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Sugar-sweetened beverages as risk factor of central obesity among women in reproductive age

Nabila Rifka Annisa  -  Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia
*Fillah Fithra Dieny  -  Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia
Choirun Nissa  -  Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia
A. Fahmy Arif Tsani  -  Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia
Received: 1 Nov 2019; Published: 2 Jun 2020.

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Background: Several risk factors for central obesity include high Sugar-sweetened Beverages (SSBs) intake, lack of physical activity, and lack of sleep duration. High fructose corn syrup, the sweetener used in SSBs, increase body weight because of the bad effect of insulin secretion and leptin release. The fructose from this beverage can increase visceral adiposity accumulation.

Objectives: This study aimed to analyze the intake of Sugar-sweetened Beverages (SSBs), physical activity, and sleep duration as risk factors for central obesity among women in the reproductive Age

Methods: This study used case-control design consists of 38Subjects in case and control groups. All women were in childbearing age (20-29 years) selected using a simple random sampling technique. The data taken were weight, height, waist circumference, and hip circumference. Food intake and sugar-sweetened beverage intake were obtained by using Semi-Quantitative Food Frequency (SQ-FFQ) questionnaire. Physical activity data were obtained using the International Physical Activity Questionnaire (IPAQ) questionnaire. Sleep duration data were obtained using the Pittsburgh Sleep Quality Index (PSQI). Chi-Square test and logistic regression were used to analyze the data.

Results: There were a significant relationship between Sugar Sweetened Beverages intake (p = 0.002, OR =5.926), energy intake of SSBs (p = 0.035, OR = 2.979) physical activity (p = 0.035, OR = 0.3111), duration of morning sleep / afternoon (p = 0.000; OR = 9.44) and sleep duration (p = 0.028, OR = 4.42) with central obesity. But there were no significant relationship between energy intake (p = 0.375), carbohydrates (p = 0.1), protein (p = 0.3), fat (p = 0.1) and fibers with central obesity.

Conclusion: High intake of sugar-sweetened beverages, short duration of night's sleep and the duration>2 hours/day of a long day sleep are risk factors for increasing the incidence of central obesity among Women in reproductive Age.

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Keywords: sugar-sweetened beverages; physical activity; sleep duration; central obesity; reproductive age
Funding: Diponegoro University

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  1. Brown JE, Issacs JS, Krinke UB, Lechtenberg E, Murtaugh MA, Sharbaugh C.,Wooldrodge NH. Nutrition Through The Life Cycle. Wadsworth Belmont; 2011
  2. Kulie T, Slattengren A, Redmer J, Counts H, Eglash A & Schrager S. Obesity and women's health: an evidence-based review. The Journal of the American Board of Family Medicine. 2011;24(1):75-85
  3. Messinis IE, Messini CI, Anifandis G & Dafopoulos K. Polycystic ovaries and obesity. Best Pract Res Clin Obstet Gynaecol. 2015;29(4):479-88
  4. Pusat Penelitian dan Pengembangan Kesehatan. Riset Kesehatan Dasar Tahun 2013. Jakarta: 2013
  5. Best Start Resource Centre. Obesity in Preconception and Pregnancy. Canada; 2013. 12-4 p
  6. Galtier-Dereure F, Boegnera C, & Bringer J. Obesity and pregnancy: complications and cost. Am J Clin Nutr. 2007;71:1242-8
  7. Diana R, Yuliana I, Yasmin G & Hardinsyah. Risk factors of overweight among Indonesian women. Jurnal Gizi dan Pangan. 2013;8(1):1-8
  8. Mirmiran P, Ejtahed HS, Bahadoran Z, Bastan S & Azizi F. Sugar-sweetened beverage consumption and risk of general and abdominal obesity in iranian adults: tehran lipid and glucose study. Iran J Public Health. 2015;44(11):1535-43
  9. Sudikno, Syarief H, Dwiriani CM & Riyadi H. Risk factors of central obesity in adults age 25-65 years in indonesia (basic health research data analysis 2013). Penelitian Gizi dan Makanan. 2015;38(2):111-20
  10. Theorell-Haglöw J, Berne C, Janson C, Sahlin C & Lindberg E. Associations between short sleep duration and central obesity in women. Sleep. 2010;33(5):593-8
  11. Centers for Disease Control and Prevention. The CDC Guide to Strategies for Reducing the Consumption of Sugar-Sweetened Beverages. 2010
  12. Malik VS, Schulze MB & Hu FB. Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr. 2006;84(2):274-88
  13. Sugianti E, Hardinsyah & Afriansyah N. Faktor risiko obesitas sentral pada orang dewasa di DKI Jakarta : analisis lanjut data RISKESDAS 2007. Gizi Indon. 2009;32(2):105-16
  14. Koh-Banerjee P, Chu, NF, Spiegelmen D, Rosner B, Colditz G, Willett W & Rimm E. Prospective study of the association of changes in dietary intake, physical activity, alcohol consumption, and smoking with 9-y gain in waist circumference among 16 587 US men. Am J Clin Nutr .2003;78(4):719-27
  15. Gradisar M, Gardner G & Dohnt H. Recent worldwide sleep patterns and problems during adolescence: A review and meta- analysis of age, region, and sleep. Sleep Med. 2011;12(2):110-8
  16. Morselli LL, Guyon A & Spiegel K. Sleep and metabolic function. Pflugers Arch. 2012;463(1):139-60
  17. Kementrian Kesehatan Republik Indonesia. Permenkes No. 30 Tahun 2013 Tentang pencantuman informasi kandungan gula garam dan lemak serta pesan kesehatan untuk pangan olahan dan pangan siap saji. Jakarta; 2013
  18. World Health Organisation. Guideline: Sugars Intake for adults and children. Geneva; 2015
  19. Nelms MN, Sucher K, Roth SL, Habash D, Nelms RG, Frazier CL, et al. Nutrition Therapy and Pathophysiology. California Wadsworth; 2011
  20. Cassidy S, Chau JY, Catt M, Bauman A & Trenell MI. Low physical activity, high television viewing and poor sleep duration cluster in overweight and obese adults; a cross-sectional study of 398,984 participants from the UK Biobank. Int J Behav Nutr Phys Act. 2017;14(57):1-10
  21. Safitri D& Sudiarti T. Perbedaan durasi tidur malam pada orang dewasa obesitas dan non obesitas : metaanalisis studi cross sectional 2005-2012. Penelitian Gizi dan Makanan. 2015;38(2):121-32
  22. Dini MAR, Widianti IGA & Wardana ING. Prevalensi obesitas dengan menggunakan metode waist-hip ratio pada mahasiswa program studi pendidikan dokter fakultas kedokteran universitas udayana angkatan 2014. Bali Anatomy Journal. 2018;1(1):9-11
  23. Bray GA & Bouchard C. Handbook of Obesity Epidemiology, Etiology, and Physiopthology (Vol. 1). USA: CRC Press. 2014
  24. Deliens T, Clarys P, De Bourdeaudhuij l & Deforche B. Determinants of eating behaviour in university students: a qualitative study using focus group discussions. BMC Public Health. 2014;14(53):9-11
  25. Rosinger A, Herrick K, Gahche J & Park S. Sugar-sweetened beverage consumption among U.S. adults, 2011–2014. NCHS Data Brief. 2017; 270:1-8
  26. Chan TF, Lin WT, Huang HL, Lee CY, Wu PW, Chiu YW, et al. Consumption of sugar-sweetened beverages is associated with components of the metabolic syndrome in adolescents Nutrients. 2014;6:2088-103
  27. Olsen NJ, Andersen LB, Wedderkopp N, Kristensen PL, Heitmann, BL. Intake of liquid and solid sucrose in relation to changes in body fatness over 6 years among 8- to 10-year-old children: the european youth heart study: the european youth heart study. Obesity Facts. 2012;5:506-12
  28. Pereira MA. Sugar-sweetened and artificially-sweetened beverages in relation to obesity risk. Adv Nutr. 2014; 5(6):797-803
  29. Mcmillan J & Brand-Miller JC. Low-glycaemic index diets and body weight regulation. International Journal Obesity. 2006;30:S40-6
  30. Deliens T, Deforche B, De Bourdeaudhuij I & Clarys P. Determinants of physical activity and sedentary behaviour in university students: a qualitative study using focus group discussions. BMC Public Health. 2015;15(201)
  31. Hajian‐Tilaki KO & Heidari B. Prevalence of obesity, central obesity and the associated factors in urban population aged 20-70 years, in the north of Iran: a population-based study and regression approach. Obes Rev. 2007;8(1):3-10
  32. Trisna I & Hamid S. Faktor-faktor yang berhubungan dengan obesitas sentral pada wanita dewasa (30-50 Tahun) di kecamatan Lubuk Sikaping tahun 2008. Andalas Journal of Public Health. 2009;3(2):68-71
  33. Ross R, Janssen I, Dawson J, Kungl AM, Kuk JL, Nguyen-Duy TB, et al. Exercise-induced reduction in obesity and insulin resistance in women: a randomized controlled trial. Obes Res. 2004;12(5):789-98
  34. Strasser B. Physical activity in obesity and metabolic syndrome. Ann N Y Acad Sci. 2013;1281(1);141-59
  35. Wunsch K, Kasten N & Fuchs R. The effect of physical activity on sleep quality, well-being, and affect in academic stress periods. Nat Sci Sleep. 2017;9:117-26
  36. Ramadhaniah, Julia M & Huriyati E. Durasi tidur, asupan energi dan aktivitas fisik dengan kejadian obesitas pada tenaga kesehatan puskesmas. Jurnal Gizi Klinik Indonesia. 2014;11(2):85-96
  37. Najafian J, Mohammadifard N, Siadat ZD, Sadri G, Ramazani M & Nouri F. Association between sleep duration and body mass index and waist circumference. Iran Journal Medical Science. 2010;35(2);140-44
  38. Gradisar M, Wolfson AR, Harvey AG, Hale L, Rosenberg R & Czeisler CA. The sleep and technology use of americans: findings from the national sleep foundation’s 2011 sleep in America Poll. J Clin Sleep Med. 2013;9(12):1291-9
  39. Mandriyarini R, Sulchan M & Nissa C. Sedentary lifestyle sebagai faktor risiko kejadian obesitas pada remaja SMA stunted di Kota Semarang. Journal of Nutrition College. 2017;6(2):149-55

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