X Meat - Fat - Sugar

X Meat - Fat - Sugar Contact information, map and directions, contact form, opening hours, services, ratings, photos, videos and announcements from X Meat - Fat - Sugar, Medical and health, Bija.

19/10/2021

Amsterdam is aiming to ban new fast food outlets around schools now that the council has committed to a City Deal for a ‘healthier and sustainable food environment’, the Parool reported at the weekend.

Read more at DutchNews.nl:

Lower fat diet less Alzheimer's diseaseEpidemiological data show correlations between hypercholesterolemia and Alzheimer...
16/09/2021

Lower fat diet less Alzheimer's disease

Epidemiological data show correlations between hypercholesterolemia and Alzheimer's disease (AD)

https://pubmed.ncbi.nlm.nih.gov/11930160/

Epidemiological data show correlations between hypercholesterolemia and Alzheimer's disease (AD). We test the hypothesis that hypercholesterolemia modulates Abeta deposition in mice overexpressing the human APP695 Swedish mutation (K670N and M671L) (TgAPPsw). Feeding mice a high fat/high cholesterol...

Intermittent Fasting for Twelve Weeks Leads to Increases in Fat Mass (Obesity) and HyperinsulinemiaMunhoz AC, Vilas-Boas...
20/09/2020

Intermittent Fasting for Twelve Weeks Leads to Increases in Fat Mass (Obesity) and Hyperinsulinemia

Munhoz AC, Vilas-Boas EA, Panveloski-Costa AC, et al. Intermittent Fasting for Twelve Weeks Leads to Increases in Fat Mass and Hyperinsulinemia in Young Female Wistar Rats. Nutrients. 2020;12(4):1029. Published 2020 Apr 9. doi:10.3390/nu12041029

Fasting is known to cause physiological changes in the endocrine pancreas, including decreased insulin secretion and increased reactive oxygen species (ROS) production.

However, there is no consensus about the long-term effects of intermittent fasting (IF), which can involve up to 24 hours of fasting interspersed with normal feeding days.

In the present study, we analyzed the effects of alternate-day IF for 12 weeks in a developing and healthy organism.

24-hour fasts intercalated with 24-hours of free access to free food

Surprisingly, IF also elevated plasma insulin concentrations, both at baseline and after glucose administration collected during oGTT.

After 12 weeks of dietary intervention, pancreatic islets displayed increased ROS production and apoptosis.

Despite their lower body weight,
IF animals had increased fat reserves and decreased muscle mass.

Taken together,
these findings suggest that
alternate-day IF
promote β -cell dysfunction,
especially in developing animals.

https://pubmed.ncbi.nlm.nih.gov/32283715/

Skipping Breakfast => Obesity (Fat Gain)The present findings suggest that leptin resistance is responsible for DF-induce...
20/09/2020

Skipping Breakfast => Obesity (Fat Gain)

The present findings suggest that leptin resistance is responsible for
DF-induced obesity and metabolic disorders, and that the

circadian fluctuation of central leptin sensitivity might be involved in leptin resistance induced by DF,

metabolic disorders often depend on the time of feeding.

Feeding at unusual times of the day is thought to be associated with obesity and metabolic disorders in both experimental animals and humans.

We showed that
time-imposed feeding
during the sleep phase
(daytime feeding, DF)
**induces obesity and metabolic disorders
compared with mice
fed only during the active phase
(nighttime feeding, NF).

Mice under DF gained more weight and adiposity compared with mice under NF,

and developed hyperleptinemia and hypothermia.

We found that six days of DF abolished exogenous leptin-induced hypophagia and reduction in body weight in mice.

https://pubmed.ncbi.nlm.nih.gov/30084652/

DO NOT SKIP BREAKFAST==> Skipping Breakfast => Obesity (Fat Accumulation  Breakfast skipping and its relation to BMI and...
20/09/2020

DO NOT SKIP BREAKFAST

==> Skipping Breakfast => Obesity (Fat Accumulation Breakfast skipping and its relation to BMI and health-compromising behaviours among Greek adolescents.

Public Health Nutr. 2011;14: 101–108. 10.1017/S1368980010000765 [PubMed] [CrossRef] [Google Scholar]

36. Wennberg M, Gustafsson PE, Wennberg P, Hammarström A.

+> Poor breakfast habits in adolescence predict the metabolic syndrome in adulthood.

Public Health Nutr. 2015;18: 122–129. 10.1017/S1368980013003509 [PubMed] [CrossRef] [Google Scholar]

37. Bi H, Gan Y, Yang C, Chen Y, Tong X, Lu Z.

+> Breakfast skipping and the risk of type 2 diabetes: a meta-analysis of observational studies.

Public Health Nutr. 2015;18: 3013–3019.
10.1017/S1368980015000257 [PubMed] [CrossRef] [Google Scholar]

38. Cahill LE, Chiuve SE, Mekary RA, Jensen MK, Flint AJ, Hu FB, et al.

+> Prospective study of breakfast eating and incident coronary heart disease in a cohort of male US health professionals.

Circulation. 2013;128: 337–343. 10.1161/CIRCULATIONAHA.113.001474 [PMC free article] [PubMed] [CrossRef] [Google Scholar]

13/09/2020

Conclusions: Higher mortality is associated with sugar-sweetened beverages

BMC Med 2020 Apr 24;18(1):97. doi: 10.1186/s12916-020-01554-5.
The associations of sugar-sweetened, artificially sweetened and naturally sweet juices with all-cause mortality in 198,285 UK Biobank participants: a prospective cohort study
Jana J Anderson 1, Stuart R Gray 2, Paul Welsh 2, Daniel F Mackay 1, Carlos A Celis-Morales 2, Donald M Lyall 1, John Forbes 3, Naveed Sattar 2, Jason M R Gill 2, Jill P Pell 4
Affiliations expand
PMID: 32326961 PMCID: PMC7181499 DOI: 10.1186/s12916-020-01554-5
Free PMC article
Abstract
Background: Recent efforts to address the obesity epidemic have focused on sugar consumption, especially sugar-sweetened beverages. However, sugar takes many forms, is only one contributor to overall energy consumption and is correlated with other health-related lifestyle factors. The objective was to investigate the associations with all-cause mortality of sugar- and artificially sweetened beverages and naturally sweet juices.

Methods: Setting: UK Biobank, UK. Participants joined the UK Biobank study from 2006 to 2010 and were followed up until 2016; 198,285 men and women aged 40-69 years were eligible for this study (40% of the UK Biobank), of whom 3166 (1.6%) died over a mean of 7 years follow-up.

Design: prospective population-based cohort study. Exposure variables: dietary consumption of sugar-sweetened beverages, artificially sweetened beverages, naturally sweet juices (100% fruit/vegetable juices) and total sugar intake, self-reported via 24-h dietary assessment tool completed between 2009 and 2012.

Main outcome: all-cause mortality. Cox regression analyses were used to study the association between the daily intake of the above beverages and all-cause mortality. Models were adjusted for sociodemographic, economic, lifestyle and dietary confounders.

Results: Total energy intake, total sugar intake and percentage of energy derived from sugar were comparable among participants who consumed > 2/day sugar-sweetened beverages and > 2/day fruit/vegetable juices (10,221 kJ/day versus 10,381 kJ/day; 183 g versus 190 g; 30.6% versus 31.0%). All-cause mortality was associated with total sugar intake (highest quintile adj. HR 1.28, 95% CI 1.06-1.55) and intake of sugar-sweetened beverages (> 2/day adj. HR 1.84, 95% CI 1.42-2.37) and remained so in sensitivity analyses. An association between artificially sweetened beverage intake and mortality did not persist after excluding deaths in the first 2 years of follow-up (landmark analysis) nor after excluding participants with recent weight loss. Furthermore, the inverse association between fruit/vegetable juice intake and mortality did not persist after additional adjustment for a diet quality score.

Conclusions: Higher mortality is associated with sugar-sweetened beverages specifically. The lack of an adverse association with fruit/vegetable juices suggests that source of sugar may be important and the association with artificially sweetened beverage may reflect reverse causation.

Keywords: Diet; Fruit juice; Mortality; Sugar; UK Biobank.

high intake of dietary AGE may contribute to increased breast cancer.Cancer Prev Res (Phila) 2020 Jul;13(7):601-610. doi...
13/09/2020

high intake of dietary AGE may contribute to increased breast cancer.

Cancer Prev Res (Phila) 2020 Jul;13(7):601-610. doi: 10.1158/1940-6207.CAPR-19-0457. Epub 2020 Mar 13.
Dietary Advanced Glycation End-products (AGE) and Risk of Breast Cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO)
Omonefe O Omofuma 1, David P Turner 2, Lindsay L Peterson 3, Anwar T Merchant 1, Jiajia Zhang 1, Susan E Steck 4
Affiliations expand
PMID: 32169887 PMCID: PMC7335328 (available on 2021-01-01) DOI: 10.1158/1940-6207.CAPR-19-0457
Abstract
Advanced glycation end-products (AGEs) are implicated in the pathogenesis of several chronic diseases including cancer. AGEs are produced endogenously but can also be consumed from foods. AGE formation in food is accelerated during cooking at high temperatures. Certain high fat or highly processed foods have high AGE values. The objective of the study was to assign and quantify Nϵ-carboxymethyl-lysine (CML)-AGE content in food and investigate the association between dietary AGE intake and breast cancer risk in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. The study included women enrolled in the intervention arm who were cancer-free at baseline and completed a baseline questionnaire and food frequency questionnaire (DQX). CML-AGE values were assigned and quantified to foods in the DQX using a published AGE database. Cox proportional hazards models were used to estimate the hazard ratios (HR) and 95% confidence intervals (CI) of breast cancer among all women, and stratified by race/ethnicity, invasiveness of disease, and hormone receptor status. After a median 11.5 years of follow-up, 1,592 women were diagnosed with breast cancer. Higher CML-AGE intake was associated with increased risk of breast cancer among all women (HRQ5VSQ1, 1.30; 95% CI, 1.04-1.62; P trend = 0.04) and in non-Hispanic white women (HRT3VST1, 1.21; 95% CI, 1.02-1.44). Increased CML-AGE intake was associated with increased risk of in situ (HRT3VST1, 1.49; 95% CI, 1.11-2.01) and hormone receptor-positive (HRT3VST1, 1.24; 95% CI, 1.01-1.53) breast cancers. In conclusion, high intake of dietary AGE may contribute to increased breast cancer.

©2020 American Association for Cancer Research.

https://pubmed.ncbi.nlm.nih.gov/32169887/

Advanced glycation end-products (AGEs) are implicated in the pathogenesis of several chronic diseases including cancer. AGEs are produced endogenously but can also be consumed from foods. AGE formation in food is accelerated during cooking at high temperatures. Certain high fat or highly processed f...

Conclusions: Dietary AGEs play a role in the development of breast cancer.Cancer 2020 Jun 1;126(11):2648-2657. doi: 10.1...
13/09/2020

Conclusions: Dietary AGEs play a role in the development of breast cancer.

Cancer 2020 Jun 1;126(11):2648-2657. doi: 10.1002/cncr.32798. Epub 2020 Feb 25.
Dietary advanced glycation end products and the risk of postmenopausal breast cancer in the National Institutes of Health-AARP Diet and Health Study
Lindsay L Peterson 1, Seho Park 2 3, Yikyung Park 2, Graham A Colditz 2, Narges Anbardar 4 5, David P Turner 5
Affiliations expand
PMID: 32097496 PMCID: PMC7220830 (available on 2021-06-01) DOI: 10.1002/cncr.32798
Abstract
Background: Advanced glycation end products (AGEs) are reactive metabolites produced as a by-product of sugar metabolism and are consumed through the diet in high-fat and highly processed foods. They are associated with chronic inflammatory diseases, and evidence suggests that they play a role in carcinogenesis. The authors evaluated the association of dietary AGE intake and the risk of postmenopausal invasive breast cancer.

Methods: This was a prospective cohort study of 183,548 postmenopausal women in the National Institutes of Health-AARP Diet and Health Study. The main outcome was incident invasive breast cancer. AGE intake was estimated from food-frequency questionnaires. Incident breast cancer cases were identified through state cancer registries. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals for developing breast cancer according to AGE intake quintiles. Multivariable regression models were adjusted for breast cancer risk factors.

Results: The mean follow-up was 12.8 years, and 9851 breast cancers (1978 advanced stage) were identified. The median AGE daily intake was 5932 kilo units per 100 kilocalories (KU/1000 kcal).

Women with higher intake tended to have lower education levels, higher body mass index, less physical activity, were current smokers, and

==>> had higher fat and meat intake.

The highest quintile of AGE intake (compared with the lowest) was associated with an increased risk of breast cancer (HR, 1.09; 95% CI, 1.02-1.16; P = .03) after adjusting for breast cancer risk factors and particularly was associated with 37% of advanced-stage tumors (HR, 1.37; 95% CI, 1.09-1.74; P < .02) after adjusting for risk factors and fat and meat intake.

Conclusions: Dietary AGEs may play a role in the development of postmenopausal breast cancer.

Keywords: advanced glycation end products; breast cancer; cancer prevention; diet; lifestyle modification.

https://pubmed.ncbi.nlm.nih.gov/32097496/

Dietary AGEs may play a role in the development of postmenopausal breast cancer.

Advanced Glycation End Products in Foods and a Practical Guide to Their Reduction in the DietModern diets are largely he...
13/09/2020

Advanced Glycation End Products in Foods and a Practical Guide to Their Reduction in the Diet

Modern diets are largely heat-processed and as a result contain high levels of advanced glycation end products (AGEs).

Dietary advanced glycation end products (dAGEs) are known to contribute to increased oxidant stress and inflammation, which
are linked to the recent

epidemics of diabetes

and cardiovascular disease.

Dry heat promotes new dAGE formation by >10- to 100-fold above the uncooked state across food categories.

==>> Animal-derived foods that are high in fat and protein are generally AGE-rich and prone to new AGE formation during cooking.

==>> In contrast, vegetables, fruits, whole grains, and milk contain relatively few AGEs, even after cooking.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704564/

Modern diets are largely heat-processed and as a result contain high levels of advanced glycation end products (AGEs). Dietary advanced glycation end products (dAGEs) are known to contribute to increased oxidant stress and inflammation, which are linked ...

Healthy Eating Index (HEI)In summary, the Healthy Eating Index (HEI-2005) was => inversely associated with risk of major...
13/09/2020

Healthy Eating Index (HEI)

In summary, the Healthy Eating Index (HEI-2005) was

=> inversely associated with risk of major chronic disease, including

=> CHD, stroke, diabetes, and total cancer.

Thus, greater adherence to the 2005 Guidelines may
=> reduce risk of major chronic disease.

The AHEI-2010, which
explicitly emphasizes high intakes of
=> whole grains, PUFA,
=> nuts, and
=> fish and
***reductions*** in
=> red and processed meats,
=> refined grains, and
=> sugar-sweetened beverages,
associated with lower risk of chronic diseases;

Selecting
the **healthiest choices** within each food group,
=> specifically

high-quality:
==> grains (whole vs. refined grains) and
==> protein sources (nuts/beans/fish vs. red/processed meats), and

encouraging greater intake of PUFA
and
reducing intake of sugar-sweetened beverages.

Adherence to dietary guidelines that include such modifications could potentially reduce risk of chronic disease even further, especially CHD and diabetes.

https://academic.oup.com/jn/article/142/6/1009/4688968

Abstract. The Healthy Eating Index-2005 (HEI-2005) measures adherence to the 2005 Dietary Guidelines for Americans, but the association between the HEI-2005 an

13/09/2020

Individual components of the HEI-2005 and AHEI-2010 and risk of disease.

The components of the HEI-2005 that were independently

=> associated with lower risk of major chronic disease were

=> dark-green and orange vegetables,
=> whole fruit, and
=> whole grains and
to a lesser extent total grains, milk, vegetable oils, and a low intake of sodium (Supplemental Table 3).

For the AHEI-2010,
a higher intake of
whole grains, nuts, and alcoholic beverages and

a **lower intake** of
sugar-sweetened beverages and
red/processed meats were associated with
lower risk of major chronic disease.

For the AHEI-2010, whole grains and alcoholic beverages were inversely associated, and red and processed meats were positively associated with risk of CHD and diabetes;

in addition, sugar-sweetened beverages, sodium, and EPA + DHA were also associated with greater risk of diabetes.

https://academic.oup.com/jn/article/142/6/1009/4688968

13/09/2020

Alternate Healthy Eating Index

2 Vegetable consumption has been associated with lower risk of cardiovascular disease (CVD) (28, 29) and some cancers (52, 53).

3 Fruit consumption has been associated with lower risk of CVD (28, 29) and some cancers (52, 53).

4 Greater consumption of whole grains is associated with lower risk of CVD (32), diabetes (31), and colorectal cancer (65). Conversely, refined grains are not associated with lower risk and may increase risk of diabetes, coronary heart disease (CHD), and other chronic diseases (32, 37, 38).

5 Intake of sugar-sweetened beverages, including soda and fruit drinks, is associated with increased risk of weight gain and obesity (67), CVD (35), and diabetes (34).

6 Nuts, legumes, and vegetable protein (e.g., tofu) are important sources of protein and contain important constituents such as unsaturated fat, fiber, copper, magnesium, plant sterols, and other nutrients. Nuts and other vegetable proteins have been associated with lower risk of CVD, especially when used as a substitute for other protein sources, such as red meat (41). Nuts are also associated with lower risk of diabetes (42) and weight gain (69)

7 Consumption of red meat and processed meats is associated with greater risk of CHD (48), especially when substituted for nuts, poultry, or fish (41). Red meat and/or processed meats are also associated with higher risk of stroke (45, 46), diabetes (47), and colorectal and other cancers (52, 55).

8 Fatty acids, formed by partial hydrogenation of vegetable oils to produce margarines and vegetable shortening, are associated with higher risk of CHD (71) and diabetes (72).

9 One serving of fish per week, specifically of species high in long-chain (n-3) fatty acids EPA + DHA, is strongly protective against fatal cardiac arrhythmias and sudden cardiac death (73) and may lower the incidence of other CVD (43, 74).

10 Replacing saturated fats with polyunsaturated fats leads to positive changes in lipid profiles (63), is associated with a lower risk of CHD (36), and may lower risk of type 2 diabetes (76).

11 High sodium intake has been associated with higher blood pressure (81), and salt-preserved foods are associated with greater risk of stomach cancer (52), CVD (54), and total mortality (82). Furthermore, sodium-reduced diets significantly lowered blood pressure (83) and CVD risk in clinical trials (84).

12 Low to moderate, alcohol may be consumed as a part of an overall healthy diet. Moderate alcohol consumption has been associated with lower risk of CHD (85), dementia (86), diabetes (87), and all-cause and CVD mortality (88).

TABLE 1

The AHEI-2010 scoring method and mean scores at baseline among women in the Nurses' Health Study (1984) and men in the Health Professionals Follow-Up Study (1986)1

https://academic.oup.com/view-large/163466754

Component Criteria for minimum score (0) Criteria for maximum score (10) AHEI-2010 in women AHEI-2010 in men
Vegetables,2servings/d 0 ≥5 5.4 ± 2.4 5.6 ± 2.6
Fruit,3servings/d 0 ≥4 3.4 ± 2.4 3.7 ± 2.6
Whole grains,4g/d 0 1.8 ± 1.7 2.4 ± 2.0
Women 75
Men 90
Sugar-sweetened beverages and fruit juice,5servings/d ≥1 0 3.0 ± 3.6 2.6 ± 3.5
Nuts and legumes,6servings/d 0 ≥1 2.7 ± 2.5 4.1 ± 3.2
Red/processed meat,7servings/d ≥1.5 0 3.5 ± 3.1 3.1 ± 3.0
trans Fat,8% of energy ≥4 ≤0.5 6.0 ± 1.7 7.8 ± 1.4
Long-chain (n-3) fats (EPA + DHA),9mg/d 0 250 6.2 ± 3.2 7.6 ± 3.1
PUFA,10,% of energy ≤2 ≥10 5.6 ± 2.0 4.7 ± 1.8
Sodium,11mg/d Highest decile Lowest decile 5.0 ± 3.2 5.0 ± 3.2
Alcohol,12 drinks/d 5.1 ± 3.1 5.8 ± 3.3
Women ≥2.5 0.5–1.5
Men ≥3.5 0.5–2.0
Total 0 110 47.6 ± 10.8 52.4 ± 11.5

1
Values are means ± SD unless otherwise noted. Researchers are invited to re-create and use the AHEI-2010 score in their own data. AHEI, Alternate Healthy Eating Index.

2
Vegetable consumption has been associated with lower risk of cardiovascular disease (CVD) (28, 29) and some cancers (52, 53). Green leafy vegetables in particular may lower risk of diabetes (30). All vegetables on the FFQ were included, except for potatoes (including French fries) because they are not associated with lower risk of chronic disease risk in epidemiologic studies (52, 61) and are associated with increased risk of diabetes (62). We considered 5 servings/d as ideal, which reflects the upper range of current dietary guidelines and is consistent with intervention studies of intermediate CVD risk factors (63). One serving is 0.5 cup of vegetables or 1 cup of green leafy vegetables (1 cup = 236.59 g).

3
Fruit consumption has been associated with lower risk of CVD (28, 29) and some cancers (52, 53). We included only whole fruit in our definition, because fruit juice is not associated with lower risk of CVD (51, 61) or cancer (61) and may increase risk of diabetes (64). We considered 4 servings/d to be ideal, which is consistent with the upper range of current dietary guidelines. One serving is 1 medium piece of fruit or 0.5 cup of berries (1 cup = 236.59 g).

4
Greater consumption of whole grains is associated with lower risk of CVD (32), diabetes (31), and colorectal cancer (65). Conversely, refined grains are not associated with lower risk and may increase risk of diabetes, coronary heart disease (CHD), and other chronic diseases (32, 37, 38). We used grams of whole grains, which accounts for the variability of the percentages of whole grain in various “whole grain” products (66). One serving of a 100% whole-grain product (i.e., 0.5 cup of oatmeal or brown rice) contains ~15–20 g of whole grains (per dry weight). We considered 75 g/d to be optimal (~5 servings/d) for women and 90 g/d (~6 servings/d) to be optimal for men on the basis of current guidelines for total grains.

5
Intake of sugar-sweetened beverages, including soda and fruit drinks, is associated with increased risk of weight gain and obesity (67), CVD (35), and diabetes (34). We included intake of fruit juice in this category, given the positive association with risk of diabetes (64) and lack of beneficial effects on CVD (51) or cancer (61).The association with pancreatic cancer risk is not well established (68). We considered ≥1 serving/d to be the least optimal on the basis of the associations in the literature. One serving is 8 oz (1 oz = 28.35 g).

6
Nuts, legumes, and vegetable protein (e.g., tofu) are important sources of protein and contain important constituents such as unsaturated fat, fiber, copper, magnesium, plant sterols, and other nutrients. Nuts and other vegetable proteins have been associated with lower risk of CVD, especially when used as a substitute for other protein sources, such as red meat (41). Nuts are also associated with lower risk of diabetes (42) and weight gain (69), whereas their relation to cancer is inconclusive (70). We considered 1 serving/d to be ideal on the basis of the AHEI recommendations and the current literature. One serving is 1 oz (1 oz = 28.35 g) of nuts or 1 tablespoon (15 mL) of peanut butter.

7
Consumption of red meat and processed meats is associated with greater risk of CHD (48), especially when substituted for nuts, poultry, or fish (41). Red meat and/or processed meats are also associated with higher risk of stroke (45, 46), diabetes (47), and colorectal and other cancers (52, 55). Less than 1 serving/mo was considered to be ideal, with an upper limit of ≥1.5 servings/d. One serving is 4 oz of unprocessed meat or 1.5 oz of processed meat (1 oz = 28.35 g).

8 Fatty acids, formed by partial hydrogenation of vegetable oils to produce margarines and vegetable shortening, are associated with higher risk of CHD (71) and diabetes (72). Cutoffs are consistent with original AHEI cutoffs for trans fat.

9 One serving of fish per week, specifically of species high in long-chain (n-3) fatty acids EPA + DHA, is strongly protective against fatal cardiac arrhythmias and sudden cardiac death (73) and may lower the incidence of other CVD (43, 74). EPA + DHA were associated with lower risk of diabetes in some (40, 44), but not all (75), studies, and the relation with cancer risk is unclear. Because of the strength and consistency of fish and EPA + DHA on cardiac arrhythmias and CVD, we included this nutrient in the AHEI-2010 score. The cutoff for optimal intake (250 mg/d) is ~2 4-oz servings of fish /wk, which is consistent with current guidelines (1 oz = 28.35 g).

10 Replacing saturated fats with polyunsaturated fats leads to positive changes in lipid profiles (63), is associated with a lower risk of CHD (36), and may lower risk of type 2 diabetes (76). Furthermore, a low-fat diet had no beneficial effects on CVD risk factors, lipid profile, or blood pressure and did not reduce the risk of CVD, breast cancer, colon cancer, or total mortality (77–79). We gave the highest score to individuals with ≥10% of total energy intake from PUFA on the basis of current guidelines from the USDA and the AHA (50, 80). PUFA does not include EPA or DHA intake.

11 High sodium intake has been associated with higher blood pressure (81), and salt-preserved foods are associated with greater risk of stomach cancer (52), CVD (54), and total mortality (82). Furthermore, sodium-reduced diets significantly lowered blood pressure (83) and CVD risk in clinical trials (84). Large reductions in sodium intake, to levels recommended by the USDA (60), may prevent a substantial number of new cases of CHD (33). The cutoffs for sodium were based on deciles of distribution in the population, due to lack of brand specificity in the FFQ to accurately estimate absolute intake. Values in lowest decile were ≤1112 mg/d in women and ≤1612 mg/d in men and in highest decile were ≥3337 mg/d in women and ≥5271 mg/d in men at baseline.

12
In moderation, alcohol may be consumed as a part of an overall healthy diet. Moderate alcohol consumption has been associated with lower risk of CHD (85), dementia (86), diabetes (87), and all-cause and CVD mortality (88). However, in heavier quantities, alcohol increases the risk of certain cancers (52) and has other health and social implications such as alcoholism and alcohol-related injuries (89). Furthermore, many adults choose not to drink for various reasons. Thus, we assigned the highest score to moderate, and the worst score to heavy, alcohol consumers. Nondrinkers received a score of 2.5. We used gender-specific cutoffs, because the health effects of alcohol are seen at lower quantities in women than in men. One drink is 4 oz of wine, 12 oz of beer, or 1.5 oz of liquor (1 oz = 28.35 g).

The AHEI-2010 scoring method and mean scores at baseline among women in the Nurses' Health Study (1984) and men in the Health Professionals Follow-Up Study (1986)1

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962279/ #:~:text=High%20protein%20intake%20may%20lead,for%20the%20manageme...
13/09/2020

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962279/ #:~:text=High%20protein%20intake%20may%20lead,for%20the%20management%20of%20CKD.

High protein intake may lead to increased intraglomerular pressure and glomerular hyperfiltration. This can cause damage to glomerular structure leading to or aggravating chronic kidney disease (CKD). Hence, a low protein diet (LPD) of 0.6–0.8 ...

Results: After adjustment for important diabetes risk factors and dietary factors, the incidence of type 2 diabetes was ...
13/09/2020

Results: After adjustment for important diabetes risk factors and dietary factors, the incidence of type 2 diabetes was higher in those with high intake of total protein (per 10 g: HR 1.06 [95% CI 1.02-1.09], P(trend) < 0.001) and animal protein (per 10 g: 1.05 [1.02-1.08], P(trend) = 0.001).

Diabetes Care 2014 Jul;37(7):1854-62. doi: 10.2337/dc13-2627. Epub 2014 Apr 10.
Dietary protein intake and incidence of type 2 diabetes in Europe: the EPIC-InterAct Case-Cohort Study
Monique van Nielen 1, Edith J M Feskens 2, Marco Mensink 2, Ivonne Sluijs 3, Esther Molina 4, Pilar Amiano 5, Eva Ardanaz 6, Beverly Balkau 7, Joline W J Beulens 3, Heiner Boeing 8, Françoise Clavel-Chapelon 9, Guy Fagherazzi 9, Paul W Franks 10, Jytte Halkjaer 11, José Maria Huerta 12, Verena Katzke 13, Timothy J Key 14, Kay Tee Khaw 15, Vittorio Krogh 16, Tilman Kühn 13, Virginia V M Menéndez 17, Peter Nilsson 10, Kim Overvad 18, Domenico Palli 19, Salvatore Panico 20, Olov Rolandsson 21, Isabelle Romieu 22, Carlotta Sacerdote 23, Maria-José Sánchez 24, Matthias B Schulze 8, Annemieke M W Spijkerman 25, Anne Tjonneland 11, Rosario Tumino 26, Daphne L van der A 25, Anne M L Würtz 18, Raul Zamora-Ros 27, Claudia Langenberg 15, Stephen J Sharp 15, Nita G Forouhi 15, Elio Riboli 28, Nicholas J Wareham 15, InterAct Consortium
Affiliations expand
PMID: 24722499 DOI: 10.2337/dc13-2627
Erratum in
Erratum. Dietary protein intake and incidence of type 2 diabetes in europe: the EPIC-InterAct case-cohort study. Diabetes Care 2014;37:1854-1862.
van Nielen M, Feskens EJ, Mensink M, Sluijs I, Molina E, Amiano P, Ardanaz E, Balkau B, Beulens JW, Boeing H, Clavel-Chapelon F, Fagherazzi G, Franks PW, Halkjaer J, Huerta JM, Katzke V, Key TJ, Khaw KT, Krogh V, Kühn T, Menéndez VV, Nilsson P, Overvad K, Palli D, Panico S, Rolandsson O, Romieu I, Sacerdote C, Sánchez MJ, Schulze MB, Spijkerman AM, Tjonneland A, Tumino R, van der A DL, Würtz AM, Zamora-Ros R, Langenberg C, Sharp SJ, Forouhi NG, Riboli E, Wareham NJ; InterAct Consortium.
Diabetes Care. 2015 Oct;38(10):1992. doi: 10.2337/dc15-er10b.
PMID: 26404931 Free PMC article. No abstract available.
Abstract
Objective: The long-term association between dietary protein and type 2 diabetes incidence is uncertain. We aimed to investigate the association between total, animal, and plant protein intake and the incidence of type 2 diabetes.

Research design and methods: The prospective European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct case-cohort study consists of 12,403 incident type 2 diabetes cases and a stratified subcohort of 16,154 individuals from eight European countries, with an average follow-up time of 12.0 years. Pooled country-specific hazard ratios (HRs) and 95% CI of prentice-weighted Cox regression analyses were used to estimate type 2 diabetes incidence according to protein intake.

Results: After adjustment for important diabetes risk factors and dietary factors, the incidence of type 2 diabetes was higher in those with high intake of total protein (per 10 g: HR 1.06 [95% CI 1.02-1.09], P(trend) < 0.001) and animal protein (per 10 g: 1.05 [1.02-1.08], P(trend) = 0.001). Effect modification by s*x (P < 0.001) and BMI among women (P < 0.001) was observed. Compared with the overall analyses, associations were stronger in women, more specifically obese women with a BMI >30 kg/m(2) (per 10 g animal protein: 1.19 [1.09-1.32]), and nonsignificant in men. Plant protein intake was not associated with type 2 diabetes (per 10 g: 1.04 [0.93-1.16], P(trend) = 0.098).

Conclusions: High total and animal protein intake was associated with a modest elevated risk of type 2 diabetes in a large cohort of European adults. In view of the rapidly increasing prevalence of type 2 diabetes, limiting iso-energetic diets high in dietary proteins, particularly from animal sources, should be considered.

© 2014 by the American Diabetes Association.

https://pubmed.ncbi.nlm.nih.gov/24722499/

High total and animal protein intake was associated with a modest elevated risk of type 2 diabetes in a large cohort of European adults. In view of the rapidly increasing prevalence of type 2 diabetes, limiting iso-energetic diets high in dietary proteins, particularly from animal sources, should be...

Address

Bija
141412

Telephone

702-714-0011

Website

Alerts

Be the first to know and let us send you an email when X Meat - Fat - Sugar posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Practice

Send a message to X Meat - Fat - Sugar:

Share