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The aim of this study is to review recent data on dietary fiber (DF) and the glycemic index (GI), with special focus on studies from the Nordic countries regarding cardiometabolic risk factors, type 2 diabetes, cardiovascular disease, cancer, and total mortality. In this study, recent guidelines and scientific background papers or updates on older reports on DF and GI published between 2000 and 2011 from the US, EU, WHO, and the World Cancer Research Fund were reviewed, as well as prospective cohort and intervention studies carried out in the Nordic countries. All of the reports support the role for fiber-rich foods and DF as an important part of a healthy diet. All of the five identified Nordic papers found protective associations between high intake of DF and health outcomes; lower risk of cardiovascular disease, type 2 diabetes, colorectal and breast cancer. None of the reports and few of the Nordic papers found clear evidence for the GI in prevention of risk factors or diseases in healthy populations, although association was found in sub-groups, e.g. overweight and obese individuals and suggestive for prevention of type 2 diabetes. It was concluded that DF is associated with decreased risk of different chronic diseases and metabolic conditions. There is not enough evidence that choosing foods with low GI will decrease the risk of chronic diseases in the population overall. However, there is suggestive evidence that ranking food based on their GI might be of use for overweight and obese individuals. Issues regarding methodology, validity and practicality of the GI remain to be clarified.
The present literature review is a part of the background documentation for the 5th edition of the Nordic Nutrition Recommendations (NNR) 2012 with the aim of reviewing and updating the scientific basis of the 4th edition of the NNR issued in 2004 (
The task of the present expert group was to systematically review studies regarding carbohydrate quantity and quality in association with health outcomes. A systematic review on sugar and cardiometabolic risk factors, type 2 diabetes, cardiovascular disease and total mortality has been published previously (
The group evaluated the Dietary Guidelines from the United States Department of Agriculture (USDA) (
For the original articles from the Nordic countries, we defined the literature search and criteria for inclusion and exclusion, set prior to abstract screening. The eligibility criteria is similar to the criteria used in the systematic review on sugar and cardiometabolic risk factors by the same authors (
We included studies examining DF, the GI and glycemic load (GL) as indicator of exposure. The GL is calculated by multiplying the GI of a food item with the amount of available carbohydrates (g) in a portion of the food. To identify studies from the Nordic countries, we only included studies with the words Scandinavian, Nordic, Iceland, Norway, Denmark, Sweden or Finland in title or abstract (
Prospective observational studies (cohort or nested case-control) with a length of follow-up of four years or more, or randomized and controlled interventions of at least 4 weeks were included. For randomized studies, the drop-out rate had to be less than 50%. Studies including more than one intervention in the experimental arm were not included.
We included cardiovascular disease, type 2 diabetes, cancer, and all-cause mortality as outcome measures. Glucose tolerance, insulin sensitivity, blood lipids, inflammation markers, and blood pressure were chosen as intermediate markers.
For intervention trials with GI, the control diet had to include replacement of low GI food with food with similar contribution from macronutrients and similar DF content when relevant. For intervention trials with DF, the replacement food had to include similar contribution from other macronutrients. Studies without a control group were not considered.
The population was defined as the general healthy population including all age groups. We also considered studies that included individuals that were overweight.
English or a Nordic language.
Original articles and systematic reviews.
From January 2000 until December 2011.
The literature search was performed in February 2012 in collaboration with a librarian in order to ensure objectivity. Search terms are presented in
After receiving the list of abstracts from the search, one expert reviewed and ordered the articles of interest in full text. Abstracts not relevant for the research questions were excluded, and no reason was recorded for exclusion. The full text papers were reviewed by one expert. No further quality assessment and grading of evidence were performed for the papers included in this review. The current paper is therefore not a systematic review but depends on the objectivity of other researchers making reports and opinions for international organizations and bodies.
There are two main approaches to the definition of DF:
The substances contained in the concept of DF, are by definition, resistant to hydrolysis and absorption in the small intestine. They are passed on down to the large intestine unmodified and are more or less fermented by the intestinal bacteria. The different types of DF have different physiological properties and potential effects on health. DF can affect digestion and absorption in the upper and lower gastrointestinal tract but also the levels of blood glucose, insulin, blood lipids and cholesterol, satiety and energy balance, and composition of intestinal micro flora and its degradation products (
In the Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans, 2010 (
Questions asked and the conclusions of the systematic literature reviews for the dietary guidelines for Americans 2010 regarding DF
| Question | Conclusion | Number of studies |
|---|---|---|
| Is intake of dietary fiber related to adiposity in children? ( |
‘There is insufficient evidence that dietary fiber is associated with adiposity in children.’ | Based on 2 RCTs and 2 prospective cohorts, 1 cohort and 1 cross sectional study |
| What is the relationship between whole grain intake and cardiovascular disease? ( |
‘A moderate body of evidence shows that whole grain intake, which includes cereal fiber, protects against cardiovascular disease’ | Based on one systematic review, two meta-analyses, one randomized controlled trial, 3 prospective cohorts that were published after the systematic review |
| What is the relationship between whole grain intake and body weight? ( |
‘Moderate evidence shows that intake of whole grains and grain fiber is associated with lower body weight’ | Based on one systematic review, one systematic review/meta-analyses, 2 RCTs, 3 cross sectional studies |
According to the scientific opinion on dietary reference values on carbohydrates and DF by the EFSA (
Based on the literature review, EFSA concludes that increasing intakes of foods rich in DF are associated with reduced risk of impaired glucose control. Favorable effects of DF were observed at>2.6 g/MJ; about 30 g per day. However, they state that the contribution of DF per se to this effect remains to be established (
The FAO/WHO scientific update on carbohydrates and health presents several reviews (not systematic). The conclusions from two of these are presented below: carbohydrates and cardiovascular disease and disorders of carbohydrate metabolism (
Conclusions on DF in relation to cardiovascular disease and cancer in the scientific update from FAO/WHO
| Disease | Conclusion |
|---|---|
| Cardiovascular disease ( |
‘Whole grains, legumes, vegetables and intact fruits are the most appropriate sources of carbohydrates. There is strong evidence that they are associated with reduced risk of cardiovascular disease. These carbohydrate-containing foods are rich sources of DF (defined as non-starch polysaccharides), which protects against type 2 diabetes and other cardiovascular risk factors. However, to date there is no good evidence of protection against cardiovascular disease and diabetes when various oligosaccharides or polysaccharides or other isolated components of whole grains, fruits, vegetables and legumes are added to functional and manufactured food.’ |
| Cancer ( |
‘There is a moderately large amount of data on the possible association between DF and the risk of colorectal cancer; the results suggest that DF may reduce the risk for colorectal cancer.’ |
The FAO/WHO Scientific Update conclude that the recommendations of the 2002 WHO/FAO Expert Consultation are compatible with the outcomes of the Scientific Update 2007 with some caveats (
The updated meta-analysis from the World Cancer Research Fund published in 2011 includes 15 prospective cohort studies compared with eight studies in the previous Expert Report from 2007. The updated meta-analysis shows more consistent results regarding colorectal cancer and show a 10% decreased risk per 10 g increase in DF intake per day. The evidence that foods containing DF protect against colorectal cancer was therefore upgraded from probable to convincing by the Expert Panel (
From the 128 identified abstracts, five relevant studies were included. Only studies examining total DF intake were included, i.e. studies focusing on single types of DF such as β-glucans were not included.
The included studies are summarized in
Nordic studies on dietary fiber intake and different metabolic conditions and diseases
| Outcome |
|
Sex | Age | Follow up | Adjustments | Results | |
|---|---|---|---|---|---|---|---|
| Hansen, L., Skeie G., et al. ( |
Colon and rectal cancer | Among 108,081 cohort members 1,168 incident cases (691 colon, 477 rectal cancer) were diagnosed | M/F | 11.3 years (median) | BMI, education, smoking status, hormone replacement therapy use (for women) and intake of alcohol and red and processed meat. | Incidence rate ratio=0.94 (95% CI: 0.91, 0.98) in men and 0.97 (0.93, 1.00) in women for increased intake of 2 g cereal DF per day. | |
| Larsson, S. C., Mannisto S., et al. ( |
Stroke | Among 26,556 Finnish male smokers, 2,702 cerebral infarctions, 383 intracerebral hemorrhages and 196 subarachnoid hemorrhages were ascertained | M | 50–69 | 13.6 years (mean) | Age, supplementation group, number of cigarettes smoked daily, BMI, systolic and diastolic blood pressures, serum total cholesterol, serum high-HDL, history of diabetes and coronary heart disease, leisure-time physical activity, and intakes of alcohol, total energy, folate and magnesium. | Relative risk of cerebral infarction=0.86 (95% CI: 0.76, 0.99) for the highest vs. lowest quintile vegetable DF. |
| Mattisson, I., Wirfalt E., et al. ( |
Postmenopausal Breast cancer | Among 11 726 postmenopausal women, 342 incident cases were diagnosed | F | 50 years or older | During 89 602 person-years of follow-up | Diet interviewer, season of diet interview, method version, age, change of dietary habits, total energy, current hormone use, age at first child, height, waist, leisure time physical activity, age at menarche, educational level. | Incidence rate ratio 0.58 (95% CI: 0.40, 0.84) for the highest vs. lowest quintile of DF intake. |
| Montonen, J., Knekt P., et al. ( |
Type 2 diabetes | Among 2,286 men and 2,030 women, 54 men and 102 women were diagnosed | M/F | 40–69 years | 10 years | Adjusted for age, sex, geographic area, smoking, BMI, and intakes of energy, fruit and berries, and vegetables. | Relative risk of type 2 diabetes=0.39 (95% CI: 0.20, 0.77). for the highest vs. lowest quartiles of cereal DF intake. |
| Suzuki, R., Rylander-Rudqvist T., et al. ( |
Breast cancer | Among 51,823 postmenopausal women, 1,188 breast cancer cases with known ER/PR status were diagnosed. | F | >57.9 | 8.3 years | Adjusted for age, height, body mass index, education, parity, age at first birth, age at menarche, age at menopause, type of menopause, use of oral contraceptives, use of postmenopausal hormones, family history of breast cancer among first-degree relatives, history of benign breast disease, total energy intake, energy-adjusted total fat intake, intake of fruits and vegetables and alcohol intake. | When comparing the highest to the lowest quintile, a non-significant inverse associations between total fiber intake and the risk of all tumor subtypes was observed; the Relative risk=0.85 (95% CI: 0.69, 1.05) for overall, 0.85 (0.64, 1.13) for estrogen receptor (ER)/progesterone receptor (PR)- breast cancer, 0.83 (0.52, 1.31) for ER+PR- and 0.94 (0.49, 1.80) for ER-PR-for highest vs.- lowest quintile of total DF. For specific fiber, the researchers observed statistically significant risk reductions for overall (34%) and for ER+PR+ (38%) for the highest versus lowest quintile of fruit fiber, and non-significant inverse associations for other subtypes of cancer and types of fiber. |
M/F: male/female
Hansen et al. found a protective role of total and cereal DF intake in the development of colon cancer in the HELGA cohort. This cohort included three prospective Scandinavian cohorts with 1,168 incident cases among about 108,000 cohort members (
Results from the Finnish Mobile Clinic Health Examination Survey, showed a significant inverse association between DF intake and risk of type 2 diabetes (
Larsson et al. found no significant association between intake of total DF, water-soluble DF, water-insoluble DF, or DF derived from fruit or cereal sources and risk of any stroke subtype within the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study including 26,556 male smokers (
Postprandial glycemia refers to the elevation of blood glucose concentrations after consumption of a food or a meal, and is a normal physiological response which varies in magnitude and duration. The concept of GI lists food by its proposed effect on postprandial blood glucose compared to a reference food, or more recently, to pure glucose. GI can be influenced by the chemical and physical nature of the food or meal consumed but also by individual factors (
The concept of the GI was developed in 1981, mainly in relation to people with diabetes (
First, considerable individual differences in glucose responses can be found when testing various food items. Current guidelines on the number of persons necessary for testing a food item have been debated (
Third, many cohort studies do not measure the GI of food in their country, but instead rely on international table values, which may not be suitable for local food items (
Fifth, the GI does not take onto account the ‘second meal effect’ (the effect of a previous meal on the postprandial glycemia of a second meal) and meal frequency, which are important factors influencing the glycemic response (
The association between the GI and body weight has been covered in a systematic review on macronutrients, food consumption and weight changes, within the NNR project (
In the Report of the Dietary Guidelines Advisory Committee on the Dietary Guidelines for Americans, 2010 (
Questions asked and the conclusions of the systematic literature reviews for the dietary guidelines for Americans 2010 regarding the GI
| Question | Conclusion | Number of studies |
|---|---|---|
| What is the relationship between glycemic index or glycemic load and body weight? | ‘Strong and consistent evidence shows that glycemic index and/or glycemic load are not associated with body weight and do not lead to greater weight loss or better weight maintenance.’ | Based on 22 studies, 13 randomized TC, 2 prospective, 7 cross sectional. |
| What is the relationship between glycemic index or glycemic load and type 2 diabetes? | ‘A moderate body of inconsistent evidence supports a relationship between high glycemic index and type 2 diabetes.’ |
Based on 10 prospective studies. |
| What is the relationship between glycemic index or glycemic load and cardiovascular disease? | ‘Due to limited evidence, no conclusion can be drawn to assess the relationship between either glycemic index or load and cardiovascular disease.’ | Based on 8 studies. |
| What is the relationship between glycemic index or glycemic load and cancer? | ‘Abundant, strong epidemiological evidence demonstrates that there is no association between glycemic index or load and cancer.’ | Based on 20 prospective longitudinal studies, 2 case cohort and 5 case control studies. |
A description of the Nutrition Evidence Library (NEL) evidence-based systematic review process (a web-based state of the art electronic system) can be found in Part C of the report (
The report concludes, ‘When selecting carbohydrate foods, there is no need for concern with their glycemic index or glycemic load. What is important to being mindful of their calories, caloric density, and fiber content.’
The opinion by EFSA gives a review (not a systematic literature review) of studies investigating the GI or GL and glucose tolerance and insulin sensitivity (13 studies), serum lipids (four original studies, and one meta-analysis based on 15 studies), body weight (11 interventions, four cohorts studies and one review), type 2 diabetes (11 studies, one meta-analysis), cardiovascular disease (six studies and one systematic review) and colorectal cancer (meta-analysis based on 11 studies). It concludes that ‘Although there is some support for a role of GI and GL in the treatment of type 2 diabetes and some evidence suggesting that lowering GI and GL may have favorable effects on some metabolic risk factors such as serum lipids, the evidence regarding their role in the prevention of diet-related diseases is still inconclusive.’
In 2011, the same EFSA panel published a scientific opinion on the substantiation of health claims related to reduction of post-prandial glycemic responses for different sugar replacers (xylitol, sorbitol, mannitol, maltitol, lactitol, isomalt, erythritol, D-tagatose, isomaltulose, sucralose, or polydextrose). The opinion concluded that reduction of post-prandial glycemic responses (as long as post-prandial insulinemic responses are not disproportionally increased) may be a beneficial physiological effect, for example to subjects with impaired glucose tolerance, common in the general population of adults.
The previous report from FAO/WHO Expert Consultation published in 1998 suggested that the concept of GI might provide useful means of helping to select the most appropriate carbohydrate containing foods for the maintenance of health and the treatment of several diseases (
The systematic review and meta-analysis from the World Cancer Research Fund published in 2010 is an update based on the previous Expert Report published 2007 (
The Tema Nord report published in 2005 focus on the GI and GL and their associations with metabolic risk factors and diseases as well as overweight/obesity and satiety (
For individuals with diabetes or impaired glucose tolerance a low-GI diet might be of importance; this holds as well for those prone to diabetes due to overweight. More evidence is needed to be able to draw more secure conclusions on the importance of low GI food for healthy individuals.
From the 35 identified abstracts, 12 relevant studies were included. The included studies are summarized in
Nordic studies on GI and GL and different metabolic conditions and diseases
| Outcome |
|
Sex | Age | Follow up | Adjustments | Results | |
|---|---|---|---|---|---|---|---|
| Simila et al. ( |
Type 2 diabetes | 25,943 smokers 1,098 incident diabetes cases | M | 50–69 years | 12 years | Age, intervention group, BMI, smoking (years and number of cigarettes per day), physical activity, total energy intake, alcohol, energy adjusted intakes of fat and fiber and coffee consumption. | RR for highest vs. lowest quintile for GI was 0.87 (95% CI: 0.71, 1.07) and for GL 0.88 (95% CI: 0.65, 1.17). Substitution of medium GI carbohydrates with high GI: RR for highest vs. lowest quintile 0.75 (95% CI: 0.59, 0.96). |
| Levitan et al. ( |
Cardiovascular disease | 36,246 myocardial infarction ( |
M | 45–79 years | 5–8 years | Age, BMI, physical activity, hypertension, smoking, energy and fiber intake. | GL: RR 1.04 (95% CI: 0.80, 1.34), ischemic stroke GL: RR 1.05 (95% CI: 0.74, 1.49), cardiovascular mortality GL: RR 1.13 (95% CI: 0.81, 1.56) or all-cause mortality GL: RR 0.94 (95% CI: 0.79, 1.11). |
| Levitan et al. ( |
Heart failure (HF) | 36,019 (639 HF events) | F | 48–83 years | 9 years | Age, education, BMI, physical activity, smoking, living alone, postmenopausal hormone use, energy, alcohol, fiber, sodium, saturated fat, polyunsaturated fat, protein and carbohydrate intake, family history, hypertension, high cholesterol. | RR for highest vs. lowest quintile for GI was 1.12 (95% CI: 0.87, 1.45; |
| Mursu et al. ( |
Acute myocardial infarction (AMI) | 1,981 (376 AMI events) | M | 42–60 years | 16.1 years | Age, examination year, smoking, BMI, systolic blood pressure, hypertension medication, serum HDL and LDL cholesterol, triglycerides, physical activity, education, family history of cardiovascular disease and diabetes, alcohol and energy intake and energy adjusted intake of folate, fiber, vitamin C, polyunsaturated and saturated fat. | RR for AMI in the highest vs. lowest quartile of GI was 1.25 (95% CI: 0.92, 1.69; |
| Levitan et al. ( |
Myocardial infarction (MI) | 36,234 (1,138 events) | F | 48–83 years | 9 years | Age, education, BMI, physical activity, smoking, living alone, postmenopausal hormone, aspirin use, intake of energy, alcohol, fiber, saturated fat, polyunsaturated fat, protein and carbohydrates, family history of myocardial infarction before 60 years, hypertension and high cholesterol. | GI, comparing top to bottom quartile, RR 1.12 (95% CI: 0.92, 1.35; |
| Jakobsen et al. ( |
Myocardial infarction | 53,644 (1,943 events) | M/F | 50–62 years | 12 years | Age, sex, BMI, education, smoking, physical activity and hypertension, intake of glycemic carbohydrates, proteins, monounsaturated fatty acids, polyunsaturated fatty acids as percentages of total energy intake, energy and alcohol intake. | Replacing saturated fatty acids (SFAs) with carbohydrates with low-GI values is associated with an indicative lower risk of MI (hazard ratio (HR) for MI per 5% increment of energy intake from carbohydrates: 0.88; 95% CI: 0.72, 1.07). Replacing SFAs with carbohydrates with high-GI values is associated with a higher risk of MI (HR: 1.33; 95% CI: 1.08, 1.64). |
| Oxlund and Heitmann ( |
Serum lipids | 335 | M/F | 35–65 years | 6 years | Total cholesterol as endpoint – age, education, BMI, smoking, physical activity, serum triglyceride at baseline, intake of energy, alcohol, fat, carbohydrate and protein and added sugar. |
Dietary GI and GL were related to 6-year changes in serum lipid levels. |
| Larsson et al. ( |
Stomach cancer | 61,433 (156 incident cases) | F | 40–75 years | 17.4 years | Age, education, BMI and intake of energy and alcohol. | Hazard ratios for highest vs. lowest quintile for GI was 0.77 (95% CI: 0.46, 1.30) and for GL 0.76 (95% CI: 0.46, 1.25). |
| Larsson et al. ( |
Colorectal cancer | 61,433 (870 incident cases) | F | 40–75 years | 17.4 years | Age, date of enrollment, education, BMI, intake of energy, alcohol, cereal fiber, folate, calcium, magnesium and red meat. | Hazard ratios for highest vs. lowest quintile for GI was 1.00 (95% CI: 0.75, 1.33) and for GL 1.06 (95% CI: 0.81, 1.39). |
| Larsson et al. ( |
Endometrial cancer | 61,226 (608 cases) | F | 40–75 years | 15.6 years | Models stratified by BMI and physical activity adjusted for age. GL adjusted for total energy intake. Models tested for education, age at menarche, oral contraceptive use, age at first birth, parity, age at menopause, postmenopausal hormone use and menopausal status, diabetes, smoking but not included in final analysis. | Rate ratios (RR) for highest vs. lowest quintile for GI was 1.00 (95% CI: 0.77, 1.30) and for GL 1.15 (95% CI: 0.88, 1.51). |
| Larsson et al. ( |
Breast cancer | 61,433 women (2,952 incident cases of invasive breast cancer) | F | 40–75 years | 17.4 years | Age, education, BMI, height, parity, age at first birth, age at menarche, age at menopause, use of oral contraceptives, use of postmenopausal hormones, family history, intake of alcohol, fiber and energy. | Overall RR for highest vs. lowest quintile for GI was 1.08 (95% CI: 0.96, 1.21; |
| Nielsen et al. ( |
Breast cancer incidence | 23,870 women (634 incident cases) | F | 50–65 years | 5–9 years | Parity (parous/nulliparous, number of births and age at first birth, education, use of hormone replacement therapy (HRT), duration of HRT, intake of alcohol and BMI. | Overall incidence rate ratio (IRR) was 0.94 (0.80–1.10) per 10 units per day for GI and 1.04 (0.90–1.19) per 100 units per day for GL. |
M/F: male/female.
No association was found between the estimated GI or GL of the diet and risk for type 2 diabetes (
Additionally, four Nordic studies on the GI concept, which did not fit the eligibility criteria, are of interest. Two of the studies focused on ways to change the GI of different food items using resistant starch (chilled potatoes) and vinegar (
Based on the current guidelines, scientific reports and the identified papers covering Nordic populations presented in this summary, there is evidence that a high DF intake could protect against development of cardiovascular disease and colorectal cancer. There is moderate evidence that DF is associated with a lower risk of type 2 diabetes. Consumption of foods rich in DF such as fruit, vegetables, whole grain, nuts and legumes should be recommended and further research on different types of DF and their overall health effect are encouraged.
The hypothesis that the postprandial changes in glucose and insulin after a meal might over time trigger different conditions and diseases is important (
Intervention studies, including studies conducted in the Nordic countries, indicate that by changing individual high GI food with a low GI food, such as adding different types of DF to ordinary bread, in the same category without making any other changes may have positive health effects in overweight people or in those with impaired glucose tolerance (
Nonetheless, it is still unclear how much of the possible health effects are due to the GI per se, and how much additional benefit a low GI diet may offer after compliance with recommendations to increase intake of DF, whole grains, legumes and fruits and vegetables. The physiological effect of meals on glucose and insulin responses is only part of a larger picture of the physiological effect of food on the body after a meal. Therefore, ranking foods solely on acute glucose responses to food might not provide enough information on the overall effects of foods on most common health outcomes. Furthermore, geographic differences might be found in the associations between GI/GL and risk for diseases depending on staple food consumed (
The authors have not received any funding or benefits from industry or elsewhere to conduct this study.
Search string used to identify studies on fiber in the Nordic countries against predecided end points
| (“Dietary Fiber”[Majr] OR |
| ((“fiber”[TIAB] OR “fibre”[TIAB]) AND diet*[TIAB])) |
| AND |
| (“Lipoproteins”[Mesh] OR |
| “Lipoproteins, HDL”[Mesh] OR |
| “Lipoproteins, LDL”[Mesh] OR |
| “Triglycerides”[Mesh] OR |
| “Triglycerides” [Title/Abstract] OR |
| “Cholesterol”[Mesh] OR |
| “Cholesterol” [Title/Abstract] OR |
| “serum lipids”[Title/Abstract] OR |
| Low density lipoprotein* [Title/Abstract] OR |
| High density lipoprotein* [Title/Abstract] OR |
| LDL [Title/Abstract] OR |
| HDL [Title/Abstract] OR |
| “Inflammation Mediators”[Mesh] OR |
| “Inflammation”[Mesh] OR |
| “Inflammation”[Title/Abstract] OR |
| “C-Reactive Protein”[Mesh] OR |
| “C-reactive protein”[Title/Abstract] OR |
| “Leukocyte Count”[Mesh] OR |
| “Hyperglycemia”[Mesh] OR |
| “Glucose Intolerance”[Mesh] OR |
| “Blood Glucose”[Mesh] OR |
| “blood glucose” [Title/Abstract] OR |
| “impaired fasting glucose”[Title/Abstract] OR |
| “high fasting glucose”[Title/Abstract] OR |
| “fasting plasma glucose”[Title/Abstract] OR |
| “Hemoglobin A”[Mesh] OR |
| “Hemoglobin A, Glycosylated”[Mesh] OR |
| “glycosylated”[Title/Abstract] OR |
| “Insulin Resistance”[Mesh] OR |
| “insulin resistance”[Title/Abstract] OR |
| “Hyperinsulinism”[Mesh] OR |
| “hyperinsulinemia”[Title/Abstract] OR |
| “insulin sensitivity”[Title/Abstract] OR |
| “Insulin”[Title/Abstract] OR |
| “Cardiovascular Diseases”[Mesh] OR |
| “Cardiovascular disease”[Title/Abstract] OR |
| “Myocardial Ischemia”[Mesh] OR |
| “Myocardial Ischemia”[Title/Abstract] OR |
| “Myocardial Infarction”[Mesh] OR |
| “Myocardial Infarction”[Title/Abstract] OR |
| “Stroke”[Mesh] OR |
| “Stroke” [Title/Abstract] OR |
| “Coronary Disease”[Mesh] OR |
| “Coronary Disease”[Title/Abstract] OR |
| “diabetes”[Title/Abstract] OR |
| “Diabetes Mellitus”[Mesh] OR |
| “Diabetes Mellitus, Type 2”[Mesh] OR |
| “Mortality“[Mesh] OR |
| “Mortality”[Title/Abstract] OR |
| “Survival”[Mesh] OR |
| “Fatal Outcome”[Mesh] OR |
| “Cause of Death”[Mesh] OR |
| “Neoplasms”[Mesh] OR |
| “Cancer”[Title/Abstract]) |
| NOT (“animals”[MeSH Terms:noexp] NOT “humans”[MeSH:noexp]) |
| AND (“2000/01/01”[PDAT]: “2011/12/31”[PDAT]) |
| AND (“Review”[ptyp]) |
| AND (“Scandinavia”[Mesh] OR |
| “Finland”[Mesh] OR |
| “Iceland”[Mesh] OR |
| Scandinavia*[Title/abstract] OR |
| “Nordic”[Title/abstract] OR |
| “Sweden”[Title/abstract] OR |
| “Denmark”[Title/abstract] OR |
| “Norway”[Title/abstract] OR |
| “Finland”[Title/abstract] OR |
| “Iceland”[Title/abstract] OR |
| “Swedish”[Title/abstract] OR |
| “Norwegian”[Title/abstract] OR |
| “Danish”[Title/abstract] OR |
| “Finnish”[Title/abstract] OR |
| “Icelandic”[Title/abstract]) |
Search string used to identify studies on glycemic index and glycemic load in the Nordic countries against predecided end points
| (“Glycemic Index”[Mesh] OR |
| “Glycemic index”[Title/abstract] OR |
| “glycemic load”[Title/abstract]) |
| AND |
| (“Lipoproteins”[Mesh] OR |
| “Lipoproteins, HDL”[Mesh] OR |
| “Lipoproteins, LDL”[Mesh] OR |
| “Triglycerides”[Mesh] OR |
| “Triglycerides”[Title/Abstract] OR |
| “Cholesterol”[Mesh] OR |
| “Cholesterol” [Title/Abstract] OR |
| “serum lipids”[Title/Abstract] OR |
| Low density lipoprotein*[Title/Abstract] OR |
| High density lipoprotein*[Title/Abstract] OR |
| LDL[Title/Abstract] OR |
| HDL[Title/Abstract] OR |
| “Inflammation Mediators”[Mesh] OR |
| “Inflammation”[Mesh] OR |
| “Inflammation”[Title/Abstract] OR |
| “C-Reactive Protein”[Mesh] OR |
| “C-reactive protein”[Title/Abstract] OR |
| “Leukocyte Count”[Mesh] OR |
| “Hyperglycemia”[Mesh] OR |
| “Glucose Intolerance”[Mesh] OR |
| “Blood Glucose”[Mesh] OR |
| “blood glucose”[Title/Abstract] OR |
| “impaired fasting glucose”[Title/Abstract] OR |
| “high fasting glucose”[Title/Abstract] OR |
| “fasting plasma glucose”[Title/Abstract] OR |
| “Hemoglobin A”[Mesh] OR |
| “Hemoglobin A, Glycosylated”[Mesh] OR |
| “glycosylated”[Title/Abstract] OR |
| “Insulin Resistance”[Mesh] OR |
| “insulin resistance”[Title/Abstract] OR |
| “Hyperinsulinism”[Mesh] OR |
| “hyperinsulinemia”[Title/Abstract] OR |
| “insulin sensitivity”[Title/Abstract] OR |
| “Insulin”[Title/Abstract] OR |
| “Cardiovascular Diseases”[Mesh] OR |
| “Cardiovascular disease”[Title/Abstract] OR |
| “Myocardial Ischemia”[Mesh] OR |
| “Myocardial Ischemia”[Title/Abstract] OR |
| “Myocardial Infarction”[Mesh] OR |
| “Myocardial Infarction”[Title/Abstract] OR |
| “Stroke”[Mesh] OR |
| “Stroke”[Title/Abstract] OR |
| “Coronary Disease”[Mesh] OR |
| “Coronary Disease”[Title/Abstract] OR |
| “diabetes”[Title/Abstract] OR |
| “Diabetes Mellitus”[Mesh] OR |
| “Diabetes Mellitus, Type 2”[Mesh] OR |
| “Mortality“[Mesh] OR |
| “Mortality”[Title/Abstract] OR |
| “Survival”[Mesh] OR |
| “Fatal Outcome”[Mesh] OR |
| “Cause of Death”[Mesh] OR |
| “Neoplasms”[Mesh] OR |
| “Cancer”[Title/Abstract]) |
|
|
|
|
|
|
| (“Scandinavia”[Mesh] OR |
| “Finland”[Mesh] OR |
| “Iceland”[Mesh] OR |
| Scandinavia*[Title/abstract] OR |
| “Nordic”[Title/abstract] OR |
| “Sweden”[Title/abstract] OR |
| “Denmark”[Title/abstract] OR |
| “Norway”[Title/abstract] OR |
| “Finland”[Title/abstract] OR |
| “Iceland”[Title/abstract] OR |
| “Swedish”[Title/abstract] OR |
| “Norwegian”[Title/abstract] OR |
| “Danish”[Title/abstract] OR |
| “Finnish”[Title/abstract] OR |
| “Icelandic”[Title/abstract]) |