The Relationship Of Nutritional Status With The Incidence Of Metabolic Syndrome In Security And Order Employees In Universitas Pendidikan Indonesia
Abstract
Background: Metabolic syndrome is a real threat to the occurrence of non-communicable diseases. One of the factors that causes metabolic syndrome is a person's nutritional status. Survey results state that the increasing incidence of metabolic syndrome is related to changes in his, her, their, etc. lifestyle, namely changes in physical activity, lack of exercise and changes in consumption patterns. Unbalanced calorie intake and usage results in excess nutritional status (obesity). Based on this, this research aims to determine the relationship between nutritional status and the incidence of metabolic syndrome in UPI K3 employees.
Research Methods: The design used is cross sectional. The population is K3 employees of the University of Education, Indonesia. The research sample was taken using a purposive sampling method from 30 K3 officers at the Indonesian University of Education, Bandung City. Data processing uses the chi-square correlation test.
Research Result: The results of the study showed that there was a significant relationship between nutritional status and the incidence of metabolic syndrome with a p value = 0.029 (<0.05). A person with an obese nutritional status has a 5.091 times greater risk of experiencing metabolic syndrome than a person who has a normal nutritional status or is thin. This is because obese sufferers have a greater risk of developing other complications.
Conclusion: there is a significant relationship between nutritional status and the incidence of metabolic syndrome. The importance of implementing a healthy lifestyle, especially in managing adequate diet and exercise to reduce the incidence of metabolic syndrome.
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Alberti, K. G. M. M., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J. C., James, W. P. T., Loria, C. M., & Smith, S. C. Harmonizing the metabolic syndrome: A joint interim statement of the international diabetes federation task force on epidemiology and prevention; National heart, lung, and blood institute; American heart association; World heart federation; International atherosclerosis society; And international association for the study of obesity. Circulation. 2009:120(16), 1640–1645. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
Azkia F.,& Wahyono, T. Hubungan Pola Konsumsi Makanan Beresiko dengan Obesitas Sentral Pada Wanita Usia 25-65 Tahun di Bogor Tahun 2011-2012. J Epidemiologi Kesehatan Indonesia. 2012;2(11), 11-18. http://dx.doi.org/10.7454/epidkes.v2i1.1675
Choirotussanijah, C., & Hotimah, H. Hubungan Status Gizi (Indikator IMT) Terhadap Kejadian Metabolic Syndrome Di Pondok Pesantren Al-Hidayah, Kabupaten Ngawi 2018. Medical Technology and Public Health J. 2019; 3(1), 23–28. https://doi.org/10.33086/mtphj.v3i1.949
Centers of disease control. Body mass index: Considerations for practitioners. Cdc. 2011;4. http://dx.doi.org/10.33371/ijoc.v15i2.708
Dian, P. R., Fenti, D., & Rahma, L. Asupan Makan, Stress dan Aktivitas Fisik dengan Sindrom Metabolik pada Pekerja di Jakarta. J Kajian dan Pengembangan Kesehatan Masyarakat. 2020. https://doi.org/10.24853/an-nur,%201,%201,%2019-32
Driyah, S., Oemiati R., Rustika., & Hartati N. Prediktor Sindrom Metabolik : Studi Kohor Prospektif Selama Enam Tahun di Bogor, Indonesia. Media Litbangkes. 2014;29(3), 215-224.
Esma, A., Saip, S. M., Pinar, C. F., & Asli, U. Factor That Affect Body Mass Index of Adults. Pakistan Journal of Nutrition. In Pakistan J of Nutrition. 2014;13(5), 255–260. https://doi.org/10.3923/pjn.2014.255.260
Fitriani, N. Faktor-faktor yang berhubungan dengan tekanan darah Pada Pekerja Shift Dan Pekerja Non Shift di PT X Gresik. J of Industrial Hygiene and Occupational Health. 2017;2(1), 57–75. http://dx.doi.org/10.21111/jihoh.v2i1.948
Harahap, H., Widodo, Y., & Mulyati, S. Penggunaan Berbagai Cut-Off Indeks Massa Tubuh Sebagai Indikator Obesitas Terkait Penyakit Degeneratif Di Indonesia. J Gizi Indonesia. 2014;28(2). https://doi.org/10.36457/gizindo.v28i2.20
Kemenkes RI. Batas Ambang Indeks Massa Tubuh (IMT). 2019. https://p2ptm.kemkes.go.id/infographicp2ptm/obesitas/tabel-batas-ambang-indeks-massa-tubuh-imt
Kementerian Kesehatan Repiblik IndonesiaI. Riskesdas. 2018.
Lasmadasari, N., & Pardosi, M. U. Studi Prevalensi dan Faktor Risiko Sindrom Metabolik Pada Nelayan di Kelurahan Malabro Bengkulu. The Indonesian J of Public Health. 2016;12(2). https://doi.org/10.30597/mkmi.v12i2.926
Lee, G. J., Kim, K., Kim, S. yeong, Kim, J. H., Suh, C., Son, B. CChoi, J. Effects of shift work on abdominal obesity among 20-39-year-old female nurses: A 5-year retrospective longitudinal study. Annals of Occupational and Environmental Medicine. 2016;28(1), 1–7. https://doi.org/10.1186/s40557-016-0148-6
Lientje, K., Yayi, S., Wasilah, R., & Zahtamal. Prevalensi Sindrom Metabolik pada Pekerja Perusahaan. Jurnal Kesehatan Masyarakat Nasional. J Kesehatan Masyarakat Nasional 2014;9(2). http://dx.doi.org/10.21109/kesmas.v9i2.499
Murningtyas, F. S., Larasati, M. D., Rahmawati, A. Y., & Prihatin, S. Besar Risiko Faktor Fisiologis Dan Faktor Perilaku Terhadap Kejadian Sindrom Metabolik. J Riset Gizi. 2020;8(1), 11–17. https://doi.org/10.31983/jrg.v8i1.5152
Noer, E. R., & Laksmi, K. Peningkatan Angka Kejadian Obesitas dan Hipertensi Pada Pekerja Shift. JNH. 2014; 2(1). https://doi.org/10.22146/bkm.25783
Peplonska, B., Bukowska, A., & Sobala, W. Association of rotating night shift work with BMI and abdominal obesity among nurses and midwives. PLoS ONE. 2015:10(7), 1–13. https://doi.org/10.1371/journal.pone.0133761
Rachmah, Q., & Utari, D. M. Dominant factors of metabolic syndrome among a sample of school teachers in Jakarta, Indonesia. Indian J of Public Health Research and Development. 2019;10(8), 1343–1349. https://doi.org/10.5958/0976-5506.2019.02083.7
Rhimayanti, C., Subidjo P., Apriyanto, K.D., Perdana, S., Nugraha, A.A., & Arumsari, P. Hubungan Antara Sindrom Metabolik dengan Pengukuran Antropometri pada Lansia. Laporan Research Group Inovasi. 2021.
Rochlani, Y., Pothinen, N., Kovelamudi, S., Mehta J. Metabolic Syndrome: Pathophysiology, Management, and Modulation By Natural Compounds. Theraupetic Advances in Cradiovascular Disease. 2017;11(8), 215-225. https://doi.org/10.1177/1753944717711379
Rochmah, W., Prabandari, Y. S., & Setyawati, L. K. Prevalensi Sindrom Metabolik pada Pekerja Perusahaan The Prevalence of Metabolic Syndrome among Company Workers. J Kesehatan masyarakat 2014;9(2), 113-120. http://dx.doi.org/10.21109/kesmas.v9i2.499
Saklayen, M. The Global Epidemic of the Metabolic Syndrome. Current Hypertension Reports. 2018;20(12). https://doi.org/10.1007/s11906-018-0812-z
Soegondo, S,, & Purnamasari, D. Sindrom Metabolik. Buku Ajar Ilmu Penyakit Dalam. 2010;4, 88-93.
Soewondo. Prevalence, Characteristics, and Predictors of Prediabetes in Indonesia. Medicine J Indonesia. 2011;20(4). https://doi.org/10.13181/mji.v20i4.465
Wati, P. M., & Ernawati. Hubungan Status Gizi Dengan Kejadian Sindrom Metabolik di Dusun Sabuh Kecamatan Arosbaya Kabupaten Bangkalan-Madura. Ilmiah Kedokteran. 2016; (5), 37–48. http://erepository.uwks.ac.id/id/eprint/6350. http://dx.doi.org/10.30742/jikw.v5i1.4
Wildman RP, Gu D, Reynolds K, Duan X, He J. Appropriate body mass index and waist circumference cut offs for categorization of overweight and central adiposity among Chinese adults. Am J Clin Nutr. 2004; (80), 1129- 1136. https://doi.org/10.1093/ajcn/80.5.1129
DOI: https://doi.org/10.17509/jafn.v5i1.70001
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