Chrono-nutrition for hypertension.

Despite the advancement in blood pressure (BP) lowering medications, uncontrolled hypertension persists, underscoring a stagnation of effective clinical strategies. Novel and effective lifestyle therapies are needed to prevent and manage hypertension to mitigate future progression to cardiovascular and chronic kidney diseases. Chrono-nutrition, aligning the timing of eating with environmental cues and internal biological clocks, has emerged as a potential strategy to improve BP in high-risk populations. The aim of this review is to provide an overview of the circadian physiology of BP with an emphasis on renal and vascular circadian biology. The potential of Chrono-nutrition as a lifestyle intervention for hypertension is discussed and current evidence for the efficacy of time-restricted eating is presented.

The effect of time of eating on cardiometabolic risk in primary and secondary prevention of cardiovascular disease.

Continuous energy restriction is currently considered the first-line dietary therapy for weight loss in individuals with obesity. Recently, interventions which alter the eating window and time of eating occasions have been explored as means to achieve weight loss and other cardiometabolic improvements such as a reduction in blood pressure, glycaemia, lipids and inflammation. It is unknown, however, whether these changes result from unintentional energy restriction or from other mechanisms such as the alignment of nutrient intake with the internal circadian clock. Even less is known regarding the safety and efficacy of these interventions in individuals with established chronic noncommunicable disease states, such as cardiovascular disease. This review examines the effects of interventions which alter both eating window and time of eating occasions on weight and other cardiometabolic risk factors in both healthy participants and those with established cardiovascular disease. We then summarise the state of existing knowledge and explore future directions of study.

Time of eating and mortality in U.S. adults with heart failure: Analyses of the National Health and Nutrition Examination Survey 2003-2018.

BACKGROUND AND AIMS: Promising associations have been demonstrated between delayed last eating occasion and cardiorespiratory fitness in adults with heart failure (HF), however, it is unknown if time of eating is associated with clinical endpoints such as mortality. This study aimed to examine associations between time of eating variables and all-cause and cardiovascular mortality in the National Health and Nutrition Examination Survey (NHANES). METHODS AND RESULTS: Participants self-disclosed HF diagnosis. Two dietary recalls were obtained and categorical variables were created based on mean time of first eating occasion (8:31 AM), last eating occasion (7:33 PM) and eating window (11.02 h). Mortality was obtained through linkage to the National Death Index. Covariate-adjusted Cox proportional hazard regression models were created examining the association between time of eating and mortality. Participants (n = 991) were 68 (95 % CI 67-69) years of age, 52.6 (95 % CI 49.0-56.3)% men and had a body mass index of 32.5 (95 % CI 31.8-33.2) kg/m2 with follow up time of 68.9 (95 % CI 64.8-72.9) person-months. When models were adjusted for time of eating variables and all other covariates, extending the eating window beyond 11.02 h was associated with decreased risk of cardiovascular (HR 0.36 [95 % CI 0.16-0.81]), but not all-cause mortality. Time of first and last eating occasions were not associated with mortality. CONCLUSIONS: In adults with HF, an extended eating window is associated with reduced risk for cardiovascular mortality. Randomized controlled trials should examine if extending the eating window can improve prognostic indicators such as cardiorespiratory fitness in this population.

Clock Time of First Eating Episode and Prospective Risk of All-Cause Mortality in US Adults.

BACKGROUND: There is increasing recognition that a morning or evening preference is associated with time of eating, metabolic health, and morbidity. However, few studies have examined the association of time of eating with mortality. OBJECTIVES: To examine the association of time of first recalled ingestive episode with the prospective risk of all-cause mortality. METHODS: We used mortality-linked data from the NHANES conducted in 1988-1994 and 1999-2014 (n = 34,609; age ≥ 40 years). The exposure was quartiles (Q1-Q4) of clock time of first eating episode self-reported in the baseline 24-hour dietary recall. The outcome was follow-up time from the date of NHANES examination to the date of death or end of the follow-up period (31 December 2015). We used proportional hazards regression methods to determine the independent association of time of first eating episode with relative hazard of all-cause mortality, with adjustments for multiple covariates and the complex survey design. Multiple linear regression methods were used to examine the associations of time of first eating episode with baseline cardiometabolic biomarkers and dietary attributes. RESULTS: In this national cohort, with a median age of ∼55 years (95% CI: 54.6-55.4 years) at baseline and a median follow-up of 8.3 years (IQR, 8.75 years), there were 10,303 deaths. The median times of first eating episodes in Q1-Q4 were 05:45, 07:00, 08:00, and 10:00, respectively. Covariate-adjusted relative hazards of mortality in Q1 to Q3 of the time of the first eating episode were 0.88 (95% CI: 0.81-0.96), 0.88 (95% CI: 0.81-0.95), 0.94 (95% CI: 0.87-1.02), with Q4 as the referent (P = 0.0008). Qualitative dietary attributes were inversely related with the time of the first eating episode; however, BMI and serum concentrations of glycemic biomarkers increased with later times of first eating episode (P ≤ 0.0001). CONCLUSIONS: Recall of an earlier time of the first eating episode by ≥40-year-old US participants was suggestive of a small relative survival advantage in this observational study.

Time of eating and cardiorespiratory fitness in patients with heart failure with preserved ejection fraction and obesity.

BACKGROUND AND AIMS: Our objective was to examine the impact of caloric intake before or after the mean time of evening meal on cardiorespiratory fitness (CRF) in patients with heart failure with preserved ejection fraction (HFpEF) and obesity. METHODS AND RESULTS: Twelve patients with HFpEF and obesity completed a cardiorespiratory exercise test to measure CRF, defined as peak oxygen consumption (VO2). Three five-pass 24-h dietary recalls were performed for each participant and mean evening meal time was determined for each participant individually as well as the group. Participants were divided into those who ate before (Group I) and after (Group II) the mean time of evening meal, 7:25 PM. Peak VO2 and exercise time were significantly greater in Group II compared to Group I, moreover, delaying time of evening meal was associated with greater peak VO2. CONCLUSION: Caloric intake after the mean time of evening meal was associated with better CRF in patients with HFpEF and concomitant obesity. Later nutrient intake may help prevent fasting related stress associated with cardiac metabolic disturbances present in HFpEF. Based on these findings, prospective trials aimed at examining the effects of later evening meal times in patients with HFpEF and obesity are warranted.

Distance metrics optimized for clustering temporal dietary patterning among U.S. adults.

OBJECTIVE: Few attempts to determine dietary patterns have incorporated concepts of time, specifically time and proportion of energy intake consumed throughout a day. A type of modified dynamic time warping (MDTW) was previously developed using an appropriate distance metric for patterning these aspects to determine temporal dietary patterns (TDP). This study further explores dynamic time warping (DTW) distance metrics including unconstrained DTW (UDTW), constrained DTW (CDTW), and MDTW with modern spectral clustering methods to optimize TDP related to dietary quality. MDTW was expected to create TDP with the strongest relationships to dietary quality and distinct visualization among U.S. adults 20-65y of the National Health and Nutrition Examination Survey 1999-2004. METHODS: Proportional energy intake by time of day metrics were optimized to create TDP from complete day-one 24-h dietary recalls using MDTW, UDTW with only a standard local constraint, and CDTW with standard local and global banding constraints, then clustered using spectral clustering. The association between each TDP distance metric clustering and mean dietary quality, as indicated by the 2005 Healthy Eating Index (HEI-2005), were determined using multiple linear regression controlled for potential confounders. Strength of association for each model was compared using adjusted R-squared. The results were also visualized to make qualitative comparisons. RESULTS: Four clusters representing distinct TDP for each distance metric by spectral clustering were generated among participants. MDTW exhibited TDP clusters with strongest associations to HEI compared with the TDP clusters generated from unconstrained and constrained DTW, and visualization of the TDP clusters from MDTW supported the association. IMPLICATION: MDTW paired with spectral clustering is a useful tool for dimension reduction and uncovering temporal patterns with dietary data.

Timing of daily calorie loading affects appetite and hunger responses without changes in energy metabolism in healthy subjects with obesity.

Morning loaded calorie intake in humans has been advocated as a dietary strategy to improve weight loss. This is also supported by animal studies suggesting time of eating can prevent weight gain. However, the underlying mechanisms through which timing of eating could promote weight loss in humans are unclear. In a randomized crossover trial (NCT03305237), 30 subjects with obesity/overweight underwent two 4-week calorie-restricted but isoenergetic weight loss diets, with morning loaded or evening loaded calories (45%:35%:20% versus 20%:35%:45% calories at breakfast, lunch, and dinner, respectively). We demonstrate no differences in total daily energy expenditure or resting metabolic rate related to the timing of calorie distribution, and no difference in weight loss. Participants consuming the morning loaded diet reported significantly lower hunger. Thus, morning loaded intake (big breakfast) may assist with compliance to weight loss regime through a greater suppression of appetite.

Midpoint of energy intake, non-fasting time and cardiorespiratory fitness in heart failure with preserved ejection fraction and obesity.

BACKGROUND: Delayed time of evening meal is associated with favorable cardiorespiratory fitness (CRF) in patients with heart failure with preserved ejection fraction (HFpEF) and obesity. It is unknown, however, if increasing daily non-fasting time or delaying the midpoint of energy intake may also be associated with CRF. OBJECTIVE: Our aim was to examine whether a longer non-fasting time, delayed midpoint of energy intake, or both, are associated with greater CRF in patients with HFpEF and obesity. METHODS: We measured peak oxygen consumption (VO2), a measure of CRF, in 32 patients with HFpEF and obesity with cardiopulmonary exercise testing, and dietary intake using a five-pass 24-h dietary recall. Participants were divided into groups by having lesser (<11.6) or greater (≥11.6) periods of non-fasting time than the median and similarly, with earlier (<2:15 PM) or later (≥2:15 PM) than median midpoint of energy intake. RESULTS: Median non-fasting time was 11.6 [10.6-12.9] hours and midpoint of energy intake was 2:15 [1:04-3:00] PM. There were no differences in CRF between those with a shorter (<11.6) or longer (≥11.6) non-fasting time. Participants with a delayed midpoint of energy intake (≥2:15 PM) had greater peak VO2 and exercise time. Midpoint of energy intake (r = 0.444, P = 0.011) and time of last meal (r = 0.550, P = 0.001) displayed a positive association with peak VO2, but not non-fasting time nor time of first meal. CONCLUSIONS: Delaying the midpoint of energy intake by postponing last meal is associated with better peak VO2 and exercise time in patients with HFpEF and obesity.

Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes.

Diabetes is the seventh leading cause of death in United States. Dietary intake and behaviors are essential components of diabetes management. Growing evidence suggests dietary components beyond carbohydrates may critically impact glycemic control. Assessment tools on mobile platforms have the ability to capture multiple aspects of dietary behavior in real-time throughout the day to inform and improve diabetes management and insulin dosing. The objective of this narrative review was to summarize evidence related to dietary behaviors and composition to inform a mobile image-based dietary assessment tool for managing glycemic control of both diabetes types (type 1 and type 2 diabetes). This review investigated the following topics amongst those with diabetes: (1) the role of time of eating occasion on indicators of glycemic control; and (2) the role of macronutrient composition of meals on indicators of glycemic control. A search for articles published after 2000 was completed in PubMed with the following sets of keywords "diabetes/diabetes management/diabetes prevention/diabetes risk", "dietary behavior/eating patterns/temporal/meal timing/meal frequency", and "macronutrient composition/glycemic index". Results showed eating behaviors and meal macronutrient composition may affect glycemic control. Specifically, breakfast skipping, late eating and frequent meal consumption might be associated with poor glycemic control while macronutrient composition and order of the meal could also affect glycemic control. These factors should be considered in designing a dietary assessment tool, which may optimize diabetes management to reduce the burden of this disease.

Relationships Between Food Groups and Eating Time Slots According to Diabetes Status in Adults From the UK National Diet and Nutrition Survey (2008-2017).

Time of eating is associated with diabetes and obesity but little is known about less healthy foods and specific time of their intake over the 24 h of the day. In this study, we aimed to identify potential relationships between foods and their eating time and to see whether these associations may vary by diabetes status. The National Diet and Nutrition Survey (NDNS) including 6,802 adults (age ≥ 19 years old) collected 749,026 food recordings by a 4-day-diary. The contingency table cross-classifying 60 food groups with 7 pre-defined eating time slots (6-9 a.m., 9 a.m.-12 p.m., 12-2 p.m., 2-5 p.m., 8-10 p.m., 10 p.m.-6 a.m.) was analyzed by Correspondence Analysis (CA). CA biplots were generated for all adults and separately by diabetes status (self-reported, pre-diabetes, undiagnosed-diabetes, and non-diabetics) to visually explore the associations between food groups and time of eating across diabetes strata. For selected food groups, odds ratios (OR, 99% CI) were derived of consuming unhealthy foods at evening/night (8 p.m.-6 a.m.) vs. earlier time in the day, by logistic regression models with generalized estimating equations. The biplots suggested positive associations between evening/night and consumption of puddings, regular soft drinks, sugar confectioneries, chocolates, beers, ice cream, biscuits, and crisps for all adults in the UK. The OR (99% CIs) of consuming these foods at evening/night were, respectively, 1.43 (1.06, 1.94), 1.72 (1.44, 2.05), 1.84 (1.31, 2.59), 3.08 (2.62, 3.62), 7.26 (5.91, 8.92), 2.45 (1.84, 3.25), 1.90 (1.68, 2.16), and 1.49 (1.22, 1.82) vs. earlier time in the day adjusted for age, sex, body mass index (BMI), and social-economic levels. Stratified biplots found that sweetened beverages, sugar-confectioneries appeared more strongly associated with evening/night among undiagnosed diabetics. Foods consumed in the evening/night time tend to be highly processed, easily accessible, and rich in added sugar or saturated fat. Individuals with undiagnosed diabetes are more likely to consume unhealthy foods at night. Further longitudinal studies are required to ascertain the causal direction of the association between late-eating and diabetes status.

Within-person compensation for snack energy by US adults, NHANES 2007-2014.

BACKGROUND: Most Americans snack and some snack several times a day; however, compensatory dietary and eating behaviors associated with snacking in free-living individuals are poorly understood. OBJECTIVE: The aim of the study was to examine within-person differences in reported energy intake and eating patterns on a snack day relative to a no-snack day. METHODS: We used 2 d of dietary recall data from the NHANES 2007-2014 to replicate the crossover nutrition study paradigm in a natural setting. Respondents reporting a snack episode in only one of two available dietary recalls were eligible for inclusion in the study (n = 1,917 men and 1,860 women). We used multivariable regression methods to compare within-person differences in quantitative, qualitative, and eating pattern outcomes between the snack and no-snack recall days. RESULTS: On the snack day, snack episodes provided (mean difference and 95% CI) 493 (454, 532) kcal of energy in men and 360 (328, 392) kcal in women. The 24-h energy intake on snack day was higher by 239 (140, 337) kcal in men and 219 (164, 273) kcal in women (P < 0.0001). On the snack day, both men and women were more likely to skip main meals and reported lower energy intake from main meals (P < 0.0001); however, the energy density of foods or beverages reported on the snack compared with no-snack days were not different. Fruit servings were higher on the snack day (P ≤ 0.0004), but intakes of vegetables and key micronutrients did not differ. The 24-h ingestive period was longer on the snack day (P < 0.0001). CONCLUSIONS: Free-living men and women partially compensated for snack energy by decreasing energy intake from main meals without adverse associations with qualitative dietary characteristics or time of meal consumption. Women compensated to a smaller extent than men. Thus, over the long term, snack episodes may contribute to positive energy balance, and the risk may be higher in women.

Eating patterns of US adults: Meals, snacks, and time of eating.

The objective of this paper is to update knowledge of eating patterns of US adults with sex and ethnicity specific estimates and discuss the implications of reported patterns with respect to current resurgence of interest in the topic. The eating patterns data were from the NHANES 2009-2014 (n = 15,341 adults). Overall, American adults reported 4.96 ±â€¯0.03 eating episodes in the recall. Women were more likely to report each of the three main meals and all three meals plus one or more snacks relative to men (P < 0.0001). Relative to other ethnic groups, non-Hispanic blacks were less likely to report each meal or a snack or all three meals, and the foods reported for meals and snacks were higher in energy density (P = 0.0001). Of the three meals, the dinner meal, and among snacks, the after-dinner snack, were reported by the highest percentage of Americans; these two eating episodes provided nearly 45% of the 24-h energy intake. The average dinnertime was 6:24 pm, and the average time of the last eating episode of the 24-h ingestive period was 8:18 pm. Given these findings, adoption of eating patterns that advocate less frequent eating and shift in the time of eating are likely to present a challenge. We know little about the validity of eating patterns determined from 24-h recalls or questionnaire instruments. The extent of within person variability and reporting errors in different eating pattern components also need further research.

Within-person comparison of eating behaviors, time of eating, and dietary intake on days with and without breakfast: NHANES 2005-2010.

BACKGROUND: Breakfast omission is known to be associated with lower 24-h energy intake. However, little is known about downstream eating behaviors subsequent to skipping breakfast in free-living individuals. OBJECTIVE: We replicated the traditional crossover design of nutrition studies in a naturalistic setting to compare within-person differences in self-reported eating behaviors, energy intake, and other dietary characteristics of individuals on a day that included breakfast with a day that omitted breakfast. DESIGN: We used cross-sectional dietary data for 2132 adult respondents who reported breakfast in only one of 2 dietary recalls in the NHANES 2005-2010. Dietary outcomes examined included meal- and snack-eating behaviors, clock time of eating episodes, and intakes of energy, macronutrients, and food groups. Regression methods accounted for replicate diet measurements, covariates, and survey-design characteristics. RESULTS: The breakfast meal provided a mean of 508 kcal in men and 374 kcal in women, but differences in 24-h energy intakes between the breakfast and no-breakfast day were 247 and 187 kcal, respectively. Energy intakes at the lunch meal were higher on the no-breakfast day (202 kcal in men and 121 kcal in women), and the reported time of lunch was ∼35 min earlier. The energy contribution of dinner or its reported time did not differ. A higher number of energy-adjusted servings of fruit and whole grains were reported on the breakfast day, but the energy and macronutrient density of reported foods were not different. CONCLUSIONS: In free-living American adults, the eating time for lunch was earlier, and the lunch meal provided more energy on the no-breakfast day than on the breakfast day. Although the quality of dietary selections reflected in the energy and macronutrient density of a day's intake did not differ between the breakfast and the no-breakfast day, breakfast skippers may need encouragement to consume fruit and whole grains at other eating episodes.

40-year trends in meal and snack eating behaviors of American adults.

BACKGROUND: Understanding changes in profiles of eating behaviors over time may provide insights into contributors to upward trajectories of obesity in the US population. Yet little is known about whether or not characteristics of meal and snack eating behaviors reported by adult Americans have changed over time. OBJECTIVE: To examine time trends in the distribution of day's intake into individual meal and snack behaviors and related attributes in the US adult population. DESIGN: The study was observational with cross-sectional data from national surveys fielded over 40 years. PARTICIPANTS/SETTING: Nationally representative dietary data from nine National Health and Nutrition Examination Surveys conducted from 1971-1974 to 2009-2010 (N=62,298 participants aged 20-74 years) were used to describe eating behaviors. OUTCOMES EXAMINED: The respondent-labeled eating behaviors examined included main meals (breakfast, lunch, and dinner), and snacks (before breakfast, between breakfast and lunch, between lunch and dinner, after dinner, or other). For each eating behavior, percent of reporters, relative contribution to 24-hour energy intake, the clock time of report, and intermeal/snack intervals were examined. STATISTICAL ANALYSIS: Multivariable logistic and linear regression methods for analysis of complex survey data adjusted for characteristics of respondents in each survey. RESULTS: Over the 40-year span examined reports of each individual named main meal (or all three main meals) declined, but reports of only two out of three meals or the same meal more than once increased; the percentage of 24-hour energy from snacks reported between lunch and dinner or snacks that displaced meals increased; clock times of breakfast and lunch were later, and intervals between dinner and after-dinner snack were shorter. Changes in several snack reporting behaviors (eg, report of any snack or ≥2 snacks), were significant in women only. CONCLUSIONS: Several meal and snack eating behaviors of American adults changed over time, with a greater change in snack behaviors of women relative to men.