Secular trends in dietary energy, carbohydrate, fat, and protein intake among Korean adults, 2010-2020 KHANES.

OBJECTIVES: The composition and balance of macronutrient intake play key roles in promoting a longer lifespan. In this study, we aimed to investigate the secular trends in carbohydrate, fat, and protein intakes in South Koreans from 2010 to 2020. METHODS: We examined the dietary nutritional intake of South Koreans using data from the Korean National Health and Nutrition Examination Survey. A total of 60,190 adults aged ≥19 y who completed the 24-h dietary recall interviews in a single day on all survey periods were included in this study. The outcomes included changes in macronutrient intake according to subgroups, such as age; sex; and the presence of diabetes, dyslipidemia, stroke, or heart disease, as well as energy intake from macronutrients. RESULTS: The study population showed a significant decrease in total energy intake from 2010 to 2020, with a corresponding decrease in the percentage of energy intake from carbohydrates (p-values for trend < 0.001). Conversely, the proportions of energy intake from proteins and fats increased during the same period (p < 0.001). Subgroup analyses revealed variations in macronutrient intake trends according to age, sex, obesity status, and underlying diseases. The analysis of trends in energy intake from various fat subtypes, total sugar, and fiber revealed a decrease in the energy intake percentage of total sugar from 2016 to 2020 and an increase in the energy intake percentage of all fat subtypes and fiber from 2013 to 2020. CONCLUSIONS: In the past 10 y, the dietary patterns in Korea have shifted toward the consumption of high-fat and high-protein diets with reduced carbohydrate intake.

Nutritional Intake in Dichorionic Twin Pregnancies: A Descriptive Analysis of a Multisite United States Cohort.

INTRODUCTION: Twin gestations have greater nutritional demands than singleton gestations, yet dietary intakes of women with twin gestations have not been well described. METHODS: In a prospective, multi-site US study of 148 women with dichorionic twin gestations (2012-2013), we examined longitudinal changes in diet across pregnancy. Women completed a food frequency questionnaire during each trimester of pregnancy. We examined changes in means of total energy and energy-adjusted dietary components using linear mixed effects models. RESULTS: Mean energy intake (95% CI) across the three trimesters was 2010 kcal/day (1846, 2175), 2177 kcal/day (2005, 2349), 2253 kcal/day (2056, 2450), respectively (P = 0.01), whereas the Healthy Eating Index-2010 was 63.9 (62.1, 65.6), 64.5 (62.6, 66.3), 63.2 (61.1, 65.3), respectively (P = 0.53). DISCUSSION: Women with twin gestations moderately increased total energy as pregnancy progressed, though dietary composition and quality remained unchanged. These findings highlight aspects of nutritional intake that may need to be improved among women carrying twins.

The comparison of total energy and protein intake relative to estimated requirements in chronic spinal cord injury.

In chronic spinal cord injury (SCI), individuals experience dietary inadequacies complicated by an understudied research area. Our objectives were to assess (1) the agreement between methods of estimating energy requirement (EER) and estimated energy intake (EEI) and (2) whether dietary protein intake met SCI-specific protein guidelines. Persons with chronic SCI (n = 43) completed 3-day food records to assess EEI and dietary protein intake. EER was determined with the Long and Institute of Medicine (IOM) methods and the SCI-specific Farkas method. Protein requirements were calculated as 0·8-1·0 g/kg of body weight (BW)/d. Reporting accuracy and bias were calculated and correlated to body composition. Compared with IOM and Long methods (P < 0·05), the SCI-specific method did not overestimate the EEI (P = 0·200). Reporting accuracy and bias were best for SCI-specific (98·9 %, -1·12 %) compared with Long (94·8 %, -5·24 %) and IOM (64·1 %, -35·4 %) methods. BW (r = -0·403), BMI (r = -0·323) and total fat mass (r = -0·346) correlated with the IOM reporting bias (all, P < 0·05). BW correlated with the SCI-specific and Long reporting bias (r = -0·313, P = 0·041). Seven (16 %) participants met BW-specific protein guidelines. The regression of dietary protein intake on BW demonstrated no association between the variables (ß = 0·067, P = 0·730). In contrast, for every 1 kg increase in BW, the delta between total and required protein intake decreased by 0·833 g (P = 0·0001). The SCI-specific method for EER had the best agreement with the EEI. Protein intake decreased with increasing BW, contrary to protein requirements for chronic SCI.

The Impact of Nutritional Markers and Dietary Habits on the Bioimpedance Phase Angle in Older Individuals.

Low phase angle (PhA), as determined via bioelectrical impedance analysis, reflects unhealthy aging and mortality. In this study, we assessed whether nutritional status, including serum nutritional markers and dietary habits, is related to PhA in older individuals. We recruited 212 participants (aged ≥ 65 years) who underwent medical health checkups. PhA was measured using a multi-frequency impedance body composition analyzer. Habitual food and nutrient intake was evaluated using a brief, self-administered diet history questionnaire. Low PhA values were defined as ≤4.95 in males and ≤4.35 in females. Males with low PhA had poor exercise habits (p = 0.0429) and a lower body mass index (p = 0.0024). PhA was significantly correlated with serum cholinesterase levels, a nutritional status marker (r = 0.3313, p = 0.0004 in males; r = 0.3221, p = 0.0070 in females). The low-PhA group had significantly lower total energy and carbohydrate intake per ideal body weight (IBW) than the high-PhA group in males (total energy intake:30.2 ± 9.8 and 34.5 ± 9.3 kcal/kg/day, p = 0.0307; carbohydrate intake:15.2 ± 4.9 and 18.0 ± 5.8 kcal/kg/day, p = 0.0157). Total energy intake per IBW (adjusted odds ratio [95% confidence interval], 0.94 [0.89-1.00] per 1 kcal/kg/day increase) was independently associated with a low PhA in males. Our study revealed that lower total energy intake independently impacted low PhA in older males.

Assessing the effectiveness of a DASH diet in hypertensive patients attending the Ngaoundere Regional Hospital - Cameroon: a case-control study.

Hypertension remains a public health issue in Cameroon, though lifestyle and dietetic measures are the main approaches for the prevention and management of hypertension. The present study aimed at evaluating the impact of a Dietary Approaches to Stop Hypertension (DASH) diet using local foodstuffs on the status of hypertensive patients at the Ngaoundere Regional Hospital. A case-control study was carried out with 160 hypertensive patients divided into two groups, a test and a control group. A food questionnaire was used to evaluate the food habits of patients and design the sheet of the DASH diet to provide a maximum of 2000 kcal/d. The DASH diet was administered to the test group (eighty-eight patients), while the control group (seventy-two patients) consumed their normal diet. Both groups were followed up for 8 weeks. The systolic and diastolic blood pressures (SBP, DBP), body mass index (BMI), triglycerides, HDL-c, LDL-c and total-cholesterol levels of patients of the two groups were measured before and after the intervention. The results indicate that the DASH diet improves all the markers of hypertension in the test group with significant decreases in BMI, SBP, DBP, LDL-c and total-cholesterol. Patients of the control group had fourteen and seven times more risk of having increased systolic and diastolic pressures, respectively, and are thus exposed to hypertension complications. The DASH diet established in this study is therefore effective for the management of hypertension.

Dietary iron to total energy intake ratio and type 2 diabetes incidence in a longitudinal 12-year analysis of the Korean Genome and Epidemiology Cohort Study.

PURPOSE: Recent study found iron consumption has been associated with an increased risk of type 2 diabetes (T2DM). Even though, high iron intake is correlated with total caloric intake, most studies have evaluated the individual effect of iron and total caloric intake. The aim of this study was to investigate the effect of iron intake, in conjunction with total energy intake, on developing T2DM. We also investigated the interactions between dietary iron and energy ratios (IERs) and iron-related single nucleotide polymorphisms (SNPs) in the development of T2DM. METHODS: The study was carried out in Ansan and Ansung, Korea, between March 2001 and December 2014. A total of 6413 participants (3073 men and 3340 women), aged 40-69 years, were enrolled in this study. The mean follow-up period was 8.4 years. The study population was divided into quartiles based on IERs with cut-off points at 4.54, 5.41, and 6.29. The odds ratios (ORs) for new-onset T2DM were calculated across each quartile of IERs and a random forest model was constructed using the default settings to predict new-onset T2DM. To confirm the interaction among IERs, SNPs, and the incidence of T2DM, we measured the predictive power of new-onset T2DM using IER and six SNPs in genes related to iron metabolism [rs855791 (TPMRSS6), rs38116479 (TF), rs1799852 (TF), rs2280673, rs1799945 (HFT), rs180562 (HFE)]. RESULTS: The prevalence of T2DM was 762 (11.8%). IERs showed a positive association with T2DM. The ORs were 1.30 (95% CI 1.02-1.67), 1.20 (95% CI 0.94-1.56), and 1.43 (95% CI 1.11-1.86) across the IER quartiles after adjusting for non-dietary and dietary metabolic risk factors. When the IER was 1.89-fold higher than the reference group, the risk of developing T2DM increased by 43% (OR 1.43; 95% CI 1.11-1.86). CONCLUSION: A higher IER was positively associated with developing T2DM independent of dietary or non-dietary risk factors. We also found the possible interactions between the identified SNPs and iron intake in relations to T2DM.

Comparative mapping approach of energy intake and expenditure of obesity prevalence among school adolescents.

OBJECTIVE: This study aims to describe the prevalence of overweight and obesity in an obesogenic environment among adolescents in the wilaya of Bejaia (eastern Algeria), and to assess their Physical Activity Level (PAL), Daily Energy Expenditure (DEE) and Total Energy Intake (TEI). METHODS: A cross-sectional study was carried out on a sample of 3038 adolescents consisting of 1635 girls and 1403 boys in middle and high schools in 19 regions of Bejaia. The average age was 14.78 ± 2.53. Two questionnaires were assigned to collect data on their nutritional habits (24-h dietary call) and physical activity levels. BMI measurement was adopted in this study to determine the weight status of this sample and to assess the distribution of BMI, PAL, DEE, TEI over geographical areas of an administrative territory using the Student test descriptive statistical method (p < 0.05). RESULTS: The prevalence of obesity and overweight was equal to 3.3%, the physical activity level in adolescents was 1.72 ± 0.21, with boys more likely to participate in sports than girls (16.5% for boys and 6% for girls). However, energy intake (3775.44 ± 719.07 kcal/day), energy expenditure (3144.13 ± 850.54 kcal) and body mass index (30.51 ± 2.99 kg/m2) were high. Body mass index (BMI) is negatively correlated with PAL (r = -0.05) and positively correlated with TEI (r = 0.31) and DEE (r = 0.30), these results show that DEE and TEI factors play an important role in the prevalence of BMI with excessive consumption of high carbohydrate (614.55 g) and fat (98.9 g) foods, which is due to poor diet and are related to insufficient level of physical activity. The mapping shows that there is a disparity between the studied parameters: high BMI, low PAL and consumption of unhealthy foods (DEE, TEI). CONCLUSION: The lack of physical activity and the imbalance between energy intake and expenditure are the main factors that could lead to an increased risk of obesity in adolescents.

Weight-loss-independent benefits of exercise on liver steatosis and stiffness in Japanese men with NAFLD.

BACKGROUND & AIMS: A weight-loss-independent beneficial effect of exercise on non-alcoholic fatty liver disease (NAFLD) management has been reported, but the underlying mechanism is unknown. To help determine this mechanism, the effects of exercise on individual tissues (liver, adipose tissue, and skeletal muscle) were retrospectively studied. METHODS: Data from Japanese obese men with NAFLD in a 3-month exercise regimen were analysed and compared with those in a 3-month dietary restriction program designed to achieve weight loss. The underlying mechanism was studied in a smaller subcohort. RESULTS: Independent of the effect of weight loss, the exercise regimen reduced liver steatosis by 9.5% and liver stiffness by 6.8% per 1% weight loss, and resulted in a 16.4% reduction in FibroScan-AST score. Improvements in these hepatic parameters were closely associated with anthropometric changes (reduction in adipose tissue and preservation of muscle mass), increases in muscle strength (+11.6%), reductions in inflammation and oxidative stress (ferritin: -22.3% and thiobarbituric acid: -12.3%), and changes in organokine concentrations (selenoprotein-P: -11.2%, follistatin: +17.1%, adiponectin: +8.9%, and myostatin: -21.6%) during the exercise regimen. Moreover, the expression of target genes of the transcription factor Nrf2, an oxidative stress sensor, was higher in monocytes, suggesting that Nrf2 is activated. Large amounts of high-intensity exercise were effective at further reducing liver steatosis and potentiating improvements in pathophysiological parameters (liver enzyme activities and organokine profiles). CONCLUSIONS: The weight-loss-independent benefits of exercise include anti-steatotic and anti-stiffness effects in the livers of patients with NAFLD. These benefits seem to be acquired through the modification of inter-organ crosstalk, which is characterised by improvements in organokine imbalance and reductions in inflammation and oxidative stress. LAY SUMMARY: We investigated the effects of exercise on non-alcoholic fatty liver disease (NAFLD) that were not related to weight loss. We found that exercise had considerable weight-loss-independent benefits for the liver through a number of mechanisms. This suggests that exercise is important for NAFLD patients, regardless of whether they lose weight.

Does Incorporating Gender Differences into Quantifying a Food Frequency Questionnaire Influence the Association of Total Energy Intake with All-Cause and Cause-Specific Mortality?

This study aims to evaluate whether incorporating gender differences in portion sizes as part of quantifying a food frequency questionnaire influences the association of total energy intake with mortality. The analysis included 156,434 participants (70,142 men and 86,292 women) in the Multiethnic Cohort Study, aged 45-75 years at baseline. A total of 49,728 deaths were identified during an average follow-up of 18.1 years. Total energy intake and percentage energy from macronutrients were calculated using original portion sizes (PSs) and gender specific (GS)-PS and were divided into quintiles for men and women. The associations of total energy intake and percentage energy from macronutrients with all-cause, cardiovascular disease (CVD), and cancer mortality were examined using Cox regression with adjustment for potential confounders. Mean ± standard deviation daily total energy intake using original-PS was 2449 ± 1135 kcal for men and 1979 ± 962 kcal for women; using GS-PS was 1996 ± 884 kcal for men and 1595 ± 731 kcal for women. For men, the hazard ratios (HRs) (95% confidence intervals) for all-cause, CVD, and cancer comparing the highest to the lowest quintile of total energy intake were 1.05 (1.00-1.10), 1.07 (0.99-1.16), 1.03 (0.95-1.13) using original-PS and 1.07 (1.02-1.12), 1.11 (1.03-1.20), 1.02 (0.94-1.12) using GS-PS, respectively. For women, the corresponding HRs were 1.03 (0.98-1.09), 0.99 (0.91-1.08), 1.10 (1.00-1.21) using original-PS and 1.06 (1.01-1.12), 1.02 (0.94-1.12), 1.07 (0.97-1.18) using GS-PS. Both versions of percentage energy from total fat were associated with an increased risk of all-cause, CVD, and cancer mortality; on the other hand, both versions of percentage energy from carbohydrate showed inverse associations with all-cause, CVD, and cancer mortality in both men and women. When using original-PS and GS-PS, the estimated total energy intake differed, resulting in marginal differences in the associations of total energy intake with all-cause, CVD, and cancer mortality.

Can a contemporary dietary assessment tool or wearable technology accurately assess the energy intake of professional young rugby league players? A doubly labelled water validation study.

Accurate quantification of energy intake is imperative in athletes; however traditional dietary assessment tools are frequently inaccurate. Therefore, this study investigated the validity of a contemporary dietary assessment tool or wearable technology to determine the total energy intake (TEI) of professional young athletes. The TEI of eight professional young male rugby league players was determined by three methods; Snap-N-Send, SenseWear Armbands (SWA) combined with metabolic power and doubly labelled water (DLW; intake-balance method; criterion) across a combined ten-day pre-season and seven-day in-season period. Changes in fasted body mass were recorded, alongside changes in body composition via isotopic dilution and a validated energy density equation. Energy intake was calculated via the intake-balance method. Snap-N-Send non-significantly over-reported pre-season and in-season energy intake by 0.21 (2.37) MJ.day-1 (p = 0.833) and 0.51 (1.73) MJ.day-1 (p = 0.464), respectively. This represented a trivial and small standardised mean bias, and very large and large typical error. SenseWear Armbands and metabolic power significantly under-reported pre-season and in-season TEI by 3.51 (2.42) MJ.day-1 (p = 0.017) and 2.18 (1.85) MJ.day-1 (p = 0.021), respectively. This represents a large and moderate standardised mean bias, and very large and very large typical error. There was a most likely larger daily error reported by SWA and metabolic power than Snap-N-Send across pre-season (3.30 (2.45) MJ.day-1; ES = 1.26 ± 0.68; p = 0.014) and in-season periods (1.67 (2.00) MJ.day-1; ES = 1.27 ± 0.70; p = 0.012). This study demonstrates the enhanced validity of Snap-N-Send for assessing athlete TEI over combined wearable technology, although caution is required when determining the individual TEIs of athletes via Snap-N-Send.

Relationship between high dietary fat intake and Parkinson's disease risk: a meta-analysis.

OBJECTIVE: To assess whether dietary fat intake influences Parkinson's disease risk. DATA SOURCES: We systematically surveyed the Embase and PubMed databases, reviewing manuscripts published prior to October 2018. The following terms were used: ("Paralysis agitans" OR "Parkinson disease" OR "Parkinson" OR "Parkinson's" OR "Parkinson's disease") AND ("fat" OR "dietary fat" OR "dietary fat intake"). DATA SELECTION: Included studies were those with both dietary fat intake and Parkinson's disease risk as exposure factors. The Newcastle-Ottawa Scale was adapted to investigate the quality of included studies. Stata V12.0 software was used for statistical analysis. OUTCOME MEASURES: The primary outcomes included the relationship between high total energy intake, high total fat intake, and Parkinson's disease risk. The secondary outcomes included the relationship between different kinds of fatty acids and Parkinson's disease risk. RESULTS: Nine articles met the inclusion criteria and were incorporated into this meta-analysis. Four studies scored 7 and the other five studies scored 9 on the Newcastle-Ottawa Scale, meaning that all studies were of high quality. Meta-analysis results showed that high total energy intake was associated with an increased risk of Parkinson's disease (P = 0.000, odds ratio (OR) = 1.49, 95% confidence interval (CI): 1.26-1.75); in contrast, high total fat intake was not associated with Parkinson's disease risk (P = 0.123, OR = 1.07, 95% CI: 0.91-1.25). Subgroup analysis revealed that polyunsaturated fatty acid intake (P = 0.010, OR = 1.03, 95% CI: 0.88-1.20) reduced the risk of Parkinson's disease, while arachidonic acid (P = 0.026, OR = 1.15, 95% CI: 0.97-1.37) and cholesterol (P = 0.002, OR = 1.09, 95% CI: 0.92-1.29) both increased the risk of Parkinson's disease. Subgroup analysis also demonstrated that, although the results were not significant, consumption of n-3 polyunsaturated fatty acids (P = 0.071, OR = 0.88, 95% CI: 0.73-1.05), α-linolenic acid (P = 0.06, OR = 0.86, 95% CI: 0.72-1.02), and the n-3 to n-6 ratio (P = 0.458, OR = 0.89, 95% CI: 0.75-1.06) were all linked with a trend toward reduced Parkinson's disease risk. Monounsaturated fatty acid (P = 0.450, OR = 1.06, 95% CI: 0.91-1.23), n-6 polyunsaturated fatty acids (P = 0.100, OR = 1.15, 95% CI: 0.96-1.36) and linoleic acid (P = 0.053, OR = 1.11, 95% CI: 0.94-1.32) intakes were associated with a non-significant trend toward higher PD risk. Saturated fatty acid (P = 0.619, OR = 1.01, 95% CI: 0.87-1.18) intake was not associated with Parkinson's disease. CONCLUSION: Dietary fat intake affects Parkinson's disease risk, although this depends on the fatty acid subtype. Higher intake of polyunsaturated fatty acids may reduce the risk of Parkinson's disease, while higher cholesterol and arachidonic acid intakes may elevate Parkinson's disease risk. However, further studies and evidence are needed to validate any link between dietary fat intake and Parkinson's disease.

Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis.

The relationship between alcohol consumption and body weight is complex and inconclusive being potentially mediated by alcohol type, habitual consumption levels and sex differences. Heavy and regular alcohol consumption has been positively correlated with increasing body weight, although it is unclear whether this is due to alcohol consumption per se or to additional energy intake from food. This review explores the effects of alcohol consumption on food energy intake in healthy adults. CINAHL Plus, EMBASE, Medline and PsycINFO were searched through February 2018 for crossover and randomised controlled trials where an alcohol dose was compared with a non-alcohol condition. Study quality was assessed using the Effective Public Health Practice Project tool. A total of twenty-two studies involving 701 participants were included from the 18 427 papers retrieved. Studies consistently demonstrated no compensation for alcoholic beverage energy intake, with dietary energy intake not decreasing due to alcoholic beverage ingestion. Meta-analyses using the random-effects model were conducted on twelve studies and demonstrated that alcoholic beverage consumption significantly increased food energy intake and total energy intake compared with a non-alcoholic comparator by weighted mean differences of 343 (95 % CI 161, 525) and 1072 (95 % CI 820, 1323) kJ, respectively. Generalisability is limited to younger adults (18-37 years), and meta-analyses for some outcomes had substantial statistical heterogeneity or evidence of small-study effects. This review suggests that adults do not compensate appropriately for alcohol energy by eating less, and a relatively modest alcohol dose may lead to an increase in food consumption.

Sleep, Diet, and Cardiometabolic Health Investigations: a Systematic Review of Analytic Strategies.

PURPOSE OF REVIEW: Poor sleep is a risk factor for cardiometabolic morbidity. The relationship of sleep and cardiometabolic health could be confounded, mediated, or modified by diet, yet the incorporation of diet in sleep-cardiometabolic health studies is inconsistent. This rapid systematic literature review evaluates the conceptualization of diet as a confounder, mediator, or effect modifier within sleep-cardiometabolic health investigations, and the statistical approaches utilized. RECENT FINDINGS: Of 4692 studies identified, 60 were retained (28 adult, 32 pediatric). Most studies included diet patterns, quality, or energy intake as confounders, while a few examined these dietary variables as mediators or effect modifiers. There was some evidence, mostly in pediatric studies, that inclusion of diet altered sleep-cardiometabolic health associations. Diet plays a diverse role within sleep-cardiometabolic health associations. Investigators should carefully consider the conceptualization of diet variables in these relationships and utilize contemporary statistical approaches when applicable.

Dietary intake and dinner timing among shift workers in Japan.

OBJECTIVES: Shift workers are at an increased risk of diet-related chronic conditions. We aimed to investigate dietary intake and dinner timing among shift workers. METHODS: A questionnaire survey was administered to the employees of 43 companies in Japan between December 2013 and February 2014. The dietary intake of workers was assessed through a validated food frequency questionnaire (FFQ). Nutrient intake was evaluated by adjusting the total energy intake using a nutrient residual model. Analysis of covariance was used to obtain the means of total energy and nutrient intake by the work schedule (shift or daytime), and the means of total energy and nutrient intake by dinner timing (regular or irregular). RESULTS: Valid responses were obtained from 2,062 daytime and 302 shift workers. A valid response rate to the FFQ was slightly but significantly lower among shift workers than among daytime workers (87.1% and 91.8 %). When compared to daytime workers, shift workers were more likely to eat dinner at irregular times (46.7% vs. 3.6%). Shift work was associated with a higher mean body mass index (23.4 kg/m2 vs. 22.3 kg/m2), a higher proportion of being overweight (27.7% and 18.8%), higher total energy intake, and lower intakes of dietary fiber, vitamin B2, folic acid, vitamin C, potassium, calcium, magnesium and iron. Moreover, irregular dinner timing was associated with lower intakes of protein, folic acid, and zinc in daytime workers, and lower intakes of carbohydrate and copper in shift workers. CONCLUSIONS: These findings indicate a need to improve the diet of shift workers.

Beverage Consumption among Adults in the Balearic Islands: Association with Total Water and Energy Intake.

The paper seeks to describe beverage consumption and examine the association between beverage consumption and total water intake and total energy intake of the adult population in the Balearic Islands. Beverage consumption, total water intake, and total energy intake were obtained by using two 24-h diet recalls from a cross-sectional nutritional survey carried out in the Balearic Islands (n = 1386). The contribution of beverages to total water intake and total energy intake were also assessed. Beverages accounted for 65⁻71% of total water intake and 29⁻35% of it provided by drinking water. Food moisture contributed 31⁻37% of total water intake. The mean daily total water intake from all sources was around 2.2 L for men and 1.9 L for women and slightly lower than the proposed adequate intake (AI) recommendations of the European Food Safety Authority (EFSA). The mean total energy intake was 2222 kcal/day and beverages contributed 10.3% of total energy intake for men and 9.5% for women. Energy intake from beverages varied with age. In both sexes, milk was the main beverage contributed to total energy intake. The energy contribution of caloric soft drinks was 1.8% for men and 1.2% for women and energy intake from these beverages was significantly higher among younger adults. Water was the main beverage in the diet, followed by milk and hot beverages. Beverages were mainly consumed in the main meal times (breakfast, lunch, and dinner) in both sexes. The main findings of this study indicate that consumption of sugar-sweetened beverages (caloric soft drinks and commercial fruit juice) is higher among young adults, consumption of alcoholic beverages is higher among males aged 26 and older, and TWI (total water intake) is lower than the EFSA recommendations. These findings may be used to develop effective, healthy eating and drinking policies and campaigns.

Nutrient profiling and adherence to components of the UK national dietary guidelines association with metabolic risk factors for CVD and diabetes: Airwave Health Monitoring Study.

CVD is the leading cause of death worldwide. Diet is a key modifiable component in the development of CVD. No official UK diet quality index exists for use in UK nutritional epidemiological studies. The aims of this study are to: (i) develop a diet quality index based on components of UK dietary reference values (DRV) and (ii) determine the association between the index, the existing UK nutrient profile (NP) model and a comprehensive range of cardiometabolic risk markers among a British adult population. A cross-sectional analysis was conducted using data from the Airwave Health Monitoring Study (n 5848). Dietary intake was measured by 7-d food diary and metabolic risk using waist circumference, BMI, blood lipid profile, glycated Hb (HbA1c) and blood pressure measurements. Diet quality was assessed using the novel DRV index and NP model. Associations between diet and cardiometabolic risk were analysed via multivariate linear models and logistic regression. A two-point increase in NP score was associated with total cholesterol (ß -0·33 mmol/l, P<0·0001) and HbA1c (ß -0·01 %, P<0·0001). A two-point increase in DRV score was associated with waist circumference (ß -0·56 cm, P<0·0001), BMI (ß -0·15 kg/m2, P<0·0001), total cholesterol (ß -0·06 mmol/l, P<0·0001) and HbA1c (ß -0·02 %, P=0·002). A one-point increase in DRV score was associated with type 2 diabetes (T2D) (OR 0·94, P=0·01) and obesity (OR 0·95, P<0·0001). The DRV index is associated with overall diet quality and risk factors for CVD and T2D, supporting its application in nutritional epidemiological studies investigating CVD risk in a UK population.

Dietary intake of fat and fibre according to reference values relates to higher gut microbiota richness in overweight pregnant women.

The diet-microbiota-metabolism relationships during pregnancy are mostly unknown. We explored the effect of the habitual diet and adherence to the dietary reference values on gut microbiota composition and diversity. Further, the association of gut microbiota with serum lipidomics and low-grade inflammation was evaluated. Overweight and obese women (BMI 30·7 (sd 4·4) kg/m2, n 100) were studied at early pregnancy (≤17 weeks). Intakes of nutrients were calculated from 3-d food diaries. Faecal microbiota composition was analysed using 16S rRNA gene sequencing. Fasting serum lipidomic profiles were determined by NMR. High-sensitivity C-reactive protein, glycoprotein acetylation (GlycA) and lipopolysaccharide activity were used as markers for low-grade inflammation. The recommended dietary intake of fibre and fat was related to higher gut microbiota richness and lower abundance of Bacteroidaceae. Correlations were observed between gut microbiota richness and GlycA and between a few microbiota genera and serum lipoprotein particles. As a conclusion, adherence to the dietary reference intake of fat and fibre was associated with beneficial gut microbiota composition, which again contributed to lipidomic profile. Higher gut microbiota richness and nutrient intakes were linked to a lower level of low-grade inflammation marker GlycA. This finding offers novel insights and opportunities for dietary modification during pregnancy with potential of improving the health of the mother and the child.

Higher densities of fast-food and full-service restaurants are not associated with obesity prevalence.

Background: The obesity epidemic in the United States has been mirrored by an increase in calories consumed outside of the home and by expansions in the numbers of, and portion sizes at, both fast-food restaurants (FFRs) and full-service restaurants (FSRs), leading some to blame the epidemic on the restaurant industry. If this were indeed true, one would predict that greater per capita densities of FFRs and FSRs would lead to greater obesity prevalence.Objective: We evaluated the population-level association between both FSRs and FFRs and the prevalence of obesity and calculated the proportion of calories consumed in these establishments.Design: In this ecological cross-sectional study, we used county-level data (aggregate-level data) for obesity prevalence across the mainland United States in 2012 and matched these data to county-level per capita densities of FFRs and FSRs in the same year. Multiple linear regression was used to determine the relation between the prevalence of obesity and the densities of FFRs and FSRs after adjustment for confounding factors.Results: Contrary to expectations, obesity prevalence was highly significantly negatively related to the densities of both FFRs and FSRs (combined-effect R2 = 0.195). This was principally because greater numbers of both FFRs and FSRs were located in areas in which individuals were on average wealthier and more educated. When we normalized for these factors (and additional socioeconomic variables), the associations between restaurant densities and obesity effectively disappeared (pooled R2 = 0.008). Our calculations showed that the percentage of total calories consumed in FFRs and FSRs is a mean of only 15.9% of the total intake (maximum: 22.6%).Conclusions: Variations in the densities of FFRs and FSRs are not linked to the prevalence of obesity in the United States, and food consumed in these establishments is responsible for <20% of total energy intake. This finding has implications for policy decisions regarding how we aim to tackle the obesity epidemic.

Intake of different dietary proteins and risk of type 2 diabetes in men: the Kuopio Ischaemic Heart Disease Risk Factor Study.

The roles of different dietary proteins in the aetiology of type 2 diabetes (T2D) remain unclear. We investigated the associations of dietary proteins with the risk of incident T2D in Finnish men from the prospective Kuopio Ischaemic Heart Disease Risk Factor Study. The study included 2332 men aged 42-60 years at the baseline examinations in 1984-1989. Protein intakes were calculated from 4-d dietary records. Incident T2D was determined by self-administered questionnaires, fasting blood glucose measurements, 2-h oral glucose tolerance tests, and with national registers. The multivariable-adjusted risk of T2D on the basis of protein intakes was compared by the Cox proportional hazard ratios (HR). During the mean follow-up of 19·3 years, 432 incident T2D cases were identified. Total, animal, meat or dairy product protein intakes were not associated with risk of T2D when the potential confounders were accounted for. Plant (multivariable-adjusted extreme-quartile HR 0·65; 95 % CI 0·42, 1·00; P trend 0·04) and egg (HR 0·67; 95 % CI 0·44, 1·00; P trend 0·03) protein intakes were associated with a decreased risk of T2D. Adjustments for BMI, plasma glucose and serum insulin slightly attenuated associations. Replacing 1 % energy from carbohydrates with energy from protein was associated with a 5 % (95 % CI 0, 11) increased risk of T2D, but adjustment for fibre intake attenuated the association. Replacing 1 % of energy from animal protein with energy from plant protein was associated with 18 % (95 % CI 0, 32) decreased risk of T2D. This association remained after adjusting for BMI. In conclusion, favouring plant and egg proteins appeared to be beneficial in preventing T2D.

Total energy intake accounts for postnatal anthropometric growth in moderately/late preterm infants.

OBJECTIVE: Moderately preterm (MP) (32-33 weeks) and late preterm (LP) (34-36 weeks) infants have higher risks of mortality and growth and developmental problems. We, herein present a new concept of nutritional assessment, total energy intake (TEI), which is the sum total of kilocalories administered in all nutrient forms. METHODS: Fifty-two preterm infants were classified as MP (n = 12), LP/appropriate for gestational age (LP/AGA) (n = 33), or LP/small for gestational age (LP/SGA) (n = 7). All groups received nutrient therapy by the same protocol. The sum of the daily energy intake at 14 and 28 days after birth was determined. RESULTS: TEI was 2822.1 ± 162.1 kcal/kg/28 days in the MP group, 3187.2 ± 265.0 kcal/kg/28 days in the LP/AGA group and 3424.6 ± 210.4 kcal/kg/28 days in the LP/SGA group. In all groups, TEI for 28 days was significantly correlated with body weight gain (r = 0.465, p = 0.006). TEI for 14 days after birth was inversely correlated with the body weight loss rate after birth (r = -0.491, p = 0.0002). CONCLUSION: TEI was well correlated with anthropometric changes after birth. TEI may be used to effectively assess preterm infants' nutritional needs.