Dairy Consumption in Relation to Hypertension Among a Large Population of University Students: The MEPHASOUS Study.

BACKGROUND: Hypertension is a chronic condition that its prevalence is increasing at an alarming rate. Findings on the association between dairy consumption and hypertension are conflicting and few data are available in the Middle East. AIM: To assess the association between dairy consumption and hypertension among a large population of university students.
MATERIALS AND METHODS: The current study was performed in the framework of the Mental and Physical Health Assessment of University Student (MEPHASOUS) project. Overall, 67,011 university students with complete information were included in the statistical analysis. To assess dairy consumption, a self-administered dietary habits questionnaire was employed. Blood pressure was measured using a standard protocol. The systolic/diastolic blood pressure of ≥140/90 mmHg was considered hypertension.
RESULTS: Hypertension was prevalent among 6.9% of students. A significant inverse association was found between dairy consumption and the odds of hypertension; such that after taking potential confounders into account, individuals in the highest levels of dairy consumption had 85% lower odds for having hypertension compared with those in the lowest levels (odds ratio (OR): 0.15, 95% confidence interval (CI): 0.13-0.18). Such an inverse association was also seen among males (OR: 0.14, 95% CI: 0.11-0.18) and females (OR: 0.16, 95% CI: 0.12-0.21), normal-weight students (OR: 0.15, 95% CI: 0.12-0.18) and those with overweight or obesity (OR: 0.15, 95% CI: 0.11-0.21), and individuals with (OR: 0.13, 95% CI: 0.11-0.16) and without (OR: 0.24, 95% CI: 0.17-0.35) family history of hypertension.
CONCLUSION: Our results support the previous findings on the inverse association between dairy consumption and hypertension among university students.

Introduction

Hypertension, as the blood pressure (BP) of ≥140/90 mmHg, is one of the major public health concerns worldwide and associated with increased risk of unfavorable cardiovascular diseases (CVDs) and mortality.1,2 In 2000, hypertension was prevalent among 26% of adults worldwide, and its prevalence is expected to increase to 29% in 2025.3 Overall, it seems that promoting appropriate strategies for the prevention of hypertension is essential.

Several approaches including lifestyle modifications, particularly dietary management, have been proposed for the prevention of hypertension. Nutritional guidelines have recommended an energy-restricted diet with a high amount of fruits, vegetables, whole grains and with a reduced content of salt, saturated fatty acids, and dietary cholesterol.4,5 These recommendations have been purposed to reach a healthy body weight and to provide a balance between beneficial (potassium and calcium) and harmful (sodium) minerals for blood pressure.6 Dairy products contain a well-balanced composition of micronutrients that may help for the prevention of hypertension.6,7 In addition, these products are rich in bioactive tripeptides which provide an inhibitory effect on angiotensin-converting enzyme (ACE).8–10 Nevertheless, data on the association between dairy consumption and risk of hypertension are conflicting. In the Framingham Heart Study, which was performed on 2636 adults, Wang et al reported that dairy consumption, as part of a nutritious and energy-balanced diet, was inversely associated with BP and incident hypertension.11 Conversely, in a Mendelian randomization study on 197,332 participants, genetically determined dairy consumption (using lactase persistence gene) was not associated with systolic blood pressure and risk of hypertension.12 However, due to the different lactose content of dairy products, interpreting Mendelian results is difficult. The observed inconsistencies on the association between dairy consumption and hypertension might be explained by different populations of previous studies, different processing of dairy products in different cultures, and controlling for different confounders in previous studies.

In addition to inconsistent results, earlier studies were mostly performed on western societies and little evidence is available from Asian societies, particularly from the Middle East where the prevalence of hypertension is estimated to be high (25% of Iranian adults).13 To our knowledge, no study with large sample size is available in the Middle East to examine the association between dairy consumption and hypertension. Besides, dairy consumption among Middle Eastern populations is considerably lower than that in western societies.7,14

The low consumption of dairy products is more prevalent among university students than others because they usually adhere to unhealthy dietary behaviors.15 Dietary intakes among university students might be influenced by food prices, busy daily life, and preferences.16 University students are tended to consume fast foods, snacks, and sugar-sweetened beverages, rather than dairy products, fruits, and vegetables.17,18 In Spain, Alonso et al concluded that a higher intake of dairy products in university students was associated with reduced odds of hypertension.19 This association might be different among university students in the Middle East. Considering the aforesaid points, the current study was conducted to examine the association between dairy consumption and hypertension among a large population of university students in the Middle East.

Materials and Methods

Participants

The current research with a cross-sectional design was a part of the mental and physical health assessment of university student (MEPHASOUS) project which was performed in 2012–2013. This project was aimed to determine the contributing factors to the health problems and unhealthy behaviors of Iranian university students. Previously published studies presented details on the study design, sampling methods, and data gathering methods of the MEPHASOUS project.20,21 In the MEPHASOUS project, all students from 74 governmental eligible universities (in most provinces of Iran), related to the Ministry of Science and Technology (MST), were asked to take part in the study. Inclusion criteria were the registration in a governmental university and being in an age range of ≥18 years. Both male and female students were included. All students were Iranian by nationality. No students from other countries of the Middle East were included. The collection of data was conducted in the health centers of universities. All required data on demographic variables, anthropometric indices, disease history, and dietary intakes were gathered from each student via pre-tested questionnaires. In total, 84,332 students participated in the current study; however, students with missing data on dairy consumption, blood pressure, and confounding variables were excluded (n=17,321). This exclusion resulted in a dataset of 67,011 participants for the current analysis. We found no significant differences in terms of age, sex, and body mass index (BMI) between included and excluded students.

Ethics

The study was approved by the ethics committee of counseling and health organization of the Ministry of Science and Technology. All participants provided a signed informed consent document. Also, all procedures performed in this study were according to the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Dietary Assessment

In order to collect information on dietary intake of selected food groups and also breakfast consumption, a validated 8-item dietary habits questionnaire was used. This self-administered questionnaire was filled out once by students. They were asked to report the frequency of consumption for fruits (<1 serv/day, 1 serv/day, 2–3 serv/day, ≥4 serv/day), vegetables (<1 serv/day, 1 serv/wk, 2–3 serv/wk, ≥4 serv/wk), dairy products (<1 serv/day, 1 serv/wk, 2–3 serv/wk, ≥4 serv/wk), whole grains (<1 serv/day, 1 serv/wk, 2–3 serv/wk, ≥4 serv/wk), fast foods (rarely, 1 time/wk, 2–3 times/wk, ≥4 times/wk), sugar-sweetened beverages (SSBs) (<1 time/wk, 1–2 times/wk, ≥3 times/wk), and sweets (<1 serv/wk, 1 serv/wk, 2–3 serv/wk, ≥4 serv/wk) over the last year and by considering the serving size of these foods. Students were instructed in the health centers of universities, prior to filling out the questionnaire, about the serving size of each food item. If needed, the standard serving sizes were shown to student using household measures. In the questionnaire, the response levels were different for each food according to its usual intake among the Iranian population. For example, the response categories for fruits which are frequently consumed by Iranians were in a daily format, while these categories for sweets that are infrequently consumed were in a weekly format. The last item of this questionnaire was about breakfast consumption. Students were asked to report how many times they consume breakfast in a week (<1 day/wk, 1–2 days/wk, 3–4 days/wk, ≥5 days/wk). Breakfast skipper was defined as individuals who consumed breakfast 4 days or less per week. A previously published article revealed the reliability and validity of the questionnaire.20 The questionnaire was specifically designed and validated for the MEPHASOUS project.20

In the current study, dairy products were considered as milk, cheese, yogurt and dough (yogurt drink). Participants were asked to consider all the products and then, reported their total consumption of dairy products. Indeed, data on individual dairy products were not collected. Students were asked not to consider the mixed foods that contain milk or other dairy products such as coffee/tea combined with milk, chocolate milk, and etc. These mixed foods usually contain a high amount of sugar and probably caffeine that may significantly affect the possible beneficial effect of dairy products of blood pressure. Other dairy-related products including butter and ice-cream which have little to no calcium were not considered in the assessment of dairy intake.

The reliability of the dietary habits questionnaire was examined in a separate study which was done on a subgroup of 70 students in each center of the MEPHASOUS project (total: 1960 students).20 In that study, a test-retest reliability process was applied in order to estimate the reliability of the questionnaire. Participants were asked to fill the dietary habits questionnaire two times with a 2–3 weeks’ interval. The correlation coefficients for all dietary habits between the two times were more than 0.60. Also, this coefficient for total dairy consumption was 0.72 indicating sufficient reliability of this questionnaire. The reliability and validity of the questionnaire were also confirmed by previous studies which applied this questionnaire for the assessment of dietary habits.21–23

Definition of Hypertension

Before the measurement of blood pressure, participants were asked to rest for 15 min. Blood pressure was measured using a mercury sphygmomanometer (Model number: 58725-BK, Riester, Germany) two times with a 20-minute interval. During the measurement, participants were in a seated position. To decrease the measurement error, blood pressure was measured by one trained staff in each center of the MEPHASOUS project. The average of two measurements was considered as the final systolic and diastolic blood pressure. Hypertension was defined as systolic blood pressure (SBP) ≥140 mmHg and diastolic blood pressure (DBP) ≥90 mmHg. This definition was based on the European Society of Cardiology (ESC)/European Society of Hypertension (ESH) guidelines in 2018.24

Assessment of Other Variables

We used a self-reported pre-tested questionnaire to collect data on age, sex (male/female), education [advanced diploma/bachelor of science (BSc)/master of science (MSc)/medical doctor (MD)/doctor of philosophy (Ph.D.)], marital status (single/married), occupation (having/not-having), health insurance (having/not-having), smoking (non-smoker/ex-smoker/current smoker), current use of nutritional supplements (including Fe, Ca, vitamins and other nutritional supplements) (yes/no), and family history of hypertension (yes/no) and diabetes (yes/no). Since health insurance in Iran can cost a lot for people, it was considered as an index for evaluation of economic status. Therefore, we considered students who had health insurance as economically “high” and those who did not have any type of health insurance as economically “low”. In addition, sleep pattern was assessed by the two questions: “how is your pattern of sleeping and awaking?” and “how many hours do you sleep in a day?” The response options for the first question were “regular”, “irregular” and for the second question were: “<6 hours/day”, “6–8 hours/day”, “8–10 hours/day”, “>10 hours/day. For physical activity assessment, students were asked how many times they exercise lasting 30 min. They answered this question by these options: “rarely”, “1–2 times/wk”, “3–4 times/wk”, “>5 times/wk”. We considered students who conducted the exercise ≥3 times/wk as physically active. Also, those who had the physical activity 1–2 times/wk were considered somewhat active and those who had a rare physical activity as inactive. In order to measure anthropometric indices, we employed a standard procedure to measure weight and height. We calculated BMI using the eligible formula. Those students with the BMI of 25–30 and ≥30 kg/m2 were considered as overweight or obese, respectively.25,26

Statistical Analysis

Participants were categorized according to the four levels of dairy consumption as follows: <1 serv/wk, 1 serv/wk, 2–3 serv/wk, ≥4 serv/wk. We used the one-way analysis of variance (ANOVA) to assess differences in quantitative variables across the four levels of dairy consumption. To assess the distribution of categorical variables across dairy consumption levels, the Chi-square test was used. Binary logistic regression in adjusted models was employed to assess the association between dairy consumption and hypertension. In the first model, age and sex (not included in the sex-stratified analysis) were controlled. Further control was made for marital status, education, occupation, physical activity, economic status, smoking, sleep pattern, family history of hypertension (not included in the stratified analysis based on family history of hypertension) and diabetes, breakfast skipping, and supplement use in the second model. In the third model, additional adjustments were performed for dietary intakes of fruits, vegetables, fast foods, SSBs, whole grains, and sweets. In the final model, BMI (not included in the BMI status-stratified analysis) was additionally controlled to obtain an obesity-independent association between dairy consumption and hypertension. In these analyses, students in the first category of dairy consumption (who had the lowest consumption of dairy) were considered as reference. To obtain the overall trend of odds ratios across increasing categories of dairy consumption, we considered these categories as an ordinal variable in the logistic regression models. In addition to the whole population, we did subgroup analysis based on sex (male/female), BMI status (<25/≥25 kg/m2), and family history of hypertension (yes/no). All statistical analyses were done using SPSS software (version 19.0; SPSS Inc, Chicago IL). P values were considered significant at <0.05.

Results

The mean age of study participants was 21.4 ± 3.9 years and 55.5% were female subjects. In total, hypertension was prevalent among 6.9% of university students who participated in the current study. Out of 67,011 university students who participated in the current study, 23.2% were in the highest category of dairy consumption (≥4 serv/wk) and 6.3% were in the lowest category (<1 serv/wk). Also, 23.1% and 47.4% of students consumed 1 serv/wk and 2–3 serv/wk dairy products, respectively.

Demographic characteristics and dietary habits of participants across categories of dairy consumption are shown in Table 1. Compared with individuals in the lowest category of dairy consumption, those in the highest category had higher age, weight, BMI, lower DBP, and were more likely to be female, married, physically active, obese, have a regular sleep pattern, use nutritional supplements, and less likely to be current smoker, economically low, breakfast skipper, and have family history of hypertension. In addition, the distribution of education and occupation was significantly different across categories of dairy consumption. Regards to dietary intakes, students in the top category of dairy consumption had greater intakes of fruits, vegetables, sweets, and lower intakes of fast foods, whole grains, and SSBs compared with those in the bottom category.

Table 1

Demographic Characteristics and Dietary Habits of Participants Across Categories of Dairy Consumption (n=67,011)

	<1 serv/wk	1 serv/wk	2–3 serv/wk	≥4 serv/wk	P-trend*
N (%)	4259 (6.3)	15,458 (23.1)	31,765 (47.4)	15,529 (23.2)
Age (years)	21.16 ± 3.81	21.27 ± 3.70	21.55 ± 3.98	21.47 ± 4.19	<0.001
Sex (female) (%)	55.2	54.0	54.3	59.4	<0.001
Weight (kg)	63.64 ± 13.96	63.07 ± 13.20	64.22 ± 13.99	65.64 ± 14.69	<0.001
BMI (kg/m2)	22.39 ± 3.93	22.18 ± 3.77	22.47 ± 3.98	23.00 ± 4.20	<0.001
Marital status (married) (%)	8.9	8.3	10.1	10.7	<0.001
Education (graduated) (%)	34.2	36.0	39.7	34.8	<0.001
Having a job (%)	11.6	8.8	9.6	10.8	<0.001
Current smoker (%)	33.3	15.7	6.4	5.3	<0.001
Physical activity (active)a (%)	36.7	34.6	39.2	45.6	<0.001
Sleep pattern (regular) (%)	49.1	52.9	60.2	65.9	<0.001
Economic status (low) (%)	29.1	22.2	16.8	13.1	<0.001
Supplement use (%)	9.6	9.3	10.0	12.1	<0.001
DBP (mmHg)	78.84 ± 19.90	75.62 ± 17.04	74.34 ± 15.28	74.49 ± 15.65	<0.001
SBP (mmHg)	110.47 ± 27.43	107.54 ± 20.98	108.56 ± 22.00	108.38 ± 25.39	0.16
Family history of hypertension (%)	21.5	20.1	19.1	19.3	<0.001
Family history of diabetes (%)	13.9	12.9	12.8	13.8	0.08
Overweight and obesity (%)	21.2	19.6	22.2	26.1	<0.001
Breakfast skipping (%)	55.6	55.4	46.0	35.5	<0.001
Dietary Intakes
Fruit (≥4 serv/d) (%)	43.1	48.4	62.5	75.3	<0.001
Vegetable (≥4 serv/wk) (%)	11.3	7.2	11.5	24.1	<0.001
Fast food (≥4 time/wk) (%)	4.1	1.5	0.7	1.0	<0.001
SSBs (≥3 time/wk) (%)	10.9	5.5	5.3	7.9	<0.001
Sweets (≥4 serv/wk) (%)	14.7	10.1	11.7	16.9	<0.001
Whole grains (≥4 serv/wk) (%)	3.2	1.8	1.4	2.1	<0.001

Notes: Data are presented as mean (SD) or percent. *Obtained from ANOVA or Chi-square, where appropriate. aThose who exercised 3 time/wk or more lasting 30 minutes in each time.

Abbreviations: BMI, body mass index; SSBs, sugar-sweetened beverages.

Multivariable odds ratios (ORs) and 95% confidence intervals (CIs) for hypertension across different categories of dairy consumption are illustrated in Table 2. A significant inverse association was seen between dairy consumption and the odds of hypertension; such that after adjusting for potential confounders including demographic characteristics and dietary intakes, this association remained significant (OR: 0.16, 95% CI: 0.13–0.19). Additional adjustment for BMI led to no alteration in the inverse association; such that individuals in the highest category of dairy consumption had 85% lower odds for having hypertension compared with those in the lowest category (OR: 0.15, 95% CI: 0.13–0.18).

Table 2

Odds Ratios and 95% CIs for Hypertension Across Categories of Dairy Consumption Among Whole Population (n=67,011)

	<1 serv/wk	1 serv/wk	2–3 serv/wk	≥4 serv/wk	P-trend*
N (%)	4259 (6.3)	15,458 (23.1)	31,765 (47.4)	15,529 (23.2)
Crude	1.00	0.32 (0.29–0.34)	0.10 (0.09–0.11)	0.08 (0.07–0.09)	<0.001
Model 1	1.00	0.32 (0.29–0.34)	0.10 (0.09–0.11)	0.08 (0.07–0.09)	<0.001
Model 2	1.00	0.49 (0.43–0.56)	0.24 (0.21–0.28)	0.18 (0.15–0.21)	<0.001
Model 3	1.00	0.47 (0.41–0.54)	0.22 (0.19–0.26)	0.16 (0.13–0.19)	<0.001
Model 4	1.00	0.47 (0.41–0.55)	0.22 (0.19–0.26)	0.15 (0.13–0.18)	<0.001

Notes: Data are presented as OR (95% CI). *Obtained from binary logistic regression. Model 1: adjusted for age and sex. Model 2: additionally adjusted for marital status, education, occupation, physical activity, economic status, smoking, sleep pattern, family history of hypertension and diabetes, breakfast skipping, and supplement use. Model 3: further adjustment for dietary intake of fruits, vegetables, fast foods, sugar-sweetened beverages, whole grains, and sweets. Model 4: additionally control for BMI.

Findings from the Subgroup Analysis

Multivariable ORs and 95% CIs for hypertension across categories of dairy consumption stratified by sex, BMI status and family history of hypertension are presented in Table 3. Before and after taking potential confounders into account, a significant inverse association was seen between dairy consumption and the odds of hypertension in the all subgroups including male (OR: 0.14, 95% CI: 0.11–0.18) and female (OR: 0.16, 95% CI: 0.12–0.21) individuals, normal-weight subjects (OR: 0.15, 95% CI: 0.12–0.18) and those with overweight or obesity (OR: 0.15, 95% CI: 0.11–0.21), and individuals with (OR: 0.13, 95% CI: 0.11–0.16) and without (OR: 0.24, 95% CI: 0.17–0.35) a family history of hypertension.

Table 3

Odds Ratios and 95% CIs for Hypertension Across Categories of Dairy Consumption Stratified by Sex, BMI Status and Family History of Hypertension

	<1 serv/wk	1 serv/wk	2–3 serv/wk	≥4 serv/wk	P-trend*
Males (n=29,858)
N (%)	1908 (6.4)	7110 (23.8)	14,532 (48.7)	6308 (21.1)
Crude	1.00	0.39 (0.34–0.44)	0.15 (0.13–0.17)	0.14 (0.12–0.17)	<0.001
Model 1	1.00	0.39 (0.34–0.44)	0.15 (0.13–0.17)	0.14 (0.12–0.17)	<0.001
Model 2	1.00	0.51 (0.43–0.61)	0.24 (0.20–0.29)	0.20 (0.16–0.25)	<0.001
Model 3	1.00	0.48 (0.39–0.58)	0.21 (0.17–0.26)	0.16 (0.12–0.20)	<0.001
Model 4	1.00	0.48 (0.39–0.58)	0.21 (0.17–0.25)	0.14 (0.11–0.18)	<0.001
Females (n=37,153)
N (%)	2351 (6.3)	8348 (22.5)	17,233 (46.4)	9221 (24.8)
Crude	1.00	0.28 (0.25–0.31)	0.08 (0.07–0.09)	0.05 (0.04–0.06)	<0.001
Model 1	1.00	0.28 (0.25–0.31)	0.07 (0.06–0.08)	0.05 (0.04–0.06)	<0.001
Model 2	1.00	0.46 (0.37–0.58)	0.23 (0.18–0.29)	0.16 (0.13–0.21)	<0.001
Model 3	1.00	0.45 (0.36–0.57)	0.23 (0.18–0.29)	0.16 (0.12–0.20)	<0.001
Model 4	1.00	0.46 (0.36–0.58)	0.23 (0.18–0.30)	0.16 (0.12–0.21)	<0.001
Normal-Weight (n=51,837)
N (%)	3345 (6.5)	12,382 (23.9)	24,650 (47.6)	11,461 (22.1)
Crude	1.00	0.34 (0.31–0.38)	0.10 (0.09–0.11)	0.07 (0.06–0.08)	<0.001
Model 1	1.00	0.34 (0.31–0.38)	0.10 (0.09–0.11)	0.07 (0.06–0.08)	<0.001
Model 2	1.00	0.52 (0.44–0.61)	0.24 (0.21–0.29)	0.16 (0.13–0.20)	<0.001
Model 3	1.00	0.49 (0.41–0.58)	0.23 (0.19–0.27)	0.15 (0.12–0.18)	<0.001
Overweight or Obese (n=15,174)
N (%)	914 (6.0)	3076 (20.3)	7115 (46.9)	4068 (26.8)
Crude	1.00	0.26 (0.21–0.31)	0.09 (0.08–0.11)	0.09 (0.07–0.11)	<0.001
Model 1	1.00	0.26 (0.21–0.31)	0.09 (0.08–0.11)	0.09 (0.07–0.11)	<0.001
Model 2	1.00	0.40 (0.31–0.52)	0.21 (0.16–0.27)	0.18 (0.14–0.24)	<0.001
Model 3	1.00	0.39 (0.30–0.51)	0.19 (0.15–0.25)	0.15 (0.11–0.21)	<0.001
Not-Having Family History of Hypertension (n=53,926)
N (%)	3344 (6.2)	12,348 (22.9)	25,701 (47.7)	12,533 (23.2)
Crude	1.00	0.30 (0.28–0.34)	0.10 (0.09–0.11)	0.07 (0.06–0.08)	<0.001
Model 1	1.00	0.30 (0.28–0.34)	0.10 (0.09–0.11)	0.07 (0.06–0.08)	<0.001
Model 2	1.00	0.48 (0.41–0.56)	0.23 (0.20–0.27)	0.16 (0.13–0.19)	<0.001
Model 3	1.00	0.45 (0.39–0.53)	0.21 (0.18–0.25)	0.14 (0.11–0.17)	<0.001
Model 4	1.00	0.46 (0.39–0.54)	0.21 (0.18–0.25)	0.13 (0.11–0.16)	<0.001
Having Family History of Hypertension (n=13,085)
N (%)	915 (7.0)	3110 (23.8)	6064 (46.3)	2996 (22.9)
Crude	1.00	0.36 (0.30–0.43)	0.12 (0.10–0.15)	0.12 (0.09–0.15)	<0.001
Model 1	1.00	0.36 (0.30–0.43)	0.12 (0.10–0.14)	0.11 (0.09–0.14)	<0.001
Model 2	1.00	0.55 (0.41–0.73)	0.28 (0.21–0.37)	0.28 (0.20–0.39)	<0.001
Model 3	1.00	0.52 (0.39–0.71)	0.27 (0.20–0.36)	0.26 (0.18–0.36)	<0.001
Model 4	1.00	0.53 (0.39–0.72)	0.26 (0.19–0.72)	0.24 (0.17–0.35)	<0.001

Notes: Data are presented as OR (95% CI). *Obtained from binary logistic regression, Model 1: adjusted for age and sex (not included in the sex-stratified analysis). Model 2: additionally adjusted for marital status, education, occupation, physical activity, economic status, smoking, sleep pattern, family history of hypertension (not included in the stratified analysis based on family history of hypertension) and diabetes, breakfast skipping and supplement use. Model 3: further adjustment for dietary intake of fruits, vegetables, fast foods, sugar-sweetened beverages, whole grains, and sweets and desserts. Model 4: additionally control for BMI (not included in the BMI status-stratified analysis).

Discussion

In the current study, we found that dairy consumption was inversely associated with the odds of hypertension. This association was significant even after controlling for potential confounding variables. Such a significant inverse association was also observed among males, females, normal-weight individuals, those with overweight or obesity and participants with and without a family history of hypertension. To the best of our knowledge, the current study is the first to investigate the association between dairy consumption and hypertension among university students in the Middle East.

The prevalence of hypertension has been increasing at an alarming rate.23,27 Different approaches including diet modifications have been introduced for preventing and controlling cardiovascular diseases such as hypertension.22,28-30 Dairy products contain minerals and bioactive compounds with antihypertensive properties.6,7 However, discrepant findings are available on the association between dairy consumption and hypertension. In the current study, we found a significant inverse association between dairy consumption and the odds of hypertension. Our findings were comparable with the study of Alonso et al, in which 5880 university graduates, aged >20 years, were followed for 2 years and the authors found that the hazard ratio (HR) of hypertension for extreme quintiles of low-fat dairy product consumption was 0.46 (95% CI: 0.26, 0.84) after adjustment for the main known risk factors for hypertension and several dietary factors. In that study, no significant association between whole-fat dairy products or total calcium intake and incident hypertension was reported.19 Also, in the study of Steffen et al which was done on 4304 participants aged 18–30 years at baseline and followed them for 15 years, intake of dairy desserts was associated with 28% lower risk of hypertension (HR: 0.74, 95% CI: 0.60, 0.92).31 In the Rotterdam study which was performed on 2245 adults, after 2 years follow-up, HRs of hypertension were 0.76 (95% CI: 0.61, 0.95) and 0.69 (95% CI: 0.56, 0.86) for the highest versus lowest quartile of total dairy and low-fat dairy consumption, respectively.32 However, these risk reductions became non-significant after 6 years follow-up. In another prospective cohort study, Weng et al reported that dairy product consumption in combination with nuts decreased the incidence of hypertension.33 In the study of Buendia et al who combined three datasets of Nurses’ Health Study (NHS), NHS II, and Health Professionals Follow-Up Study (HPFS), higher total dairy intake, especially in the form of yogurt, was associated with a lower risk of incident hypertension in middle-aged and older adult men and women.34 In addition to the preventive effects of dairy consumption on the incidence of hypertension, it may have a benefit for patients with hypertension. Lana et al reported that moderate consumption of low-fat milk/yogurt was associated with lower 24-hour diastolic blood pressure and better blood pressure control among older adults with hypertension.6 Contrary to our findings, Heraclides et al reported that intake of total dairy or specific dairy products was not associated with blood pressure and incident hypertension among a representative sample of British adults after 10 years follow-up.35 The observed discrepancies might be due to different processing and cooking methods of dairy products in different nations which may affect the quality of dairy products. Moreover, the lack of adjustment for important confounders might be another reason for the discrepancy. For example, in the study of Heraclides et al in which dairy consumption was not significantly associated with hypertension, some potential confounders including age, sex, family history of hypertension, and use of nutritional supplements were not controlled, while in the current study, we took the confounders into account.

In the current study, despite the higher prevalence of obesity in the highest versus lowest category of dairy consumption, the odds of hypertension was reduced in this comparison. Obesity is a known risk factor for hypertension.36 Although the confounding effect of obesity was adjusted in the current analysis, the observed disparity might be explained by other factors related to hypertension. For instance, students in the highest category of dairy consumption, despite the obesity, had greater intakes of fruits and vegetables, lower intakes of fast foods and SSBs, and were more likely to be physically active and non-smokers compared with those in the lowest category. Therefore, the beneficial effects of these factors can alleviate the adverse effect of obesity on blood pressure.4,5,23

University students usually have different dietary behaviors compared with others.17,18 Food choices of this population might be affected by several factors including food prices, busy daily life, and preferences.16 Therefore, students prefer to consume cheap or ready-to-eat foods such as fast foods, snacks, and sweets.18,37 However, due to the moderate-to-high cost of dairy products in Iran, the consumption of these products is estimated to be low among university students.7,14 As seen in the current study, only 23.2% of students consumed ≥4 serv/wk dairy products (Table 1). These students were defined as high dairy consumers in this study. Although they had low consumption of dairy products (≥4 serv/wk) compared with high dairy consumers (>3 serv/day) in studies performed on Western populations,31 this low amount also provides the protective association between dairy consumption and hypertension.

In the current study, we could not determine the type of hypertension (primary and secondary) due to the lack of required data. The etiology of primary hypertension is unknown, but secondary hypertension is due to an identifiable cause.38 Since secondary hypertension occurs in early ages,38 most cases of hypertension in the current study may be secondary. However, it has been shown that the prevalence of primary hypertension among children, adolescences, and young adults is increasing at an alarming rate.39 For instance, recent reports from the US population demonstrated that primary hypertension is prevalent among >10% of children and adolescences which rises by increasing age.39 This increment is due to the obesity epidemic, unhealthy dietary behaviors, and sedentary lifestyle in these age groups.40 Overall, it can be concluded that both cases of primary and secondary hypertension were present in the current study that both are affected by dietary factors.

Several mechanisms have been proposed for the inverse association between dairy consumption and hypertension. Dairy products are rich sources of potassium, magnesium, phosphorus, and vitamin D,11 all of which are involved in the BP-lowering effects of dairy products such as regulation of vascular resistance and promotion of vasodilation by enhancing the synthesis of nitric oxide, reducing renal sodium retention, blocking calcium channels and reducing intracellular calcium.41–45 Moreover, bioactive peptides that are released during dairy protein digestion have an inhibitory effect on ACE resulting in reduced blood levels of angiotensin, preventing blood vessel constriction, and modulating endothelial function.46,47 Furthermore, specific peptides present in dairy products may reduce the secretion of endothelin-1 by endothelial cells.48,49 Endothelins are proteins that contribute to the constriction of blood vessels, thereby raising blood pressure.48

This study has several strengths. A wide range of confounders including socio-demographic variables, dietary intakes of selected food groups and BMI were controlled in the analyses. In addition to the whole population, we performed stratified analyses based on sex, BMI status and family history of hypertension. Despite these strengths, some limitations should be taken into account for interpreting our findings. Since the design of our study was cross-sectional, we could not confer a causal association between dairy consumption and the odds of hypertension. Due to the large sample size of the MEPHASOUS project and in order to fill the questionnaire in minimum time, we had to apply a short form of dietary habits questionnaire which contained the foods that are usually consumed by students. Therefore, no items for individual dairy products and their quality (such as low/high-fat dairy) were not present in that questionnaire. Hence, in the current study, we were unable to assess the association of individual dairy products and their quality with hypertension. Besides, due to the lack of data for all food items that students usually consume, we could not calculate total energy intake. Therefore, adjustment for total energy intake that is an important confounder in diet-disease relationships was impossible in the current study. However, we controlled for intakes of all food groups that were assessed in the current study to diminish the confounding effect of energy intake. Also, given that BMI is positively associated with total energy intake, adjustment for this variable could reduce the confounding effect of energy intake on the association between dairy consumption and hypertension. In addition, we did not adjust for dietary intake of sodium which has a major contribution to hypertension.50 However, intake of some sodium-rich food groups such as fast foods was controlled in the analysis. Fast foods are the most commonly used snacks among Iranian adults.51 However, we cannot exclude the effects of other sodium-containing foods such as salt and salty nuts on the association between dairy consumption and hypertension. Unfortunately, we did not collect data on intakes of these foods in the MEPHASOUS project. Therefore, our findings should be considered with caution. In the current study, only health insurance (having/not-having) was considered as an index for evaluation of economic status. We had no information on other factors related to economic status such as house possession or having a car to evaluate economic status more accurately; however, based on previous studies, health insurance is an important indicator of economic well-being around the world.52,53 Although a validated questionnaire was applied to assess dietary intakes in our study, the closed-end response nature of the questionnaire might increase the rate of misclassification. There is a 7–8 year gap between data collection and analysis in the current study. Despite the big gap, we think that our results reflect the present hypertension scenario because they were in line with the findings of several studies that examined the association between dairy consumption and hypertension. The presence of recall bias in this study, like other questionnaire-based cross-sectional studies, is unavoidable. However, since the study participants were high-educated, this bias in the present study may be lower than other studies that were performed on low-educated participants.

In conclusion, we found that dairy consumption was inversely associated with odds of hypertension. Such an inverse association was also found in males, females, normal-weight individuals, those with overweight or obesity and participants with and without a family history of hypertension. Further studies, particularly randomized clinical trials, are needed to determine the effects of dairy consumption on blood pressure in healthy individuals and those with elevated blood pressure.