Breakfast quality and cardiometabolic risk profiles in an upper middle-aged German population

Duration of Morning Hyperinsulinemia is Key to the Enhancement of Hepatic Glucose Uptake and Glycogen Storage Later in the Day

The second meal phenomenon refers to the improvement in glucose tolerance seen following a second identical meal. We previously showed that 4 hours of morning (AM) hyperinsulinemia, but not hyperglycemia, enhanced hepatic glucose uptake (HGU) and glycogen storage during an afternoon (PM) hyperinsulinemic hyperglycemic clamp (HIHG). Our current aim was to determine if the duration or pattern of morning hyperinsulinemia is important for the PM response to a HIHG clamp. To determine this, we administered the same total amount of insulin either over 2h in the first half of the morning (Ins2h-A), over 2h in the 2nd half of the morning (Ins2h-B), or over the entire 4h (Ins4h) of the morning. In the 4h PM period, all three groups had 4x basal insulin, 2x basal glycemia, and portal glucose infusion to simulate a meal. During the PM clamp, there was a marked increase in the mean hepatic glucose uptake and hepatic glycogen synthesis in the Ins4h group compared to the Ins2h-A and Ins2h-B groups, despite matched hepatic glucose and insulin loads. Thus, the longer duration (Ins4h) of mild hyperinsulinemia in the morning seems to be the key to much greater liver glucose uptake during the PM clamp.

Breakfast quality and its sociodemographic and psychosocial correlates among Italian children, adolescents, and adults from the Italian Nutrition & HEalth Survey (INHES) study

BACKGROUND

Breakfast quality, together with regularity of breakfast, has been suggested to be associated with cardiometabolic health advantages. We aimed to evaluate the quality of breakfast and its socioeconomic and psychosocial correlates in a large sample of the Italian population.

METHODS

Cross-sectional analyses on 7,673 adult and 505 children/adolescent regular breakfast eaters from the Italian Nutrition & Health Survey (INHES; 2010-2013). Dietary data were collected through a single 24-h dietary recall. Breakfast quality was assessed through the Breakfast Quality Index (BQI) combining intake of ten food groups, energy, and nutrients of public health concern, and potentially ranging from 0 to 10. The association of sociodemographic and psychosocial factors with BQI were analyzed by multivariable-adjusted linear regression models.

RESULTS

The average BQI was 4.65 (SD ± 1.13) and 4.97 (SD ± 1.00) in adults and children/adolescents, respectively. Amongst adults, older age (β = 0.19; 95%CI 0.06 to 0.31 for > 65 vs. 20-40 years) and having a high educational level (β = 0.13; 0.03 to 0.23; for postsecondary vs. up to elementary) were independent predictors of better breakfast quality, while men reported lower BQI (β = -0.08; -0.14 to -0.02 vs. women). Perceived stress levels at home and work and financial stress were inversely associated with BQI. Children/adolescents living in Central and Southern Italian regions had lower BQI compared to residents in Northern Italy (β = -0.55; -0.91 to -0.19 and β = -0.24; -0.47 to -0.01, respectively).

CONCLUSIONS

In adults, breakfast quality was associated with age, sex, and educational level. Perceived stress levels were inversely associated with the quality of breakfast. In children/adolescents, a north-south gradient in breakfast quality was observed.

Habitually Skipping Breakfast Is Associated with the Risk of Gastrointestinal Cancers: Evidence from the Kailuan Cohort Study

BACKGROUND

Habitually skipping breakfast may promote the initiation and progression of gastrointestinal (GI) cancers, which have never been systematically explored in large-scale prospective studies.

METHODS

We prospectively examined the effects of breakfast frequency on the occurrence of GI cancers among 62,746 participants. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of GI cancers were calculated by Cox regression. The CAUSALMED procedure was used to perform the mediation analyses.

RESULTS

During a median follow-up of 5.61 (5.18 ~ 6.08) years, 369 incident GI cancer cases were identified. Participants who consumed 1-2 times breakfasts per week exhibited an increased risk of stomach (HR = 3.45, 95% CI: 1.06-11.20) and liver cancer (HR = 3.42, 95% CI: 1.22-9.53). Participants who did not eat breakfast had an elevated risk of esophageal (HR = 2.72, 95% CI: 1.05-7.03), colorectal (HR = 2.32, 95% CI: 1.34-4.01), liver (HR = 2.41, 95% CI: 1.23-4.71), gallbladder, and extrahepatic bile duct cancer (HR = 5.43, 95% CI: 1.34-21.93). In the mediation effect analyses, BMI, CRP, and TyG (fasting triglyceride-glucose) index did not mediate the association between breakfast frequency and the risk of GI cancer incidence (all P for mediation effect > 0.05).

CONCLUSIONS

Habitually skipping breakfast was associated with a greater risk of GI cancers including esophageal, gastric, colorectal, liver, gallbladder, and extrahepatic bile duct cancer.

TRIAL REGISTRATION

Kailuan study, ChiCTR-TNRC-11001489. Registered 24 August, 2011-Retrospectively registered, http://www.chictr.org.cn/showprojen.aspx?proj=8050.

Meal-specific dietary patterns and biomarkers of insulin resistance in a sample of Iranian adults: a cross-sectional study

Current research emphasizes the habitual dietary pattern without differentiating eating occasions. We aimed to assess meal-specific dietary patterns and insulin resistance indicators. This cross-sectional study was conducted on 825 Iranian adults. Dietary data were recorded by three 24-h dietary recalls. Dietary patterns were identified using principal component analysis (PCA) on main meals and an afternoon snack. Anthropometric measurements, blood pressure, and laboratory investigation, fasting plasma glucose (FPG), triglyceride, insulin, c-reactive protein (CRP) were done. Homeostatic model assessment for insulin resistance and sensitivity (HOMA-IR and HOMA-IS), Triglycerides and glucose (TyG-index), and Lipid accommodation product index were calculated. We used multivariate analysis of variance (MANOVA) analysis. Two major dietary patterns at the main meals and the afternoon were identified. Higher adherence to "Bread, vegetable, and cheese" dietary pattern at breakfast was related to lower FPG, and "Oil, egg, and cereals" showed a direct association with body mass index, FPG, and TyG-index at breakfast. The "Western" pattern in lunch and dinner directly related to waist circumference (WC) and body mass index, however, it was inversely related to HOMA-IS. This pattern at dinner was related to higher CRP. Higher adherence to "bread, cereals, and oil" pattern at afternoon snack was associated with a lower WC. These results indicated that unhealthy meal-specific dietary patterns are associated with a greater chance of obesity and insulin resistance risk. However, "Bread, vegetable, and cheese" dietary pattern at breakfast was related to lower FPG, and "bread, cereals, and oil" pattern in the afternoon was associated with lower WC.

Consumption and Breakfast Patterns in Children and Adolescents with Congenital Heart Disease

Little is known about skipping breakfast and breakfast patterns (BP) and their evaluation according to sociodemographic, clinical, lifestyle, cardiometabolic and nutritional data in children and adolescents with congenital heart disease (CHD). This cross-sectional study with 232 children and adolescents with CHD identified the prevalence and patterns of the breakfast, described these according to sociodemographic, clinical and lifestyle characteristics, and assessed their association with cardiometabolic and nutritional markers. Breakfast patterns were identified by principal components, and bivariate and linear regression analysis were applied. Breakfast consumption was observed in 73% of participants. Four BP were identified: pattern 1 "milk, ultra-processed bread, and chocolate milk", pattern 2 "margarine and processed bread", pattern 3 "cold meats/sausages, cheeses and butter/cream" and pattern 4 "fruits/fruit juices, breakfast cereals, yogurts, and homemade cakes/pies and sweet snacks". Family history for obesity and acyanotic CHD were associated with breakfast skipping. Younger participants and greater maternal education were associated with greater adherence to pattern 1 and pattern 4. Older participants and longer post-operative time showed greater adherence to pattern 3. No association between skipping breakfast or BP and cardiometabolic and nutritional markers was observed. Nonetheless, the findings reinforce the need for nutritional guidance for healthy breakfast, aiming to reduce the consumption of ultra-processed foods and to prioritize fresh and minimally processed foods.

Systematic Breakfast Consumption of Medium-Quantity and High-Quality Food Choices Is Associated with Better Vascular Health in Individuals with Cardiovascular Disease Risk Factors

BACKGROUND

Breakfast consumption has been associated with the improvement of many cardiovascular disease (CVD) risk factors, yet data regarding its association with subclinical vascular damage, which precedes the onset of CVD, are scarce. The aim of this study is to investigate this association in a large sample of adults with CVD risk factors.

METHODS

Anthropometric measurements, vascular biomarkers and dietary intake with two 24-h dietary recalls, focusing on breakfast frequency and its quantity and content, were assessed in 902 adults (45.2% males). Breakfast quality was assessed by identifying a posteriori breakfast dietary pattern (DP) by using principal component analysis (PCA).

RESULTS

Systematic breakfast consumption (SBC) was inversely associated with central systolic blood pressure (b: -3.28, 95% C.I.: -5.7 to -0.86), diastolic blood pressure (b: -1.85, 95% C.I.: -3.34 to -0.36), augmentation index (b: -3.17, 95% C.I.:-4.98 to 1.35) and left carotid intima media thickness (b: -0.03, 95% C.I.:-0.06 to -0.01) compared to breakfast skipping independently of age, sex, hypertension, diabetes, dyslipidemia, smoking, and BMI. SBC of 10-20% of daily total energy intake (dTEI) was inversely associated with Aix (b: -2.31, 95% C.I.:-4.05 to -0.57) compared to <10% dTEI after adjustment for the aforementioned confounders. DP1 (high coffee and sugar consumption, low consumption of low- and full-fat dairy products, fruits, and fresh juices) was positively associated with Aix (b: 1.19, 95% C.I.: 0.48 to 1.90).

CONCLUSION

SBC comprised of medium-energy density and high-nutrient content food items may be a simple daily habit associated with better vascular health.

Breakfast Size and Prevalence of Metabolic Syndrome in the European Prospective Investigation into Cancer and Nutrition (EPIC) Spanish Cohort

BACKGROUND

Recent evidence suggest that energy distribution during the daytimecould be a potential determinant for the development of metabolic syndrome (MetS).

OBJECTIVE

To cross-sectionally assess the association between breakfast size and the prevalence of MetS in Spanish adults.

METHODS

Our study included a subset of 3644 participants from the European Prospective Investigation into Cancer and Nutrition Spain study recontacted between 2017-2018. Information on diet, sociodemographic, lifestyle, sleep quality, and chronotype was collected using standardized questionnaires, while anthropometric and blood pressure data were measured in a face-to-face personal interview by a nurse. MetS was defined according to the Adult Treatment Panel III (ATPIII) definition by measuring serum levels of total cholesterol, tryglycerides and glucose. Breakfast size was calculated as: (energy from breakfast/total energy intake) * 2000 kcal. To evaluate the association between breakfast size and MetS prevalence, a multivariable logistic regression model adjusted by potential confounders was used to estimate OR and 95% CI.

RESULTS

Prevalence of MetS in our study was 40.7%. The mean breakfast size was 306.6 * 2000 kcal (15% of the total daily energy intake), with 14 (0.4%) participants skipping breakfast. Participants in the highest quartile of breakfast size had a lower MetS prevalence compared to participants in the lowest quartile (OR_Q4vsQ1 = 0.62; 95% CI = 0.51-0.76; p-trend < 0.001). No modification of the estimated ORs by sex, breakfast time, and number of eating occasions per day were observed.

CONCLUSION

Our results suggest that higher breakfast size is associated with lower prevalence of MetS in Spanish adults, supporting the importance of a high energy breakfast. Further prospective studies are necessary to confirm these findings.

Breakfast Quality and Insulin Resistance in Spanish Schoolchildren: A Cross-Sectional Study

Background: Breakfast has traditionally been considered one of the most important meals of the day; however, there is little evidence for the influence of breakfast quality and insulin resistance (IR). This study aimed to assess the quality of breakfast in a group of schoolchildren, and its association with IR. Methods: A cross-sectional study with 852 children (8−13 years) was carried out. Fasting plasma glucose, insulin and anthropometric parameters were measured. A three-day dietary record was used to assess their diet and to calculate the Breakfast Quality Index (BQI). The sample was divided into tertiles according to the BQI (tertile 3: better breakfast quality). The homeostatic model was used to assess insulin resistance (HOMA-IR), and IR was defined as HOMA-IR > 3.16. Results: The prevalence of IR was 5.2%. The mean BQI score was 4.50 ± 1.25, and boys had lower scores than girls. Children in the BQI tertile 3 had a better global diet quality. In boys, being in the BQI tertile 3 was associated with a lower risk of IR (OR [95% CI]: 0.10 [0.01−0.77], p < 0.05). Conclusions: A higher-quality breakfast was associated with better overall diet quality and a lower risk of IR, especially in boys.

Association of breakfast consumption frequency with fasting glucose and insulin sensitivity/b cells function (HOMA-IR) in adults from high-risk families for type 2 diabetes in Europe: the Feel4Diabetes Study

PURPOSE

This study aimed to investigate the association of breakfast consumption frequency (BCF) with glycemic control indices in a cross-sectional sample of adults from families at high risk for type 2 diabetes mellitus (T2DM), exploring the role of sex and socioeconomic status (SES).

METHODS

In 2370 adults (40.8 ± 5.6 years) from 6 European countries, sociodemographic, lifestyle, anthropometric and biochemical characteristics were assessed through standardized procedures. Multivariable regression models were used to examine the association between fasting glucose (FG), fasting insulin (FI), and insulin resistance (HOMA-IR) (dependent variables) with BCF (independent variable) controlling for multiple possible confounders.

RESULTS

A linear association of BCF with FG (β = -0.557, 95% CI (-0.834, -0.280)) and a quadratic association with FI and HOMA-IR with the highest point of curve observed at BCF = 2.989 (times/week) and at BCF = 2.746, respectively, independent of the used covariates. In males and in participants of high SES, BCF was linearly and inversely associated with FG, while with FI and HOMA-IR there was an association with BCF in quadratic function. In females, BCF was linearly and inversely associated with FG and HOMA-IR, and there was a quadratic association with FI. In low SES there was only a linear association with FG, yet with no statistically significant findings for FI and HOMA-IR.

CONCLUSIONS

Regular breakfast consumption, especially >3 times/week is associated with improved indices of glycemic control. This association was diminished in low SES participants in the presence of the used covariates.

Meal-specific dietary patterns and their contribution to habitual dietary patterns in the Iranian population

Recent studies have focused on habitual intake without addressing meal-specific intakes. We aimed to identify meal-specific dietary patterns and their contribution to habitual dietary patterns. This cross-sectional study was conducted on 838 adults, both sexes who attended the health centres in Tehran. Dietary data were recorded by three 24-h dietary recalls (24hDR). Dietary patterns were identified by using principal component analysis on meal-specific and overall food intakes. Intraclass correlation (ICC) was used as a measurement of consistency across meals and days. Correlation analysis and linear regression (partial R2) were used for meals contribution. Four habitual dietary patterns were derived from average dietary intake of 3-d 24hDR labelled as 'Western', 'Healthy', 'Traditional' and 'Legume and broth'. Also, we identified two major dietary patterns on each meal level (factor 1 and 2 for breakfast, lunch, afternoon snack and dinner). The highest contribution of energy intake was observed in lunch (25·7 %), followed by dinner (20·81 %). Consistency of food groups was the highest across days (ICC tea = 0·58) and breakfasts (ICC tea = 0·60). Dinner had a strong correlation coefficient with the 'Western' habitual dietary pattern then followed by lunch. Similarly, dinner and lunch contributed the most (r and partial R2) to the 'Western' habitual dietary pattern. Our results suggest that habitual dietary patterns to several extents are formed at meal levels, and dinner has a greater contribution to the habitual dietary patterns in Iranian people. This may help planning for local dietary guidelines according to the time of eating to promote public health.

Nutritional self-care practices and skills of patients with diabetes mellitus: A study at a tertiary hospital in Ghana

Introduction

Nutritional management decreases and/or prevents the complications and deaths associated with diabetes mellitus. However, the majority of patients living with diabetes do not engage in optimal nutritional management of diabetes because they see it as the most difficult aspect of managing the condition. This study aimed to explore and describe the practices and skills on nutritional management of diabetes mellitus among patients living with diabetes attending a Ghanaian hospital.

Materials and methods

This study employed an exploratory, descriptive qualitative research design. Fifteen participants were recruited using purposive sampling, and interviewed with a semi-structured interview guide. Content analysis was performed on the data gathered, following which three main themes emerged.

Results

More than two-thirds of the participants of this study had adequate meal planning skills, ate the right quantity of foods, engaged in healthy eating habits, and consumed healthy sources of carbohydrates, fats and protein when eating. However, more than half of the participants had insufficient knowledge and skills in the reading and usage of food labels.

Conclusions

The participants of this study largely engaged in optimal nutritional management of diabetes due to their healthy dietary practices and preferences. It is recommended that health care professionals in Ghana find practical and robust ways to factor the reading and usage of food labels into the care and management of patients with diabetes.

A Healthy Diet Rich in Calcium and Vitamin C Is Inversely Associated with Metabolic Syndrome Risk in Korean Adults from the KNHANES 2013-2017

The association between metabolic syndrome and eating patterns remains unclear. We hypothesized that Korean Healthy Eating Index (KHEI) scores were related to metabolic syndrome (MetS) risk in adults in a gender-dependent manner. We aimed to examine the hypothesis using the Korea National Health and Nutrition Examination Survey-VI (2013-2017) data with a complex sample survey design. Adjusted means and 95% confidence intervals of KHEI scores and nutrient intake estimated by the 24-h recall were calculated according to MetS status after adjusting for age, residence area, region, education, obesity, income, drinking status, smoking status, marriage, and exercise. Adjusted odds ratios for MetS were measured according to KHEI quartiles using logistic regression analysis while controlling for covariates. MetS incidence was significantly higher in females than in males. Those who were older, less educated, earning less income, more obese, living in rural areas, drinking severely, non-exercising, and married had higher MetS incidence than those with the opposite state. Total KHEI scores of all components KHEI scores were lower for those with MetS (MetS group) than those without MetS (Non-MetS group) in both genders. For KHEI components, having breakfast and milk and fat intake had lower scores for the MetS group than for the Non-MetS group in women, whereas fruits and milk and milk product intake had lower scores for the MetS group in men. Nutrient intake influenced the MetS risk in females more than in males. Fat, calcium, and vitamin C intakes from 24-h recall were lower in the MetS group than in the Non-MetS group in women. KHEI scores had an inverse association with MetS risk by 0.98-fold in both genders after adjusting for covariates. In conclusion, a healthy diet that includes adequate calcium and vitamin C is associated with a lower the risk of MetS in both men and women.

Effect of breakfast cereal type on portion size and nutritional implications

OBJECTIVE

The present study aimed to assess the effect of different types of breakfast cereal (BC) on portion size and the nutritional implications of potential under or overserving.

DESIGN

A cross-sectional analysis was performed using one BC from the seven established BC manufacturing methods (flaking (F), gun puffed (GP), oven puffed (OP), extruded gun puffed (EGP), shredded wholegrain (SW), biscuit formed (BF) and granola). Participants were asked to pour cereal as if they were serving themselves (freepour). Difference between the freepour and recommended serving size (RSS) was calculated (DFR). The Friedman test followed by Dunn's multiple comparison test was used to test for a significant differences between cereal categories.

SETTING

City of Chester, North West of the UK.

PARTICIPANTS

Adults (n 169; n 110 female, 32 (sd 18) years).

RESULTS

Freepour values were greater than RSS for all categories of BC. Median values for denser cereals such as SW, granola and oats were significantly (P < 0·001) greater than all other categories with granola having the highest median freepour value of 95 g. Median (and range of) DFR weight values for granola were significantly higher than other BC (50·0 g (-24·0 to 267·0 g), P < 0·001). BC with the lowest median DFR were F1 (7·0 g (-20 to 63·0 g)), GP (6·0 g (-26·0 to 69·0 g)), EGP (6·0 g (-26·0 to 56·0 g)), OP (5·0 g (-27·0 to 53·0 g)) and BF (0·0 g (-28·2 to 56·4 g)).

CONCLUSIONS

The degree of overserving may be related to the type of BC with denser cereals more readily overserved. Encouraging manufacturers to reformulate cereals and improving their nutritional properties may have benefit in reducing excess energy intake.

Breakfast-Based Dietary Patterns and Obesity in Tehranian Adults

BACKGROUND

Breakfast is an important meal of the day that contributes to an overall healthy dietary pattern, better nutrient intake, and diet quality. This study sought to investigate the relationship between breakfast patterns and general and central obesity among middle-aged adults.

METHODS

In this cross-sectional study of 840 apparently healthy women and men, aged 20-59 years, we assessed usual dietary intake by means of three 24-hour dietary recalls and we took anthropometric measurements. Dietary patterns were subsequently identified by factor analysis. To assess the association between breakfast composition and central and general obesity, logistic regression analysis was performed.

RESULTS

We identified three major dietary patterns by factor analysis: the "bread and grains, meat products, and coffee" dietary pattern, the "sweets, tea and coffee" dietary pattern, and the "fruits, vegetables, and eggs" dietary pattern. Those people in the third tertile of the "sweets, tea and coffee" dietary category had a greater chance of having central obesity (odds ratio, 1.80; 95% confidence interval, 1.25-2.59; P=0.001). Moreover, higher adherence to the "bread and grains, meat products, and coffee" pattern increased the chance of central obesity (odds ratio, 1.67; 95% confidence interval, 1.47-1.97; P=0.03).

CONCLUSION

Overall, our results suggest that specific breakfast dietary patterns are associated with increased odds of central obesity in Iranian adults.

Nutritional breakfast quality and cardiometabolic risk factors: Health Survey of São Paulo, a population-based study

OBJECTIVE

To evaluate the association between nutritional quality of breakfast and cardiometabolic risk factors.

DESIGN

Cross-sectional study, 2015 Health Survey of São Paulo (2015 ISA-Capital) with Focus on Nutrition Study (2015 ISA-Nutrition).

SETTINGS

Population-based study, with a representative sample of adults and elderlies living in São Paulo, Brazil.

PARTICIPANTS

The sample included 606 adults (aged 20-59 years) and 537 elderlies (aged ≥60 years) from the 2015 Health Survey of São Paulo. Dietary intake was assessed by at least one 24-h recall. Breakfast quality was evaluated using the proposed Brazilian Breakfast Quality Index (BQI), ranging scores from 0 to 10. BQI associations with sociodemographic, lifestyle, dietetic and cardiometabolic variables were estimated using survey-weighted multiple logistic regression models.

RESULTS

Being ≥60 years of age, self-identifying as White or Asian, having a per capita family income with ≥1 minimum wage, being sufficiently active at leisure time and non-smoker were associated with better scores of BQI. A higher BQI score was inversely associated with elevated blood pressure (OR 0·81, 95 % CI 0·70, 0·94), fasting glucose (OR 0·85, 95 % CI 0·73, 0·98), HOMA-IR (OR 0·86, 95 % CI 0·74, 0·98), total cholesterol (OR 0·87, 95 % CI 0·76, 0·99), LDL-C (OR 0·85, 95 % CI 0·74, 0·97), metabolic syndrome (OR 0·82, 95 % CI 0·72, 0·93) and being overweight (OR 0·87, 95 % CI 0·76, 0·99).

CONCLUSIONS

Breakfast quality of Brazilian adults needs improvement with disparities across some sociodemographic factors. BQI was associated with lower odds of cardiometabolic risk factors, suggesting a beneficial effect in this population and emphasising the role of breakfast in reducing the risk of CVD.

Skipping breakfast before and during early pregnancy and incidence of gestational diabetes mellitus: the Japan Environment and Children's Study

BACKGROUND

There is little evidence linking breakfast skipping to the incidence of gestational diabetes mellitus (GDM).

OBJECTIVES

We aimed to evaluate the prospective association of breakfast consumption with the incidence of GDM.

METHODS

A total of 103,099 pregnancies were registered during study enrollment (January 2011 to March 2014), involving 97,454 pregnant women from 15 areas across Japan. Singleton pregnant women free of GDM, stroke, heart disease, cancer, and type 1 or type 2 diabetes at the study enrollment were eligible for analysis. We used a self-administered questionnaire to obtain data on demographic information, socioeconomic status, self-rated health status, disease history, lifestyle, and dietary habits of each woman at study enrollment. A semiquantitative FFQ was used for dietary assessment. We used logistic regression to obtain the OR of GDM in relation to breakfast consumption.

RESULTS

Among 84,669 pregnant women for analysis, 1935 cases of GDM were documented. After adjustment for potential confounding factors including prepregnancy BMI, the multivariable-adjusted ORs of GDM for women who consumed breakfast 5-6 times/wk, 3-4 times/wk, and 0-2 times/wk were 1.09 (95% CI: 0.93, 1.27), 1.14 (95% CI: 0.96, 1.34), and 1.21 (95% CI: 1.05, 1.41), respectively, compared with daily breakfast eaters. The association appeared to be dose dependent (P-trend = 0.006) and was not significantly modified by prepregnancy BMI.

CONCLUSIONS

Breakfast consumption <3 times/wk before and during early pregnancy, compared with daily consumption, was associated with an increased odds of developing GDM.

Associations of food groups and cardiometabolic and inflammatory biomarkers: does the meal matter?

Increased attention has been paid to circadian patterns and how predisposition to metabolic disorders can be affected by meal timing. Currently, it is not clear which role can be attributed to the foods selected at meals. On a cross-sectional sub-cohort study (815 adults) within the European Prospective Investigation into Cancer and Nutrition-Potsdam study, we investigated whether the same foods (vegetables, fruits, refined grains, whole grains, red and processed meats) eaten at different meals (breakfast, lunch or dinner) show different associations with biomarkers of cardiometabolic risk. Meal-specific usual intakes were calculated from multiple 24-h dietary recalls. Multivariable-adjusted linear regression models showed that intake of vegetables at breakfast was associated with lower LDL-cholesterol (-0·37 mmol/l per 50 g; 95 % CI -0·61, -0·12) and vegetables at dinner was associated with higher HDL-cholesterol (0·05 mmol/l per 50 g; 95 % CI 0, 0·10). Fruit intake at breakfast was associated with lower glycated Hb (HbA1c) (-0·06 % per 50 g; 95 % CI -0·10, -0·01) and fruits at dinner with lower C-reactive protein (CRP) (-0·21 mg/l per 50 g; 95 % CI -0·42, -0·01). Red and processed meat intake at breakfast was associated with higher HbA1c (0·25 % per 50 g; 95 % CI 0·05, 0·46) and CRP (0·76 mg/l per 50 g; 95 % CI 0·15, 1·36). Our results suggest that by preferring fruits and vegetables and avoiding red and processed meats at specific meals (i.e. breakfast and dinner), cardiometabolic profiles and ultimately chronic disease risk could be improved. Lunch seemed to be a less important meal in terms of food-biomarker associations.

Breakfast eating patterns and drivers of a healthy breakfast composition

Breakfast has long been described as the most important meal of the day. While breakfast habits and their consequences on children's health and performance are well documented, studies on the adult population are lacking. The present study will fill this gap, providing a comprehensive picture of the Swiss breakfast habits and insights into the determinants of a healthy breakfast composition. Data were collected through a postal survey sent out to a randomly selected sample of 1917 German-speaking Swiss residents, yielding a final sample size of N = 460. Breakfast habits were disclosed, and individual breakfast healthiness scores were assessed by two nutrition specialists. A multiple regression analysis was then performed to investigate the influence of several motivational, socio-demographic, health- and knowledge-related determinants on breakfast healthiness. The sample showed recommendable habits in terms of consumption frequency and quite traditional eating patterns, illustrated by the prevalence of continental breakfasts and equally marked by the frequent consumption of dairy products. Overall, the Swiss breakfast composition is moderately healthy, lacking fruits and whole grain products. Paying attention to healthy food choices in general, higher education level, being a woman and reporting to be fit are factors linked to a healthier breakfast composition; while preferences for low-fat, familiar or convenient foods are correlated to less healthy patterns. Given the parallel between the determinants of a healthy breakfast composition and those of a healthy diet and taking some limiting factors, such as consumers preference for convenience and strong habits, into account, we support the current nutritional advice focusing on balancing the diet over the day or the week rather than on recommendations dedicated to specific meals.

Breakfast Skipping Is Associated with Increased Risk of Type 2 Diabetes among Adults: A Systematic Review and Meta-Analysis of Prospective Cohort Studies

Background

Epidemiologic studies have indicated that breakfast skipping is associated with risk of type 2 diabetes. However, the shape of the dose-response relation and the influence of adiposity on this association have not been reported.

Objective

We investigated the association between breakfast skipping and risk of type 2 diabetes by considering the influence of the body mass index (BMI).

Methods

In this systematic review and meta-analysis, PubMed and Web of Science were searched up to August 2017. Prospective cohort studies on breakfast skipping and risk of type 2 diabetes in adults were included. Summary RRs and 95% CIs, without and with adjustment for BMI, were estimated with the use of a random-effects model in pairwise and dose-response meta-analyses.

Results

In total 6 studies, based on 96,175 participants and 4935 cases, were included. The summary RR for type 2 diabetes comparing ever with never skipping breakfast was 1.33 (95% CI: 1.22, 1.46, n = 6 studies) without adjustment for BMI, and 1.22 (95% CI: 1.12, 1.34, n = 4 studies) after adjustment for BMI. Nonlinear dose-response meta-analysis indicated that risk of type 2 diabetes increased with every additional day of breakfast skipping, but the curve reached a plateau at 4-5 d/wk, showing an increased risk of 55% (summary RR: 1.55; 95% CI: 1.41, 1.71). No further increase in risk of type 2 diabetes was observed after 5 d of breakfast skipping/wk (P for nonlinearity = 0.08).

Conclusions

This meta-analysis provides evidence that breakfast skipping is associated with an increased risk of type 2 diabetes, and the association is partly mediated by BMI.

Association between breakfast composition and abdominal obesity in the Swiss adult population eating breakfast regularly

BACKGROUND

Evidence from experimental and observational studies is limited regarding the most favorable breakfast composition to prevent abdominal fat accumulation. We explored the association between breakfast composition (a posteriori derived dietary patterns) and abdominal obesity among regular breakfast eaters from a Swiss population-based sample.

METHODS

The cross-sectional survey assessed diet using two 24-h dietary recalls in a nationally representative sample of adults aged 18 to 75 years. We derived dietary patterns using principal component analysis based on the intake of 22 breakfast-specific food groups. All regular breakfast eaters were predicted an individual score for each identified pattern, and then classified into tertiles (T1, T2, T3). We defined abdominal obesity as waist-to-hip ratio (WHR) ≥ 0.9 in men and ≥ 0.85 in women. Logistic models were adjusted for sociodemographic characteristics, relevant nutrition- and health-related behaviors, and diet quality during the rest of the day.

RESULTS

Of the 2019 included survey participants, 1351 (67%) were regular breakfast eaters. Among them, we identified three breakfast types: 1) 'traditional' - white bread, butter, sweet spread, 2) 'prudent' - fruit, unprocessed and unsweetened cereal flakes, nuts/seeds, yogurt, and 3) 'western' - processed breakfast cereals, and milk. The 'prudent' breakfast was negatively associated with abdominal obesity. After full adjustment, including diet quality during the rest of the day, the association was weaker (T3 vs. T1: OR 0.72, 95% CI: 0.47 to 1.08). People taking a 'prudent' breakfast (in T3) had 1.2% lower WHR compared to people taking a breakfast distant from 'prudent' (in T1) (P = 0.02, fully adjusted model with continuous log-WHR). We found no association between 'traditional' or 'western' breakfasts and WHR (OR 1.00, 95% CI: 0.67 to 1.50 and OR 1.16, 95% CI: 0.79 to 1.71, respectively). Findings were in the same directions for the three breakfast types when defining obesity with waist circumference, waist-to-height ratio, or body mass index (≥ 30 kg/m2, for 'prudent' breakfast: OR 0.51, 95% CI: 0.31 to 0.85).

CONCLUSIONS

Regular breakfast consumers had less abdominal obesity if their breakfast was composed of fruit, natural cereal flakes, nuts/seeds and yogurt. This association was partly explained by their healthier diet during the rest of the day.

TRIAL REGISTRATION

ISRCTN16778734 .

Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population

Gaussian graphical models (GGMs) are exploratory methods that can be applied to construct networks of food intake. Such networks were constructed for meal-structured data, elucidating how foods are consumed in relation to each other at meal level. Meal-specific networks were compared with habitual dietary networks using data from an EPIC-Potsdam sub-cohort study. Three 24-hour dietary recalls were collected cross-sectionally from 815 adults in 2010-2012. Food intake was averaged to obtain the habitual intake. GGMs were applied to four main meals and habitual intakes of 39 food groups to generate meal-specific and habitual dietary networks, respectively. Communities and centrality were detected in the dietary networks to facilitate interpretation. The breakfast network revealed five communities of food groups with other vegetables, sauces, bread, margarine, and sugar & confectionery as central food groups. The lunch and afternoon snacks networks showed higher variability in food consumption and six communities were detected in each of these meal networks. Among the central food groups detected in both of these meal networks were potatoes, red meat, other vegetables, and bread. Two dinner networks were identified with five communities and other vegetables as a central food group. Partial correlations at meals were stronger than on the habitual level. The meal-specific dietary networks were only partly reflected in the habitual dietary network with a decreasing percentage: 64.3% for dinner, 50.0% for breakfast, 36.2% for lunch, and 33.3% for afternoon snack. The method of GGM yielded dietary networks that describe combinations of foods at the respective meals. Analysing food consumption on the habitual level did not exactly reflect meal level intake. Therefore, interpretation of habitual networks should be done carefully. Meal networks can help understand dietary habits, however, GGMs warrant validation in other populations.

Association of Breakfast Quality and Energy Density with Cardiometabolic Risk Factors in Overweight/Obese Children: Role of Physical Activity

There is a general belief that having breakfast is an important healthy lifestyle factor; however, there is scarce evidence on the influence of breakfast quality and energy density on cardiometabolic risk in children, as well as on the role of physical activity in this association. The aims of this paper were (i) to examine the associations of breakfast quality and energy density from both solids and beverages with cardiometabolic risk factors, and (ii) to explore whether physical activity levels may attenuate these relationships in children with overweight/obesity from two projects carried out in the north and south of Spain. Breakfast consumption, breakfast quality index (BQI) score, BEDs/BEDb (24 h-recalls and the KIDMED questionnaire), and physical activity (PA; accelerometry) were assessed, in 203 children aged 8–12 years who were overweight or obese. We measured body composition (Dual X-ray Absorptiometry), uric acid, blood pressure, lipid profile, gamma-glutamyl-transferase (GGT), glucose, and insulin, and calculated the HOMA and metabolic syndrome z-score. The BQI score was inversely associated with serum uric acid independently of a set of relevant confounders (β = −0.172, p = 0.028), but the relationship was attenuated after further controlling for total PA (p < 0.07). BEDs was positively associated with total and HDL cholesterol, and systolic blood pressure regardless of confounders (all p < 0.05), while BEDb was positively associated with HOMA in either active/inactive children (all p < 0.03). In conclusion, higher breakfast quality and lower breakfast energy density should be promoted in overweight/obesity children to improve their cardiometabolic health.

Breakfast Consumption in the UK: Patterns, Nutrient Intake and Diet Quality. A Study from the International Breakfast Research Initiative Group

Breakfast consumption is associated with higher overall dietary adequacy; however, there is a lack of quantitative guidelines for optimal nutrient intakes at breakfast in the UK. This study aimed to investigate nutrient and food group intakes at breakfast and examine their relationship to overall Diet Quality (DQ). Data from the most recent National Diet and Nutrition Survey (NDNS, 2008⁻2014) were accessed to provide a representative sample (n = 8174) of the UK population, aged 5⁻96 years, mean age of 33 years. Food intake was measured by a 4-day estimated food diary and DQ was assessed by the Nutrient Rich Food Index 9.3 method. Energy- and socio-economic-adjusted nutrient and food group intakes were compared across age groups and DQ tertiles by ANCOVA. Breakfast contributed 20⁻22% to total energy intake. Breakfast intakes of carbohydrate and non-milk extrinsic sugars (NMES) were higher, and intakes of protein, total fat and saturated fatty acid (SFA) were lower, than relative daily intakes. Breakfast was particularly rich in B vitamins, vitamin D, calcium, iron, iodine and magnesium. From the lowest to the highest DQ tertile decreasing intakes of NMES, SFA and total fat and increasing intakes of carbohydrate, protein, fibre and most micronutrients were found. These findings could help to inform the development of nutrient-based recommendations for a balanced breakfast for the first time in the UK.

Breakfast in Human Nutrition: The International Breakfast Research Initiative

Breakfast is often referred to as the most important meal of the day and in recent years has been implicated in weight control, cardio-metabolic risk factors and cognitive performance although, at present, the literature remains inconclusive as to the precise health benefits of breakfast. There are extensive reports of breakfast’s contributions to daily food and nutrient intakes, as well as many studies that have compared daily food and nutrient intakes by breakfast consumers and skippers. However, significant variation exists in the definitions of breakfast and breakfast skippers, and in methods used to relate breakfast nutrient intakes to overall diet quality. The present review describes a novel and harmonised approach to the study of the nutritional impact of breakfast through The International Breakfast research Initiative involving national dietary survey data from Canada, Denmark, France, Spain, the UK and the USA. It is anticipated that the analysis of such data along harmonised lines, will allow the project to achieve its primary goal of exploring approaches to defining optimal breakfast food and nutrient intakes. Such data will be of value to public health nutrition policy-makers and food manufacturers and will also allow consistent messaging to help consumers to optimize food choices at breakfast.

Contribution to the understanding of how principal component analysis-derived dietary patterns emerge from habitual data on food consumption

Background

Principal component analysis (PCA) is a widely used exploratory method in epidemiology to derive dietary patterns from habitual diet. Such dietary patterns seem to originate from intakes on multiple days and eating occasions. Therefore, analyzing food intake of study populations with different levels of food consumption can provide additional insights as to how habitual dietary patterns are formed.

Objective

We analyzed the food intake data of German adults in terms of the relations among food groups from three 24-h dietary recalls (24hDRs) on the habitual, single-day, and main-meal levels, and investigated the contribution of each level to the formation of PCA-derived habitual dietary patterns.

Design

Three 24hDRs were collected in 2010-2012 from 816 adults for an European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam subcohort study. We identified PCA-derived habitual dietary patterns and compared cross-sectional food consumption data in terms of correlation (Spearman), consistency (intraclass correlation coefficient), and frequency of consumption across all days and main meals. Contribution to the formation of the dietary patterns was obtained through Spearman correlation of the dietary pattern scores.

Results

Among the meals, breakfast appeared to be the most consistent eating occasion within individuals. Dinner showed the strongest correlations with "Prudent" (Spearman correlation = 0.60), "Western" (Spearman correlation = 0.59), and "Traditional" (Spearman correlation = 0.60) dietary patterns identified on the habitual level, and lunch showed the strongest correlations with the "Cereals and legumes" (Spearman correlation = 0.60) habitual dietary pattern.

Conclusions

Higher meal consistency was related to lower contributions to the formation of PCA-derived habitual dietary patterns. Absolute amounts of food consumption did not strongly conform to the habitual dietary patterns by meals, suggesting that these patterns are formed by complex combinations of variable food consumption across meals. Dinner showed the highest contribution to the formation of habitual dietary patterns. This study provided information about how PCA-derived dietary patterns are formed and how they could be influenced.