Berawi K. N, Hadi S, Lipoeto N. I, Wahid I, Jamsari J. Dyslipidemia Incidents Between General Obesity and Central Obesity of Employees with Obesity at Universitas Lampung. Biomed Pharmacol J 2018;11(1).
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Dyslipidemia Incidents Between General Obesity and Central Obesity of Employees with Obesity at Universitas Lampung

Khairun Nisa Berawi1, Sutopo Hadi2, Nur Indrawati Lipoeto3, Irza Wahid3 and Jamsari4  

1Departement of Physiology,Medical Faculty, Universitas Lampung, Jl. S. Brojonegoro No. 1 Gedong meneng Bandar Lampung, 35145 Indonesia.

2Departement of Chemistry, Faculty of Mathematics and Natural of Sciences, Universitas Lampung, Jl. S. Brojonegoro No. 1 Gedong meneng Bandar Lampung, 35145 Indonesia.

3Faculty of Medicine, University of Andalas, Jl. Perintis Kemerdekaan, Jati Baru, Padang, 25129, Indonesia.

4Faculty of Agriculture, University of Andalas, KampusLimauManis,Padang, 25163, Indonesia.

Correspoding Author  E-mail:


This study aims to determine the differences in the incidence of dyslipidemia between general obesity and central obesity in adult male employees having obesity at the Universitas Lampung. This research used cross sectional observation method. The study was conducted from August to October 2016. The respondent populations involved in this study were 33 male adult employees for each obesity group. Samples were taken by consecutive sampling technique. The results revealed that the average age of the respondents were 42.9 years, where 23 respondents (34.8 %) of the respondents were suffered from dyslipidemia. The result of unpaired T test showed that there was a significant difference of dyslipidemia incidence between general obesity and central obesity in adult male employees with obesity at Universitas Lampung in 2016 with p value of 0.039. Bivariate analysis showed that central obesity has a role in increasing the incidence of dyslipidemia greater than general obesity.


Central Obesity; Dyslipidemia; General Obesity

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Berawi K. N, Hadi S, Lipoeto N. I, Wahid I, Jamsari J. Dyslipidemia Incidents Between General Obesity and Central Obesity of Employees with Obesity at Universitas Lampung. Biomed Pharmacol J 2018;11(1).

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Berawi K. N, Hadi S, Lipoeto N. I, Wahid I, Jamsari J. Dyslipidemia Incidents Between General Obesity and Central Obesity of Employees with Obesity at Universitas Lampung. Biomed Pharmacol J 2018;11(1). Available from:


Obesity is an excessive accumulation of body fat or abnormal tissue caused by an imbalance between food intake and food output that can cause health problems.1The prevalence of obesity is increasing every year in various countries. Currently it is estimated that more than 100 million people of the world suffered from obesity.2 Lifestyle changes that have grown in Indonesia make the incidence of obesity increases from year to year despite the fact that Indonesia is a developing country.3

The World Health Organization estimates that in the world there are about 1.6 billion adults over 15 years of age overweight and at least as many as 400 million obese adults in 2005,4 and it is estimated that more than 700 million adults will obese by 2015. The prevalence of overweight in developed countries ranges from 23.3 percent in Japan to 66.3 percent in the United States of America (USA), whereas in developing countries it ranges from 13.4 percent in Indonesia to 35.6 percent in Saudi Arabia.5,6 Basic Health Research (Riskesdas) data in the year 2013 in Indonesia showed a prevalence of central obesity of 19.7% in adult men aged over 18 years and the prevalence of central obesity of 26.6% in adult men aged over 15 years.3

The highest prevalence in 2013 of obesity was found in North Sumatera at 34.7% and prevalence of central obesity was found in the city of DKI Jakarta by at 39.7% percent in men with waist circumference ˃ 90 cm. The prevalences of central obesity in Lampung were 20% in men and women.3 The risk associated with obesity is not just about the amount of fat but distribution that determines the risk associated with cardiovascular risk factors of the Metabolic Syndrome.1 Abdominal or visceral fat or central obesity is associated with increased of incidence of cardiovascular risk factors. The morbidity includes Type 2 diabetes, impaired glucose tolerance, and hypertension and dyslipidemia.7-9Dyslipidemia is the accumulation of one or more lipids in the plasma, as a manifestation of lipid transport metabolism abnormalities in obesity. Clinically, dyslipidemia is expressed as hypertriglyceridemia, an increase in LDL-cholesterol and/or decreased HDL-cholesterol.10-11

Research conducted by Zelzer et al. on the association of obesity with dyslipidemia suggested that obesity is associated with dyslipidemia.12 Seibert et al. reported a correlation of visceral fat measurement with the risk of cardiovascular disease.13 The disregulation metabolic in dyslipidemia will mobilize free fatty acids. Lipolytic activity that occurs in central obese people contributes more to the occurrence of dyslipidemia than general obesity. The free fatty acids (FFAs) derived from adipocytes especially from viscera or ectopic fat induce the activation of the NF-kB pathway and in the end, contribute to the synthesis and production of inflammatory cytokines such as TNF-α. Cross-talk between adipocytes and macrophage will then promote positive feedback loop and results in amplification of a detrimental metabolic response. The highest CRP level as an inflammation marker was found in individual with obesity visceral. Another inflammatory cytokines were found, IL-6 and macrophage chemo attractant protein-1 (MCP-1), and developing of the inflammation state in obesity and central obesity will contribute to increase the risk of cardiovascular disease in patient.11, 14-16

Based on the above description and fact, then formulated the research question is “is there any difference in the incidence of dyslipidemia between general obesity and central obesity in adult male employees with obesity in the environment of the Universitas Lampung in 2016?

Materials and Methods

This research uses laboratory analytic method with cross sectional approach. Analytical research aims to determine the difference of incidence of dyslipidemia between general obesity and central obesity in adult male employees with obesity at the Universitas Lampung. The populations used in this study were male adult employees with obesity in the Universitas Lampung. The total numbers of samples of this study were 66 respondents consisting of 33 respondents form each obesity groups with purposive sampling technique.

The inclusion criteria in the study were obese people, male respondents around the Universitas Lampung aged 35-55 years, met the obesity criteria (BMT> 30 kg/m2) and were willing to follow the research procedure and signed the informed consent. While the exclusion criteria include being on a diet program, using a corticosteroid medication or taking cholesterol drugs, having adrenal tumor or thyroid tumor disease, or having mass in the abdominal area and pelvic cavity.

Obesity variable is divided into central and general obesity. Central obesity is seen based on pelvic hip ratio (RLPP) or waist circumference, while general obesity is seen from body mass index (BMI). An abdominal anthropometric measurement was performed by measuring the circumference of the stomach through the middle of the iliac crest with the lower ribs horizontally and the hip circumference measuring through the middle of the anterior superior iliac spine horizontally. Central obesity is defined when RLPP is greater than 0.90 in males. Body mass index (BMI) is measured using the formula of body weight in kilograms divided by the square of height in meters. General obesity is defined with BMI over 24.9 kg / m2. The variables of dyslipidemia are characterized by abnormalities of one or more lipid profiles, increase in LDL cholesterol and triglyceride and decrease of HDL cholesterol. Both variables are then tested statistically using chi square test.


The research was conducted at the Universitas Lampung during August-October 2016.The subject was 30 male respondents for each central and general obesity group. The age of respondents was in the range of 35-55 years with average age of 42.9 years. From each obesity group, it is known that the average age of respondents that suffer from central obesity were 43.3 + 5.4 years; while the respondents suffering from general obesity were 42.8 + 4.8 years (Table 1).

Table 1: Characteristics of age-based responders in adult male employees with obesity in the Universitas Lampung in 2016

Age Mean Mininum Maximum
Central Obesity 43.3 years 35 years 55 years
General Obesity 42.8 years 35 years 51 years


Table 2: Characteristics of respondents based on elevated LDL-cholesterol (LDL-chol) and triglyceride levels and decline HD-choleseterol (HDL-chol) in male adult employees with obesity in the environment of the Universitas Lampung in 2016

No Lipid profile Obesity n=66
Central  n= 33 (%) General n= 33 (%)
1 LDL-Chol Increase 51.2 46.1
Normal 48.8 53.9
2 Tryglyseride Increase 66.5 40.8
Normal 33.5 59.2
3 HDL-chol Decrease 57.1 50.6
Normal 42.9 49.4


Diagnostic of dyslipidemia is based on two of more abnormalities measurement of elevated of LDL-cholesterol and triglyceride levels and declined of HDL-cholesetrol. From measurement laboratory data were found men there were no significant prevalences of dyslipidemia in men with general obesity but men with central obesity have more tendencies to get dyslipidemia than central obesity.

Table 3: Characteristics of respondents based on the incidence of central and general obesity

Obesity Frequency (n=66) Percentage (%)
(+) (-) (+) (-)
Central 16 17 48.5 51.5
General 7 26 21.2 78.8
Total 23 43


Table 3 shows that respondents who have dyslipidemia of 66 respondents are 23 respondents or 34.8% in all type of obesity and respondents who do not have dyslipidemia about 43 respondents or 65.2%. Thus most of the male adult employees with obesity central and general at the Universitas Lampung does not suffer from dyslipidemia.

Table 3 also shows that respondents who have central obesity that suffered from dyslipidemia were 16 respondents (48.5%) and those who did not suffer from dyslipidemia were 17 respondents (51.5%),while respondents with general obesity who suffered from dyslipidemia were 7 respondents (21.2%) and who did not suffer dyslipidemia were 26 respondents (78.8%). The result indicated that central obesity has a role in increasing the incidence of dyslipidemia greater than general obesity.

Table 4: Chi square test results differences in incidence of dyslipidemia between general obesity and central obesity

Obesity Dyslipidemia incident Total P-Value
Yes No
N % N % N %
Central 16 48.5 17 51.5 33 100 0.039
General 7 21.2 26 78.8 33 100
Total 23 34.8 43 65.2 66 100


The result of chi square test gave p value of 0.039, which means p value is less than α = 0.05, thus it can be concluded that there is a significant difference of incidence of dyslipidemia between general obesity with central obesity in adult male employees with obesity in environment of Universitas Lampung in 2016.


Obesity is an overgrowth of triacylglycerol in fat tissue due to excessive energy intake compared to its use.17 Obesity that persists during a certain period will cause disturbance in fatty acid metabolism which of because of increasing of body fat accumulation especially in visceral cavity that is called dyslipidemia. Dyslipidemia is a condition in which there is a blood lipid profile abnormality characterized by elevated total cholesterol, LDL and triglyceride levels or decreased HDL levels in the blood.18

Obesity has an impact on the emergence of various degenerative diseases. The risk of obesity triggers a fat metabolism disorder early in the fourth decade and increases with age.19 Dyslipidemia occurs at age above 45 years for men.20 Previous study in Chongqing, China revealed that the prevalence and risk factors associated with dyslipidemia increase at age 41 and getting higher with age increase.21

In obese people, there is an increase in total fat in the body. Such body fat deposits can occur in subcutaneous fat (general obesity) and visceral fat (central obesity). Visceral fat is widely present in the abdominal cavity known from the waist circumference. However visceral fats strongly correlate to dyslipidemia compared with subcutaneous fat. There are differences pathophysiology between two kind of adipose tissues, white adipose tissue (WAT) and brown adipose tissue (BAT). Visceral fat in central obesity have more white adipose tissue composition which have greater secretion of cytokines, chemokines and hormone-like proteins. This WAT is also found in the perivascular adipose tissue has a highly active organ secreting inflammatory cytokines such asinterleukin-1, tumor necrosis factor-α, proatherogenic chemokines, and proangiogenic peptide.8,14

Central and general obesities lead to greater abnormalities in the lipid profile of the presence of central or general obesity alone. Significant levels showed higher triglyceride and LDL-C levels, and lower HDL levels in the central obese population with excess BMI. In other words, unfavorable lipid profiles are found along with obesity. This is supported by observations made when comparing the average lipid levels between the four groups classified on the basis of waist circumference criteria and BMI. Groups with normal waist circumference and normal BMI are on the most favorable spectrum of better lipid profile values. In groups with normal waist circumference, BMI increased or the opposite group showed an intermediate lipid profile score between the two extreme groups. Therefore, the presence of both seems to cause more abnormal lipid profiles than the presence of only one of these factors.22

The results of this study in accordance with previous studies of adult population in rural and urban areas in Bali found that the waist circumference is a very good predictor of metabolic syndrome in which the waist circumference is strongly associated with other metabolic syndrome components. Waist circumference is much better used as a predictor of metabolic syndrome compared with BMI. Central obesity is strongly associated with plasma adiponectin levels and is responsible for the incidence of dyslipidemia.23

Central obesity is also associated with a condition where the fat accumulation is in excess especially at visceral abdominal.24 Central obesity relates stronger to the health risk compared to the general obesity25 due to the increase of accumulation composition of excess white adipose tissue (WAT) in visceral fat tissue. Adipocyte cell in WAT produces much of cytokines that are proimflammation and prothrombosis triggering insulin resistance and oxidative stress.26-28 The type of daily activity affecting the intake and usage energy also relates with the risk of obesity.


It was concluded that central obesity and general obesity were risk factors for dyslipidemia. Central obesity is associated with a stronger predictor of dyslipidemia compared with general obesity. There is a significant difference of incidence of dyslipidemia between general obesity and central obesity in adult male employees with obesity in environment of Universitas Lampung in 2016.


KNB is grateful to Faculty of Medicine, Universitas Lampung that provide fund for this project to be undertaken through DIPA research grant 2016  with contract number 539/UN26/LPP/2016, 15 July 2016. Thanks also go to Prof. Dr. dr. Yanwirasti, PA(K), Prof. Dr. dr. Eryati Darwin, PA(K), Dr. dr. Muhartono, SpPA, M.Kes. and Dr. dr Afriwadi, SpKO for their continous support during KNB study.

Conflict of Interest

No conflict of interest associated with this work.


  1. IASO International Association For The Study Of Obesity.The Asia-Pasific perspective: Redefining obesity and its treatment. WHO Western Pasific region in: Report of a WHO Consultation. Geneva Switzerland, (2000).
  2. WHO Consultation. (2000). Obesity : preventing and managing the global epidemic, 894.
  3. Kemenkes RI. Riset Kesehatan Dasar 2012. Jakarta: Balitbangkes Kementrian Kesehatan RI, 2013. (in Indonesian)
  4. WHO. (2008). Waist Circumference and Waist-Hip Ratio Report of a WHO Expert Consultation. World Health organization.
  5. Low, S., Chin, M.C. and Deurenberg-Yap, M. Review on epidemic of obesity. Ann.Acad. Med. Singapore. 2009; 38: 57-65.
  6. Sugianti, E., Hardiansyah andNurfi, A. FaktorRisikoterhadapObesitasSentralpada Orang Dewasa Di DKI Jakarta.AnalisisLanjut Data Risekdas 2013.Indo. J. Clin.Nut., 2009; 32(2): 105-116. (in Indonesian)
  7. National Heart Foundation of Australia.The relationship between overweight , obesity and cardiovascular disease. Australian Institute of Health and Welfare. ISBN: 1740244273, 2004.
  8. Shen, W., Punyanitya, M., Chen, J., Gallagher, D., Albu, J., Sunyer, X. P,, Heymsfield, S. B. Waist Circumference Correlates with Metabolic Syndrome Indicators Better Than Percentage Fat. Obesity (SilverSpring), 2006.14(40), S 727–736.
  9. Musunuru, K. Atherogenic dyslipidemia: Cardiovascular risk and dietary intervention. Lipids. 2010; 45 (10); S. 907–914,
  10. Bjornson, E., Adiels, M., Taskinen, M.R., and Borein, J. Kinetics of plasma triglycerides in abdominal obesity. Curr. Opin. Lipidol., 2017; 28: 11-18
  11. Mathieu, P., Lemieux, I., and Després, J.-P. Obesity , Inflammation , and Cardiovascular Risk. Clin. Pharmacol. Ther. 2010; 87 (4): S. 407–416.
  12. Zelzer, S., Fuchs, N., Almer, G., Raggam, R.B., Pruller, F., Truschnig-Wilders, M,, Schnedl, W., Horejsi, R., Möller, R., Weghuber, D., Ille, R., and Mangge, H. High density lipoprotein cholesterol level is a robust predictor lipid peroxidation Irrespective of gender, age, obestiy, and inflammatory or metabolic biomarkers. Clin.Chim.Acta. 2011; 412: 1345-1349
  13. Seibert, H., Pereira, A.M.L., Ajzen, S.A., and Nogueira, P.C.K. Abdominal Circumference Measurement by Ultrasound Does Not Enhance Estimating the Association of Visceral Fat with Cardiovascular Risk. J. Nutr. 2013; 29: 393-398.
  14. Thalmann, S. and Meier, C. Local adipose tissue depots as cardiovascular risk factors. Cardiovasc. Res., 2007; 75 (4): S. 690–701
  15. Mathieu, P., Pibarot, P., Larose, É., Poirier, P., Marette, A. and Despres, J.P. Visceral obesity and the heart. Int. J. Biochem. Cell Biol., 2008; 40 (5): 821-836.
  16. Wan Ahmad, W.N.H., Sakri, F., Mokhsin, A., Rahman, T., Mohd Nasir, N., Abdul-Razak, S., Md. Yasin, M., Ismail, A.M., Ismail, Z., and Nawawi, H.. Low Serum High Density Lipoprotein Cholesterol Concentration is an Independent Predictor for Enhanced Inflammation and Endothelial Activation. PLoS One. 2015; 6, S. 1–14.
  17. Barton, M., Baretella, O., and Meyer, M.R. Themed Section : Fat and Vascular Responsiveness Correspondence Obesity and risk of vascular disease : importance of vasoconstriction. Brit. J. Pharmacol. 2012; 165: 591–602.
  18. Carr, M.C. and Brunzell, J.D. Abdominal Obesity and Dyslipidemia in the Metabolic Syndrome: Importance of Type 2 Diabetes and Familial Combined Hyperlipidemia in Coronary Artery Disease Risk. J. Clin. Endocr. Metab. 2004; 89(6):2601–2607
  19. Pimenta, A.M., Kac, G., Gazzinelli, A., Corrêa-Oliveira, R., Velásquez-Meléndez, G. Association Between Central Obesity, Triglycerides and Hypertension in a Rural Area in Brazil. Arq. Bras. Cardiol. 2008; 90(6): 386-392
  20. Lorenzo, C., Williams, K., Hunt, K.J., and Haffner, S.M. The National Cholesterol Education Program – Adult Treatment Panel III, International Diabetes Federation and World Organization Definitions of the Metabolic Syndrome as Predictors of Incident Cardiovascular Disesase and Diabetes. Diabetes Care. 2007; 30(1): 8–13.
  21. Qi, L., Ding, X., Tang, W., Qin, L., Mao, D., and Wang, Y. Prevalence and Risk Factors Associated with Dyslipidemia in Chongqing, China. Int. J. Environ. Res. Public Health. 2015; 12: 13455-13465.
  22. Frank, A.T., Zhao, B., Jose, P.O., Azar, K.M., Fortmann, S.P., and Palaniappan, L.P. Racial/Ethnic Differences in Dyslipidemia Patterns. Circulation. 2014; 129 (5): 570-579.
  23. Aryana, I.G.P.S., Gotera, W., Sutanegara, I.N.D., Suastika, K., Taniguchi, H., Kajiwara, N., Sutanegara, D., and Anzai, H. Correlation Body Fat Accumulation and Serum Lipid Profile Among Indigenous Population in Sembiran Village, Bali, Indonesia. J. Physiol. Anthropol. 2002; 45:86-7.
  24. Hill,, M.J., Metcafe, D., and Mc Ternan, P.G. Review: obesity and diabetes; lipids ‘no where to run to. Clin. Sci. 2009; 116: 113-123.
  25. Lee, M., Pramyothin, P., Karastergiou, K., and Fried, S.K. Deconstructing the roles of glucocorticoids in adipose tissue biology and the development of central obesity. Biochim. et Biophys. acta. 2014; 1842: 473-481.
  26. Fruchbeck, G., Ambrosi, J.G., Muruzabal, F.J. and Burell, M.A. The adipocyte: a model for entegration of endocrine and metabolic signaling in energy metabolism regulation. Am. J. Physiol. Endocrinol. Metab. 2001; 280: E827-E847.
  27. Saely, C.H., Geiger, K., and Drexek, H. Browns versus white adipose tissye: a mini-review. Gerontol. 2012; 58 (1): 15-23.
  28. Jeffery, E., Wing, A., Holtrup, B., Sebo, Z., Kaplan, J.L., Saavedra-Pena, R., Church, C.D., Colman, L., Berry, R., and Rodeheffer, M.S. The adipose tissue mivroenvirontment regulates depot-spesific adipogenesis in obesity. Cell Metabolism. 2016; 24: 142-150.

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