Main Article Content

Abstract

Obesity is a problem in various parts of the world where its prevalence is increasing rapidly, both in developed and developing countries Obesity can occur because of an imbalance between the energy from the food that comes in, which is greater than the energy used by the body. This study aimed to see the characteristics of obesity and central obesity in adult society in urban areas of Indonesia. This study used a cross-sectional study, by analyzing advanced data on Basic Health Research (Riskesdas) in the biomedical field. The results of this study indicated that in general obesity and central obesity increase with age, with the highest prevalence being at the age of 40-59 years. Both obesity and central obesity were more prevalent in female subjects. Obesity and central obesity were also more common among subjects who graduated from high school and who work as housewives. Subjects of obesity and central obesity experienced more abnormalities in biomedical examination than those with normal BMI and abdominal circumference. For this reason, it is advisable to maintain a normal BMI and abdominal circumference, especially for adults. This study proves that there are significant differences in biomedical examination in those who are obese and not obese.

Keywords

urban communities characteristic obesity central obesity

Article Details

Author Biographies

Septiyanti, Universitas Muslim Indonesia

Peminatan Gizi Kesehatan Masyarakat, Universitas Muslim Indonesia

https://scholar.google.co.id

Seniwati, Universitas Hasanuddin

Departemen Kimia, Universitas Hasanuddin

How to Cite
Septiyanti, S., & Seniwati, S. (2020). Obesity and Central Obesity in Indonesian Urban Communities. Jurnal Ilmiah Kesehatan, 2(3), 118-127. https://doi.org/10.36590/jika.v2i3.74
References
  1. Al-Safi ZA, Polotsky AJ. 2015. Obesity and Menopause, Best Practice & Research Clinical Obstetrics & Gynaecology, 29(4): 548–553.
  2. Bener A, Yousazsai MT, Darwish S, Al-Hamaq A, Abdullah OAA, Nasrallah, Eman A, Abdul Ghani M. 2013. Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio, Journal of obesity. Hindawi.
  3. Canning KL, Brown RE, Jamnik VK, Kuk JL. 2014. Relationship Between Obesity and Obesity-Related Morbidities Weakens With Aging. The Journals of Gerontology: Series A, 69(1): 87–92.
  4. Davis SR, Castelo-Branco C, Chedraui P, Lumsden MA, Nappi RE, Shah D, Villaseca P. 2012. Understanding weight gain at menopause. Climacteric. Taylor & Francis, 15(5): 419–429.
  5. Du T, Sun X, Yin P, Huo R, Ni C, Yu X. 2013. Increasing trends in central obesity among Chinese adults with normal body mass index, 1993-2009. BMC Public Health, 13(1).
  6. Engin A. 2017. The definition and prevalence of obesity and metabolic syndrome’, in Obesity and lipotoxicity. Springer, pp. 1–17.
  7. Feingold KR dan Grunfeld C. 2018. Obesity and dyslipidemia, in Endotext [Internet]. MDText. com, Inc.
  8. Gentile M, Iannuzzo G, Mattiello A, Rubba F, Panico S. 2017. Association between body shape index and small dense LDL particles in a cohort of mediterranean women: findings from Progetto Atena, Journal of Clinical Biochemistry and Nutrition. Society For Free Radical Research Japan, 61(2): 130–134.
  9. Hou X, Lu J, Weng J, Ji L, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J. 2013. Impact of waist circumference and body mass index on risk of cardiometabolic disorder and cardiovascular disease in Chinese adults: a national diabetes and metabolic disorders survey. PloS one. Public Library of Science, 8(3): e57319.
  10. Janssen I, Katzmarzyk PT, Ross R. 2004. Waist circumference and not body mass index explains obesity-related health risk. The American journal of clinical nutrition. Oxford University Press, 79(3): 379–384.
  11. Kandala NB, Stranges S. 2014. Geographic variation of overweight and obesity among women in Nigeria: a case for nutritional transition in sub-Saharan Africa. PloS one. Public Library of Science, 9(6): e101103.
  12. Kim E, Oh SW. 2012. Gender differences in the association of occupation with metabolic syndrome in Korean adults. The Korean Journal of Obesity. Korean Society for the Study of Obesity, 21(2): 108–114.
  13. Kolahi AA, Moghisi A, Ekhtiari YS. 2018. Socio-demographic determinants of obesity indexes in Iran: findings from a nationwide STEPS survey. Health promotion perspectives. Tabriz University of Medical Sciences, 8(3): 187.
  14. Mannan M, Mamun A, Doi S, Clavarin A. 2016. Is there a bi-directional relationship between depression and obesity among adult men and women? Systematic review and bias-adjusted meta analysis, Asian Journal of Psychiatry, 21: 51–66.
  15. Medina-Remón A, Kirwan R, Lamuela-Raventos, Rosa M, Estruch R. 2018. Dietary patterns and the risk of obesity, type 2 diabetes mellitus, cardiovascular diseases, asthma, and neurodegenerative disease. Critical reviews in food science and nutrition. Taylor & Francis, 58(2): 262–296.
  16. Milanović Z, Pantelić S, Trajković N, Sporiš G, Kostić R, James N. 2013. Age-related decrease in physical activity and functional fitness among elderly men and women. Clinical interventions in aging. 2013/05/21. Dove Medical Press, 8: 549–556.
  17. Moreira GC, Cipullo JP, Ciorlia LAS, Cesarino CB, Vilela-Martin JF. 2014. Prevalence of metabolic syndrome: association with risk factors and cardiovascular complications in an urban population. PloS one. Public Library of Science, 9(9): e105056.
  18. Moreira PL, Corrente JE, Villas Boas PJF, Ferreira ALA. 2014. Dietary patterns are associated with general and central obesity in elderly living in a Brazilian city. Revista da Associação Médica Brasileira. Scielo. 457–464.
  19. Munro, Irene A, Garg LM. 2011. Weight loss and metabolic profiles in obese individuals using two different approaches. Food & Function, 2: 611–616.
  20. Navadeh S, Sajadi L, Mirzazade A, Asgari F, Haghazali M. 2011. Housewives’ obesity determinant factors in iran; national survey-stepwise approach to surveillance. Iranian journal of public health. Tehran University of Medical Sciences, 40(2): 87.
  21. Nurjanah NAL, Wahyono TYM. 2019. Tantangan Pelaksanaan Program Prevention Of Mother To Child Transmission (PMTCT): Systematic Review, Jurnal Kesehatan Vokasional, 4(1): 55.
  22. Rachmawati PA, Murbawani EA. 2015. Hubungan asupan zat gizi, aktivitas fisik, dan persentase lemak tubuh dengan gangguan siklus menstruasi pada penari. Diponegoro University.
  23. Robles B, Frost S, Moore L, Harris CV, Bradlyn AS, Kuo T. 2014. Overweight and obesity among low-income women in rural West Virginia and urban Los Angeles County. Preventive medicine. Elsevier, 67: S34–S39.
  24. Saboo B, Talaviya P, Chandarana H, Shah S, Vyas C, Nayak H. 2014. Prevalence of obesity and overweight in housewives and its relation with household activities and socio-economical status. Journal of Obesity and Metabolic Research, 1(1): 20–24.
  25. Sandjaja dan Sudikno. 2014. Prevalensi gizi lebih dan obesitas penduduk dewasa di Indonesia. Gizi Indonesia, 28(2): 1–7.
  26. Seidell JC, Halberstadt J. 2015. The global burden of obesity and the challenges of prevention. Annals of Nutrition and Metabolism, 66(suppl 2): 7–12.
  27. Septiyanti S, Jafar N, Hendrayati H. 2020. Hubungan status sosial ekonomi dengan sindrom metabolik pada pasien Rawat Jalan RSUD Labuang Baji Kota Makassar. Indonesian Journal of Health, 1(1): 43–52.
  28. Sudargo T, Freitag H, Rosiyani F, Kusmayanti NA. 2014. Pola makan dan obesitas. Yogyakarta: Gadjah Mada University Press.