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Effects of glycemic load on metabolic risk markers in subjects at increased risk of developing metabolic syndrome
Oleh:
Vrolix, Ruth
;
Mensink, Ronald P.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
The American Journal of Clinical Nutrition vol. 92 no. 02 (Aug. 2010)
,
page 366-374.
Topik:
Nutritional support
;
low glycemic index (GI)
;
glycemic load (GL)
;
carbohydrate
Ketersediaan
Perpustakaan FK
Nomor Panggil:
A07.K.2010.02
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Background: Epidemiologic studies suggest that diets with a low glycemic index (GI) or glycemic load (GL) are associated with a decreased risk of developing metabolic syndrome. Intervention studies are inconsistent, however, possibly due to differences in macronutrient and fiber compositions of the experimental diets. Objective: We tested side-by-side test foods with similar macronutrient and fiber compositions but with different sucrose-flour ratios or carbohydrate source to determine the effects of different GIs and GLs on metabolic risk markers in overweight subjects. Design: Overweight men (n = 9) and women (n = 6) received in random order for 11 wk 4 test foods with an increased GI or a decreased GI (69 compared with 40, 86 compared with 48, 63 compared with 37, and 51 compared with 20, respectively). There was a GL difference of 32 units between the 2 interventions. Results: At the end of the 11-wk intervention periods, the decreased GL test foods did not change fasting plasma glucose (mean ± SD: 5.83 ± 0.6 compared with 5.94 ± 0.6 mmol/L) or insulin (8.3 ± 2.8 compared with 9.8 ± 5.1 mU/L) concentrations compared with increased GL test foods. Serum total cholesterol (5.56 ± 0.90 compared with 5.76 ± 1.04 mmol/L), LDL-cholesterol (3.57 ± 0.72 compared with 3.68 ± 0.80 mmol/L), HDL-cholesterol (1.21 ± 0.38 compared with 1.24 ± 0.37 mmol/L), and triacylglycerol (1.61 ± 0.77 compared with 1.78 ± 1.04 mmol/L) concentrations were also not significantly different for decreased and increased GL test foods, respectively. Finally, proinflammatory (high-sensitivity C-reactive protein, interleukin-6, tumor necrosis factor-a, monocyte chemoattractant protein 1) and prothrombotic (plasminogen activator inhibitor 1) markers were not affected. Glucose and lipids were also analyzed after 1 and 5 wk of intervention and were not affected by the intervention. Conclusion: When incorporated into a habitual diet, consumption of test foods with a decreased GL does not ameliorate metabolic risk markers in overweight subjects.
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