THE CORRELATION OF OBESITY INDEX AND THE LEVEL OF TRIGLYCERIDE IN VILLAGERS

Fenty Fenty, Lucia Wiwid Wijayanti, Aris Widayati

Abstract


The obesity index is a parameter that describes general and central obesity. Obesity prevalence tends to increase in the rural areas of Indonesia. The increased prevalence of obesity is correlated with increased cardiovascular prevalence and diabetes. Dyslipidemia is also a risk factor for cardiovascular disease and is closely related to obesity. Obesity is an accumulation of excessive triglyceride levels and stored in adipose tissue that can contribute to the onset of coronary heart disease. This was an analytical observational study with a cross-sectional design. Research subjects were the rural community in Bonjoroyo village, Kulonprogo Regency, DIY which fulfilled the inclusion criteria. The data obtained were obesity index data (Body Mass Index/BMI, Waist Circle/LP, Waist Round/RLPP Ratio, Body Waist Ratio/RLPTB) and triglyceride levels which were then analyzed statistically with normality test and continued with correlation Spearman test with a 95% confidence level. The results showed that BMI, LP, and RLPTB measurements were significantly positively correlated with moderate-to-weak correlation strength in fasting blood triglyceride levels (r:0.435; p:0.000; r:0.362; p:0.002; r:0.347; p:0.004) in males. Measurements of BMI, LP, and RLPTB were positively correlated with a weak correlation strength against fasting blood triglyceride levels (r: 0.193; p: 0.028; r: 0.226; p: 0.010; r: 0.214; p: 0.014) in females. The RLPP obesity index did not show significant correlations to fasting triglyceride levels in rural communities.


Keywords


Obesity index, triglycerides, rural

Full Text:

PDF

References


World Health Organization. Obesity and overweight fact sheets, 2015. Accessed 12 Agustus 2017.

Kementrian Kesehatan RI. Riset kesehatan dasar. Jakarta, Bakti Husada, 2013; 5: 258-60.

OECD, Obesity Update. 2014. http://www.oecd.org/health/Obesity-Update-2014.pdf, Accessed 8 Agustus 2017.

Sunu UFS, Permadi G, Fenty. Hubungan antara aktivitas fisik dan angka kecukupan gizi makronutrien terhadap rasio kolesterol total/HDL pada masyarakat pedesaan. JFSK. 2017; 14(1):15-24.

Fenty, Widayati A, Virginia DM, Hendra P. Metabolic syndrome among adults in rural areas. IJCPML, 2016; 22(3): 254-7.

Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: Risk factor, paradox, and impact of weight loss. J Am. Coll. Cardiol. 2009; 53(21): 1925-32.

Indra MR. Dasar genetik obesitas visceral. Jurnal Kedokteran Brawijaya, 2006; XXII (1):10-17.

Chrzanowska M, Sobiecki J, Kowal M, Kosciuk T and Matusik S. Is there a relationship between body build and the serum level of cholesterol and triglyceride in women. Przeglad Antropologiczny-Anthropological Review, 2006; 69: 37-47.

Chadha WCD, Singh WCG, Kharbanda GCP, Vasdey WCV, Ganjoo RK. Anthropometric correlation of lipid profile in healthy aviators. Ind J Aerospace Med. 2006; 50(2): 32-7.

WHO. Waist circumference and waist-hip ratio. Report of a WHO Consultation. Geneva, WHO. 2008; 12-20.

Mohammadifard N, Nazem M, Sarrafzadegan N, Nouri F, Sajjadi F, et al. Body mass index, waist-circumference and cardiovascular disease risk factors in Iranian adults. Isfahan Healthy Heart Program. J Health Popul Nutr. 2013; 3(3): 388-97.

Sanlier N and Yabanci N. Relationship between Body mass index, lipids and homocysteine level in university students. J Pak Med Assoc. 2007; 57(10): 491-5.

Knowles KM, Paiva LL, Sanchez SE, Revilla L, Lopez T, et al. Waist circumference, body mass index and other measures of adiposity in predicting cardiovascular disease risk factors among peruvian adults. Int J Hypertens. 2011; 24: 1-10.

Liu Y, Tong G, Tong W, Lu L, Qin X. 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, 2011; 11(35): 1-5.

Wai WS, Dhami RS, Gelaye B, Girma B, Lemma S, et al. Comparison of measure of adiposity in identifying cardiovascular disease risk among Ethiopian adults. Obesity, 2012; 20(9): 1887-95.

Pangesti BW, Sari DI, Fenty. Korelasi pengukuran antropometri terhadap kadar trigliserida pada dewasa muda. Pharmacy, 2014; 11(2): 157-65.

Christasani PD, Fenty, Prayogie R, Anastasia V. Korelasi Body Mass Index (BMI) dan triceps skinfolds thickness terhadap profil lipid sebagai deteksi dini penyakit kardiovaskular. Proceedings Simposium Suramade VI di Mataram. 2016; 98-116.

Fenty, Widayati A, Hendra P. Korelasi pengukuran antropometrik dengan faktor risiko penyakit kardiovaskular di area pedesaan. Proceedings Continuing Profesional Development on Clinical Pathology and Laboratory Medicine JOGLOSENAR VIII, Semarang. 2015; 47-54.

Tan KCB. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet, 2004; 363(9403): 157–63.

Amin F, Fatima SS, Islam N, Gilani AH. Prevalence of obesity and overweight, its clinical markers and associated factors in a high-risk South-Asian population. BMC Obesity. 2015; 2(16): 2-11.

International Diabetes Federation. The IDF consensus worldwide definition of the metabolic syndrome. 2006. http://www.idf.org/metabolicsyndrome.

Widayati A, Fenty, Hendra P. Correlation between body mass index and Apo B/Apo A1 ratio among adults in rural area of Yogyakarta Indonesia. Proceeding International Seminar, Metabolic Syndrome Now and Future. Faculty of Pharmacy and Science Universitas Muhammadiyah Prof.Dr.HAMKA, Jakarta. 2016; 41-4..

Ticoalu, MAC, Wongkar D, Pasiak TF. Angka kejadian obesitas sentral pada wanita di desa Tumaluntung. Jurnal EBM. 2015; 3(1); 528-31.

Sugianti E, Hardinsyah, Afriansyah N. Faktor risiko Obesitas Sentral pada Orang Dewasa di DKI Jakarta, Analisis Lanjut Data RISKESDAS 2007, Gizi Indon. 2009; 32(2): 105-16.

Soetiarto F, Roselinda, Suhardi. Hubungan diabetes melitus dengan obesitas berdasarkan indeks masa tubuh dan lingkar pinggang. Buletin Penelitian Kesehatan, 2010; 38(1): 36-42.

Dahlan MS. Statistik untuk kedokteran dan kesehatan. Ed III., Jakarta, Salemba Medika, 2011; 157.




DOI: http://dx.doi.org/10.24293/ijcpml.v24i3.1337

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.