Skip to main content

Breakfast consumption frequency is associated with dyslipidemia: a retrospective cohort study of a working population



Dyslipidemia is a significant contributor to cardiovascular and cerebrovascular diseases. Research on the relationship between breakfast consumption frequency and dyslipidemia in the working population is lacking. Therefore, we aimed to investigate this relationship based on a retrospective cohort study of a large working population in China.


This retrospective cohort study used data from the physical examinations and questionnaire survey of working participants at Nanfang Hospital from January 20, 2015 to October 16, 2020. Univariate and multivariate analyses were conducted to explore the relationship between breakfast consumption frequency and dyslipidemia in this working population (n = 7644).


The prevalence of dyslipidemia among the participants was 26.4%. The univariate logistic regression test showed that the breakfast consumption frequency was inversely correlated with dyslipidemia. After adjusting for multiple factors, such as sex, age, body mass index, hypertension, hyperuricaemia, diabetes, smoking status, alcohol consumption, education level, marital status, long-term exposure to kitchen oil fumes, attending business dinners, and sleep time, it was found that breakfast consumption remained inversely associated with dyslipidaemia. The odds ratio for daily breakfast consumption was 0.466 (95% confidence interval 0.283–0.770, P = 0.003). After adjusting for confounding factors, we found that the higher the frequency of breakfast consumption, the lower the odds ratios for hypertriglyceridaemia.


This study demonstrated that breakfast consumption frequency was inversely correlated with dyslipidemia. The higher the frequency of breakfast, the lower the risk of hypertriglyceridaemia. This study provides a basis on which dietary suggestions for the working population and lifestyle guidance for patients with a clinical need to prevent dyslipidemia can be made.


Dyslipidemia is the main risk factor for atherosclerotic cardiovascular disease [1]. A study showed the changes in per capita blood cholesterol content from 1980 to 2018, involving 102.6 million adults from more than 200 countries worldwide. Dyslipidemia has become a major public health problem in China. A study used data from the ChinaPatient-Centered Evaluative Assessment of Cardiac Events Million Persons Project shows that one third of 35-75-year-old community residents in China suffer from dyslipidemia [2].

Many epidemiological and observational studies have demonstrated a relationship between diet, lifestyle factors, and dyslipidemia [3,4,5,6]. According to several studies, irregular diet is directly related to several cardiometabolic health outcomes, including obesity, weight gain, dyslipidemia, hypertension, diabetes, and others [7, 8]. Many studies have investigated the relationship between eating habits and metabolic syndrome [9,10,11]. With social and economic development, the eating habits and lifestyles of Chinese individuals have undergone significant changes, especially those of working people. According to surveys, changes in eating habits are associated with the incidence of metabolic syndrome and contribute to the risk of cardiovascular and cerebrovascular diseases [12,13,14]. The working population comprises mostly young to middle-aged people. The influence of dietary habits on dyslipidemia may aggravate the risk of cardiovascular and cerebrovascular diseases, and the impact on socioeconomics cannot be ignored. It is generally believed that breakfast is the most important meal of the day. However, there have been studies on the increasing prevalence of breakfast skipping, such as that from the United States, which reported that the prevalence has increased over the past 50 years, with up to 23.8% of young people skipping breakfast daily [15, 16]. It has been reported that skipping breakfast is related to adolescent cardiometabolic risk factors such as an altered lipid profile [17]. Previous studies have found that metabolic syndrome is inversely related to breakfast consumption frequency [13, 18]. Weight gain is also associated with the consumption of breakfast [14, 19, 20]. However, research on the relationship between breakfast consumption frequency and dyslipidemia in the working population is lacking. Therefore, this study investigated this relationship based on a retrospective cohort study of a large working population in China.


Research population and data collection

This cohort was derived using the Guangdong Provincial Key Area R&D Program (2019B020227004) for large-scale cohort study and clinical sample bank and database construction. From 20 January to 2015 to 16 October 2020, a total of 8287 people underwent physical examinations and completed questionnaire surveys at Nanfang Hospital, and we retrospectively collected these data. Physical examination included measuring height, weight, and detection of serum lipids. Data on demographic information, educational level, marital status, medical history of hypertension and diabetes, frequency of eating breakfast, sleep time, exposure to kitchen oil fumes, and business dinner attendance were collected using questionnaires managed by well-trained interviewers. Breakfast consumption frequency was assessed by the question. “How often do you have breakfast?” Answers were categorized as “never”, “1–3 times per week”, “4–6 times per week”, or “everyday”. Participants who consume breakfast less than four times per week were defined as “breakfast skippers” [21]. Physical measurements, such as height and weight were performed according to standard protocols. Data on the participants’ fasting plasma levels were collected, and blood lipid as well as uric acid parameters were recorded. Blood lipid parameters comprised total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), and triglyceride (TG). Participants aged ≥ 18 years old who underwent physical examinations and completed questionnaire surveys were included. Participants with missing data on variables such as height and weight, education level, sleep, diet, job type, blood lipid parameters, and blood pressure were excluded. The final study sample comprised 7644 participants (4440 men, 3204 women).

Dyslipidemia assessment

Dyslipidemia was determined according to the 2013 ACC/AHA guideline. High TC was defined as TC ≥ 6.2 mmol/L, high LDL-C as LDL-C ≥ 4.1 mmol/L, low HDL-C as HDL-C < 1.0 mmol/L, and high TG as TG ≥ 2.3 mmol/L [22].

Statistical analyses

The participants were divided into two groups: those with dyslipidemia and those without dyslipidemia. An independent sample t-test, chi-square test, or Mann-Whitney U test was used to assess the correlation between dyslipidemia and categorical or continuous variables. Odds ratios (ORs) were used to evaluate the independent and combined effects of breakfast consumption frequency on the prevalence of dyslipidemia. A logistic regression model was used for univariate and multivariate analyses to determine the variables related to dyslipidemia. The ORs for dyslipidemia and the variables were calculated, with corresponding 95% confidence intervals (CIs). The variables were adjusted to compare the ORs for dyslipidemia and hypertriglyceridaemia between the different models. All tests were two-sided, and a P value < 0.05 was considered statistically significant. All statistical analyses were performed using SPSS version 26.0 software (IBM Corp., Armonk, NY, USA).


Baseline characteristics

The flow chart of this study is shown in Fig. 1. In total, 7644 people participated in this study, of whom 2018 (26.4%) had dyslipidemia, with 1614 (80.0%) being men and 404 (20.0%) being women. Table 1 shows the characteristics of participants with and without dyslipidemia. Of the total population, 61.1% were aged between 30 and 49 years. The proportion of participants who had dyslipidemia was higher among the elderly and those with BMI ≥ 24 kg/m2, low education, and long-term exposure to kitchen oil fumes. Compared with participants without dyslipidemia, those with dyslipidemia had higher prevalence rates of hypertension and hyperuricaemia. Compared with that of participants without dyslipidemia, the proportion of participants with dyslipidemia who were married/cohabiting was higher (77.8%) and the proportion of unmarried people with dyslipidemia was lower (19.9%). Regarding sleep, the proportion of people who sleep more than 7 h per day was lower among patients with dyslipidemia (28.0%), compared with those without dyslipidemia (30.3%). In addition, dyslipidemia was associated with business dinner attendance (P < 0.001). Of the participants, 770 (10.1%) were breakfast skippers while 6874 (89.9%) consumed breakfast regularly. The prevalence rates of dyslipidemia in breakfast skippers and non-breakfast skippers were 24.4% and 24.1% respectively. Figure 2 presents the prevalence of dyslipidemia in the total population and in different sex ad age groups, as well as the prevalence of hypertriglyceridaemia in participants with dyslipidemia. Table 2 shows descriptive analysis of the lipid profiles of breakfast skippers and those who consume breakfast regularly.

Fig. 1
figure 1

Flowchart of the patients included in the study. HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; TC: total cholesterol; TG: triglycerides

Table 1 Baseline characteristics of participants with and without dyslipidemia
Fig. 2
figure 2

Prevalence of dyslipidemia in the population (A) and in different sex groups (B) and age groups (C). Prevalence of hypertriglyceridaemia in the population with dyslipidemia (D) and in different sex groups (E) and age groups (F). TG: triglycerides

Table 2 Lipid profile in different group of breakfast frequency (Mean ± SD)

Univariate and multivariate analyses

Table 3 presents the outcome of the univariate and multivariate analyses of the risk of dyslipidemia. The univariate analysis showed that older age, male sex, higher BMI, hyperuricaemia, current smoker, alcohol consumption, and long-term exposure to kitchen oil fumes were directly correlated with dyslipidemia. Increased frequency of breakfast consumption, decreased frequency of business dinner attendance, being unmarried, having high education level, and an increased length of sleep time per day were related to a lower risk of dyslipidemia. Compared with that of those who did not eat breakfast, the OR for those who consumed breakfast daily was 0.591 (95% CI 0.377–0.928, P = 0.022). Higher frequency of business dinner attendance was directly related to increased dyslipidemia.

Table 3 Univariate and Multivariate analysis of risk factors for dyslipidemia

In the multivariate analysis, the variables with P < 0.05 in the univariate analysis were included (age, sex, BMI, education, hyperuricaemia, hypertension, smoking, alcohol consumption, marital status, breakfast consumption frequency, long-term contact with kitchen oil smoke, business dinner attendance, and daily sleep time). Diabetes was also incorporated into multivariate analysis. It was found that breakfast consumption remained inversely correlated with dyslipidemia, and the OR for daily breakfast consumption was 0.466 (95% CI 0.283–0.770, P = 0.003).

Adjusted variable analysis

Table 4 includes different variables to analyse the OR for breakfast consumption frequency and different types of dyslipidemia. Model 1 was a crude model; Model 2 was adjusted for sex and age; Model 3 was adjusted for sex, age, BMI, hypertension, hyperuricaemia, and diabetes; and Model 4 was adjusted for smoking, alcohol consumption, education, marital status, long-term exposure to kitchen oil fumes, business dinner attendance, and daily sleep time based on Model 3. It was found that the breakfast consumption frequency was inversely related to hypertriglyceridaemia in Model 4. Figure 3 shows the ORs for dyslipidemia and hypertriglyceridaemia across breakfast consumption frequency categories in different models. In Model 4, as the breakfast consumption frequency increased, the OR became lower.

Table 4 Odds ratios (95% CI) of different types of dyslipidemia across breakfast consumption frequency
Fig. 3
figure 3

Odds ratios (95% confidence intervals) of dyslipidemia (A) and hypertriglyceridaemia (B) across breakfast consumption frequency categories. Model 1: crude model. Model 2: adjusted for age and sex. Model 3: model 2 plus adjusted for BMI, hypertension, hyperuricaemia, and diabetes. Model 4: model 3 plus adjusted for smoking, alcohol consumption, education, marital status, long-term contact kitchen oil fumes, business dinner attendance, and daily sleep time. CI: confidence interval; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; OR: odds ratio; TC: total cholesterol; TG: triglycerides


In this large study population, epidemiological evidence obtained using the retrospective cohort study design indicated that skipping breakfast was related to an elevated risk of dyslipidemia in a working population; the higher the breakfast consumption frequency, the less likely it is for triglyceride levels to be high. This result echoes the findings of many previous studies. Takebe et al. reported that, in participants aged older than 20 years, skipping breakfast was correlated with weight gain (OR 1.252, compared with a regular breakfast) [14]. A cross-sectional study in Iran showed that, among adult participants, breakfast consumption habits had a significant negative impact on the occurrence of metabolic syndrome (OR = 0.38) [13]. A South Korean study reported that consuming breakfast less frequently increases the risk of dyslipidemia [23].

In the multivariate analysis, hyperuricaemia was found to be associated with dyslipidemia. Previous studies have also reported that people with dyslipidemia have a higher prevalence of hypertension and hyperuricaemia than those without dyslipidemia [24, 25]. According to the results, dyslipidemia was more common in individuals with overweight/obesity, males, and elderly individuals, which is concordant with the outcome of previous studies [26,27,28]. Many studies have explored the relationship between breakfast consumption and cardiovascular disease. In a large cohort with 17–23 years of follow-up, skipping breakfast was linked to a notable increased risk of mortality from cardiovascular disease [29]. Furthermore, higher risks of cardiovascular disease, including coronary heart disease [30], stroke and haemorrhage [31], and subclinical atherosclerosis [32] were related to skipping breakfast. However, no significant correlation was found between hypertension and dyslipidemia in multivariate analysis. This may be because the information on hypertension was self-reported, and there were participants who did not realize they had high blood pressure. It has been reported that patients with diabetes have a higher prevalence of dyslipidemia, but this association was not found in the current study [33].

Univariate analysis showed that frequent social outings and long-term exposure to kitchen oil fumes were linked to a higher risk of dyslipidaemia; however, in the multivariate analysis, this significance disappeared. This study revealed that daily sleep time was related to the risk of dyslipidemia, and many previous reports have confirmed this result. People who sleep for a sufficient amount of time are less likely to have dyslipidemia than those whose sleep duration is insufficient [34]. This study showed that marital status was related to dyslipidemia. Compared with married people, unmarried people had a lower risk of having dyslipidemia; when adjustments were made for sex and age, marriage was still related to blood lipid levels. Research in this area is relatively scarce, and the relationship between marital status and dyslipidemia needs to be explained in future research.

The relationship between breakfast consumption and weight or obesity remains unclear. Some studies have shown that breakfast skipping has an insignificant role in weight gain or weight loss [35,36,37]. Other studies have shown that breakfast consumption frequency is related to obesity or overweight [38,39,40]. The type of breakfast has to be considered in determining the substantial effect on weight gain and weight loss [41]. Compared with the current study, these previous studies may have had fewer participants, and the variation in the age and sex of the population was limited.

The reasons that breakfast consumption frequency affects blood lipid levels is unclear. Previous studies have reported that skipping breakfast leads to poor daily nutrient intake, with a higher proportion of energy from fats and a higher risk of metabolic syndrome [42, 43]. The consumption of regular meals has been shown to contribute to improved body composition and metabolic status [20].

Comparisons with other studies and what the current study add to the existing knowledge

The incidence of dyslipidemia as well as other risk factors in this Asian cohort is similar to those reported in other recent large contemporary trials [44, 45]. This research found that among the large working population, older age, obesity, male sex, hyperuricaemia, smoking, alcohol consumption, and insufficient sleep were associated with dyslipidemia. An inverse relationship between breakfast consumption and dyslipidemia was found in this Asian working population.

Study strengths and limitations

This study has several advantages. This research explored the impact of breakfast consumption frequency on dyslipidemia in a relatively large working population in China. Many confounding factors that may have affected dyslipidemia were considered and controlled for. Previous studies have reported a relationship between lifestyle habits and blood lipid levels in general populations. The study cohort herein was composed of the working population in South China. The findings of this research may have important implications for working people’s lifestyles. An association of breakfast intake with cardiovascular disease has been reported in previous studies; thus, the results have certain guiding implications for patients who clinically need to prevent dyslipidemia.

There are some limitations to this research. First, the study used a single-centre retrospective cohort design and could not provide a reliable source of causality. Second, data on eating habits and disease history were self-reported. hence may be subjected to recall bias. Third, we did not collect data on the type of breakfast, which may have relevant effects on the lipid profile. Fourth, this study did not collect data on participants’ use of lipid-lowering drugs. Finally, due to unknown or unmeasurable factors, the influence of confounding factors could not be fully controlled.


In summary, this study provided evidence that there is an inverse relationship between breakfast consumption and dyslipidemia in a working population. The higher the breakfast consumption frequency, the lower the risk of hypertriglyceridaemia. The results of this study can be used to provide suggestions on dietary habits for the working population and also to provide lifestyle guidance for patients with a clinical need to prevent dyslipidaemia.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



Body mass index


Confidence interval


High-density lipoprotein cholesterol




Low-density lipoprotein cholesterol


Odds ratio


Total cholesterol




  1. Kopin L, Lowenstein C. Dyslipidemia. Ann Intern Med. 2017;167(11):C81–96.

    Google Scholar 

  2. Lu Y, Zhang H, Lu J, et al. Prevalence of Dyslipidemia and Availability of Lipid-Lowering Medications Among Primary Health Care Settings in China. JAMA Network Open. 2021;4(9):e2127573.

    PubMed  PubMed Central  Google Scholar 

  3. Nakanishi N, Nakamura K, Suzuki K, Tatara K. Lifestyle and the development of dyslipidemia: a 4-year follow-up study of middle-aged Japanese Male Office Workers. Environ Health Prev Med. 1999;4(3):140–45.

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Trautwein EA, McKay S. The Role of Specific Components of a Plant-Based Diet in Management of Dyslipidemia and the Impact on Cardiovascular Risk. Nutrients. 2020;12(9):2671.

    CAS  PubMed Central  Google Scholar 

  5. Pedersen LR, Olsen RH, Anholm C, et al. Effects of 1 year of exercise training versus combined exercise training and weight loss on body composition, low-grade inflammation and lipids in overweight patients with coronary artery disease: a randomized trial. Cardiovasc Diabetol. 2019;18(1):127.

    PubMed  PubMed Central  Google Scholar 

  6. Thorning TK, Raziani F, Bendsen NT, Astrup A, Tholstrup T, Raben A. Diets with high-fat cheese, high-fat meat, or carbohydrate on cardiovascular risk markers in overweight postmenopausal women: a randomized crossover trial. Am J Clin Nutr. 2015;102(3):573–81.

    CAS  PubMed  Google Scholar 

  7. Song WO, Chun OK, Obayashi S, Cho S, Chung CE. Is consumption of breakfast associated with body mass index in US adults? J Am Diet Assoc. 2005;105(9):1373–82.

    PubMed  Google Scholar 

  8. van der Heijden AA, Hu FB, Rimm EB, van Dam RM. A prospective study of breakfast consumption and weight gain among U.S. men. Obesity (Silver Spring). 2007;15(10):2463–69.

    Google Scholar 

  9. Yoshida J, Eguchi E, Nagaoka K, Ito T, Ogino K. Association of night eating habits with metabolic syndrome and its components: a longitudinal study. BMC Public Health. 2018;18(1):1366.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Song Y, Lee K. Eating behavior and metabolic syndrome over time. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity. 2020;25(3):545–52.

    Google Scholar 

  11. López-Contreras IN, Vilchis-Gil J, Klünder-Klünder M, Villalpando-Carrión S, Flores-Huerta S. Dietary habits and metabolic response improve in obese children whose mothers received an intervention to promote healthy eating: randomized clinical trial. BMC Public Health. 2020;20(1):1240.

    PubMed  PubMed Central  Google Scholar 

  12. Kim H, Lee K, Rebholz CM, Kim J. Plant-based diets and incident metabolic syndrome: Results from a South Korean prospective cohort study. Plos Med. 2020;17(11):e1003371.

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Lorzadeh E, Sangsefidi ZS, Mirzaei M, Hosseinzadeh M. Dietary Habits and their Association with Metabolic Syndrome in a sample of Iranian adults: A population-based study. Food Sci Nutr 2020;8(11):6217–25.

    PubMed  PubMed Central  Google Scholar 

  14. Takebe N, Tanno K, Ohmomo H, et al. Weight Gain After 20 Years of Age is Associated with Unfavorable Lifestyle and Increased Prevalence of Metabolic Disorders. Diabetes Metab Syndr Obes. 2021;14(2065–75.

    PubMed  PubMed Central  Google Scholar 

  15. Deshmukh-Taskar P, Nicklas TA, Radcliffe JD, O’Neil CE, Liu Y. The relationship of breakfast skipping and type of breakfast consumed with overweight/obesity, abdominal obesity, other cardiometabolic risk factors and the metabolic syndrome in young adults. The National Health and Nutrition Examination Survey (NHANES): 1999–2006. Public Health Nutr. 2013;16(11):2073–82.

    PubMed  Google Scholar 

  16. Kant AK, Graubard BI. 40-year trends in meal and snack eating behaviors of American adults. J Acad Nutr Diet. 2015;115(1):50–63.

    PubMed  Google Scholar 

  17. de Souza MR, Neves M, Souza AM, et al. Skipping breakfast is associated with the presence of cardiometabolic risk factors in adolescents: Study of Cardiovascular Risks in Adolescents - ERICA. Br J Nutr. 2021;126(2):276–84.

    PubMed  Google Scholar 

  18. Odegaard AO, Jacobs DR, Steffen LM, Van Horn L, Ludwig DS, Pereira MA. Breakfast Frequency and Development of Metabolic Risk. Diabetes Care. 2013;36(10):3100–06.

  19. Mustafa N, Abd Majid H, Toumpakari Z, et al. The Association of Breakfast Frequency and Cardiovascular Disease (CVD) Risk Factors among Adolescents in Malaysia. Nutrients. 2019;11(5):973.

    CAS  PubMed Central  Google Scholar 

  20. Szajewska H, Ruszczynski M. Systematic review demonstrating that breakfast consumption influences body weight outcomes in children and adolescents in Europe. Crit Rev Food Sci Nutr. 2010;50(2):113–19.

    PubMed  Google Scholar 

  21. Kito K, Kuriyama A, Takahashi Y, Nakayama T. Impacts of skipping breakfast and late dinner on the incidence of being overweight: a 3-year retrospective cohort study of men aged 20–49 years. J Hum Nutr Diet. 2019;32(3):349–55.

    CAS  PubMed  Google Scholar 

  22. Stone NJ, Robinson JG, Lichtenstein AH, et al. ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63(25 Pt B): 2889–934.

  23. Lee DW, Choi DW, Ju YJ, Lee SA, Park EC. The association between low frequency of having breakfast and dyslipidemia in South Korean men and women. Eur J Clin Nutr. 2019;73(6):896–904.

    CAS  PubMed  Google Scholar 

  24. Peng TC, Wang CC, Kao TW, et al. Relationship between hyperuricemia and lipid profiles in US adults. Biomed Res Int. 2015;2015(127596.

    PubMed  PubMed Central  Google Scholar 

  25. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Invest. 2011;121(6):2111–17.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Berberich AJ, Hegele RA. A modern approach to dyslipidemia. Endocr Rev. 2021:bnab037.

  27. Arpón A, Milagro FI, Santos JL, García-Granero M, Riezu-Boj JI, Martínez JA. Interaction Among Sex, Aging, and Epigenetic Processes Concerning Visceral Fat, Insulin Resistance, and Dyslipidaemia. Front Endocrinol (Lausanne). 2019;10:496.

    Google Scholar 

  28. Kuwabara M, Kuwabara R, Niwa K, et al. Different Risk for Hypertension, Diabetes, Dyslipidemia, and Hyperuricemia According to Level of Body Mass Index in Japanese and American Subjects. Nutrients. 2018;10(8):1011.

    PubMed Central  Google Scholar 

  29. Rong S, Snetselaar LG, Xu G, et al. Association of Skipping Breakfast With Cardiovascular and All-Cause Mortality. J Am Coll Cardiol. 2019;73(16):2025–32.

    PubMed  Google Scholar 

  30. Cahill LE, Chiuve SE, Mekary RA, et al. Prospective Study of Breakfast Eating and Incident Coronary Heart Disease in a Cohort of Male US Health Professionals. Circulation. 2013;128(4):337–43.

    PubMed  PubMed Central  Google Scholar 

  31. Kubota Y, Iso H, Sawada N, Tsugane S. Association of Breakfast Intake With Incident Stroke and Coronary Heart Disease: The Japan Public Health Center-Based Study. Stroke. 2016;47(2):477–81.

    PubMed  Google Scholar 

  32. Uzhova I, Fuster V, Fernández-Ortiz A, et al. The Importance of Breakfast in Atherosclerosis Disease: Insights From the PESA Study. J Am Coll Cardiol. 2017;70(15):1833–42.

    PubMed  Google Scholar 

  33. Maahs DM, Dabelea D, D’Agostino RJ, et al. Glucose control predicts 2-year change in lipid profile in youth with type 1 diabetes. J Pediatr. 2013;162(1):101–07.

    CAS  PubMed  Google Scholar 

  34. Wang D, Chen J, Zhou Y, et al. Association between sleep duration, sleep quality and hyperlipidemia in middle-aged and older Chinese: The Dongfeng–Tongji Cohort Study. Eur J Prev Cardiol. 2019;26(12):1288–97.

    PubMed  Google Scholar 

  35. Dhurandhar EJ. True, true, unrelated? A review of recent evidence for a causal influence of breakfast on obesity. Curr Opin Endocrinol Diabetes Obes. 2016;23(5):384–88.

    CAS  PubMed  Google Scholar 

  36. Kim JH, So WY. Association between Frequency of Breakfast Eating and Obesity in Korean Adolescents. Iran J Public Health. 2012;41(6):50–57.

    PubMed  PubMed Central  Google Scholar 

  37. Küpers LK, de Pijper JJ, Sauer PJ, Stolk RP, Corpeleijn E. Skipping breakfast and overweight in 2- and 5-year-old Dutch children-the GECKO Drenthe cohort. Int J Obes (Lond). 2014;38(4):569–71.

    Google Scholar 

  38. Ma X, Chen Q, Pu Y, et al. Skipping breakfast is associated with overweight and obesity: A systematic review and meta-analysis. Obes Res Clin Pract. 2020;14(1):1–08.

    PubMed  Google Scholar 

  39. So HK, Nelson EA, Li AM, et al. Breakfast frequency inversely associated with BMI and body fatness in Hong Kong Chinese children aged 9–18 years. Br J Nutr. 2011;106(5):742–51.

    CAS  PubMed  Google Scholar 

  40. Martínez CF, Ortiz-Panozo E, Mattei J, Campos H, Flores-Aldana M, Lajous M. Breakfast Frequency Is Inversely Associated with Weight Gain in a Cohort of Mexican Women. J Nutr. 2021;151(2):405–11.

    PubMed  Google Scholar 

  41. Deshmukh-Taskar PR, Nicklas TA, O’Neil CE, Keast DR, Radcliffe JD, Cho S. The relationship of breakfast skipping and type of breakfast consumption with nutrient intake and weight status in children and adolescents: the National Health and Nutrition Examination Survey 1999–2006. J Am Diet Assoc. 2010;110(6):869–78.

    CAS  PubMed  Google Scholar 

  42. Chung SJ, Lee Y, Lee S, Choi K. Breakfast skipping and breakfast type are associated with daily nutrient intakes and metabolic syndrome in Korean adults. Nutr Res Pract. 2015;9(3):288–95.

    PubMed  PubMed Central  Google Scholar 

  43. Zeballos E, Todd JE. The effects of skipping a meal on daily energy intake and diet quality. Public Health Nutr. 2020;23(18):3346–55.

    PubMed  Google Scholar 

  44. Valgimigli M, Gragnano F, Branca M, et al. P2Y12 inhibitor monotherapy or dual antiplatelet therapy after coronary evascularisation: individual patient level meta-analysis of randomised controlled trials. BMJ. 2022;376:o239.

    Google Scholar 

  45. Cesaro A, Gragnano F, Calabrò P, et al. Prevalence and clinical implications of eligibility criteria for prolonged dual antithrombotic therapy in patients with PEGASUS and COMPASS phenotypes: Insights from the START-ANTIPLATELET registry. Int J Cardiol. 2021;345(7–13.

    PubMed  Google Scholar 

Download references


We would like to thank Editage ( for English language editing.


This work was supported by the National Nature Science Foundation of China (Grant Nos. 81773008, 81972897), Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education (Grant No. LC2019ZD003), Key-Area Research and Development Program of Guangdong Province (Grant No. 2019B020227004), China Postdoctoral Science Foundation (No.2021M701629), and the Science and Technology Program of Guangzhou (202103000037).

Author information

Authors and Affiliations



Conception and design: QML, CKW; Administrative support: LL, WYL, LSX; Provision of study materials or patients: PCM, HC; Collection and assembly of data: CH, RNL, LZ, SWL; Data analysis and interpretation: QML, CKW, PCM, HC; Manuscript writing: All authors; Final approval of manuscript: All authors. The author(s) read and approved the final manuscript.

Corresponding authors

Correspondence to Lu-shan Xiao, Li Liu or Wen-yuan Li.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Medical Ethics Committee of Nanfang Hospital, Southern Medical University (NFEC-2019-161).

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Table S1.

Statistical results of all participants' blood lipid parameters.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Li, Qm., Wu, Ck., Ma, Pc. et al. Breakfast consumption frequency is associated with dyslipidemia: a retrospective cohort study of a working population. Lipids Health Dis 21, 33 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI:


  • Breakfast
  • Dyslipidemia
  • Hypertriglyceridaemia
  • Working population
  • Diet
  • Regression analysis