Literature DB >> 33340436

Hypertension in a multi-ethnic Asian population of Singapore.

Gek Cher Chan1, Boon Wee Teo1,2, Jam Chin Tay3, Chen-Huan Chen4,5,6, Hao-Min Cheng4,5,6,7, Tzung-Dau Wang8, Yuda Turana9, Kazuomi Kario10, Yook-Chin Chia11,12, Kelvin Tsoi13, Guru Prasad Sogunuru14,15, Jennifer Nailes16.   

Abstract

The prevalence of hypertension varies by country and region, but it remains a leading yet modifiable risk factor of cardiovascular disease. There are many factors that contribute to the burden of hypertension in Asia, a region with diverse ethnicity. It has been shown that sociodemographic variability is related to ethnic differences, thereby emphasizing the importance of hypertension screening and educating at-risk or vulnerable groups. In this review, we describe the ethnic differences in genetic variants, dietary choice, and lifestyle habits, as well as its association with sociodemographic differences, hypertension awareness, and treatment control.
© 2020 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC.

Entities:  

Keywords:  genetics; hypertension; lifestyle habits; multiethnicity; sociodemographics

Mesh:

Year:  2020        PMID: 33340436      PMCID: PMC8029544          DOI: 10.1111/jch.14140

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


INTRODUCTION

Hypertension is the leading preventable risk factor for cardiovascular disease. According to the World Health Organization (WHO), around 1.13 billion people have hypertension globally. Worldwide burden of hypertension has been estimated to exceed 1.5 billion people by 2025. Current antihypertensive therapies are effective and can reduce the risk of cardiovascular diseases and its complications, and lower the relative and absolute risk of cardiovascular mortality. Unfortunately, the levels of awareness, treatment, and control of hypertension vary between different countries and population groups. Asia is a diverse continent with diversities in hypertension prevalence, awareness, treatment, and control rates. , Several factors contribute to the current hypertension burden in Asia, including modernization, urbanization, lifestyle changes (dietary high salt intake and obesity), and socioeconomic status. , The impact of ethnic and socioeconomic disparities on hypertension outcomes has been well established in the Western countries. , , Singapore is a rapidly aging, urbanized, and multi‐ethnic Asian population (Chinese, Malays, and Indians). In this article, we review the ethnic difference in hypertension awareness and treatment control associated with the sociodemographic difference.

EPIDEMIOLOGY OF RISK FACTORS AND CARDIOVASCULAR DISEASE

Singapore is a small city‐state with a population of about 5.7 million (2019) of which about 4 million are residents. Majority of the population were Chinese (74.4%), followed by the Malays (13.4%) and Indians (9.0%). 3.2% were others. These proportions had been fairly constant for the past 10 over years. In a Singapore National Health Survey 2010, resident Singapore population aged 18 to 79 years were surveyed from six locations including primary care clinics and community club that were well spread across the country. Random sample selection was based on two‐stage stratified design to select individuals within the vicinity of survey sites, and to yield a sample that was representative of national housing type, and demographics distribution. Oversampling was conducted for the Malay and Indian ethnicity groups to allow for reliable prevalence estimates for these groups. The prevalence of hypertension was 23.4%, 28%, and 19.3% in Chinese, Malay, and Indians, respectively. Among the three major ethnic groups, Malays had the highest prevalence of hypertension, hyperlipidemia, obesity, and smoking and the highest age‐standardized incidence rate of acute myocardial infarction (AMI) and stroke. (Tables 1 and 2) This was not unexpected based on the incidence of hypertension that was highest in the Malays who also had other associated risk factors. Indians had the highest prevalence of diabetes mellitus (DM), low high‐density lipoprotein (HDL), and regular alcohol intake. (Tables 1 and 2).
Table 1

Cardiovascular risk factors (prevalence by %) in Singapore

DMHyperlipidemiaLow HDLObesityAbdominal fatHigh BMI
Chinese9.717.15.67.915.519.4
Malay16.622.61224.018.938.0
Indians17.212.623.216.926.132.8

Abbreviations: BMI, body mass index; DM, diabetes mellitus; HDL, high‐density lipoproteins.

Table 2

Age‐standardized incidence rate in 2010 & 2017 (per 100 000 population) in Singapore

20102017
AMI
Chinese158.2187.4
Malay373.6453.4
Indians372.1447.0
Stroke
Chinese148.2144.4
Malay243.9243.8
Indians154.3160.3
Cardiovascular risk factors (prevalence by %) in Singapore Abbreviations: BMI, body mass index; DM, diabetes mellitus; HDL, high‐density lipoproteins. Age‐standardized incidence rate in 2010 & 2017 (per 100 000 population) in Singapore From 2010 to 2017, the prevalence of hypertension stayed around just above 20%. The prevalence of DM had remained stable around 8%, whereas obesity and smoking had fallen from 10.8% to 8.7% and 14.3% to 12%, respectively. However, the prevalence of hyperlipidemia had increased from 25.2% to 33.6%. (Table 3).
Table 3

Changes in disease (prevalence by %) in Singapore

20102017
Hypertension23.521.5
Hyperlipidemia25.233.6
DM8.38.6
Obesity10.88.7
Daily smoking14.312.0
AMI a 194.5233.7
Stroke a 158.6156.4

Abbreviations: AMI, acute myocardial infarction; BMI, body mass index; DM, diabetes mellitus; HDL, high‐density lipoproteins.

Age‐standardized incidence rate per 100 000 population.

Changes in disease (prevalence by %) in Singapore Abbreviations: AMI, acute myocardial infarction; BMI, body mass index; DM, diabetes mellitus; HDL, high‐density lipoproteins. Age‐standardized incidence rate per 100 000 population. The incidence rate of AMI had also increased, whereas stroke had stabilized over the years. , (Tables 2 and 3) The increase in AMI was observed in all ethnic groups. Similarly, stroke had seemed to be stable in all the 3 ethnic groups.

ETHNIC DIFFERENCES AND HYPERTENSION IN ASIA

In the United States (US) population, the age‐adjusted prevalence of hypertension is highest in non‐Hispanic blacks followed by non‐Hispanic whites. The prevalence of hypertension, within the past 10 years, across various countries in Asia is described in Table 4, and this ranges between 23.5% to 60%. Of note, the methodologies that have been adopted by each survey or study may differ from one another, including the age range of target sample population, albeit the impact of other contributing factors like sodium intake or socioeconomic and culture differences on hypertension prevalence.
Table 4

Prevalence and awareness of hypertension, and sodium intake by country (by %)

Prevalence (%)Age range (years) a Awareness (%) 34

Sodium intake, g/day (95% uncertainty intervals) b

19

China25.2 34 ≥18 34 46.54.83 (4.62‐5.05)
Hong Kong31.6 34 ≥20 34 46.2NR
India29.8 34 ≥18 34

25.1 (rural)

41.9 (urban)

3.72 (3.63‐3.82)
Indonesia34.1 20 ≥18 20 35.83.36 (3.02‐3.76)
Japan

60.0 (Male) 34

41.0 (Female)

40‐74 (Male) 34

40‐74 (Female)

NR4.89 (4.71‐5.08)
Korea

33.7 (Male) 35

27.4 (Female)

≥30 (Male) 35

≥30 (Female)

58.5 (Male)

76.1 (Female)

5.21 (4.98‐5.48)
Malaysia30.3 34 ≥18 34 43.23.57 (3.25‐3.93)
Philippines28.0 34 ≥18 34 67.84.29 (3.65‐5.10)
Singapore23.5 34 18‐69 34 73.75.14 (4.36‐6.02)
Taiwan24.5 36 ≥19 36 72.13.92 (3.66‐4.17)
Thailand25 37 NR 37 55.35.31 (4.88‐5.75)

Abbreviation: NR, not reported.

Age range of population studied.

Age‐standardized estimated sodium intakes (g/day) in 2010.

Prevalence and awareness of hypertension, and sodium intake by country (by %) Sodium intake, g/day (95% uncertainty intervals) 25.1 (rural) 41.9 (urban) 60.0 (Male) 41.0 (Female) 40‐74 (Male) 40‐74 (Female) 33.7 (Male) 27.4 (Female) ≥30 (Male) ≥30 (Female) 58.5 (Male) 76.1 (Female) Abbreviation: NR, not reported. Age range of population studied. Age‐standardized estimated sodium intakes (g/day) in 2010.

GENETICS AND ETHNIC DIFFERENCES IN HYPERTENSION

There are several factors that contribute to the differences in prevalence of hypertension between countries, as well as ethnic groups. Kato et al conducted a genome‐wide association study, which identified 12 genetic loci affecting blood pressure across three different ancestry groups. This study involved participants of East Asian (Japan, Korea, China, Philippines, Taiwan), South Asian (India, Singapore, Sri Lanka, Pakistan), and European ancestry, revealing common genetic variants at loci points genes involving vascular smooth muscle (IGFBP3, KCNK3, PDE3A, and PRDM6) and renal function (ARHGAP24, OSR1, SLC22A7, and TBX2). In addition, they demonstrated that DNA methylation played a possible role in linking these common genetic variants with various blood pressure phenotypes. However, another study by Williams et al may offer an explanation to account for differences in hypertension among ethnic groups. They adopted a candidate gene approach to study how the central nervous system serotonin function is regulated by genetic factors. On chromosome 17, 5HTTLPR is a polymorphism in the promoter region of SLC6A4 that encodes for serotonin transporter. 5HTTLPR have long (L) and short (S) variants. The authors evaluated the association of 5HTTLPR alleles with prevalence of hypertension in two multi‐ethnic populations from the United States and Singapore. L and L’ alleles were found to be associated with hypertension prevalence in White Americans. In contrast, L’ alleles were associated with lower hypertension prevalence in African/Native Americans as well as in Singaporean Chinese and combined Asian samples, while S’ allele carriers were associated with higher diastolic blood pressure in these groups, thereby demonstrating a difference in effects of rs25531 genotype on blood pressure in various ethnic groups.

SALT INTAKE AND SCREENING OF HYPERTENSION

A local National Nutrition Survey was conducted in 2010. Salt intake and urinary sodium excretion were evaluated. The mean urinary sodium excretion in adults was 142.2 mmol/24 hours, with an estimated average salt intake of 8.3 g/day. Men had a higher average salt intake of 9.6 g/day. Among the ethnic groups, there were no significant differences in salt intake. As a worldwide comparison, Powles et al analyzed sodium intake in adults globally and showed a global average of sodium intake of 3.95 g/day. Between countries, highest intakes were observed in East Asia (4.80 g/day), Asia Pacific High Income (Japan and South Korean mainly, 5.0 g/day), and Central Asia (5.51 g/day), thereby emphasizing the need for sodium reduction and enhanced surveillance. In addition, based on Indonesia's basic health research data (2018), a difference in hypertension prevalence was observed in each Indonesian province (25.9%‐44.4%). This was related to cultural differences including high‐fat and high‐salt diets in several provinces. The prevalence of hypertension and age‐standardized estimated sodium intakes by country are described in Table 4. Lifestyle and dietary guidelines of hypertension, diabetes, and chronic kidney disease have recommended a daily dietary sodium intake of less than 100 mmol/day (<2.4 g/day). , One method of estimating daily sodium intake is by measuring 24‐hour urinary sodium excretion. Subramanian et al developed a 5‐variable equation, including spot urine sodium to predict 24‐hour urine sodium excretion in a multi‐ethnic Singaporean cohort. The 24‐hour urine sodium excretion measurements for those who were not on diuretics were as follows: 120.8 ± 73.1 mmol (Chinese), 112.5 ± 62.0 mmol (Malay), and 151.1 ± 68.1 mmol (Indians). In addition to urinary sodium measurements, it would be important to screen for primary aldosteronism. A local study by Loh et al showed that prevalence of primary aldosteronism accounted for around 5% of the cause of hypertension in adults in Singapore. The study screened 350 patients by using random ambulatory plasma aldosterone concentration to plasma renin activity (PAC/PRA), followed by confirmatory studies including saline infusion suppression test, adrenal computed tomographic scan, and adrenal vein sampling. About half of patients with primary aldosteronism were due to unilateral aldosterone‐producing adrenal adenoma.

SMOKING AND ALCOHOL CONSUMPTION TRENDS

A cross‐sectional study in 2016 compared smoking trends in 2016 with those of Singapore Mental Health Study in 2010. , The prevalence of current smokers was similar to 2010 and remained around 16% in 2016, among which Malay ethnicity was associated with smoking. In the Singapore Mental Health Study 2016, among the current smokers, 63.7% were Chinese, 23.9% were Malays, and 9.8% were Indians. The study also observed Malay and Others’ ethnic groups were associated with current smoking prevalence. A similar trend was observed by another cross‐sectional Malaysian study in which prevalence of smoking were higher in Malays and Bumiputras. (Table 5).
Table 5

Prevalence of smoking in Singapore, Malaysia, and Indonesia

Prevalence of smoking (%)Current smokers by ethnicity (%)
Singapore16% 25 , 26 Chinese: 63.7% 25 , 26
Malays: 23.9%
Indians: 9.8%
Malaysia22.8% 27 Chinese and Indians: 7.8% 27
Malay and other Burmese: 92.2%
Indonesia31.9% 38 NR

Abbreviation: NR, not reported.

Prevalence of smoking in Singapore, Malaysia, and Indonesia Abbreviation: NR, not reported. Based on the data from Singapore Mental Health Study 2010, another study assessed prevalence of heavy drinking which was based on the largest number of drinks in one single day, and was therefore defined as men having 5 or more drinks a day, and women having 4 or more drinks a day in the last 12 months. The definition of a drink was a can or bottle of beer, a glass of wine, a shot or jigger of liquor alone or mixed. The authors observed that Malays were less likely to engage in heavy drinking as compared to Chinese, which was possibly due to the impact of religious and cultural beliefs. In a National Health and Morbidity Survey 2011 in Malaysia, prevalence of alcohol use was higher in Chinese and Indian as compared to Malays. On the contrary, the practice of risky drinking was adopted more often by Malays than Chinese.

SOCIODEMOGRAPHIC AND ETHNIC DIFFERENCES IN HYPERTENSION AWARENESS AND CONTROL

In the National Health Survey 2010, 67.4% of all known hypertensives had good blood pressure control and 69.1% on treatment had good control. Chinese had the highest proportion with good control (70%), followed by Indians (68.9%) and Malays (51.5%). 26.3% found to have hypertension was not previously diagnosed, of which Malays had the highest proportion (29.6%), followed by Chinese (26.0%) and Indian (23.8%). A Singapore study conducted by Wu et al (2004‐2007) revealed that working adults with higher levels of education and socioeconomic status were more likely to be undiagnosed but when treated, their blood pressures were better controlled. The authors also emphasized the importance of screening and treating concomitant cardiovascular risk factors (diabetes mellitus, obesity, dyslipidemia, etc) by demonstrating association between presence of these factors with increased level of awareness and treatment of hypertension. However, hypertension remained uncontrolled albeit, a higher level of awareness of the diagnosis in this group of patients with concomitant risk factors. In a later large cross‐sectional multi‐ethnic Asian study, Liew et al recruited participants (2004‐2010) from three ethnic groups (Chinese, Malay, and Indian) to assess correlation between sociodemographic and hypertension, together with level of awareness, treatment, and control in Singapore. Across the ethnic groups, the authors demonstrated that older age, lower education, and homemakers were related to higher odds of hypertension, and the relationship between sociodemographic factors and hypertension varied. Comparing the ethnic groups, Malays and Indians had higher odds of hypertension with increasing age, while stronger association between gender and hypertension was observed among Chinese and Indians. These two cross‐sectional studies confirmed higher rate of hypertension in Malays than the Chinese and Indian. , The Malays were also more likely to be unaware of hypertension and more likely to be uncontrolled. Interestingly, the studies also noted that younger individuals with hypertension were more likely to be unaware of their diagnosis and also more likely to be untreated. , Individuals who were unaware of hypertension were also more likely to be working adults, never married with higher levels of education and higher socioeconomic status. On the other hand, those who were less likely to be unaware of the diagnosis of hypertension were individuals with older age, currently married or separated/divorced/widowed, lower educational level, and retired/unemployed status. In relation to lifestyle habits, smokers and alcohol consumers were more likely to be unaware of their hypertension status or were more likely to be untreated. However, uncontrolled hypertension remained higher in those who were separated/divorced/widowed, or with higher education. Those with lower socioeconomic status were more likely to receive pharmacological treatment but tend to have poorer control. The literature suggested that minority ethnic groups who were hypertensive were more likely to be aware of their hypertension. However, in the local studies, Malays had the higher rate of hypertension and unawareness. , Conversely, Indians (lowest minority) were more aware of having hypertension than Chinese. The observed ethnic differences in hypertension awareness may be attributable to variations in lifestyle and cultural factors. The ethnic differences in relation to hypertension were partly attributed to the differences in sociodemographic characteristics of each ethnic group. Educational level rather than household income was a more important consistent socioeconomic indicator associated with hypertension. Decreased educational level, homemaker, or retired/unemployed were associated with higher odds of hypertension. Educational level was related to hypertension independent of ethnicity. Lower education was consistently associated with higher odds of hypertension in all ethnic groups. Income‐hypertension relationship was not found in Chinese and Malay ethnic groups, but Indians having lower income were significantly associated with hypertension.

PRESCRIBING PATTERN OF ANTI‐HYPERTENSIVES IN SINGAPORE

Prior to 2010, the study by Wu et al observed that the commonest choice of drugs used was beta‐blockers (62.1%). This was followed by calcium channel blocker (CCB, 35.3%), angiotensin‐converting enzyme inhibitor/angiotensin receptor antagonist (ACE inhibitor/ARB, 30.5%), and diuretics (15%). In recent years, the Asia BP@Home study (2017‐2018) was a multinational Asian specialty study evaluating home and clinic blood pressure control. Subanalysis of Singapore population revealed a different pattern of choice of drugs for hypertension from prior to 2010. The analysis showed the choice of anti‐hypertensives used in decreasing order: CCB (74%), ARB (64%), beta‐blockers (29%), and diuretics (22%).

CONCLUSION

The awareness, treatment, and control rate of hypertension need to be improved in all ethnic groups in Singapore. The ethnic differences observed in hypertension were also associated with sociodemographic variability. Age, educational level, income, and lifestyles were important factors. More targeted strategies may be required, in particular, screening in younger, working adults with higher levels of education and higher economic status. Public health awareness through education and lifestyle changes such as stop smoking and drinking may help improved awareness and control of blood pressure. Despite reductions in hypertension prevalence and improvements in control rates in recent years, almost one‐third of all deaths in Singapore are still due to cardiovascular disease. Cardiovascular mortality rates in Singapore have remained virtually unchanged over recent years. In a multi‐ethnic Asian population, controlling cardiovascular risk factors may need particularly important in certain ethnic groups with high cardiovascular events.

CONFLICT OF INTEREST

CH Chen reports personal fees from Novartis, Sanofi, Daiichi Sankyo, SERVIER, and Boehringer Ingelheim Pharmaceuticals, Inc HM Cheng received speakers honorarium and sponsorship to attend conferences and CME seminars from Eli Lilly and AstraZeneca; Pfizer Inc; Bayer AG; Boehringer Ingelheim Pharmaceuticals, Inc; Daiichi Sankyo, Novartis Pharmaceuticals, Inc; SERVIER; Co., Pharmaceuticals Corporation; Sanofi; TAKEDA Pharmaceuticals International and served as an advisor or consultant for ApoDx Technology, Inc Kario reports research grants from Omron Healthcare, Fukuda Denshi, A&D, Pfizer Japan, and honoraria from Omron Healthcare. YC Chia has received honorarium and sponsorship at attend conferences and seminars from Boeringher‐Ingelheim, Pfizer, Omron, Servier, and Xepa‐Sol and an investigator‐initiated research grant from Pfizer. All other authors report no potential conflicts of interest in relation to this article.

AUTHOR CONTRIBUTIONS

Jam Chin Tay had the primary responsibility of writing this paper. Jam Chin Tay, Gek Cher Chan, and Boon Wee Teo wrote the essential part of the manuscript. Chen‐Huan Chen, Hao‐Min Cheng, Tzung‐Dau Wang, Yuda Turana, Kazuomi Kario, Yook‐Chin Chia, Kelvin Tsoi, Guru Prasad Sogunuru, and Jennifer Nailes reviewed/edited the manuscript.
  29 in total

1.  KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease.

Authors: 
Journal:  Am J Kidney Dis       Date:  2007-02       Impact factor: 8.860

2.  Racial disparities in hypertension awareness and management: are there differences among African Americans and Whites living under similar social conditions?

Authors:  Roland J Thorpe; Janice V Bowie; Jenny R Smolen; Caryn N Bell; Michael L Jenkins; John Jackson; Thomas A LaVeist
Journal:  Ethn Dis       Date:  2014       Impact factor: 1.847

3.  Population differences in associations of serotonin transporter promoter polymorphism (5HTTLPR) di- and triallelic genotypes with blood pressure and hypertension prevalence.

Authors:  Redford B Williams; George D Bishop; Brett C Haberstick; Andrew Smolen; Beverly H Brummett; Ilene C Siegler; Michael A Babyak; Xiaodong Zhang; E Shyong Tai; Jeannette Jen-Mai Lee; Maudrene Tan; Yik Ying Teo; Shiwei Cai; Edmund Chan; Carolyn Tucker Halpern; Eric A Whitsel; Shawn Bauldry; Kathleen Mullan Harris
Journal:  Am Heart J       Date:  2016-12-29       Impact factor: 4.749

4.  Variations in hypertension-related outcomes among Blacks, Whites and Hispanics in two large urban areas and in the United States.

Authors:  Haslyn E R Hunte; Graciela Mentz; James S House; Amy J Schulz; David R Williams; Michael R Elliott; Jeffrey D Morenoff; Denise M White-Perkins
Journal:  Ethn Dis       Date:  2012       Impact factor: 1.847

5.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report.

Authors:  Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

6.  Alcohol consumption and risky drinking patterns in Malaysia: findings from NHMS 2011.

Authors:  Mohd Hatta B Abdul Mutalip; Rozanim Bt Kamarudin; Mala Manickam; Hamizatul Akmal Bt Abd Hamid; Riyanti Bt Saari
Journal:  Alcohol Alcohol       Date:  2014-07-11       Impact factor: 2.826

7.  Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation.

Authors:  Norihiro Kato; Marie Loh; Fumihiko Takeuchi; Niek Verweij; Xu Wang; Weihua Zhang; Tanika N Kelly; Danish Saleheen; Benjamin Lehne; Irene Mateo Leach; Molly Scannell Bryan; Yik-Ying Teo; Jiang He; Paul Elliott; E Shyong Tai; Pim van der Harst; Jaspal S Kooner; John C Chambers; Alexander W Drong; James Abbott; Simone Wahl; Sian-Tsung Tan; William R Scott; Gianluca Campanella; Marc Chadeau-Hyam; Uzma Afzal; Tarunveer S Ahluwalia; Marc Jan Bonder; Peng Chen; Abbas Dehghan; Todd L Edwards; Tõnu Esko; Min Jin Go; Sarah E Harris; Jaana Hartiala; Silva Kasela; Anuradhani Kasturiratne; Chiea-Chuen Khor; Marcus E Kleber; Huaixing Li; Zuan Yu Mok; Masahiro Nakatochi; Nur Sabrina Sapari; Richa Saxena; Alexandre F R Stewart; Lisette Stolk; Yasuharu Tabara; Ai Ling Teh; Ying Wu; Jer-Yuarn Wu; Yi Zhang; Imke Aits; Alexessander Da Silva Couto Alves; Shikta Das; Rajkumar Dorajoo; Jemma C Hopewell; Yun Kyoung Kim; Robert W Koivula; Jian'an Luan; Leo-Pekka Lyytikäinen; Quang N Nguyen; Mark A Pereira; Iris Postmus; Olli T Raitakari; Robert A Scott; Rossella Sorice; Vinicius Tragante; Michela Traglia; Jon White; Ken Yamamoto; Yonghong Zhang; Linda S Adair; Alauddin Ahmed; Koichi Akiyama; Rasheed Asif; Tin Aung; Inês Barroso; Andrew Bjonnes; Timothy R Braun; Hui Cai; Li-Ching Chang; Chien-Hsiun Chen; Ching-Yu Cheng; Yap-Seng Chong; Rory Collins; Regina Courtney; Gail Davies; Graciela Delgado; Loi D Do; Pieter A Doevendans; Ron T Gansevoort; Yu-Tang Gao; Tanja B Grammer; Niels Grarup; Jagvir Grewal; Dongfeng Gu; Gurpreet S Wander; Anna-Liisa Hartikainen; Stanley L Hazen; Jing He; Chew-Kiat Heng; James E Hixson; Albert Hofman; Chris Hsu; Wei Huang; Lise L N Husemoen; Joo-Yeon Hwang; Sahoko Ichihara; Michiya Igase; Masato Isono; Johanne M Justesen; Tomohiro Katsuya; Muhammad G Kibriya; Young Jin Kim; Miyako Kishimoto; Woon-Puay Koh; Katsuhiko Kohara; Meena Kumari; Kenneth Kwek; Nanette R Lee; Jeannette Lee; Jiemin Liao; Wolfgang Lieb; David C M Liewald; Tatsuaki Matsubara; Yumi Matsushita; Thomas Meitinger; Evelin Mihailov; Lili Milani; Rebecca Mills; Nina Mononen; Martina Müller-Nurasyid; Toru Nabika; Eitaro Nakashima; Hong Kiat Ng; Kjell Nikus; Teresa Nutile; Takayoshi Ohkubo; Keizo Ohnaka; Sarah Parish; Lavinia Paternoster; Hao Peng; Annette Peters; Son T Pham; Mohitha J Pinidiyapathirage; Mahfuzar Rahman; Hiromi Rakugi; Olov Rolandsson; Michelle Ann Rozario; Daniela Ruggiero; Cinzia F Sala; Ralhan Sarju; Kazuro Shimokawa; Harold Snieder; Thomas Sparsø; Wilko Spiering; John M Starr; David J Stott; Daniel O Stram; Takao Sugiyama; Silke Szymczak; W H Wilson Tang; Lin Tong; Stella Trompet; Väinö Turjanmaa; Hirotsugu Ueshima; André G Uitterlinden; Satoshi Umemura; Marja Vaarasmaki; Rob M van Dam; Wiek H van Gilst; Dirk J van Veldhuisen; Jorma S Viikari; Melanie Waldenberger; Yiqin Wang; Aili Wang; Rory Wilson; Tien-Yin Wong; Yong-Bing Xiang; Shuhei Yamaguchi; Xingwang Ye; Robin D Young; Terri L Young; Jian-Min Yuan; Xueya Zhou; Folkert W Asselbergs; Marina Ciullo; Robert Clarke; Panos Deloukas; Andre Franke; Paul W Franks; Steve Franks; Yechiel Friedlander; Myron D Gross; Zhirong Guo; Torben Hansen; Marjo-Riitta Jarvelin; Torben Jørgensen; J Wouter Jukema; Mika Kähönen; Hiroshi Kajio; Mika Kivimaki; Jong-Young Lee; Terho Lehtimäki; Allan Linneberg; Tetsuro Miki; Oluf Pedersen; Nilesh J Samani; Thorkild I A Sørensen; Ryoichi Takayanagi; Daniela Toniolo; Habibul Ahsan; Hooman Allayee; Yuan-Tsong Chen; John Danesh; Ian J Deary; Oscar H Franco; Lude Franke; Bastiaan T Heijman; Joanna D Holbrook; Aaron Isaacs; Bong-Jo Kim; Xu Lin; Jianjun Liu; Winfried März; Andres Metspalu; Karen L Mohlke; Dharambir K Sanghera; Xiao-Ou Shu; Joyce B J van Meurs; Eranga Vithana; Ananda R Wickremasinghe; Cisca Wijmenga; Bruce H W Wolffenbuttel; Mitsuhiro Yokota; Wei Zheng; Dingliang Zhu; Paolo Vineis; Soterios A Kyrtopoulos; Jos C S Kleinjans; Mark I McCarthy; Richie Soong; Christian Gieger; James Scott
Journal:  Nat Genet       Date:  2015-09-21       Impact factor: 38.330

8.  Sociodemographic factors in relation to hypertension prevalence, awareness, treatment and control in a multi-ethnic Asian population: a cross-sectional study.

Authors:  Seaw Jia Liew; John Tayu Lee; Chuen Seng Tan; Choon Huat Gerald Koh; Rob Van Dam; Falk Müller-Riemenschneider
Journal:  BMJ Open       Date:  2019-05-19       Impact factor: 2.692

9.  Prevalence and correlates of smoking and nicotine dependence: results of a nationwide cross-sectional survey among Singapore residents.

Authors:  Shazana Shahwan; Edimansyah Abdin; Saleha Shafie; Sherilyn Chang; Rajeswari Sambasivam; Yunjue Zhang; Janhavi Ajit Vaingankar; Yik Ying Teo; Derrick Heng; Siow Ann Chong; Mythily Subramaniam
Journal:  BMJ Open       Date:  2019-10-18       Impact factor: 2.692

10.  Lifetime and twelve-month prevalence of heavy-drinking in Singapore: results from a representative cross-sectional study.

Authors:  Wei-Yen Lim; Mythily Subramaniam; Edimansyah Abdin; Vincent Yaofeng He; Janhavi Vaingankar; Siow Ann Chong
Journal:  BMC Public Health       Date:  2013-10-21       Impact factor: 3.295

View more
  4 in total

1.  A cross-sectional study on the perceived barriers to physical activity and their associations with domain-specific physical activity and sedentary behaviour.

Authors:  Yen Sin Koh; P V Asharani; Fiona Devi; Kumarasan Roystonn; Peizhi Wang; Janhavi Ajit Vaingankar; Edimansyah Abdin; Chee Fang Sum; Eng Sing Lee; Falk Müller-Riemenschneider; Siow Ann Chong; Mythily Subramaniam
Journal:  BMC Public Health       Date:  2022-05-26       Impact factor: 4.135

Review 2.  Hypertension in a multi-ethnic Asian population of Singapore.

Authors:  Gek Cher Chan; Boon Wee Teo; Jam Chin Tay; Chen-Huan Chen; Hao-Min Cheng; Tzung-Dau Wang; Yuda Turana; Kazuomi Kario; Yook-Chin Chia; Kelvin Tsoi; Guru Prasad Sogunuru; Jennifer Nailes
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-12-19       Impact factor: 3.738

3.  Trends in cardiovascular risk factors and treatment goals in patients with diabetes in Singapore-analysis of the SingHealth Diabetes Registry.

Authors:  Liang Feng; Amanda Lam; David Carmody; Ching Wee Lim; Gilbert Tan; Su-Yen Goh; Yong Mong Bee; Tazeen H Jafar
Journal:  PLoS One       Date:  2021-11-08       Impact factor: 3.240

4.  Application of machine learning techniques to understand ethnic differences and risk factors for incident chronic kidney disease in Asians.

Authors:  Cynthia Ciwei Lim; Feng He; Jialiang Li; Yih Chung Tham; Chieh Suai Tan; Ching-Yu Cheng; Tien-Yin Wong; Charumathi Sabanayagam
Journal:  BMJ Open Diabetes Res Care       Date:  2021-12
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.