HEC PRESS Publisher of the
Healthy Eating Club website &
A
sia Pacific Journal of Clinical Nutrition

 


Volume 16 (2007)
1 Issue 1
1 Issue 2
1 Issue 3
1 Issue 4
1 Supplement 1
1 Supplement 2
Volume 15 (2006)
Issue 1
Issue 2
Issue 3
Issue 4
Supplement
Nutrition Society of Australia
Volume 14 (2005)
Issue 1
Supplement on CD
IUNS/APCNS proceedings
Issue 2
Issue 3
Issue 4
Supplement
Nutrition Society of Australia
CURRENT YEAR ISSUES
LOGIN to FULL PAPERS
subscribers only
PAST ISSUES
View full papers (free)
CD-Rom AU$190 vol1-13
NUTRITION SOCIETY OF AUSTRALIA 1976-
View Abstracts
Search our site
 
Asia Pacific J Clin Nutr (1994), 3, 103-110

Asia Pacific J Clin Nutr (1994), 3, 103-110

Assessing food and health relationships: a case study
of blood pressure determination in adult Melbourne Chinese

Bridget H.-H. Hsu-Hage BSc (Chung-Hsing), MS (Columbia), PhD (Monash) and
Mark L. Wahlqvist
BMedSc, MD (Adelaide), MD (Uppsala), FRACP, FAISFT, FACN

An effective public health approach to cardiovascular disease prevention should be one which gives the general public alternatives in choice when fat, salt and sugar are reduced in the diet. Fat, salt and sugar are nutrients which can be found in various foods. Public health educators convert these nutrients into foods so that the general public can engage in daily food choice. The usual nutrient-to-food conversion is indirect and can be misleading. For example, we are still unclear as to the potential benefit of polyunsaturated margarine over butter or olive oil. In a base-line data analysis of Chinese adults in Melbourne, we related food intake in addition to nutrients to major cardiovascular risk factors. In all models, food intake accounted for a higher variation of major cardiovascular risk factors than did nutrient intake. Melbourne Chinese, who consumed a wide variety of foods and ate more fish, vegetable, and fruits, had a better cardiovascular risk profile. The findings are of importance in public health significance. Longitudinal documentation of changing food intake, in addition to nutrients, and associated change in cardiovascular risk factors in this population are needed at this stage followed by further work to confirm its generalizability to Australians at large. This report focuses on findings of blood pressure determination in 547 adult Melbourne Chinese and reviews the way in which food and health relationships may be studied.

Introduction

Health status of an individual is a function of preventable risk factors and their determinants. Aside from genetic predisposition, dietary factors play an important role in the determination of an individual's health. Cancer and cardiovascular diseases, the two most widely researched chronic disease categories, are said to be preventable because the several established risk factors for these diseases are of dietary or environmental consequence. It is known that genetic factors account for as much as 50 % of the variation in serum cholesterol between individuals; an individual's serum cholesterol, however, differs in response to fat intake1. For essential hypertension, there is genetic involvement in the susceptibility to dietary factors such as sodium, potassium, calcium, - fats, total energy intake and alcohol2. Moreover, age, gender and socio-economic status of an individual have been shown to be associated with all-cause mortality, particularly cardiovascular mortality3,4, as well as dietary intake5,6. Determinants of cardiovascular health status of an individual therefore are related to variations in constitutional factors such as gender and age, environmental factors such as dietary habits and other life-style factors, and underlying genetic factors (Fig. 1).

Figure 1. Proposed pathways in the determination of CVD risk.

In this paper, nutritional determinants of blood pressure in 547 adult Chinese Australians are reviewed. The nutrient a 1000 nd food intake in relation to blood pressure is discussed separately. The subjects were randomly selected from the telephone directory and represented adult ethnic Chinese living in the Melbourne metropolitan area7. Survey methods for this study have been reported previously8,9.

Relationships between blood pressure and urinary sodium and potassium excretion are also presented. Eighty-seven (48 men and 39 women) subjects aged 25 to 64 were randomly selected. They collected 24-hour urine specimens using a cylinder sampler which extracts 1/50 portion of void urine. Sodium and potassium excretion values are the products of urinary concentrations and volume estimated for 24 hours. Blood pressure (BP) is the mean of the two readings. Subjects taking tablets for BP were examined separately so that factors associated with BP and medication were removed. Analyses were performed within each gender.

Determinants of blood pressure

High blood pressure is an established risk factor for coronary heart disease and stroke10-15. Collective reports from studies carried out overseas suggest that hypertension is more prevalent in developed societies16,17 than in developing countries18-21. Regional differences in the prevalence of hypertension within the country have also been identified in developing as well as developed countries22-31.

There is a genetic predisposition to hypertension in humans32. Primary hypertension, however, does not result from genetic influences alone33. Genetic responsiveness to environmental influences, including nutritional status and psycho-social factors, may vary between individuals34.

The intakes of sodium and alcohol have been widely reported for their adverse relationships with blood pressure. Positive association between blood pressure and salt intake was mostly found in ecological comparisons of diverse population means and secondary analyses of results from the cross-sectional studies35-37. Intra-population relationships have been observed by Khaw and Barrett-Connor38,39. A few studies have examined potassium per se and reported inverse relationships with blood pressure in industrialized populations40. However, associations at the individual level and within population correlations have been less consistent.

The positive relationship between blood pressure and alcohol consumption was found mainly in cross-sectional studies41-48. Ueshima and colleagues49 showed that increased consumption of alcohol was associated with an increase in blood pressure and stroke mortality in Japanese populations.

The electrolytes sodium and potassium are widely studied for their effect on blood pressure. The possible interactions and inter-correlation of dietary electrolytes present difficulties in epidemiologic studies where single electrolytes are often examined to identify independent relationships with blood pressure. The 24-hour urinary sodium output is considered a more precise measure of sodium intake. 24-hour urinary sodium excretion was found to be positively associated with systolic blood pressure in the Intersalt Study populations36.

Age and body fatness are probably the most important non-dietary factors in the examination of blood pressure relationships. Socio-cultural factors have been shown to affect blood pressure in migrants and populations undergoing rapid industrialization26,50-52.

Nutrient intake and blood pressure

Univariate correlations: results

In men, systolic blood pressure was positively correlated to both P/S (P, polyunsaturated and S, saturated fatty acids) (r=0.15, P=0.0120) and M/S (M, monounsaturated) fatty acids (r=0.17, P=0.056) intake r 1000 atios. In women, systolic blood pressure was positively correlated to P/S fatty acid intake ratio (r=0.28, P=0.0001), M/S fatty acid intake ratio (r=0.24, P=0.0001), and the per cent energy intake of PUFAs (r=0.17, P=0.0058). There was a negative relationship between systolic blood pressure and saturated fatty acid (SFAs) intake (r=0.13, P=0.0264).

No correlation was found in men or women between dietary intake and diastolic blood pressure.

Multivariate models: results

Table 1 lists factors that are associated with systolic blood pressure of Melbourne Chinese. In men, systolic blood pressures are associated with dietary fibre, M/S fatty acid intake ratio and food variety, while M/S fatty acid intake ratio was associated with systolic blood pressure of women. Age accounted for 41% of the variation of systolic blood pressure in women. For men, education level was positively related to systolic blood pressure, while for women systolic blood pressure increased with an increasing length of stay in Australia. Food variety is an independent predictor of systolic blood pressure of men. Systolic blood pressure of men decreased with an increasing food variety. The protective effect of food variety in women was dependent on total energy intake and the percentage energy intake from alcohol.

Table 1. Nutrient determinants of systolic blood pressure (mmHg), by gender.

Factors

b

P

MEN

   

Age (yrs)

0.78

0.0001 ****

ED

1.98

0.0315*

BMI (kg/m)

0.78

0.0095*

Food variety

-0.15

0.0095**

Energy (kJ/day)

0.00094

0.0459*

D fibre (g/day)

-0.32

0.0420**

M/S ratio

8.36

0.0258*

% variation explained by the model

36%

WOMEN

   

Age (yrs)

1.07

0.0001 ****

LOSIA (yrs)

0.37

0.0024**

Food variety

0.18

0.0352*

Energy (kJ/day)

0.00046

0.3120 NS

M/S ratio

19.86

0.001 ****

% kJ alcohol

2.48

0.0708 NS

% variation explained by the model

48%

b = regression coefficient (parameter estimate); P = significance level for F-test that 'b=0';ED=educationlevel
('2',0-6yrs;'3',7-9yrs;'4',10-12yrs;'5',13 plus yrs schooling); LOSIA = the length of stay in Australia; BMI= body mass
index; NS= p >0.05;* =p< 0.05 ;**= p<0.01 ;*** = p<0.001 ;**** = p<0.0001

Diastolic blood pressure of men was positively related to SFA intake (controlling for the per cent energy intake
of SFAs) and was negatively related to total energy intake (Table 2). Diastolic blood pressure of women was positively
related to zinc intake and was negatively related to total energy intake.

Table 2. Nutrient determinants of diastolic blood pressure (mmHg), by gender.

Factors

b

P

MEN

   

ED

1.76

0.0015**

WHR

64.17

0.0001****

Energy (kJ/day)

-0.00089

0.0236*

% kJ SFAs

-1.0-9

0.0105*

SFAs

0.37

0.0171*

% variation explained by the model

17%

WOMEN

   

Age (yrs)

0.24

0.0001****

LOSIA(years)

0.16

0.0160*

BMI (kg/m )

0.60

0.0017**

Energy (kJ/day)

-0.00095

0.0361*

Zinc (mg/day)

0.71

0.0202*

% variation explained by the model

19%

b = regression coefficient (parameter estimate); P = significance level for F-test that 'b=0';ED=educationlevel('2',0-6yrs;'3',7-9yrs;'4',10-12yrs;'5',13 plus yrs schooling); LOSIA = the length of stay in Australia; BMI= body mass index; NS= p >0.05;
* =p< 0.05 ;**= p<0.01 ;*** = p<0.001 ;**** = p<0.0001

Waist-to-hip ratio was predictive of diastolic blood pressure in men while for women body mass index (BMI) was a better predictor. Age was positively related to diastolic blood pressure for women. Diastolic blood pressure was higher among the educated males. For women, diastolic blood pressure increased with an increasing length of stay in Australia.

Discussion

Both systolic and diastolic blood pressure have been shown to be negatively associated with the intake of MUFAs53. Studies have also shown the protective effect of increased P/S ratio54,55. However, the 1000 study population of the above studies is known to have a much higher total fat intake, particularly SFAs and PUFAs, compared to the Melbourne Chinese.

People consuming a vegetarian diet have been reported to have a lower blood pressure compared to those consuming omnivorous diets56. A complete vegetarian diet has also been reported to contain more PUFAs and less total fat, SFAs and cholesterol57. Although the total fat intake was also low in Melbourne Chinese, the fatty acid intake of Melbourne Chinese was predominantly MUFAs, not PUFAs.

In a study of traditional Mediterranean diet and blood pressure, Strazzullo and colleagues58 showed that a reduction of P/S ratio from the 0.44 to 0.23 caused increases in systolic blood pressure, but not diastolic blood pressure, in a rural southern Italian population. The investigators achieved the 50% reduction of P/S ratio by means of increasing SFAs and a corresponding decrease in carbohydrates and MUFAs so that total energy intake remained constant. In other words, the investigators have shown a negative relationship between systolic blood pressure and P/S fatty acid intake ratio while the customary M/S intake ratio remains. In terms of dietary intake what has been effectively altered is the SFA intake. Thus, it is not clear whether it is the decreased P/S fatty acid intake ratio or the increased intake of SFAs that increases systolic blood pressure. However, it is evident that the manipulation of either P/S fatty acid intake ratio or saturated fat intake does not alter diastolic blood pressure of a population high in monounsaturated fatty acid intake.

M/S fatty acid intake ratio of Melbourne Chinese men was positively related to total energy intake, protein intake, total fat intake, the per cent energy intake of fat, the per cent energy intake of alcohol, and was negatively related to the per cent energy intake of carbohydrates. It is suggestive that a higher M/S fatty acid intake ratio is associated with a higher per cent energy intake of alcohol and total fat intake. On the other hand, M/S fatty acid intake ratio of women was independent of all macro-nutrient intakes and the contribution of macro-nutrient intake to energy.

The positive relationship of systolic blood pressure and M/S fatty acid intake ratio in Melbourne Chinese is not supported by current literature. An increased intake of dietary fibre was negatively related to systolic blood pressure of men. The protective effect of dietary fibre for blood pressure is consistent with findings of vegetarian studies56,59,60. There is a large body of evidence linking the relationship between BMI and blood pressure. Positive relationships between body weight and blood pressure have been reported in ecological studies61,62 and large-scale epidemiological studies45,63-69. BMI was positively related to systolic blood pressure in men, but not women (Table 1). The role of trace elements in the regulation of blood pressure is ill defined. Zinc, copper and iron participate in enzyme reactions related to blood pressure regulation and may be factors in the development of hypertension. However, they are unlikely to be the primary cause of hypertension70.

Detailed examination of systolic blood pressure and the M/S fatty acid intake ratio firmly supports a relationship between intake of dietary fats and level of blood pressure. However, we can be less clear about the type or the amount of fats which relate to blood pressure levels. Despite a much lower SFA intake compared to Australians, Melbourne Chinese men who had higher intakes of SFAs were likely to have a higher diastolic blood pressure.

Food intake and blood pressure

Univariate correlations: results

Table 3 shows food intake components that are related to systolic blood pressure of Melbo 1000 urne Chinese. Systolic blood pressure was positively correlated to the intake of rice and fish in men, and the intake of nuts, vegemite/jam/honey, and soup in women. Systolic blood pressure negatively correlated to the intake of biscuits in men and the intake of fatty snack foods in women.

Quite different from the examination of nutrient intake and diastolic blood pressure, where no univariate correlations were found, the food intake and diastolic blood pressure existed as shown in Table 3. We found that diastolic blood pressure positively correlated to the intake of fish, seaweeds, and light snacks in men, and the intake of spirits in women. A high intake of biscuits was negatively related to diastolic blood pressure in men.

Table 3. Pearson correlation coefficients for relationships between food intake and blood pressure (mmHg), by sex.

1000

Food intake components

Men

Women

b

P

b

P

SBP

       

Rice

0.13

*

   

Fish

0.14

*

   

Biscuits

0.15

**

   

Nuts

   

0.17

**

Vegemite/jam/honey

   

0.13

*

Soup

   

0.13

*

Fatty snack foods

   

0.15

*

DBP

       

Fish

0.16

**

   

Sea weeds

0.16

**

   

Light snacks

0.16

**

   

Biscuits

-0.14

*

   

Spirits

 

0.12

*

 

NS=P>0.05; *P<0.05; **P<0.01 ;***P<0.001 ;****P<0.0001

Multivariate models: results

Foods accounted for 12 % of variation of systolic blood pressure in men. For women, age is the most important predictor of systolic blood pressure. Less than 4 % of the variation of systolic blood pressure in women was accounted for by foods (Table 4). Neither BMI nor waist-to-hip ratio were predictive of systolic blood pressure in women. The length of stay and food acculturation, on the other hand, were predictive of systolic blood pressure in women. This is consistent with the nutrient intake model (Table 1).

Table 4. Food intake as a determinant of systolic blood pressure (mmHg), by sex.

Factors

b

P

Partial R2

MEN

Age (yrs)

0.82

0.000 1 ****

29.92

ED

3.36

0.0003***

1.43

BMI (kg/m2)

0.90

0.0015**

1.72

Food variety

-0.16

0.0134*

0.96

Rice

1.70

0.0449*

0.88

Offal

1.43

0.0297*

1.56

Fish

2.19

0.0068**

1.13

Spirits

1.65

0.0367*

1.02

Berries/grapes

2.01

0.0304*

1.02

Biscuits

-1.95

0.0061 **

2.83

Choc drinks/coffee

-2.16

0.0122*

0.95

Soup

-2.11

0.0133*

0.98

Melona

-1.53

0.0224*

0.47

% variation explained by the model

45 %

WOMEN

Age (yrs)

1.16

0.0001 ****

41.94

LOSIA (yrs)

0.28

0.0262*

1.14

Food acculturation

2.36

0.0232*

1.02

Nuts

2.348

0.0249*

1.50

Fishb

2.211

0.0206*

0.53

Biscuits

-2.613

0.0042**

1.14

Cream

-2.456

0.0231 *

0.52

% variation explained by the model

48%

b = regression coefficient (parameter estimate); P = significance level for F-test that 'b = 0; ED = education level ('2', 0-6 yrs; '3' 7-9 yrs; '4' 10-12 yrs; '5' 13 plus yrs schooling); BMI = body mass index; LOSIA = the length of stay in Australia; a = predictive power is significant controlling for the intake of berries/grapes; b = predictive power is significant controlling for the intake of cream; NS = P>0.05;*= P<0.05;**= P<0.01;*** = P<0.001 ;**** = P<0.0001.

Table 5 shows that diastolic blood pressure was positively related to the intake of fish, seaweeds, and breakfast cereals in men and the intake of molluscs and spirits in women. Diastolic blood pressure decreased with a higher intake of biscuits, tropical fruit, cruciferous vegetables and tea in men, and with a higher intake of confectionery in women. For men, the effect of food intake on diastolic blood pressure was adjusted for the confounding effect of age, education level, waist-to-hip ratio, and smoking status, while for women, an adjustment was made for age, the length of stay in Australia and BMI.

Similar to systolic blood pressure, foods accounted for 12 % of variation of diastolic blood pressure in men and less than 4 % in women (Table 5). Waist-to-hip ratio increases with age for men and women. It is a strong predictor for diastolic blood pressure in men. Adiposity alone accounted for more than 12 % of the variation of diastolic blood pressure. Diastolic blood pressure were lower among the male smokers, possibly due to its association with a higher tea consumption and the fact that smokers were less educated and had a lower waist-to-hip ratio compared to non-smokers.

Table 5. Food intake as a determinant of diastolic blood pressure (mmHg), by sex.

Factors

b

P

Partial R2

MEN

Age (yrs)

0.13

0.0109*

1.23

ED

2.01

0.0005***

2.45

Smokingc

-2.86

0.0270*

1.18

WHR

54 13

0.0001****

12.85

Fish

2.16

0.0001 ****

2.39

Seaweeds

1.34

0.0124*

1.23

Breakfast cereals

1.09

0.0321*

1.55

Biscuits

-1.71

0.0003***

2.65

Tropical fruit

-1.22

0.0140*

1.68

Cruciferous vegetablesa

-0.75

0.0420*

0.92

Tea

-1.11

0.0434*

1.13

% variation explained by the model

29%

WOMEN

Age (yrs)

0.22

0.0001****

11.93

LOSIA (yrs)

0.18

0.0070**

2.08

BMI (kg/m2)

0.54

0.0047**

3.04

Molluscs

1.05

0.0341 *

1.37

Spiritsb

1.10

0.0223*

0.91

Confectionery

-1.18

0.0411*

1.24

% variation explained by the model

   

21 %

b = regression coefficient (parameter estimate); P = significance level for F-test that 'b' = 0; ED = education level ('2', 0-6 yrs; '3', 7-9 yrs; '4', l0-12 yrs; '5', 13 plus yrs schooling); c = cigarette smoking ('0', nonsmokers; '1', smokers); WHR= waist-to-hip ratio; BMI = body mass index; LOSIA= the length of stay in Australia; a = predictive power is significant adjusting for tea consumption; b = predictive power is significant adjusting for the intake of confectionery; NS = P>0.05;* =P<0.05;**= P<0.01 ;* ** = P<0.001 ;**** = P<0.0001.

Discussion

Despite the indication that food variety may protect against an eleva 1000 ted systolic blood pressure, we found that systolic blood pressure levels increased with a higher intake of rice, offal, fish, spirits and berries/grapes, and decreased with a higher intake of biscuits, chocolate drinks/coffee, soup and sweet melon in men, adjusting for age, education level, body mass index and food variety. For women, an elevated systolic blood pressure was associated with a lower intake of biscuits and cream, adjusting for age, the length of stay in Australia, and the degree of food acculturation.

Studies have shown that fish intake reduces CHD monality71-73 and that a moderate intake of fatty fish (two or three portions per week) may reduce total mortality in men who have recovered from myocardial infarction74. Furthermore, it has been shown that omega-3 fatty acids, found in fish and marine animals, cause a reduction in VLDL, reduction in thrombotic tendency, increase in fibrinolytic activity, and perhaps, reduction in blood pressure75. The protective effect of fish intake on CHD, however, is not supported by a study of Norwegian men76, a study of Japanese men living in Hawaii, and descriptive studies of ecological comparison78-80. It appears that a higher fish intake may be protective of CHD in populations whose average fish intake was relatively low such as Dutch or North American. The same effect may be difficult to observe in populations already high in their fish intake.

We observed here a positive relationship between fish intake to systolic blood pressure in Melbourne Chinese. Adherence to a high fish intake in women is a marker for less food variety achieved and less acculturation. This has become apparent because the effect of fish intake on systolic blood pressure is not significant, unless the intake of cream is adjusted for. It is less clear the socio-cultural mechanism in which fish is positively related to systolic blood pressure in men.

So far no epidemiological studies have reported that fish intake per se is positively related to blood pressure. The positive relationship between fish intake and systolic blood pressure remains to be explored further, especially among the high fish intake populations.

It is possible that a higher fish intake protected against CHD mortality, but not stroke mortality, in a high fish intake population. Moreover, it is likely that the way fish is prepared and consumed is responsible for the positive relationship. There are a set of foods 'favoured' by those consuming a higher amount of fish and that fish is often consumed in accordance with the traditional fan-t'sai eating principles81.

A higher intake of biscuits was negatively related to systolic blood pressure for men and women. The intake of biscuits among the Melbourne Chinese was higher among the educated and was independent of food variety, food acculturation index, the length of stay in Australia and age81. The independent effect of age, education level, food variety, food acculturation index and the length of stay in Australia on systolic blood pressure is consistent with the multivariate analysis for nutrient intake model (Table 1). The beneficial effects of biscuit intake on systolic blood pressure, therefore, cannot be superfluous.

Food variety is probably protective of systolic blood pressure in Melbourne Chinese. Although the predictive power of food variety per se is not significant for women, it can be said that the protective effect of food variety may be operational via effects of length of stay in Australia and food acculturation (Tables 1, 2 and 4) on systolic blood pressure. On the other hand, the adverse effect of education on systolic blood pressure in men is probably amplified by the adverse effect of food acculturation as education has been shown to enhance food variety as well as food acculturation.

A higher intake of spirits predicted an elevated systolic blood pressure in men (Table 4) and diastolic pressure in women (Table 5). This is consi 1000 stent with findings of numerous cross-sectional studies.

In summary, foods that predict blood pressure levels of Melbourne Chinese can be characterized into three groups. They are seafoods (fish, seaweeds and molluscs), fruit (tropical fruit and melon) and foods between meals (biscuits, confectionery, chocolate drinks, coffee and tea). Seafoods were likely to be consumed with rice or in a traditional meal setting. With this in mind, it can be summarized that blood pressure in Melbourne Chinese decreased with a higher intake of seafoods and alcoholic beverage (spirits) and increased with an increasing intake of fruits and foods between meals (biscuits, confectionery, chocolate drinks, coffee, and tea).

Blood pressure and 24-hour urinary sodium and potassium excretion

Of the 87 subjects, seven men (14.6 %) and 12 women (30.8 %) were being treated for hypertension (THT). There were no untreated hypertensives (SBP>= 160 mmHg and DBP>= 95 mmHg). Three borderline hypertensives (140 mmHg<SBP< 160 mmHg or 90 mmHg< DBP< 95 mmHg) were not being treated; all had DBP less than 90 mmHg and were included in the non-hypertensive (NHT) group. The THT were older and had higher BP. No differences were found between the THT and the NHT group for urinary sodium (Na) and potassium (K) excretion and urinary creatinine (C). Mean and standard error of the mean for age, SBP, DBP, urinary sodium, potassium, and creatinine excretion are shown in Table 6. There was no difference in these parameters between the urine collectors and the non-urine collectors.

Among the THT, there were positive relationships between systolic BP and urinary sodium excretion and urinary Na/C ratio in both men and women: urinary Na excretion r=0.90 in men and 0.83 in women; urinary Na/C ratio, r=0.89 in men and 0.78 in women. Diastolic BP was positively related to urinary Na/C ratio (r=0.86) and urinary K/C ratio (r=0.88) in men yet no statistically significant relationship was found in women; presumably the urinary K loss is related to therapy such as diuretics and K supplements. Among the NHT group, there was a negative relationship between systolic BP and urinary creatinine (r=0.49) and a negative relationship between diastolic BP and urinary potassium excretion (r=0.41) in women; no relationships were found in men.

Table 6. Mean values (SEM in parentheses) for age, SBP, DBP, urinary sodium, potassium, and creatinine excretion, by 'hypertensiveness' (treated hypertensive vs non-hypertensive), by gender.

MALES

FEMALES

THT(n=7)

NHT(n=41)

THT(n=12)

NHT(n=27)

Age (yrs)

52 (2.47)

40 (1.53)

49 (2.54)

39 (1.54)

SBP (mmHg)

141.14 (5.18)

116.20 (2 90)

134.17 (8.26)

110.22 (3.68)

DBP (mmHg)

89.14 (4.l9)

73.61 (1.91)

73.17 (3.39)

68.59 (2.07)

Na excretion (mmol/d)

173.7 (26.52)

180.0 (14.51)

170.8(24. 1000 6l)

145.8 (l3.7l)

K excretion (mmol/d)

52.00 (5.58)

63.66 (4.20)

66.08 (5.34)

49.07 (3.4l)

U creatinine (mmol/d)

9.06 (l.32)

9.80 (0.53)

7.14 (0.73)

6.84 (0.4l)

Na = urinary sodium; K= urinary potassium

The positive relationship between urinary sodium excretion and systolic BP among the THT, yet not among the NHT group, may suggest that either hypertension or its treatment is responsible for the relationship. Though less potent and negative, the relationship between urinary potassium excretion and diastolic BP among the NHT group restates the relative importance of dietary potassium in BP control in women, although not in men. The sex difference is intriguing and may suggest that women achieve lower BP through potassium responsiveness.

References

1. Simopoulos AP, Childs B. Genetic variation and nutrition. Basel: Karger, l990.

2. Williams RR, Hunt SC, Hasstedt SJ, Hopkins PN, Wu LL, Berry TD, Stults BM, Barlow GK, Kuida H. Hypertension: Genetics and nutrition. In: Simopoulos AP and Childs B. Genetic variation and nutrition. Basel: Karger,1990:116-30.

3. Lerner DJ and Kannel WB. Patterns of coronary heart disease morbidity and mortality in the sexes: a 26-year follow-up of the Framingham population. Am Heart J 1986;111:383-90.

4. Lapidus L, Bengtsson C. Socio-economic factors and physical activity in relation to cardiovascular disease and death. A 12 year follow up of participants in a population study of women in Gothenburg, Sweden. Br Heart J 1986;55:295-301.

5. Kushi LH, Folsom AR, Jacobs DR Jr, Luepker RV, Elmer PJ, Blackburn H. Educational attainment and nutrient consumption patterns: the Minnesota Heart Survey. J Am Diet Assoc 1988;88: 1230-36.

6. Whichelow MJ. Choice of spread by a random sample of the British population. Association with socio-economic status and risk factors for cardiovascular disease. Eur J Clin Nutr 1989;43: 1-10.

7. Hage BH, Oliver RG, Powles JW, Wahlqvist ML. Telephone directory listings of presumptive Chinese surnames: An appropriate sampling frame for a dispersed population with characteristics surnames. Epidemiology 1990;1:405-8.

8. Hsu-Hage BH-H, Wahlqvist ML. A food frequency questionnaire for use in Chinese populations and its validation. Asia Pacific J Clin Nutr 1991 ;1:211-23.

9. Hsu-Hage BH-H and Wahlqvist ML. Cardiovascular risk in Melbourne Chinese. AustJPubHlth 1993;17:306-13.

10. Better Health Commission. Looking forward to better health (The taskforces and working groups: reports to the Better Health Commission, v 2). Canberra: Australian Government Publishing Service, 1986.

11. Kannel WB, Higgins M. Smoking and hypertension as predictors of cardiovascular risk in population studies. J Hypertens Suppl l990;8:S3-8.

12. Kaplan NK. 'Hypertension'. In: Kaplan NK and Stamler J (eds). Prevention of coronary heart disease: practical management of the risk factors. WB Saunders Co.,1983:61-72.

13. Keys A. Seven countries: A multivariate analysis of death and coronary heart disease. Massachusetts: Harvard University Press,1980.

14. Martin MJ, Hulley SB, Browner WS, Kuller LH, Wentworth D. Serum cholesterol, blood pressure, and mortality: implication for a cohort of 361,662 men . Lancet 1986;2:934 6.

15. Pooling Project Research Group. Relationship of blood pressure, serum cholesterol, smoking habits, relative weight and ECG abnormalities to incidence of major coronary events: final report of the Pooling Project. J Chron Dis 1978;3 1000 1:201-306.

16. INTERSALT Cooperative Research Group. INTERSALT: an international study of electrolyte excretion and blood pressure. Results for 24-hour urinary sodium and potassium excretion. BrMedJ 1988;297:319-28.

17. MacMahon SW, Leeder SR. Blood pressure levels and mortality from cerebrovascular disease in Australia and the United States.AmJEpidemiol 1984;120:865-75.

18. Bernhardt R, Feng Z, Deng Y, Dai G, Cremer P, Stehle G, Seidel D, Schettler G. Incidence and mortality rates of myocardial infarction in Chinese workers aged 40-59 in relation to coronary risk factors. Results of a Chinese prospective study (Wuhan Study) in comparison to the Gottingen Risk Incidence and Prevalence Study (GRIPS). Klin Wochenschr 1991;69:201-12.

19. Kesteloot H, Song CS, Song JS, Park BC, Brems-Heyns E, Joossens JV. An epidemiological survey of arterial blood pressure in Korea using home reading. In: Gorive G and Van Cauwenberge H (eds). The arterial hypertensive disease: A Symposium. New York: Masson,1976:141-148.

20. Komachi Y, Shimamoto T. Regional differences in blood pressure and its nutritional background in several Japanese populations. In: Kesteloot and Joossens JV (eds). Epidemiology of arterial blood pressure. The Hague; Martinus Nijhoff, 1980:379 400.

21. Wu YK, Lu CQ, Gao RC, Yu JS, Liu BC. Nation-wide hypertension screening in China during 1979-1980. Chin Med J 1982;95: 101-108

22. Mtabaji JP, Mashalla YS, Ntogwisangu JH, Masesa ZE, Masesa PC, Nara Y, Tsoubouch T, Yamori Y. Dietary lifestyle and hypertension in Africa. In: Yamori Y and Strasser T (ed). New horizons in preventing cardiovascular diseases. New York:ExcerptaMedica,1989:95-100.

23. Poulter NR, Khaw KT, Mugambi M, Peart WS, Rose G, Sever P. Blood pressure patterns in relation to age, weight and urinary electrolytes in three Kenyan communities. Trans R Soc Trop Med Hyg 1985;79:389-92.

24. He BX and Zhang JY. Dietary habits and longevity along the silk road. In: Yamori Y and Strasser T (ed). New horizons in preventing cardiovascular diseases. New York: Excerpta Medica,1989.

25. Liu LS. Epidemiology of hypertension and cardiovascular disease -China experience. Clin Exp Hypertens 1990;12:83144.

26. Adamopoulos PN, Boutsicakis J, Kodoyianis S, Papamichael C, Gatos A, Makrilakis K, Arhyros D, Adamopoulos E, Arhyros G, Kostis E, Economou D, Iliadou-Allexandrou M. Blood pressure and other risk factors of cardiovascular disease in two communities with different socio-economic statuses: the Athens study. J Human Hypertension 1990;4:344-349.

27. Del Pozo G, Davalos P, Yamori Y. Cardiovascular risk factors in two Ecuadorian urban and rural populations. The Ecuadorian-Japan Cooperative CARDIAC Study Group. J Cardiovasc Pharmacol 1990;16 Suppl:S24-5.

28. Iso H, Terao A, Kitamura A, Sato S, Naito Y, Kiyama M, Tanigaki M, lida M, Konishi M, Shimamoto T, et al. Calcium intake and blood pressure in seven Japanese populations. Am J Epidemiol 1991;133:776-83

29. Komachi Y. Recent problems in cerebrovascular accidents: characteristics of stroke in Japan. Nippon Ronen Igakkai Zasshi 1977;108:497-505.

30. Kesteloot H, Park BC, Lee CS. Brems-Heyns, and Joossens JV. A comparative study of blood pressure and sodium intake in 52 Belgium and in Korea. In: Kesteloot and Joossens JV (eds). Epidemiology of arterial blood pressure. Martinus Nijhoff: The Hague,1980:453-470.

31. Cruz-Vidal M, Garcia-Palmieri MR, Costas R Jr, Sorlie PD, Havlik RJ. Abnormal blood glucose and coronary heart disease: the Puerto Rico Heart Health Program. Diabetes Care 1983;6:556-61.

32. Burke W, Motulsky AG. Hypertension - some unanswered questions. J Am Med Assoc 1985;253:2260-61

33. Folkow B. Physiological aspects of primary hypertension. Physiol Rev 1982;62:347-504.

34. Puddey IB, Jenner DA, Beilin LJ, Vandongen R. Alcohol consumption, age and personality characteristics as important determinants of within-subject variability in blood pressure. J Hypertens Supply 1000 1988;6:S617-9.

35. Gleibermann L. Blood pressure and dietary salt in human populations. Ecol Food and Nutr 1973;2:143-56.

36. INTERSALT Cooperative Research Group. INTERSALT: an international study of electrolyte excretion and blood pressure. Results for 24-hour urinary sodium and potassium excretion. Br Med J 1988;297:319-28.

37. McCarron DA, Henry HJ, Morris CD. Human nutrition and blood pressure regulations: and integrated approach. Hypertension 1982;4:2-13.

38. Khaw KT, Barrett-Connor E. Dietary potassium and stroke-associated mortality. A 12-year prospective population study. N Engl J Med 1987;316:235 40.

39. Khaw KT, Barrett-Connor E. The association between blood pressure, age, and dietary sodium and potassium: a population study. Circulation 1988 ;77 :53-61.

40. Rettig R, Ganten D, Luft R (eds). Salt and hypertension. Dietary minerals, Volume homeostasis and cardiovascular regulation. Heidelberg: Springer-Verlag.1989.

41. Gruchow HW, Sobocinski KA, Barboriak JJ. Alcohol, nutrient intake, and hypertension in US adults. JAMA 1985; 253: 1567-70.

42. MacMahon SW, Blacket RB, Macdonald GJ and Hall W. Obesity, alcohol consumption and blood pressure in Australian men and women. The National Heart Foundation of Australia Risk Factor Prevalence Study. J Hypertens 1984;2:85-91.

43. Uomilehto J, Salonen JT, Nissinen A. Isolated systolic hypertension and its relationship to the risk of myocardial infarction, cerebrovascular disease and death in a middle-aged population. Eur Heart J 1984;5(9):739 44.

44. Steyn K, Jooste PL, Fourie JM, Parry CD, and Rossouw JE. Hypertension in the coloured population of the Cape Peninsula. S Afr Med J 1986;69: 165-69.

45. lackson R, Stewart A, Beaglehole R, Scragg R. Alcohol consumption and blood pressure. Am J Epidemiol 1985; 122: 1037 44.

46. Cruickshank JK, Jackson SH, Beevers DG, Bannan LT, Beevers M, Stewart VL. Similarity of blood pressure in blacks, whites, and Asians in England: the Birmingham Factory Study. JHypertens 1985;3:365-71.

47. Shaper AG, Phillips AN, Pocock SJ, Walker M. Alcohol and ischaemic heart disease in middle aged British men. Br Med J 1987;294:733-7.

48. Cairns V, Keil U, Kleinbaum D, Doering A, Stieber J. Alcohol consumption as a risk factor for high blood pressure. Munich Blood Pressure Study . Hypertension 1984;6: 124-31.

49. Ueshima H, Ohsaka T, Tatara K, Asakura S. Alcohol consumption, blood pressure and stroke mortality in Japan. J Hypertens 1984;2 (Suppl);S 191 -S19

50. Page LB, Friedlaender J. Blood pressure, age and cultural change: a longitudinal study of Solomon Islands populations. 70 In: Horan MJ, Steingerg GM, Dunbar JB and Hadley EC (eds). NIH Workshop on Blood Pressure Regulations and Aging: 7 Proceedings from a Symposium. New York: Biomedical Information Corp,1986:11-26.

51. Sever PS, Gordon D, Peart WS, Beighton P. Blood-pressure and its correlates in urban and tribal Africa. Lancet 1980; 2:60-64

52. He J, Tell GS, Tang Y-C, Mo P-S, He G-Q. Effect of migration on blood pressure: The Yi People Study. Epidemiology 1991; 2:88-97.

53. Williams PT, Fortmann SP, Terry RB, Garay SC, Vranizan KM, Ellsworth N, Wood PD. Associations of dietary fat, regional adiposity, and blood pressure in men. JAMA 1987; 257:3251 -6.

54. Iacono JM. Judd JT, Marshall MW, Canary JJ, Dougherty RM, Mackin JF, Weinland BI. The role of dietary essential fatty acids and prostaglandins in reducing blood pressure. Prog Lipid Res 1981;20:349-64.

55. Iacano JM, Puska P, Dougherty RM, Pietinen P, Vartiainen E, Leino U, Mutanen M, Moisio S. Effect of dietary fat on blood pressure in rural Finnish population. Am J Clin Nutr 1983; 38:860 9.

56. Sacks FM, Rosner B, Kass EH. Blood pressure in vegetarians. AmJEpidemiol 1974; 100:390-8.

57. Rouse IL, Armstrong BK, Margetts BM, Beilin LJ. The dietary habits and nutrient intakes of Seventh-Day Adventists vegetarians and Mormon omnivores. Proc Nutr Soc Aust 1981 ;6: 1 1000 17.

58. Strazzullo P, Ferro-Luzzi A, Siani A, Scaccini C, Sette S, Catasta G, Mancini M. Changing the Mediterranean diet: effects on blood pressure. J Hypertens 1986;4:407-12.

59. Armstrong BK, Van Merwyk AJ, Coates H. Blood pressure in Seventh-Day Adventist vegetarians. Am J Epidemiol 1977; 105: 444-9.

60. Rouse IL, Armstrong BK, Beilin LJ. Vegetarian diet, lifestyle and blood pressure in two religious populations. Clin Exp Pharmacol Physiol 1982; 9:327-30.

61. Dyer A, Elliott P. Body mass index and blood pressure in the INTERSALT study of urinary electrolytes, other factors and blood pressure. J Hum Hypertens 1989;3:299-308.

62. Keys A, Aravanis C, Blackburn HW, et al. Epidemiological studies related to coronary heart disease: characteristics of men age 40-59 in seven countries. Acta Med Scand 1967; 460 (Suppl): 1-392.

45. MacMahon SW, Blacket RB, Macdonald GJ, Hall W. Obesity, alcohol consumption and blood pressure in Australian men and women. The National Heart Foundation of Australia Risk Factor Prevalence Study. J Hypertens 1984;2:85-91

63. Kannel WB, Brand N, Skinner JJ Jr, Dawber TR, McNamara PM. The relation of adiposity to blood pressure and development of hypertension: the Framingham Study. Ann Intern Med 1967;67:48-59.

64. Tyroler HA, Heyden S, Hames CG. Weight and hypertension: Evans County Studies of blacks and whites. In: Paul O (ed). Epidemiology and control of hypertension. Symposia Specialists, Miami,1975: 177-201.

65. Weisner RL, Fuchs RJ, Kay TD, Triebwasser JH, Lancaster MC. Body fat - its relationship to coronary heart disease, blood pressure, lipids and other risk factors measured in a large male population AmJ Med 1976; 61:815-24.

66. Hsu P, Mathewson FA, Rabkin SW. Blood pressure and body mass index patterns, a longitudinal study. J Chronic Dis 1977; 30:93-113.

67. Reed D, McGee D, Yano K. Biological and social correlates of blood pressure among Japanese men in Hawaii. Hypertension 1982;4:406-14.

68. Dyer AR, Stamler J, Shekelle RB, et al. Relative weight and blood pressure in four Chicago Epidemiologic studies. J Chronic Dis 1982;35:897-908.

69. Criqui MH, McBane 1, Wallace RB, Heiss G, Holdbrook MJ. Multivariate correlates of adult blood pressures in nine North American populations: the Lipid Research Clinics Prevalence Study. Prev Med 1982;11:391 402.

70. Saltman P. Trace elements and blood pressure. Ann of Int Med 1983;98:823-7.

71. Kromhout D, Bosschieter EB, de Lezenne Coulander C. The inverse relation between fish consumption and 20-year mortality from coronary heart disease. N Engl J Med 1985; 312: 1205-9

72. Norell SE, Ahlbom A, Feychting M, Pedersen NL. Fish consumption and mortality from coronary heart disease. Brit Med J 1986;293:426.

73. Shekelle RB, Missell L, Paul O, Shyrock M, Stamler J. Fish consumption and mortality from coronary heart disease (letter). N Engl J Med 1985;313:820.

74. Burr ML, Fehily AM, Gilbert JF, Rogers S, Holliday RM, Sweetnam PM, Elwood PC, Deadman NM. Effects of changes in fat, fish and fibre intakes on death and myocardial reinfarction: diet and reinfarction trial (DART). Lancet 1989;2:757-61.

75. Leaf A, Weber PC. Cardiovascular effects of n-3 fatty acids. N Engl J Med 1988;318:549-57.

76. Vollset SE, Heuch 1, Bjelke E. Fish consumption and mortality from coronary heart disease. N Engl J Med 1985;313:820 21.

77. Curb JD, Reed DM. Fish consumption and mortality from coronary heart disease. N Engl J Med 1985;313:821.

78. Crombie IK, McLoone P, Smith WC, Thomson M, Pedoe HT. International differences in coronary heart disease mortality and consumption of fish and other foodstuffs. Eur Heart J 1987;8:560-3.

79. Hunter DJ, Kazda 1, Chockalingam A, Fodor JG. Fish consumption and cardiovascular mortality in Canada: an interregional comparison [see comments]. Am J Prev Med 1988;4:5-10.

80. Simonsen T, Nordoy A. Ischaemic heart disease, serum lipids and platelets in Norwegian 2fc populations with traditionally low or high fish consumption. J Intern Med 1989;225 (Suppl):83-9.

81. Hage B H-H. Food habits and cardiovascular status in adult Melbourne Chinese. (PhD thesis) Monash University Department of Medicine,1992.

 

Copyright © 1994 [Asia Pacific Journal of Clinical Nutrition]. All rights reserved.
Please note: this article has been scanned and reformatted.
Please contact lshirven@ozemail.com.au if any errors are suspected.
Revised: March 30, 2000. 

 

0