Breakfast frequency and development of metabolic risk

Breakfast on the go: Evaluating the nutritional content of supermarket products

OBJECTIVES

Breakfast consumption on the go is becoming an established food habit; this has been accompanied by a growing number of related products. Given the limited research on these products and the growing trend in breakfast consumption away from home and on the go, the aim of this cross-sectional study was to survey and scrutinize the nutritional composition of breakfast on-the-go products available in the UK.

METHODS

Field visits to supermarkets of the top seven grocery retailers (accounting for 88% of the UK market) were conducted in a large city in the UK. Breakfast on-the-go products (n = 128) were identified, and data (including price, energy, and nutrients) were collected. Products were categorized according to food format (i.e., breakfast biscuits, breakfast drinks, high-protein breakfast drinks, and porridge pots). Products were profiled according to front-of-pack nutrition labeling (i.e., low, medium, high) for fat, saturated fat, total sugars, and salt content. Nutrient content and profiles were examined across categories.

RESULTS

Significant associations were revealed between product type and nutrient profiles for total fat, saturated fat, and salt. Total sugar content varied from 11.8 g per portion observed in biscuits to high-protein breakfast drinks, which contained almost double this level (20.0 g). Notably, six of ten breakfast on-the-go items (60.2%) were profiled as high for total sugars (according to front-of-pack criteria). Most items were medium in total fat (87.5%), low in saturated fat (61.7%), and low in salt (56.3%).

CONCLUSIONS

Reformulation of breakfast on-the-go products, principally with respect to sugar content, is warranted. This is particularly relevant given the growing role of breakfast consumption on the go and ongoing developments in the sector as new product ranges and formats are introduced.

Frequency of Breakfast, Lunch, and Dinner and Incidence of Proteinuria: A Retrospective Cohort Study

Although multiple studies have revealed a close association of skipping breakfast with cardiometabolic diseases, few studies have reported its association with chronic kidney disease (CKD). Furthermore, there is scant reporting on the clinical impacts that skipping lunch and dinner has on cardiometabolic diseases and CKD. This retrospective cohort study, including 5439 female and 4674 male workers of a national university in Japan who underwent annual health checkups between January 2005 and March 2013, aimed to assess an association of frequencies of breakfast, lunch, and dinner with incidence of proteinuria (dipstick urinary protein ≥1+). The incidence of proteinuria was observed in 763 (14.0%) females and 617 (13.2%) males during the median 4.3 and 5.9 years of the observational period, respectively. In females, skipping breakfast as well as skipping dinner, but not lunch, were associated with the incidence of proteinuria (adjusted hazard ratios of breakfast frequency of "every day", "sometimes", and "rarely": 1.00 (reference), 1.35 (1.09-1.66), and 1.54 (1.22-1.94), respectively; those of dinner frequency of "every day" and "≤sometimes": 1.00 (reference) and 1.31 (1.00-1.72), respectively). However, no association was observed in male workers. Skipping breakfast and skipping dinner were identified as risk factors of proteinuria in females, but not in males.

Dietary Habits and their Association with Metabolic Syndrome in a sample of Iranian adults: A population-based study

BACKGROUND

Central obesity, insulin resistance, dyslipidemia, and hypertension are the core components of metabolic syndrome (MetS) which is coincident with unhealthy dietary habits in the Middle-Eastern countries. The aim of this study was to explore the association between dietary habits and MetS of the adult population living in Yazd Greater Area, Iran.

METHODS

This is a cross-sectional study that uses the data of a population-based cohort study on Iranian adults, known as Yazd Health Study (YaHS). The relationship between dietary habits and metabolic syndrome among adults (n = 2,896) was analyzed using multiple logistic regression method.

RESULTS

The prevalence of MetS among the participants was 32.2%. Outcomes from logistic regression examination show that breakfast consumption has a significant inverse effect on the occurrence of MetS after adjustment for age, education level, physical activity statue, history of chronic diseases, and smoking (odds ratio (OR) = 0.38, 95% confidence interval (CI) = 0.14, 0.97). This effect remains significant even after adjustment for body mass index (BMI) and reveals that odds of having MetS is 69% lower in breakfast consumers in contrast to nonconsumers (OR = 0.31, 95% CI = 0.11, 0.87). However, no significant relationship was observed between other dietary habits including consumption of sweetened drinks, sugar cubes, and fast foods and MetS after adjustment for all potential confounders.

CONCLUSIONS

This study revealed that eating breakfast has an inverse relationship with metabolic syndrome. To find out stronger evidence in relation to dietary habits and MetS, more researches especially population-based cohort studies are needed to be conducted.

Breakfast Consumption Habit and Its Nutritional Contribution in Latin America: Results from the ELANS Study

The aim of this study was to provide updated data on breakfast consumption, associated factors and its contribution to daily intakes among Latin American populations. A total of 9218 subjects, 15 to 65 years old, were evaluated in the ELANS study, a multicenter cross-sectional study conducted in eight Latin American countries (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru and Venezuela). Dietary data were obtained by two 24 h dietary recalls. Overall, 78.6% of the population were regular breakfast consumer, 15.9% occasional and 5.5% skippers. Adolescents were found to be the most frequent occasional consumers (19.2%) and skippers (6.8%). Among breakfast consumers (n = 8714), breakfast contributed to 444 ± 257 kcal, i.e., 23% of the total daily EI (16-27%). Breakfast consumers were more likely to be older adults than adolescents (OR = 1.49, 95% CI:1.06-2.10) and physically active than insufficiently active (OR = 1.29, 95% CI:1.07-1.55), and were less likely to be underweight than normal weight (OR = 0.63, 95% CI:0.41-0.98). In most countries, breakfast was rich in carbohydrates, added sugars, saturated fat and calcium relative to the entire day, and the energy contribution of protein and fats was lower at breakfast than for the entire day. These findings will contribute to the development of data-driven nutrient recommendations for breakfast in Latin America.

The relationship between lifestyle components and dietary patterns

We conducted a narrative review on the interaction between dietary patterns with demographic and lifestyle variables in relation to health status assessment. The food pattern has the advantage of taking into account the correlations that may exist between foods or groups of foods, but also between nutrients. It is an alternative and complementary approach in analysing the relationship between nutrition and the risk of chronic diseases. For the determination of dietary patterns one can use indices/scores that evaluate the conformity of the diet with the nutrition guidelines or the established patterns (a priori approach). The methods more commonly used are based on exploratory data (a posteriori): cluster analysis and factor analysis. Dietary patterns may vary according to sex, socio-economic status, ethnicity, culture and other factors, but more, they may vary depending on different associations between these factors. The dietary pattern exerts its effects on health in a synergistic way or even in conjunction with other lifestyle factors, and we can therefore refer to a 'pattern of lifestyle'.

Association between Frequency of Breakfast Consumption and Insulin Resistance Using Triglyceride-Glucose Index: A Cross-Sectional Study of the Korea National Health and Nutrition Examination Survey (2016-2018)

Diabetes mellitus is an important chronic disease causing economic and social burden. Insulin resistance is a determinant of diabetes, and regular eating patterns are an important factor in blood sugar control. This study investigated the association between breakfast frequency and the risk of increased insulin resistance in Koreans. Data for 12,856 participants without diabetes in the 2016–2018 Korea National Health and Nutrition Examination Survey were analyzed. Insulin resistance was assessed using the triglyceride-glucose (TyG) index, while the median TyG index value was used to define higher (≥8.5) vs. lower (<8.5) insulin resistance. Association between breakfast frequency and risk of increased insulin resistance was investigated using multiple logistic regression. Compared with those who had regular breakfast 5–7 times per week, the odds ratios (95% confidence intervals) of individuals who did not eat breakfast were the highest at 1.42 (95% CI = 1.24–1.64, p ≤ 0.0001). Those who had breakfast 1–4 times per week had an odds ratio of 1.17 (95% CI = 1.03–1.32, p = 0.0153). We found that a lower weekly breakfast consumption was associated with a higher risk of insulin resistance in Koreans. Promoting the benefits of breakfast can be an important message to improve the health of the population.

Healthy breakfast habits and changes in obesity-related cardiometabolic markers in children: a longitudinal analysis

BACKGROUND

Data on the association of breakfast habits and changes in cardiometabolic markers in children are limited.

METHODS

In total, 6964 children aged 6-13 years from Beijing, Shanghai, Chongqing, Jinan, Harbin, and Guangzhou were included in the final analysis. Daily consumption, consumption of ≥3 food groups, and at-home consumption were defined as healthy breakfast habits. Blood pressure, % fat mass, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglycerides, glucose, and 50-m × 8 shuttle run were measured at baseline (May 2009) and follow-up (May 2010). Clustered cardiometabolic risk score (CCRS) was computed by summing Z scores of five components: % fat mass, systolic blood pressure, glucose, TC to HDL-C ratio, and triglyceride.

RESULTS

Children who ate breakfast daily had a higher decrease in TC to HDL-C ratio and a higher increase in HDL-C compared with breakfast skippers (both P values < 0.05). There was an inverse association of the number of food groups consumed at breakfast with the change in CCRS (P trend = 0.005). At-home breakfast consumption was associated with a lower increase in BMI, LDL-C, TC to HDL-C ratio, fasting glucose, and 50-m × 8 shuttle run and a higher increase in HDL-C (all P values < 0.05). Children with two or three healthy breakfast habits had a lower increase in CCRS, LDL-C, TC to HDL-C ratio, glucose, and a higher increase in HDL-C compared with those with none or one (all P values < 0.05).

CONCLUSIONS

Healthy breakfast habits might help minimize the cardiometabolic risk factors in children.

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.

Nutritional Content, Labelling and Marketing of Breakfast Cereals on the Belgian Market and Their Reformulation in Anticipation of the Implementation of the Nutri-Score Front-Of-Pack Labelling System

Objective: Breakfast cereals are frequently consumed in Belgium, especially among children. We investigated the nutritional content, labelling and marketing of breakfast cereals and the changes in nutrient content and reformulation in anticipation of the implementation of the Nutri-Score front-of-pack label. Design: Pictures were taken of cereal packages. The WHO-Europe nutrient profiling tool was used to classify cereals into ‘permitted’/‘not-permitted’ to be marketed to children, while the nutritional quality was assessed using Nutri-Score. The proportion of cereals with nutrition and health claims and/or promotional characters on the front-of-pack was compared between permitted and not-permitted cereals and between different Nutriscore categories using Chi-squared tests. The average nutrient contents per 100g were compared between 2017 and 2018 using paired t-tests. Setting: Belgium. Participants: All breakfast cereals in the major supermarkets (n = 7) in 2017 and 2018. Results: Overall, 330 cereals were included. About 77.2% of cereals were not permitted to be marketed to children but, of those, 22.0% displayed promotional characters. More claims (68.9% of all claims) were found on ‘not-permitted’ compared with ‘permitted’ cereals, particularly nutrition claims. Most claims were displayed on cereals with the allocated Nutri-Score A (42.0%) and C (37.0%). A significant reformulation of cereals was found between 2017 and 2018, with reductions in total sugar (−5%) (p < 0.001) and sodium (−20%) (p = 0.002) and increases in fibre (+3%) (p = 0.012) and proteins (+2%) (p = 0.002). Conclusion: Breakfast cereals on the Belgian market are predominantly unhealthy and frequently carry claims and promotional characters. Minimal reformulation occurred over one year. Policy recommendations include restrictions on claims and marketing for not-permitted cereals.

Meal Patterns and Changes in Cardiometabolic Risk Factors in Children: A Longitudinal Analysis

We examined whether energy and macronutrient intake from different meals was associated with changes in cardiometabolic risk (CMR) factors in children. CMR score (CMRS) was computed by summing Z-scores of waist circumference, the average of systolic and diastolic blood pressure, fasting glucose, high-density lipoprotein cholesterol (multiplying by −1), and triglycerides. We included 5517 children aged 6–13 years from six major cities in China. Five meal patterns were identified according to energy intake: balanced, breakfast dominant, lunch dominant, dinner dominant, and snack dominant patterns. These patterns were not significantly associated with changes in CMR factors. Carbohydrate intake (% energy) at lunch was positively associated with the change in CMRS (beta coefficient (95% CI): (0.777 (0.509, 1.046) in quintile 5 versus quintile 1). A positive association between carbohydrate intake at dinner and change in CMRS was observed. High protein intake at both lunch and dinner was associated with a favorable change in CMRS. Moderate fat intake at lunch was associated with a lower increase in CMRS. Meal patterns driven by energy were not significantly associated with CMR factors; however, a low carbohydrate-high protein-moderate fat lunch and low carbohydrate-high protein dinner were associated with favorable changes in CMRS in children.

Association of Skipping Breakfast With Cardiovascular and All-Cause Mortality

BACKGROUND

Skipping breakfast is common among U.S. adults. Limited evidence suggests that skipping breakfast is associated with atherosclerosis and cardiovascular disease.

OBJECTIVES

The authors sought to examine the association of skipping breakfast with cardiovascular and all-cause mortality.

METHODS

This is a prospective cohort study of a nationally representative sample of 6,550 adults 40 to 75 years of age who participated in the National Health and Nutrition Examination Survey III 1988 to 1994. Frequency of breakfast eating was reported during an in-house interview. Death and underlying causes of death were ascertained by linkage to death records through December 31, 2011. The associations between breakfast consumption frequency and cardiovascular and all-cause mortality were investigated by using weighted Cox proportional hazards regression models.

RESULTS

Among the 6,550 participants (mean age 53.2 years; 48.0% male) in this study, 5.1% never consumed breakfast, 10.9% rarely consumed breakfast, 25.0% consumed breakfast some days, and 59.0% consumed breakfast every day. During 112,148 person-years of follow-up, 2,318 deaths occurred including 619 deaths from cardiovascular disease. After adjustment for age, sex, race/ethnicity, socioeconomic status, dietary and lifestyle factors, body mass index, and cardiovascular risk factors, participants who never consumed breakfast compared with those consuming breakfast everyday had hazard ratios of 1.87 (95% confidence interval: 1.14 to 3.04) for cardiovascular mortality and 1.19 (95% confidence interval: 0.99 to 1.42) for all-cause mortality.

CONCLUSIONS

In a nationally representative cohort with 17 to 23 years of follow-up, skipping breakfast was associated with a significantly increased risk of mortality from cardiovascular disease. Our study supports the benefits of eating breakfast in promoting cardiovascular health.

Association between non-obesity and health state among young Japanese male university students

[Purpose] The obesity rate in both males and females has been lower in Japan than in other countries. However, the prevalence of metabolic syndrome-related risk factors is not low when compared with that in Western countries. In this study, we aimed to evaluate the health state of young, non-obese adults in Japan. [Participants and Methods] We recruited 20 young, non-obese Japanese male university students and examined the maximum oxygen consumption, physical activity, and components of metabolic syndrome. We evaluated the physical activity level and dietary habits of the participants through a questionnaire survey. [Results] The questionnaire survey revealed that 70% participants had non-standard dietary habits, 55% did not engage in any regular exercise, and 25% were inactive. On examination, 20% participants had at least one positive risk factor for metabolic syndrome. The homeostatic model assessment of insulin resistance and triglyceride values did not correlate with the body mass index of the participants; however, the values were inversely related to the maximum oxygen consumption levels. [Conclusion] Even participants with normal body mass index had poor dietary habits and a lack of exercise. Our results confirmed that even non-obese Japanese individuals have certain health risks and that having higher maximum oxygen consumption has beneficial effects in preventing the risk factors of severe and life-threatening diseases.

Association between skipping breakfast and risk of cardiovascular disease and all cause mortality: A meta-analysis

BACKGROUND & AIMS

Previous studies on the association between skipping breakfast and risk of cardiovascular disease and all cause mortality have drawn controversial conclusions. Therefore, we carried out a meta-analysis to illuminate this association.

METHODS

Studies about the association between skipping breakfast and risk of cardiovascular disease and all cause mortality were identified by searching Pubmed, Embase, Cochrane, and Web of Science databases until June 2019. Then we screened articles for eligibility, extracted data, and pooled the results using a random-effects model.

RESULTS

Seven cohort studies concerning a total of 221,732 participants were included in this meta-analysis. Skipping breakfast was associated with elevated risk of cardiovascular disease (relative risk 1.22 95% confidence interval 1.10-1.35) and all cause mortality (relative risk 1.25 95% confidence interval 1.11-1.40) compared with eating breakfast regularly.

CONCLUSION

Skipping breakfast increases the risk of cardiovascular disease and all cause mortality. Eating breakfast regularly may promote cardiovascular health and decrease all cause mortality.

Association between Timing of Energy Intake and Insulin Sensitivity: A Cross-Sectional Study

In addition to the caloric and macronutrient composition of meals, timing of energy consumption may be important for optimal glucose metabolism. Our goal was to examine whether the habitual timing of energy intake was associated with insulin sensitivity in healthy volunteers. Volunteers without diabetes aged 21–50 years completed a 3-day food diary and underwent an oral glucose tolerance test to estimate insulin sensitivity (n = 44). From the food diary, we calculated the proportions of the total energy and macronutrients consumed in the morning and evening, and the clock time at which 25%, 50% and 75% of total energy was consumed. A greater proportion of energy intake in the morning was significantly associated with higher insulin sensitivity estimated by Matsuda Index (B = 2.8 per 10%; 95%CI: 0.3, 5.2). The time at which 25% of energy was consumed was associated with insulin sensitivity estimated by Matsuda Index (B = −1.6 per hour; 95%CI: −3.0, −0.3) and QUICKI (B = −1.4 per hour, 95%CI: −2.8, −0.1). The timing of carbohydrate consumption demonstrated similar associations. Greater energy intake earlier in the day was associated with higher insulin sensitivity in individuals without diabetes.

Meal Frequency and Skipping Breakfast Are Associated with Chronic Kidney Disease

Chronic underhydration and malnutrition can be associated with irreversible renal damage. This study investigated the association of meal frequency and breakfast skipping with chronic kidney disease (CKD) in South Korea. Participants (4370 participants from the Korean National Health and Nutrition Examination Survey VI 2013-2014) were divided into two groups based on meal frequency: ≥ 15 or < 15 meals/week. They were further divided into four groups based on the frequency of breakfast, lunch, and dinner consumed in the previous year. The data were analyzed with complex samples logistic regression. We found that 9.6% of the participants (n = 412) had CKD, which was associated with gender, body mass index, serum fasting glucose, daily calorie intake, hypertension, diabetes, and cerebrovascular accident. Participants consuming <15 meals/week had a higher risk of CKD than those who consumed ≥15 meals/week (adjusted odds ratio [OR] 1.531, 95% confidence interval [CI] 1.209-1.938). Participants who rarely had breakfast showed a higher risk of CKD than those who had breakfast 5-7 times/week (adjusted OR 1.572, 95% CI 1.108-2.231). Our findings suggest that <15 meals/week or skipping breakfast is associated with a higher risk of CKD in the general South Korean population, especially for men or persons aged 42-64 years.

Lumos for the long trail: Strategies for clinical diagnosis and severity staging for diabetic polyneuropathy and future directions

Diabetic polyneuropathy, which is a chronic symmetrical length-dependent sensorimotor polyneuropathy, is the most common form of diabetic neuropathy. Although diabetic polyneuropathy is the most important risk factor in cases of diabetic foot, given its poor prognosis, the criteria for diagnosis and staging of diabetic polyneuropathy has not been established; consequently, no disease-modifying treatment is available. Most criteria and scoring systems that were previously proposed consist of clinical signs, symptoms and quantitative examinations, including sensory function tests and nerve conduction study. However, in diabetic polyneuropathy, clinical symptoms, including numbness, pain and allodynia, show no significant correlation with the development of pathophysiological changes in the peripheral nervous system. Therefore, these proposed criteria and scoring systems have failed to become a universal clinical end-point for large-scale clinical trials evaluating the prognosis in diabetes patients. We should use quantitative examinations of which validity has been proven. Nerve conduction study, for example, has been proven effective to evaluate dysfunctions of large nerve fibers. Baba's classification, which uses a nerve conduction study, is one of the most promising diagnostic methods. Loss of small nerve fibers can be determined using corneal confocal microscopy and intra-epidermal nerve fiber density. However, no staging criteria have been proposed using these quantitative evaluations for small fiber neuropathy. To establish a novel diagnostic and staging criteria of diabetic polyneuropathy, we propose three principles to be considered: (i) include only generalizable objective quantitative tests; (ii) exclude clinical symptoms and signs; and (iii) do not restrictively exclude other causes of polyneuropathy.

Higher eating frequency, but not skipping breakfast, is associated with higher odds of abdominal obesity in adults living in Puerto Rico

Puerto Ricans have a high prevalence of obesity, yet little information is available regarding its association with eating patterns in this population. We hypothesized that higher eating frequency and skipping breakfast would be associated with increased odds of abdominal obesity among adults living in Puerto Rico (PR). In a cross-sectional study of adults living in PR aged 30-75 years (N = 310), participants reported their frequency of eating meals per day including snacks and breakfast. Trained interviewers measured waist (WC) and hip circumferences. We calculated the waist-to-hip ratio (WHR) dividing the waist by the hip measurement. Abdominal obesity was defined as either high WC (men ≥94 cm; women ≥80 cm) or high WHR (men ≥0.90; women ≥0.85). We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) to assess the association of eating frequency (≤1.5; 1.5-3; ≥3 times/day) and breakfast consumption (vs none) with abdominal obesity. Models were adjusted for age, sex, income, smoking, physical activity, TV watching, energy intake, diet quality, and eating frequency (only for breakfast consumption). Most participants consumed breakfast (70%), ate 1.5-3 times/d (47%), and had high WC (75%) and WHR (77%). Participants who ate 1.5-3 (OR: 2.75, 95% CI: 1.23-6.15) and ≥3 times/day (OR: 2.88; 95% CI: 1.14-7.31) were more likely to have high WC compared with participants who ate ≤1.5 times/d (P trend = .04). Breakfast consumption was not associated with abdominal obesity. In conclusion, higher eating frequency, but not skipping breakfast, is associated with abdominal obesity among adults in PR. Consuming less frequent meals may help prevent abdominal obesity in this population.

Associations of Meal Timing and Frequency with Obesity and Metabolic Syndrome among Korean Adults

Emerging studies indicate that meal timing is linked to cardiometabolic risks by deterioration of circadian rhythms, however limited evidence is available in humans. This large-scale cross-sectional study explored the associations of meal timing and frequency with obesity and metabolic syndrome among Korean adults. Meal timing was defined as nightly fasting duration and morning, evening, and night eating, and meal frequency was estimated as the number of daily eating episodes using a single-day 24-hour dietary recall method. Meal frequency was inversely associated with prevalence of abdominal obesity, elevated blood pressure, and elevated triglycerides in men only. Independent of the nightly fasting duration and eating episodes, morning eating was associated with a lower prevalence of metabolic syndrome (odds ratio (OR), 0.73; 95% confidence interval (CI), 0.57–0.93 for men and OR, 0.69; 95% CI, 0.54–0.89 for women) than no morning eating, whereas night eating was associated with a 48% higher prevalence of metabolic syndrome (OR, 1.48; 95% CI, 1.15–1.90) than no night eating in men only. Longer fasting duration and less sleep were associated with obesity and metabolic syndrome. These findings suggest that overall eating patterns, including energy distribution across the day, eating frequency, and sleep duration, rather than fasting duration alone, are related to cardiometabolic risks in free-living Korean adults.

Skipping Breakfast and the Risk of Cardiovascular Disease and Death: A Systematic Review of Prospective Cohort Studies in Primary Prevention Settings

Several studies have associated skipping (not having) breakfast with cardiometabolic risk factors such as obesity, high blood pressure, unfavorable lipid profiles, diabetes, and metabolic syndrome. We examined the available evidence regarding the effect of skipping breakfast on cardiovascular morbidity and mortality, as well as all-cause mortality. Medline, Embase, and Web of Science were searched from inception until May 2019 to identify prospective cohort studies that examined the association between skipping breakfast and the risk of cardiovascular morbidity and mortality and all-cause death. Electronic searches were supplemented by manual screening of the references of retrieved studies. Out of 456 citations identified, four studies (from Japan and the US) were included. The included studies involved a total of 199,634 adults (aged ≥40 years; 48.5% female) without known cardiovascular disease (CVD) at baseline followed over a median duration of 17.4 years. The pooled data suggested that people who regularly skipped breakfast were about 21% more likely (hazard ratio (HR) 1.21, 95% confidence interval (CI) 1.08-1.35; I2 = 17.3%, p = 0.304) to experience incident CVD or die from it than people who regularly consumed breakfast. Also, the risk of all-cause death was 32% higher (HR 1.32, 95% CI 1.17-1.48; I2 = 7.6%, p = 0.339) in people who regularly skipped breakfast than in people who regularly consumed breakfast. However, the definition of skipping breakfast was heterogenous and adjustment for confounders varied significantly. Therefore, residual confounding could not be ruled out and caution is required in the interpretation of the findings. Hence, large prospective studies with a consistent definition of skipping breakfast, and conducted across different populations, are needed to provide more robust evidence of the health effects of skipping breakfast.

Diet and lifestyle-related factors associated with Apathyanimittaja Prameha (type 2 diabetes): A cross-sectional survey study

Background

Lifestyle disorders are the leading cause of death and disability worldwide. Type 2 diabetes is one such disease with high incidence in low- and middle-income countries such as India. Changed lifestyle, lack of exercise, increased consumption of fatty, fast-food items, improper dietary habits and sedentary life are the main contributory factors for this, which are showing upward trend in India.

Aims and Objectives

The aim of the study is to identify the lifestyle factors, physical activities and psychological factors associated with type 2 diabetes among the patient aged between 20-60 years.

Materials and Methods

A cross-sectional survey study was conducted on selected 150 patients of type 2 diabetes within 1 year of diagnosis. A survey questionnaire was used to collect the data for fulfilling the aims and objectives of the study.

Results and Observations

150 patients of type 2 diabetes were observed on various dietary factors, physical activities and life style factors.

Conclusion

On the basis of survey psychological factor association with type 2 diabetes and dietary factors, physical activities and psychological factors observed in survey study. The obtained data exposed that intake of heavy, high fatty food, physical inactivity, day sleep and psychological distress as the main lifestyle factors associated with type 2 diabetes.

Breakfast Nutritional Quality and Cognitive Interference in University Students from Mexico City

Skipping breakfast might have an impact on cognitive functions, such as interference, which is a basic capacity of executive functions that denotes the possibility of controlling an automated response. This study aimed to analyze the association between nutritional quality of breakfast and cognitive interference in a sample of university students. A cross-sectional study was conducted, a total of 422 students between 18 and 25 years participated. Cognitive interference was assessed with the Stroop Test. Breakfast was assessed with a questionnaire assigning a score for each serving of each food group that was consumed. Logistic regression models were performed. The performance in cognitive tasks was slower in those who had a poor breakfast (32.9 ± 6 vs 29.3 ± 6 s, p < 0.050). Poor cognitive interference was greater in students with poor breakfast (53% versus 23%, p = 0.001). A slower word reading was associated with skipping vegetables (OR: 2.78, 95% CI: 0.09-2.13), and cereals (OR: 1.70, 95% CI: 1.03-2.81). Wrong color identification was associated with skipping fruits (OR: 1.55, 95% CI: 1.43-1.99) and animal protein sources (OR: 1.63, 95% CI: 1.07-2.49). Skipping fat-rich cereals was a protector factor (OR: 0.55, 95% CI: 0.36-0.85). Difficulty in the ability to inhibit interference was associated with skipping vegetables (OR: 2.72, 95% CI: 1.25-4.80) and cereals (OR: 2.65, 95% CI: 1.28-4.68). The nutritional quality of breakfast was associated with the time spent answering the Stroop test, but not with cognitive interference.

Effect of skipping breakfast for 6 days on energy metabolism and diurnal rhythm of blood glucose in young healthy Japanese males

BACKGROUND

Skipping breakfast has become a common trend that may lead to obesity and type 2 diabetes. Previous studies, which imposed a single incidence of breakfast skipping, did not observe any decrease in 24-h energy expenditure. Furthermore, the effects of breakfast skipping on diurnal blood glucose profiles over 24 h are contradictory.

OBJECTIVE

The aim of this study was to clarify the influence of 6 consecutive days of breakfast skipping and sedentary behavior on energy metabolism and glycemic control.

METHODS

Ten young men participated in 2 trials (with or without breakfast) that lasted for 6 consecutive days, and the 2 trials were conducted 1 wk apart with a repeated-measures design. During the meal intervention, each subject's blood glucose was measured using the continuous glucose monitoring system. If breakfast was skipped, subjects ate large meals at lunch and dinner such that the 24-h energy intake was identical to that of the 3-meal condition. At 2200 on the fifth day, the subjects entered a room-sized respiratory chamber, where they remained for 33 h, and were instructed to carry out sedentary behavior.

RESULTS

The glucose levels were similar between the 2 meal conditions during the first 5 d of meal intervention, but the blood glucose at 2300 was higher in the breakfast-skipping condition than in the 3-meal condition. Breakfast skipping elevated postprandial glycemic response after lunch on the first day of meal intervention. On the sixth day, there were no significant differences in 24-h energy expenditure and substrate oxidation. When subjects remained in a metabolic chamber, the level of physical activity significantly decreased, glycemic stability slightly deteriorated, and mean blood glucose over 24 h was higher in the breakfast-skipping trial than in the 3-meal trial.

CONCLUSIONS

Sedentary lifestyle and repeated breakfast skipping caused abnormal glucose fluctuations, whereas 24-h energy metabolism remained unaffected. Clinical Trial Registry: This trial was registered at http://www.umin.ac.jp/english/ as UMIN000032346.

Fast eating is a strong risk factor for new-onset diabetes among the Japanese general population

Although many studies that have examined the relationship of type and amount of food and the frequency of eating with new onset of diabetes, there are few reports on the relationship between how meals are eaten, such as skipping breakfast, snacking or food ingestion speed, and the onset of diabetes. We investigated the relationship between eating speed, as well as other eating habits such as snacking and skip breakfast, and new onset of diabetes in a nation-wide Japanese cohort. We obtained data from the nation-wide annual health check program in Japan. In 197,825 participants without diabetes in 2008, questionnaires recorded data on the diet habits (eating speed, snack after supper or before sleep, and skipping breakfast) and unadjusted and multivariable-adjusted logistic regression models were used to measure the odds ratio of new-onset diabetes mellitus in a 3-year follow up. The proportion of fast eaters, those who snack after supper, snack before sleep, and skip breakfast was higher in the new-onset diabetes group than in the group who did not develop diabetes mellitus. As compared with the non-fast eater group, fast eaters were generally younger, had higher BMI, had more weight gain from 20 years onwards, and experienced frequent weight fluctuations of ≥3 kg within 1 year. The risk of fast eaters developing diabetes mellitus remained even after correction for multiple factors including age, body weight, rate of weight change, blood pressure, smoking, and alcohol consumption. No other eating habits were independent predictors for onset of diabetes mellitus. Results show that fast eating is a sole predisposing factor among eating habits for new-onset diabetes. Future studies were warranted to evaluate whether avoidance of fast eating is beneficial for prevention of diabetes mellitus.

Quantity, Quality, and Timing of Carbohydrate Intake and Blood Pressure

PURPOSE OF REVIEW

This review discusses recent evidence on the association of dietary carbohydrates (quantity, quality, and timing of intake) with hypertension (HTN) risk and out-of-clinic blood pressure (BP) measures.

RECENT FINDINGS

Studies on carbohydrate quantity are inconclusive, but low carbohydrate diets may be associated with lower BP. Plant-based carbohydrate-containing foods such as fruits, vegetables, and whole grains may lower HTN risk and 24-h BP. Excessive sugar intakes from sugar-sweetened beverages are associated with higher BP levels and HTN risk, with evidence of a dose-response relationship. Preliminary data suggest that timing of carbohydrate intake may influence HTN risk and 24-h BP. The role of carbohydrate nutrition in HTN's etiology warrants further investigation. Additional studies are needed to investigate the influence of dietary carbohydrates on HTN risk and the circadian pattern of BP, evaluate potential sex and racial/ethnic differences in these associations, and elucidate underlying mechanisms.

Association between Breakfast Frequency and Atherosclerotic Cardiovascular Disease Risk: A Cross-Sectional Study of KNHANES Data, 2014-2016

The burden of cardiovascular disease (CVD) is increasing worldwide and one related lifestyle choice is breakfast consumption. This study examined the association between breakfast frequency and the 10-year risk of atherosclerotic CVD (ASCVD). The 10-year risk of ASCVD was defined as the risk of the first event of nonfatal myocardial infarction, coronary heart disease death, and nonfatal or fatal stroke within 10 years. Data from the Korean National Health and Nutrition Examination Survey, 2014–2016 were analyzed, and 7212 participants aged 40–79 years with no history of CVD were included. ASCVD risk was calculated according to the pooled cohort ASCVD equation, and participants with a score >7.5% were considered at high risk of ASCVD. The association between breakfast frequency and high ASCVD risk was confirmed by logistic regression analysis. Participants who never ate breakfast were more likely to be in the high-risk group compared to participants who ate breakfast >5 times per week (OR (adjusted odds ratio) = 1.46; 95% CI (confidence interval) = 1.12–1.89), and the risk was especially higher in female participants and those with a family history of CVD. Our study confirms that breakfast consumption even once per week may prevent CVD.

Factors Influencing Quality of Life in Stroke Patients: Focus on Eating Habits

BACKGROUND

Adherence to healthy lifestyle factors has been shown to improve outcomes after stroke. This study aimed to identify lifestyle factors about eating habits that may affect the quality of life (QOL) in elderly stroke patients.

METHODS

Fifty elderly patients with a first-ever stroke were enrolled. QOL was assessed by the Stroke and Aphasia QOL Scale-39-J. Lifestyle factors about eating habits were collected using questionnaires (Questions 1-17) for the intake of salt, calcium, magnesium, potassium, taurine, fiber, and protein, and the frequency of breakfast.

RESULTS

QOL of physical, communication, and psychosocial subdomains was better in the low (healthy) tertile of poststroke eating habits (Questions 1-17) compared with the high tertile of post-troke eating habits (Questions 1-17). This relationship appeared in eating habits except for salt intake but not in eating habits of salt intake and directly measured salt intake. Compared with prestroke eating habits score, poststroke eating habits score was decreased (improved) in 36 patients concerning eating habits of salt intake, but only in 12 patients concerning eating habits except for salt intake (P < .05 by chi-square test). Poststroke eating habits of calcium and magnesium were associated with better psychosocial QOL and better physical or energy QOL, respectively.

CONCLUSIONS

Poststroke eating habits of calcium and magnesium were associated with QOL in elderly patients with a first-ever stroke. Since eating habits except for salt intake was poorly improved after stroke, intensive interventions regarding eating habits might be important.

Impacts of skipping breakfast and late dinner on the incidence of being overweight: a 3-year retrospective cohort study of men aged 20-49 years

BACKGROUND

Most studies on the dietary habits and overweight status of men aged 20-49 years have been cross-sectional, with longitudinal studies being scarce. One-quarter of Japanese men aged 20-49 years skip breakfast or have dinner within 2 h of bedtime (late dinner); therefore, the effects of these eating habits on men's increasing body weight need to be determined.

METHODS

We conducted a retrospective cohort study using health check-up data provided from several health insurance societies in Japan. Participants comprised 45 524 men employees aged 20-49 years who were followed up for 3 years. The primary outcome investigated was body mass index (BMI) ≥25 kg m^-2 . We conducted a multivariable logistic regression analysis and calculated the odds ratios for skipping breakfast and late dinner, as well as baseline age, body mass index, smoking status, eating speed, snack-eating status, alcohol drinking frequency, physical activity, sleep habits, and the interaction between skipping breakfast and late dinner.

RESULTS

Of the participants, 17 706 (38.8%) skipped breakfast and 25 987 (57.1%) had a late dinner. At the 3-year follow-up, 5093 (11.2%) had a BMI ≥25 kg m^-2 . The odds ratios of men skipping breakfast and having a late dinner were 1.18 (95% confidence interval = 1.04-1.33) and 0.92 (95% confidence interval = 0.84-1.01), respectively. The interaction between these factors was nonsignificant.

CONCLUSIONS

We suggest that skipping breakfast among men aged 20-49 years was one predictor of being overweight; however, having dinner within 2 h of bedtime was not a predictor.

The influence of a fruit smoothie or cereal and milk breakfast on subsequent dietary intake: a pilot study

Smoothies are popular breakfast foods. This study examined the effect of consuming Cereal & Milk (CM) or a nutritionally-comparable Fruit Smoothie (FS) for breakfast on daily energy intake (EI) in free-living adults and the extent to which individuals compensated for calories ingested in a High Energy Fruit Smoothie (HE). Ten participants (28.4 ± 2.2y; 23.3 ± 1.0 kg·m ^-2, Mean ± SEM) attended the laboratory on 3 consecutive days per week for 3 weeks. Each week, they received a CM, FS or HE breakfast, then recorded all food/beverages consumed across the remainder of the day. The CM and FS were energy-matched to participants' usual breakfast (1675 ± 283 kJ), while the HE contained an additional 100 kJ·kg^-1 of maltodextrin (3019 ± 335 kJ). Mean 3-day EI was similar on CM and FS (7894 ± 547 vs. 7570 ± 463 kJ, p > .05), but elevated on HE (8861 ± 726 kJ, p =  .012). Thus, individuals who substitute CM for a FS breakfast should be mindful that energy-dense beverages may result in increased daily EI.

The Association of Having a Late Dinner or Bedtime Snack and Skipping Breakfast with Overweight in Japanese Women

BACKGROUND

We aimed to assess the association of habitually eating in the late evening and skipping breakfast with the prevalence of overweight/obesity.

METHODS

A total of 19,687 Japanese women, aged 40-74 years, were asked about their height, weight, and habitual eating behaviors such as having a late dinner and a bedtime snack and skipping breakfast, using a self-administered questionnaire. We defined overweight/obesity as body mass index greater than or equal to 25 kg/m².

RESULTS

Among the participants, 11% regularly had a late dinner, 22% had bedtime snacks, and 8% skipped breakfast. After adjusting for age, exercise, smoking, sleep duration, and employment, the multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of skipping breakfast were 2.47 (2.18-2.81) for having a late dinner and 1.71 (1.53-1.91) for having a bedtime snack. These eating behaviors were associated with an increased risk of overweight/obesity: the multivariable-adjusted ORs (95% CIs) of obesity/overweight were 1.43 (1.27-1.62) for having a late dinner, 1.47 (1.34-1.62) for having a bedtime snack, and 1.23 (1.06-1.42) for skipping breakfast.

CONCLUSIONS

Japanese women who consumed late dinners or bedtime snacks were more likely to skip breakfast. Having a late dinner or bedtime snack was associated with a higher probability of overweight/obesity.

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.

Long working hours and skipping breakfast concomitant with late evening meals are associated with suboptimal glycemic control among young male Japanese patients with type 2 diabetes

AIMS/INTRODUCTION

To assess the associations of working conditions, eating habits and glycemic control among young Japanese workers with type 2 diabetes.

MATERIALS AND METHODS

This hospital- and clinic-based prospective study included 352 male and 126 female working patients with diabetes aged 20-40 years. Data were obtained from June to July 2012 and June to July 2013. Logistic regression analysis was used to estimate multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for suboptimal glycemic control (glycosylated hemoglobin level of ≥7%) obtained from June to July 2013.

RESULTS

Multivariable logistic regression analysis showed that disease duration of ≥10 years (OR 2.43, 95% CI 1.02-5.80), glycosylated hemoglobin level of ≥7% in 2012 (OR 8.50, 95% CI 4.90-14.80), skipping breakfast and late evening meals (OR 2.50, 95% CI 1.25-5.00) and working ≥60 h/week (OR 2.92, 95% CI 1.16-7.40) were predictive of suboptimal glycemic control in male workers, whereas a glycosylated hemoglobin level of ≥7% in 2012 (OR 17.96, 95% CI 5.93-54.4), oral hyperglycemic agent therapy (OR 12.49, 95% CI 2.75-56.86) and insulin therapy (OR 11.60, 95% CI 2.35-57.63) were predictive of suboptimal glycemic control in female workers.

CONCLUSIONS

Working ≥60 h/week and habitual skipping breakfast concomitant with late evening meals might affect the ability of young male workers with type 2 diabetes to achieve and maintain glycemic control.

Association of night eating habits with metabolic syndrome and its components: a longitudinal study

Background

Night time eating is a risk factor for metabolic syndrome and obesity. The aim of this study was to investigate whether dinner immediately before bed, snacks after dinner, or combinations of both were associated with metabolic syndrome and its components in a large Japanese cohort.

Methods

We enrolled 8153 adults aged 40–54 years who participated in specific medical checkups in an Okayama facility from 2009 to 2010 and from 2013 to 2014. Age-adjusted and multivariable-adjusted odds ratios of metabolic syndrome and its components in participants with both night eating habits for an average of 3.9 years were evaluated. The relative excess risk due to interaction (RERI) was utilized to determine the supra-additive interaction of both eating habits on metabolic syndrome and its components.

Results

The multivariable-adjusted odds ratio for obesity for those with both eating habits compared to those with neither habit was 2.11 (95% confidence interval [CI], 1.42–3.15) for men and 3.02 (95%CI, 1.72–5.29) for women. Both habits had a supra-additive interaction effect on obesity development in women (RERI, 1.67; RERI%, 85.0; p = 0.058), although this result was not significant. In women, there was an association between eating habits at night and metabolic syndrome, but in men it was unrelated. Both night eating habits were associated with dyslipidemia in men and women.

Conclusions

These findings suggest the need for intervention and awareness among individuals with night eating habits to mitigate further complications.

A Review of the Evidence Surrounding the Effects of Breakfast Consumption on Mechanisms of Weight Management

The recommendation to eat breakfast has received scrutiny due to insufficient causal evidence for improvements in weight management. Despite the limited number of randomized controlled trials examining the effects of breakfast consumption compared with skipping breakfast on weight loss, an increasing number of studies target the hormonal and behavioral mechanisms underlying weight management. This review provides a comprehensive examination of the intervention-based clinical trials that test whether breakfast consumption improves appetite control and satiety as well as energy expenditure compared with skipping breakfast. Several factors were considered when interpreting the body of evidence. These include, but were not limited to, the following: the composition of breakfast, with a specific focus on dietary protein; meal size and form; and habitual breakfast behaviors. The evidence within this review shows positive to neutral support for the inclusion of breakfast for improvements in appetite control, satiety, and postprandial energy expenditure. The protein content, energy content, and form of the meal (i.e., beverages compared with foods) are key modulating factors for ingestive behavior and energy expenditure mechanisms. Specifically, breakfast meals containing a larger amount of protein (≥30 g protein/meal) and energy (≥350 kcal/meal) and provided as solid foods increased the magnitude of the appetite and satiety response compared with breakfast skipping. Longer-term randomized controlled trials including the measurement of ingestive behavior and weight management are needed to identify the role of breakfast for health promotion.

Evaluating the Nutritional Content of Children's Breakfast Cereals in Australia

Breakfast is an important contributor to the daily dietary intake of children. This study investigated the nutritional composition of ready to eat (RTE) children’s breakfast cereals, which display fictional cartoon characters and themes, compared to other cereals available in Australia. Nutrient content claims on packaging were also examined. Data were collected from RTE breakfast cereal packages (N = 347) from four major supermarkets in Sydney. Cereals were classified based on product type and promotional information displayed. Overall, 46% of children’s cereals were classified as “less healthy” as per nutrient profiling score criteria. Children’s cereals had a similar energy and sodium content per 100 g compared to other cereals but contained significantly higher levels of total sugar and lower levels of protein and dietary fibre compared to other varieties. Children’s cereals with nutrient content claims had improved (lower) nutrient profiling scores than those that did not (2 vs. 13, p = 0.021), but total sugar per 100 g was similar: 25 g (interquartile range (IQR) 14 g) vs. 32 g (IQR 19 g). In conclusion, RTE children’s breakfast cereals were found to be less healthy compared to other cereals on the market and the use of nutrient content claims on children’s cereals may mislead consumers regarding their overall nutrient profile.

Eating patterns of Australian adults: associations with blood pressure and hypertension prevalence

PURPOSE

Eating patterns have been linked to obesity, an established risk factor for hypertension; however, their contribution to hypertension is poorly understood. This study aimed to examine associations of frequency of meals, snacks and all eating occasions (EO), and temporal eating patterns, with blood pressure (BP) and hypertension.

METHODS

Dietary data collected via two 24-h recalls during the 2011-2012 Australian National Nutrition and Physical Activity Survey (n = 4482 adults, ≥ 19 years) were analysed. Frequencies of EO, meals, and snacks were calculated. Temporal eating patterns were determined using latent class analysis. Multivariate regression models assessed associations of eating patterns with systolic BP (SBP), diastolic BP (DBP), and hypertension prevalence.

RESULTS

Among men, a higher snack frequency was inversely associated with DBP [β = - 0.59, 95% confidence interval (CI) (- 1.12, - 0.07)] and hypertension [odds ratio (OR) 0.86, 95% CI (0.75, 0.98)] after adjustment for covariates and BMI. However, these associations disappeared after additional adjustment for total energy intake and overall diet quality. Among women, a temporal eating pattern characterized by a later "lunch" meal was associated with SBP [β = 2.45, 95% CI (0.05, 4.84)], DBP [β = 1.69, 95% CI (0.25, 3.13)], and hypertension [OR = 1.49, 95% CI (1.00, 2.22)], when compared to a "conventional" eating pattern.

CONCLUSIONS

In this study, an inverse association found between snack frequency and BP among men disappeared after adjustment for dietary factors and a "later lunch" pattern was associated with higher BP in women. Future research is needed to understand the relationship and potential mechanistic pathways between eating patterns and BP.

A Clear Difference Emerges in Hormone Patterns Following a Standard Midday Meal in Young Women Who Regularly Eat or Skip Breakfast

BACKGROUND

Multiple hormones are involved in the regulation of food intake and glucose metabolism. Past intervention studies showed a benefit of eating breakfast on satiety, but this was possibly confounded by the disruption of habitual meal patterns.

OBJECTIVE

The objective of this study was to compare hormonal responses, including insulin, leptin, glucagon-like peptide-1, ghrelin, peptide YY (PYY3-36), and cholecystokinin (CCK), between habitual breakfast eaters (Br-Es) and habitual skippers (Br-Ss) to a standard midday meal.

METHODS

Thirty-two women [mean ± SD age: 22.6 ± 3.3 y; body mass index (in kg/m2): 21.8 ± 2.0] participated in a cross-sectional study that consisted of a 3-h test protocol that included a standard test meal served at 1230 with pre- and postmeal blood sampling. The protocol required that Br-Es eat a typical breakfast between 0700 and 1000, whereas Br-Ss had no breakfast meal and had fasted for 12 h. Blood was drawn 35 and 5 min prelunch and 5, 20, 35, 50, and 110 min postlunch.

RESULTS

Repeated-measures ANOVA revealed a group difference for PYY3-36 (P = 0.001), with the Br-E group exhibiting 50-90% higher concentrations throughout the test period. Leptin tended to be different (P = 0.08) between groups, with higher mean ± SD values for the Br-S group (27.6 ± 29.6 ng/mL) compared with the Br-E group (11.5 ± 9.8 ng/mL). Partial least squares regression analysis confirmed that these 2 hormones were important contributors to the patterns of the hormones, anthropometric, clinical, and behavioral variables that differed between groups; insulin and CCK were important as well.

CONCLUSION

We found differences between the Br-E and Br-S groups in circulating gut and adipose-derived hormones measured midday, indicating that the breakfast habit is associated with the hormonal milieu before and after a midday meal. The different patterns may be short-lived or may impact metabolism later in the day. This report is a secondary analysis of a trial registered at clinicaltrials.gov as NCT01427556.

Effects of changes in eating speed on obesity in patients with diabetes: a secondary analysis of longitudinal health check-up data

OBJECTIVE

Few studies have examined the causal relationships between lifestyle habits and obesity. With a focus on eating speed in patients with type 2 diabetes, this study aimed to analyse the effects of changes in lifestyle habits on changes in obesity using panel data.

METHODS

Patient-level panel data from 2008 to 2013 were generated using commercially available insurance claims data and health check-up data. The study subjects comprised Japanese men and women (n=59 717) enrolled in health insurance societies who had been diagnosed with type 2 diabetes during the study period. Body mass index (BMI) was measured, and obesity was defined as a BMI of 25 or more. Information on lifestyle habits were obtained from the subjects' responses to questions asked during health check-ups. The main exposure of interest was eating speed ('fast', 'normal' and 'slow'). Other lifestyle habits included eating dinner within 2 hours of sleeping, after-dinner snacking, skipping breakfast, alcohol consumption frequency, sleep adequacy and tobacco consumption. A generalised estimating equation model was used to examine the effects of these habits on obesity. In addition, fixed-effects models were used to assess these effects on BMI and waist circumference.

RESULTS

The generalised estimating equation model showed that eating slower inhibited the development of obesity. The ORs for slow (0.58) and normal-speed eaters (0.71) indicated that these groups were less likely to be obese than fast eaters (P<0.001). Similarly, the fixed-effects models showed that eating slower reduced BMI and waist circumference. Relative to fast eaters, the coefficients of the BMI model for slow and normal-speed eaters were -0.11 and -0.07, respectively (P<0.001).

DISCUSSION

Changes in eating speed can affect changes in obesity, BMI and waist circumference. Interventions aimed at reducing eating speed may be effective in preventing obesity and lowering the associated health risks.

The Relationship Among Morningness-Eveningness, Sleep Duration, Social Jetlag, and Body Mass Index in Asian Patients With Prediabetes

Background: Circadian system is known to influence energy metabolism. Recent evidence suggested that evening preference could be associated with higher body mass index (BMI). Moreover, evening preference is known to be associated with insufficient sleep duration and greater social jetlag, both described to be associated with obesity. This study aimed to explore whether morningness-eveningness was directly associated with BMI or its effect was transmitted through sleep duration or social jetlag in patients with prediabetes. Methods: A total 2,133 patients with prediabetes were enrolled. Morningness-eveningness was assessed using a Composite Scale of Morningness (CSM). Average weekly sleep duration and sleep timing were obtained, and social jetlag was calculated. BMI was calculated by weight (kg)/height² (m²). A mediation analysis was performed based on two pathways, i.e. CSM→sleep→duration→BMI and CSM→social jetlag→BMI. A sequential equation model was used to estimate the direct and indirect effects of CSM on BMI. Results: Mean (SD) age and BMI were 63.6 (9.2) years and 25.8 (4.0) kg/m². For CSM→sleep duration→BMI pathway, every one point decrease in CSM (more evening preference) was associated with a decrease in sleep duration by 0.054 h (95% CI 0.043-0.066), whereas sleep duration was negatively associated with BMI (coefficient = -0.156, 95%CI -0.288, -0.024). Mediation analysis indicated that a change in CSM (from 90th to 10th percentile, more evening preference) was associated with a decrease in sleep duration and an increase in BMI by 0.102 kg/m² (95% CI 0.015, 0.207). In addition, this change in CSM was directly associated with an increase in BMI by 0.511 kg/m² (95%CI 0.030, 0.952). The CSM→social jetlag→BMI pathway analysis revealed that social jetlag was not significantly associated with BMI. A subgroup analysis in those aged ≤60 years (n = 784) revealed that each hour increase in social jetlag was associated with an increase in BMI by 0.56 kg/m² (p = 0.026) while CSM and sleep duration were not. Conclusion: In patients with prediabetes, more evening preference was directly associated with higher BMI and indirectly through insufficient sleep duration, while social jetlag did not mediate the relationship between CSM and BMI. In those ≤60 years, only greater social jetlag was associated with higher BMI. These data could inform further interventional studies to reduce BMI in this high risk group.

Breakfast habits and differences regarding abdominal obesity in a cross-sectional study in Spanish adults: The ANIBES study

BACKGROUND

Previous studies have indicated that breakfast has a protective effect against obesity. The aim of this study was to describe the breakfast habits of the Spanish adult population and to assess the possible association between breakfast frequency and the presence of abdominal obesity, in a cross-sectional analysis of the ANIBES Study.

METHODS

A representative sample of 1655 Spanish adults (aged 39±12 y; (mean±sd)) from the ANIBES Study was investigated. The final field work was carried out from mid-September to November (three months) 2013. Collected data included a dietary data collected by a 3-days food record, and health, socioeconomic, physical activity and anthropometric (weight, height and waist circumference) data. Abdominal obesity was defined as having a waist-to-height ratio ≥0.5. The adults were also classified into three groups based on the number of days they ate breakfast (never (0/3 days), sometimes (1-2/3 days) and always (3/3 days)). Logistic regression analyses were used to evaluate the association between breakfast and abdominal obesity.

RESULTS

In total, 3.6% of adults skipped breakfast and 14.1% ate breakfast sometimes. Having always breakfast was negatively associated with abdominal obesity [OR = 0.738 (0.558-0.975) p = 0.033]. The odds of abdominal obesity after full adjustment (age, gender, and educational and activity level) were 1.5 times higher for those who skipped breakfast when compared to those who always have breakfast. By correcting the model considered for other variables, the odds among smokers decreased when they have breakfast sometimes [OR = 0.032 (0.003-0.387) p = 0.007] and always [OR = 0.023 (0.002-0.270) p = 0.003] comparing with smokers who skip breakfast.

CONCLUSION

Breakfast frequency could be negatively associated with abdominal obesity, especially among smokers.

Replacing American Breakfast Foods with Ready-To-Eat (RTE) Cereals Increases Consumption of Key Food Groups and Nutrients among US Children and Adults: Results of an NHANES Modeling Study

Replacing the typical American breakfast with ready-to-eat cereals (RTECs) may improve diet quality. Our goal was to assess the impact of RTECs on diet quality measures for different age groups, using substitution modeling. Dietary intakes came from the 2007-2010 National Health and Examination Surveys (NHANES; n = 18,112). All breakfast foods, excluding beverages, were replaced on a per calorie basis, with frequency-weighted and age/race specific RTECs. Model 1 replaced foods with RTECs alone; Model 2 replaced foods with RTECs and milk. Diet quality measures were based on desirable food groups and nutrients, Healthy Eating Index (HEI)-2010 scores, and estimated diet costs. Model 1 diets were significantly higher in whole grains (+84.6%), fiber (+14.3%), vitamin D (+14.0%), iron (+54.5%) and folic acid (+104.6%), as compared to observed diets. Model 2 diets were additionally higher in dairy (+15.8%), calcium (+11.3%) and potassium (+3.95%). In Model 1, added sugar increased (+5.0%), but solid fats declined (-10.9%). Energy from solid fats and added sugars declined (-3.2%) in both models. Model 2 offered higher diet quality (57.1 vs. 54.6, p-value < 0.01) at a lower cost ($6.70 vs. $6.92; p < 0.01), compared to observed diets. Substitution modeling of NHANES data can assess the nutritional and economic impact of dietary guidance.

Meal Frequency and Timing Are Associated with Changes in Body Mass Index in Adventist Health Study 2

Background: Scientific evidence for the optimal number, timing, and size of meals is lacking.Objective: We investigated the relation between meal frequency and timing and changes in body mass index (BMI) in the Adventist Health Study 2 (AHS-2), a relatively healthy North American cohort.Methods: The analysis used data from 50,660 adult members aged ≥30 y of Seventh-day Adventist churches in the United States and Canada (mean ± SD follow-up: 7.42 ± 1.23 y). The number of meals per day, length of overnight fast, consumption of breakfast, and timing of the largest meal were exposure variables. The primary outcome was change in BMI per year. Linear regression analyses (stratified on baseline BMI) were adjusted for important demographic and lifestyle factors.Results: Subjects who ate 1 or 2 meals/d had a reduction in BMI per year (in kg · m^-2 · y^-1) (-0.035; 95% CI: -0.065, -0.004 and -0.029; 95% CI: -0.041, -0.017, respectively) compared with those who ate 3 meals/d. On the other hand, eating >3 meals/d (snacking) was associated with a relative increase in BMI (P < 0.001). Correspondingly, the BMI of subjects who had a long overnight fast (≥18 h) decreased compared with those who had a medium overnight fast (12-17 h) (P < 0.001). Breakfast eaters (-0.029; 95% CI: -0.047, -0.012; P < 0.001) experienced a decreased BMI compared with breakfast skippers. Relative to subjects who ate their largest meal at dinner, those who consumed breakfast as the largest meal experienced a significant decrease in BMI (-0.038; 95% CI: -0.048, -0.028), and those who consumed a big lunch experienced a smaller but still significant decrease in BMI than did those who ate their largest meal at dinner.Conclusions: Our results suggest that in relatively healthy adults, eating less frequently, no snacking, consuming breakfast, and eating the largest meal in the morning may be effective methods for preventing long-term weight gain. Eating breakfast and lunch 5-6 h apart and making the overnight fast last 18-19 h may be a useful practical strategy.

The Association between Food Group Consumption Patterns and Early Metabolic Syndrome Risk in Non-Diabetic Healthy People

We investigated the association between dietary habits/food group consumption patterns and early risk of metabolic syndrome (MetS), a main cause for metabolic disease. Study participants were recruited from the health promotion center in Dong-A University Hospital and public advertisement. Study subjects (n = 243, 21-80 years) were categorized into three groups: Super-healthy (MetS risk factor [MetS RF] = 0, n = 111), MetS-risk carriers (MetS RF = 1-2, n = 96), and MetS (MetS RF ≥ 3, n = 27). Higher regularity in dietary habits (breakfast-everyday, regular eating time, non-frequent overeating, and non-frequent eating-out) was observed in the Super-healthy group than in the MetS-risk carriers, and particularly in the MetS subjects. The relationship between food group consumption patterns and MetS-risk related parameters were investigated with adjustment for confounding factors. Fruit consumption was positively associated with HDL-cholesterol, and tended to be negatively associated with waist circumference, triglyceride, LDL-cholesterol, and insulin resistance (IR). The consumption of low-fat meats and fish, and vegetables was negatively associated with hs-CRP. Specifically, the consumption of sea-foods belonging to the low-fat fish was negatively associated with fasting glucose, hs-CRP, and interleukin (IL)-6. Anchovy/dried white baits consumption was negatively associated with fasting insulin and IR. Green-yellow vegetables consumption was negatively associated with fasting insulin, IR, and hs-CRP. On the other hand, sugars and fast-foods were positively associated with LDL-cholesterol. Additionally, fast-foods consumption was positively associated with hs-CRP and IL-6 levels. In conclusion, dietary habits/food group consumption patterns are closely associated with MetS-risk related parameters in Koreans. It may suggest useful information to educate people to properly select healthy foods for early prevention of MetS.