•  
  •  
 

Abstract

Obesity is a global health challenge that seriously affects developing countries, including Indonesia. It is important to discover the energy balance calculated from energy intake and energy expenditure in obese individuals, especially in obese healthcare workers. This study aimed to analyze the balance of energy intake and expenditure, body composition, and physical activity level in obese healthcare workers at the Exercise Center of Indonesia Medical Education and Research Institute (IMERI FKUI). A cross-sectional study was held at Exercise Center IMERI FKUI. Total sampling was the sampling method utilized in the study. Study participants (aged above 18 years) were screened by measuring body composition, and obesity status was determined based on BMI data (≥25 kg/m2 ). The selected subjects were then administered for data collection on body composition using the multi-frequency bioelectrical impedance analysis (MF-BIA) instrument, energy intake using the MyFitnessPal (MFP) application, as well as energy expenditure and physical activity level using the IPAQ-SF tool. From a total of 12 obese healthcare workers at the Exercise Center, 11 (91.67%) participants had a negative energy balance, and 1 (8.33%) participant had a positive energy balance during a 7-day period of data collection. In addition, the average body composition components and physical activity levels vary between men and women participants. Overall, a majority of the obese healthcare workers at the Exercise Center reported a negative energy balance.

References

  1. Harbuwono D, Pramono L, Yunir E, Subekti I. Obesity and central obesity in Indonesia: evidence from a national health survey. Medical Journal of Indonesia. 2018;27:53. Available from: https://mji.ui.ac.id/journal/index.ph p/mji/article/view/1512/1235 DOI: 10.13181/mji.v27i2.1512
  2. Rachmi CN, Li M, Alison Baur L. Overweight and obesity in Indonesia: prevalence and risk factors-a literature review. Public health. 2017;147:20-9. Available from: https://pubmed.ncbi.nlm.nih.gov/28 404492/ DOI: 10.1016/j.puhe.2017.02.002
  3. Smith MK, Christianto E, Staynor JMD. Obesity and visceral fat in Indonesia: An unseen epidemic? A study using iDXA and surrogate anthropometric measures. Obesity research & clinical practice. 2021;15(1):26-32. Available from: https://pubmed.ncbi.nlm.nih.gov/33 234489/ DOI: 10.1016/j.orcp.2020.11.003
  4. Sudikno, Elisa Diana J, Yunita Diana S, Yurista Permana S, editors. The Relationship of Physical Activities on Obesity in Adults in Indonesia. Proceedings of the 4th International Symposium on Health Research (ISHR 2019); 2020 2020/02/22: Atlantis Press. Available from: https://www.atlantis-press.com/proceedings/ishr-19/125934957 DOI: 10.2991/ahsr.k.200215.019
  5. WHO. Obesity and overweight [updated 9 June 2021]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
  6. Lim JU, Lee JH, Kim JS, Hwang YI, Kim TH, Lim SY, et al. Comparison of World Health Organization and Asia-Pacific body mass index classifications in COPD patients. International journal of chronic obstructive pulmonary disease. 2017;12:2465-75. Available from: https://www.ncbi.nlm.nih.gov/pmc/ articles/PMC5571887/ DOI: 10.2147/COPD.S141295
  7. Kemenkes. Laporan Provinsi DKI Jakarta Riskesdas 2018. Jakarta, Indonesia: Lembaga Penerbit Badan Penelitian dan Pengembangan Kesehatan (LPB); 2019. Available from: http://repository.litbang.kemkes.go.id/3881/1/CETAK%20LAPORAN%20RISKESDAS%20DKI%202018.pdf
  8. Sudargo T, Freitag H, Kusmayanti NA, Rosiyani F. Pola Makan dan Obesitas: UGM PRESS; 2018. Available from: https://www.google.co.id/books/edition/Pola_Makan_dan_Obesitas/kNBWDwAAQBAJ?hl=en&gbpv=0
  9. Dewi NU, Tanziha I, Solechah S, Bohari B. Obesity Determinants and the Policy Implications for the Prevention and Management of Obesity in Indonesia Article History. Current Research in Nutrition and Food Science Journal. 2021;8:2347-467. Available from: https://bit.ly/2K6eCOU DOI: 10.12944/CRNFSJ.8.3.22
  10. Rippe JM, Foreyt JP, editors. Obesity Prevention and Treatment: A Practical Guide. 1st ed: CRC Press; 2021. Available from: https://www.google.co.id/books/edi tion/Obesity_Prevention_and_Treat ment/uQ9DEAAAQBAJ?hl=en&g bpv=0
  11. Ludwig DS, Aronne LJ, Astrup A, de Cabo R, Cantley LC, Friedman MI, et al. The carbohydrate-insulin model: a physiological perspective on the obesity pandemic. The American journal of clinical nutrition. 2021;114(6):1873-85. Available from: https://academic.oup.com/ajcn/artic le/114/6/1873/6369073 DOI: 10.1093/ajcn/nqab270
  12. Chourdakis M. Obesity: Assessment and prevention: Module 23.2 from Topic 23 "Nutrition in obesity". Clinical nutrition ESPEN. 2020;39:1-14. Available from: https://pubmed.ncbi.nlm.nih.gov/32 859301/ DOI: 10.1016/j.clnesp.2020.07.012
  13. Park JH, Moon JH, Kim HJ, Kong MH, Oh YH. Sedentary Lifestyle: Overview of Updated Evidence of Potential Health Risks. Korean journal of family medicine. 2020;41(6):365-73. Available from: https://www.ncbi.nlm.nih.gov/pmc/ articles/PMC7700832/ DOI: 10.4082/kjfm.20.0165
  14. WHO. Physical activity [updated 26 November 2020]. Available from: https://www.who.int/news-room/fact-sheets/detail/physical-activity.
  15. Arsyad DS, Westerink J, Cramer MJ, Ansar J, Wahiduddin, Visseren FLJ, et al. Modifiable risk factors in adults with and without prior cardiovascular disease: findings from the Indonesian National Basic Health Research. BMC public health. 2022;22(1):660. Available from: https://bmcpublichealth.biomedcent ral.com/articles/10.1186/s12889- 022-13104-0 DOI: 10.1186/s12889- 022-13104-0
  16. Puhl RM, Gold JA, Luedicke J, DePierre JA. The effect of physicians' body weight on patient attitudes: implications for physician selection, trust and adherence to medical advice. International journal of obesity (2005). 2013;37(11):1415-21. Available from: https://pubmed.ncbi.nlm.nih.gov/23 507996/ DOI: 10.1038/ijo.2013.33
  17. Septiyanti S, Seniwati S. Obesity and Central Obesity in Indonesian Urban Communities. Jurnal Ilmiah Kesehatan (JIKA). 2020;2(3):118- 27. Available from: https://salnesia.id/jika/article/view/ 74 DOI: 10.36590/jika.v2i3.74
  18. Baumgartner RN. Body composition in healthy aging. Annals of the New York Academy of Sciences. 2000;904:437-48. Available from: https://pubmed.ncbi.nlm.nih.gov/10 865787/ DOI: 10.1111/j.1749- 6632.2000.tb06498.x
  19. Batsis JA, Zagaria AB. Addressing Obesity in Aging Patients. The Medical clinics of North America. 2018;102(1):65-85. Available from: https://www.ncbi.nlm.nih.gov/pmc/ articles/PMC5724972/ DOI: 10.1016/j.mcna.2017.08.007
  20. Cooper AJ, Gupta SR, Moustafa AF, Chao AM. Sex/Gender Differences in Obesity Prevalence, Comorbidities, and Treatment. Current obesity reports. 2021;10(4):458-66. Available from: https://pubmed.ncbi.nlm.nih.gov/34599745/ DOI: 10.1007/s13679-021- 00453-x
  21. Kapoor N, Arora S, Kalra S. Gender Disparities in People Living with Obesity - An Unchartered Territory. Journal of mid-life health. 2021;12(2):103-7. Available from: https://pubmed.ncbi.nlm.nih.gov/34 526743/ DOI: 10.4103/jmh.jmh_48_21
  22. Nurwanti E, Uddin M, Chang J-S, Hadi H, Syed-Abdul S, Su EC-Y, et al. Roles of Sedentary Behaviors and Unhealthy Foods in Increasing the Obesity Risk in Adult Men and Women: A Cross-Sectional National Study. 2018;10(6):704. Available from: https://pubmed.ncbi.nlm.nih.gov/29 857537/ DOI: 10.3390/nu10060704
  23. Pantaleão TU, Mousovich F, Rosenthal D, Padrón AS, Carvalho DP, da Costa VM. Effect of serum estradiol and leptin levels on thyroid function, food intake and body weight gain in female Wistar rats. Steroids. 2010;75(10):638-42. Available from: https://www.sciencedirect.com/scie nce/article/abs/pii/S0039128X1000 0772 DOI: 10.1016/j.steroids.2010.03.009
  24. Geary N, Lovejoy J. Sex Differences in Energy Metabolism, Obesity, and Eating Behavior. In: Becker JB, Berkley KJ, Geary N, Hampson E, Herman JP, Young E, editors. Sex Differences in the Brain: From Genes to Behavior: Oxford University Press; 2007. p. 0. Available from: https://www.researchcollection.ethz.ch/handle/20.500.11 850/12604 DOI: 10.1093/acprof:oso/978019531158 7.003.0013
  25. Brunani A, Simone P, Davide S, Mariangela R, Antonella Z, Simona B, et al. Body composition assessment using bioelectrical impedance analysis (BIA) in a wide cohort of patients affected with mild to severe obesity. Clinical Nutrition. 2021;40. Available from: https://pubmed.ncbi.nlm.nih.gov/34 139470/ DOI: 10.1016/j.clnu.2021.04.033
  26. Holmes CJ, Racette SB. The Utility of Body Composition Assessment in Nutrition and Clinical Practice: An Overview of Current Methodology. Nutrients. 2021;13(8). Available from: https://pubmed.ncbi.nlm.nih.gov/34 444653/ DOI: 10.3390/nu13082493
  27. Power ML, Schulkin J. Sex differences in fat storage, fat metabolism, and the health risks from obesity: possible evolutionary origins. British Journal of Nutrition. 2008;99(5):931-40. Available from: https://pubmed.ncbi.nlm.nih.gov/17 977473/ DOI: 10.1017/S0007114507853347
  28. Roh E, Choi KM. Health Consequences of Sarcopenic Obesity: A Narrative Review. Frontiers in endocrinology. 2020;11:332. Available from: https://www.ncbi.nlm.nih.gov/pmc/ articles/PMC7253580/ DOI: 10.3389/fendo.2020.00332
  29. Lutski M, Weinstein G, Tanne D, Goldbourt U. Overweight, Obesity, and Late-Life Sarcopenia Among Men With Cardiovascular Disease, Israel. Preventing chronic disease. 2020;17:E164. Available from: https://www.cdc.gov/pcd/issues/20 20/20_0167.htm DOI: 10.5888/pcd17.200167
  30. Gregor MF, Hotamisligil GS. Inflammatory mechanisms in obesity. Annual review of immunology. 2011;29:415-45. Available from: https://pubmed.ncbi.nlm.nih.gov/21219177/ DOI: 10.1146/annurev-immunol-031210-101322
  31. Cole D. Concepts and Issues in Sports Nutrition: EDTECH; 2019. Available from: https://books.google.co.id/books/about/Concepts_and_Issues_in_Sports_Nutrition.html?id=A4NJEAAAQ BAJ&redir_esc=y
  32. Elfhag K, Rössner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obesity reviews : an official journal of the International Association for the Study of Obesity. 2005;6(1):67- 85. Available from: https://pubmed.ncbi.nlm.nih.gov/15 655039/ DOI: 10.1111/j.1467- 789X.2005.00170.x
  33. Tosi M, Radice D, Carioni G, Vecchiati T, Fiori F, Parpinel M, et al. Accuracy of applications to monitor food intake: Evaluation by comparison with 3-d food diary. 2021;84:111018. Available from: https://pubmed.ncbi.nlm.nih.gov/33 046348/ DOI: 10.1016/j.nut.2020.111018
  34. McCaig D, Elliott MT, Prnjak K, Walasek L, Meyer C. Engagement with MyFitnessPal in eating disorders: Qualitative insights from online forums. International Journal of Eating Disorders. 2020;53(3):404-11. Available from: https://onlinelibrary.wiley.com/doi/ abs/10.1002/eat.23205 DOI: 10.1002/eat.23205
  35. Didžiokaitė G, Saukko P, Greiffenhagen C. Doing Calories: The Practices of Dieting Using Calorie Counting App MyFitnessPal. In: Ajana B, editor. Metric Culture: Emerald Publishing Limited; 2018. p. 137-55. Available from: https://www.emerald.com/insight/c ontent/doi/10.1108/978-1-78743- 289-520181008/full/html DOI: 10.1108/978-1-78743-289- 520181008
  36. Gordon M, Althoff T, Leskovec J, editors. Goal-setting and achievement in activity tracking apps: a case study of MyFitnessPal. The World Wide Web Conference; 2019. Available from: https://www.ncbi.nlm.nih.gov/pmc/ articles/PMC7197296/ DOI: 10.1145/3308558.3313432
  37. Bracken ML, Waite BM. Self-Efficacy and Nutrition-Related Goal Achievement of MyFitnessPal Users. Health Education & Behavior. 2020;47(5):677-81. Available from: https://journals.sagepub.com/doi/ab s/10.1177/1090198120936261 DOI: 10.1177/1090198120936261
  38. Chen J, Berkman W, Bardouh M, Ng CYK, Allman-Farinelli M. The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges. Nutrition (Burbank, Los Angeles County, Calif). 2019;57:208-16. Available from: https://pubmed.ncbi.nlm.nih.gov/30 184514/ DOI: 10.1016/j.nut.2018.05.003
  39. Blüher M. Obesity: global epidemiology and pathogenesis. Nature reviews Endocrinology. 2019;15(5):288-98. Available from: https://pubmed.ncbi.nlm.nih.gov/30 814686/ DOI: 10.1038/s41574-019- 0176-8
  40. Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. The international journal of behavioral nutrition and physical activity. 2011;8:115. Available from: https://pubmed.ncbi.nlm.nih.gov/22 018588/ DOI: 10.1186/1479-5868- 8-115
  41. Wanner M, Probst-Hensch N, Kriemler S, Meier F, Autenrieth C, Martin BW. Validation of the long international physical activity questionnaire: influence of age and language region. Preventive Medicine Reports. 2016;3:250-6. Available from: https://pubmed.ncbi.nlm.nih.gov/27 419023/ DOI: 10.1016/j.pmedr.2016.03.003
  42. Grimm EK, Swartz AM, Hart T, Miller NE. Comparison of the IPAQ-Short Form and accelerometry predictions of physical activity in older adults. Journal of Aging and Physical Activity. 2012;20(1). Available from: https://pubmed.ncbi.nlm.nih.gov/22 190120/ DOI: 10.1123/japa.20.1.64

Bahasa Abstract

Obesitas merupakan salah satu masalah kesehatan global yang menimpa negara berkembang, termasuk Indonesia, secara serius. Keseimbangan energi yang dihitung dari asupan energi dan pengeluaran energi pada individu dengan obesitas menjadi penting untuk diketahui, terutama pada tenaga kesehatan. Penelitian ini bertujuan untuk menganalisis keseimbangan asupan dan pengeluaran energi, komposisi tubuh, dan tingkat aktivitas fisik pada tenaga kesehatan dengan obesitas di Exercise Center Indonesia Medical Education and Research Institute (IMERI FKUI). Penelitian ini menggunakan desain potong lintang. Total sampling adalah metode pengambilan sampel yang digunakan. Skrining untuk status obesitas subjek (berumur lebih dari 18 tahun) ditentukan berdasarkan data IMT (≥25 kg/m2 ) yang didapatkan dari pengukuran komposisi tubuh. Subjek yang terpilih diambil data komposisi tubuh menggunakan alat multi-frequency bioelectrical impedance analysis (MF-BIA), asupan energi menggunakan aplikasi MyFitnessPal (MFP), serta pengeluaran energi dan tingkat aktivitas fisik menggunakan kuesioner IPAQ-SF. Ditemukan adanya 11 (91,67%) individu yang memiliki keseimbangan energi negatif dan ada 1 (8,33%) individu yang memiliki keseimbangan energi positif dari total 12 tenaga kesehatan dengan obesitas di Exercise Center selama periode 7 hari pengambilan data. Selain itu, rata-rata dari komponen komposisi tubuh dan tingkat aktivitas fisik bervariasi antara subjek laki-laki dan perempuan. Secara keseluruhan, sebagian besar dari tenaga kesehatan dengan obesitas di Exercise Center melaporkan keseimbangan energi negatif.

Download

Share

COinS