper Bound 27.3282 5% Trimmed Mean 25.1920 Median 24.6700 Variance 60.165 Std. Deviation 7.75658 Minimum 9.83 Maximum 52.00 Range 42.17 Interquartile Range 9.33 Skewness .653 .293 Kurtosis 1.534 .578 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
abdominal SFT .128 67 .009 .961 67 .033
a. Lilliefors Significance Correction
Data Normalitas Triceps Skinfold Thickness Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
tricep sampel 58 100.0% 0 .0% 58 100.0%
Descriptives
Statistic Std. Error
tricep sampel Mean 25.6810 1.40565
95% Confidence Interval for Mean Lower Bound 22.8663
Upper Bound 28.4958 5% Trimmed Mean 25.5773 Median 24.1700 Variance 114.599 Std. Deviation 1.07051E1 Minimum 5.67 Maximum 47.33 Range 41.66 Interquartile Range 17.66 Skewness .229 .314 Kurtosis -.976 .618
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
tricep sampel .123 58 .028 .964 58 .086
a. Lilliefors Significance Correction
Data Normalitas Triceps Skinfold Thickness Responden Wanita
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Triceps Skinfold Thickness 67 75.3% 22 24.7% 89 100.0%
Descriptives
Statistic Std. Error
Triceps Skinfold Thickness Mean 21.3484 .77072
95% Confidence Interval for Mean Lower Bound 19.8096
Upper Bound 22.8872 5% Trimmed Mean 21.0774 Median 21.3300 Variance 39.799 Std. Deviation 6.30862 Minimum 9.67 Maximum 44.17 Range 34.50 Interquartile Range 8.17 Skewness .696 .293 Kurtosis 1.697 .578 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Triceps Skinfold Thickness .091 67 .200* .960 67 .031
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Data Normalitas Suprailiac Skinfold Thickness Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Descriptives
Statistic Std. Error
Suprailiac Skinfold Thickness Mean 27.8821 1.88692
95% Confidence Interval for Mean Lower Bound 24.1036
Upper Bound 31.6606 5% Trimmed Mean 27.3484 Median 25.5800 Variance 206.508 Std. Deviation 1.43704E1 Minimum 6.17 Maximum 60.83 Range 54.66 Interquartile Range 23.46 Skewness .413 .314 Kurtosis -.694 .618 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Suprailiac Skinfold Thickness .094 58 .200* .956 58 .035
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Data Normalitas Suprailiac Skinfold Thickness Responden Wanita
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Descriptives
Statistic Std. Error
Suprailiac Skinfold Thickness Mean 18.0976 .88194
95% Confidence Interval for Mean Lower Bound 16.3368
Upper Bound 19.8585 5% Trimmed Mean 17.6785 Median 17.1700 Variance 52.114 Std. Deviation 7.21897 Minimum 6.67 Maximum 38.83 Range 32.16 Interquartile Range 9.84 Skewness .757 .293 Kurtosis .458 .578 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Suprailiac Skinfold Thickness .083 67 .200* .956 67 .018
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Data Normalitas Body Fat Percentage Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
% Body Fat 58 100.0% 0 .0% 58 100.0%
Descriptives
Statistic Std. Error
% Body Fat Mean 22.0390 1.11042
95% Confidence Interval for Mean Lower Bound 19.8154
Upper Bound 24.2625 5% Trimmed Mean 22.2411 Median 22.9550 Variance 71.516 Std. Deviation 8.45673 Minimum 4.80 Maximum 34.87 Range 30.07 Interquartile Range 15.65 Skewness -.313 .314 Kurtosis -1.131 .618 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
% Body Fat .103 58 .195 .943 58 .009
Data Normalitas Body Fat Percentage Responden Wanita
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
% Body Fat 67 75.3% 22 24.7% 89 100.0%
Descriptives
Statistic Std. Error
% Body Fat Mean 26.6069 .60893
95% Confidence Interval for Mean Lower Bound 25.3911
Upper Bound 27.8226 5% Trimmed Mean 26.5669 Median 26.7900 Variance 24.844 Std. Deviation 4.98434 Minimum 14.90 Maximum 39.66 Range 24.76 Interquartile Range 5.47 Skewness .078 .293 Kurtosis .130 .578 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
% Body Fat .077 67 .200* .991 67 .901
a. Lilliefors Significance Correction *. This is a lower bound of the true significance.
Data Normalitas Kolesterol Total Responden Pria
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Kolesterol total 58 100.0% 0 .0% 58 100.0%
Descriptives
Statistic Std. Error
Kolesterol total Mean 1.7305E2 3.88744
95% Confidence Interval for Mean Lower Bound 1.6527E2
Upper Bound 1.8084E2
5% Trimmed Mean 1.7392E2
Median 1.7450E2 Variance 876.506 Std. Deviation 2.96058E1 Minimum 98.00 Maximum 227.00 Range 129.00 Interquartile Range 40.25 Skewness -.407 .314 Kurtosis -.192 .618
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Kolesterol total .071 58 .200* .979 58 .408
a. Lilliefors Significance Correction
*. This is a lower bound of the true significance.
Data Normalitas Kolesterol Total Responden Wanita
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Kolesterol Total 67 75.3% 22 24.7% 89 100.0%
Descriptives
Statistic Std. Error
Kolesterol Total Mean 1.7793E2 3.27893
95% Confidence Interval for Mean Lower Bound 1.7138E2