scholarly journals Association between Low Protein Intake and Mortality in Patients with Type 2 Diabetes

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1629 ◽  
Author(s):  
Takuya Yamaoka ◽  
Atsushi Araki ◽  
Yoshiaki Tamura ◽  
Shiro Tanaka ◽  
Kazuya Fujihara ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Weight ◽  
Total Energy ◽  
Energy Intake ◽  
Protein Intake ◽  
Total Energy Intake ◽  
Diabetic Patients ◽  
Low Protein ◽  
Prospective Longitudinal

The aim of this study was to investigate the association between protein intake and mortality risk in patients with type 2 diabetes. We analyzed a pooled data of 2494 diabetic patients from two prospective longitudinal studies. Nutritional intake was assessed using a Food Frequency Questionnaire at baseline. Protein intake per body weight (kg) per day was categorized into quartile groups. Adjusted hazard ratios (HRs) and 95% confidence interval (CI) were calculated using Cox regression analysis. During the six-year follow-up, there were 152 incidents of all-cause mortality. The HR for mortality in the lowest quartile of protein intake per body weight compared with the highest quartile was 2.26 (95% CI: 1.34–3.82, p = 0.002) after adjustment for covariates. Subgroup analyses revealed significant associations between low protein intake and mortality in patients aged over 75 years or under 65 years. After further adjustment of the total energy intake, a significant association between protein intake and mortality remained in patients aged ≥ 75 years, whereas the association was attenuated in those aged < 65 years. Our results suggest that adequate protein intake is necessary in older diabetic patients over 75 years, whereas with diabetes, whereas whole optimal total energy intake is required in younger patients with type 2 diabetes.

scholarly journals Dietary Macronutrient Intakes and Mortality among Patients with Type 2 Diabetes

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1665 ◽  
Author(s):  
Cheng-Chieh Lin ◽  
Chiu-Shong Liu ◽  
Chia-Ing Li ◽  
Chih-Hsueh Lin ◽  
Wen-Yuan Lin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Intake ◽  
Total Energy ◽  
Energy Intake ◽  
Total Energy Intake ◽  
Diabetic Patients ◽  
Fat Intake ◽  
Food Diary ◽  
Cvd Mortality

The best macronutrient percentages of dietary intake supporting longevity remains unclear. The strength of association between dietary intake and mortality in patients with type 2 diabetes (T2DM) should be quantified as a basis for dietary recommendations. Our study cohort consisted of 15,289 type 2 diabetic patients aged 30 years and older in Taiwan during 2001–2014 and was followed up through 2016. Percentages of macronutrient intakes were calculated as dietary energy intake contributed by carbohydrate, protein, and fat, divided by the total energy intake using a 24 h food diary recall approach. Cox proportional hazard models were applied to examine the temporal relation of macronutrient intakes with all-cause and cause-specific mortality. The average follow-up time was 7.4 years, during which 2784 adults with T2DM died. After multivariable adjustment, people with fourth and fifth quintiles of total energy, second and third quintiles of carbohydrate, and fourth quintiles of protein intakes were likely to have lower risks of all-cause and expanded cardiovascular disease (CVD) mortality. People with fifth quintiles of total energy intake were likely to have decreased non-expanded CVD mortality. We found a significant interaction between gender and fat intake on all-cause and expanded CVD mortality. Fat intake was associated with all-cause, expanded and non-expanded CVD mortality among males with T2DM. Total energy, carbohydrate, and protein intakes were associated with lower risks of all-cause and expanded CVD mortality, with minimal risks observed at ≥1673 Kcal total energy, 43–52% carbohydrate intake, and 15–16% protein intake among people with T2DM.

scholarly journals Association between Iron Intake and Diabetic Peripheral Neuropathy in Type 2 Diabetes: Significance of Iron Intake and the Ratio between Iron Intake and Polyunsaturated Fatty Acids Intake

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3365
Author(s):  
Kyuho Kim ◽  
YoonJu Song ◽  
Tae Jung Oh ◽  
Sung Hee Choi ◽  
Hak Chul Jang
Keyword(s):  
Type 2 Diabetes ◽  
Peripheral Neuropathy ◽  
Total Energy ◽  
Energy Intake ◽  
Diabetic Peripheral Neuropathy ◽  
Total Energy Intake ◽  
Iron Intake ◽  
Pufa Ratio ◽  
Pufa Intake

We aimed to investigate the association of iron and polyunsaturated fatty acid (PUFA) intake with diabetic peripheral neuropathy (DPN) in individuals with type 2 diabetes. This cross-sectional study included 147 individuals with type 2 diabetes. Dietary intake was assessed using three-day food records. DPN was diagnosed on the basis of a Michigan Neuropathy Screening Instrument—Physical Examination score ≥2.5. Adjusted for total energy intake, iron intake was significantly higher in individuals with DPN than in those without DPN (10.9 ± 4.0 mg vs. 9.9 ± 3.6 mg, p = 0.041). In addition, the iron/PUFA ratio was significantly higher in individuals with DPN (1.4 ± 0.8 vs. 1.1 ± 0.4, p = 0.005). Logistic regression analyses showed that iron intake (odds ratio (OR): 1.152; 95% confidence interval (CI): 1.012, 1.311) and iron/PUFA ratio (OR: 2.283; 95% CI: 1.066, 4.887) were associated with DPN after adjustment for total energy intake, sex, age, body mass index, systolic blood pressure, diabetes duration, estimated glomerular filtration rate, glycated hemoglobin, low-density lipoprotein cholesterol, and smoking. In conclusion, high dietary iron intake and an elevated iron/PUFA ratio were associated with the presence of DPN. The present study suggests the importance of the dietary pattern of iron and PUFA intake in individuals with type 2 diabetes.

scholarly journals Nutritional composition of the diets of South Asian, black African-Caribbean and white European children in the United Kingdom: The Child Heart and Health Study in England (CHASE)

2010 ◽  
Vol 104 (2) ◽  
pp. 276-285 ◽  
Author(s):  
A. S. Donin ◽  
C. M. Nightingale ◽  
C. G. Owen ◽  
A. R. Rudnicka ◽  
M. C. McNamara ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Total Energy ◽  
Energy Intake ◽  
South Asian ◽  
Saturated Fat ◽  
Nutritional Composition ◽  
Total Energy Intake ◽  
Black African ◽  
African Caribbean

In the UK, South Asian adults have increased risks of CHD, type 2 diabetes and central obesity. Black African-Caribbeans, in contrast, have increased risks of type 2 diabetes and general obesity but lower CHD risk. There is growing evidence that these risk differences emerge in early life and that nutritional factors may be important. We have therefore examined the variations in nutritional composition of the diets of South Asian, black African-Caribbean and white European children, using 24 h recalls of dietary intake collected during a cross-sectional survey of cardiovascular health in eighty-five primary schools in London, Birmingham and Leicester. In all, 2209 children aged 9–10 years took part, including 558 of South Asian, 560 of black African-Caribbean and 543 of white European ethnicity. Compared with white Europeans, South Asian children reported higher mean total energy intake; their intakes of total fat, polyunsaturated fat and protein (both absolute and as proportions of total energy intake) were higher and their intakes of carbohydrate as a proportion of energy (particularly sugars), vitamin C and D, Ca and haem Fe were lower. These differences were especially marked for Bangladeshi children. Black African-Caribbean children had lower intakes of total and saturated fat (both absolute and as proportions of energy intake), NSP, vitamin D and Ca. The lower total and saturated fat intakes were particularly marked among black African children. Appreciable ethnic differences exist in the nutritional composition of children's diets, which may contribute to future differences in chronic disease risk.

Statistical Evaluation of Total Energy Intake Based on the Number of Food Portions and Body Weight

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Rousset S ◽  
◽  
Médard S ◽  
Fleury G ◽  
Fardet A ◽  
...  
Keyword(s):  
Body Weight ◽  
Energy Expenditure ◽  
Total Energy ◽  
Energy Intake ◽  
Test Sample ◽  
Normal Weight ◽  
Total Energy Intake ◽  
Validation Dataset ◽  
Linear Regression Models ◽  
The Mean

The evaluation of food intake based on various assessment methods is critical and underreporting is frequent. The aim of the study was to develop an indirect statistical method of the total energy intake estimation based on gender, weight and the number of portions. Energy intake prediction was developed and evaluated for validity using energy expenditure measurements given by the WellBeNet app. A total of 190 volunteers with various BMIs were recruited and assigned either in the train or the test sample. The mean energy provided by a portion was evaluated by linear regression models from the train sample. The absolute values of the error between the energy intake estimation and the energy expenditure measurement were calculated for each volunteer, by subgroup and for the whole group. The performance of the models was determined using the validation dataset. As the number of portions is the only variable used in the model, the error was 30.7% and 26.5% in the train and test sample. After adding body weight in the model, the error in absolute value decreased to 8.8% and 10.8% for the normal-weight women and men, and 11.7% and 12.8% for the overweight female and male volunteers, respectively. The findings of this study indicate that a statistical approach and knowledge of the usual number of portions and body weight is effective and sufficient to obtain a precise evaluation of energy intake (about 10% of error) after a simple and brief enquiry.

scholarly journals Day-Time Patterns of Carbohydrate Intake in Adults by Non-Parametric Multi-Level Latent Class Analysis—Results from the UK National Diet and Nutrition Survey (2008/09–2015/16)

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2476
Author(s):  
Wang ◽  
Almoosawi ◽  
Palla
Keyword(s):  
Type 2 Diabetes ◽  
Latent Class Analysis ◽  
Total Energy ◽  
Energy Intake ◽  
Latent Class ◽  
Eating Patterns ◽  
Class Analysis ◽  
Nutrition Survey ◽  
The Uk

This study aims at combining time and quantity of carbohydrate (CH) intake in the definition of eating patterns in UK adults and investigating the association of the derived patterns with type 2 diabetes (T2D). The National Diet and Nutrition Survey (NDNS) Rolling Program included 6155 adults in the UK. Time of the day was categorized into 7 pre-defined time slots: 6–9 am, 9–12 noon, 12–2 pm, 2–5 pm, 5–8 pm, 8–10 pm, and 10 pm–6 am. Responses for CH intake were categorized into: no energy intake, CH <50% or ≥50% of total energy. Non-parametric multilevel latent class analysis (MLCA) was applied to identify eating patterns of CH consumption across day-time, as a novel method accounting for the repeated measurements of intake over 3–4 days nested within individuals. Survey-designed multivariable regression was used to assess the associations of CH eating patterns with T2D. Three CH eating day patterns (low, high CH percentage and frequent CH intake day) emerged from 24,483 observation days; based on which three classes of CH eaters were identified and characterized as: low (28.1%), moderate (28.8%) and high (43.1%) CH eaters. On average, low-CH eaters consumed the highest amount of total energy intake (7985.8 kJ) and had higher percentages of energy contributed by fat and alcohol, especially after 8 pm. Moderate-CH eaters consumed the lowest amount of total energy (7341.8 kJ) while they tended to have their meals later in the day. High-CH eaters consumed most of their carbohydrates and energy earlier in the day and within the time slots of 6–9 am, 12–2 pm and 5–8 pm, which correspond to traditional mealtimes. The high-CH eaters profile had the highest daily intake of CH and fiber and the lowest intake of protein and fat. Low-CH eaters had greater odds than high-CH eaters of having T2D in self-reported but not in previously undiagnosed diabetics. Further research using prospective longitudinal studies is warranted to ascertain the direction of causality in the association of CH patterns with type 2 diabetes.

scholarly journals Effects of oral semaglutide on energy intake, food preference, appetite, control of eating and body weight in subjects with type 2 diabetes

2020 ◽  
Author(s):  
Catherine Gibbons ◽  
John Blundell ◽  
Søren Tetens Hoff ◽  
Kirsten Dahl ◽  
Robert Bauer ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Weight ◽  
Energy Intake ◽  
Food Preference ◽  
Appetite Control

Genetic and phenotypic parameter estimates between production, feed intake, feed efficiency, body weight and linear type traits in first lactation Holsteins

1999 ◽  
Vol 79 (4) ◽  
pp. 425-431 ◽  
Author(s):  
B. W. Kennedy ◽  
J. C. M. Dekkers ◽  
R. K. Moore ◽  
L. Jairath
Keyword(s):  
Body Weight ◽  
Body Size ◽  
Total Energy ◽  
Energy Intake ◽  
Milk Yield ◽  
Feed Intake ◽  
Feed Efficiency ◽  
Genetic Correlations ◽  
Total Energy Intake ◽  
Type Traits

Production and feed intake data on 36 115 first lactation Holstein cows obtained from Quebec Dairy Herd Analysis Service were combined with conformation data from the Holstein Association of Canada to estimate genetic correlations among production, energy intake, and conformation traits. Traits considered were 305-d milk yield, 305-d grain energy and total energy intake, feed efficiency (fat corrected milk yield/total energy intake), body weight at calving, capacity, size, stature, rump width and final score. Genetic and phenotypic parameters were estimated using Restricted Maximum Likelihood based on two-trait animal mixed model analyses. The model contained fixed effects of herd-year, season of calving, age of calving, sire group and a random animal genetic effect. Estimates of heritability were within the published range for all traits. Of the conformation traits examined, capacity, size and stature had the highest correlations with body weight, with phenotypic correlations between 0.36 and 0.43, and genetic correlations between 0.61 and 0.79. Feed efficiency was negatively correlated to all body size measures, both phenotypically (−0.01 to −0.29) and genetically (−0.31 to −0.53), but most significantly with body weight, capacity, size, and stature. Fat-corrected milk yield showed negligible phenotypic and low to moderately negative genetic (−0.07 to −0.29) correlations with body weight and related type traits. Total energy intake was positively related to all measures of body size, most notably body weight, while grain energy intake had moderately negative genetic correlations (−0.20 to −0.40) with the same body size traits. Because of their detrimental relationships with feed efficiency, negative selection emphasis should be placed on body weight and the related type traits capacity, size and stature. Capacity, size and stature are of moderate utility when selecting indirectly for body weight, total energy intake and feed efficiency. Key words: Dairy cattle, genetics, production, conformation, feed efficiency

scholarly journals Potential Impact on Lipoprotein Subfractions in Type 2 Diabetes

2019 ◽  
Vol 12 ◽  
pp. 117955141986681 ◽  
Author(s):  
Yuka Kamijo ◽  
Hideto Ishii ◽  
Tomohiko Yamamoto ◽  
Kunihisa Kobayashi ◽  
Hiroyuki Asano ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Body Weight ◽  
Sglt2 Inhibitor ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Sglt2 Inhibitors ◽  
Diabetic Patients ◽  
Lipoprotein Subfractions ◽  
Cholesterol Levels

Introduction: Recently, the sodium-glucose cotransporter2 (SGLT2) inhibitor empagliflozin has been shown to lower cardiovascular risk among diabetic patients. It is intriguing that some SGLT2 inhibitors have been found to increase low-density lipoprotein (LDL) cholesterol levels, while the relevance to high-density lipoprotein (HDL) cholesterol is unknown. Although the inhibitory effect of SGLT2 inhibitors on glucose reabsorption may accelerate compensatory lipid metabolism and subsequently reduce body weight and affect the lipid profile, much remains unclear about this mechanism. Therefore, we conducted this study to investigate in detail how canagliflozin affects lipoprotein fractions including LDL and HDL subclasses. Materials and Methods: This study is a multicenter prospective study. The participants were patients with 22 type 2 diabetes (60.7 ± 11.6 years, 59.1% of men) who had HbA1c ⩾ 7.0% and consented to participate in the study. They were administered 100 mg canagliflozin orally once per day. Biochemistry test and cholesterol levels of 20 lipoprotein fractions (G1-G20) using high performance liquid chromatography methods were examined before and after 12 weeks of treatment period. Results: Significant decreases were observed in the participants’ body weight (69.7 to 67.9 kg, P < .001), systolic blood pressure (129.3 to 119.5 mm Hg, P < .01), and HbA1c (8.5% to 7.4%, P < .001). Cholesterol levels in the 20 lipoprotein fractions increased for very large HDL (G14, G15) and large HDL (G16) ( P < .05). Conclusions: Reduction in body weight, improvement of blood glucose levels, and increases in very large HDL and large HDL subclasses were observed after canagliflozin treatment. These beneficial changes might contribute to subsequent suppression of cardiovascular outcomes.

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