- Research Note
- Open access
- Published:
The relationship between the intake of fruits, vegetables, and dairy products and dyslipidemia in STEPs study
BMC Research Notes volume 18, Article number: 59 (2025)
Abstract
Objective
Due to the contradictory findings and the lack of a comprehensive study investigating the relationship between fruits, vegetables, and dairy intake with lipid profiles in Iran, the present study was conducted to further assess the potential role of fruits, vegetables, and dairy intake in influencing blood lipid levels.
Results
The mean age and body mass index (BMI) of the participants were 46.67 ± 15.48 years and 26.89 ± 5.09 kg/m2, respectively. Regarding lipid profiles, the mean levels of triglycerides, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were 127.36 ± 81.13, 163.61 ± 36.52, 96.95 ± 31.24, and 41.23 ± 11.32, respectively. In the adjusted model, the odds of abnormal triglyceride levels decreased with the consumption of one serving (odds ratio (OR)= 0.90; 95% confidence interval (CI): 0.83–0.98) and two servings of dairy products (OR = 0.87; 95% CI 0.78–0.97). No significant association was observed for the other variables.
Introduction
Dyslipidemia refers to abnormal blood lipid and lipoprotein levels, characterized by one or a combination of elevated low-density lipoprotein cholesterol (LDL-C), increased total cholesterol (TC) [1], elevated triglycerides [2], and reduced high-density lipoprotein cholesterol (HDL-C) [3]. In recent decades, dyslipidemia has been on the increase [4]. It is a major risk factor for cardiovascular diseases (CVDs), which are the leading cause of death worldwide, with dyslipidemia being a significant contributor [5]. The prevalence of dyslipidemia in some populations has been reported as 59.74% [6]. In Iran, studies have reported the prevalence of hypercholesterolemia, hypertriglyceridemia, elevated LDL-C, and low HDL-C levels to range from 14% to 61%, 14% to 40.6%, 13.4% to 45.5%, and 5.73%, respectively [7,8,9,10].
Among various dietary factors, fruits and vegetables (FV) are essential components of a healthy diet [3]. FV are highly nutritious, providing abundant dietary fiber, vitamins, minerals, antioxidants, and other bioactive compounds [11]. These compounds influence lipid profiles through various mechanisms. For instance, the cholesterol-lowering effect of dietary fibers may result from increased viscosity, which binds cholesterol and bile acids and inhibits their absorption [12, 13]. Therefore, FV consumption may effectively reduce the risk of blood lipid disorders and diseases such as diabetes, CVDs, and certain cancers [14]. Several studies have reported a positive relationship between FV intake and blood lipid control [15,16,17]. However, other studies have found no association between FV consumption and lipid profiles [18, 19].
Recent scientific interest and debate have focused on the potential relationship between dairy intake and lipid profiles, but the findings are conflicting [20,21,22]. The study by Derakhshandeh-Rishehri et al. [22] showed no significant association between dairy product consumption and triglyceride, TC, LDL-C, or HDL-C levels. In contrast, the study by Park et al. [20] revealed a significant association between dairy intake and lower risk of hypertriglyceridemia. Dairy products may reduce the risk of dyslipidemia due to their bioactive compounds, including linoleic acid, protein, medium-chain fatty acids, vitamin D, and calcium [23].
Given the increasing prevalence of dyslipidemia and its related diseases, the beneficial effects of consuming FV and dairy products in preventing and controlling these disorders, and the lack of comprehensive studies investigating this relationship in Iran, along with contradictory results, the present study was conducted to further assess the potential role of FV and dairy intake on blood lipid levels.
Methods
Study design and participants
A World Health Organization (WHO)-based STEPwise approach to surveillance (STEPs) questionnaire was used to collect data, and its validity and reliability have already been evaluated [24]. Of the 31,050 participants selected, 30,541 qualified participants completed the questionnaire in the first phase. This phase assessed socio-demographic characteristics, medical risk factors, non-communicable diseases (NCDs), and lifestyle information (e.g., physical activity, nutrition, etc.). A consent form was also completed and signed during this phase. In the second phase (physical measurements), 30,042 participants were selected. The third phase (biochemical evaluations) was conducted only for participants aged 25 and older. Among the 30,541 participants, 27,738 aged 25 years and older were eligible and invited for biochemical assessments. Finally, 19,868 of the eligible participants underwent blood lipid measurements and were included in this study. A detailed description of the study design is provided in the study protocol [24].
In this cross-sectional study, we used the NCDs Research Center database of Tehran University of Medical Sciences. Participants were selected through systematic cluster random sampling from both rural and urban areas across 30 provinces of Iran, excluding Qom province (April to November 2016). This study was approved by the Medical Research and Ethics Committee of Shiraz University of Medical Sciences (IR.SUMS.SCHEANUT.REC.1400.035), and informed consent was obtained from all participants. Further details of the study have been published elsewhere [25, 26].
Anthropometric measures and biochemical assessment
Weight was measured with minimal clothing and without shoes (accuracy: 100 g). Standing height was measured without shoes, with flat feet against the wall, and the participant looking straight ahead, using a stadiometer (accuracy: 0.5 cm). Body mass index (BMI) was calculated as weight (kg) /height (m2) [27]. Venous blood samples were collected from eligible individuals after a 12-h fast. Serum lipids (TC, HDL-C, and triglycerides) were measured using an auto-analyzer (Cobas C311 Hitachi, Tokyo, Japan). To minimize inter-laboratory comparison bias, samples were transported to the laboratory for evaluation with the same auto-analyzer. LDL-C was calculated using the Friedewald formula: LDL-C = TC−[HDL-C + triglyceride/5] [28].
Assessment of other variables
In the current study, the Global Physical Activity Questionnaire (GPAQ) was used to assess participants' physical activity [29]. This questionnaire consists of 16 questions evaluating frequency, duration, and intensity. The results from the GPAQ were then expressed as metabolic equivalents (METs)-min per week [24].
Dietary intake assessment
FV and dairy intake were assessed by asking participants, “How many servings of FV or dairy do you usually eat daily?”. A serving was defined as one cup of diced or medium-sized fruit, one cup of raw or half a cup of cooked vegetables, and one cup of dairy. Fruit, vegetable, and dairy consumption were then categorized as follows: fruits—less than 1, 1, 2, and more than 2 servings per day (with one serving equivalent to about 150 g or 1 cup); vegetables—less than 3, 3, and more than 3 servings per day (with one serving equivalent to about 75 g or 1 cup); and dairy—less than 1, 1, 2, and more than 2 servings per day (with one serving equivalent to 1 cup).
Statistical analysis
An independent samples T-test and Mann–Whitney U test were used to examine differences in continuous variables with parametric and non-parametric distributions across categories of fruit, vegetable, and dairy product intake. The distribution of participants regarding categorical variables across lipid profile levels was assessed using the chi-square test. Binary logistic regression was applied to obtain odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between higher fruit, vegetable, and dairy intake and binary outcome variables (triglycerides > 150 mg/dL, TC > 200 mg/dL, LDL-C > 100 mg/dL, and low HDL-C (< 40 mg/dL in males and < 50 mg/dL in females)). In all analyses, individuals with normal levels were considered the reference group. In the adjusted model, we adjusted for age, gender, BMI, physical activity, education, marital status, medication, area of residency, smoking history, and occupation. All analyses were performed using IBM SPSS Statistics version 26. P < 0.05 were considered statistically significant.
Results
According to the sample size of the present study, the mean age and BMI were 46.67 ± 15.48 years and 26.89 ± 5.09, respectively. Additionally, the mean levels of triglyceride, TC, LDL-C, and HDL-C were 127.36 ± 81.13, 163.61 ± 36.52, 96.95 ± 31.24, and 41.23 ± 11.32, respectively. The prevalence of abnormalities in triglyceride, TC, LDL-C, and HDL-C in the total population was 26.7%, 15.1%, 42.8%, and 69.0%, respectively.
Socio-demographic characteristics of the study population based on fruit intake are shown in Table 1. Significant differences were observed across fruit intake categories for gender, area of residence, occupation, smoking, age, BMI, physical activity, education, triglycerides, HDL-C, and triglyceride abnormality (p-value < 0.001 for all, except HDL-C (p = 0.002) and HDL-C abnormality (p = 0.024)).
Socio-demographic characteristics of the study population based on vegetable intake are presented in Table 2. Significant differences were observed across vegetable intake categories for area of residence, occupation, smoking, age, BMI, physical activity, education, triglycerides, LDL-C, and triglyceride abnormality (p < 0.001 for all, except physical activity (p = 0.001), triglyceride (p = 0.001), LDL-C (p = 0.028) and triglyceride abnormality (p = 0.024)).
Socio-demographic characteristics of the study population based on dairy intake are shown in Table 3. Significant differences were observed across dairy intake categories for gender, area of residence, occupation, smoking, age, BMI, physical activity, education, and HDL-C abnormality (p < 0.001 for all, except HDL-C abnormality (p = 0.029)).
Table 4 presents fruit, vegetable, and dairy intakes by triglyceride, TC, LDL-C, and HDL-C levels in both crude and adjusted models. Consuming one serving of fruit was significantly associated with increased levels of triglyceride (odds ratio (OR) = 1.20; 95% confidence interval (CI): 1.11–1.28), TC (OR = 1.09; 95% CI: 1.00–1.18), and HDL-C (OR = 1.10; 95% CI: 1.03–1.17) in the crude model. Also, the consumption of two servings (OR = 1.22; 95% CI: 1.10–1.34) and more than two servings (OR = 1.28; 95% CI 1.10–1.49) of fruits, as well as more than three servings (OR = 1.26; 95% CI 1.00–1.58) of vegetables, were significantly associated with increased triglyceride levels. A significant association was also found between the intake of more than two dairy servings and the level of HDL-C (OR = 0.87; 95% CI: 0.80–0.95). In the adjusted model, the odds of abnormal triglyceride levels decreased with the consumption of one serving (OR = 0.90; 95% CI: 0.83–0.98) and two servings of dairy products (OR = 0.87; 95% CI: 0.78–0.97). No significant associations were observed for the other variables.
The average levels of triglycerides, TC, LDL-C, and HDL-C at the provincial levels are shown in Figs. 1, 2, 3, and 4. The prevalence of triglycerides, TC, and HDL-C at the national and subnational levels is presented in Supplementary Figures.
Discussion
The present study showed that the consumption of one and two servings of dairy products was associated with a 10% and 13% reduction in serum triglycerides, respectively. However, no significant association was observed between dairy product intake and the other lipid variables. Also, the findings revealed no significant association between FV consumption and lipid profiles.
As noted, our study found no association between FV consumption and lipid profiles. In line with our findings, a cross-sectional study in individuals with type 2 diabetes also showed no significant association between increased FV intake and certain lipid profile levels [18]. Similarly, a randomized controlled trial found that FV consumption had no significant effect on serum lipids [19]. In contrast, a cross-sectional study revealed that students with lower fruit intake had higher rates of low HDL-C and high triglyceride levels [15]. A study conducted on Korean women indicated an inverse relationship between FV intake and high triglyceride and low HDL-C levels [16]. Besides, a parallel trial demonstrated that consuming 5 and 8 servings/day of FV significantly reduces LDL-C concentrations [17]. Findings from another cross-sectional study showed that increasing vegetable intake was inversely related to LDL-C and TC, whereas fruit intake had no such association [30]. Comparing these studies, we conclude that differences in target groups and evaluation criteria for FV consumption likely account for the varying results.
The findings of this study revealed that most participants consume less than one serving of fruit (150 g) and fewer than two servings of vegetables (75 g per serving). In a study conducted on 4,487 participants in the United Kingdom, the average consumption of FVs, as estimated through a food frequency questionnaire, was 241.8 g and 207.5 g, respectively [31]. Similarly, a study of 2,397 Australian adults found that the mean daily consumption of FVs was 128 g and 205 g, respectively [32]. These results suggest that the daily consumption of FVs among Iranians is comparatively lower than that in other populations.
Although no association was observed between FV consumption and lipid profiles in the present study, FV can affect lipid profiles through various mechanisms. For example, the cholesterol-lowering effect of dietary fibers may be due to their ability to increase viscosity, which slows the diffusion of nutrients, binds cholesterol and bile acids, and inhibits their absorption [12]. Also, the fermentative properties of fibers initiate another mechanism where they help reduce LDL-C levels by promoting the production of short-chain fatty acids by colonic bacteria and inhibiting cholesterol synthesis in the liver through the suppression of 3-hydroxy-3-methylglutaryl (HMG)-CoA reductase [12]. Plant sterols, which are structurally similar to cholesterol, reduce serum cholesterol concentrations by inhibiting the absorption of dietary and biliary cholesterol in the small intestine [33]. Furthermore, FV consumption is effective in controlling weight and, subsequently, lipid profiles due to their low-fat content, reduced eating rate, and low energy density [11, 30, 34]. Also, antioxidants in the blood and organs are often reduced in chronic conditions like hyperlipidemia. In such cases, antioxidant intake can effectively normalize both lipid profiles and blood antioxidant levels [13].
Conflicting findings have been published regarding the effects of dairy products on chronic diseases such as diabetes, CVDs, and metabolic syndrome. These differences are attributed to factors such as race, dietary pattern [21, 35,36,37], the amount of dairy consumed [38,39,40], sex, and obesity [41,42,43]. In the present study, we observed a reduction in triglycerides associated with dairy product consumption. Consistent with our findings, Park et al. reported that participants with the highest dairy consumption (≥ 1 serving/day) had a lower risk of hypertriglyceridemia compared to those with the lowest intake of dairy products [20]. Similarly, Machlik et al. found an inverse relationship between the consumption of fermented dairy products and serum triglyceride levels [44]. Several mechanisms may explain the effect of dairy consumption on triglyceride reduction. One such mechanism involves the presence of calcium in dairy products. Increased dietary calcium intake can reduce the activity of 1,25-dihydroxyvitamin D. Higher calcium concentrations within cells promote lipolysis and inhibit fatty acid synthesis, potentially reducing triglyceride reserves [45]. Additionally, calcium increases the excretion of fat in feces, possibly by forming calcium-insoluble fatty acid soaps or by binding bile acids, which disrupts micelle formation [46].
In our study, dairy consumption had no significant effect on TC and HDL-C. Consistent with our findings, Machlik et al. also found no relationship between the consumption of fermented dairy products and HDL-C and TC levels [44]. Moreover, a meta-analysis of randomized clinical trials indicated that dairy consumption had no significant effect on HDL-C in healthy adults [47]. A randomized clinical trial also showed that dairy product intake did not affect HDL-C levels [48]. However, some studies have highlighted the beneficial effects of dairy consumption on reducing TC and increasing HDL-C levels [49,50,51,52]. Despite the high saturated fat content in dairy products, they are rich in minerals (such as calcium), vitamins, linoleic acid, and whey protein, all of which have positive effects on health [37, 52, 53]. For instance, calcium has been shown to dose-dependently reduce the postprandial lipid response [54].
Strengths and limitations
Our study has several strengths. It is the first comprehensive study with a large sample size to explore the association between FV and dairy products intake and lipid profiles in Iran, encompassing individuals from diverse ethnic backgrounds in both urban and rural areas. In addition, we accounted for a wide range of potential confounders. However, there are limitations to consider. Due to the cross-sectional design, we cannot infer a causal relationship between FV and dairy products intake and lipid profiles, as exposure and outcome may have been reversed. Moreover, due to the unavailability of data, we were unable to compare the effects of high-fat versus low-fat dairy products on lipid profiles. Another limitation is the lack of data on energy intake, which may have influenced the results. In addition, a more detailed and comprehensive questionnaire would be beneficial for a more accurate assessment in future studies.
Conclusions
Based on our findings, we observed an inverse association between dairy consumption and serum triglyceride levels. However, no association was found between FV consumption or dairy intake and lipid profiles such as TC and HDL-C. Further studies are needed to confirm these findings. Also, longitudinal and intervention studies are required to better understand the mechanisms through which different FV and dairy products affect lipid profiles.
Availability of data and materials
Data are available through a reasonable request from the corresponding author.
References
Fletcher B, Gulanick M, Lamendola C. Risk factors for type 2 diabetes mellitus. J Cardiovasc Nurs. 2002;16(2):17–23.
Aeberli I, Gerber PA, Hochuli M, Kohler S, Haile SR, Gouni-Berthold I, Berthold HK, Spinas GA, Berneis K. Low to moderate sugar-sweetened beverage consumption impairs glucose and lipid metabolism and promotes inflammation in healthy young men: a randomized controlled trial. Am J Clin Nutr. 2011;94(2):479–85.
Liu J, Li Y, Wang X, Gao D, Chen L, Chen M, Ma T, Ma Q, Ma Y, Zhang Y. Association between fruit consumption and lipid profile among children and adolescents: a national cross-sectional study in China. Nutrients. 2021;14(1):63.
Pirillo A, Casula M, Olmastroni E, Norata GD, Catapano AL. Global epidemiology of dyslipidaemias. Nat Rev Cardiol. 2021;18(10):689–700.
Kathak RR, Sumon AH, Molla NH, Hasan M, Miah R, Tuba HR, Habib A, Ali N. The association between elevated lipid profile and liver enzymes: a study on Bangladeshi adults. Sci Rep. 2022;12(1):1–8.
Garcez MR, Pereira JL, Fontanelli MM, Marchioni DML, Fisberg RM. Prevalence of dyslipidemia according to the nutritional status in a representative sample of São Paulo. Arq Bras Cardiol. 2014;103:476–84.
Asgari F, Aghajani H, Haghazali M, Heidarian H. Non-communicable diseases risk factors surveillance in Iran. Iran J Public Health. 2009;38:119–22.
Hatmi ZN, Tahvildari S, Gafarzadeh Motlag A, Sabouri Kashani A. Prevalence of coronary artery disease risk factors in Iran: a population based survey. BMC Cardiovasc Disord. 2007;7(1):32.
Sharifi F, Mousavinasab S, Soruri R, Saeini M, Dinmohammadi M. High prevalence of low high-density lipoprotein cholesterol concentrations and other dyslipidemic phenotypes in an Iranian population. Metab Syndr Relat Disord. 2008;6(3):187–95.
Yarahmadi S, Etemad K, Hazaveh AM, Azhang N. Urbanization and non-communicable risk factors in the capital city of 6 big provinces of Iran. Iran J Public Health. 2013;42(Supple1):113.
Ahmed A, Lager A, Fredlund P, Elinder LS. Consumption of fruit and vegetables and the risk of type 2 diabetes: a 4-year longitudinal study among Swedish adults. J Nutr Sci. 2020. https://doiorg.publicaciones.saludcastillayleon.es/10.1017/jns.2020.7.
Berciano S, Ordovás JM. Nutrition and cardiovascular health. Rev Esp Cardiol. 2014;67(9):738–47.
Hannan PA, Khan JA, Ullah I, Ullah S. Synergistic combinatorial antihyperlipidemic study of selected natural antioxidants; modulatory effects on lipid profile and endogenous antioxidants. Lipids Health Dis. 2016;15(1):1–10.
Ham E, Kim H-J. Evaluation of fruit intake and its relation to body mass index of adolescents. Clin Nutr Res. 2014;3(2):126–33.
Keung V, Lo K, Cheung C, Tam W, Lee A. Changes in dietary habits and prevalence of cardiovascular risk factors among school students in Macao, China. Obes Res Clin Pract. 2019;13(6):541–7.
Hong SA, Kim MK. Relationship between fruit and vegetable intake and the risk of metabolic syndrome and its disorders in Korean women according to menopausal status. Asia Pac J Clin Nutr. 2017;26(3):514–23.
Suwimol S, Pimpanit L, Aporn M, Pichita S, Ratiyaporn S, Wiroj J. Impact of fruit and vegetables on oxidative status and lipid profiles in healthy individuals. Food Public Health. 2012;2(4):113–8.
Tabesh M, Hariri M, Askari G, Ghiasvand R, Tabesh M, Heydari A, Darvishi L, Khorvash F. The relationship between vegetables and fruits intake and glycosylated hemoglobin values, lipids profiles and nitrogen status in type II inactive diabetic patients. Int J Prev Med. 2013;4(Suppl 1):S63.
Broekmans WM, Klöpping-Ketelaars W, Kluft C, Van den Berg H, Kok F, Van Poppel G. Fruit and vegetables and cardiovascular risk profile: a diet controlled intervention study. Eur J Clin Nutr. 2001;55(8):636–42.
Park SJ, Park J, Song HJ, Lee CH, Lee HJ. Association between dairy product intake and hypertriglyceridemia in Korean adults. Nutr Res Pract. 2020;14(2):152–9.
Pereira MA, Jacobs DR Jr, Van Horn L, Slattery ML, Kartashov AI, Ludwig DS. Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study. JAMA. 2002;287(16):2081–9.
Derakhshandeh-Rishehri SM, Ghobadi S, Akhlaghi M, Faghih S. No adverse effects of dairy products on lipid profile: a systematic review and meta-analysis of randomized controlled clinical trials. Diabetes Metab Syndr. 2021;15(6):102279.
Hajipour M, Zamaninour N, Yoosefi M, Soleimanzadehkhayat M, Pazhuheian F. Distribution of dietary risk factors in Iran: national and sub-national burden of disease. Arch Iran Med. 2021;24(1):48–57.
Djalalinia S, Modirian M, Sheidaei A, Yoosefi M, Zokaiee H, Damirchilu B, Mahmoudi Z, Mahmoudi N, Hajipour MJ, Peykari N. Protocol design for large–scale cross–sectional studies of surveillance of risk factors of non–communicable diseases in Iran: STEPs 2016. Arch Iran Med. 2017;20(9):608–16.
Nouri M, Shateri Z, Vali M, Faghih S. The relationship between the intake of fruits, vegetables, and dairy products with hypertension: findings from the STEPS study. BMC Nutr. 2023;9(1):99.
Nouri M, Shateri Z, Faghih S. The relationship between intake of fruits, vegetables and dairy products with overweight and obesity in a large sample in Iran: findings of STEPS 2016. Front Nutr. 2023. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fnut.2022.1082976.
Seloka MA, Matshipi M, Mphekgwana PM, Monyeki KD. The association between the consumption of sugar-sweetened beverages and metabolic syndrome components in young rural adults in South Africa. Appl Sci. 2022;12(6):3015.
Kim G-W, Cho B-D, Lee H-S, Jung S-H, Oh K-C, Yoon J-U, Baek S-H, Ryu K-H, Rhim C-Y, Cho H-C. Comparison analysis of an indirect measurement of friedwal formula method and direct measurement of immunoseparation method on low-density lipoprotein cholesterol measurement. Korean J Med. 2003; 41–8.
Armstrong T, Bull F. Development of the world health organization global physical activity questionnaire (GPAQ). J Public Health. 2006;14(2):66–70.
Mollahosseini M, Daneshzad E, Rahimi MH, Yekaninejad MS, Maghbooli Z, Mirzaei K. The association between fruit and vegetable intake and liver enzymes (aspartate and alanine transaminases) in Tehran, Iran. Ethiop J Health Sci. 2017;27(4):401–10.
Michels KB, Welch AA, Luben R, Bingham SA, Day NE. Measurement of fruit and vegetable consumption with diet questionnaires and implications for analyses and interpretation. Am J Epidemiol. 2005;161(10):987–94.
Nour M, Sui Z, Grech A, Rangan A, McGeechan K, Allman-Farinelli M. The fruit and vegetable intake of young Australian adults: a population perspective. Public Health Nutr. 2017;20(14):2499–512.
Hallikainen MA, Uusitupa MI. Effects of 2 low-fat stanol ester–containing margarines on serum cholesterol concentrations as part of a low-fat diet in hypercholesterolemic subjects. Am J Clin Nutr. 1999;69(3):403–10.
Dreher ML, Ford NA. A comprehensive critical assessment of increased fruit and vegetable intake on weight loss in women. Nutrients. 2020;12(7):1919.
Baxter AJ, Coyne T, McClintock C. Dietary patterns and metabolic syndrome-a review of epidemiologic evidence. Asia Pac J Clin Nutr. 2006;15(2):134–142.
De Goede J, Soedamah-Muthu SS, Pan A, Gijsbers L, Geleijnse JM. Dairy consumption and risk of stroke: a systematic review and updated dose–response meta-analysis of prospective cohort studies. J Am Heart Assoc. 2016;5(5):e002787.
Lee H-J, Cho J-I, Lee H-SH, Kim C-I, Cho E. Intakes of dairy products and calcium and obesity in Korean adults: Korean National Health and Nutrition Examination Surveys (KNHANES) 2007–2009. PLoS ONE. 2014;9(6):e99085.
Moreno LA, Bel-Serrat S, Santaliestra-Pasías A, Bueno G. Dairy products, yogurt consumption, and cardiometabolic risk in children and adolescents. Nutr Rev. 2015;73:8–14.
Van Aerde MA, Soedamah-Muthu SS, Geleijnse JM, Snijder MB, Nijpels G, Stehouwer CD, Dekker JM. Dairy intake in relation to cardiovascular disease mortality and all-cause mortality: the Hoorn Study. Eur J Nutr. 2013;52(2):609–16.
Larsson SC, Männistö S, Virtanen MJ, Kontto J, Albanes D, Virtamo J. Dairy foods and risk of stroke. Epidemiology. 2009;20(3):355.
Kondo I, Ojima T, Nakamura M, Hayasaka S, Hozawa A, Saitoh S, Ohnishi H, Akasaka H, Hayakawa T, Murakami Y. Consumption of dairy products and death from cardiovascular disease in the Japanese general population: the NIPPON DATA80. J Epidemiol. 2013;23(1):47–54.
Elwood PC, Pickering JE, Fehily AM. Milk and dairy consumption, diabetes and the metabolic syndrome: the Caerphilly prospective study. J Epidemiol Community Health. 2007;61(8):695–8.
Vergnaud A-C, Péneau S, Chat-Yung S, Kesse E, Czernichow S, Galan P, Hercberg S, Bertrais S. Dairy consumption and 6-y changes in body weight and waist circumference in middle-aged French adults. Am J Clin Nutr. 2008;88(5):1248–55.
Machlik ML, Hopstock LA, Wilsgaard T, Hansson P. Associations between intake of fermented dairy products and blood lipid concentrations are affected by fat content and dairy matrix-the Tromsø study: Tromsø7. Front Nutr. 2021;8:773468.
Zemel MB. Role of calcium and dairy products in energy partitioning and weight management. Am J Clin Nutr. 2004;79(5):907S-912S.
Shahkhalili Y, Murset C, Meirim I, Duruz E, Guinchard S, Cavadini C, Acheson K. Calcium supplementation of chocolate: effect on cocoa butter digestibility and blood lipids in humans. Am J Clin Nutr. 2001;73(2):246–52.
Benatar JR, Sidhu K, Stewart RA. Effects of high and low fat dairy food on cardio-metabolic risk factors: a meta-analysis of randomized studies. PLoS ONE. 2013;8(10):e76480.
Schmidt KA, Cromer G, Burhans MS, Kuzma JN, Hagman DK, Fernando I, Murray M, Utzschneider KM, Holte S, Kraft J. Impact of low-fat and full-fat dairy foods on fasting lipid profile and blood pressure: exploratory endpoints of a randomized controlled trial. Am J Clin Nutr. 2021;114(3):882–92.
Biong AS, Müller H, Seljeflot I, Veierød MB, Pedersen JI. A comparison of the effects of cheese and butter on serum lipids, haemostatic variables and homocysteine. Br J Nutr. 2004;92(5):791–7.
Buonopane GJ, Kilara A, Smith JS, McCarthy RD. Effect of skim milk supplementation on blood cholesterol concentration, blood pressure, and triglycerides in a free-living human population. J Am Coll Nutr. 1992;11(1):56–67.
Kawase M, Hashimoto H, Hosoda M, Morita H, Hosono A. Effect of administration of fermented milk containing whey protein concentrate to rats and healthy men on serum lipids and blood pressure. J Dairy Sci. 2000;83(2):255–63.
Beydoun MA, Gary TL, Caballero BH, Lawrence RS, Cheskin LJ, Wang Y. Ethnic differences in dairy and related nutrient consumption among US adults and their association with obesity, central obesity, and the metabolic syndrome. Am J Clin Nutr. 2008;87(6):1914–25.
Soedamah-Muthu SS, Ding EL, Al-Delaimy WK, Hu FB, Engberink MF, Willett WC, Geleijnse JM. Milk and dairy consumption and incidence of cardiovascular diseases and all-cause mortality: dose-response meta-analysis of prospective cohort studies. Am J Clin Nutr. 2011;93(1):158–71.
Lorenzen JK, Nielsen S, Holst JJ, Tetens I, Rehfeld JF, Astrup A. Effect of dairy calcium or supplementary calcium intake on postprandial fat metabolism, appetite, and subsequent energy intake. Am J Clin Nutr. 2007;85(3):678–87.
Acknowledgements
Not applicable.
Funding
The authors received no financial support for this article's research, authorship, and publication.
Author information
Authors and Affiliations
Contributions
M.N, Z.E, and Z.S; Contributed to writing the first draft. M.N; Contributed to all data, statistical analysis, and interpretation of data. S.F.; Contributed to the research concept, supervised the work, and revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
This study was conducted in accordance with the ethical standards of the Declaration of Helsinki and approved by the medical research and ethics committee of Shiraz University of Medical Sciences (IR.SUMS.SCHEANUT.REC.1400.035) and informed consents were completed by all participants.
Consent for publication
Not applicable.
Competing interests
The authors declare 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
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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 http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Nouri, M., Ebrahimi, Z., Shateri, Z. et al. The relationship between the intake of fruits, vegetables, and dairy products and dyslipidemia in STEPs study. BMC Res Notes 18, 59 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13104-025-07132-3
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13104-025-07132-3