1. Introduction

Pharmacology & Pharmacy

2157-9423

Scientific Research Publishing

10.4236/pp.2014.57070

PP-46785

Articles

MEDICINE & HEALTHCARECHEMISTRY & MATERIALS SCIENCE

Dietary Magnesium Intake Related to C-Reactive Protein in Newly Diagnosed Coronary Heart Disease Patients at Middle Zone, Gaza Strip. A Hospital Based Study

Jehad

H. El-Hissi

¹Adham

I. Ahmed

²^*Ihab

M. Al-Masri

³Mazen

A. El-Sakka

³Atef

A. Masad

⁴Ahmed

A. Najem

⁵

Faculty of Intermediate Studies, University of Palestine, Gaza, Palestine

Faculty of Medicine, Al-Azhar University, Gaza, Palestine

Al-Aqsa Martyr’s Hospital, Ministry of Health, Dier El-Balah, Palestine

Faculty of Pharmacy, Al-Azhar University, Gaza, Palestine

Faculty of Science, The Islamic University, Gaza, Palestine

* E-mail:Rn.Adham@gmail.com(AIA);

13062014

05076016118 February 2014 15 May 2014 4 June2014

2014

This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/

Coronary Heart Disease (CHD) is a highly prevalent disease all over the world. Magnesium (Mg) plays a role in CHD but it is still unclear. C-Reactive Protein (CRP) is an inflammatory marker which may rise in CHD. Aim of study: To assess the impact of dietary Mg intake and its level in relation to CRP among newly diagnosed CHD at middle zone of Gaza Strip. Methodology: Patients (n = 140) with confirmed CHD, 50 ± 10 years, presented in the cardiac care unit at Aqsa Martyr’s Hospital between 1 April 2012 and 30 December 2012, were enrolled in this cross-sectional study after taking consent. ECG, clinical status, and cardiac markers were used to confirm diagnosis by cardiologist. Food frequency questionnaire was used to assess Mg intake and calcium intake in addition to measurement of its level in serum. CRP latex slide was used for measurement of CRP. Results: Mg intake and serum Mg were inversely associated with risk of CHD. Mean of serum Mg among cases (1.80) was lower than controls (2.41) (P = 0.001). Percent of positive CRP was higher in cases (32.9%) than controls (12.9%) (P = 0.005). Mean of serum Mg was (1.96 ± 0.47) for positive CRP which was lower than the mean of serum Mg (2.15 ± 0.44) for negative CRP. Conclusion: Newly diagnosed patients with CHD have a positive CRP, low serum and low Mg intake, and low serum Mg was associated with elevated CRP.

Coronary Heart Disease C-Reactive Protein Magnesium Dietary Behavior Life Style

1. Introduction

Cardiovascular disease (CVD) is considered as the first leading cause of death in the world [1] . In 2008, ac- cording to the WHO, 17 million died due to CVDs, therefore it is considered as the top-leading cause of death among non-communicable diseases worldwide [2] .

Mg has a very important role in proper functioning of the human body, especially the cardiovascular system. Mg deficiency in the body is associated with different risk factors for CVDs and atherogenesis such as increas- ing oxidative stress, cytokine synthesis, nitrogen oxides and mediators of inflammation and adhesion molecules on microvascular endothelial cells [3] . A possible role of Mg in the etiology of ischemic heart disease is still not sufficiently clear and it is likely that several mechanisms are involved. Other studies demonstrate that increased intake of dietary Mg may lower blood triglyceride level and increase high-density lipoprotein [4] . Numerous studies pointed to an inverse relationship between Mg intake through diet and the incidence of CVD [5] [6] .

We hypothesized that this association might be explained, in part, by the anti-inflammatory properties of Mg [3] . Few studies revealed that individuals with intakes below the recommended dietary allowances are more likely to have elevated level of an inflammatory marker called CRP, which may contribute to CVD risk [7] .

To clarify these uncertainties, we examined the association between dietary and plasma Mg and risk of CHD among newly diagnosed CHD patients in the middle zone of the Gaza Strip. In addition to evaluate whether the association between Mg and CHD could be explained fully through traditional cardiovascular pathways, we used specific inclusion criteria.

2. Subjects and Methods2.1. Study Design

A case-control study was conducted in Al-Aqsa martyrs’ hospital, Dier Al-Balah. The type of this study design is used widely, often in epidemiology. It is a type of observational study in which two existing groups differing in outcome are identified and compared on the basis of some supposed causal attribute.

2.2. Study Population and Sampling

The target population was hospitalized patients in cardiac care unit with CHD and patients and their fellows with- out any suspicion of CHD at other departments who are 50 ± 10 years. They were recruited according to the inclu- sion criteria in the study after getting their consent. A Purposeful, non-random sample included 140 participants divided into two groups according to the eligibility criteria. Participants were allocated into: Group A (n = 70) patients with newly diagnosed with CHD; Group B (n = 70) patients without any suspicion of CHD and their fellows.

Selection Criteria

Subjects who were eligible to participate in the study were those who met the following criteria.

2.3. Inclusion Criteria• 2.3.1. Cases

• Patients diagnosed with acute CHD who are 50 ± 10 years.

• Evident ischemic ECG abnormalities.

• 2.3.2. Controls

• Patients without CHD.

• Patients who 50 ± 10 years.

• No any history of health problem related to the heart.

• Normal ECG.

• 2.3.3. Exclusion Criteria (for Cases and Controls)

• Those diagnosed with congestive heart failure, gastrointestinal disease, liver or kidney diseases, diabetes mellitus, hyperthyroidism or hyperparathyroidism.

• Patients post recent acute infection, recent trauma or surgical intervention.

• Those who were taking insulin preparations, vitamin-mineral supplements, hormone replacement therapy, or intake of any medication may cause hypomagnesaemia or hypomagnesaemia and also pregnant or lactating women.

2.4. End-Point Ascertainment and Definitions

CHD occurs when a substance called plaque builds up in coronary arteries that lead to arteriosclerosis which is leading-cause of myocardial ischemia and myocardial infarction [8] . Participants included were divided into cases and controls, and defined by cardiologists depending on clinical status, ECG, and biochemical investiga- tions included cardiac markers. Normal Mg level is (1.8 - 2.3) mg/dL. Hypomagnesaemia was considered when serum Mg level below (<1.8) mg/dL. It was categorized into three levels including mild (1.6 - 1.8 mg/dL), mod- erate (1.3 - 1.5 mg/dL), and sever (<1.2 mg/dL) [9] . Serum CRP level was determined using slide agglutination test and reference value was (up to 6 mg/L) [10] .

2.5. Assessment of Dietary Magnesium Intake

Data on usual diet was ascertained by using the food frequency questionnaires. For each food item, each partici- pant was asked how often, on average, he/she had consumed a specified portion size over the past month. We made a list of the richest food of Mg available depending on the United States Agriculture Department (USDA) food database [11] . The t test was used to assess the difference of servings consumed among participants.

2.6. Measurement of Biochemical Variables

Serum Mg and Calcium were detected by colorimetric methods in the serum of cases and controls by spectro- photometer machine with a kit from (DiaSys Diagnostic Systems GmbH—Germany) [23] , and also serum CRP was measured by the latex agglutination machine with a kit from (Inmesco GmbH—Germany) CRP latex slide test (serology kit) is used for the semi-quantitative measurement [24] .

2.7. Assessment of Coronary Heart Disease

Cardiologists were selected the new cases with CHD and confirmed the diagnosis of CHD on the basis of the criteria of the WHO (symptoms plus either diagnostic ECG changes or elevated levels of cardiac enzymes) [25] .

2.8. Assessment of Other Factors

Lifestyle and dietary data were derived from the questionnaire administered. Intake of saturated-fat food was assessed by a short fat questionnaire designed by Australian Journal of Public Health [12] . Average of Mg rich food intake was computed with the use of a semi quantitative food-frequency questionnaire. The questionnaires were validated by a specialists and face validity was used for other measurements.

2.9. Statistical Analysis

Statistical Package for the Social Sciences (SPSS) program version 19 [13] was used for data analysis which in- cludes cross tabulations of the results and Chi square test for categorical data, odds ratio and the confidence in- terval was the statistical tool used to assess the association between family members, income per month, and family history, smoking status, exposure to others smoke, and clinical manifestations of hypomagnesaemia. T- test for quantitative data analysis was used to compare means of serum Mg, Calcium and CRP levels between cases and controls. P value was used for measuring statistical difference between discrete variables.

2.10. Ethical Consideration

We get all of required ethical approvals including dean of postgraduate studies & research affairs, dean of col- lege of pharmacy, Ministry of Health and informed consent of the participants.

3. Results3.1. Baseline Characteristics of Participants

Regarding the gender, it was noticed that the percent of male gender (62.1%) was higher than females (37.9%) among all the participants and among cases and controls. However, no statistically significant difference was found between cases and controls regarding the gender of participants (P = 0.222).

The mean ages of study population were 51.69 ± 5.7 years and 49.86 ± 6.8 years for case and controls, re- spectively. The mean age of male participants was 50.36 (±6.5) years and for females was 51.45 (±6.0) years. Participants’ age was divided into three categories one of them is less than 45 years old, from 45 to 55 years and more than 55 years. The majority of participants’ age was from 45 - 55 years (48.6%) as shown in Table 1.

Education level of participants was categorized into illiterate, basic, secondary, “diploma or bachelor” and “master or PhD”. According to the results obtained in Table 2, the percent of participants who have “diploma or bachelor” degree was the highest among participants (41.4%). On the other hand, the percent of cases having

Table 1

. Personal and socioeconomic characteristics of participants.

Variables	Cases No (%)	Controls No (%)	Total	P Value
Gender
Male	47 (67.1%)	40 (57.1%)	87 (62.1%)	0.222
Female	23 (32.9%)	30 (42.9%)	53 (37.9%)	0.222
Age
Less than 45 Years	10 (14.3%)	22 (31.4%)	32 (22.9%)	0.048^*
From 45 - 55 Years	39 (55.7%)	29 (41.4%)	68 (48.6%)
More than 55 Years	21 (30.0%)	19 (27.1%)	40 (28.6%)
Education Level
Illiterate	2 (2.9%)	1 (1.4%)	3 (2.1%)	0.001^*
Basic	17 (24.3%)	6 (8.6%)	23 (16.4%)
Secondary	30 (42.9%)	20 (28.6%)	50 (35.7%)
Diploma/Bachelor	19 (27.1%)	39 (57.7%)	58 (41.4%)
Master or PhD	2 (2.9%)	4 (5.7%)	6 (4.3%)
Employment Status
Employed	17 (24.3%)	26 (37.1%)	43 (30.7%)	0.167
Unemployed	35 (50.0%)	25 (35.7%)	60 (42.9%)
Self-Employed	18 (25.7%)	19 (27.1%)	37 (26.4%)
Family Income
<2$/day/capita	31 (44.3%)	17 (24.3%)	48 (34.3%)	0.01^*
≥2$/day/capita	39 (55.7%)	53 (75.7%)	92 (65.7%)	0.01^*
Family Members
Less than 5 Members	13 (18.6%)	23 (32.9%)	36 (25.7%)	0.024^*
From 5 - 10 Members	50 (71.4%)	46 (65.7%)	96 (68.6%)
More than 10 Members	7 (10.0%)	1 (1.4%)	8 (5.7%)

^*Statistically significant.

Table 2

. Life style of participants.

Variables	Cases No (%)	Controls No (%)	Total	P Value
Smoking Status
Smoker	39 (55.7%)	22 (31.4%)	61 (43.6%)	0.004^*
Non Smoker	31 (44.3%)	48 (68.6%)	79 (56.4%)	0.004^*
Passive Smokers
Exposed to Other’s Smoke	30 (42.9%)	13 (18.6%)	43 (30.7%)	0.002^*
Non-Exposed to Other’s Smoke	40 (57.1%)	57 (81.4%)	97 (69.3%)	0.002^*
Saturated Fat Consumption
Low to Moderate	20 (28.6%)	30 (42.9%)	50 (35.7%)	0.045^*
Moderate	30 (42.9%)	31 (44.3%)	61 (43.6%)
Moderate to High	20 (28.6%)	9 (12.9%)	29 (20.7%)

^*Statistically significant.

“diploma or bachelor” degree (27.1%) was lower than controls (57.7%) and this difference was found to be sta- tistically significant (P = 0.001, Table 1).

The employment status was divided into 3 groups included employed, unemployed and self-employed partici- pants. According to the results shown in Table 2, most of the participants were unemployed (42.9%). Among cases, the percent of unemployment (50.0%) was higher than controls (35.7%), however, the difference was not statistically significant (P = 0.16, Table 1).

Family income data was analyzed in a way to determine income per capita per day. Income per capita was grouped into two categories according to the poverty line endorsed by The World Bank: those with income of less than 2 American dollars ($) per day and those with 2 $ per day or more [14] .

Table 1 shows that the percentage of participants with two or more dollars per day (65.7%) is higher than other category (34.3%). In cases, the percent of participants with two or more dollars per day (55.7%) was high- er than those with daily income less than two dollars (44.3%). Nevertheless, the percent of cases with less than two dollars daily (44.3%) were higher than controls (24.3%) and this difference was statistically significant (P = 0.01).

The number of family members was categorized into three groups: less than five, from five to ten and more than ten members as shown in Table 1. The highest group of family members was between five to ten (68.6%).

The percentages of cases living with family of 5 - 10 members (71.4%) and more than 10 members (10.0%) were higher than controls (65.7% and 1.4%, respectively) and this difference was statistically significant (P = 0.024).

As shown in Table 2, the percent of smokers among cases (55.7%) was higher than controls (31.4%) and this difference was statistically significant (P = 0.004).

The percent of participants exposed to other’s smoke (30.7%) was found to be lower than non-exposed per- sons (69.3%). However, Table 4 shows that the percent of exposure to other’s smoke among cases (42.9%) was higher than controls (31.4%) and this difference was statistically significant (P = 0.002).

The data collected in Table 2 show that the majority of participants (43.6%) were consuming moderately saturated fat-rich food. The percent of participants who consumed saturated fat-rich food in “low to moderate” level was (35.7%), whereas those consumed “Moderate to High” level was (20.7%). In this study, the percent of cases who consumed “Moderate to High” saturated fat (28.6%) were higher than controls (12.9%). On the other hand, the percent of controls who consumed “Low to Moderate” saturated fat were (42.9%) higher than cases (28.6%) and these differences were found to be statistically significant (P = 0.045).

Hypertension

The collected data in Table 3 show that the majority of participants had a family history of high blood pres- sure “Hypertension” (58.2%). However, family history of hypertension among cases (72.9%) was much higher than among controls (44.3%) and this disparity was statistically very significant (P = 0.001).

Table 3

. Family history of participants.

Variables		Cases No (%)	Controls No (%)	Total	P Value
Hypertension	Positive	51 (72.9%)	31 (44.3%)	82 (58.6%)	0.001^*
Hypertension	Negative	19 (27.1%)	39 (55.7%)	58 (41.4%)	0.001^*
High Blood Cholesterol	Positive	21 (30.0%)	7 (10.0%)	28 (20%)	0.003^*
High Blood Cholesterol	Negative	49 (70.0%)	63 (90.0%)	112 (80%)	0.003^*
Heart Diseases	Positive	34 (48.6%)	14 (20.0%)	48 (34.3%)	0.000^*
Heart Diseases	Negative	36 (51.4%)	56 (80.0%)	92 (65.7%)	0.000^*
Obesity	Positive	29 (41.4%)	18 (25.7%)	47 (33.6%)	0.049^*
Obesity	Negative	41 (58.6%)	52 (74.3%)	93 (66.4%)	0.049^*
Diabetes Mellitus	Positive	34 (48.6%)	21 (30.0%)	55 (39.3%)	0.024^*
Diabetes Mellitus	Negative	36 (51.4%)	49 (70.0%)	85 (60.7%)	0.024^*
Cancer	Positive	4 (5.7%)	7 (10.0%)	11 (7.9%)	0.346
Cancer	Negative	66 (94.3%)	63 (90.0%)	129 (92.1%)	0.346
Gastrointestinal Diseases	Positive	8 (11.4%)	3 (4.3%)	11 (7.9%)	0.116
Gastrointestinal Diseases	Negative	62 (88.6%)	67 (95.7%)	129 (92.1%)	0.116
Allergies or Asthma	Positive	9 (12.9%)	4 (5.7%)	13 (9.3%)	0.145
Allergies or Asthma	Negative	61 (87.1%)	66 (94.3%)	127 (90.7%)	0.145
Psychological Disorders	Positive	1 (1.4%)	4 (5.7%)	5 (3.6%)	0.172
Psychological Disorders	Negative	69 (98.6%)	66 (94.3%)	135 (96.4%)	0.172

^*Statistically significant.

High blood cholesterol

The results shown in Table 3 demonstrate that there is a statistically significance difference between cases and controls regarding the family history of high blood cholesterol (P = 0.003) as the number of cases with family history of high cholesterol (21) was higher than controls (7).

Heart diseases

The percent of cases with family history of heart disease (48.6%) was statistically much higher than controls (20%) (P = 0.000) as shown in Table 3.

Obesity

A statistically significant difference was found between cases and controls regarding family history of obesity (P = 0.049) as shown in Table 3. The percent among cases (41.4%) is higher than controls (25.7%).

Diabetes mellitus

It’s noticed that the percent of cases with family history of diabetes mellitus (48.6%) is higher than controls (30.0%) and this disparity was found to be statistically significant (P = 0.024, Table 3).

Other diseases

The results of this study revealed that there is no statistically significance difference between cases and con- trols regarding other diseases such as cancer, gastrointestinal disease, allergies, asthma and psychological dis- orders (P > 0.05, Table 3).

3.2. Clinical Cutoff Points for Magnesium3.2.1. Magnesium-Rich Food Intake

Independent t-test was used to compare the means of the number of servings of different types of food rich with Mg. In our study, it was found that cases consumed more servings of cabbage, while controls consumed more servings of molokhia, okra, potatoes and tomatoes. However, there was no statistically significant difference between cases and controls regarding the servings of different vegetables consumed by participants (P > 0.05). Also, the results were revealed that there is no significant difference between cases and controls regarding the means of servings of dates, raisins, banana and grapes consumed by participants (P > 0.05). On the other hand, there was a statistically significant difference between the means of servings consumed of melons and apples.

Regarding to grains, nuts, seeds and legumes the results shown that the number of servings of whole meal bread and cooked bulgur were higher in control than cases. However, only the bulgur intake difference was sta- tistically significant (P < 0.05). On the other hand, the number of servings of white bread was higher in cases than controls, however this difference was not statistically significant (P = 0.761). Regarding the intake of nuts and seeds, it was found that controls consumed more servings of watermelon seeds, pumpkin seeds, sesame seeds; sunflower seeds; cashew; pistachio; peanut; chocolate; tahini in comparison to cases and these differences were found to be statistically significant except for pistachio, peanut and tahini (P > 0.05). On the other hand, the intake of almond was slightly higher in cases than controls but without statistical significance (P = 0.543). It was found that cases consumed more servings of legumes (beans and lentils) than controls; however, this dif- ference was not statistically significant (P > 0.05). There was no significant difference between cases and con- trols regarding the consumption of coffee (P = 0.828). The mean of servings of cocoa consumed by controls was higher than cases that reached to be statistically significant (P = 0.002). The mean of servings of whole milk consumed by controls was higher than cases and this difference was statistically significant (P = 0.092).

3.2.2. Serum Magnesium

The participants were divided into three groups according to their serum Mg level: low (<1.8) mg/dL, normal (1.8 - 2.3) mg/dL and high (>2.3) mg/dL. The results obtained in revealed 48.6% of cases have low serum Mg level when compared with 4.3% of controls with statistical significant difference (P = 0.001, Table 4). The mean of Mg level among the cases (1.80) was found to be lower than the controls (2.41) and these differences were of high statistical significance (P = 0.001) as shown in Figure 1.

Figure 2 shows the total participants with serum Mg level low (<1.8) mg/dL were 37, hypomagnesmia was categorized into three levels including mild (1.6 - 1.8 mg/dL) represented 45.9%, moderate (1.3 - 1.5 mg/dL) represented 45.9%, and sever (<1.2 mg/dL) represented 8.10%.

3.3. Association between Serum Magnesium and C-Reactive Protein

Table 5 revealed that 22.9% of participants have positive CRP while, 77.1% of them have negative CRP; the

Table 4

. Clinical cutoff points for serum magnesium among participants.

Variables		Cases No (%)	Controls No (%)	Total	P value
Serum Magnesium	Low (<1.8) mg/dL	34 (48.6%)	3 (4.3%)	37 (26.4%)	0.001^*
	Normal (1.8 - 2.3) mg/dL	31 (44.3%)	21 (30.0%)	52 (37.1%)
	High (>2.3) mg/dL	5 (7.1%)	46 (65.7%)	51 (36.4%)
	Total	70 (100%)	70 (100%)	140 (100%)

^*Statistically significant (P-value < 0.05).

Figure 1

The mean of serum Mg level among participants

mean of serum Mg was (1.96 ± 0.47) for positive CRP participants which was lower than the mean of serum Mg (2.15 ± 0.44) for negative CRP participants, with statistical significance (P = 0.03).

3.4. Clinical Cutoff Points for C-Reactive Protein

The data collected showed that 32.9% of cases have positive CRP results when compared with 12.9% of con- trols and this difference was statistically significant (P = 0.005) as shown in Table 6.

4. Discussion

In this retrospective case control study, we found a modest inverse association between dietary Mg intake and serum Mg in relation to risk of CHD that did reach statistical significance. Percent of cases with low ‎Serum ‎Mg was (‎48.6%‎) ‎which is ‎higher than controls (‎4.3%‎) ‎ and the mean of serum ‎Mg ‎of participants among cases was (1.80 mg/dL) lower than ‎controls (2.41 mg/dL) (P = 0.001). ‎‎The result of present study agrees with the study ‎of ‎(Altura et al., 2007)‎ that concluded Mg deficiency in the body is associated with ‎different risk factors for CVDs and atherogenesis such as increasing ‎oxidative stress, cytokine synthesis, ‎nitrogen oxides and media- tors of inflammation and ‎adhesion molecules on microvascular ‎endothelial cells.‎

Authors [15] sought to investigate the relationship between dietary ‎Mg intake and mortality due to CVD in population-based sample ‎of Asian adults. Reported findings are based on dietary Mg intake in 58,615 ‎healthy Japanese aged 40 - 79 years, in Japan Collaborative Cohort (JACC) Study. Dietary Mg intake was assessed by a validated food frequency questionnaire ‎administered between 1988 and 1990. During the median 14.7-year fol- low-up, authors was ‎documented 2690 deaths due to CVD, comprising 1227 deaths from ‎strokes and 557 deaths of CHD. They was concluded that dietary Mg intake was ‎inversely associated with mortality from hemorrhagic stroke in men and with mortality ‎from total and ischemic strokes, CHD, heart failure and total CVD ‎especially in women.‎

Figure 2

Levels of hypomagnesaemia among participants

Table 5

. Independent t test comparing the means of Mg and CRP.

Variable		Number	Mean	SD	t	P Value
CRP	Negative	108 (77.1%)	2.15	0.44	2.10	0.03
CRP	Positive	32 (22.9%)	1.96	0.47	2.02	0.03

Table 6

. Clinical cutoff points for C-reactive protein.

Variables		Cases No (%)	Controls No (%)	Total	P Value
C-RP	Positive	23 (32.9%)	9 (12.9%)	32 (22.9%)	0.005^*
	Negative	47 (67.1%)	61 (87.1%)	108 (77.1%)
	Total	70 (100%)	70 (100%)	140 (100%)

The deficiency of Mg may be caused by eating cooked and processed food which is ‎considered as a common dietary habit among people of Gaza Strip, this proved by ‎‎Swaminathan [16] who reported cooking, especially boiling of Mg-rich food ‎results in significant loss of Mg and also [17] who reported that the ‎intake of processed and cooked is highly prevalent in many populations with low Mg ‎intake.‎ Low serum Mg reflects low dietary in- take of Mg which was more evident among cases, depending on the literature review there is association be- tween low Mg intake and risk factors for CVD, atherogenesis, increasing mediators of inflammation, and adhe- sion molecules on microvascular endothelial cells including coronary arteries which provides blood supply to the heart. Furthermore, low dietary Mg intake is associated with increased triglyceride and low-density lipo- protein (LDL) cholesterol levels which are considered as strong indicator for development of CHD.

We found ‎a direct strong relationship ‎between ‎CRP ‎and the development of CHD, in which the percent of cases with positive CRP‎ was (32.9%) higher than controls (12.9%). There was statistically significant ‎relationship that may explained by a role of inflammatory process during the development of CHD. ‎The result of present study agrees with the study of [18] that ‎concluded Mg depletion to be associated with elevated ‎hs-CRP ‎levels, suggesting that hypomagnesaemia and low-grade inflammation are ‎interactive risk ‎factors. In addition, it agrees with the cohort study conducted by [19] ‎which included 1653 adults ‎and revealed a relationship between lower Mg and ‎fiber intakes and increased level of hs-CRP.

We found ‎an inverse relationship ‎between‎ Mg and CRP, in which 22.9% of participants have positive CRP while, 77.1% of them have negative CRP; the mean of serum Mg was (1.96 ± 0.47) for positive CRP partici- pants which was lower than the mean of serum Mg (2.15 ± 0.44) for negative CRP participants, without statis- tical significance.‎ The result of present study agrees with the study of Guerrero-Romero & Rodríguez-Morán‎ [20] that ‎concluded low serum Mg levels are independently related to elevated CRP concentration. In addition it agrees with the context of a review article titled with “Mg: Novel Applications in CVD—A Review of the Lite- rature” which authored by [21] ‎ focused on the relationship between‎ Mg and CRP and concluded that hypomag- nesaemia results in increased CRP and platelet dysfunction, which can lead to thrombosis.

We found ‎a direct strong relationship ‎between‎ Serum ‎Ca ‎and ‎development of CHD, which the percent of cases with low Serum Ca ‎was (7.1%) ‎higher than controls (1.4%) ‎with ‎statistical significance (P = 0.011). The result of ‎present study contradicts with (Lu, et al., 2012) who concluded that the results of ‎their study were inconsistent and the pooled data do not strongly support a significant ‎effect of greater dietary Ca intake on the risk of CAD. On the other hand, many studies revealed association between the effects of hypomagnesmia over Ca in the body that leads to hypocalcaemia. Studies showed that a reduction in extracellular Mg concentration stimulated the secretion of parathyroid hormone (PTH) in the absence of changes in Ca concentration [22] .

5. Conclusion

In conclusion, we found that decreased Mg intake was possibly associated with a higher risk of CHD among adults. Whereas the causal effect of Mg is not certain. In spite of that there is sufficient reason to encourage a balanced diet rich in Mg sources, such as whole grains, nuts, fruits and vegetables which are protective against the risk of CHD.

Acknowledgements

We are very much thankful to the deanship of postgraduate studies & research affairs of Al-Azhar University, deanship of college of pharmacy, ministry of health, Al-Aqsa martyrs’ hospital, special thanks to my uncle in law Mr. Tayseer Ahmed, my friend Mr. Mohammed Najem “Lab. technician” and to the team of Intensive Car- diac Care Unit for their ‎cooperation and assistance in data collection. Finally, I would thank all the patients and volunteers who participated in this study. To all of these individuals I owe many thanks for their insights and unlimited support.

NOTES@endMarkP#wang#_title:ep!!!

^*Corresponding author.

References1

BERNARD

J.G.

, SLIWA

, MAYOSI

B.M.

, YUSUF

,et al. (2010)THEEPIDEMIC OF CARDIOVASCULAR DISEASE IN THE DEVELOPING WORLD: GLOBAL IMPLICATIONS EUROPEAN HEART JOURNAL 31, 642-648.HTTP://DX.DOI.ORG/10.1093/EURHEARTJ/EHQ030

WHO (2012) GLOBAL HEALTH OBSERVATORY (GHO) DEATHS FROM CVD SITUATION.HTTP://WWW.WHO.INT/GHO/NCD/MORTALITY_MORBIDITY/CVD/EN/INDEX.HTML

ALTURA

B.M.

, ALTURA

B.T.

,et al. (2007)MAGNESIUM: FORGOTTEN MINERAL IN CARDIOVASCULAR BIOLOGY AND ATHEROGENESIS. IN: NISHIZAWA, Y., MORII, H., DURLACH, J., EDS NEW PERSPECTIVES IN MAGNESIUM RESEARCH: NUTRITION AND HEALTH, SPRINGER-VERLAG.HTTP://DX.DOI.ORG/10.1007/978-1-84628-483-0_19

SINGH

R.B.

, RASTOGI

S.S.

, SHARMA

V.K.

, SAHARIA

R.B.

, KULSRETHA

S.K.

,et al. (1990)SINGH, R.B., RASTOGI, S.S., SHARMA, V.K., SAHARIA, R.B. AND KULSRETHA, S.K CAN DIETARY MAGNESIUM MODULATE LIPOPROTEIN METABOLISM? MAGNESIUM AND TRACE ELEMENTS 9, 255-264.

AL-DELAIMY

W.K.

, RIMM

E.B.

, WILLETT

W.C.

,et al. (2004)MAGNESIUM INTAKE AND RISK OF CORONARY HEART DISEASE AMONG MEN JOURNAL OF THE AMERICAN COLLEGE OF NUTRITION 23, 63-70.HTTP://DX.DOI.ORG/10.1080/07315724.2004.10719344

, PISU

,et al. (2008)ROLE OF DIETARY MAGNESIUM IN CARDIOVASCULAR DISEASE PREVENTION, INSULIN SENSITIVITY AND DIABETES CURRENT OPINION IN LIPIDOLOGY 19, 50-56.HTTP://DX.DOI.ORG/10.1097/MOL.0B013E3282F33CCC

KING

D.E.

, MAINOUS 3RD

A.G.

, GEESEY

M.E.

, WOOLSON

R.F.

,et al. (2005)DIETARY MAGNESIUM AND C-REACTIVE PROTEIN LEVELS JOURNAL OF THE AMERICAN COLLEGE OF NUTRITION 24, 166-171.HTTP://DX.DOI.ORG/10.1080/07315724.2005.10719461

CDC (2012) ABOUT CORONARY ARTERY DISEASE, USA, 2013. HTTP://WWW.CDC.GOV/HEARTDISEASE/CORONARY_AD.HTM

HALE, A. AND HOVEY, M. (2013) FLUID, ELECTROLYTE, AND ACID-BASE IMBALANCES: CONTENT REVIEW PLUS PRACTICE QUESTIONS (DAVISPLUS). DAVIS, PHILADELPHIA, 300-303.

KAO

P.C.

, SHIESH

S.C.

, WU

T.J.

,et al. (2006)KAO, P.C., SHIESH, S.C. AND WU, T.J. SERUM C-REACTIVE PROTEIN AS A MARKER FOR WELLNESS ASSESSMENT ANNALS OF CLINICAL AND LABORATORY SCIENCE 36, 163-169.

USDA (2013) AGRICULTURAL RESEARCH SERVICE. NUTRIENT INTAKES PERCENT OF POPULATION 2 YEARS OLD AND OVER WITH ADEQUATE INTAKES BASED ON AVERAGE REQUIREMENT. COMMUNITY NUTRITION MAPPING PROJECT.HTTP://WWW.ARS.USDA.GOV/BA/BHNRC/NDL

DOBSON

A.J.

, BLIJLEVENS

, ALEX

, H.M.

ET AL.

,et al. (1993)DOBSON, A.J., BLIJLEVENS, R., ALEXANDER, H.M., ET AL. SHORT FAT QUESTIONNAIRE: A SELF-ADMINISTERED MEASURE OF FAT-INTAKE BEHAVIOUR AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH 17, 144-149.

IBM (2013) SPSS STATISTICS, USA, 2013.HTTP://WWW-01.IBM.COM/SOFTWARE/ANALYTICS/SPSS/PRODUCTS/STATISTICS/

THE WORLD BANK (2013) POVERTY HEADCOUNT RATIO AT $2 A DAY (PPP) (% OF POPULATION), USA, 2005.HTTP://DATA.WORLDBANK.ORG/INDICATOR/SI.POV.2DAY

ZHANG

, ISO

, OHIRA

, DATE

, TAMAKOSHI

,et al. (JACC STUDY GROUP)ZHANG, W., ISO, H., OHIRA, T., DATE, C. AND TAMAKOSHI, A. (2012) ASSOCIATIONS OF DIETARY MAGNESIUM INTAKE WITH MORTALITY FROM CARDIOVASCULAR DISEASE: THE JACC STUDY ATHEROSCLEROSIS 221, 587-595.

SWAMINATHAN

,et al. (2003)MAGNESIUM METABOLISM AND ITS DISORDERS CLINICAL BIOCHEMISTRY REVIEW 24, 47-66.

, DURAZZO

, GUIDI

,et al. (2006)BO, S., DURAZZO, M. AND GUIDI, S. DIETARY MAGNESIUM AND FIBER INTAKE, INFLAMMATORYAND METABOLIC PARAMETERS IN MIDDLE-AGED SUBJECTS FROM A POPULATION-BASED COHORT THE AMERICAN JOURNAL OF CLINICAL NUTRITION 84, 1062-1069.

RODRÍGUEZ-MORÁN

, GUERRERO-ROMERO

,et al. (2008)RODRÍGUEZ-MORÁN, M. AND GUERRERO-ROMERO, F. SERUM MAGNESIUM AND C-REACTIVE PROTEIN LEVELS ARCHIVES OF DISEASE IN CHILDHOOD 93, 676-680.

, DURAZZO

, GUIDI

, CARELLO

, SACERDOTE

, SILLI

, ROSATO

, CASSADER

, GENTILE

, PAGANO

,et al. (2006)BO, S., DURAZZO, M., GUIDI, S., CARELLO, M., SACERDOTE, C., SILLI, B., ROSATO, R., CASSADER, M., GENTILE, L. AND PAGANO, G. DIETARY MAGNESIUM AND FIBER INTAKES AND INFLAMMATORY AND METABOLIC INDICATORS IN MIDDLEAGED SUBJECTS FROM A POPULATION-BASED COHORT THE AMERICAN JOURNAL OF CLINICAL NUTRITION 84, 1062-1069.

ROMERO

, MORÁN

,et al. (2002)ROMERO, G. AND MORÁN, R. RELATIONSHIP BETWEEN SERUM MAGNESIUM LEVELS AND C-REACTIVE PROTEIN CONCENTRATION, IN NON-DIABETIC, NON-HYPERTENSIVE OBESE SUBJECTS INTERNATIONAL JOURNAL OF OBESITY 26, 469-474.

KUPETSKY-RINCON

, UITTO

,et al. (2012)KUPETSKY-RINCON, E. AND UITTO, J. MAGNESIUM: NOVEL APPLICATIONS IN CARDIOVASCULAR DISEASE—A REVIEW OF THE LITERATURE ANNALS OF NUTRITION AND METABOLISM 61, 102-110.

AGUS, Z.S. (1999) HYPOMAGNESEMIA. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 10, 1616-1622.HTTP://WWW.NCBI.NLM.NIH.GOV/PUBMED/10405219

ANONYMOUS (2014) COMPACT VERSION—DIASYS DIAGNOSTIC SYSTEMS GMBH, GERMANY.HTTP://WWW.DIASYS-DIAGNOSTICS.COM/FILEADMIN/DOWNLOADS/PRINT_MATERIAL/KATALOG/DIASYS_SHORTCATALOGUE_2014_ENG.PDF

ANONYMOUS (2014) CRP-LATEX AGGLUTINATION TEST—INMESCO GMBH, GERMANY.HTTP://WWW.INMESCO.DE/PDF/CUSTOMER-SUPPORT/RAPID-LATEX-SLIDE-TEST/INMESCO-CRP-LATEX-AGGLUTINATION-TEST.PDF

ANONYMOUS (1979) NOMENCLATURE AND CRITERIA FOR DIAGNOSIS OF ISCHEMIC HEART DISEASE. REPORT OF THE JOINT INTERNATIONAL SOCIETY AND FEDERATION OF CARDIOLOGY/WORLD HEALTH ORGANIZATION TASK FORCE ON STANDARDIZATION OF CLINICAL NOMENCLATURE. CIRCULATION, 59, 607-609.