How to Cite
Auliya Rahmy, H., Triyanti, T., & Ayu Dewi Sartika, R. (2015). HUBUNGAN IMT, RLPP DAN RIWAYAT DIABETES PADA KELUARGA DENGAN KADAR GULA DARAH SEWAKTU PADA PNS. Jurnal Kesehatan Masyarakat Andalas, 9(1), 17–22. https://doi.org/10.24893/jkma.v9i1.214
Abstract
Diabetes melitus (DM) adalah penyakit metabolik dengan karakteristik hiperglikemia. DM dan komplikasinya menyebabkan sekitar 4% kematian dari seluruh total kematian di dunia dan 3% di Di Indonesia. Skrining melalui pemeriksaan kadar gula darah sangat diperlukan untuk mencegah DM. Penelitian ini bertujuan  mengetahui kadar gula darah dan hubungan indeks massa tubuh, rasio lingkar pinggang pinggul dan riwayat diabetes pada keluarga dengan kadar gula darah. Penelitian dilakukan dengan desain cross sectional pada PNS di Direktorat Jenderal Perimbangan Keuangan bulan Februari - April 2014. Jumlah sampel berdasarkan hasil perhitungan sampel sebanyak 147 responden yang dipilih secara random. Analisis yang digunakan meliputi analisis univariat dan bivariat (regresi linear sederhana dan Ât test independen). Rata-rata kadar gula darah yang didapatkan adalah 177,52±27,67 mg/dl, rata-rata IMT adalah 23,93±4,20 m/kg2 pada perempuan dan 26,23±4,07 m/kg2 pada laki-laki dan rasio lingkar pinggang pinggul adalah 0,87±0,06 pada perempuan dan 0,90±0,04 pada laki-laki. Hasil penelitian menunjukkan adanya hubungan yang signifikan antara indeks massa tubuh, rasio lingkar pinggang pinggul dan riwayat diabetes pada keluarga dengan kadar gula darah (p value < 0,05). Pencegahan DM dapat dilakukan dengan skrining khususnya pada kelompok berisiko dengan pemantauan status gizi.References
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2. Center for Disease Control and Prevention. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United State 2011. Atlanta: Departement of Health and Human Services, Center for Disease Control and Prevention. 2011.
3. World Health Organization. Noncommunicable diseases country profiles. Geneva: WHO Press. 2010.
4. World Health Organization. Noncommunicable diseases country profiles. Geneva: WHO Press. 2011.
5. Whiting DR, Guariquata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011; 94 (3): 311-21.
6. Kementerian Kesehatan Republik Indonesia. Riset kesehatan dasar Indonesia. Jakarta: Badan Penelitian Dan Pengembangan Kesehatan Kementerian Kesehatan Republik Indonesia; 2007.
7. Kementerian Kesehatan Republik Indonesia. Riset kesehatan dasar Indonesia. Jakarta: Badan Penelitian Dan Pengembangan Kesehatan Kementerian Kesehatan Republik Indonesia; 2013.
8. Garrido RA, Semeraro MB, Temesqen SM, Simi MR. Metabolic syndrome and obesity among workers at Kanye Seventh-Day Adventist hospital, Botswana. S Afr Med J 2009; 99 (5): 331-334.
9. Thabit H, et. al. Prevalence and predictors of diabetes and cardiometabolic risk among construction workers in Ireland: the construction workers health trust screening study. Diabetes & Vascular Disease Research. 2013;10(4) 337–345.
10. Astheria, Karina. Obesitas pada PNS pria direktorat jenderal perimbangan keuangan. [Skripsi]. Depok: Universitas Indonesia; 2013.
11. Kaur V, Verma M, Copra B, Kaur A, Singh K. To study the correlation between glycated hemoglobin and fasting/random blood sugar level for the screening of diabetes mellitus. Journal of Advance Research in Biological Science. 2013;5(4) 21-25.
12. Hermawan, Windy. Hubungan antara indeks massa tubuh dengan kadar gula darah sewaktu pada pegawai pria Di Dinas Pertanian dan Peternakan Provinsi Sulawesi Utara. Fakultas Kesehatan Masyarakat Universitas Sam Ratulangi Manado; 2012.
13. Gary TC Ko, Hendena PS Wai, Joyce SF Tang. Effects of age on plasma glucose levels in non-diabetic Hong kong chinese. Croat Med J. 2006; 47(5): 709-713.
14. Lujain AA, Yossif AR, Yossra KH. Sex diffeÂrences in the impact of Body Mass Index (BMI) and Waist/Hip (W/H) Ratio on patients with metabolic risk factors in Baghdad. Global Journal of Health Science. 2010; 2 (2) .
15. Arch GM, Rebecca JT, Richard B, Cillia EZ, Christopher AH. Prevalence of prediabetes in England from 2003 to 2011: population-based, cross-sectional study. BJM Open. 2014;4:e005002.
16. Shmina A, M Mizanur R, Sarah KA, Papia S. Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey. Bulletin of the World Health Organization. 2014; 92: 204-213A.
17. Tabák AG, Herder C, Rathmann W, Brunner EJ, Kivimäki M. Prediabetes: a high-risk state for developing diabetes. Lancet. 2012 June 16; 379(9833): 2279–2290.
18. Saaristo TE et al. High prevalence of obesity, central obesity and abnormal glucose toleÂrance in the middle-aged Finnish population.
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