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  1. Chua CP
    Med J Malaysia, 1975 Dec;30(2):98-101.
    PMID: 1228389
    Matched MeSH terms: Dietary Carbohydrates/adverse effects
  2. Jenkins DJA, Dehghan M, Mente A, Bangdiwala SI, Rangarajan S, Srichaikul K, et al.
    N Engl J Med, 2021 04 08;384(14):1312-1322.
    PMID: 33626252 DOI: 10.1056/NEJMoa2007123
    BACKGROUND: Most data regarding the association between the glycemic index and cardiovascular disease come from high-income Western populations, with little information from non-Western countries with low or middle incomes. To fill this gap, data are needed from a large, geographically diverse population.

    METHODS: This analysis includes 137,851 participants between the ages of 35 and 70 years living on five continents, with a median follow-up of 9.5 years. We used country-specific food-frequency questionnaires to determine dietary intake and estimated the glycemic index and glycemic load on the basis of the consumption of seven categories of carbohydrate foods. We calculated hazard ratios using multivariable Cox frailty models. The primary outcome was a composite of a major cardiovascular event (cardiovascular death, nonfatal myocardial infarction, stroke, and heart failure) or death from any cause.

    RESULTS: In the study population, 8780 deaths and 8252 major cardiovascular events occurred during the follow-up period. After performing extensive adjustments comparing the lowest and highest glycemic-index quintiles, we found that a diet with a high glycemic index was associated with an increased risk of a major cardiovascular event or death, both among participants with preexisting cardiovascular disease (hazard ratio, 1.51; 95% confidence interval [CI], 1.25 to 1.82) and among those without such disease (hazard ratio, 1.21; 95% CI, 1.11 to 1.34). Among the components of the primary outcome, a high glycemic index was also associated with an increased risk of death from cardiovascular causes. The results with respect to glycemic load were similar to the findings regarding the glycemic index among the participants with cardiovascular disease at baseline, but the association was not significant among those without preexisting cardiovascular disease.

    CONCLUSIONS: In this study, a diet with a high glycemic index was associated with an increased risk of cardiovascular disease and death. (Funded by the Population Health Research Institute and others.).

    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  3. Mente A, Dehghan M, Rangarajan S, McQueen M, Dagenais G, Wielgosz A, et al.
    Lancet Diabetes Endocrinol, 2017 10;5(10):774-787.
    PMID: 28864143 DOI: 10.1016/S2213-8587(17)30283-8
    BACKGROUND: The relation between dietary nutrients and cardiovascular disease risk markers in many regions worldwide is unknown. In this study, we investigated the effect of dietary nutrients on blood lipids and blood pressure, two of the most important risk factors for cardiovascular disease, in low-income, middle-income, and high-income countries.

    METHODS: We studied 125 287 participants from 18 countries in North America, South America, Europe, Africa, and Asia in the Prospective Urban Rural Epidemiology (PURE) study. Habitual food intake was measured with validated food frequency questionnaires. We assessed the associations between nutrients (total fats, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, carbohydrates, protein, and dietary cholesterol) and cardiovascular disease risk markers using multilevel modelling. The effect of isocaloric replacement of saturated fatty acids with other fats and carbohydrates was determined overall and by levels of intakes by use of nutrient density models. We did simulation modelling in which we assumed that the effects of saturated fatty acids on cardiovascular disease events was solely related to their association through an individual risk marker, and then compared these simulated risk marker-based estimates with directly observed associations of saturated fatty acids with cardiovascular disease events.

    FINDINGS: Participants were enrolled into the study from Jan 1, 2003, to March 31, 2013. Intake of total fat and each type of fat was associated with higher concentrations of total cholesterol and LDL cholesterol, but also with higher HDL cholesterol and apolipoprotein A1 (ApoA1), and lower triglycerides, ratio of total cholesterol to HDL cholesterol, ratio of triglycerides to HDL cholesterol, and ratio of apolipoprotein B (ApoB) to ApoA1 (all ptrend<0·0001). Higher carbohydrate intake was associated with lower total cholesterol, LDL cholesterol, and ApoB, but also with lower HDL cholesterol and ApoA1, and higher triglycerides, ratio of total cholesterol to HDL cholesterol, ratio of triglycerides to HDL cholesterol, and ApoB-to-ApoA1 ratio (all ptrend<0·0001, apart from ApoB [ptrend=0·0014]). Higher intakes of total fat, saturated fatty acids, and carbohydrates were associated with higher blood pressure, whereas higher protein intake was associated with lower blood pressure. Replacement of saturated fatty acids with carbohydrates was associated with the most adverse effects on lipids, whereas replacement of saturated fatty acids with unsaturated fats improved some risk markers (LDL cholesterol and blood pressure), but seemed to worsen others (HDL cholesterol and triglycerides). The observed associations between saturated fatty acids and cardiovascular disease events were approximated by the simulated associations mediated through the effects on the ApoB-to-ApoA1 ratio, but not with other lipid markers including LDL cholesterol.

    INTERPRETATION: Our data are at odds with current recommendations to reduce total fat and saturated fats. Reducing saturated fatty acid intake and replacing it with carbohydrate has an adverse effect on blood lipids. Substituting saturated fatty acids with unsaturated fats might improve some risk markers, but might worsen others. Simulations suggest that ApoB-to-ApoA1 ratio probably provides the best overall indication of the effect of saturated fatty acids on cardiovascular disease risk among the markers tested. Focusing on a single lipid marker such as LDL cholesterol alone does not capture the net clinical effects of nutrients on cardiovascular risk.

    FUNDING: Full funding sources listed at the end of the paper (see Acknowledgments).

    Matched MeSH terms: Dietary Carbohydrates/adverse effects
  4. Wu KL, Kuo CM, Yao CC, Tai WC, Chuah SK, Lim CS, et al.
    J Formos Med Assoc, 2018 Nov;117(11):973-978.
    PMID: 29339035 DOI: 10.1016/j.jfma.2017.11.001
    BACKGROUND: Acid changes in gastroesophageal reflux with vary component in the food have less been studied, especially carbohydrate. We plan to clarify the effect of different carbohydrate density on low esophageal acid and reflux symptoms of patients with gastroesophgeal reflux disease.

    METHODS: Twelve patients (52 ± 12 years old; five female) with gastroesophageal reflux disease were recruited for the prospective crossover study. Each patient was invited for panendoscope, manometry and 24 h pH monitor. The two formulated liquid meal, test meal A: 500 ml liquid meal (containing 84.8 g carbohydrate) and B: same volume liquid meal (but 178.8 g carbohydrate) were randomized supplied as lunch or dinner. Reflux symptoms were recorded.

    RESULTS: There are significant statistic differences in more Johnson-DeMeester score (p = 0.019), total reflux time (%) (p = 0.028), number of reflux periods (p = 0.026) and longest reflux (p = 0.015) after high carbohydrate diet than low carbohydrate. Total reflux time and number of long reflux periods more than 5 min are significant more after high carbohydrate diet.

    CONCLUSION: More acid reflux symptoms are found after high carbohydrate diet. High carbohydrate diet could induce more acid reflux in low esophagus and more reflux symptoms in patients with gastroesophageal reflux disease.

    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  5. Shyam S, Wai TN, Arshad F
    Asia Pac J Clin Nutr, 2012;21(2):201-8.
    PMID: 22507605
    This paper outlines the methodology to add glycaemic index (GI) and glycaemic load (GL) functionality to food DietPLUS, a Microsoft Excel-based Malaysian food composition database and diet intake calculator. Locally determined GI values and published international GI databases were used as the source of GI values. Previously published methodology for GI value assignment was modified to add GI and GL calculators to the database. Two popular local low GI foods were added to the DietPLUS database, bringing up the total number of foods in the database to 838 foods. Overall, in relation to the 539 major carbohydrate foods in the Malaysian Food Composition Database, 243 (45%) food items had local Malaysian values or were directly matched to International GI database and another 180 (33%) of the foods were linked to closely-related foods in the GI databases used. The mean ± SD dietary GI and GL of the dietary intake of 63 women with previous gestational diabetes mellitus, calculated using DietPLUS version3 were, 62 ± 6 and 142 ± 45, respectively. These values were comparable to those reported from other local studies. DietPLUS version3, a simple Microsoft Excel-based programme aids calculation of diet GI and GL for Malaysian diets based on food records.
    Matched MeSH terms: Dietary Carbohydrates/adverse effects
  6. Swaminathan S, Dehghan M, Raj JM, Thomas T, Rangarajan S, Jenkins D, et al.
    BMJ, 2021 02 03;372:m4948.
    PMID: 33536317 DOI: 10.1136/bmj.m4948
    OBJECTIVE: To evaluate the association between intakes of refined grains, whole grains, and white rice with cardiovascular disease, total mortality, blood lipids, and blood pressure in the Prospective Urban and Rural Epidemiology (PURE) study.

    DESIGN: Prospective cohort study.

    SETTING: PURE study in 21 countries.

    PARTICIPANTS: 148 858 participants with median follow-up of 9.5 years.

    EXPOSURES: Country specific validated food frequency questionnaires were used to assess intakes of refined grains, whole grains, and white rice.

    MAIN OUTCOME MEASURE: Composite of mortality or major cardiovascular events (defined as death from cardiovascular causes, non-fatal myocardial infarction, stroke, or heart failure). Hazard ratios were estimated for associations of grain intakes with mortality, major cardiovascular events, and their composite by using multivariable Cox frailty models with random intercepts to account for clustering by centre.

    RESULTS: Analyses were based on 137 130 participants after exclusion of those with baseline cardiovascular disease. During follow-up, 9.2% (n=12 668) of these participants had a composite outcome event. The highest category of intake of refined grains (≥350 g/day or about 7 servings/day) was associated with higher risk of total mortality (hazard ratio 1.27, 95% confidence interval 1.11 to 1.46; P for trend=0.004), major cardiovascular disease events (1.33, 1.16 to 1.52; P for trend<0.001), and their composite (1.28, 1.15 to 1.42; P for trend<0.001) compared with the lowest category of intake (<50 g/day). Higher intakes of refined grains were associated with higher systolic blood pressure. No significant associations were found between intakes of whole grains or white rice and health outcomes.

    CONCLUSION: High intake of refined grains was associated with higher risk of mortality and major cardiovascular disease events. Globally, lower consumption of refined grains should be considered.

    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  7. Wong SK, Chin KY, Suhaimi FH, Ahmad F, Jamil NA, Ima-Nirwana S
    Biomed Pharmacother, 2018 Feb;98:191-200.
    PMID: 29257979 DOI: 10.1016/j.biopha.2017.12.042
    This study aimed to investigate the bone quality in rats induced with metabolic syndrome (MetS) using high-carbohydrate high-fat (HCHF) diet. Male Wistar rats (n = 14) were randomized into two groups. The normal group was given standard rat chow. The MetS group was given HCHF diet. Diet regimen was assigned for a period of 20 weeks. Metabolic syndrome parameters were measured monthly until MetS was established. Left tibiae were scanned using micro-computed tomography at week 0, 8, 12, 16, and 20 to analyze the trabecular and cortical bone structure. At the end of the study, rats were euthanized and their bones were harvested for analysis. Metabolic syndrome was established at week 12 in the HCHF rats. Significant deterioration of trabecular bone was observed at week 20 in the HCHF group (p  0.05). Femur length and width in the HCHF group were significantly shorter than the normal group (p 
    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  8. Firouzi S, Poh BK, Ismail MN, Sadeghilar A
    Obes Res Clin Pract, 2014 Jan-Feb;8(1):e70-8.
    PMID: 24548579 DOI: 10.1016/j.orcp.2012.12.001
    This study aimed to determine the association between sleep habits (including bedtime, wake up time, sleep duration, and sleep disorder score) and physical characteristics, physical activity level, and food pattern in overweight and obese versus normal weight children.
    Matched MeSH terms: Dietary Carbohydrates/adverse effects
  9. Ho CY, Ibrahim Z, Abu Zaid Z, Mat Daud Z', Md Yusop NB
    Trials, 2020 Jun 16;21(1):533.
    PMID: 32546217 DOI: 10.1186/s13063-020-04462-4
    INTRODUCTION: There has been growing evidence on the favourable outcomes of fast-track-recovery (FTR) surgery; to expedite recovery, minimise complications, and reduce the length of hospital stay for surgical patients. However, there is lack of evidence on the effectiveness of FTR in surgical gynaecological cancer (GC) patients. Most of the previous studies did not focus on feeding composition in the FTR surgery protocol. This study aims to determine the effectiveness of FTR feeding with a whey-protein-infused carbohydrate-loading drink pre-operatively and early oral feeding post-operatively on post-operative outcomes among surgical GC patients.

    METHODS/DESIGN: This open-labelled, randomised controlled trial (RCT) will randomly allocate patients into intervention and control groups. Ambulated Malaysian aged over 18 years and scheduled for elective surgery for (suspected) GC, will be included in this study. The intervention group will be given whey-protein-infused carbohydrate-loading drinks on the evening before their operation and 3 h before their operation as well as started on early oral feeding 4 h post-operatively. The control group will be fasted overnight pre-operation and only allowed plain water, and return to a normal diet is allowed when bowel sounds return post-operatively. The primary outcomes of study are length of post-operative hospital stay, length of clear-fluid tolerance, solid-food tolerance and bowel function. Additional outcome measures are changes in nutritional status, biochemical profile and functional status. Data will be analysed on an intention-to-treat basis.

    TRIAL REGISTRATION: ClinicalTrials.gov, ID: NCT03667755. Retrospectively registered on 12 September 2018; Protocol version: version 3 dated 27 September 2017.

    Matched MeSH terms: Dietary Carbohydrates/adverse effects
  10. Dehghan M, Mente A, Zhang X, Swaminathan S, Li W, Mohan V, et al.
    Lancet, 2017 Nov 04;390(10107):2050-2062.
    PMID: 28864332 DOI: 10.1016/S0140-6736(17)32252-3
    BACKGROUND: The relationship between macronutrients and cardiovascular disease and mortality is controversial. Most available data are from European and North American populations where nutrition excess is more likely, so their applicability to other populations is unclear.

    METHODS: The Prospective Urban Rural Epidemiology (PURE) study is a large, epidemiological cohort study of individuals aged 35-70 years (enrolled between Jan 1, 2003, and March 31, 2013) in 18 countries with a median follow-up of 7·4 years (IQR 5·3-9·3). Dietary intake of 135 335 individuals was recorded using validated food frequency questionnaires. The primary outcomes were total mortality and major cardiovascular events (fatal cardiovascular disease, non-fatal myocardial infarction, stroke, and heart failure). Secondary outcomes were all myocardial infarctions, stroke, cardiovascular disease mortality, and non-cardiovascular disease mortality. Participants were categorised into quintiles of nutrient intake (carbohydrate, fats, and protein) based on percentage of energy provided by nutrients. We assessed the associations between consumption of carbohydrate, total fat, and each type of fat with cardiovascular disease and total mortality. We calculated hazard ratios (HRs) using a multivariable Cox frailty model with random intercepts to account for centre clustering.

    FINDINGS: During follow-up, we documented 5796 deaths and 4784 major cardiovascular disease events. Higher carbohydrate intake was associated with an increased risk of total mortality (highest [quintile 5] vs lowest quintile [quintile 1] category, HR 1·28 [95% CI 1·12-1·46], ptrend=0·0001) but not with the risk of cardiovascular disease or cardiovascular disease mortality. Intake of total fat and each type of fat was associated with lower risk of total mortality (quintile 5 vs quintile 1, total fat: HR 0·77 [95% CI 0·67-0·87], ptrend<0·0001; saturated fat, HR 0·86 [0·76-0·99], ptrend=0·0088; monounsaturated fat: HR 0·81 [0·71-0·92], ptrend<0·0001; and polyunsaturated fat: HR 0·80 [0·71-0·89], ptrend<0·0001). Higher saturated fat intake was associated with lower risk of stroke (quintile 5 vs quintile 1, HR 0·79 [95% CI 0·64-0·98], ptrend=0·0498). Total fat and saturated and unsaturated fats were not significantly associated with risk of myocardial infarction or cardiovascular disease mortality.

    INTERPRETATION: High carbohydrate intake was associated with higher risk of total mortality, whereas total fat and individual types of fat were related to lower total mortality. Total fat and types of fat were not associated with cardiovascular disease, myocardial infarction, or cardiovascular disease mortality, whereas saturated fat had an inverse association with stroke. Global dietary guidelines should be reconsidered in light of these findings.

    FUNDING: Full funding sources listed at the end of the paper (see Acknowledgments).

    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  11. Wong SK, Chin KY, Suhaimi FH, Ahmad F, Ima-Nirwana S
    Exp. Clin. Endocrinol. Diabetes, 2018 Apr;126(4):205-212.
    PMID: 29117620 DOI: 10.1055/s-0043-119352
    Metabolic syndrome is a cluster of metabolic abnormalities including central obesity, hyperglycemia, hypertension, and dyslipidemia. A previous study has established that high-carbohydrate high-fat diet (HCHF) can induce MetS in rats. In this study, we modified components of the diet so that it resembled the diet of Southeast Asians. This study aimed to determine the effects of this modified HCHF diet on metabolic parameters in rats. Male Wistar rats (n=14) were randomised into two groups. The normal group was given standard rat chow. The MetS group was given the HCHF diet, comprises of fructose, sweetened condensed milk, ghee, Hubble Mendel and Wakeman salt mixture, and powdered rat food. The diet regimen was assigned for a period of 16 weeks. Metabolic syndrome parameters (abdominal circumference, blood glucose, blood pressure, and lipid profile) were measured at week 0, 8, 12, and 16 of the study. The measurement of whole body composition (fat mass, lean mass, and percentage of fat) was performed using dual-energy X-ray absorptiometry at week 0, 8, and 16. Our results indicated that the components of MetS were partially developed after 8 weeks of HCHF diet. Systolic blood pressure, triglyceride, low density lipoprotein cholesterol, fat content, and percentage of fat was significantly higher in the HCHF group compared to normal group (p<0.05). After 12 weeks of HCHF diet, the rats showed significant increases in abdominal circumference, blood pressure, glucose intolerance, and dyslipidemia compared to normal control (p<0.05). In conclusion, MetS is successfully established in male rats induced by the modified HCHF diet after 12 weeks.
    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  12. Abdulla MH, Sattar MA, Johns EJ, Abdullah NA, Hye Khan MA, Rathore HA
    Br J Nutr, 2012 Jan;107(2):218-28.
    PMID: 21733307 DOI: 10.1017/S0007114511002716
    The present study explored the hypothesis that a prolonged 8 weeks exposure to a high fructose intake suppresses adrenergic and angiotensin II (Ang II)-mediated vasoconstriction and is associated with a higher contribution of α1D-adrenoceptors. A total of thirty-two Sprague-Dawley rats received either 20 % fructose solution (FFR) or tap water (control, C) to drink ad libitum for 8 weeks. Metabolic and haemodynamic parameters were assessed weekly. The renal cortical vasoconstrictor responses to noradrenaline (NA), phenylephrine (PE), methoxamine (ME) and Ang II were determined in the presence and absence of BMY7378 (α1D-adrenoceptor antagonist). FFR had increased blood pressure, plasma levels of glucose, TAG and insulin. FFR expressed reduced renal vascular responses to adrenergic agonists and Ang II (NA: 50 %, PE: 50 %, ME, 65 %, Ang II: 54 %). Furthermore in the C group, the magnitude of the renal cortical vasoconstriction to all agonists was blunted in the presence of the low or high dose of BMY7378 (NA: 30 and 31 %, PE: 23 and 33 %, ME: 19 and 44 %, Ang II: 53 and 77 %), respectively, while in the FFR, vasoconstriction was enhanced to adrenergic agonists and reduced to Ang II (NA: 8 and 83 %, PE: 55 %, ME, 2 and 177 %, Ang II: 61 and 31 %). Chronic high fructose intake blunts vascular sensitivity to adrenergic agonists and Ang II. Moreover, blocking of the α1D-adrenoceptor subtype results in enhancement of renal vasoconstriction to adrenergic agonists, suggesting an inhibitory action of α1D-adrenoceptors in the FFR. α1D-Adrenoceptors buffer the AT1-receptor response in the renal vasculature of normal rats and fructose feeding suppressed this interaction.
    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  13. Navarrete-Muñoz EM, Wark PA, Romaguera D, Bhoo-Pathy N, Michaud D, Molina-Montes E, et al.
    Am J Clin Nutr, 2016 Sep;104(3):760-8.
    PMID: 27510540 DOI: 10.3945/ajcn.116.130963
    BACKGROUND: The consumption of sweet beverages has been associated with greater risk of type 2 diabetes and obesity, which may be involved in the development of pancreatic cancer. Therefore, it has been hypothesized that sweet beverages may increase pancreatic cancer risk as well.

    OBJECTIVE: We examined the association between sweet-beverage consumption (including total, sugar-sweetened, and artificially sweetened soft drink and juice and nectar consumption) and pancreatic cancer risk.

    DESIGN: The study was conducted within the European Prospective Investigation into Cancer and Nutrition cohort. A total of 477,199 participants (70.2% women) with a mean age of 51 y at baseline were included, and 865 exocrine pancreatic cancers were diagnosed after a median follow-up of 11.60 y (IQR: 10.10-12.60 y). Sweet-beverage consumption was assessed with the use of validated dietary questionnaires at baseline. HRs and 95% CIs were obtained with the use of multivariable Cox regression models that were stratified by age, sex, and center and adjusted for educational level, physical activity, smoking status, and alcohol consumption. Associations with total soft-drink consumption were adjusted for juice and nectar consumption and vice versa.

    RESULTS: Total soft-drink consumption (HR per 100 g/d: 1.03; 95% CI: 0.99, 1.07), sugar-sweetened soft-drink consumption (HR per 100 g/d: 1.02; 95% CI: 0.97, 1.08), and artificially sweetened soft-drink consumption (HR per 100 g/d: 1.04; 95% CI: 0.98, 1.10) were not associated with pancreatic cancer risk. Juice and nectar consumption was inversely associated with pancreatic cancer risk (HR per 100 g/d: 0.91; 95% CI: 0.84, 0.99); this association remained statistically significant after adjustment for body size, type 2 diabetes, and energy intake.

    CONCLUSIONS: Soft-drink consumption does not seem to be associated with pancreatic cancer risk. Juice and nectar consumption might be associated with a modest decreased pancreatic cancer risk. Additional studies with specific information on juice and nectar subtypes are warranted to clarify these results.

    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
  14. Abdulla MH, Sattar MA, Abdullah NA, Hye Khan MA, Anand Swarup KR, Johns EJ
    Eur J Nutr, 2011 Jun;50(4):251-60.
    PMID: 20882287 DOI: 10.1007/s00394-010-0133-8
    PURPOSE: Fructose feeding induces a moderate increase in blood pressure, insulin resistance, and hyperinsulinemia. This study investigated the role of α(1B)-adrenoceptor subtype in the control of renal hemodynamic responses to exogenously administered angiotensin II (Ang II) and a set of adrenergic agonists in a model of high fructose-fed rats.
    METHODS: Sprague-Dawley rats were fed for 8 weeks with 20% fructose in drinking water (FFR). The renal cortical vasoconstriction to noradrenaline (NA), phenylephrine (PE), methoxamine (ME) and Ang II in the presence and absence of chloroethylclonidine (CEC) (α(1B)-adrenoceptor antagonist) was determined. Data, mean ± SEM or SD were subjected to ANOVA with significance at p 
    Matched MeSH terms: Dietary Carbohydrates/adverse effects*
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