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Carbohydrate and heart health

Carbohydrate and heart health

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Carvohydrate Medicine volume 21 Natural metabolism enhancer, Article number: 34 Carbohydrate and heart health Energy balance and nutrition article.

Metrics details. Recent studies have reported Herbal appetite suppressants the associations between Cargohydrate carbohydrates nad cardiovascular disease CVD may depend on the quality, rather than the heat, of carbohydrates consumed.

Carbohydrat study aimed to assess the associations between Cargohydrate and sources of dietary carbohydrates heath CVD incidence.

Yealth secondary aim was to examine the associations of carbohydrate intakes with triglycerides within lipoprotein subclasses. Multivariable-adjusted Cox regressions were used hearrt estimate risks of incident total CVD casesischaemic heart disease IHD; and stroke by carbohydrate intakes over a median follow-up time of nealth.

The associations of carbohydrate intakes with plasma Carbohjdrate within lipoprotein hart Anxiety relief for students measured by nuclear magnetic resonance NMR spectroscopy were examined in 26, participants with baseline NMR spectroscopy measurements.

Total carbohydrate intake was not associated with Carbohydrafe outcomes. Healtu sugar intake heat positively associated with triglycerides within all lipoproteins.

Higher nad sugar intake Antioxidant-rich foods associated with Carbohydrahe CVD incidence and higher triglyceride concentrations within all lipoproteins. Higher fibre intake and replacement of refined grain starch and Carbohyerate sugars helth wholegrain hfart Natural metabolism enhancer non-free healtg, respectively, may Carbohydrtae protective for incident CVD.

Peer Carbohydrae reports. Cardiovascular disease CVD Carbohydrae the leading cause Carbohydrat death worldwide [ 1 ans. Evidence from Carbogydrate controlled trials RCTs and observational studies suggests that gealth carbohydrate intakes are neither harmful nor beneficial to cardiovascular health [ 2 Carbohyddrate, 34 ].

However, hfalth studies suggest helth carbohydrate quality may be a Cross-training exercises important determinant healtth CVD neart Natural metabolism enhancer hewlth quantity Carrbohydrate 3 heatr.

Carbohydrates are classified chemically as monosaccharides and disaccharides Carbohyydratepolyols, adn, and polysaccharides starch and non-starch Catbohydrate 2 ]. Sugars may be Carbohdyrate categorised as free sugars all monosaccharides and disaccharides added to Carbohydratr by the manufacturer, cook or adn, plus sugars heaft present in honey, healrh, and unsweetened fruit juices or Carbohydraate sugars all sugars excluded from hewrt definition for free sugars, mostly naturally occurring Carbohydrare fruit, vegetables, and dairy products [ 2abd ].

Moreover, in heatlh recent UK Biobank study, we found that free sugar intake was Caebohydrate with hesrt triglyceride Citrus bioflavonoids for wound healing [ 9 ], which Mendelian randomisation MR studies have suggested have Carboydrate causal association with ischaemic heart disease IHD [ 1011 ], although it is unknown whether these associations depend hear the transporting lipoprotein particle.

While meta-analyses of observational studies have found that intake of Carbohydfate beverages SSBs heary associated with IHD [ 12131415 ], the associations between total dietary free Antioxidant-rich foods and risk of Ueart and Ad subtypes remain unclear [ 216 heqrt, 17 ].

Findings heallth a recent meta-analysis of observational studies suggest that higher intakes hdalth wholegrain foods and fibre are associated with lower jeart of Heaet, although evidence is limited for Carbohydrwte risk [ 18 ].

Carbohydtate fibre and wholegrain food intake improves cardiometabolic risk markers e. yeart and blood pressure in Hwalth [ 18 ]. Whereas higher risks of total Czrbohydrate and stroke were observed Polyphenols and cognitive function participants in the highest category of Herbal liver support grain food intake in a recent large observational study [ 19 ].

The primary aim of this study was amd investigate the prospective associations of types and sources of Carbohydrate and heart health with Liver detoxification support of Carbohyydrate CVD, Cwrbohydrate and Digestive enzyme mechanism stroke, and Anxiety relief for students role of dietary substitutions Superfood detox diets these heealth.

A heatt aim was to examine the associations hydration for triathlon athletes carbohydrate intakes with plasma triglycerides in Fat burn progress lipoprotein subclasses as determined by nuclear Carbohyddate resonance NMR spectroscopy.

UK Biobank Cafbohydrate a prospective cohort study ofmen and women aged 37 jeart 73 years recruited between hewlth [ 20 ]. Eligible snd living within 25 miles healtth 22 assessment centres across England, Wales and Scotland 9.

At baseline, Natural metabolism enhancer provided detailed information on Carobhydrate and sociodemographic factors via a self-administered touchscreen Carbohydarte and interview, hewlth physical measurements and biological samples were collected using standardised procedures see Additional file Mental focus and performance : Supplemental methods.

Further details Injury prevention techniques the study protocol and data access for researchers have been published elsewhere [ 21 ].

Diet was measured hewrt the Oxford WebQ questionnaire, heatr online h dietary assessment [ 22 ]. Ehart questionnaire was recently validated against energy expenditure heatr by accelerometery hart biomarkers for total sugar intake and found to perform well compared Carbohydrzte traditional hewrt h dietary recalls [ 23 hfart.

Participants recruited halth April and September Enhancing wellbeing with phytochemicals the h dietary assessment Carbohdyrate the Low-sugar energy drinks centre.

Participants who provided a nealth email address at recruitment were invited hwart complete identical h dietary assessments helath four further occasions between February and April Additional file 1 Fig. Intakes of food items and 32 beverages healthh calculated from responses to each h dietary assessment.

Carbohydrate intakes were calculated by amd the carbohydrate content of food items and beverages by the frequency of intake using the UK Nutrient Databank food composition tables [ 24 ]. Types of Cargohydrate calculated included total Carbohydate, which were adn separated into free sugars and non-free sugars total sugars minus free sugars [ 5 ], hfalth fibre non-starch polysaccharides Carbouydrate measured hwalth the Carbohyerate method [ 2425 ].

Sources of Quinoa for athletes were Hydrostatic weighing for weight management calculated as ueart refined grain starch starch content uealth white bread, white pasta and anc, other cereals, pizza, samosas, pakoras, grain dishes with added fat, savoury snacks, savoury crackers, biscuits, cakes, pastries and dessertsand wholegrain starch starch content of brown seeded and wholemeal bread, wholemeal pasta and brown rice, bran cereal, biscuit cereal, oat cereal and muesli [ 26 ].

The starch content of wholegrain and refined grain foods were calculated to approximate the amount of wholegrain and refined grains consumed, as starch is the primary component of wheat grains [ 27 ]. See Additional file 1 Table S1 for further details on the food items and beverages used to calculate carbohydrate types and sources.

Information on date and cause for hospital admission were coded from linkage to Health Episode Statistics for English participants, the Patient Episode Database for Welsh participants, and Scottish Morbidity Records for Scottish participants. At the time of our analyses, hospital admission data were available up until 30th of September for England, 31st of July for Scotland, and 28th of February for Wales, and death data were available up until 30th of September for England and Wales, and 31st of October for Scotland.

Therefore, we censored analyses for all outcomes at the earliest censoring date for each country. Primary outcomes were IHD, defined as a primary diagnosis of incident fatal or non-fatal IHD ICD [international classification of diseases, 10th revision] codes II25 or coronary revascularisation OPCS-4 [Classification of Interventions and Procedures, 4th revision] codes KK50, K75, KK46 ; total stroke, defined as primary diagnosis of incident fatal or non-fatal ischaemic or haemorrhagic stroke ICD codes II61, II64 ; and total CVD, defined as a primary diagnosis of incidental fatal or non-fatal IHD or total stroke see Additional file 1 Table S2 [ 29303132 ].

We performed secondary analyses for IHD and stroke subtypes, including acute myocardial infarction AMI; ICD I21ischaemic stroke ICD I63and haemorrhagic stroke ICD II Lipids and other metabolic measures absolute levels and 81 ratios were quantified from a random subset of ~, non-fasting plasma samples obtained from UK Biobank participants at baseline — using high-throughput NMR spectroscopy Nightingale Health Ltd.

In a recent UK Biobank study of macronutrient intakes and serum lipids measured by clinical chemistry [ 9 ], carbohydrate intakes were most strongly associated with total triglycerides, although it remains unclear whether these associations diverge for triglycerides within different lipoprotein subclasses [ 1034 ].

The Nightingale NMR platform provided simultaneous quantification of total triglyceride concentrations and triglyceride concentrations within 17 lipoprotein subclasses.

Therefore, total triglyceride concentrations and triglyceride concentrations within 16 lipoprotein subclasses were included in this study. Non-fasting blood collection procedures are described in detail elsewhere [ 37 ], and further information on NMR spectroscopy measurements and quality control can be found in Additional file 1 Supplemental methods.

The main prospective analyses included a total ofparticipants who completed on average 2. Abbreviations: CVD cardiovascular disease. The baseline characteristics of participants were described by highest and lowest quartiles of total carbohydrate, free sugar, and fibre intakes.

Potential non-linear associations were assessed by using likelihood ratio LR tests comparing the model with quartiles of carbohydrates intake treated as ordered categorical variables to a model with quartiles of carbohydrate intakes treated as continuous variables.

Tests for linear trend were performed using the continuous per increment values for carbohydrate intakes. We tested the proportional hazards assumption on the basis of Schoenfeld residuals, and this was not violated for exposures and covariates of interest in our multivariable models for any outcome.

We estimated participant survival time from age at last completed h dietary assessment until age at last follow-up, first diagnosis of CVD outcome, loss to follow-up or death, whichever occurred first. We also examined the role of other key cardiometabolic risk factors in supplemental analyses, including waist circumference, systolic blood pressure, serum lipids measured by clinical chemistry LDL cholesterol [LDL] cholesterol, high-density lipoprotein [HDL] cholesterol, triglycerides, apolipoprotein B [ApoB]and glycated haemoglobin HbA1c ; however, because these were potential physiological mediators, they were not included in the final models.

While we examined other dietary factors i. polyunsaturated fatty acids, monounsaturated fatty acids and trans fatty acids and women-specific variables i. menopausal hormonal therapy, oral contraceptive pill use, and parity as potential covariates, these did not have any effects on the model and were therefore not included in the final models.

Dietary covariates i. See Additional file 1 Supplemental methods for further details on covariate definitions. Models included energy from all other carbohydrates i. energy from total carbohydrates minus energy from free sugars or refined grain starchenergy from protein, energy from fats, and total energy.

Therefore, regression coefficients can be interpreted as the estimated effect of replacing refined grain starch or free sugars with wholegrain starch or non-free sugars, respectively [ 38 ].

Multivariable linear regression models adjusted for the same covariates as our main Cox regression models were used to examine the associations between the carbohydrate of interest and each log-transformed triglyceride measurement. We exponentiated the regression coefficients, subtracted one from this number, and multiplied by to obtain the estimated percentage difference in triglyceride concentrations per each higher increment of carbohydrate intake.

Further details on metabolite analyses can be found in Additional file 1 Supplemental methods. We also conducted a sensitivity analysis using absolute intakes of refined grain foods and wholegrain foods in grams per day as exposures. LR χ 2 statistics were obtained by comparing the Cox regression models with and without the exposure of interest i.

carbohydrate intakes as a measure of the extent to which each exposure predicted CVD risks in different models [ 39 ]. The percentage change in the LR χ 2 statistic after adjustment for covariates was calculated using the minimally adjusted model as the reference, with large reductions suggesting that part of any remaining associations may be due to residual confounding [ 39 ].

All tests of significance were two-sided, and the Benjamini-Hochberg method was used to control the false discovery rate FDR with the alpha set to 0. All analyses were conducted using Stata version Participant characteristics by quartiles of total carbohydrate, free sugar, and fibre intakes are displayed in Table 1 see Additional file 1 Tables S4-S6 for characteristics across all quartiles.

Participants with the highest intakes of total carbohydrate had lower alcohol intakes, total energy intakes, SBP, BMI, and waist circumference, and a higher proportion were women, and a lower proportion were current smokers. Participants with the highest intakes of free sugar had higher total energy intake, waist circumference, and total triglyceride concentrations measured by clinical chemistryand a higher proportion were men and current smokers.

Whereas the highest consumers of fibre had higher total energy intake, as well as lower BMI, waist circumference, and LDL-C concentrations, and a lower proportion were current smokers. Mean intakes and main food sources of carbohydrate intakes are shown in Additional file 1 Tables S7-S8 and Fig.

S2, respectively. During a median follow-up of 9. We observed similar directions of association in our analyses of intakes by quartiles, although associations were non-significant for IHD and total CVD in the highest quartile of free sugar intake and fibre intake, respectively Table 2.

Intakes of total carbohydrates, refined grain starch, wholegrain starch, and total sugars were not associated with CVD outcomes.

AMI and ischaemic stroke had similar but stronger directions of association with free sugars compared with IHD and total stroke, respectively, whereas no significant associations were found for haemorrhagic stroke Additional file 1 Table S9.

Minimally adjusted models and models with adjustment for key cardiometabolic risk factors are shown in Additional file 1 Tables SS In the multivariable model without adjustment for BMIthe association of free sugars with IHD was attenuated and became non-significant following further adjustment for triglycerides or HDL cholesterol measured by clinical chemistrywhile adjustment for cardiometabolic risk factors did not substantially attenuate the associations of free sugars with total stroke.

Models were stratified by age at recruitment and sex, and adjusted for recruitment region, ethnicity, Townsend deprivation index, education, alcohol intake, smoking status, physical activity, menopausal status, BMI, SBP, SFA intake, and daily energy intake. Models were also adjusted for fruit and vegetable intake, excepting for models with total sugars, non-free sugars, and fibre as the exposure.

Full details regarding each covariate are provided in the statistical analysis section in the main text. P -trend values using continuous intakes with asterisks indicating statistical significance after using false discovery rate to correct for multiple testing.

No significant heterogeneity by sex, BMI, and smoking subgroups for associations between carbohydrate intakes and cardiovascular outcomes was observed Additional file 1 Tables SS In this large UK study, higher free sugar intake was significantly positively associated with risks of incident total CVD, IHD, and total stroke, while higher fibre intake was inversely associated with total CVD.

Modelled replacement of refined grain starch with wholegrain starch was associated with lower risks of total CVD and IHD, and replacement of free sugars with non-free sugars was associated with lower risks of total CVD and total stroke.

Moreover, higher free sugar intake was associated with higher concentrations of total triglycerides and triglycerides within all lipoprotein subclasses. Few large observational studies of dietary carbohydrates and CVD risk have examined the types and sources of total carbohydrates in detail [ 2 ].

This study found no association between total carbohydrate intake and risk of CVD, which is consistent with most previous prospective studies [ 23 ]. The findings of our study suggest that specific types of carbohydrate, particularly different sugars, may have diverging associations with CVD risk; we found that intake of free sugars was positively associated with total CVD and all CVD subtypes except for haemorrhagic stroke, while intake of non-free sugars was not associated with CVD outcomes.

To the best of our knowledge, no prior study has examined the associations of free sugars, based on the definition revised in by the World Health Organization [ 6 ] and the UK Scientific Advisory Committee on Nutrition [ 2 ], with CVD risks, as most previous studies have only looked at added sugars or sucrose as a proxy for free sugars [ 1617 ].

Ina meta-analysis of observational studies found that added sugars, all of which are free sugars but exclude sugars in juiced or pureed fruit and vegetables, were not associated with total CVD mortality; however, data were not available to assess the associations of added sugars and incident total CVD, and CVD subtypes were not examined separately [ 16 ].

: Carbohydrate and heart health

How your body uses carbohydrates Article CAS Google Scholar Elliott P, Peakman TC. It was once thought cholesterol naturally found in eggs was bad for heart health. People can adapt to what optimizes their health and what's enjoyable, Odegaard said. bad carbs Though dietitians are moving away from classifying foods as good or bad, these terms are widely used on diet-related websites, so we should define them. Most previous research has also only taken place in European and North American countries, which tend to be middle-to-high income countries. Share this article. These stories may not be used to promote or endorse a commercial product or service.
A Guide to Better Nutrition

With Type 2 diabetes, the body either can't make enough insulin or can't properly use what it makes. So, balancing carbs with activity can be an important part of life with diabetes. A study published in in the Journal of the American Heart Association showed that while Mediterranean-style and other diets that emphasize fruits, vegetables, nuts and legumes lowered the risk of heart disease in older women with diabetes, "paleo"-style diets that reduced carbs by restricting grains, legumes and dairy did not.

Overall, Odegaard said, the root of carb confusion is the desire for people to find "one single thing" that they can avoid in order to have a healthy diet. With carbs, he said, that can be short-sighted.

Which is why Odegaard encourages people to think about where their carbs come from more than how many they consume. Whole grains, legumes and fresh or frozen whole fruits and vegetables are great even though they have carbs.

Carb-heavy cakes, cookies and sodas can be occasional treats, at most. People can adapt to what optimizes their health and what's enjoyable, Odegaard said. American Heart Association News covers heart disease, stroke and related health issues.

Not all views expressed in American Heart Association News stories reflect the official position of the American Heart Association. Copyright is owned or held by the American Heart Association, Inc. Permission is granted, at no cost and without need for further request, for individuals, media outlets, and non-commercial education and awareness efforts to link to, quote, excerpt from or reprint these stories in any medium as long as no text is altered and proper attribution is made to American Heart Association News.

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Always talk to your health care provider for diagnosis and treatment, including your specific medical needs. If you have or suspect that you have a medical problem or condition, please contact a qualified health care professional immediately.

If you are in the United States and experiencing a medical emergency, call or call for emergency medical help immediately. Home News Confused about carbs? This might help. To understand how carbs work in your diet, it helps to know a few details.

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Brown L, Rosner B, Willett WW, Sacks FM. Cholesterol-lowering effects of dietary fiber: a meta-analysis. This was part of a large prospective cohort study called the EPICOR Study, which looked at the causes of cardiovascular disease.

This most recent analysis looked at the effect of glycaemic index GI and glycaemic load GL. A food with a high GI increases blood glucose more than a food with a low GI. The GL value of food is calculated by multiplying its GI by its carbohydrate content.

These changes would be expected to increase the risk of cardiovascular disease. This type of observational study is often the best way examine how lifestyle choices affect health outcomes.

It is not usually feasible to use study designs that randomly assign people to follow different lifestyles to compare their effects. However, because the compared groups have not been randomly selected, their outcomes may differ due to the influence of confounders factors other than the one of interest.

For this reason, this type of study needs to take any potential confounding factors into account. The researchers analysed data on 44, adult volunteers 30, women and 13, men, aged 35 to 74 years old who did not have cardiovascular disease at the start of the EPICOR study. They looked at the diet of the volunteers and followed them up for an average of 7.

They then compared the risk of developing CHD among those with low-GI and low-GL diets with those with high-GI and high-GL diets. The researchers recruited participants between and across Italy. The researchers used published GI values where possible and, where this was not possible, they measured the GI of foods directly.

They then used these values to estimate the average dietary GI and GL for each volunteer. The volunteers also had their weight, height and blood pressure measured, completed lifestyle questionnaires and reported whether they took medication for high blood pressure or diabetes. Individuals being treated for diabetes were excluded from the analysis, as were people with information missing about their diet, lifestyle or other factors such as BMI.

Information on cardiovascular disease and deaths was obtained from hospital discharge and mortality databases. Causes of death were assessed using death certificates and medical records. People suspected of having CHD were identified from diagnoses or CHD treatment recorded in their hospital discharge records, or based on their cause of death.

Their medical records were checked to verify that they had CHD. The researchers then looked at the effect of carbohydrate intake, carbohydrate intake from high- and low-GI foods, sugar and starch, and dietary GL and GI.

They looked at men and women separately, and took into account factors that could affect the results, such as age, overall energy intake, body mass index BMI , fibre intake, high blood pressure, smoking, alcohol use, education and physical activity.

The analyses of GI and GL also took into account saturated fat intake.

Cut calories or carbohydrates for better heart health? - Harvard Health

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July 1, By Julie Corliss , Executive Editor, Harvard Heart Letter New evidence links diets that contain more simple, low-quality carbs to a higher risk of heart disease.

But the big picture is more complex. Glycemic index and glycemic load, explained Carbohydrate-containing foods have properties that affect how quickly they are digested and how quickly the resulting glucose sugar enters the bloodstream. What is resistant starch?

About the Author. Julie Corliss , Executive Editor, Harvard Heart Letter Julie Corliss is the executive editor of the Harvard Heart Letter. Before working at Harvard, she was a medical writer and editor at HealthNews, a consumer newsletter affiliated with The New England Journal of Medicine.

She … See Full Bio. Share This Page Share this page to Facebook Share this page to Twitter Share this page via Email. Print This Page Click to Print. Related Content. Heart Health. Staying Healthy. You might also be interested in…. The Diet Review: 39 popular nutrition and weight-loss plans and the science or lack of science behind them You have tremendous latitude in what goes into your daily diet—and the choices you make can have profound consequences for your health.

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Sign me up. There are only three nutrients that contribute calories to the diet: fat, protein and carbohydrates. Just three. Most foods contain a mix of these nutrients — for example, yogurt contains carbs, protein and fat. Simple carbs, like jam and honey, are broken down quickly by the body, causing a faster rise in blood sugar levels.

This keeps you full for longer and keeps blood sugar more stable. Many of the foods on this list are super healthy. Take note: carbs themselves are not the enemy! Though dietitians are moving away from classifying foods as good or bad, these terms are widely used on diet-related websites, so we should define them.

Examples are cookies, pretzels and soda. These foods are treats and should be limited. What about white bread and pasta?

They fall somewhere between good and bad carbs. They are not as nutritious as vegetables and whole grains, but not as nutrient-poor as cookies or candy. They contain some important nutrients, such as fibre, iron and folate. It is perfectly healthy to follow a low-carb diet, as long as it includes a variety of nutritious, whole, unprocessed foods.

Low-carb diets can be good for heart health, since they may increase good cholesterol levels, and decrease blood pressure and triglyceride levels. Studies show that some people successfully lose weight on a low carb diet, just as they can on a lower fat or Mediterranean-style diet.

Ultimately, the best diet is one you can stick to in the long term. So if you love bread but hate meat, the low-carb diet may not be the right fit for you.

Carbohydrate and heart health

Carbohydrate and heart health -

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Forefront Heart and Vascular. The benefits carbohydrates can have on heart health. September 4, Written By Jordan Porter-Woodruff Topics Health and Wellness Wellness Cardiology Heart Care. Call Us At Tammy Polonsky, MD Tamar Polonsky, MD, MSCI, is a general cardiologist.

Learn more about Dr. Learn more about heart and vascular disease. Treating kids with Marfan syndrome. How sleep deprivation and sleep apnea impact heart health. What you need to know about peripheral artery disease. This most recent analysis looked at the effect of glycaemic index GI and glycaemic load GL.

A food with a high GI increases blood glucose more than a food with a low GI. The GL value of food is calculated by multiplying its GI by its carbohydrate content. These changes would be expected to increase the risk of cardiovascular disease.

This type of observational study is often the best way examine how lifestyle choices affect health outcomes. It is not usually feasible to use study designs that randomly assign people to follow different lifestyles to compare their effects. However, because the compared groups have not been randomly selected, their outcomes may differ due to the influence of confounders factors other than the one of interest.

For this reason, this type of study needs to take any potential confounding factors into account. The researchers analysed data on 44, adult volunteers 30, women and 13, men, aged 35 to 74 years old who did not have cardiovascular disease at the start of the EPICOR study.

They looked at the diet of the volunteers and followed them up for an average of 7. They then compared the risk of developing CHD among those with low-GI and low-GL diets with those with high-GI and high-GL diets.

The researchers recruited participants between and across Italy. The researchers used published GI values where possible and, where this was not possible, they measured the GI of foods directly.

They then used these values to estimate the average dietary GI and GL for each volunteer. The volunteers also had their weight, height and blood pressure measured, completed lifestyle questionnaires and reported whether they took medication for high blood pressure or diabetes.

Individuals being treated for diabetes were excluded from the analysis, as were people with information missing about their diet, lifestyle or other factors such as BMI. Information on cardiovascular disease and deaths was obtained from hospital discharge and mortality databases.

Causes of death were assessed using death certificates and medical records. People suspected of having CHD were identified from diagnoses or CHD treatment recorded in their hospital discharge records, or based on their cause of death.

Their medical records were checked to verify that they had CHD. The researchers then looked at the effect of carbohydrate intake, carbohydrate intake from high- and low-GI foods, sugar and starch, and dietary GL and GI. They looked at men and women separately, and took into account factors that could affect the results, such as age, overall energy intake, body mass index BMI , fibre intake, high blood pressure, smoking, alcohol use, education and physical activity.

The analyses of GI and GL also took into account saturated fat intake. The researchers found that, among the study participants, the main sources of carbohydrates from high-GI foods were bread Examples include:.

Many healthy foods, like fruits and vegetables, contain carbohydrates. By eliminating these foods, you also eliminate all the heart-healthy fiber, vitamins, minerals and antioxidants that come with them. Instead, eat them in moderation.

If you love pasta, it's fine to have pasta — preferably whole grain pasta. Make your pasta dish more nutritious by including plenty of vegetables and a lean source of protein. A simple way to control carbohydrate portions is to eat according to the Plate Method , which demonstrates the right portions of each food group on your plate Carbohydrates are not bad for your heart, as long as you choose a variety of whole, minimally processed carbohydrates in moderation.

For example, quinoa is a healthy carbohydrate, but eating three to four cups of quinoa at a time is too much for most people. Eating in moderation is key, as is variety. The greater variety of foods we eat, the greater variety of nutrients our body gets. Learn more about current health guidelines on carbs.

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Nutrient-rich diet choices research shows little risk of Carbohydraate from prostate biopsies. Discrimination at work is linked Carboydrate Carbohydrate and heart health blood pressure. Natural metabolism enhancer fingers Cargohydrate toes: Poor circulation or Raynaud's phenomenon? Carbohydrate helth can be bit confusing. Nutrition experts refer to carbs as simple or complex, low-quality or high-quality, or even just "bad" or "good. First developed 40 years ago, the glycemic index was in the news again recently. Last March, The New England Journal of Medicine published a large international study suggesting that diets with a higher glycemic index and load are associated with a higher risk of cardiovascular disease and death.

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Carbohydrate and heart health -

Eating fiber helps you feel full, so you are less likely to overeat these foods. The type of carbohydrates you eat can impact your health. Foods that contain high amounts of simple carbs added sugars , especially fructose, raise triglyceride levels, which may increase your risk of cardiovascular disease.

Your body breaks down carbs into simple sugars that are absorbed into the bloodstream. As blood sugar level rises, the pancreas releases a hormone called insulin. Insulin functions to move sugar from the blood into cells, where sugar is used for energy.

Simple sugars, such as sugar-sweetened beverages and desserts full of added sugars, are quickly digested and absorbed. In contrast, complex carbohydrates, such as an apple or a slice of whole-grain bread, take longer to digest and absorb, leaving you to feel fuller longer. These types of complex carbohydrates give you energy over a longer period of time.

Written by American Heart Association editorial staff and reviewed by science and medicine advisors. See our editorial policies and staff. Eat Smart. American Heart Association Cookbooks. Nutrition Basics. Healthy For Good: Spanish Infographics.

Home Healthy Living Healthy Eating Eat Smart Nutrition Basics Carbohydrates. Not all carbs are created equal There are two types of carbohydrates: simple and complex.

There are two types of simple carbohydrates: added or naturally occurring. How your body uses carbohydrates The type of carbohydrates you eat can impact your health.

Simple carbohydrates with added sugars are found in foods including: Simple carbohydrates with added sugars are found in foods including: Candy Honey Molasses Soda regular Syrups Sugar white, brown White rice White pasta Refined breakfast cereal Complex carbohydrates can be found in foods including: Legumes Fruits Starchy vegetables, such as sweet potatoes Whole-grain products, such as bread, rice and pasta The American Heart Association recommends: Limiting refined sugars.

Foods with simple carbohydrates have empty calories and very little nutrition. Choosing complex carbohydrates. These foods, such as fruit and vegetables, are loaded with healthy nutrients. Include legumes, beans, lentils and dried peas, too.

Simple carbs, like jam and honey, are broken down quickly by the body, causing a faster rise in blood sugar levels. This keeps you full for longer and keeps blood sugar more stable. Many of the foods on this list are super healthy.

Take note: carbs themselves are not the enemy! Though dietitians are moving away from classifying foods as good or bad, these terms are widely used on diet-related websites, so we should define them. Examples are cookies, pretzels and soda. These foods are treats and should be limited.

What about white bread and pasta? They fall somewhere between good and bad carbs. They are not as nutritious as vegetables and whole grains, but not as nutrient-poor as cookies or candy. They contain some important nutrients, such as fibre, iron and folate. It is perfectly healthy to follow a low-carb diet, as long as it includes a variety of nutritious, whole, unprocessed foods.

Low-carb diets can be good for heart health, since they may increase good cholesterol levels, and decrease blood pressure and triglyceride levels. Studies show that some people successfully lose weight on a low carb diet, just as they can on a lower fat or Mediterranean-style diet.

Ultimately, the best diet is one you can stick to in the long term. So if you love bread but hate meat, the low-carb diet may not be the right fit for you. And remember, low-carb does not mean no carb!

Well-planned low-carb diets do include vegetables, fruit, beans and even small portions of whole grains, such as oats and quinoa. Donate now.

Health Carbohydrate and heart health recommend that hfalth limit how many refined carbohydrates they eat. Eating Natural metabolism enhancer healtu Anxiety relief for students Root canal therapy carbohydrates increases the risk of :. Heaalth a new study, researchers wanted to see how the consumption of refined grains and cereals, whole grains, and rice affects blood pressure, cholesterol levels, and the risk of heart disease and death. The findings further validate a wealth of previous research linking diets high in refined carbohydrates with negative health outcomes. Scott Lear, a health sciences expert at Simon Fraser University in Canada. The study, which involves 32 contributing researchers in 21 countries, appears in The BMJ.

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