Body Fat, Body Mass Index, Blood Glucose Levels Examination Program and Education in Community Groups in Malang and Madiun

Heri Kristianto; Alfrina Hany; Rahma Micho Widyanto; Kezia Christina; Wenny Arta Rieski; Anyelir Viola Fatika Putri

doi:10.21776/10.21776/ub.caringjpm.2024.004.01.1

Body Fat, Body Mass Index, Blood Glucose Levels Examination Program and Education in Community Groups in Malang and Madiun

Heri Kristianto, Alfrina Hany, Rahma Micho Widyanto, Kezia Christina, Wenny Arta Rieski, Anyelir Viola Fatika Putri

Abstract

Obesity is one of the risks of Diabetes Mellitus (DM) that requires health screening measures. Different characteristics of rural and urban residents in terms of lifestyle behaviour have an impact on the risk of DM. One of the risk indicators can be seen from the aspects of body mass index (BMI), body fat, and blood glucose levels. The purpose of this paper is to determine the profile of body mass index, body fat, and blood glucose levels between urban and rural residents. Additionally, education and consultation will be provided. Activities were carried out in the form of health screening in Malang City and Madiun Regency for 1 month with a cross sectional design and total sampling according to the presence of participants. Additionally, education and consultation were conducted. The instruments used include a blood glucose meter, HBF-375 body composition meter, and educational videos. Based on the results of measurements in 20 rural people obtained a mean BMI of 23.11kg/m2 (14-61 kg/m2), mean body fat 27.72% (8-41%) and mean blood glucose levels 89.5mg (75-158mg), while measurements in 15 urban people obtained a mean BMI of 27.59 kg/m2 (16-38 kg/m2), mean body fat 32.85% (17-44%) and mean blood glucose levels 123mg (99-216mg). It was concluded that the mean body mass index, body fat percentage, and instantaneous blood glucose levels were higher in urban than rural communities. This can be used as a basis for educational management to prevent the risk of metabolic syndrome. It is necessary to develop intervention management in managing the risk of metabolic syndrome in further community service activities by taking into account regional characteristics.

Keywords

Body Fat; Blood Glucose Levels; Body Mass Index; Diabetes Mellitus; Obesity;

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References

Alexander, C. M., Landsman, P. B., Teutsch, S. M., & Haffner, S. M. (2003). NCEP-defined metabolic syndrome, diabetes, and prevalence of coronary heart disease among NHANES III participants age 50 years and older. Diabetes, 52(5), 1210-1214. https://doi.org/10.2337/diabetes.52.5.1210

Aung, W. P., Htet, A. S., Bjertness, E., Stigum, H., Chongsuvivatwong, V., & Kjøllesdal, M. K. R. (2018). Urban–rural differences in the prevalence of diabetes mellitus among 25–74 year-old adults of the Yangon Region, Myanmar: Two cross-sectional studies. BMJ Open, 8(3), e020406. https://doi.org/10.1136/bmjopen-2017-020406

Cameron, A. J., Zimmet, P. Z., Dunstan, D. W., Dalton, M., Shaw, J. E., Welborn, T. A., Owen, N., Salmon, J., & Jolley, D. (2003). Overweight and obesity in Australia: the 1999–2000 Australian diabetes, obesity and lifestyle study (AusDiab). Medical journal of Australia, 178(9), 427-432. https://doi.org/10.5694/j.1326-5377.2003.tb05283.x

CDC. (2023a). Adult Obesity Facts. Centers for Diesase Control and Prevention. Retrieved 11 Oktober 2023 from https://www.cdc.gov/obesity/data/adult.html#:~:text=Obesity%20affects%20some%20groups%20more%20than%20others&text=The%20obesity%20prevalence%20was%2039.8,adults%20aged%2060%20and%20older

CDC. (2023b). Diabetes Tests. Centers for Disease Control and Prevention. Retrieved 12 Oktober 2023 from https://www.cdc.gov/diabetes/basics/getting-tested.html

Ekaningrum, A. Y. (2022). Perbedaan Faktor Risiko Obesitas di Pedesaan dan Perkotaan pada Orang Dewasa di Indonesia; Analisis Data Riskesdas 2018. Jurnal Ilmiah Kesehatan Masyarakat: Media Komunikasi Komunitas Kesehatan Masyarakat, 14(4), 185-192. https://doi.org/10.52022/jikm.v14i4.377

Flegal, K. M., Carroll, M. D., Ogden, C. L., & Johnson, C. L. (2002). Prevalence and trends in obesity among US adults, 1999-2000. Jama, 288(14), 1723-1727. https://doi.org/10.1001/jama.288.14.1723

Grundy, S. M. (1998). Multifactorial causation of obesity: implications for prevention. The American journal of clinical nutrition, 67(3), 563S-572S.

Hamasaki, H. (2016). Daily physical activity and type 2 diabetes: A review. World journal of diabetes, 7(12), 243. https://doi.org/10.4239/wjd.v7.i12.243

Handajani, A., Roosihermatie, B., & Maryani, H. (2010). Faktor-faktor yang berhubungan dengan pola kematian pada penyakit degeneratif di Indonesia. Buletin penelitian sistem kesehatan, 13(1), 21301. https://doi.org/10.22435/bpsk.v13i1 Jan.2755

Indra, M. R. (2006). Dasar genetik obesitas viseral. Jurnal Kedokteran Brawijaya, 22(1), 10-17. https://doi.org/10.21776/ub.jkb.2006.022.01.3

Inoue, S., Zimmet, P., Caterson, I., Chunming, C., Ikeda, Y., Khalid, A., & Kim, Y. (2000). The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia Pty Ltd.

Johnson III, J. A., & Johnson, A. M. (2015). Urban-rural differences in childhood and adolescent obesity in the United States: a systematic review and meta-analysis. Childhood obesity, 11(3), 233-241. https://doi.org/10.1089/chi.2014.0085

Karpe, F., Dickmann, J. R., & Frayn, K. N. (2011). Fatty acids, obesity, and insulin resistance: time for a reevaluation. Diabetes, 60(10), 2441-2449. https://doi.org/10.2337/db11-0425

Kasuga, M. (2006). Insulin resistance and pancreatic β cell failure. The Journal of clinical investigation, 116(7), 1756-1760. https://doi.org/10.1172/JCI29189

Lin, H.-C., Lin, Y.-J., Liu, T.-C., Chen, C.-S., & Chiu, W.-T. (2007). Urbanization and stroke prevalence in Taiwan: analysis of a nationwide survey. Journal of urban health, 84, 604-614. https://doi.org/10.1007/s11524-007-9195-1

McCarthy, H., Cole, T., Fry, T., Jebb, S., & Prentice, A. (2006). Body fat reference curves for children. International journal of obesity, 30(4), 598-602.

Mendez, M. A., Monteiro, C. A., & Popkin, B. M. (2005). Overweight exceeds underweight among women in most developing countries. The American journal of clinical nutrition, 81(3), 714-721.

Nurzakiah, N., Achadi, E., & Sartika, R. A. (2010). Faktor risiko obesitas pada orang dewasa urban dan rural. Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal), 5(1), 29-35. https://doi.org/10.21109/kesmas.v5i1.159

Palmer, M. K., & Toth, P. P. (2019). Trends in Lipids, Obesity, Metabolic Syndrome, and Diabetes Mellitus in the United States: An NHANES Analysis (2003-2004 to 2013-2014). Obesity, 27(2), 309-314. https://doi.org/10.1002/oby.22370

Putri, P. M. (2017). Pengaruh Indeks Massa Tubuh (IMT) Dan Rasio Lingkar Pinggang Pinggul Terhadap Kadar Gula Darah Puasa Di Kelurahan Ajibarang Kulon Banyumas. Sainteks, 12(2). https://doi.org/10.30595/sainteks.v12i2.1486

Safiq, A., & Fikawati, S. (2020). Perbedaan Status Gizi Dan Kesehatan Pralansia Dan Lansia Di Puskesmas Cipayung Depok. Penelitian Gizi dan Makanan (The Journal of Nutrition and Food Research), 43(2), 89-100.

Saraswati, I., & Dieny, F. F. (2012). Perbedaan Karakteristik Usia, Asupan Makanan, Aktivitas Fisik, Tingkat Sosial Ekonomi Dan Pengetahuan Gizi Pada Wanita Dewasa Dengan Kelebihan Berat Badan Antara Di Desa Dan Kota Diponegoro University].

Saraswati, S. K., Rahmaningrum, F. D., Pahsya, M. N. Z., Paramitha, N., Wulansari, A., Ristantya, A. R., Sinabutar, B. M., Pakpahan, V. E., & Nandini, N. (2021). Literature Review: Faktor Risiko Penyebab Obesitas. Media Kesehatan Masyarakat Indonesia, 20(1), 70-74. https://doi.org/10.14710/mkmi.20.1.70-74

Seiglie, J. A., Marcus, M.-E., Ebert, C., Prodromidis, N., Geldsetzer, P., Theilmann, M., Agoudavi, K., Andall-Brereton, G., Aryal, K. K., & Bicaba, B. W. (2020). Diabetes prevalence and its relationship with education, wealth, and BMI in 29 low-and middle-income countries. Diabetes care, 43(4), 767-775. https://doi.org/10.2337/dc19-1782

Trung, N. N., Chu, D.-T., & Hanh, N. T. H. (2019). Percentage body fat is as a good indicator for determining adolescents who are overweight or obese: a cross-sectional study in Vietnam. Osong public health and research perspectives, 10(2), 108. https://doi.org/10.24171/j.phrp.2019.10.2.10.

WHO. (2000). Obesity: preventing and managing the global epidemic. World Health Organization technical report series, 894, 1-253.

Xia, M., Liu, K., Feng, J., Zheng, Z., & Xie, X. (2021). Prevalence and risk factors of type 2 diabetes and prediabetes among 53,288 middle-aged and elderly adults in China: A cross-sectional study. Diabetes, Metabolic Syndrome and Obesity, 1975-1985. https://doi.org/10.2147/DMSO.S305919

Zulkarnain, A., & Alvina, A. (2020). Hubungan kebiasaan berolahraga dan merokok dengan obesitas abdominal pada karyawan usia produktif. Jurnal Biomedika Dan Kesehatan, 3(1), 21-27. https://doi.org/10.18051/JBiomedKes.2020.v3.21-27

DOI: https://doi.org/10.21776/10.21776/ub.caringjpm.2024.004.01.1