What this is
- This systematic review and meta-analysis examines the impact of regular breakfast habits on cardiovascular and metabolic diseases.
- It synthesizes data from 14 cohort studies to clarify how breakfast frequency relates to conditions like type 2 diabetes and obesity.
- The findings suggest that regular breakfast consumption may lower the risk of various health issues, while skipping breakfast could negate these benefits.
Essence
- Regular breakfast habits significantly reduce the risk of cardiovascular and metabolic diseases, including type 2 diabetes and obesity. Skipping breakfast even once a week may diminish these health benefits.
Key takeaways
- Regular breakfast consumption (7 times/week) is associated with a reduced risk of type 2 diabetes mellitus (T2DM), with a () of 0.8 [95% CI: 0.7–0.91]. This indicates a protective effect against T2DM.
- Breakfast frequency greater than 3 times/week correlates with lower risks of obesity ( = 0.74 [95% CI: 0.59–0.94]) and hypertension ( = 0.92 [95% CI: 0.86–0.98]). Regular breakfast habits may thus play a crucial role in weight management and blood pressure control.
- Skipping breakfast once a week may significantly reduce the cardio-metabolic benefits associated with daily breakfast consumption. This emphasizes the importance of maintaining regular breakfast habits for optimal health.
Caveats
- The analysis is limited by potential residual confounding factors, as many studies relied on self-reported breakfast frequency, which may introduce bias.
- Sensitivity and subgroup analyses could not be performed for some conditions due to the limited number of studies, which may affect the robustness of the findings.
- The included studies primarily focused on populations in Asia, Europe, and the Americas, limiting the generalizability of the results to other regions.
Definitions
- Relative Risk (RR): A measure used to compare the risk of a health outcome between two groups, indicating how much more or less likely the outcome is in the exposed group compared to the unexposed group.
- Cardiovascular Diseases (CVD): A group of disorders affecting the heart and blood vessels, including hypertension, coronary heart disease, and stroke.
- Metabolic Syndrome (MetS): A cluster of conditions that increase the risk of heart disease, stroke, and diabetes, characterized by obesity, high blood pressure, and abnormal cholesterol levels.
AI simplified
Introduction
With the acceleration of the pace of modern life, breakfast, which is regarded as an important meal of the day, is being ignored by more and more people, which seemingly as a universal behavior, may have negative effects on your health.There are various reasons for skipping breakfast. For office workers, they may not have enough time to eat breakfast. For students, they may lack a good breakfast habit. As for obese patients, they may have a poor appetite or must limit their energy intake. As a matter of fact, regular breakfast habits can keep us energetic in work and study. In addition, eating breakfast can increase satiety, thereby reducing overeating later in the day to restrict weight gain.Recently, several studies have shown that skipping breakfast increases the risk of obesity,hypertension,hypercholesterolemia (HC),type 2 diabetes mellitus (T2DM),metabolic syndrome (MetS),coronary heart disease (CHD),and cardiovascular mortality (CVM).Conversely, can regular breakfast habits reduce cardiovascular and metabolic diseases? [,] 1 2 [] 3 [] 4 [] 5 [] 6 [] 7 [] 8 [] 9 [] 10
Most of the previous dietary studies have focused on dietary components and combinations,such as dietary fat, cereals, and the Mediterranean diet patterns, while few pay attention to the effects of daily eating behavior on cardiovascular diseases (CVD) and metabolic diseases (MetD). Besides, although a large number of previous studies have revealed the relationship between skipping breakfast and diabetes, most of them were cross-sectional ones.In this case, it is still unclear how skipping breakfast affects some other specific cardio-metabolic diseases. Therefore, the purpose of this meta-analysis is to systematically investigate the association between regular breakfast habits and cardio-metabolic diseases, and to update the epidemiological evidence so as to better serve public health and health promotion activities. [–] 11 14 [–] 14 17
Methods
Literature search and study selection
The protocols and reports of this meta-analysis rely on a meta-analysis of observational studies in epidemiological guidelines (MOOSE).Relevant studies were systematically retrieved (Zhi-hui and Xu) from PubMed, the Embase database and the Cochrane Library, and were restricted to English from the inception to May 10, 2019. Furthermore, the manual retrieval of the library was carried out. To ensure a comprehensive search, three sets of medical subject headings (MeSH) including “breakfast,” “cardiovascular diseases,” and “metabolic disease” were used. Generally, the Boolean operator “And” is employed between the two sets of keywords, and the “Or” is adopted within each group. Specifically, the first step was to use Boolean operator “Or” to combine the two sets of Mesh (cardiovascular diseases and metabolic diseases) and their corresponding synonyms, and then the Boolean operator “And” was applied to combine the Mesh of breakfast and its related synonyms. Besides, previous meta-analyses and systematic reviews were reviewed for comprehensive inclusion in the study. See Appendix 1 (Supplemental Digital Contentfor a detailed search strategy. [] 18 )
According to PICOS criteria, the inclusion criteria for the study were as follows:
Meanwhile, the exclusion criteria were shown below:
Data extraction and quality assessment
The following data, like the first author, the year of publication, the country, the duration of follow-up, the mean age, females, the sample size, exposure assessment, CVD/MetD assessment, intervention (breakfast frequency), control (breakfast frequency), outcomes, and main findings, were extracted with a unified data list made by two independent reviewers (Li and Liu). Any disagreements and disputes in the process of data extraction shall be resolved through negotiation. Besides, the Newcastle-Ottawa scale (NOS)was adopted to assess the quality of the study, with a total score of 9. To be specific, it is believed that studies with a NOS score over 6 stars are of high quality, while those with a NOS score below 6 stars are considered as low-quality ones. [] 19
Statistical analysis
Our primary outcomes would focus on the risk of cardiovascular and metabolic diseases, as well as specific diseases such as hypertension, type 2 diabetes mellitus, obesity, and strokes. Broadly speaking, the HR was equivalent to the RR, and was thereby directly considered to be the RR.If necessary, use the following formula to convert ORs to RRs and calculate the corresponding 95% CIs. Relative risk=odds ratio/[(1 − P0) + (P0 × odds ratio)], where P0 indicated the incidence of outcomes in the unexposed group.Then, convert the standard error (SE) of the RR with the following formula: SElog(relative risk) = SElog(odds ratio) × log(relative risk)/log(odds ratio).In addition to that, if P0 was rare (< .05), ignore the differences among various measures of relative risk (e.g., OR, RR, and HR).All the results were shown by RRs. As the reference groups of each study were not identical, the frequency of breakfast was divided into the following five groups: ≤3 times/week, >3 times/week, 4 to 6 times/week, 0 to 6 times/week, and 7 times/week, to ensure homogeneity and effective consolidation of data. This group of one cohort 25 study was 0 to 4, and it was roughly classified as 0 to 3 for the effective combination of data. Besides that, the group with the lowest breakfast frequency was unified into the reference group through the Excel macro file made by Hamling et albased on Greenland and Longnecker's theory.In general, most studies reported specific breakfast frequency, but a few articles did not mention breakfast frequency. We contacted the original authors, and if relevant information was still not available, we would classify “Eats breakfast (yes) or eating breakfast” as 7 times per week and “Eats breakfast (No) or skipping breakfast” as 0 time per week. Besides, if the subject was specifically classified according to gender and age, we would tend to consider it as two studies. Statistical heterogeneity was assessed by usingstatistics, where 25%, 50%, and 75% ofvalues represented low, medium and high heterogeneity, accordingly.Ifwas ≤50%, the fixed-effect model would be adopted. Otherwise, the random effect-model would be adopted. If the confidence intervals of 95 are on one side of 1, we think there is a significant difference. Meanwhile, Begg's test was performed to evaluate the potential publication bias,and subgroup and sensitivity analysis were used to explore sources of potential heterogeneity. All data analyses were conducted by Stata SE12.0 software. [] 20 [] 21 [] 22 [] 23 [] 25 [] 26 2 2 [] 27 2 [] 28 P I I I
Ethical statement
The data analyzed in this study were extracted from previously published studies, and therefore ethical approval was not necessary.
Results
A total of 18,334 studies were identified from the four electronic databases, namely PubMed, Embase, the Cochrane Library, and Web of Science, as shown in Figure. No additional studies were added by manual search. Of the 18,334 studies, 17,090 were retained after 1,244 duplicated studies were excluded, and 16,976 unrelated studies were abandoned by screening titles or abstracts. After a detailed review on the full text of 123 studies, 108 studies were eliminated for the following specific reasons: 1
Finally, 14 cohort studieswere involved, and among them, 6 studies showed the relationship between breakfast frequency and T2DM; 5 studies revealed the risk of obesity; 4 studies reported the risk of hypertension; 3 studies indicated the risk of MetS and abdominal obesity, while 2 pointed out the risk of CVD, strokes, hypercholesterolemia, CVM, Low levels of high-density lipoprotein cholesterol (LHDL-c) and CHD. Tabledisplayed the detailed characteristics of the study. The quality assessment of the included studies was shown in Table. All the studies scored over 6 stars were featured with high quality. [,,,–] 7 9 24 29 39 1 2
The retrieval flow chart.
| Author, year | Country | Follow-up, year | Study design | Sample size, female (%) | Age, year | Exposure assessment | CVD/MetD assessment | Intervention (breakfast frequency) | Control (breakfast frequency) | Outcome | Main findings |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jaaskelainen et al2012[24] | Finland | 1986–2002 | Cohort study | 6247, 51% | 16 | Q | International Diabetes Federation paediatric definition | 7 | 0∼4 | Obesity | Among 16-year-olds, the five-meal-a-day pattern was robustly associated with reduced risks of overweight /obesity in both genders and abdominal obesity in boys. |
| Hypertension | |||||||||||
| HC | |||||||||||
| A-obesity | |||||||||||
| Sugimori et al1998[29] | Japan | 1976–1991 | Cohort study | 2573, 28% | 46.6 | Q | FBS≥ 110 mg/dL or DT | 1∼7 | 0 | T2DM | For females, breakfast skipping is positively associated with incidence of T2DM. |
| Uemura et al2014[30] | Japan | 2002–2011 | Cohort study | 4631, 22.3% | 47.6 | Q | FBG≥126 mg/dL, medical record | 1∼2 | 0 | T2DM | Breakfast skipping is positively associated with incidence of T2DM. |
| 3∼5 | |||||||||||
| 6 | |||||||||||
| 7 | |||||||||||
| Byrne et al2016[31] | USA | 2003–2012 | Cohort study | 10,248, 68.1% | 41.2 | Q | Concise Health Risk Assessment | 2∼3 | 0–1 | T2DM, | Top priorities for workplace health promotion should include low-fat diet, aerobic exercise, nonsmoking, and adequate sleep. |
| 4∼6 | CVD | ||||||||||
| 7 | Obesity | ||||||||||
| Stroke | |||||||||||
| Hypertension | |||||||||||
| HC | |||||||||||
| Odegaard et al2013[7] | USA | 1992–2011 | Cohort study | 3598, 55.7% | 32 | Q | BMI ≥ 30 kg/m2 | 4∼6, | 0–3 | T2DM | Daily breakfast intake is strongly associated with reduced risk of a spectrum of metabolic conditions. |
| SBP ≥ 140 mm Hg | 7 | Obesity | |||||||||
| DBP ≥ 90 mm Hg | Hypertension | ||||||||||
| NCEP-ATP III | MetS | ||||||||||
| FBG ≥ 6.99 mmol/L | A-obesity | ||||||||||
| 2 h PG ≥ 11.1 mmol/L | |||||||||||
| Cahill et al2013[32] | USA | 1992–2008 | Cohort study | 51,529, 0 | 58.6 | Q | Medical records or autopsy reports | 7 | 0 | CHD | Eating breakfast was associated with significantly lower CHD risk in this cohort of male health professionals. |
| Mekary et al2013[33] | USA | 2002–2008 | Cohort study | 121,700, 100% | 67.2 | Q | American Diabetes Association Criteria | 7 | 0–6 | T2DM | Irregular breakfast consumption was associated with a higher T2D risk in women |
| Rong et al2019[9] | China | 1988–2011 | Cohort study | 6550, 52% | 53.2 | Household Interview | ICD-9 | 1∼3 | 0 | CVM | Skipping breakfast was associated with a significantly increased risk of mortality from CVD. |
| ICD-10 | 4∼6 | ||||||||||
| 7 | |||||||||||
| Wennberg et al2014[34] | Sweden | 1981–2008 | Cohort study | 889, 52.2% | 43 | Q | International Diabetes Federation | 7 | 0 | MetS | Poor breakfast habits in adolescence predicted the metabolic syndrome in adulthood. |
| Hypertension | |||||||||||
| LHDL-c | |||||||||||
| A-obesity | |||||||||||
| Yokoyama et al2016[35] | Japan | 1988–2009 | Cohort study | 83,410, 59% | 40–79 | Q | ICD-10 | 7 | 0 | CVM | Our findings showed that skipping breakfast is associated with increasing risk of CVM. |
| ICD-9 | |||||||||||
| Kubota et al2016[36] | Japan | 1995–2010 | Cohort study | 82,772, 53.2% | 56.5 | Q | The criteria of the National Survey of Stroke | 7 | 0 | CVD | The frequency of breakfast intake was inversely associated with the risk of stroke |
| Stroke | |||||||||||
| CHD | |||||||||||
| Mekary et al2012[37] | USA | 1992–2008 | Cohort study | 29,206, 0% | 58.1 | Q | American Diabetes Association Criteria | 7 | 0 | T2DM | breakfast consumption was inversely associated with T2D risk in men |
| Wijtzes et al2016[38] | The Netherlands | 2y | Cohort study | 5913, 50.3% | 6 | Q | International Obesity Task Force | 7 | 0–6 | obesity | Breakfast skipping at age 4 years is associated with a higher percent fat mass at age 6 years |
| Kim et al2015[39] | Korea | 2001–2006 | Cohort study | 1228, 100% | 46.9 | Household Interview | NCEP-ATP III | 7 | 0 | MetS | Implications include the need for stronger emphasis on weight control before midlife and experiencing menopause |
| Selection | Outcome | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Study (author, year) | Exposed cohort | Nonexposed cohort | Ascertainment of exposure | Outcome of interest | Comparability | Assessment of outcome | Length of followup | Adequacy of follow-up | Total | |
| Jaaskelainen et al (2012) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Sugimori et al (1998) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 7 | ||
| Uemura et al (2014) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Byrne et al (2016) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Odegaard et al (2013) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 7 | ||
| Cahill et al (2013) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Mekary et al (2013) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Rong et al (2019) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Wennberg et al (2014) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 7 | ||
| Yokoyama et al (2016) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Kubota et al (2016) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Mekary et al (2012) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Wijtzes et al (2016) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 | |
| Kim et al (2015) | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | ∗ | 8 |
Meta-analysis
T2DM
Figureshows that six studies involved 171,956 participants in the current meta-analysis. Compared with people who had a breakfast frequency, those with the frequencyand frequencyhad a lower risk of T2DM (RR = 0.8 [95% CI: 0.7–0.91],= .142,= 37.6%) and (RR = 0.78 [95% CI: 0.68–0.89],= .227,= 30.9%), respectively. Besides, compared with people who had a breakfast frequencythose with a frequencywould significantly decrease the risk of inducing T2DM (RR = 0.79 [95% CI: 0.71–0.88],= .195,= 32%). However, risk for T2DM of those with a breakfast frequency4 to 6times/week would not be lower than that of those with a frequency ≤ 3 times/week (RR = 0.83 [95% CI: 0.61–1.13],= .104,= 55.8%). 2 ≤3times/week >3 times/week 7times/week , 0∼6times/week 7times/week P I P I P I P I 2 2 2 2
From the perspective of gender, as shown in Figure, the mixed population with a breakfast frequencywould have an obvious lower risk for T2DM than those with a frequency(RR = 0.72 [95% CI: 0.58–0.90],= .229,= 32.9%). Similarly, males with a breakfast frequency 7 times/week could have an obvious lower risk than those with a frequency(RR = 0.79 [95% CI: 0.65–0.96],= .233,= 29.8%). However, no significant association was found in females (RR = 0.59 [95% CI: 0.33–1.04],= .071,= 62.2%). 3 7times/week ≤0∼6times/week 0∼6times/week P I P I P I 2 2 2
Obesity, abdominal obesity
According to Figure, in five studies, 33,494 participants participated in the meta-analysis. Compared with people whose breakfast frequency was, those with a frequencywould have a decreasing risk for obesity (RR = 0.74 [95% CI: 0.59–0.94],< .001,= 89%). Besides, different from people who had a breakfast frequency of, those with a frequencycould obviously be featured with a low risk of suffering from obesity (RR = 0.65 [95% CI: 0.51–0.83],< .001,= 80.7%). Nevertheless, people who had a breakfast frequencywould not have a lower risk of getting obesity than those with a frequency(RR = 0.98 [95% CI: 0.74–1.31],= .035,= 77.6%). 4 ≤3times/week >3 times/week 0∼6times/week 7times/week 4∼6times/week ≤3times/week P I P I P I 2 2 2
It should be noted that people who had the breakfast frequencywould have a lower risk of inducing abdominal obesity than those with a frequency(RR = 0.86 [95% CI: 0.75–0.98],= .254,= 26.3%). 7times/week ≤3times/week P I 2
Forest map of the relationship between breakfast frequency and the risk of Obesity, Abdominal-obesity.
MetS, Low HDL Cholesterolemia (LHDL-c), HC
As shown in Figure, five studies included 22,210 participants in the meta-analysis. Compared with people having a breakfast frequency of, those with a frequencywould be featured with the decreasing risk of MetS (RR = 0.86 [95% CI: 0.75–0.99],= .512,= 0%) and LHDL-c (RR = 0.75 (95% CI: 0.61–0.93],= .643,= 0%) accordingly. 5 ≤3times/week >3 times/week P I P I 2 2
However, for HC, people having a breakfast frequencywould not have a lower risk than those with a frequency(RR = 0.72 [95% CI: 0.49–1.07],< .001,= 88.1%). Similarly, people with a breakfast frequencycould not reduce the risk of getting HC than those with a frequency(RR = 0.80 [95% CI: 0.61–1.05],< .001,= 87.6%). 7times/week ≤3times/week >3 times/week 3times/week ≤ P I P I 2 2
Forest map of the relationship between breakfast frequency and the risk of MetS, LHDL-c, HC.
CVD, CHD, and CVM
Figureindicated that five studies were with 160,014 participants in the meta-analysis. Compared with people having a breakfast frequency, those with a frequencywould significantly reduce the risk of CVD (RR = 0.87 [95% CI: 0.81–0.93],= .479,= 0%) and CVM (RR = 0.63 [95% CI: 0.51–0.78],= .396,= 0%), respectively. Similarly, people with a breakfast frequencywould have an obvious lower risk than those with a frequencyfor CVD (RR = 0.86 [95% CI: 0.77–0.95],= .199,= 39.3%) and CVM (RR = 0.68 [0.53–0.87],= .431,= 0%). 6 ≤3times/week >3 times/week 7times/week ≤3times/week P I P I P I P I 2 2 2 2
However, compared with people who had a breakfast frequency, those with a frequencywould not have a significant reducing risk for CHD (RR = 0.88 [95% CI: 0.76–1.01],= .214,= 35%). ≤ 3times/week >3 times/week P I 2
Forest map of the relationship between breakfast frequency and the risk of CVD, CHD, and CVM.
Hypertension, stroke
As shown in Figure, considering five studies, 103,754 participants were involved in the meta-analysis. Compared with people who had a breakfast frequency, those with a frequencywould have a lower risk of developing hypertension (RR = 0.92 [95% CI: 0.86–0.98],= .419,= 0.7%) and strokes (RR = 0.89 [95% CI: 0.79–0.99],= .238,= 29%), respectively. Similarly, people with a breakfast frequency ofwould see an obvious lower risk than those with a frequency offor hypertension (RR = 0.86 [95% CI: 0.79–0.94],= .995,= 0%) and strokes (RR = 0.87 [95% CI: 0.76–1.0],= .294,= 9.9%). 7 ≤3times/week >3 times/week 7times/week ≤3times/week P I P I P I P I 2 2 2 2
However, compared with people who had a breakfast frequency, those with a frequencycould not have a significantly reducing risk of inducing hypertension (RR = 1.01 [95% CI: 0.99–1.13],= .377,= 0%) and strokes (RR = 0.99 [95% CI: 0.66–1.48],= .079,= 67.6%). ≤3times/week 4∼6times/week P I P I 2 2
For T2DM, Figure S1 (Supplemental Digital Content) revealed the funnel plot of the comparison between higher breakfast frequency and lower breakfast frequency. Besides, Begg's test suggested that no significant publication bias was observed (.373). According to Figure S2 (Supplemental Digital Content), the sensitivity analysis showed that the pooled results changed slightly after each study was removed one by one. P =
For strokes, the funnel plot of the comparison between higher breakfast frequency and lower breakfast frequency was displayed in Figure S3 (Supplemental Digital Content). Besides, Begg's test revealed no obvious evidence of a publication bias (.929). As shown in Figure S4 (Supplemental Digital Content), from sensitivity analysis, it could be found that after each study was eliminated in sequence, the summary results changed slightly. P =
As for other specific cardiovascular or metabolic diseases, sensitivity and subgroup analysis could not be conducted due to the limited number of current studies.
Forest map of the relationship between breakfast frequency and the risk of Hypertension, Stroke.
Discussion
In this meta-analysis, 15 cohort studies were included, with 417,093 participants being involved, and it was indicated that regular breakfast habits (7 times/week) could significantly reduce the occurrence of cardiovascular and metabolic diseases, as well as such specific-diseases as T2DM, obesity, hypertension, strokes, hypercholesterolemia, MetS and abdominal obesity. Moreover, regular breakfast habits (7 times/week) yielded the maximum potential cardio-metabolic benefits, and even skipping breakfast once per week might reduce the benefits for T2DM, obesity, hypertension and strokes to a great extent. However, there was no significant correlation between regular breakfast habits and the occurrence of hypercholesterolemia. Besides, when stratified by gender, no significant correlation can be seen between regular breakfast habits and the risk for T2DM in females.
Breakfast is taken as the most important meal of a day, and irregular breakfast habits were associated with the occurrence of various cardiovascular and metabolic diseases. Several meta-analyseshave revealed breakfast skipping was closely related to the occurrence of T2DM or obesity. However, most of these studies were cross-sectional, which might weaken the evidence value when being compared with cohort studies. Moreover, few studies have focused on the relationship between breakfast and other specific cardio-metabolic diseases. Diet patterns and physical activity go hand in hand with human health. Recently, Kwok et alhave comprehensively investigated the relationship between dietary components and cardiovascular mortality, and then they found many dietary components appear to be beneficial to cardiovascular disease and mortality, including fish, grains, vegetables and nuts, but tinned fruit and processed meat seem to be harmful. Musse et alpointed out that within 30 days after hospital discharge, the association between skipping breakfast concomitant and late-night dinner increased the likelihood of death, reinfarction, and postinfarction angina four to five times. Simultaneously, Cheng et alsystematically analyzed the relationship between physical activity and cardiovascular mortality, and it was shown that leisure-time physical activity shows a linearly negative correlation with the risk of cardiovascular mortality. In a sense, the current meta-analyses have enriched previous studies. [–] 39 42 [] 43 [] 44 [] 45
In the long process of human evolution, regular eating not only keeps the body at a stable rhythm, but also gradually forms a specific circadian rhythm system and the internal clock, whereas it has been reported that irregular breakfast is a key factor affecting the biological clock.Besides, the effects of breakfast frequency on cardio-metabolic diseases might be explained by the following potential mechanisms. First, irregular breakfast is deemed to be a sign of unhealthy eating patterns and lifestyles, which might be a long-term behavior from childhood to adulthood.Recently, several studieshave indicated that irregular breakfast can significantly decrease satiety, thus leading people to eat more at lunch, which will further increase the production of hunger-related hormones that are associated with higher glucose responses and obesity. Secondly, breakfast eating behavior may have a mediating effect on subsequent metabolic outcomes. Studies conducted by Wennberg et al and Nas et alhave shown that irregular breakfast could result in inflexibility in the metabolic system, thus causing an increase in postprandial hyperglycemia and fat oxidation, while the release rhythm of insulin in the body would not be altered, thus resulting in a low inflammatory state and the impaired blood glucose regulation system. Besides, the study by Myers C et al.showed that the consumption of nutritionally matched fruit smoothie at breakfast did not affect acute dietary intake, yet the effects of consuming fruit smoothie instead of cereal for breakfast on body weight and health biomarkers to be further clarified. Similarly, the study by Rosi A et alshowed that food patterns at lunch did not alter after consuming different categories of breakfast, and further work is needed on the effect on the amount of food consumed at lunch. [,] 46 47 [,] 48 49 [–] 50 52 [,] 53 54 [] 55 [] 56
Thirdly, the study conducted by Uzhova et alsuggested that irregular breakfast habits might have an impact on lipid levels, increase atherosclerotic LDL levels, and further cause atherosclerosis that leaded to cardiovascular disease, which was similar to our conclusions. However, no relationship was found between breakfast and hypercholesterolemia in our meta-analysis, which might be related to the current high-energy dietary structure similar to the results of a recent national survey by Jung et alsuggesting that lower breakfast frequency was related with metabolic syndrome in men, yet there is no significant association in women. Recently, Yao et alconducted a meta-analysis of the effect of fatty acid composition in breakfast on postprandial lipids, and the results showed that triglyceride after breakfast was not significantly altered regardless of saturated or unsaturated fatty acid composition. However, when a subgroup analysis was performed with 8 h as the cut-off, it was shown that triglyceride levels were decreased until 8 h after the ones having breakfast with saturated acid composition, while triglyceride levels were increased after 8 h after after those having breakfast with unsaturated acid composition. In addition, there may be a cumulative temporal relationship between irregular breakfast behavior and subsequent disease onset, and more research is needed to further explain these complex mechanisms. Fourthly, skipping breakfast can also affect the regulation of hypothalamic-pituitary-adrenal axis on blood pressure, further causing hypertension in the morning. [] 57 [] 58 [] 59 [,] 60 61
Based on the current meta-analysis, this paper has the following advantages. First, this is the first systematic analysis on specific metabolic diseases, and all related specific diseases were reported in the original study. Secondly, four electronic databases were retrieved, and previous meta-analyses were reviewed to ensure the most comprehensive inclusion of the studies. In addition, all studies mentioned here were cohort ones, which guaranteed the evidence value. Thirdly, the included studies were featured with large sample size and high quality.
Inevitably, the present meta-analysis possesses the following limitations. First, although most studies have adjusted the maximum mixed variable, the influence of residual confounding factors could not be excluded. Secondly, due to the limited number of current studies, sensitivity and subgroup analysis could not be conducted for explaining the high heterogeneity among several studies. Thirdly, in most of the studies, questionnaires were adopted to record the frequency of breakfast. In this case, the influence of subjective factors on the results of the studies could not be ruled out. Finally, as the included studies were mainly limited to Asia, Europe and the Americas, the impact on other regions remains unknown.
Conclusions
It can be concluded that daily eating habits would bring the greatest cardio-metabolic benefits, reducing the risk of T2DM, obesity, hypertension, etc, yet not be significantly related to hypercholesterolemia.
Author contributions
ZH Li, LX, and RD have contributed equally to this work.
Zhi-Hui Li had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
: zhi-hui, li-jie and Wang. Acquisition, analysis, or interpretation of data
: zhi-hui. Administrative, technical, or material support
zhi-hui, xu, and Wang. Concept and design:
Zhi-hui Li, lei Xu. Conceptualization:
: All authors. Critical revision of the manuscript for important intellectual content
Zhi-hui Li, li-jie Li. Data curation:
: All authors. Drafting of the manuscript
Zhi-hui Li, lei Xu, rao dai, li-jie Li, haojie wang. Formal analysis:
rao dai. Funding acquisition:
lei Xu, li-jie Li. Investigation:
Zhi-hui Li, lei Xu, haojie wang. Methodology:
: None. Obtained funding
lei Xu. Project administration:
rao dai. Resources:
: Li, liu. Statistical analysis
rao dai, zhi-hui. Supervision:
Zhi-hui Li. Writing – original draft:
Zhi-hui Li. Writing – review & editing: