Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-08T15:30:00.625Z Has data issue: false hasContentIssue false

Chrono-nutrition: a review of current evidence from observational studies on global trends in time-of-day of energy intake and its association with obesity

Published online by Cambridge University Press:  22 June 2016

S. Almoosawi*
Affiliation:
Institute of Health and Society and Human Nutrition Research Centre, Newcastle University, Newcastle upon Tyne NE2 4HH, UK Department of Nutrition and Health Research, Nestle Research Centre, Lausanne 1000, Switzerland
S. Vingeliene
Affiliation:
Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
L. G. Karagounis
Affiliation:
Department of Nutrition and Health Research, Nestle Research Centre, Lausanne 1000, Switzerland School of Physical Education and Sports Science, University of Thessaly, Trikala, Greece
G. K. Pot
Affiliation:
Diabetes and Nutritional Sciences Division, King's College London, London SE1 9NH, UK Department of Health and Life, Faculty of Earth and Life Sciences, VU University Amsterdam, 1081 HV, The Netherlands
*
*Corresponding author: S. Almoosawi, email [email protected]
Rights & Permissions [Opens in a new window]

Abstract

The importance of the circadian rhythm in regulating human food intake behaviour and metabolism has long been recognised. However, little is known as to how energy intake is distributed over the day in existing populations, and its potential association with obesity. The present review describes global trends in time-of-day of energy intake in the general population based on data from cross-sectional surveys and longitudinal cohorts. Evidence of the association between time-of-day of energy intake and obesity is also summarised. Overall, there were a limited number of cross-sectional surveys and longitudinal cohorts that provided data on time-of-day of energy intake. In the identified studies, a wide variation in time-of-day of energy intake was observed, with patterns of energy distribution varying greatly by country and geographical area. In relation to obesity, eight cross-sectional surveys and two longitudinal cohorts were identified. The association between time-of-day of energy intake and obesity varied widely, with several studies reporting a positive link between evening energy intake and obesity. In conclusion, the current review summarises global trends in time-of-day of energy intake. The large variations across countries and global regions could have important implications to health, emphasising the need to understand the socio-environmental factors guiding such differences in eating patterns. Evidence of the association between time-of-day of energy intake and BMI also varied. Further larger scale collaborations between various countries and regions are needed to sum data from existing surveys and cohorts, and guide our understanding of the role of chrono-nutrition in health.

Type
Conference on ‘Roles of sleep and circadian rhythms in the origin and nutritional management of obesity and metabolic disease’
Copyright
Copyright © The Authors 2016 

Circadian rhythms are cyclical endogenous processes that occur with a periodicity of approximately 24 h. Research carried out in the 1970s identified a region in the brain of mammals within the anterior hypothalamus known as the suprachiasmatic nucleus. The suprachiasmatic nucleus also known as the master clock is synchronised to geophysical time via photic activation of the retinal ganglion cells. In this way, the suprachiasmatic nucleus can synchronise oscillators present within the cells of most organs and tissues, therefore influencing several physiological processes( Reference Johnston 1 ). So although the importance of circadian rhythms in regulating mammalian physiological responses has been recognised for a long time( Reference Mendoza 2 ), its impact on nutrition and metabolism is relatively new and is an area of evolving interest( Reference Halberg 3 ).

It is now well recognised that food intake, appetite, digestion and metabolism each exhibit circadian patterns( Reference Waterhouse, Minors and Atkinson 4 ). Food intake itself serves as a regulator of the circadian clock, particularly the peripheral circadian clock in tissues such as the liver and the intestine( Reference Damiola, Le Minh and Preitner 5 Reference Froy, Chapnik and Miskin 7 ). Conversely, the central circadian clock, entrained by the dark–light cycle, is known to extend its effect on food absorption. More specifically, small peptides cleaved in the intestine from dietary protein have been shown to be transported in a circadian-driven process( Reference Qandeel, Duenes and Zheng 8 ). Similar observations have been made for glucose( Reference Iwashina, Mochizuki and Inamochi 9 ) and lipid transport( Reference Pan and Hussain 10 ). However, despite our ever-growing knowledge of circadian rhythms, we still need to gain further insight into how the nutrient content of a mixed meal (macronutrient, micronutrient and energy content) may interact to benefit/compromise health.

The debate as to when to eat is imbedded in human history. Ancient Greeks consumed three to four meals, with breakfast and the evening meal being deemed most important( Reference Matalas, Zampelas and Stavrinos 11 ). In Roman times, breakfast was consumed at dawn although greater emphasis was given to eating later in the day particularly amongst the upper social classes( Reference Matalas, Zampelas and Stavrinos 11 ). By contrast, the poorer social classes ate their meals in line with the patterns of manual labour and thus consistent with the night–day cycle( Reference Matalas, Zampelas and Stavrinos 11 ). In the Islamic world, meal timing was also often dictated by the dark–light cycle. Consuming a meal before sunrise was deemed to be a sacred ritual that prepared the human body for fast and promoted health. Accordingly, the famous physician Avicenna recommended eating two meals a day, one taken prior to sunrise and the second taken in the evening at dusk( Reference Salas-Salvado, Huetos-Solano and Garcia-Lorda 12 ). The ancient physicians of Andalusia also believed in the importance of consuming two to three meals a day separated by 6–12 h intervals depending on the nature of the individual and their health status( Reference Salas-Salvado, Huetos-Solano and Garcia-Lorda 12 ). By the middle-ages, however, eating breakfast in Europe was seen as a sinful act, and physicians warned against eating breakfast as it was thought to be detrimental to health( Reference Anderson 13 ). It was not until later in the 16th century that breakfast became recognised as an essential meal( Reference Anderson 13 ), and proverbs such as ‘Eat breakfast yourself, share lunch with a friend and give dinner away to your enemy’ or ‘Eat breakfast like a king, lunch like a prince and dinner like a pauper’ became prevalent.

Recent evidence obtained from both randomised controlled trials and observational studies have indeed documented the importance of breakfast consumption and its associated benefits to health( Reference Betts, Richardson and Chowdhury 14 ). Several studies have also investigated the relationship between night eating and cardiometabolic disorders, including obesity( Reference Madzima, Panton and Fretti 15 ). Furthermore, the way the overall energy load is distributed across the day has also been shown to result in altered physiological adaptations( Reference Kinsey, Eddy and Madzima 16 , Reference Ormsbee, Kinsey and Eddy 17 ). The exact reason for this is not clear. However, recent evidence has emerged suggesting that various genes involved in substrate metabolism such as dietary lipids are under direct control of the circadian rhythm dictating their metabolic fate towards oxidation or storage( Reference Hodge, Wen and Riley 18 ).

Such studies highlight the importance of understanding the role of circadian rhythms and chronobiology in nutrition and how these may alter the physiological status. The exact driver behind such alterations is not clear. Nonetheless, given the complex interplay between the various eating occasions and the fact that energy intake at one eating occasion is not independent of intake at previous or subsequent occasions, it is critical to consider a broader approach that encompasses the so-called circadian rhythms of eating and in which timing of energy intake is considered across the full spectrum of eating occasions.

Against, this background, the current review aimed: (1) to describe current trends in energy intake across the day in the general population worldwide and contrast differences in time-of-day of energy intake across the life-course, and different sexes, and (2) to systematically review the association between time-of-day of energy intake in relation to metabolic disease, particularly obesity.

Identifying observational studies

The present review included observational studies that used a cross-sectional or longitudinal design and which had quantitative data on energy intake at different eating occasions, wherein eating occasions were categorised into either pre-defined meal slots, self-defined or statistically defined. All published studies that used a quantified dietary assessment method (24 h recall, food records, diet history) to estimate energy intake at different eating occasions were included. We excluded qualitative studies that assessed frequency of eating occasions, or that simply reported proportions of meal consumers or skippers, as well as methodological and validation studies. Studies that looked at specific population groups (i.e. athletes) or patients were also excluded. We did not consider studies that assessed energy intake at specific eating occasions (i.e. breakfast) without reporting energy intake at other eating occasions.

Characteristics of observational studies

Overall, 1660 titles were identified using the search terms (see supplementary material), of which fifty were duplicates. An additional three titles were identified using manual searches of reference lists. Based on assessment of titles, a total of twenty-five abstracts were identified as potentially relevant. Of the latter studies, five studies were excluded because the main outcome of interest was comparing energy intake from snacks v. meals( Reference Ovaskainen, Tapanainen and Pakkala 19 Reference Ovaskainen, Reinivuo and Tapanainen 23 ). One other study focused on meal and snack patterns and daily eating frequency( Reference Kerver, Yang and Obayashi 24 ). Overall, eleven full-text articles were included in the present review( Reference Almoosawi, Winter and Prynne 25 Reference Sjoberg, Hallberg and Hoglund 35 ). These studies are summarised in Table 1.

Table 1. Characteristics of studies included in the review on time-of-day of energy intake (n 11)

There was a wide variation in the dietary assessment methods, with the majority of studies using food records and 24 h recalls. Moreover, the definition of eating occasions varied widely. In most studies, eating occasions consisted of pre-defined meal slots( Reference Almoosawi, Winter and Prynne 25 , Reference Vossenaar, Montenegro-Bethancourt and Kuijper 26 ), and in a few occasions survey members self-reported the type of eating occasion with the aid of a list containing standardised meal and snack names. Sjoberg et al.( Reference Sjoberg, Hallberg and Hoglund 35 ) used a diet history method alongside an interview with a dietitian. The questionnaire used as part of the diet history method had a quantitative element and was divided into sections to cover breakfast, lunch, dinner and in-between meals eating occasions. Meals were defined based on the locations and time of intake during the day, thereby taking into consideration the elements of ‘when’ and ‘where’. Accordingly, breakfast was defined as intake in the morning before school, while lunch was considered as intake during lunch break at school and dinner as the main meal in the afternoon after schools. By contrast, Howarth et al.( Reference Howarth, Huang and Roberts 36 ) assessed eating patterns based on data collected from two 24 h dietary recalls. Eating occasions were standardised using a statistical method that incorporated both self-reported definitions of eating occasions with a statistical approach incorporated a time element. For instance, two or more meals consumed within 59 min of each other were deemed to be one eating occasion( Reference Howarth, Huang and Roberts 36 ). Similarly, if a brunch was reported or multiple same meals (i.e. two dinners), an a priori criterion was used to recode these eating occasions to ensure standardisation across all survey members. One study did not specify how eating occasions were defined( Reference Stockman, Schenkel and Brown 28 ). Eating occasions reported outside the main meals (breakfast, lunch and dinner) were labelled as snacks and combined into one category. Only one study did not combine the between-meals eating occasions to one category, which permitted evaluation of energy intake between meals and whether there were differences in energy intake at mid-morning, mid-afternoon and late-evening eating occasions( Reference Almoosawi, Winter and Prynne 25 ).

In relation to obesity, 962 publications were identified using the search strategy (see supplementary material). After removing forty-four duplicates, 918 titles remained. Of these, fourteen articles were selected for further screening. An additional article was identified using manual searches. A total of ten full-text articles were found to be eligible and therefore included in the review (Table 2).

Table 2. Characteristics of studies included in the review on time-of-day of energy intake and obesity (n 12)

In relation to studies on obesity, various dietary assessment methods were used to assess the association between the time-of-day of energy or macronutrient intake and BMI. The number of dietary data days also varied from as few as 1–7 d. BMI was assessed as a continuous variable expressed as kg/m2 or as z-scores in some studies( Reference Howarth, Huang and Roberts 27 , Reference Aljuraiban, Chan and Oude Griep 37 Reference Summerbell, Moody and Shanks 40 ), whilst in others BMI was treated as a categorical variable( Reference Dubois, Girard and Potvin Kent 41 , Reference Lioret, Touvier and Lafay 42 ). One study selected subcutaneous and visceral fat as an outcome of interest( Reference Kondoh, Takase and Yamaguchi 43 ). In the majority of studies, time-of-day of energy intake was assessed by dividing eating occasions into four main groups (breakfast, lunch, dinner and snacks).

Global trends in time-of-day of energy intake

There was a wide variation in the contribution of different eating occasions to energy intake across the studies (Table 3). Overall, four different patterns of energy distribution could be observed in these studies (Fig. 1). These patterns differed by country and geographical area (Fig. 2).

Fig. 1. Patterns of energy distribution based on eligible studies (n 11). Meals are ranked according to their contribution to energy intake over the day.

Fig. 2. Proportion of daily energy intake at breakfast, lunch, dinner and snacks according to global regions (n 11). Bars represent weighed means. Northern Europe region does not include data from Northern Ireland as sample size was not provided for calculation of weighed average.

Table 3. Proportion of energy intake at breakfast, lunch, dinner and snacks based on eligible studies (n 11)

For instance, Vossenaar et al. assessed the distribution of energy, macro- and micronutrient intakes in a cross-sectional sample of school children in Guatemala attending third and fourth grades( Reference Vossenaar, Montenegro-Bethancourt and Kuijper 26 ). In this survey, lunch contributed the greatest proportion of daily energy intake, while breakfast and dinner contributed an equal proportion of daily energy intake( Reference Vossenaar, Montenegro-Bethancourt and Kuijper 26 ). Macronutrients followed a similar pattern of distribution as energy, whilst the distribution of micronutrients varied. Accordingly, lunch provided a greater proportion of all macronutrients, vitamin C and Zn, whereas breakfast provided more vitamins A and D, thiamine, riboflavin, folate Ca and Fe( Reference Vossenaar, Montenegro-Bethancourt and Kuijper 26 ). Poland followed a similar pattern of distribution with breakfast and dinner contributing approximately an equal proportion of energy intake and lunch providing the greatest contributor to energy intake over the day( Reference Schlettwein-gsell, Decarli and de Groot 30 ).

However in France, Switzerland, Italy and Northern Ireland, the pattern of energy distribution differed in both adults and children in that the proportion of energy intake increased progressively reaching a peak at lunch and declining thereafter. As such, lunch contributed the greatest proportion of energy intake followed by dinner and breakfast( Reference Schlettwein-gsell, Decarli and de Groot 30 , Reference Lafay, Vray and Boute 33 ).

In Sweden, energy distribution followed a different pattern. In a cross-sectional survey conducted by Sjoberg et al., dietary data were collected from 611 boys and 634 girls attending grade nine in Goteborg, Sweden( Reference Sjoberg, Hallberg and Hoglund 35 ). Breakfast and dinner were found to contribute the greatest proportion of energy intake across the day, whilst lunch contributed the lowest proportion of energy intake over the day.

In the UK, USA, Germany, Canada, Denmark, Netherlands and Belgium, the pattern of energy distribution varied from the earlier studies. Accordingly, in the UK, the proportion of daily energy intake increased gradually across the day, with breakfast providing the lowest proportion of energy intake while dinner contributed the greatest proportion of energy intake( Reference Almoosawi, Winter and Prynne 25 ). This eating pattern was observed at different follow-ups in the MRC 1946 British Birth Cohort. This corresponds to changes in distribution of energy intake between the years 1982, 1989 and 1999, which translates to when cohort members were aged 36, 43 and 53 years. On average, dinner contributed over 40 % of daily energy intake( Reference Almoosawi, Winter and Prynne 25 ). This is was markedly higher than in any of the other surveys. Macronutrient intake also followed a pattern similar to energy distribution in this cohort( Reference Almoosawi, Winter and Prynne 25 ).

Similar observations were made in the USDA Continuing Survey of Food Intake by Individuals, collected in 1994–1996, where energy intake was assessed using two 24 h food recalls. In this repeated cross-sectional survey, both younger survey members (20–59 years) and older survey members (60–90 years) were found to increase energy intake over the day( Reference Howarth, Huang and Roberts 27 ).

In Canada, data were available from a small-scale study wherein 180 healthy adolescent males aged 14–18 years were recruited from local high schools and community groups. Adolescents completed a 3-d food record. Breakfast contributed 18 % of total daily energy intake (TEI), followed by lunch (26 % TEI), and dinner at 34 % (TEI)( Reference Stockman, Schenkel and Brown 28 ). This pattern of energy distribution was consistent with the pattern observed in the UK and USA. Likewise in Germany, breakfast, lunch, and dinner contributed to TEI in the following proportions, respectively: 17, 29 and 33 %( Reference Winkler, Doring and Keil 44 ). Denmark( Reference Schlettwein-gsell, Decarli and de Groot 30 ), Netherlands( Reference Schlettwein-gsell, Decarli and de Groot 30 ) and Belgium( Reference De Henauw, Wilms and Mertens 32 ) followed a similar pattern with the proportion of energy intake increasing progressively through the day.

Breakfast, snacks and meals: contribution to total energy intake

The lowest proportion of energy from breakfast was observed in US children (11 % TEI in girls, 12 % TEI in boys) and Italian adults (11 % TEI in men, 13 % TEI in women)( Reference Schlettwein-gsell, Decarli and de Groot 30 ). By contrast, the proportion of TEI from breakfast was highest in Swedish boys (21 % TEI), Guatemalan children (22 % TEI in girls, 24 % TEI in boys) and Polish adults (28 % TEI in men, 30 % TEI in women; see Figs 3 and 4).

Fig. 3. Proportion of daily energy intake at breakfast, lunch, dinner and snacks in children.

Fig. 4. Proportion of daily energy intake at breakfast, lunch, dinner and snacks in adults.

In most countries, snacks contributed a larger proportion of energy intake through the day than breakfast. Swedish adolescents and Dutch men and women( Reference Schlettwein-gsell, Decarli and de Groot 30 ) reported obtaining the greatest proportion of energy from snacks, whereas adults from the UK( Reference Almoosawi, Winter and Prynne 25 ), France and Italy reported the lowest proportion of energy intake from snacks( Reference Schlettwein-gsell, Decarli and de Groot 30 ).

Secular trends in time-of-day of energy intake and differences according to age and sex

There were limited data of secular trends in time-of-day of energy intake. In the UK, data from the MRC 1946 British Birth Cohort demonstrated a trend towards increased energy intake later in the day between 1982 and 1999 corresponding to ages 36 and 53 years( Reference Almoosawi, Winter and Prynne 25 ).

There were some variations in energy intake across different eating occasions amongst younger and older people. For instance, in France, the contribution of lunch and dinner to daily energy intake increased progressively from ages 4 years and below, to ages 41 and above( Reference Lafay, Vray and Boute 33 ). In the USA, both younger adults and older adults obtained 38 % of their energy intake from dinner, although the younger group had a larger difference in energy intake between breakfast and dinner (15·9 % energy at breakfast v. 38·3 % of daily energy at dinner), compared with the older group (20·4 % energy at breakfast v. 38·1 % of daily energy at dinner)( Reference Howarth, Huang and Roberts 27 ).

Few studies examined differences in time-of-day of energy intake between men and women. On average, girls obtained a lower proportion of energy intake at breakfast compared with boys in both Guatemala( Reference Vossenaar, Montenegro-Bethancourt and Kuijper 26 ) and Sweden( Reference Sjoberg, Hallberg and Hoglund 35 ). In Guatemala, on average, girls obtained a greater percentage of energy from snacks( Reference Sjoberg, Hallberg and Hoglund 35 ), while in Sweden, girls obtained a greater proportion of energy at dinner compared with boys( Reference Sjoberg, Hallberg and Hoglund 35 ). In the UK, women reported obtaining a greater proportion of energy intake at breakfast than men at age 36 years( Reference Almoosawi, Winter and Prynne 25 ).

There were no marked sex-differences in the proportion of energy intake from breakfast or snacks in the countries surveyed by the Seneca Study( Reference Schlettwein-gsell, Decarli and de Groot 30 ). However, men from Poland reported a greater proportion of energy intake at lunch (33 % TEI) compared with Polish women (26 % TEI). Likewise, Swiss men reported a greater proportion of energy intake at dinner (33 % TEI) compared with Swiss women (28 % TEI)( Reference Schlettwein-gsell, Decarli and de Groot 30 ).

Time-of-day of energy intake in relation to BMI

There was a wide variation in the reported association between time-of-day of energy intake and obesity. Aljuraiban et al. assessed time-of-day by examining the ratio of evening-to-morning energy intake in the INTERMAP study( Reference Aljuraiban, Chan and Oude Griep 37 ). Accordingly, morning intake was defined as mean energy intake from 06.00 hours to 11.55 hours, while evening intake was defined as mean energy intake from 18.00 hours to 23.55 hours. Times were selected based on when 98 % of the US and UK INTERMAP survey members consumed morning and evening meals. Additionally, survey members were divided into quartiles of the ratio of evening:morning energy intake (<1·0, 1·0 to <1·5, 1·5 to <2·0, ≥2·0). Based on the findings of this study, survey members with <1·0 compared with >2·0 ratio of evening:morning energy intake had lower total energy intake and dietary energy density, and better nutrient quality of individual foods and nutrient density of the overall diet, as assessed using Nutrient Rich Food Index 9.3 (NRF9.3)( Reference Drewnowski 45 ). BMI was also found to be positively associated with evening:morning energy intake ratio, with a 2 sd difference in ratio of evening:morning energy intake being associated with a 0·2 kg/m2 increase in BMI, after adjustment for sex, age and population sample( Reference Aljuraiban, Chan and Oude Griep 37 ). There was a tendency for individuals to have fewer eating occasions with increasing ratio of evening:morning energy intake, although this was NS( Reference Aljuraiban, Chan and Oude Griep 37 ).

Kondoh et al. pooled cross-sectional data from three interventions which included a total of 301 Japanese men aged 21–65 years. Energy intake was divided into four eating occasions: breakfast, lunch, supper and between-meal intake. The association between each eating occasion and visceral and subcutaneous adiposity was assessed in multiple linear regression models after adjustment for age. Only between-meal energy intake was associated positively with subcutaneous fat. No adjustments for sociodemographic or other sample characteristics were conducted.

In a longitudinal analysis of the association between time-of-day of macronutrient intake and the metabolic syndrome, increasing carbohydrate intake at the expense of carbohydrate at age 43 years was associated with lower waist circumference at age 53 years( Reference Almoosawi, Prynne and Hardy 46 ).

In another small cross-sectional study, time-of-day of energy intake was assessed using three 24 h dietary recalls and stratified by time-of-day into three categories: morning (00.00–11.00 hours), midday (11.00–17.00 hours) and evening (17.00–00.00 hours)( Reference Wang, Patterson and Ang 47 ). Data on time-of-day of beverage intake was not collected and, as such, energy intake from beverages was assumed to be evenly distributed across the eating occasions. The proportion of daily energy intake at morning, midday and evening was calculated, and participants were stratified into two categories; those reporting <33 % of total energy intake at morning, midday and evening, and those reporting ≥33 % of total energy intake at morning, midday and evening. In the crude analysis, higher proportion of energy intake at midday was associated with a healthy BMI. The odds of having a BMI ≥25 kg/m2 was almost double in men reporting a higher proportion of energy intake in the evening in the overall sample, after adjustment for age, sex, race and education, TEI and physical activity. However, once only men with self-reported energy intake within ±25 % of total energy expenditure as assessed by doubly-labelled water were included in the analysis, the odds of having a BMI ≥25 kg/m2 was lower in men reporting a higher proportion of energy intake at midday but not evening.

By contrast, in a cross-sectional study investigating the association between eating behaviours (eating speed and energy intake at main meals) in pre-school children (n 1138; age range 3·1–6·7 years), each 418·4 kJ (100 kcal) increase in energy intake at lunch increased the likelihood of overweight by a factor of 1·445( Reference Lin, Pan and Tang 48 ).

The association between breakfast skipping, BMI and time-of-day of energy intake was examined in the Longitudinal Study of Child Development in Quebec, when children were aged 44–56 months( Reference Dubois, Girard and Potvin Kent 41 ). Breakfast skipping was defined as eating breakfast on fewer than 7 d/week. Differences in energy and macronutrient intake at breakfast, morning snack, lunch, afternoon snack, dinner, and evening snack, as assessed using a 24 h recall, were compared amongst breakfast skippers and eaters. Overall, breakfast skippers were found to have lower energy intake at breakfast and over the day, as well as higher energy intake at lunch, afternoon snack and evening snack. Breakfast skippers reported having lower energy intake from main meal and greater energy intake from between meals. Furthermore, overweight/obesity in breakfast skippers was related to a higher energy and carbohydrate intake at dinner( Reference Dubois, Girard and Potvin Kent 41 ).

In a representative sample of French children aged 3–11 years (n 748), 7-d dietary records were collected as part of a cross-sectional survey( Reference Lioret, Touvier and Lafay 42 ). Eating occasions were categorised into four categories: breakfast, main meals (lunch and dinner) and snacks (any eating occasion other than breakfast and main meals). Overweight, defined using the International Obesity Task Force cut-points, was associated with a higher proportion of daily energy intake from main meals and snacks( Reference Lioret, Touvier and Lafay 42 ).

Howarth et al. compared the association between eating patterns, including time-of-day of energy intake, and BMI in younger (20–59 years, n 1792), and older (60–90 years, n 893) participants of the Continuing Survey of Food Intakes by Individuals( Reference Howarth, Huang and Roberts 27 ). Data were collected between 1994 and 1996. Higher BMI was associated with a higher TEI and higher intakes at all eating occasions in participants reporting plausible energy intake. The proportion of energy intake at different eating occasions was, however not assessed( Reference Howarth, Huang and Roberts 27 ).

In a convenience sample of 101 girls selected from a longitudinal growth and development study, dietary data were collected using a 7-d food record at baseline when cohort members were aged 8–12 years and at a follow-up when the same girls where aged 11–19 years( Reference Thompson, Ballew and Resnicow 38 ). Given that participants reported atypical eating patterns dietary events were classified based on time-of-day, frequency and amount of energy intake. Using data on time-of-day, dietary events were classified as morning (06.00–10.59 hours), afternoon (11.00–16.59 hours) and evening/night (17.00–05.59 hours). After controlling for baseline BMI z-score, the mean percentage of daily energy intake at evening/night was positively associated with change in BMI z-score( Reference Thompson, Ballew and Resnicow 38 ).

Maffeis found a correlation between proportion of energy intake at breakfast, dinner and night snack and percentage fat mass in children( Reference Maffeis, Provera and Filippi 39 ). There was a significant correlation between energy intakes at different eating occasions. Proportion of daily energy intake at dinner explained 2 % of the variation in children's BMI after adjustment for sex, energy intake/BMR ratio and parental BMI.

In another small-scale study, eating patterns were assessed in 220 individuals who completed 7-d weighed dietary records( Reference Summerbell, Moody and Shanks 40 ). In the latter study, 187 records were obtained from three independent studies, and data were reanalysed. These studies provided data on three age groups in the British population: Elderly group (n 88), Middle-aged group (n 40), Working age group (n 59). A fourth study of 13–14-year olds living in Croydon was carried out from which thirty-three usable diet records were collected to produce the Adolescent group. Greater energy intake at breakfast was associated with a lower BMI in the Adolescent group. In the Middle-aged group, greater energy intakes at breakfast and lower energy intakes during the evening were associated with a lower BMI. However, only the association between breakfast energy and BMI in the Adolescent group remained significant after including individuals with plausible energy intakes.

Summary of the evidence and current challenges

The present review provides a summary of published data on the time-of-day of energy intake in Northern and Southern Europe, and in North and South America. Despite the limited number of studies published in this field, data suggest that there are four patterns of energy distribution over the day. These patterns varied by country and geographical area. Although the factors contributing to such geographical differences in time-of-day of energy intake are not clear, they may potentially reflect sociocultural habits or beliefs related to eating behaviour. For instance, the fact that lunch is the most important meal of the day is characteristic of France and the Mediterranean region( Reference Pettinger, Holdsworth and Gerber 49 ), and serves as a reflection of the French beliefs of the importance of the pleasurable and social aspects of eating( Reference Pettinger, Holdsworth and Gerber 50 ). Consequently, the French tend to eat together as a household more regularly and to follow a regular meal pattern of three meals daily( Reference Pettinger, Holdsworth and Gerber 49 ). By contrast, in central England, individual ethics and convenience drive food choices and intake, which is then translated as increased consumption of ready-prepared and take-away meals, as well as higher intake of energy-dense snack foods such as crisps( Reference Pettinger, Holdsworth and Gerber 49 ). Indeed, such reliance on individual ethics and convenience may potentially favour an individual pattern of consumption where people prepare and consume meals alone and eat away from home( Reference Pettinger, Holdsworth and Gerber 49 ). This is particularly concerning given the established association of family meals with better diet quality and meal structure( Reference Larson, Fulkerson and Story 51 ). The absence of the latter might explain the greater prevalence of meal skipping in England compared with France( Reference Pettinger, Holdsworth and Gerber 49 ). This said, although a shift towards greater energy intake at the evening meal has been reported in France in recent decades( Reference Pettinger, Holdsworth and Gerber 49 ) due to changing working patterns( Reference Corella and Ordovas 52 ), the destructure of French eating patterns is not yet on par with the patterns observed in England( Reference Pettinger, Holdsworth and Gerber 49 ). This highlights the need for further studies to determine the sociocultural and socio-economic factors that govern time-of-day of energy intake. For instance in relation to breakfast, it is now well recognised that amongst children; girls, older adolescents, children from families within the lower socio-economic groups and those living in single-parent families are more likely to skip breakfast( Reference Vereecken, Dupuy and Rasmussen 53 ).

In relation to in-between meal energy intake, evidence from the literature demonstrated that the contribution of snacks to energy intake varied from as high as 37 % of TEI in Swedish boys( Reference Sjoberg, Hallberg and Hoglund 35 ) to as low as 2–3 % of TEI in French adults( Reference Lafay, Vray and Boute 33 ). In most countries, snacks provided a similar contribution to TEI as breakfast or more. The implications of the varying energy intake from snacks in relation to cardio-metabolic risk factors warrant investigation. However, it is important to mention that the majority of studies did not differentiate between mid-morning, mid-afternoon or late-evening eating occasions, with most studies aggregating in-between meal energy intake into one ‘snack’ category. This raises several challenges as the proportion of TEI at different time points might be more relevant than the total energy intake from snacks. Consistent with the latter hypothesis, it has previously been reported that consuming a small snack at night (23.00 hours) for 2 weeks, compared to a morning snack (10.00 hours), leads to a decline in 24 h fat oxidation( Reference Hibi, Masumoto and Naito 54 ).

In addition to the time-of-day of snack intake, the composition of snacks taken in-between meals might equally be important. For instance, in a study examining snacking behaviour in Scottish school children, 77 % of children reported eating biscuits, cakes and pastries; whilst 72 % ate crisps and savoury snacks; 70 % ate confectionery; and 69 % ate fruit as part of a snack( Reference Macdiarmid, Loe and Craig 55 ). In the USA, desserts, salty foods and sugar-sweetened beverages are the greatest contributors to energy intake from snacks( Reference Piernas and Popkin 56 ). By contrast in France, snacking is reported to be rare amongst adults, and when it does occur, it consists mainly of foods such as bread, cheese, yoghurts and fresh fruit rather than cakes, sweet biscuits or confectionery( Reference Pettinger 57 ). This again emphasises potential socio-cultural values related to eating behaviour.

With regard to secular trends, only one study had longitudinal data on time-of-day of energy intake. In the present study, a trend was observed towards increased energy intake later in the day between 1982 and 1999, corresponding to ages 36 and 53 years,( Reference Almoosawi, Winter and Prynne 25 ). The present study was, however, limited because it was based on data from a birth cohort. This rendered it impossible to differentiate secular trends from age trends. Differentiating secular and age trends is important to elucidate whether the recent increase in obesity prevalence is associated with a global trend towards increased energy intake later in the day, or whether it is related to life-style changes related to ageing.

Only a few studies examined differences in time-of-day of energy intake across different age groups. Accordingly, it was observed that, in France, lunch and dinner meals contribute a greater proportion of TEI in adults compared with children( Reference Lafay, Vray and Boute 33 ). Similarly, in USA, there was a greater disparity between the proportion of energy intake at breakfast v. dinner in younger adults compared with older adults( Reference Howarth, Huang and Roberts 27 ), which might reflect greater breakfast skipping and a larger proportion of energy intake later in the day. As discussed previously, such differences might be influenced by various socio-environmental factors. This emphasises the need for investigating the context of eating occasions, and understanding how factors such as ‘with whom’ and ‘where’ influence time-of-day of energy intake.

In the context of obesity, there were a limited number of studies investigating the association between time-of-day of energy intake and obesity. Moreover, there was a large heterogeneity in terms of the population studied, dietary assessment methods used, sample size, and choice of markers of obesity. Of the ten studies included in the second part of the present review, one study found an association between breakfast and BMI( Reference Summerbell, Moody and Shanks 40 ). Another study reported an association between lunch time intake and BMI( Reference Lin, Pan and Tang 48 ). However, the present study only assessed energy intake at lunch and did not observe or collect data on other eating occasions. Four studies identified evening energy intake as being an important eating occasion( Reference Thompson, Ballew and Resnicow 38 , Reference Maffeis, Provera and Filippi 39 , Reference Dubois, Girard and Potvin Kent 41 , Reference Wang, Patterson and Ang 47 ). Out of these four, one study reported that the association between evening intake and BMI was affected by breakfast habits wherein individuals who did not consume breakfast on all days (breakfast skippers), had higher BMI with increasing energy and carbohydrate intake in the evening( Reference Dubois, Girard and Potvin Kent 41 ). Similarly, one of the studies reported that the mean percentage of daily energy intake at evening/night is associated with a longitudinal increase in BMI z-score in girls( Reference Thompson, Ballew and Resnicow 38 ). Likewise, Wang et al. found that the association between evening intake and BMI diminished after removing individuals who may have potentially mis-reported their energy intake( Reference Wang, Patterson and Ang 47 ). A further two studies reported an association between energy intake between meals and subcutaneous fat and BMI, respectively( Reference Lioret, Touvier and Lafay 42 , Reference Kondoh, Takase and Yamaguchi 43 ). On the balance of this evidence, it could be speculated that evening energy intake is a major risk factor for obesity. However, additional data from cross-sectional and longitudinal surveys will be required to confirm such findings. Given the heterogeneity of the studies included in the present review, it was not possible to conduct a meta-analysis of the data. Moreover, it is important in future to differentiate between mid-morning, mid-afternoon and evening snacks, as it is likely that the time-of-day of snack intake is relevant to obesity risk.

It is noteworthy that one study found that energy intake at all occasions is associated with BMI( Reference Howarth, Huang and Roberts 27 ). However, in the latter study, absolute energy intake at every eating occasion was assessed without adjustment for intake at other eating occasions. It is likely that the use of absolute intake rather than proportion of TEI masks the association between time-of-day of energy intake and BMI( Reference Howarth, Huang and Roberts 27 ). This highlights the importance of controlling energy intake at other eating occasions when investigating the relationship between time-of-day of energy intake and obesity. Indeed in a recent clinical trial investigating the effect of redistributing the TEI on weight loss, the authors reported greater weight and waist circumference loss as well as improved insulinaemia, glycaemia and TAG levels in overweight and obese women when greater energy consumption occurred in the morning compared with the evening( Reference Jakubowicz, Barnea and Wainstein 58 ). Therefore, the timing and distribution of the TEI across the day play an important role in relation to cardio-metabolic risk factors. It has previously been reported that glucose homeostasis naturally fluctuates across the day indicating that is governed by the internal circadian system, and is thought to involve changes in insulin signalling( Reference Van Cauter, Polonsky and Scheen 59 ). Similarly, lipid metabolism has also been reported to be under the influence of the circadian clock. For example, plasma TAG concentrations are elevated during the biological night and the postprandial response following a nighttime meal is amplified compared with the same meal consumed during the day( Reference Morgan, Hampton and Gibbs 60 ).

Observational studies have also reported similar findings. In addition to individual eating occasions, Aljuraiban et al. ( Reference Aljuraiban, Chan and Oude Griep 37 ) pointed towards the importance of the ratio of evening:morning energy intake. This finding is important as it suggests the need for novel approaches to examine the relationship between time-of-day of energy intake and BMI. This could be further reinforced by Dubois et al.( Reference Dubois, Girard and Potvin Kent 41 ) who suggested that evening intake affects BMI differently based on whether individuals were regular or irregular consumers of breakfast.

There was little data on how time-of-day of macronutrient intake influences BMI. To our knowledge, time-of-day of macronutrient intake is critical to obesity, given that lipid and glucose metabolism are influenced by the circadian rhythm, a topic reviewed in a recent article by Oosterman et al ( Reference Oosterman, Kalsbeek and la Fleur 61 ). Consistent with this, a longitudinal association between carbohydrate intake at breakfast and the abdominal obesity component of the metabolic syndrome was observed in the 1946 British Birth Cohort( Reference Almoosawi, Prynne and Hardy 46 ). Likewise Dubois et al. reported that overweight/obesity in breakfast skippers was related to a higher carbohydrate intake at dinner( Reference Dubois, Girard and Potvin Kent 41 ). Collectively, findings from both randomised controlled clinical trials and longitudinal observational studies highlight the unequivocal role of the distribution of TEI across the day plays on outcomes cardiometabolic disease risk factors, including waist circumference and body weight( Reference Dubois, Girard and Potvin Kent 41 ).

Gaps in the literature and future research

Findings from the present review are limited by the small number of published data in time-of day of energy intake and the inconsistencies in the definition of eating patterns or the so-called circadian rhythms of energy intake, as well as obesity. Such limitations could be overcome in the future by including unpublished results from other cross-sectional surveys across the globe.

Although a number of studies investigated the distribution of energy intake across the eating occasions, there were few data as to the potential patterns of energy distribution or so-called meal patterns that could be observed in the studied populations. Indeed, in all of the earlier studies, average intake of survey members at the three main meals and snacks taken between meals was provided. However, with the exception of Winkler et al. ( Reference Winkler, Doring and Keil 29 ), none of the earlier studies examined variation in energy patterns over the day nor evaluated differences in meal patterns in their population. This renders it difficult to postulate as to whether there are variations to this traditional pattern. Although outside the scope of the present review, Kerver et al. identified five patterns of meal and snack intake in the Third National Health and Nutrition Examination Survey( Reference Kerver, Yang and Obayashi 24 ). Accordingly, 7·6 % of US adults reported consuming lunch, dinner and two snacks, 8·3 % consumed breakfast, lunch, dinner and no snacks, 13·1 % consumed breakfast, dinner and two snacks, 15·4 % consumed breakfast, lunch, dinner and one snack, and 31·6 % consumed breakfast, lunch, dinner and two or more snacks( Reference Kerver, Yang and Obayashi 24 ). To date, it remains unclear as to whether there are specific patterns of energy distribution that could be more beneficial or detrimental for health. Consequently, there is a need to elucidate how these meal patterns have changed over time, and what factors influence time-of-day of energy intake. As observed in the present review, there are differences in the contribution of the main meals to energy intake across the surveys. The latter raises the question as to what meal should ideally be contributing the greatest proportion of energy intake over the day. Although, evidence exists to suggest that a greater energy intake later in the evening is detrimental to health and is associated with increased obesity, we are still far from understanding whether, in relation to metabolic health, energy should be distributed equally across the day or whether it should be distributed with a descending pattern where breakfast contributes the greatest proportion of energy, followed by lunch and dinner. Evidence form human studies appears to indicate that satiety decreases progressively over the day, potentially implicating the need to consume a greater proportion of energy earlier in the day( Reference de Castro 62 ). However, recent evidence from animal models indicates that living organisms are biphasic and that, physiologically, eating two main meals a day (a bigger breakfast with a smaller dinner) but not one meal/d (breakfast only) helps control body weight and fat accumulation( Reference Fuse, Hirao and Kuroda 63 ).

To date, only selected countries have recommendations on the distribution of energy over the day, whilst more dietary recommendations provide nutrient- and food-based guidelines. As such, further research is required to shape future dietary guidelines.

One main limitation of the studies included in the present review is that eating occasions were defined using various methods such as using pre-defined meal slots, self-defined meal slots and statistically defined methods. There were inconsistencies in the definition of eating patterns or the so-called circadian rhythms of eating. Several studies described eating pattern as meal regularity or frequency. In other studies, dietary patterns was synonymously used as eating patterns and vice versa( Reference Thompson, Ballew and Resnicow 64 ). This highlights the need for a consensus to be reached in the definition of eating patterns. Furthermore, there is a need to develop novel statistical methods to investigate the relationship between time-of-day of energy intake and obesity, as intake at one eating occasion is likely to be influenced by energy intake at another eating occasion. Incorporating knowledge of time of energy intake as well as time of energy intake in relation to the biological clock and time of awakening is important.

Finally, it is noteworthy that of the data presented in the present review, only a small number of studies represented nationally relevant data from on-going surveillance studies. As such, findings from the present review might not summarise current trends in time-of-day of energy intake. Future studies should address the relationship between current trends in time-of-day of energy intake and cardio-metabolic health outcomes, particularly obesity.

Conclusion

The present review provides an indication of how energy intake is distributed over the day across the globe. Evidence of the association between time-of-day of energy and obesity was limited indicating the need for larger-scale collaborations between various countries and regions in order to sum the data from existing surveys and cohorts, and guide our understanding of the role of chrono-nutrition in health.

Supplementary material

The supplementary material for this article can be found at http://dx.doi.org/10.1017/S0029665116000306

Financial Support

None.

Conflicts of Interest

None.

Authorship

S. A. and S. V. conceptualised the study and conducted the literature search. L. G. K. and G. K. P. provided scientific input and assisted with data interpretation. All authors contributed jointly to the writing of this paper.

References

1. Johnston, JD (2014) Physiological responses to food intake throughout the day. Nutr Res Rev 27, 107118.CrossRefGoogle ScholarPubMed
2. Mendoza, J (2007) Circadian clocks: setting time by food. J Neuroendocrinol 19, 127137.Google Scholar
3. Halberg, F (1989) Some aspects of the chronobiology of nutrition – more work is needed on when to eat. J Nutr 119, 333343.Google Scholar
4. Waterhouse, J, Minors, D, Atkinson, G et al. (1997) Chronobiology and meal times: internal and external factors. B J Nutr 77, Suppl. 1, S29S38.Google Scholar
5. Damiola, F, Le Minh, N, Preitner, N et al. (2000) Restricted feeding uncouples circadian oscillators in peripheral tissues from the central pacemaker in the suprachiasmatic nucleus. Genes Dev 14, 29502961.CrossRefGoogle ScholarPubMed
6. Hara, R, Wan, K, Wakamatsu, H et al. (2001) Restricted feeding entrains liver clock without participation of the suprachiasmatic nucleus. Genes Cell 6, 269278.Google Scholar
7. Froy, O, Chapnik, N & Miskin, R (2005) Mouse intestinal cryptdins exhibit circadian oscillation. FASEB J 19, 19201922.Google Scholar
8. Qandeel, HG, Duenes, JA, Zheng, Y et al. (2009) Diurnal expression and function of peptide transporter 1 (PEPT1). J Surg Res 156, 123128.CrossRefGoogle ScholarPubMed
9. Iwashina, I, Mochizuki, K, Inamochi, Y et al. (2011) Clock genes regulate the feeding schedule-dependent diurnal rhythm changes in hexose transporter gene expressions through the binding of BMAL1 to the promoter/enhancer and transcribed regions. J Nutr Biochem 22, 334343.Google Scholar
10. Pan, X & Hussain, MM (2007) Diurnal regulation of microsomal triglyceride transfer protein and plasma lipid levels. J Biol Chem 282, 2470724719.CrossRefGoogle ScholarPubMed
11. Matalas, A, Zampelas, A, Stavrinos, V et al. (editors) (2001) The Mediterranean Diet: Constituents and Health Promotion. Florida: CRC Press.CrossRefGoogle Scholar
12. Salas-Salvado, J, Huetos-Solano, MD, Garcia-Lorda, P et al. (2006) Diet and dietetics in al-Andalus. Br J Nutr 96, Suppl. 1, S100S104.CrossRefGoogle ScholarPubMed
13. Anderson, HA (2013) Breakfast: A History. Plymouth: Rowman and Littlefield.Google Scholar
14. Betts, JA, Richardson, JD, Chowdhury, EA et al. (2014) The causal role of breakfast in energy balance and health: a randomized controlled trial in lean adults. Am J Clin Nutr 100, 539547.Google Scholar
15. Madzima, TA, Panton, LB, Fretti, SK et al. (2014) Night-time consumption of protein or carbohydrate results in increased morning resting energy expenditure in active college-aged men. Br J Nutr 111, 7177.CrossRefGoogle ScholarPubMed
16. Kinsey, AW, Eddy, WR, Madzima, TA et al. (2014) Influence of night-time protein and carbohydrate intake on appetite and cardiometabolic risk in sedentary overweight and obese women. Br J Nutr 112, 320327.CrossRefGoogle ScholarPubMed
17. Ormsbee, MJ, Kinsey, AW, Eddy, WR et al. (2014) The influence of nighttime feeding of carbohydrate or protein combined with exercise training on appetite and cardiometabolic risk in young obese women. Appl Physiol Nutr Metab 40, 3745.Google Scholar
18. Hodge, BA, Wen, Y, Riley, LA et al. (2015) The endogenous molecular clock orchestrates the temporal separation of substrate metabolism in skeletal muscle. Skeletal Muscle 5, 17.Google Scholar
19. Ovaskainen, ML, Tapanainen, H & Pakkala, H (2010) Changes in the contribution of snacks to the daily energy intake of Finnish adults. Appetite 54, 623626.Google Scholar
20. Popkin, BM & Duffey, KJ (2010) Does hunger and satiety drive eating anymore? Increasing eating occasions and decreasing time between eating occasions in the United States. Am J Clin Nutr 91, 13421347.Google Scholar
21. Zizza, CA, Tayie, FA & Lino, M (2007) Benefits of snacking in older Americans. J Am Diet Assoc 107, 800806.CrossRefGoogle ScholarPubMed
22. Jahns, L, Siega-Riz, AM & Popkin, BM (2001) The increasing prevalence of snacking among US children from 1977 to 1996. J Pediatr 138, 493498.CrossRefGoogle ScholarPubMed
23. Ovaskainen, ML, Reinivuo, H, Tapanainen, H et al. (2006) Snacks as an element of energy intake and food consumption. Eur J Clin Nutr 60, 494501.Google Scholar
24. Kerver, JM, Yang, EJ, Obayashi, S et al. (2006) Meal and snack patterns are associated with dietary intake of energy and nutrients in US adults. J Am Dietetic Assoc 106, 4653.Google Scholar
25. Almoosawi, S, Winter, J, Prynne, CJ et al. (2012) Daily profiles of energy and nutrient intakes: are eating profiles changing over time? Eur J Clin Nutr 66, 678686.Google Scholar
26. Vossenaar, M, Montenegro-Bethancourt, G, Kuijper, LD et al. (2009) Distribution of macro- and micronutrient intakes in relation to the meal pattern of third- and fourth-grade schoolchildren in the city of Quetzaltenango, Guatemala. Publ Health Nutr 12, 13301342.CrossRefGoogle Scholar
27. Howarth, NC, Huang, TT, Roberts, SB et al. (2007) Eating patterns and dietary composition in relation to BMI in younger and older adults. Int J Obes Relat Metab Disord 31, 675684.CrossRefGoogle ScholarPubMed
28. Stockman, NK, Schenkel, TC, Brown, JN et al. (2005) Comparison of energy and nutrient intakes among meals and snacks of adolescent males. Prevent Med 41, 203210.Google Scholar
29. Winkler, G, Doring, A & Keil, U (1999) Meal patterns in middle-aged men in Southern Germany: results from the MONICA Augsburg dietary survey 1984/85. Appetite 32, 3337.CrossRefGoogle ScholarPubMed
30. Schlettwein-gsell, D, Decarli, B & de Groot, L (1999) Meal patterns in the SENECA study of nutrition and the elderly in Europe: assessment method and preliminary results on the role of the midday meal. Appetite 32, 1522.Google Scholar
31. Brombach, C (2001) The EVA-study: meal patterns of women over 65 years. J Nutr Health Aging 5, 263265.Google ScholarPubMed
32. De Henauw, S, Wilms, L, Mertens, J et al. (1997) Overall and meal-specific macronutrient intake in Belgian primary school children. Ann Nutr Metab 41, 8997.Google Scholar
33. Lafay, L, Vray, M, Boute, D et al. (1998) Food and nutritional data for a population from northern France: the Fleurbaix Laventie Ville Sante (FLVS) Study. Revue d’épidémiologie et de santé publique 46, 263275.Google Scholar
34. Skinner, JD, Salvetti, NN, Ezell, JM et al. (1985) Appalachian adolescents’ eating patterns and nutrient intakes. J Am Diet Assoc 85, 10931099.Google Scholar
35. Sjoberg, A, Hallberg, L, Hoglund, D et al. (2003) Meal pattern, food choice, nutrient intake and lifestyle factors in The Goteborg Adolescence Study. Eur J Clin Nutr 57, 15691578.Google Scholar
36. Howarth, NC, Huang, TT, Roberts, SB et al. (2007) Eating patterns and dietary composition in relation to BMI in younger and older adults. Int J Obes 31, 675684.Google Scholar
37. Aljuraiban, GS, Chan, Q, Oude Griep, LM et al. (2015) The impact of eating frequency and time of intake on nutrient quality and Body Mass Index: the INTERMAP study, a population-based study. J Acad Nutr Dietetic 115, 528536.Google Scholar
38. Thompson, OM, Ballew, C, Resnicow, K et al. (2006) Dietary pattern as a predictor of change in BMI z-score among girls. Int J Obes Relat Metab Disord 30, 176182.Google Scholar
39. Maffeis, C, Provera, S, Filippi, L et al. (2000) Distribution of food intake as a risk factor for childhood obesity. Int J Obes Relat Metab Disord 24, 7581.CrossRefGoogle ScholarPubMed
40. Summerbell, CD, Moody, RC, Shanks, J et al. (1996) Relationship between feeding pattern and body mass index in 220 free-living people in four age groups. Eur J Clin Nutr 50, 513519.Google Scholar
41. Dubois, L, Girard, M, Potvin Kent, M et al. (2009) Breakfast skipping is associated with differences in meal patterns, macronutrient intakes and overweight among pre-school children. Publ Health Nutr 12, 1928.CrossRefGoogle ScholarPubMed
42. Lioret, S, Touvier, M, Lafay, L et al. (2008) Are eating occasions and their energy content related to child overweight and socioeconomic status? Obesity (Silver Spring, Md) 16, 25182523.Google Scholar
43. Kondoh, T, Takase, H, Yamaguchi, TF et al. (2014) Association of dietary factors with abdominal subcutaneous and visceral adiposity in Japanese men. Obes Res Clin Pract 8, e16e25.CrossRefGoogle ScholarPubMed
44. Winkler, G, Doring, A & Keil, U (1992) Food intake and nutrient sources in the diet of middle-aged men in southern Germany: results from the WHO MONICA Augsburg Dietary Survey 1984/85. Ann Nutr Metab 36, 1222.CrossRefGoogle ScholarPubMed
45. Drewnowski, A (2009) Defining nutrient density: development and validation of the nutrient rich foods index. J Am Coll Nutr 28, 421S426S.Google Scholar
46. Almoosawi, S, Prynne, CJ, Hardy, R et al. (2013) Time-of-day and nutrient composition of eating occasions: prospective association with the metabolic syndrome in the 1946 British birth cohort. Int J Obes 37, 725731.Google Scholar
47. Wang, JB, Patterson, RE, Ang, A et al. (2014) Timing of energy intake during the day is associated with the risk of obesity in adults. J Hum Nutr Dietetic 27, 255262.Google Scholar
48. Lin, M, Pan, L, Tang, L et al. (2014) Association of eating speed and energy intake of main meals with overweight in Chinese pre-school children. Publ Health Nutr 17, 20292036.Google Scholar
49. Pettinger, C, Holdsworth, M & Gerber, M (2006) Meal patterns and cooking practices in Southern France and Central England. Publ Health Nutr 9, 10201026.Google Scholar
50. Pettinger, C, Holdsworth, M & Gerber, M (2004) Psycho-social influences on food choice in Southern France and Central England. Appetite 42, 307316.Google Scholar
51. Larson, N, Fulkerson, J, Story, M et al. (2013) Shared meals among young adults are associated with better diet quality and predicted by family meal patterns during adolescence. Publ Health Nutr 16, 883893.CrossRefGoogle ScholarPubMed
52. Corella, D & Ordovas, JM (2014) How does the Mediterranean diet promote cardiovascular health? Current progress toward molecular mechanisms: gene-diet interactions at the genomic, transcriptomic, and epigenomic levels provide novel insights into new mechanisms. BioEssays: News Rev Mol Cell Dev Biol 36, 526537.Google Scholar
53. Vereecken, C, Dupuy, M, Rasmussen, M et al. (2009) Breakfast consumption and its socio-demographic and lifestyle correlates in schoolchildren in 41 countries participating in the HBSC study. Int J Publ Health 54, Suppl. 2, 180190.Google Scholar
54. Hibi, M, Masumoto, A, Naito, Y et al. (2013) Nighttime snacking reduces whole body fat oxidation and increases LDL cholesterol in healthy young women. Am J Physiol Regul Integrat Compar Physiol 304, R94R101.Google Scholar
55. Macdiarmid, J, Loe, J, Craig, LC et al. (2009) Meal and snacking patterns of school-aged children in Scotland. Eur J Clin Nutr 63, 12971304.Google Scholar
56. Piernas, C & Popkin, BM (2010) Snacking increased among US adults between 1977 and 2006. J Nutr 140, 325332.CrossRefGoogle ScholarPubMed
57. Pettinger, C (2000) Snacking behaviour in Southern France and the UK. Health Inequal Eur p. 378.Google Scholar
58. Jakubowicz, D, Barnea, M, Wainstein, J et al. (2013) High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring, MD) 21, 25042512.Google Scholar
59. Van Cauter, E, Polonsky, KS & Scheen, AJ (1997) Roles of circadian rhythmicity and sleep in human glucose regulation. Endocr Rev 18, 716738.Google Scholar
60. Morgan, L, Hampton, S, Gibbs, M et al. (2003) Circadian aspects of postprandial metabolism. Chronobiol Int 20, 795808.Google Scholar
61. Oosterman, JE, Kalsbeek, A, la Fleur, SE et al. (2015) Impact of nutrients on circadian rhythmicity. Am J Physiol Regul Integr Compar Physiol 308, R337R350.Google Scholar
62. de Castro, JM (2004) The time of day of food intake influences overall intake in humans. J Nutr 134, 104111.CrossRefGoogle ScholarPubMed
63. Fuse, Y, Hirao, A, Kuroda, H et al. (2012) Differential roles of breakfast only (one meal per day) and a bigger breakfast with a small dinner (two meals per day) in mice fed a high-fat diet with regard to induced obesity and lipid metabolism. J Circad Rhythms 10, 4.CrossRefGoogle Scholar
64. Thompson, OM, Ballew, C, Resnicow, K et al. (2006) Dietary pattern as a predictor of change in BMI z-score among girls. Int J Obes 30, 176182.Google Scholar
Figure 0

Table 1. Characteristics of studies included in the review on time-of-day of energy intake (n 11)

Figure 1

Table 2. Characteristics of studies included in the review on time-of-day of energy intake and obesity (n 12)

Figure 2

Fig. 1. Patterns of energy distribution based on eligible studies (n 11). Meals are ranked according to their contribution to energy intake over the day.

Figure 3

Fig. 2. Proportion of daily energy intake at breakfast, lunch, dinner and snacks according to global regions (n 11). Bars represent weighed means. Northern Europe region does not include data from Northern Ireland as sample size was not provided for calculation of weighed average.

Figure 4

Table 3. Proportion of energy intake at breakfast, lunch, dinner and snacks based on eligible studies (n 11)

Figure 5

Fig. 3. Proportion of daily energy intake at breakfast, lunch, dinner and snacks in children.

Figure 6

Fig. 4. Proportion of daily energy intake at breakfast, lunch, dinner and snacks in adults.

Supplementary material: File

Almoosawi supplementary material

Almoosawi supplementary material

Download Almoosawi supplementary material(File)
File 13.9 KB