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Prevalence of risk factors for non-communicable diseases in the Mekong Delta, Vietnam: results from a STEPS survey
https://doi.org/10.1186/1471-2458-9-291
© Pham et al; licensee BioMed Central Ltd. 2009
Received: 27 March 2009
Accepted: 12 August 2009
Published: 12 August 2009
Abstract
Background
Despite the increasing burden of non-communicable diseases (NCD) in Vietnam, information on the prevalence of preventable risk factors for NCD is restricted to the main urban centres of Ha Noi, and Ho Chi Minh City (HCMC). This population-based survey aimed to describe the prevalence of risk factors for NCD in a rural Vietnamese sample.
Methods
This survey was conducted using the WHO "STEPwise approach to surveillance of non-communicable diseases" (STEPS) methodology. Participants (n = 1978) were residents of the Mekong Delta region selected by multi-stage sampling. Standardised international protocols were used to measure behavioural risk factors (smoking, alcohol consumption, fruit and vegetable consumption, physical activity), physical characteristics (weight, height, waist and hip circumferences, blood pressure – BP), fasting blood glucose (BG) and total cholesterol (TC). Data were analysed using complex survey analysis methods.
Results
In this sample, 8.8% of men and 12.6% of women were overweight (body mass index (BMI) ≥ 25 kg/m2) and 2.3% of men and 1.5% of women were obese (BMI ≥ 30 kg/m2). The prevalence of hypertension (systolic BP ≥ 140 mmHg and/or diastolic BP ≥ 90 mmHg, or taking medication for hypertension) was 27.3% for men and 16.2% for women. There were 1.0% of men and 1.1% of women with raised BG (defined as capillary whole BG of at least 6.1 mmol/L).
Conclusion
We provide the first NCD risk factor profile of people living in the Mekong Delta of Vietnam using standardised methodology. Our findings for this predominantly rural sample differ from previous studies conducted in Ha Noi and HCMC, and suggest that it is inappropriate to generalise findings from the big-city surveys to the other 80% of the population.
Keywords
- Body Mass Index
- Waist Circumference
- Behavioural Risk Factor
- Mekong Delta
- Health Volunteer
Background
Despite the increasing burden of non-communicable diseases (NCD) in Vietnam [1, 2], information on the prevalence of preventable risk factors for NCD is restricted to the main urban centres of Ha Noi [3–6], and Ho Chi Minh City (HCMC) [7–10]. Taken together, these studies paint an incomplete picture of the NCD risk factor profile of the Vietnamese people. In particular, there is a critical lack of information for the 80% of the population living outside the industrialised areas in and around Ha Noi in the North and HCMC in the South. With the exception of a study conducted in Bavi [5, 6], a poor district of Ha Noi, little is known about the NCD risk factor profiles of people living in rural areas of Vietnam.
Home to 21 percent of the country's population, the Mekong Delta – literally the "nine dragon river delta" – is the far southern region of Vietnam. The tributaries of the Mekong River act as a transport network and deposit alluvium, increasing the fertility of the soil that produces abundant harvests of rice and other crops [11]. The river system is also a significant source of food to the population via the fish it supplies. While the Mekong Delta is the main food production area of the country, health services in this region (assessed as number of hospital beds and number of health personnel per 100,000 people) are below the country average [12]. There are no studies apart from our own work that investigate the prevalence of NCD risk factors among residents of the Mekong Delta. Presenting the NCD risk profile for this population would provide the first systemic information of its type to compare with that of other regions and to serve as a baseline for future studies. Moreover, this information will help local authorities to prioritise the health service and health promotion interventions in the region.
This study aimed to describe the prevalence of risk factors for NCD in a rural Vietnamese sample from the Mekong Delta using standardised survey methodology developed by the World Health Organization (WHO) – the STEPwise approach to surveillance of non-communicable diseases (STEPS) [13]. In addition, we compare estimates for men and women in this sample, and our results to those of previous surveys conducted in the two big cities and discuss possible explanations for the differences found.
Methods
Subjects and sampling
This population-based survey was conducted among 25–64 year old residents of Can Tho in the Mekong Delta, Vietnam. Eligible subjects were selected by multistage sampling with age, sex, and urban/rural stratification. In brief, the sampling process was as follows. At the first stage, a sample of eight urban- and eight rural-classified communes was selected with probability proportional to size and with replacement. The second-stage sampling units were health volunteers who are responsible for providing basic health services for residents living in their local area. The health volunteers maintain and update the lists of these people regularly. Collectively the health volunteers cover all households in each commune. One health volunteer was chosen from each selected commune with probability proportional to size of the population for which they were responsible and with replacement. Health volunteers who were responsible for only a small number of households were combined prior to sampling. At the third stage, persons were selected from the list of each selected health volunteer, with stratification for age (we sought equal numbers in the four age categories 25–34 years, 35–44 years, 45–54 years, and 55–64 years) and sex (we sought equal numbers of men and women). The target number of participants in each commune was 125. People who were institutionalized at the time of data collection were excluded. The sample of eligible subjects consisted of 2683 persons of whom 73.7% (1978/2683) participated in this survey.
Informed consent was obtained from participants. Those who could not sign provided verbal consent. The study was approved by the Ethics Committee of Can Tho University of Medicine and Pharmacy. Data collection was carried out from July to November 2005.
Measurements
Measurements by questionnaire consisted of demographic characteristics, socio-economic factors, and four behavioural risk factors (smoking, alcohol consumption, fruit and vegetable consumption and physical activity). The questionnaire was modified with expanded and optional questions to suit local needs. Extended questions were questions in the STEPS instrument modified by adding locally relevant response options (that described types of work specific to the local area, for example). Optional questions were new questions added to the instrument because they were deemed locally important (in relation to passive smoking, for example). All the modifications were done in accordance with the WHO STEPS manual [13]. The questionnaire was translated into Vietnamese and back-translated by independent translators to ensure the appropriate meaning of each item was retained.
Physical measurements included weight (in bare feet without heavy clothing measured using Seca 767 digital scales), height (in bare feet without headwear measured using a Seca 220 stadiometer), waist circumference (at the narrowest point between the lower costal border and the iliac crest measured using a constant tension tape), hip circumference (at the greatest posterior protuberance of the buttocks measured using a constant tension tape), and blood pressure (at the midpoint of the right arm after participants had rested for at least five minutes measured using an Omron T9P digital automatic blood pressure monitor). Two blood pressure readings were obtained for all participants. A third reading was taken if there was a difference of more than 25 mmHg for systolic blood pressure (SBP) or 15 mmHg for diastolic blood pressure (DBP) between the first two readings. The mean of all measures was used.
Biochemical measures included fasting total cholesterol (TC) and fasting blood glucose (BG) measured in capillary blood using a Roche Diagnostics Accutrend Glucometer.
Data collection staff were medical doctors, laboratory technicians and medical students. They underwent intensive training and supervision provided by the Menzies Research Institute. A pilot study was conducted to test survey instruments and procedures before actual data collection. Questionnaires were administered by face-to-face interviews. All measurements were performed in accordance with the WHO STEPS protocols [13] at a clinic set up at 16 different field testing sites.
Statistical methods
Data were coded and presented according to WHO guidelines [13]. Hours of physical activity of moderate and vigorous intensities were weighted by their Metabolic Equivalent Task (MET) values provided in the WHO guidelines (moderate activity is assigned a MET of 4 and vigorous activity is assigned a MET of 8). Analyses were performed using STATA software version 9.2. Complex survey analysis methods were used to estimate the prevalence of study factors taking into account the sampling design and the sampling weight of each participant. A sampling weight for each participant was calculated as the inverse of the probability of selection of that particular participant taking into account each stage of the sampling process. The age structure of the Vietnamese population from the 1999 census [14] was used to estimate the age-standardised prevalence of hypertension. In regression analyses, we investigated whether differences between men and women in change in SBP, BG and TC with age could be explained by differences in the four behavioural risk factors or BMI.
Results
Characteristics of study participants in Can Tho, 2005.
Men (N = 911) | Women (N = 1067) | p | |||
|---|---|---|---|---|---|
% | n | % | n | ||
Age | |||||
25–34 | 17.2 | 157 | 18.8 | 201 | |
35–44 | 26.9 | 245 | 27.4 | 292 | |
45–54 | 29.6 | 270 | 28.2 | 301 | |
55–64 | 26.2 | 239 | 25.6 | 273 | 0.003 |
Ethnicity | |||||
Vietnamese | 92.2 | 839 | 91.0 | 970 | |
Chinese | 1.5 | 14 | 2.3 | 24 | |
Khmer | 6.2 | 56 | 6.8 | 72 | |
Others | 0.1 | 1 | 0 | 0 | 0.059 |
Education completed | |||||
< Primary school | 38.0 | 346 | 55.6 | 593 | |
Primary school | 27.5 | 250 | 21.1 | 225 | |
Secondary school | 17.8 | 162 | 11.9 | 127 | |
High school* | 10.9 | 99 | 7.2 | 77 | |
College/University† | 5.8 | 53 | 4.1 | 44 | 0.002 |
Employment status | |||||
Employed | 13.1 | 119 | 7.4 | 79 | |
Self-employed | 62.4 | 568 | 50.2 | 535 | |
Non-paid/student | 0.6 | 5 | 0.8 | 8 | |
Homemaker | 0.8 | 7 | 25.5 | 272 | |
Retired/unemployed‡ | 7.0 | 64 | 4.7 | 50 | |
Unstably employed§ | 16.2 | 147 | 11.4 | 122 | <0.001 |
Occupation | |||||
Farmers | 35.9 | 362 | 24.1 | 294 | |
Industrial workers | 9.4 | 73 | 2.6 | 16 | |
Clerks | 9.6 | 66 | 7.2 | 58 | |
Traders | 13.8 | 107 | 23.7 | 227 | |
Homemakers | 0.0 | 0 | 22.4 | 257 | |
Others | 31.3 | 302 | 20.0 | 214 | <0.001 |
Prevalence of behavioural risk factors for NCD* in Can Tho, 2005.
Men (N = 910) | Women (N = 1066) | |||
|---|---|---|---|---|
% ± SE† | n | % ± SE† | n | |
Smoking | ||||
Current smoker | 67.8 ± 1.8 | 631 | 1.1 ± 0.5 | 16 |
Daily smoker | 63.1 ± 2.2 | 594 | 0.6 ± 0.3 | 10 |
Non-daily smoker | 4.6 ± 0.9 | 37 | 0.4 ± 0.2 | 6 |
Ex-smoker | 13.0 ± 1.1 | 130 | 0.1 ± 0.1 | 3 |
Never smoker | 19.2 ± 1.6 | 149 | 98.8 ± 0.6 | 1047 |
Alcohol consumption | ||||
Ever consume alcohol | 87.2 ± 1.7 | 794 | 11.6 ± 1.0 | 127 |
Consume last 12 months‡ | 80.9 ± 1.9 | 718 | 9.3 ± 0.8 | 104 |
Consume weekly | 39.9 ± 1.8 | 345 | 0.8 ± 0.5 | 12 |
Consume 5 days last week§ | 6.6 ± 1.3 | 84 | 0.4 ± 0.2 | 6 |
≥ 5 drinks any day|| | 38.6 ± 2.7 | 330 | 0.4 ± 0.2 | 7 |
Fruit & vegetables | ||||
5+ servings/day | 30.2 ± 2.1 | 243 | 26.5 ± 3.0 | 238 |
Physical activity¶ | ||||
Low (<600 MET-mins) | 32.7 ± 5.3 | 281 | 40.4 ± 2.4 | 405 |
Moderate (600–2999 MET-mins) | 16.7 ± 2.2 | 171 | 24.2 ± 1.4 | 247 |
High (3000+ MET-mins) | 50.6 ± 5.3 | 452 | 35.4 ± 3.1 | 396 |
Prevalence of pathophysiological risk factors for NCD* in Can Tho, 2005.
Men (N = 910) | Women (N = 1066) | |||
|---|---|---|---|---|
% ± SE† | n | % ± SE† | n | |
Body mass index | ||||
<18.5 kg/m2 | 16.8 ± 2.8 | 174 | 17.4 ± 1.9 | 172 |
18.5–19.9 kg/m2 | 21.8 ± 2.1 | 201 | 18.6 ± 1.5 | 169 |
20.0–22.9 kg/m2 | 37.8 ± 2.4 | 327 | 32.2 ± 2.4 | 354 |
23.0–24.9 kg/m2 | 12.5 ± 2.4 | 112 | 17.7 ± 0.9 | 192 |
25.0–29.9 kg/m2 | 8.8 ± 2.1 | 83 | 12.6 ± 1.1 | 155 |
30+ kg/m2 | 2.3 ± 1.2 | 10 | 1.5 ± 0.4 | 22 |
Hypertension‡ | ||||
Yes | 27.3 ± 2.5 | 320 | 16.2 ± 1.5 | 280 |
No | 72.7 ± 2.5 | 590 | 83.8 ± 1.5 | 786 |
Blood glucose | ||||
<6.1 mmol/l | 99.0 ± 0.6 | 856 | 98.9 ± 0.2 | 1014 |
6.1–7.0 mmo/l | 0.6 ± 0.5 | 5 | 0.3 ± 0.1 | 8 |
7.0+ mmol/l | 0.4 ± 0.2 | 3 | 0.8 ± 0.2 | 16 |
Total cholesterol | ||||
<5.2 mmol/l (200+ mg%) | 85.5 ± 2.4 | 730 | 79.1 ± 2.1 | 770 |
5.2+ mmol/l (200+ mg%) | 14.5 ± 2.4 | 136 | 20.9 ± 2.1 | 268 |
NCD* risk factor estimates by age group and sex in Can Tho, 2005.
BMI † | SBP ‡ | BG § | TC || | |
|---|---|---|---|---|
Mean(SE) | Mean(SE) | Mean(SE) | Mean(SE) | |
Men | ||||
25–34 | 21.4(0.6) | 126.0(1.7) | 3.56(0.08) | 4.39(0.09) |
35–44 | 21.2(0.2) | 125.0(1.2) | 3.64(0.09) | 4.37(0.06) |
45–54 | 21.3(0.3) | 134.3(1.3) | 3.75(0.10) | 4.57(0.08) |
55–64 | 20.8(0.3) | 140.0(1.5) | 3.65(0.10) | 4.66(0.06) |
p for trend ¶ | p = 0.543 | p < 0.001 | p = 0.015 | p = 0.008 |
Women | ||||
25–34 | 20.5(0.2) | 114.3(1.0) | 3.49(0.10) | 4.46(0.08) |
35–44 | 21.4(0.3) | 116.5(1.3) | 3.61(0.10) | 4.45(0.05) |
45–54 | 22.9(0.3) | 129.3(1.0) | 3.87(0.09) | 4.99(0.07) |
55–64 | 22.6(0.3) | 136.6(1.8) | 3.93(0.12) | 5.26(0.10) |
p for trend ¶ | p < 0.001 | p < 0.001 | p < 0.001 | p < 0.001 |
Prevalence of hypertension by age group in Can Tho, 2005.
Association between body mass index and hypertension in Can Tho, 2005.
Discussion
This is the first population survey using internationally standardised protocols to report the prevalence of risk factors for NCD in the Mekong Delta, Vietnam. Previous surveys on NCD have been conducted in Ha Noi and HCMC. There have been some data reported for the population of Bavi [5], an extremely poor district of Hanoi [15], but the findings from this study are unlikely to represent the risk profile of the population of the Mekong Delta where income is much higher and land holdings are much larger.
The first principal finding of this study was that older women in this population-based representative sample generally had an unfavourable NCD risk profile. The sex differences in SBP and TC persisted after adjustment for BMI. This has not been reported previously for Asian populations, but it mirrors reports for some Western populations that blood pressure and TC of men and women converge with advancing age [16–18]. For BG, we found a statistically significant stronger cross-sectional increase with age for women that was diminished by adjustment for BMI but strengthened by additional adjustment for behavioural risk factors. This cross-sectional pattern of increasing levels of BG with age for women, and higher levels for women at older ages, appears not to have been reported previously. Factors not measured in this survey, and which may account for the elevated risk among women, were hormonal status, saturated fat consumption and salt intake.
The second principal finding was the risk profile of this predominantly rural population of Vietnam was markedly different to that reported previously for the two major cities. The prevalence of raised BG (defined as capillary whole BG of at least 6.1 mmol/L) in our sample (men: 1.0%, women: 1.1%) are lower than prevalence estimates reported for the big city convenience samples: 2.7% for men and 2.6% for women aged 20–60 in HCMC in 2004 [8], 4.6% of men and 5.8% of women in the subset of participants aged 25–64 in another sample of HCMC population in 2001 [7], and 5.8% of 20–74 years old residents in Ha Noi in 2005 [4]. A possible explanation for these differences lies in the higher proportion of overweight and obesity observed in the big city surveys. The proportions of obese (BMI at least 23 kg/m2) participants in our sample (men 23.6%, women 31.8%) were lower than that reported for the Ha Noi sample (33.7%) [4], fewer participants in our survey (12.9%) than in the Ha Noi sample (17.5%) [4] had abdominal obesity (waist circumference ≥ 90 cm for men or waist circumference ≥ 80 cm for women). In the HCMC sample, 18.6% of participants had BMI at least 25 kg/m2 but only 12.7% (men 11.1%, women 14.1%) of our participants exceeded this level [7]. In the rural sample of Ha Noi from Bavi, only 3.5% of participants had BMI at least 25 kg/m2 [5]. Another possible explanation for the higher prevalence of raised BG in the big city samples is the lower levels of physical activity among the urban residents. There was 46.6% of men and 41.3% of women aged 25–64 in a HCMC sample in 2005 [9] classified as having a low level of physical activity compared to 32.7% of men and 40.4% of women in our samples.
In contrast to raised BG, the proportions of participants in our sample with hypertension (27% of men and 16% of women) exceed the prevalence estimates reported for the big city surveys. Hypertension was identified among 21% of men and 10% of women in a sample of 25–64 year olds from a single commune in Ha Noi in 2007 [3], 17.5% for the subset of 20–59 year old participants of a convenience sample from two districts of Ha Noi in 2005 [4], and 11% for men and 9% for women aged 20–60 in HCMC [8]. Our results are more similar to those reported for the extremely poor rural sample of Ha Noi from Bavi [5] in 2005 (24% for men and 14% for women aged 25–64) in which the prevalence of overweight and obesity was less than a third of that found this study. Dietary sodium intake has been linked with hypertension [19], and salt consumption may be higher in poor rural areas where it is used to add flavour to rice. No published study to date has measured dietary sodium levels in a Vietnamese population, however, and this contention remains unsupported. Alcohol has been shown to be associated with elevated blood pressure [20]. Our prevalence estimates of alcohol consumption are the only published Vietnamese data, and, therefore, no comparisons are possible. Tobacco smoking has been associated with elevated blood pressure in another study from this region [21]. The limited data on smoking prevalence in Vietnam show relatively minor variation through the country. In our sample, 67.8% of men and 1.1% of women were current smokers. In a HCMC sample of 20–60 year olds, 62.2% of men and 1.4% of women were current smokers in 2004 [8] and 62.9% of men and 0.6% of women were current smokers in the Bavi sample [5].
A key strength of this study was its use of a representative sample, with analysis done taking into account the complex survey design. The relatively high response proportion minimises the likelihood of selection bias, and the range and quantum of factors that were measured should be a good reflection of those factors in the Vietnamese population. The use of WHO standardised protocols, intensive training of data collection staff, pre-study testing of procedures, and the close supervision of staff during data collection, all highlight the attention that was paid to minimising avoidable sources of measurement error.
Limitations of this study need to be borne in mind. The STEPS methodology is designed to provide standardised information on key modifiable risk factors that can be measured in population-based surveys without resort to high technology instruments. It is not designed to measure total energy intake, dietary fat, dietary sodium, body fatness, or physical activity by objective methods such as accelerometry and pedometry. Information on these factors would have provided a more comprehensive picture of the relationships we studied. In addition, these cross-sectional data do not allow age-related differences in blood pressure, BG and TC to be attributed to ageing independently of cohort effects.
Conclusion
This study provides the first NCD risk factor profile of people in the Mekong Delta of Southern Vietnam using internationally standardised methodology. Our findings for this predominantly rural sample differ from previous studies conducted in Ha Noi and HCMC, and suggest that it is inappropriate to generalise findings from the big-city surveys to the more than 80% of Vietnamese people who live outside the two commercial centres.
Declarations
Acknowledgements
We would like to thank The Atlantic Philanthropies Inc, USA for its financial support for data collection of the survey. We also thank Dr. Ho Long Hien, Dr. Nguyen Thi Thu Cuc, Dr. Kha Huu Nhan, Dr. Duong Quoc Thang, and the data collection team for their contributions.
Authors’ Affiliations
References
- The World Health Report. 2003, Geneva: World Health Organization, [updated 2003; cited 2008 Nov 11], [http://www.who.int/whr/2003/en/]
- Morbidity and mortality patterns. 2003, Hanoi: Ministry of Health, [updated 2003; cited 2007 Dec 13], [http://www.moh.gov.vn]
- Nguyen LV: Application of appropriate preventive and therapeutic strategies for hypertension in community setting. 2007, Hanoi: Ministry of Health, Vietnam, [updated 2007; cited 2008 Aug 12], [http://www.cimsi.org.vn/nckh/upload/fileUrl/69.pdf]Google Scholar
- Ta VB, Hoang KU: Diabetes and glucose intolerance prevalence and their risk factors in Hanoi. 2005, Hanoi: Ministry of Health, Vietnam, [updated 2005; cited 2008 Aug 12], [http://www.cimsi.org.vn/nckh/upload/fileUrl/tinhoc06.pdf]Google Scholar
- Hoang VM, Byass P, Dao LH, Nguyen TK, Wall S: Risk factors for chronic disease among rural Vietnamese adults and the association of these factors with sociodemographic variables: Findings from the WHO STEPS survey in rural Vietnam, 2005. Prev Chronic Dis. 2007, 4 (2): A22-PubMedGoogle Scholar
- Minh HV, Byass P, Chuc N, Wall S: Gender differences in prevalence and social economic determinants of hypertension: findings from the WHO STEPS survey in a rural community of Vietnam. J Hum Hypertens. 2006, 20: 109-115. 10.1038/sj.jhh.1001942.View ArticlePubMedGoogle Scholar
- Son L, Hung N, Loan T, Chuyen N, Kunii D, Sakai T, Yamamoto S: Prevalence and risk factors for diabetes in Ho Chi Minh City, Vietnam. Diabetic Medicine. 2004, 21: 371-376. 10.1111/j.1464-5491.2004.01159.x.View ArticleGoogle Scholar
- Cuong T, Dibley M, Bowe S, Hanh T, Loan T: Obesity in adults: an emerging problem in urban areas of Ho Chi Minh City, Vietnam. Eur J Clin Nutr. 2007, 61: 673-681.PubMedGoogle Scholar
- Trinh OTH, Nguyen DN, Dibley MJ, Phongsavan P, Bauman AE: The prevalence and correlates of physical inactivity among adults in Ho Chi Minh City. BMC Public Health. 2008, 8: 204-10.1186/1471-2458-8-204.View ArticlePubMedPubMed CentralGoogle Scholar
- Duong DN, Ryan R, Vo DV, Tran TT: Hypertension screening and cardiovascular risk profiling in Vietnam. Nursing and Health Sciences. 2003, 5: 269-273. 10.1046/j.1442-2018.2003.00160.x.View ArticlePubMedGoogle Scholar
- Rice: market outlook. Major rice exporting countries. United States Department of Agriculture. 2008, 10.1080/14034950310015031. [updated 2008 April 21; cited 2009 May 26], [http://www.ers.usda.gov/Briefing/rice/2008baseline.htm]
- Education, Health, Culture and Living Standard. 2007, Hanoi: General Statistics Office, [updated 2007; cited 2008 Nov 5], [http://www.gso.gov.vn/default.aspx?tabid=395&idmid=3&ItemID=7673]
- The STEPS Mannual. 2005, Geneva: World Health Organisation, [updated 2005; cited 2007 Dec 13], [http://www.who.int/chp/steps/riskfactor/en/index.html]
- Population and housing census Vietnam 1999. 1999, Hanoi: General Statistics Office of Vietnam, [updated 1999; cited 2007 Dec 14], [http://www.gso.gov.vn/default_en.aspx?tabid=476&idmid=4&ItemID=1841]
- Chuc NT, Diwan VK: FilaBavi, a demographic surveillance site, an epidemiological field laboratory in Vietnam. Scand J Public Health. 2003, 31 (Suppl 62): 3-7. 10.1080/14034950310015031.View ArticleGoogle Scholar
- Pearson J, Morrell C, Brant L, Landis P, Fleg J: Age-associated changes in blood pressure in a longitudinal study of healthy men and women. J Gerontol. 1997, 52A (3): M177-M183.View ArticleGoogle Scholar
- Schaefer E, Lamon-Fava S, Cohn S, Schaefer M, Ordovas J, Castelli W, Wilson P: Effects of age, gender, and menopausal status on plasma low density lipoprotein cholesterol and apolipoprotein B levels in the Framingham Offspring Study. J Lipid Res. 1994, 35 (5): 779-792.PubMedGoogle Scholar
- Kannel W, Gordon T: Evaluation of cardiovascular risk in the elderly: The Framingham study. Bull NY Acad Med. 1978, 54 (6): 573-591.Google Scholar
- Freid ED: Salt, volume and the prevention of hypertension. Circulation. 1976, 53 (4): 589-595. 10.1136/bmj.294.6579.1045.View ArticleGoogle Scholar
- Saunders J: Alcohol: an important cause of hypertension. Br Med J. 1987, 294 (6579): 1045-1056. 10.1097/01.hjh.0000173517.68234.c3.View ArticleGoogle Scholar
- Tsai PS, Ke TL, Huang CJ, Tsai JC, Chen PL, Wang SY, Shyu YK: Prevalence and determinants of prehypertension status in the Taiwanese general population. J Hypertens. 2005, 23: 1355-1360. 10.1097/01.hjh.0000173517.68234.c3.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/9/291/prepub
Pre-publication history
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