Faktor Risiko Obesitas pada Guru Sekolah Perempuan serta Relevansi dengan PTM Selama Pandemi Covid-19
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Background: The prevalence of obesity in the world is getting higher, so it becomes a severe health problem. Some factors that contribute to the problem of obesity are increased calorie intake, including the consumption of junk food and sedentary, and low physical activity. School teachers are one of the most crucial labor elements in improving the human development indeks.
Objectives: The study aims to determine the risk factors for obesity in female teachers as well as some non-communicable health problems during the Covid-19 pandemic.
Methods: This quantitative study uses a cross-sectional design, which was conducted on 270 female school teachers; the sample was taken by purposive sampling. Participants measured weight, height, waist circumference data. Blood pressure data were also recorded by participants, including data on diabetes, cholesterol, arthritis, coronary heart disease. While the BMI value data is calculated by the researcher Data collection using a questionnaire distributed from Google Form. Statistical analysis using test Chi-Square and Logistic Regression.
Results: The results showed risk factors for obesity in female school teachers were age, waist circumference, consuming junk food, type of diet and physical activity (p< 0.05), with the main predictor being consumption junk food (OR= 3.2). Also, obesity in women is closely related to several non-communicable diseases such as hypertension and arthritis.
Conclusions: The main risk factors that cause the high prevalence of obesity in female school teachers in Banda Aceh City are due to consumption habits junk food during the Covid-19 pandemic, and are strongly related to health problems such as hypertension and arthritis.
Agus Hendra Al Rahmad, Gizi Masyarakat, Jurusan Gizi, Politeknik Kesehatan Kemenkes Aceh
Fang, Y., Nie, Y. & Penny, M. Transmission dynamics of the COVID"19 outbreak and effectiveness of government interventions: A data"driven analysis. J. Med. Virol. 92, 645–659 (2020).
Karin, O. et al. Adaptive cyclic exit strategies from lockdown to suppress COVID-19 and allow economic activity. medRxiv (2020).
Taghrir, M. H., Akbarialiabad, H. & Marzaleh, M. A. Efficacy of mass quarantine as leverage of health system governance during COVID-19 outbreak: a mini policy review. Arch. Iran. Med. 23, 265–267 (2020).
Engle, S., Stromme, J. & Zhou, A. Staying at home: mobility effects of covid-19. Available at SSRN (2020). doi:http://dx.doi.org/10.2139/ssrn.3565703
Lescure, F.-X. et al. Clinical and virological data of the first cases of COVID-19 in Europe: a case series. Lancet Infect. Dis. (2020).
Ng, Y. et al. Evaluation of the effectiveness of surveillance and containment measures for the first 100 patients with COVID-19 in Singapore--January 2–February 29, 2020. (2020).
Gugus Tugas Nasional. Kasus Positif COVID-19 Naik 1.031, Pasien Sembuh Meningkat Jadi 16.243. Gugus Tugas Percepatan Penanganan COVID-19 (Gugus Tugas Nasional) (2020). Available at: https://covid19.go.id/p/berita/kasus-positif-covid-19-naik-1031-pasien-sembuh-meningkat-jadi-16243. (Accessed: 18th June 2020)
Cuevas, A., Lim, S., Ryan, D., Clément, K. & Heymsfield, S. In response to the current COVID-19 Pandemic, the World Obesity Federation and colleagues launched a series of webinars on COVID-19 & Obesity. WORLD OBESITY LIVE – COVID-19 AND OBESITY WEBINAR SERIES (2020). Available at: https://www.worldobesity.org/news/world-obesity-live-covid-19-and-obesity-webinar-series. (Accessed: 16th June 2020)
Di Renzo, L. et al. Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey. J. Transl. Med. 18, 1–15 (2020).
Bhurosy, T. & Jeewon, R. Overweight and obesity epidemic in developing countries: a problem with diet, physical activity, or socioeconomic status? Sci. World J. 2014, (2014).
WHO. World Health Statistics 2012. Global Health Observatory (GHO) data (2012). Available at: https://www.who.int/gho/publications/world_health_statistics/2012/en/. (Accessed: 26th May 2020)
Rachmi, C. N., Li, M. & Baur, L. A. Overweight and obesity in Indonesia: prevalence and risk factors”a literature review. Public Health 147, 20–29 (2017).
Balitbangkes. Laporan Nasional Riskesdas Tahun 2018. (2018).
Sumar, W. W. T. Implementasi Kesetaraan Gender Dalam Bidang Pendidikan. J. Musawa IAIN Palu 7, 158–182 (2015).
Tuwu, D. Peran Pekerja Perempuan Dalam Memenuhi Ekonomi Keluarga: Dari Peran Domestik Menuju Sektor Publik. Al-Izzah J. Hasil-Hasil Penelit. 13, 63–76 (2018).
Monica, S. J. & John, S. Risk Factors Contributing to Dyslipidemia among Female School Teachers. J. Krishna Inst. Med. Sci. 7, (2018).
Govind, K., Ratchagar, I. & Ruby Violet Rani, E. Job Stress in Relation to Mental Health among the College Teachers. Annamalai Int. J. Bus. Stud. Res. 6, (2014).
Karikatti, S. S., Naik, V. A., Hallappanavar, A. B. & Mallapur, M. D. Assessing Risk of Cardiovascular Disease among School Teachers: A High Risk Approach at School Settings. Indian J. Public Heal. Res. Dev. 7, 162–167 (2016).
Elmajnoun, H. K., Elhag, M. R. A., Mohamed, H., Haris, P. I. & Abu-Median, A.-B. Ramadan 2020 in the Midst of the COVID-19 Pandemic: Guidance for Public Health. Library Learning Service, De Montfort University (De Montfort University, 2020).
Hastuti, J., Kagawa, M., Byrne, N. M. & Hills, A. P. Determination of new anthropometric cut-off values for obesity screening in Indonesian adults. Asia Pac. J. Clin. Nutr. 26, (2017).
He, K. et al. Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women. Int. J. Obes. 28, 1569–1574 (2004).
Trisna, I. & Hamid, S. Faktor-faktor yang berhubungan dengan obesitas sentral pada wanita dewasa (30-50 tahun) di Kecamatan Lubuk Sikaping Tahun 2008. J. Kesehat. Masy. Andalas 3, 68–71 (2009).
Hong, S. A., Peltzer, K., Lwin, K. T. & Aung, L. S. The prevalence of underweight, overweight and obesity and their related socio-demographic and lifestyle factors among adult women in Myanmar, 2015-16. PLoS One 13, e0194454 (2018).
Buch, A. et al. Muscle function and fat content in relation to sarcopenia, obesity and frailty of old age”An overview. Exp. Gerontol. 76, 25–32 (2016).
Khotibuddin, M. Hubungan depresi dan perilaku makan terhadap berat badan lebih mahasiswa kedokteran. Mutiara Med. J. Kedokt. dan Kesehat. 17, 42–50 (2017).
Rocha, S. V. et al. Overweight/obesity in teachers: prevalence and associated factors. Rev. Bras. Cineantropometria Desempenho Hum. 17, 450–459 (2015).
Almandoz, J. P. et al. Impact of COVID"19 Stay"at"Home Orders on Weight"Related Behaviors Among Patients with Obesity. Clin. Obes. e12386 (2020). doi:https://doi.org/10.1111/cob.12386
Haghighatdoost, F., Amini, M., Feizi, A. & Iraj, B. Are body mass index and waist circumference significant predictors of diabetes and prediabetes risk: Results from a population based cohort study. World J. Diabetes 8, 365 (2017).
Abtahi, F. et al. The relationship between body mass index and pre-diabetes in teachers residing in shiraz-Iran 2009. Iran Cardiovasc Res J 4, 112–117 (2010).
Susetyowati, S., Huriyati, E., Kandarina, B. J. I., Muhammad, H. F. L. & Faza, F. Prevalence and determinants of high blood glucose in urban and rural Indonesian adult population. Int. J. Diabetes Dev. Ctries. 39, 346–354 (2019).
Gupta, R., Ghosh, A., Singh, A. K. & Misra, A. Clinical considerations for patients with diabetes in times of COVID-19 epidemic. Diabetes Metab. Syndr. 14, 211–212 (2020).
Puspa, A. Penyakit Komorbid Jadi Penyumbang Angka Kematian Pasien Covid-19. Humaniora Media Indonesia 1–2 (2020). Available at: https://mediaindonesia.com/read/detail/303934-penyakit-komorbid-jadi-penyumbang-angka-kematian-pasien-covid-19. (Accessed: 30th May 2020)
Deng, S.-Q. & Peng, H.-J. Characteristics of and public health responses to the coronavirus disease 2019 outbreak in China. J. Clin. Med. 9, 575 (2020).
Ruan, Q., Yang, K., Wang, W., Jiang, L. & Song, J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 46, 846–848 (2020).
Misra, A., Singhal, N. & Khurana, L. Obesity, the metabolic syndrome, and type 2 diabetes in developing countries: role of dietary fats and oils. J. Am. Coll. Nutr. 29, 289S-301S (2010).
Mozaffarian, D., Hao, T., Rimm, E. B., Willett, W. C. & Hu, F. B. Changes in diet and lifestyle and long-term weight gain in women and men. N. Engl. J. Med. 364, 2392–2404 (2011).
Kulkarni, K., Karssiens, T., Kumar, V. & Pandit, H. Obesity and osteoarthritis. Maturitas 89, 22–28 (2016).
Wills, A. K. et al. Life course body mass index and risk of knee osteoarthritis at the age of 53 years: evidence from the 1946 British birth cohort study. Ann. Rheum. Dis. 71, 655–660 (2012).
Mobasheri, A. COVID-19, osteoarthritis and women's health. Case reports women's Heal. e00207 (2020). doi:10.1016/j.crwh.2020.e00207
Zennaro, M.-C., Boulkroun, S. & Fernandes-Rosa, F. An update on novel mechanisms of primary aldosteronism. J. Endocrinol. 224, R63–R77 (2015).
Jiang, S., Lu, W., Zong, X., Ruan, H. & Liu, Y. Obesity and hypertension. Exp. Ther. Med. 12, 2395–2399 (2016).
Greiw, A. S. H., Gad, Z., Mandil, A., Wagdi, M. & Elneihoum, A. Risk Factors for Cardiovascular Diseases among School Teachers in Benghazi, Libya. Ibnosina J. Med. Biomed. Sci. 2, (2010).
Mahamood, A., Vijayakumar, S., Pasula, S., Adepu, K. & Laxmi, A. Relationship Between Waist Circumference and Body Mass Index of Hypertensionin Teaching Staff of Government and Private Schools. Int. J. Pharm. Sci. Lett. 3, 218–222 (2013).
Simbolon, D., Yorita, E. & Talib, R. A. B. D. Consequences of Overweight and Obesity in Adolescence against the Risk of Hypertension in Adulthood. Kesmas Natl. Public Heal. J. 14, (2019).
Driggin, E. et al. Cardiovascular considerations for patients, health care workers, and health systems during the COVID-19 pandemic. J. Am. Coll. Cardiol. 75, 2352–2371 (2020).
Rios, S. da S., Chen, A. C. R. & Chen, J. R. COVID-19: Does lifestyle intervention improve the course of the disease? A case series and literature review. Nutr. Diet. Prescreen, 1–16 (2020).
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