BESAR RISIKO FAKTOR FISIOLOGIS DAN FAKTOR PERILAKU TERHADAP KEJADIAN SINDROM METABOLIK

Fany Septianti Murningtyas; Meirina Dwi Larasati; Ana Yuliah Rahmawati; Setyo Prihatin

doi:10.31983/jrg.v8i1.5152

BESAR RISIKO FAKTOR FISIOLOGIS DAN FAKTOR PERILAKU TERHADAP KEJADIAN SINDROM METABOLIK

Fany Septianti Murningtyas, Meirina Dwi Larasati, Ana Yuliah Rahmawati, Setyo Prihatin

Abstract

Background: Metabolic syndrome (MetS) is a risk factors for metabolic disorders such as high levels of triglyceride, blood sugar, blood pressure, central obesity and the low of HDL(NCEP-ATP III criteria). These risk factors are important to detect earlier. The worldwide prevalence of MetS were increased up to 20 – 25% and based on Riskesdas data from 2013 to 2018, the prevalence of MetS component were increased.

Objective: To examine the risk of physiology and behavioral factors towards MetS incidents in Tlogosari Kulon PHC area.

Method: An observational research with case-control design which involved 50 sampels aged 25 – 65 years in Tlogosari Kulon PHC area. Physiology factors were included gender, age, and genetic history which were collected through interview. Nutritional status based on anthropometric measurement, meanwhile the behavioral factors, including physical activities which were collected using an IPAQ and the knowledge factors were collected through 20 question which were collected by interview. Triglyceride, fasting blood sugar and HDL were measured using a spectrophotometer. Statistical analysis were used Chi-Square and Logistic Regression.

Result: The chi-square test showed that there were significant relations between age (95% CI = 1,510 – 21,424; OR = 5,688), nutritional status (95% CI = 1,446 – 17,922; OR = 5,091), genetic history (95% CI = 1,170 – 12,194; OR = 3,778) and physical activity (95% CI = 1,180 – 12,606; OR = 3.857) with MetS incidents (p<0,05). The logistic regression test showed that age (95% CI = 1,271 – 33,256; OR = 6,502) and nutritional status (95% CI = 1,038 – 25,957; OR = 5,191) were the most dominant variables toward the MetS incidents. Physiology and behavioral factors were contributed 47,8% to the MetS incidents.

Conclusion: Age and nutritional status affect MetS incidents in Tlogosari Kulon PHC area.

Keywords

physiology factors; behavioral factors; metabolic syndrome

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References

Pratiwi ZA, Hasanbasri M, Huriyati E. Penentuan Titik Potong Skor Sindroma Metabolik Remaja dan Penilaian Validitas Diagnostik Parameter Antropometri : Analisis Riskesdas. J Gizi Klin Indones. 2017;14(2):80–9.

Sihombing M, Tjandrarini DH. Faktor Risiko Sindrom Metabolik Pada Orang Dewasa Di Kota Bogor. Penelit Gizi dan Makanan. 2015;38(1):21–30.

Burton WN, Chen CY, Schultz AB, Edington DW. The Prevalence of Metabolic Syndrome in an Employed Population and the Impact on Health and Productivity. J Occup Environ Med. 2008;50(10):1139–48.

Soegondo S, Purnamasari D. Ilmu Penyakit Dalam Jilid III. V. Sudoyo AW, Setiyohadi B, Alwi I, K MS, Setiati S, editors. Jakarta; 2009. 1865–1872 p.

Bantas K, Yosef HK, Moelyono B. Perbedaan Gender pada Kejadian Sindrom Metabolik pada Penduduk Perkotaan di Indonesia. Kesehat Masy Nasiional. 2012;7(5):219–26.

Suhaema, Masthalina H. Pola Konsumsi dengan Terjadinya Sindrom Metabolik di Indonesia Indonesia. Kesehat Masy Nasiional. 2015;9(4).

Wiardani NK, Sugiani PPS, Gumala NMY. Konsumsi Lemak Total , Lemak Jenuh , dan Kolesterol Ssebagai Faktor Risiko Sindroma Metabolik pada Masyarakat Perkotaan di Denpasar. 2011;7(3):107–14.

Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and Management of the Metabolic Syndrome An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. EPRI J. 2005;5(2):6–17.

Thaman R, Arora G. Metabolic Syndrome: Definition and Pathophysiology the discussion goes on. J Physiol Pharmacol Adv. 2013;3(3):48.

Zahtamal, Wasilah R, Prabandari YS, Setyawati LK. Prevalensi Sindrom Metabolik pada Pekerja Perusahaan. J Kesehat Masy Nas. 2014;9(2):113–20.

Solechah SA, Briawan D, Kustiyah L. Proporsi Dan Faktor Risiko Sindrom Metabolik Pada Pekerja Wanita Di Pabrik Garment Di Kota Bogor. Penel Gizi Makan. 2014;37(1):21–32.

Soewondo P, Purnamasari D, Oemardi M, Hospital M, Soegondo S. Prevalence of Metabolic Syndrome Using NCEP / ATP III Criteria in Jakarta , Indonesia : The Jakarta Primary Non-communicable Disease Risk Factors Surveillance 2006. Acta Med Indones-Indones J Intern Med. 2010;42(4).

Rachmah Q, Utari DM. Indeks Massa Tubuh (IMT) sebagai Faktor Predominan terhadap Sindrom Metabolik pada Guru Sekolah Dasar di Kecamatan Cilandak, Jakarta Selatan Tahun 2013. Kesmas Univ Indones. 2013;

Putri YI. Hubungan Karakteristik dan Total Energi dengan Kejadian Sindroma Metabolik pada Orang Dewasa di Balai Laboratorium Kesehatan Provinsi Sumatra Barat Tahun 2014. Karya Tulis Ilm. 2014;

Magdalena, Mahpolah, Yusuf A. Faktor-Faktor yang Berhubungan dengan Sindrom Metabolik Pada Penderita Rawat Jalan di RSUD Ulin Banjarmasin. Skala Kesehat. 2014;5(2):1–6.

Wati PM, Ernawati. Hubungan Status Gizi dengan Kejadian Sindrom Metabolik di Dusun Sabuh Kecamatan Arosbaya Kabupaten Bangkalan-Madura. J Ilm Kedokt. 2016;5(1):37–48.

Liliany EI, Jafar N, Najamuddin U. Hubungan Aktivitas Fisik dan Pola Makan terhadap Komponen Sindrom Metabolik pada Pasien Rawat Jalan DM Tipe 2 Di Wilayah Kerja Puskesmas Kora Makasar. 2014;

Harikedua VT. Hubungan Pengetahuan Gizi dan Perilaku Makan dengan Komponen Sindroma Metabolik pada Tokoh Agama di Kota Manado. Tesis Univ Gajah Mada. 2012;

Solechah SA. Faktor-Faktor Risiko Sindrom Metabolik pada Pekerja Wanita. Tesis Inst Pertan Bogor. 2014;

Entika RH. Hubungan Status Gizi dan Sindrom Metabolik dengan Kejadian Komplikasi Pasien Diabetes Mellitus Tipe 2 Rawat Jalan di RSUD Dr Moewardi. Skripsi. 2017;

Afifah HM, Hartriyanti Y, Samekto P. Hubungan Antara Asupan Zat Gizi dan Status Gizi dengan Sindrom Metabolik pada Wanita Pengrajin Batik. Skripsi Univ Gadjah Mada. 2018;2–3.

Muherdiyantiningsih, Ernawati F, Effendi R, Herman S. Sindrom Metabolik pada Orang Dewasa Gemuk di Wilayah Bogor. Puslitbang Gizi dan Makanan. 2008;31(2):75–81.

Anjana RM, Lakshminarayanan S, Deepa M, Farooq S, Pradeepa R, Mohan V. Parental History of Type 2 Diabetes Mellitus, Metabolic Syndrome, and Cardiometabolic Risk Factors in Asian Indian Adolescents. Metabolism. 2009;58(3):344–50.

Yeboah K, Dodam KK, Affrim PK, Adu-gyamfi L, Bado AR, Mensah RNAO, et al. Metabolic Syndrome and Parental History of Cardiovascular Disease in Young Adults in Urban Ghana. BMC Public Health. 2018;1–8.

Ejtahed H, Heshmat R, Motlagh ME, Hasani- S, Ziaodini H, Taheri M, et al. Association of Parental Obesity with Cardiometabolic Risk Factors in Their Children : The CASPIAN-V Study. PLoS One. 2018;1–13.

Das M, Pal S, Ghosh A. Family History of Type 2 Diabetes and Prevalence of Metabolic Syndrome in Adult Asian Indians. J Cardiovasc Dis Res. 2012;3(2):104–8.

Welis W, Rifki MS. Gizi Untuk Aktifitas Fisik dan Kebugaran. Vol. 91, Sukabina Press. Padang; 2013. 399–404 p.

Yusfita LY. Hubungan Perilaku Sedentari dengan Sindrom Metabolik pada Pekerja. Indones J. 2018;13(2):143–55.

Mumpuni NF. Hubungan Antara Pola Konsumsi Makan dan Aktivitas Fisik dengan Kejadian Sindrom Metabolik pada Karyawan Badak LNG Bontang Provinsi Kalimantan Timur. Tesis Univ Gajah Mada. 2015;

Dewi IG. SK, Pramantara ID., Pangastuti R. Pola Makan berhubungan dengan Sindrom Metabolik pada Lanjut Usia di Poliklinik Geriatri RSUP Sanglah Denpasar. Vol. 6, Jurnal Gizi Klinik Indonesia. 2010. p. 105–13.

Couch BA, Hubbard JK, Brassil CE. Multiple – True – False Questions Reveal the Limits of the Multiple – Choice Format for Detecting Students with Incomplete Understandings. Bioscience. 2018;68(6):455–63.

Hubbard JK, Potts MA, Couch BA. How Question Types Reveal Student Thinking : An Experimental Comparison of Multiple-True-False and Free-Response Formats. EBC-Life Sci Educ. 2017;1–13.

DOI: https://doi.org/10.31983/jrg.v8i1.5152