Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Visit old site
Home Print this page Email this page Small font size Default font size Increase font size
Users Online: 355

 Table of Contents  
Year : 2014  |  Volume : 6  |  Issue : 2  |  Page : 89-95

Body mass index relates to blood pressure among adults

Department of Anthropology, University of Delhi, India

Date of Web Publication21-Feb-2014

Correspondence Address:
Suman Dua
Department of Anthropology, University of Delhi, Delhi
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/1947-2714.127751

Rights and Permissions

Background: The blood pressure and anthropometric measurements are important for evaluating the health of children, adolescents as well as adults. Aim: The aim is to study the blood pressure and body dimensions and to find out the prevalence of overweight/obesity and hypertension among adults. Materials and Methods: A cross-sectional study was conducted of all the people belonging to the Punjabi community, residing in Roshanara area and Jaina building in Delhi, for the past 20 years and aged 18-50 years. The men were engaged in transport business and women were mainly housewives. Results: Mean values of all the measurements, that is, height, weight, upper arm circumference, pulse rate, systolic blood pressure (SBP), and diastolic blood pressure (DBP) were higher among males as compared with females, except skinfold thicknesses. Body mass index (BMI) and fat percentage was found to be higher among females as compared with males. There was a significant positive correlation between BMI, fat percentage, and blood pressure both SBP as well as DBP. Odds ratio showed that overweight/obese subjects were more likely to have hypertension than those with normal BMI. Conclusion: Prevalence of prehypertension among overweight/obese suggested an early clinical detection of prehypertension and intervention including life style modification, particularly weight management.

Keywords: Body mass index, Blood pressure (SBP and DBP), India, Punjabi adults, Obesity, Prehypertension

How to cite this article:
Dua S, Bhuker M, Sharma P, Dhall M, Kapoor S. Body mass index relates to blood pressure among adults. North Am J Med Sci 2014;6:89-95

How to cite this URL:
Dua S, Bhuker M, Sharma P, Dhall M, Kapoor S. Body mass index relates to blood pressure among adults. North Am J Med Sci [serial online] 2014 [cited 2023 Feb 1];6:89-95. Available from: https://www.najms.org/text.asp?2014/6/2/89/127751

  Introduction Top

Due to industrialization and urbanization, the standard of living continues to rise particularly in developing countries. This has led to weight gain and obesity, which are posing a threat to the health of citizens. Obesity is perhaps the most prevalent form of malnutrition in developing countries, both among adults and children. Studies have demonstrated that obesity is related to elevated systolic blood pressure (SBP) and diastolic blood pressure (DBP) elevation, dyslipidemia, diabetes, etc. [1],[2],[3]

Obesity, its attendant health consequences and consequent health burden, is expected to reach epidemic proportions in developing countries like India. [4] An increase in the dimension of this problem has been reported in the high socio-economic group in India. A study in Delhi revealed even higher prevalence (32-50%) of overweight (body mass index (BMI) >25) among adults belonging to high income group as compared with 16.2-20% in those belonging to middle income group. [5] BMI, calculated as weight in kg/height in meters squared, is most widely used to estimate the prevalence of obesity or underweight within a population. The relationship between BMI and blood pressure has long been the subject of epidemiological research. Positive association of BMI and blood pressure has also been reported among Asian populations. India in a process of rapid economic development and modernization with changing life style factors has an increasing trend of hypertension especially among urban population. [4] It is important from a public health perspective to have data on the characteristics and health of a population and of different subgroups in the population because of the racial/ethnic disparities in terms of long-term health consequences. It is necessary to identify individuals and populations at risk. The present study was therefore undertaken to examine the prevalence of overweight and obesity among Punjabi adults on the basis of BMI and to analyze the relation between anthropometric measures and blood pressure.

  Materials and Methods Top

Cross-sectional survey of all the people belonging to Punjabi community residing in Roshanara Area and Jaina building in Delhi, for the past 20 years was conducted. A total of 117 males and 123 females aged from 18 to 50 years were included in the present study. Ethical approval for this study was taken from the ethical committee of the Department of Anthoropology, University of Delhi. Anthropometric measurements including height, weight, circumferences (upper arm, calf), skinfold thicknesses (at triceps, biceps, subscapular, and suprailiac) and physiological dimensions like blood pressure were taken on each subject. A standardized protocol was followed while taking measurements. [6] BMI (weight/height 2 ) and fat percentage were calculated. BMI was classified according to the proposed criteria of World Health Organization (WHO) (CED III <16, CED II = 16-16.9, CED I = 17-18.49, underweight < 18.5, normal = 18.5-24.5, overweight = 25.0-29.9, and obese ≥30.00. [7] In the present study, all the subjects having BMI ≥30 were taken as obese. Normal blood pressure was taken as < 120 mmHg (SBP) and <80 mmHg (DBP). Blood pressure values of 120-139 mmHg (SBP) and 80-89 mmHg (DBP) were classified as prehypertensive. Stage-I hypertension was taken as 140-159 mmHg (SBP) and 90-99 mmHg (DBP), whereas blood pressure of >160 mmHg (SBP) and >100 mmHg (DBP) were classified as stage II hypertension (JNC2003). Body fat percentage was also computed. Body fat percentage is total body fat expressed as a percentage of total body weight. (Siri's equation). Body fat percentage = (4.95/D-4.50) Χ 100 where D = Density.

Statistical analysis

SPSS version 16.0 statistical software package was used to carry out statistical analysis. Descriptive statistics of mean and standard deviation, standard error were used to examine the data. Pearson moment correlation was used to find correlation between anthropometric measures and blood pressure. Regression analysis and cross tabulation was also carried out to see relationship between the variables.

The effect of age was controlled statistically to find out the relationship between blood pressure and other variables. Multiple linear regression was performed to quantify the effect of individual variables to SBP and DBP. SBP and DBP in separate models were the dependent variables; the independent variables were BMI, etc., (categorical), age (continuous).

  Results Top

[Table 1] shows the basic measurements of males and females and the difference between the two genders for the same. Mean values of height, weight, upper arm circumference, calf circumference, pulse rate, SBP, and DBP were found to be significantly higher in males as compared with females. The mean values of all the skinfold thicknesses, that is, biceps, triceps, subscapular, and suprailiac were higher among females than males. Similarly mean values of BMI and fat percentage were also higher among females.
Table 1: Signifi cance of the gender diff erence between various measurements

Click here to view

Age was found to have positive and statistically significant correlation with both SBP (r = 0.21, P < 0.01) and DBP (r = 0.18, P < 0.01) among males and for females the correlation between age and blood pressure (SBP and DBP) was r = 0.44, P < 0.01 and r = 0.27, P < 0.01, respectively. There was statistically significant positive correlation between blood pressure (both SBP and DBP) and anthropometric measurements, pulse rate, fat percentage, and BMI as shown in [Table 2] and [Table 3] among males and females, respectively.

The prevalence of overweight/obesity is presented in [Table 4]. The prevalence of underweight was more in females as compared with males. More Punjabi females were obese as compared with males. The prevalence of overweight was higher among males as compared with females.

[Table 5] shows the age adjusted prevalence of hypertension among adult Punjabi males and females. The prevalence of prehypertension as well as hypertension was higher in males as compared with females.
Table 2: Correlation between systolic and diastolic blood pressure with various anthropometric measurements, pulse rate, fat percentage and BMI. Males

Click here to view
Table 3: Correlation between systolic and diastolic blood pressure with various anthropometric measurements, pulse rate, fat percentage, and BMI. Females

Click here to view
Table 4: Age adjusted prevalence of overweight/obesity among Punjabi males and females

Click here to view
Table 5: Prevalence of hypertension among adult Punjabi males and females

Click here to view

As assessed by SBP and DBP, maximum percentage of overweight males had prehypertension; for SBP it was 72.9% and for DBP it was 54.2%. Similarly when DBP is concerned, 25.2% of adult males had Stage I hypertension [Table 6]. Among females also, prehypertension was maximum in overweight females when SBP (73.6%) as well as DBP (52.7%) were considered. The differences in the various categories were found to be statistically significant (chi-square P < 0.001) [Table 7].
Table 6: Distribution of systolic and diastolic blood pressure of adult Punjabi males (18-50 years) according to diff erent BMI categories

Click here to view
Table 7: Distribution of systolic and diastolic blood pressure of adult Punjabi females (18-50 years) according to diff erent BMI Categories

Click here to view

The prevalence of prehypertension and stage-I hypertension increased 2.82 and 2.65 times, respectively, in overweight/obese males as compared with their nonobese counterparts. Almost 8.98 times higher rate of stage II hypertension was observed in overweight/obese males as compared with their nonobese counterparts [Table 8]. Among females also, the prevalence of prehypertension and hypertension increased more than 2 and 3.74 times, respectively, in overweight/obese subjects as compared with the nonobese females. Similar was the status of stage II hypertension. Almost 8.98 times higher rate of hypertension was observed as compared with those who were in normal BMI category [Table 9]. Those who were underweight were less likely to have higher SBP and DBP than those who were in other BMI category.
Table 8: BMI as a risk factor for systolic and diastolic blood pressure (Males)

Click here to view
{Table 8}
Table 9: BMI as a risk factor for systolic and diastolic blood pressure (Females)

Click here to view

  Discussion Top

Age was positively correlated with blood pressure (both SBP and DBP). The relationship between blood pressure and age was found to be significant and was stronger in women than men in the present study. Many studies have found the relationship between blood pressure and age (both SBP and DBP) to be significant among both males and females. [6],[7],[8] In general, blood pressure rises as people get older. Age is known risk factor for high blood pressure. [9],[11],[38] Both SBP and DBP were found to be significantly higher among men as compared with women in the present study. Gender differences in blood pressure are detectable during adolescence and persist through adulthood. In all ethnic groups, men tend to have higher mean SBP and DBP than women, and through middle age, the prevalence of hypertension is higher among men than women. [23] Premenopausal women have quantitatively more lipoprotein lipase (LPL) and higher LPL activity in gluteal and femoral subcutaneous regions, which contain fat cells larger than those in men but these differences disappear after menopause. [24] Men show minimal regional variation in fat cell size or LPL activity. These differences may explain the tendency for premenopausal women to deposit fat preferentially in lower body fat depots. The higher level of intraabdominal tissue found in men compared with premenopausal women seems to explain, in part, the greater prevalence of dyslipidaemia and Chronic Heart Disease (CHD) in men than in premenopausal women.

In the present study, we found statistically significant positive correlation between all the anthropometric measures and SBP and DBP. Studies in various populations also showed strong relationship between different anthropometric indicators and blood pressure levels. [9],[10],[11],[12],[13],[14],[15],[16] Body composition variables such as weight, skinfold thicknesses, etc. have been shown to be significantly correlated with blood pressure in adults. [29] The significant association of BMI with SBP and DBP is also evident from the values of Pearson's correlation coefficient among males and females of the present study [Table 2] and [Table 3]. These findings are in agreement with other studies, [16],[22] which support a strong relationship between BMI and blood pressure across developed and developing countries. [9],[10],[11],[12],[13],[14],[15] Strong relationship of fat percentage with both SBP and DBP among both males and females was also observed in the present study.

Several studies have been done in different parts of India on factors affecting cardiovascular functions. [4] Obesity or excess relative weight is found to be associated with increased risk of disease morbidity and mortality. [21]) BMI is widely accepted as one of the best indicator of nutritional status in adults. [25],[26],[27],[28] The importance of BMI and skinfolds has been recognized for estimating cardiovascular disease (CVD) risk factors, particularly due to their positive association with hypertension. [31] Linear regression showed BMI and waist circumference (WC) as important predictors of hypertension. [17] Subcutaneous abdominal tissue was more consistently related to CVD risk than peripheral skinfolds. Linear correlations between both SBP and DBP for all anthropometric measurements among males were found to be significant in the adult Brazilian men and blood pressure increased with higher BMI, WC, and various skinfold locations. [29] Many investigators have earlier reported significant positive correlation of BMI with SBP and DBP. [17],[18],[31],[32],[33],[34]

The prevalence of obesity was greater in adult females (18%) as compared with males (14.5%) in the present study. Similar gender differences in adiposity have been reported. [17],[34] Greater responsiveness of blood pressure in women to gain in relative weight or abdominal deposition has also been documented. [18],[33],[35]

Our study documents the high prevalence of both hypertension and prehypertension, and their association with other cardiovascular risk factors, among the Punjabi adults of Delhi, India. The prevalence of obesity was higher among females, however, the prevalence of prehypertension and hypertension was higher among males. This has also been previously reported among Baniya population [22] and Jamaican population. [18] In addition, there was a high prevalence of prehypertension in our study (SBP 81.2%, DBP 48.7%), among males as well as females (SBP 37.4%, DBP 44.7%). This was similar to that reported from industrialized economies. [17],[40] In Indians, among urban residents >18 years living in Chennai, the prevalence of prehypertension was reported as 47%. [16] Even in the rural population in Assam, 54% of subjects had prehypertension and one-third had hypertension. [39] The prevalence of prehypertension among Punjabis of the present study was higher as compared with other studies, 47.6% in the Baniyas of Delhi, 28.5% in Uruguay, 20.0% in Australia, 31% in the United States, and 34% in Taiwan.

In the present study, the males mostly belonged to businessmen category, involved in transport business. The higher prevalence of prehypertension and hypertension among Punjabis may be attributable to differences in dietary habits, socio-economic status, sedentary life style, intake of alcohol, and rates of obesity. They did jobs that involved more of mental strain in spite of the fact that they were more or less sedentary (they have drivers and helpers to carry out the various jobs), than the other categories of occupation such as professionals and those doing office work. They were also found to have higher mean values of weight, almost all anthropometric measurements and skinfold thicknesses. [30] The lower levels of blood pressure among women may be attributable to a protective effect of estrogen, [19] smoking, and alcoholic status; most of the women were premenopausal and all of them were nonsmokers and nondrinkers.

The prevalence of hypertension has been increasing in India, both in rural and in urban regions. The public health burden of people with prehypertension is worthy of serious evaluation as these subjects are unaware of their condition and if a population approach to disease prevention is applied, we could expect that a small reduction in mean population blood pressure will result in relatively large reduction in overall disease risk.

In the present study, prevalence of high blood pressure was greater in those with high BMI, which was also reported by other studies. [37],[38] Relationship between prehypertension and overweight and obesity as observed in the present study has also been observed in other studies. [35],[36] Individuals in the urban environment did not only show higher prevalence of obesity but also more elevated blood pressure level. Doll et al.[14] explained obesity-associated hypertension as an inadequate vasodilatation in the presence of increased blood volume and cardiac output, which are natural consequences of an increased mass. Among both males and females, overweight/obesity has been found to be risk factor, more for DBP, which is more dependent on peripheral resistance. Since, DBP is closely correlated with SBP, the factors that increase DBP may thereby also increase SBP. [20] Hypertension has been characterized as a "disease of civilization" resulting from an incompatible interaction between a modern affluent lifestyle and paleolithic genes. [33]

The overall findings suggest obesity to be important risk factor for prehypertension and hypertension as prehypertension and hypertension are more prevalent among overweight and obese subjects as compared with other categories.

  Conclusion Top

Classification as "Prehypertensive" or even at risk for hypertension may cause obese subjects to take notice. As BMI is a reflection of life style, addressing it would be appropriate when subjects are in that range. An elevated BMI being associated with prehypertension may suggest that such individuals are at increased risk of progressing to frank hypertension. Therefore weight management programs are more important for these Punjabis than the life style modification programs targeted at hypertension. But we cannot draw causal relationships at this stage because of cross-sectional nature of our study.

  Acknowledgments Top

The authors are thankful to all subjects. Suman Dua is greatfull to the University Grants Commission (UGC) for providing financial assistance through PDF(W).

  References Top

1.Freedman DS, Perry G. Body composition and health status among children and adolescents. Prev Med 2000;31:34-53.  Back to cited text no. 1
2.Sorof J, Daniels S. Obesity and Hypertension in children: A problem of epidemic proportions. Hypertension 2002;40:441-7.  Back to cited text no. 2
3.Yusuf S, Hawken S, Ounpuu S, Bautista L, Franzosi MG, Commerford P, et al. INTERHEART. Study Investigators. Obesity and risk of myocardial infarction in 27,000 participants from 52 different countries: A case control study. Lancet 2005;366:1640-9.  Back to cited text no. 3
4.Srikanth J, Jayant Kumar K, Narasimha NS. Factors influencing obesity among urban high school children Bangalore City. Indian J Nutr Dietet 2011;48:8-17.  Back to cited text no. 4
5.Nutrition Foundation of India. Obesity in urban middle class in Delhi, 1999. Scientific Report 15.  Back to cited text no. 5
6.Weiner JS, Lourie JA. Practical human Biology Anthropometry. New York: Academic Press 1981;27-54.  Back to cited text no. 6
7.WHO expert consultation. Appropriate body mass index for Asian population and its implication for policy and intervention strategies. Lancet 2004;363:157-63.  Back to cited text no. 7
8.JNC 7. The seventh report of the joint national committee on prevention, detection, evaluation and treatment of high blood pressure. JAMA 2003;289:2560-71.   Back to cited text no. 8
9.Gardner AW, Poehlman ET. Predictors of age related increase in blood pressure in men and women. J Gerontol A Biol Sci Med Sci 1995;50A:M1-6.  Back to cited text no. 9
10.Kusuma YS, Babu BV, Naidu JM. Blood pressure levels among cross cultural/populations of Visakhapatnam district, Andhra Pradesh, India. Ann Hum Biol 2002;29:502-12.  Back to cited text no. 10
11.Jervase E, Barnabas D, Emeka AG, Osondu N. Sex differences and Relationship between blood pressure and age among the Igbos of Nigeria. Internet J Biol Anthropol 2009:3-2.  Back to cited text no. 11
12.Gupta R, Mehrishi S. Waist-hip ratio and blood pressure correlation in an urban Indian population. J Indian Med Assoc 1997;95:412-5.   Back to cited text no. 12
13.Diet nutrition and the prevention of Chronic diseases. Report of WHO study group. Word Health Organisation; 1990 (WHO Technical).  Back to cited text no. 13
14.Doll S, Paccaud F, Bovet P, Burnier M, Wietlisbach V. Body mass index, abdominal adiposity and blood pressure: Consistency of their association across developing and developed countries. Int J Obes Relat Metab Disord 2002;26:48-57.   Back to cited text no. 14
15.Bose K, Ghosh A, Roy S, Gangopadhyay S. Blood pressure and waist circumference: An empirical study of the effects of waist circumference on blood pressure among Bengalee male jute workers of Belur, West Bengal, India. J Physiol Anthropol Appl Hum Sci 2003;22:169-73.   Back to cited text no. 15
16.Shanthirani CS, Pradeepa R, Deepa R, Premalatha G, Saroja R, Mohan V. Prevalence and risk factors of hypertension in selected South Indian population - The Chennai Urban Population Study. J Assoc Physician India 2003;51:20-7.   Back to cited text no. 16
17.Wang H, Cao J, Li J, Chen J, Wu X, Duan X, et al. Blood pressure, body mass index and risk of cardiovascular disease in Chinese men and women. BMC Public Health 2010;10:189.   Back to cited text no. 17
18.Ferguson TS, Younger NO, Tulloch-Reid MK, Wright MB, Ward EM, Ashley DE, et al. Prevalence of prehypertension and its relationship to risk factors for cardiovascular disease in Jamaica: Analysis from a cross- sectional survey. BMC Cardiovasc Disord 2008;8:20.  Back to cited text no. 18
19.Mendelsohn ME, Karas RH. The protective effects of estrogen on the cardiovascular system. N Engl J Med 1999;340:1801-11.  Back to cited text no. 19
20.Bulpitt CJ, Hodes C, Everitt MG. The relationship between blood pressure and biochemical risk factors in a general population. Br J Prev Soc Med 1976;30:158-62.   Back to cited text no. 20
21.Tyagi R. Body composition and nutritional status of the institutionalised and non-institutionalised senior citizens. EAA Summer School eBook 2007;1:225-2319.  Back to cited text no. 21
22.Gupta S, Kapoor S. Sex differences in blood pressure levels and its association with obesity indices: Who is at greater risk. Ethn Dis 2010;20:370-4.   Back to cited text no. 22
23.Stamler J, Stamler R, Reidlinger WF, Algera G, Roberts RH. Hypertension screening of 1 million Americans. Community Hypertension Evaluation Clinic (CHEC) Program. JAMA 1976;235:2299-306.   Back to cited text no. 23
24.Rebuffle-Strive M, Bjorntopp P. Regional adipose tissue metabolism in man. In: Vague J, Bjorntorp P, Grey-Grand B, editors. Metabolic complications of human obesities. Amsterdam: Excerpta Medica; 1985. p. 149-59.  Back to cited text no. 24
25.James WP, Ferro-Luzzi A, Waterlow JC. Definition of chronic energy deficiency in adults. Eur J Clin Nutr 1988;42:969-81.  Back to cited text no. 25
26.Fe rro-Luzzi A, Sette S, Franklin M, James WP. A simplified approach of assessing adult energy deficiency. Eur J Clin Nutr 1992;46:173-86.  Back to cited text no. 26
27.Shetty PS, James WP. Body Mass Index: A measure of chronic energy deficiency in adults. Food and Nutrition paper 56. Rome: Food and Agriculture Organisation; 1994.   Back to cited text no. 27
28.Kapoor S, Dhall M, Kapoor AK. Nutritional status and ageing among populations. Inhabiting varied geological regions in India. Biennial Book of EAA 2010;6:85-100.  Back to cited text no. 28
29.Cassani Roerta SL, Nobre F, Pazin-Fiho A, Schmidt A. Relationship between blood pressure and anthropometry in a cohort of Brazilian men: A cross-sectional study. Am J Hypertens 2009;22:980-4.  Back to cited text no. 29
30.Dua (nee Verma) Suman. Anthropological study of Blood Pressure among Punjabi Khatris. Ph.D. thesis. (Unpublished). 1992, University of Delhi, Delhi.   Back to cited text no. 30
31.Dua S , Kapoor S. Blood pressure, waist to hip ratio and body mass index among affluent Punjabi girls of Delhi. Acta Med Auxol 2000;32:153-7.   Back to cited text no. 31
32.Okosun IS, Prewitt TE, Cooper RS. Abdominal obesity in the United States: Prevalence and attributable risk of hypertension. J Hum Hypertens 1999;13:425-30.   Back to cited text no. 32
33.Weder AB. Membrane sodium transport. In: Izzo JL, Black HR, editors Hypertension Primer. Dallas, TX: American Heart Association; 1993. p. 36-7.   Back to cited text no. 33
34.Poulter NR, Khaw KT, Hopwood BE, Mugambi M, Peart WS, Rose G, et al. The Kenyan Luo migration study: Observations on the initiation of a rise in blood pressure. BMJ 1990;300:967-72.   Back to cited text no. 34
35.Greenlund KJ, Croft JB, Mensah GA. Prevalence of heart disease and stroke risk factors among adults in United States, 1991-1999. Arch Intern Med 2004;164:181-8.   Back to cited text no. 35
36.Rohrer JE, Anderson GJ, Furst JW. Obesity and prehypertension in family medicine: Implications for quality improvement. BMC Health Serv Res 2007;7:212.  Back to cited text no. 36
37.Kannel WB. Risk stratification in hypertension: New insight from the Framingham study. Am J Hypertens 2000;13:3S-10.   Back to cited text no. 37
38.Mungreiphy NK, Kapoor S, Sinha R. Association between BMI, Blood Pressure and Age: Study among Tangkhul Naga Tribal Males of North east India. J Anthropol 2011., Article ID 748147, 6 pages, 2011. doi:10.1155/2011/748147.  Back to cited text no. 38
39.Hazarika NC, Narain K, Biswas D, Kalita HC, Mahanta J. Hypertension in the native rural population of Assam. Natl Med J India 2004;17:300-4.  Back to cited text no. 39
40.Wolf-Maier K, Cooper RS, Banegas JR, Giampaoli S, Hense HW, Joffres M, et al. Hypertension prevalence and blood pressure levels in 6 European countries, Canada, and the United States. JAMA 2003;289:2363-9.  Back to cited text no. 40


  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8], [Table 9]

This article has been cited by
1 Insomnia with Objective Short Sleep Duration in Women with Temporomandibular Joint Disorder: Quantitative Sensory Testing, Inflammation and Clinical Pain Profiles
Sheera F. Lerman, Chung Jung Mun, Carly A. Hunt, Shriya Kunatharaju, Luis F. Buenaver, Patrick H. Finan, Claudia M. Campbell, Jane Phillips, Julio Fernandez-Mendoza, Jennifer A. Haythornthwaite, Michael T. Smith
Sleep Medicine. 2022;
[Pubmed] | [DOI]
2 Association between sleep duration on workdays and blood pressure in non-overweight/obese population in NHANES: a public database research
Yingjie Su, Changluo Li, Yong Long, Liudang He, Ning Ding
Scientific Reports. 2022; 12(1)
[Pubmed] | [DOI]
3 Ultra-high Dimensional Quantile Regression for Longitudinal Data: an Application to Blood Pressure Analysis
Tianhai Zu, Heng Lian, Brittany Green, Yan Yu
Journal of the American Statistical Association. 2022; : 1
[Pubmed] | [DOI]
4 Propensity score-based adjustment for covariate effects on classification accuracy of bio-marker using ROC curve
Muntaha Mushfiquee, M. Shafiqur Rahman
Biostatistics & Epidemiology. 2022; : 1
[Pubmed] | [DOI]
5 Waist circumference was associated with 2-year blood pressure change in community dwelling adults independently of BMI
William R. Tebar, Raphael M. Ritti-Dias, Kelly Samara da Silva, Gregore Iven Mielke, Daniel S. Canhin, Catarina C. Scarabottolo, Jorge Mota, Diego G.D. Christofaro
Blood Pressure Monitoring. 2022; 27(1): 1
[Pubmed] | [DOI]
6 Uncontrolled blood pressure among hypertensive adults with rheumatoid arthritis in Saudi Arabia
Ziyad S. Almalki, Bedor Abdullah AlOmari, Tahani Alshammari, Areej Alshlowi, Mohd Faiyaz Khan, Ali Hazazi, Maha Alruwaily, Sarah Alsubaie, Faten Alanazi, Norah Aldossary, Raseel Albahkali
Medicine. 2022; 101(4): e28763
[Pubmed] | [DOI]
7 A Copula Type-Model for Examining the Role of Microbiome as a Potential Tool in Diagnosis
Enrique Calderín–Ojeda, Guillermo López–Campos, Emilio Gómez–Déniz, Xiaofeng Li
Mathematical Problems in Engineering. 2022; 2022: 1
[Pubmed] | [DOI]
8 Adiposity Measures and Its Association with Blood Pressure Level Among a Group of School Going Sunni Muslims of Lucknow, Uttar Pradesh, India
Arya Chakraborty, Gopal Chandra Mandal
The Oriental Anthropologist: A Bi-annual International Journal of the Science of Man. 2022; : 0972558X22
[Pubmed] | [DOI]
9 The impact of sex on blood pressure and anthropometry trajectories from early adulthood in a Nigerian population: insights into women’s cardiovascular disease risk across the lifespan
Oluseyi Adegoke, Oluwadamilola O. Ojo, Obianuju B. Ozoh, Ayesha O. Akinkugbe, Ifedayo A. Odeniyi, Babawale T. Bello, Osigwe P. Agabi, Njideka U. Okubadejo
BMC Women's Health. 2022; 22(1)
[Pubmed] | [DOI]
10 Determinants of self-reported hypertension among women in South Africa: evidence from the population-based survey
Peter Austin Morton Ntenda, Walaa Mamdouh Reyad El-Meidany, Fentanesh Nibret Tiruneh, Mfundi President Sebenele Motsa, Joyce Nyirongo, Gowokani Chijere Chirwa, Arnold Kapachika, Owen Nkoka
Clinical Hypertension. 2022; 28(1)
[Pubmed] | [DOI]
11 Experience in using the results of periodic medical examinations to assess the risk of developing diseases of the circulatory system
V.G. Gazimova, A.S. Shastin, S.E. Dubenko, N.A. Kurbanova, T.V. Mazhaeva, T.M. Tsepilova, V.O. Ruzakov
Profilakticheskaya meditsina. 2022; 25(5): 61
[Pubmed] | [DOI]
12 Pengukuran Status Gizi dan Pengobatan Penyakit Metabolik Warga Kelurahan Angke, Jakarta Barat
Yohana Yohana, Meiyanti Meiyanti, Erlani Kartadinata, Eveline Margo
Jurnal ABDINUS : Jurnal Pengabdian Nusantara. 2022; 6(2): 305
[Pubmed] | [DOI]
13 Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries
Sheikh Mohammed Shariful Islam, Ashis Talukder, Md. Abdul Awal, Md. Muhammad Umer Siddiqui, Md. Martuza Ahamad, Benojir Ahammed, Lal B. Rawal, Roohallah Alizadehsani, Jemal Abawajy, Liliana Laranjo, Clara K. Chow, Ralph Maddison
Frontiers in Cardiovascular Medicine. 2022; 9
[Pubmed] | [DOI]
14 The Role of NRF2 in Obesity-Associated Cardiovascular Risk Factors
Jorge Gutiérrez-Cuevas, Marina Galicia-Moreno, Hugo Christian Monroy-Ramírez, Ana Sandoval-Rodriguez, Jesús García-Bañuelos, Arturo Santos, Juan Armendariz-Borunda
Antioxidants. 2022; 11(2): 235
[Pubmed] | [DOI]
15 Mixed Effect of Alcohol, Smoking, and Smokeless Tobacco Use on Hypertension among Adult Population in India: A Nationally Representative Cross-Sectional Study
Prashant Kumar Singh, Ritam Dubey, Lucky Singh, Nishikant Singh, Chandan Kumar, Shekhar Kashyap, Sankaran Venkata Subramanian, Shalini Singh
International Journal of Environmental Research and Public Health. 2022; 19(6): 3239
[Pubmed] | [DOI]
16 Hypertension and Different Levels of Body Mass Index and Cardiorespiratory Fitness Amongst Adolescents
Cleiton Bertollo,Claúdia Daniela Barbian,Letícia de Borba Schneiders,João Francisco de Castro Silveira,Bruna Dahmer Vogt,Elza Daniel de Mello,Leandro Tibiriçá Burgos,James Philip Hobkirk,Cézane Priscila Reuter
International Journal of Cardiovascular Sciences. 2021;
[Pubmed] | [DOI]
17 Prediction of Hypertension Based on Facial Complexion
Lin Ang,Bum Ju Lee,Honggie Kim,Mi Hong Yim
Diagnostics. 2021; 11(3): 540
[Pubmed] | [DOI]
18 A Community-Based Study on Waist-to-Height Ratio: An Indicator for Systolic Hypertension in a Rural Community of Hilly Region
Santosh Kumar,Ravi Kant,Poonam Yadav,Kavitha Natarajan,Yogesh Bahurupi,Ashutosh Mishra
Cureus. 2021;
[Pubmed] | [DOI]
19 Prevalence of prehypertension and its risk factors in midlife and late life: Indonesian family life survey 2014–2015
Aida Lydia,Siti Setiati,Czeresna Heriawan Soejono,Rahmi Istanti,Jessica Marsigit,Muhammad Khifzhon Azwar
BMC Public Health. 2021; 21(1)
[Pubmed] | [DOI]
20 Countering adipose tissue dysfunction could underlie the superiority of telmisartan in the treatment of obesity-related hypertension
Yahya M. Naguib,Rehab M. Samaka,Mohamed S. Rizk,Omnia Ameen,Shaimaa M. Motawea
Cardiovascular Diabetology. 2021; 20(1)
[Pubmed] | [DOI]
21 The change in estimate method for selecting confounders: A simulation study
Denis Talbot,Awa Diop,Mathilde Lavigne-Robichaud,Chantal Brisson
Statistical Methods in Medical Research. 2021; 30(9): 2032
[Pubmed] | [DOI]
22 Cold Pressor Test Influences the Cardio-Ankle Vascular Index in Healthy Overweight Young Adults
Supaporn Kulthinee, Nitirut Nernpermpisooth, Montatip Poomvanicha, Jidapa Satiphop, Thizanamadee Chuang-ngu, Napaporn Kaleeluan, Kittisak Thawnashom, Anuchit Manin, Rosarin Kongchan, Kingkarn Yinmaroeng, Peerapong Kitipawong, Phatiwat Chotimol
Pulse. 2021; 9(1-2): 30
[Pubmed] | [DOI]
23 Association of blood pressure and BMI to corrected QT interval in young adults
Ramkumar Jayanthi,Sundaralingam Paramasivam Girijasivam,Archana Gaur
Canadian Journal of Physiology and Pharmacology. 2021; : 1
[Pubmed] | [DOI]
24 Inter-individual body mass variations relate to fractionated functional brain hierarchies
Bo-yong Park,Hyunjin Park,Filip Morys,Mansu Kim,Kyoungseob Byeon,Hyebin Lee,Se-Hong Kim,Sofie L. Valk,Alain Dagher,Boris C. Bernhardt
Communications Biology. 2021; 4(1)
[Pubmed] | [DOI]
25 Factors associated with prognostic or treatment outcomes in HIV/AIDS patients with and without hypertension in Eswatini
Sabelo Bonginkosi Dlamini,Hans-Uwe Dahms,Ming-Tsang Wu
Scientific Reports. 2021; 11(1)
[Pubmed] | [DOI]
26 Age variation in blood pressure: Rural–urban and sex differences among the Hmar adults of Manipur, Northeast India
Abigail Lalnuneng
American Journal of Human Biology. 2021;
[Pubmed] | [DOI]
27 Adiposity Measures and Morning Serum Cortisol in African Americans: Jackson Heart Study
Bjorn Kluwe,Songzhu Zhao,David Kline,Robin Ortiz,Guy Brock,Justin B. Echouffo-Tcheugui,Mario Sims,Rita R. Kalyani,Sherita H. Golden,Joshua J. Joseph
Obesity. 2021; 29(2): 418
[Pubmed] | [DOI]
28 Effects of flaxseed on blood pressure, body mass index, and total cholesterol in hypertensive patients: A randomized clinical trial
Tahereh Toulabi,Masomeh Yarahmadi,Fatemeh Goudarzi,Farzad Ebrahimzadeh,Amir Momenizadeh,Sajad Yarahmadi
EXPLORE. 2021;
[Pubmed] | [DOI]
29 The roles of epicardial adipose tissue in heart failure
Ying Song,Fei Song,Chan Wu,Yi-Xiang Hong,Gang Li
Heart Failure Reviews. 2020;
[Pubmed] | [DOI]
30 Determining Significant Risk Factors for Preventing Elderly People with Hypertension from Cardiovascular Disease Complication Using Maximum Objective Distance
Supansa Chaising,Punnarumol Temdee
Wireless Personal Communications. 2020;
[Pubmed] | [DOI]
31 Associations between body mass index, waist circumference, waist circumference to-height ratio, and hypertension in an Algerian adult population
Salima Taleb,Kafila Boulaba,Ahlem Yousfi,Nada Taleb,Basma Difallah,Samira Negrichi
Environmental Science and Pollution Research. 2020;
[Pubmed] | [DOI]
32 Prevalence, risk factors, and management of uncontrolled hypertension among patients with diabetes: A hospital-based cross-sectional study
Ziyad S. Almalki,Ahmad A. Albassam,Noura Saleh Alhejji,Badriah Shujaa Alotaibi,Lama Abdullah Al-Oqayli,Nehad Jaser Ahmed
Primary Care Diabetes. 2020;
[Pubmed] | [DOI]
33 Elevated cerebrospinal fluid sodium in hypertensive human subjects with a family history of Alzheimer’s disease
Lucas A. C. Souza,Fatima Trebak,Veena Kumar,Ryousuke Satou,Patrick G. Kehoe,Wei Yang,Whitney Wharton,Yumei Feng Earley
Physiological Genomics. 2020; 52(3): 133
[Pubmed] | [DOI]
34 Factors Influencing Cardiovascular Risk Factors and Health Perception Among Kentuckians Living in Appalachia
Cilgy M. Abraham,Sarah Kelly,Dean Wantland,Misook L. Chung,Gia Mudd-Martin,Martha J. Biddle,Debra K. Moser
The Journal of Cardiovascular Nursing. 2020; 35(3): E1
[Pubmed] | [DOI]
35 Machine learning in coronary heart disease prediction: Structural equation modelling approach
Lewlyn L. R. Rodrigues,Dasharathraj K Shetty,Nithesh Naik,Chethana Balakrishna Maddodi,Anuradha Rao,Ajith Kumar Shetty,Rama Bhat,Zeeshan Hameed,Zhongmin Jin
Cogent Engineering. 2020; 7(1)
[Pubmed] | [DOI]
36 Correlation between body mass index and blood pressure in seafarers
Getu Gamo Sagaro,Marzio Di Canio,Francesco Amenta
Clinical and Experimental Hypertension. 2020; : 1
[Pubmed] | [DOI]
37 Association Between Blood Lead Level and Uncontrolled Hypertension in the US Population (NHANES 1999–2016)
Hui Miao,Yan Liu,Thomas C. Tsai,Joel Schwartz,John S. Ji
Journal of the American Heart Association. 2020; 9(13)
[Pubmed] | [DOI]
38 The relationship between nocturnal blood pressure drop and body composition indices among hypertensive patients
Selcuk Candan,Ozlem Ozdemir Candan,Turgut Karabag
The Journal of Clinical Hypertension. 2020;
[Pubmed] | [DOI]
39 Multilevel Analysis of 24-Hour Blood Pressure, Heart Rate, and Associated Factors among Police Officers in Hanoi, Vietnam
Dao Thi Minh An,Luu Ngoc Hoat,Dinh Thai Son,Do Thanh Toan,Luu Ngoc Minh,Phan Van Mai,Hoang Van Minh
BioMed Research International. 2020; 2020: 1
[Pubmed] | [DOI]
40 Inequalities and risk factors analysis in prevalence and management of hypertension in India and Nepal: a national and subnational study
Santosh Kumar Rauniyar,Md. Mizanur Rahman,Md. Shafiur Rahman,Sarah Krull Abe,Shuhei Nomura,Kenji Shibuya
BMC Public Health. 2020; 20(1)
[Pubmed] | [DOI]
41 Heat stress, a hidden cause of accidents in construction
Tariq Umar,Charles Egbu
Proceedings of the Institution of Civil Engineers - Municipal Engineer. 2020; 173(1): 49
[Pubmed] | [DOI]
42 An assessment of health profile and body pain among construction workers
Tariq Umar,Charles Egbu,Mohamed Shaik Honnurvali,Messaoud Saidani,Matira Al-Mutairi
Proceedings of the Institution of Civil Engineers - Municipal Engineer. 2020; 173(3): 125
[Pubmed] | [DOI]
43 Prevalence of hypertension and associated factors among adult residents in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia
Adefris Chuka,Befikadu Tariku Gutema,Gistane Ayele,Nega Degefa Megersa,Zeleke Aschalew Melketsedik,Tadiwos Hailu Zewdie,Samuel H. Nyarko
PLOS ONE. 2020; 15(8): e0237333
[Pubmed] | [DOI]
44 Detection of undiagnosed and inadequately treated high blood pressure in dentistry by screening
Satish Kumar,Hari Ram,Isha Atam,Virendra Atam,SatyendraKumar Sonkar,MunnaLal Patel,Ajay Kumar
National Journal of Maxillofacial Surgery. 2020; 11(2): 248
[Pubmed] | [DOI]
45 Association of hypertension with generalized obesity in rural south-western Nigeria
Taiwo RAIMI,Olatunde ODUSAN
Journal of Surgery and Medicine. 2020;
[Pubmed] | [DOI]
46 Prevalence and Risk Factors of Elevated Blood Pressure and Elevated Blood Glucose among Residents of Kajiado County, Kenya: A Population-Based Cross-Sectional Survey
Anita Nyaboke Ongosi,Calistus Wilunda,Patou Masika Musumari,Teeranee Techasrivichien,Chia-Wen Wang,Masako Ono-Kihara,Charlotte Serrem,Masahiro Kihara,Takeo Nakayama
International Journal of Environmental Research and Public Health. 2020; 17(19): 6957
[Pubmed] | [DOI]
47 Screening Services in a Community Pharmacy in Poznan (Poland) to Increase Early Detection of Hypertension
Magdalena Waszyk-Nowaczyk,Weronika Guzenda,Beata Plewka,Michal Michalak,Magdalena Cerbin-Koczorowska,Lukasz Stryczynski,Michal Byliniak,Anna Ratka
Journal of Clinical Medicine. 2020; 9(8): 2572
[Pubmed] | [DOI]
48 Cardiovascular and metabolic risk factors of shift workers within the automotive industry
Andre L. Travill,Farzaanah Soeker,Dillon Overmeyer,Frederic Rickers
Health SA Gesondheid. 2019; 24
[Pubmed] | [DOI]
49 Effect of Obesity and Other Risk Factors on Hypertension among Women of Reproductive Age in Ghana: An Instrumental Variable Probit Model
Abayomi Samuel Oyekale
International Journal of Environmental Research and Public Health. 2019; 16(23): 4699
[Pubmed] | [DOI]
Gayatri Birwadkar,Amandeep Kaur Ratta
Journal of Evolution of Medical and Dental Sciences. 2019; 8(29): 2367
[Pubmed] | [DOI]
51 Metabolic evaluation of Honduran employees of two institutions using a SECA 514 bioelectric impedance device
Adriana Di lorio, Adriana Hernandez, Raul Espinal
Advances in Obesity, Weight Management & Control. 2019; 9(3): 79
[Pubmed] | [DOI]
52 A Social Determinant of Health May Modify Genetic Associations for Blood Pressure: Evidence From a SNP by Education Interaction in an African American Population
Brittany M. Hollister,Eric Farber-Eger,Melinda C. Aldrich,Dana C. Crawford
Frontiers in Genetics. 2019; 10
[Pubmed] | [DOI]
53 Vitamin D level predicts all-cause dementia
H. Karl Greenblatt,Caleb Adler,Muhammad Aslam,Jeffrey Welge,Robert Krikorian
Nutrition and Healthy Aging. 2019; : 1
[Pubmed] | [DOI]
54 Prevalence and associated factors of uncontrolled hypertension among hypertensive patients: a nation-wide survey in Thailand
Boonsub Sakboonyarat,Ram Rangsin,Anupong Kantiwong,Mathirut Mungthin
BMC Research Notes. 2019; 12(1)
[Pubmed] | [DOI]
55 Accurate GFR in obesity—protocol for a systematic review
Sriram Sriperumbuduri,Robert Dent,Janine Malcolm,Swapnil Hiremath,Ran Klein,Christine A. White,Pierre Antoine Brown,Ayub Akbari
Systematic Reviews. 2019; 8(1)
[Pubmed] | [DOI]
56 Inulin Supplementation Reduces Systolic Blood Pressure in Women with Breast Cancer Undergoing Neoadjuvant Chemotherapy
Yizel Becerril-Alarcón,Saúl Campos-Gómez,Juan J. Valdez-Andrade,Karen A. Campos-Gómez,Diana Y. Reyes-Barretero,Alejandra D. Benítez-Arciniega,Roxana Valdés-Ramos,Alexandra E. Soto-Piña
Cardiovascular Therapeutics. 2019; 2019: 1
[Pubmed] | [DOI]
57 Relationship Between Dynamic Changes in Body Weight and Blood Pressure: The ESTEBAN Survey
Alexandre Vallée,Anne-Laure Perrine,Valérie Deschamps,Jacques Blacher,Valérie Olié
American Journal of Hypertension. 2019;
[Pubmed] | [DOI]
58 Risk factors for diabetes mellitus and hypertension among artisans in Ogun state, Nigeria
Cathrine A. Oladoyinbo,Adenike Mercy Abiodun,Mariam Oluwatoyin Oyalowo,Irene Obaji,Abisola Margaret Oyelere,Olufunke Opeyemi Akinbule,Abimbola Abosede Sobo
Nutrition & Food Science. 2019; 50(4): 695
[Pubmed] | [DOI]
59 Association between salivary amylase enzyme activity and obesity in Saudi Arabia
Norah Mubarak Aldossari,Eman E. El Gabry,Gihan E.H. Gawish
Medicine. 2019; 98(23): e15878
[Pubmed] | [DOI]
60 Associations of the ages at menarche and menopause with blood pressure and hypertension among middle-aged and older Chinese women: a cross-sectional analysis of the baseline data of the China Health and Retirement Longitudinal Study
Luqi Shen,Li Wang,Ying Hu,Tingting Liu,Jinzhen Guo,Ye Shen,Ruiyuan Zhang,Toni Miles,Changwei Li
Hypertension Research. 2019;
[Pubmed] | [DOI]
61 Time-restricted feeding improves markers of Cardiometabolic health in physically active college-age men: A 4-week randomized pre-post pilot study
Matthew J. McAllister,Brandon L. Pigg,Liliana I Renteria,Hunter S. Waldman
Nutrition Research. 2019;
[Pubmed] | [DOI]
62 Incidence of obesity, adiposity and physical activity pattern as risk factor in adults of Delhi, India
Kshetrimayum Surmala Devi,Kshetrimayum Surmala Nilupher,Urvashi Gupta,Meenal Dhall,Satwanti Kapoor
Clinical Epidemiology and Global Health. 2019;
[Pubmed] | [DOI]
63 Leveraging linkage evidence to identify low-frequency and rare variants on 16p13 associated with blood pressure using TOPMed whole genome sequencing data
Karen Y. He,Xiaoyin Li,Tanika N. Kelly,Jingjing Liang,Brian E. Cade,Themistocles L. Assimes,Lewis C. Becker,Amber L. Beitelshees,Adam P. Bress,Yen-Pei Christy Chang,Yii-Der Ida Chen,Paul S. de Vries,Ervin R. Fox,Nora Franceschini,Anna Furniss,Yan Gao,Xiuqing Guo,Jeffrey Haessler,Shih-Jen Hwang,Marguerite Ryan Irvin,Rita R. Kalyani,Ching-Ti Liu,Chunyu Liu,Lisa Warsinger Martin,May E. Montasser,Paul M. Muntner,Stanford Mwasongwe,Walter Palmas,Alex P. Reiner,Daichi Shimbo,Jennifer A. Smith,Beverly M. Snively,Lisa R. Yanek,Eric Boerwinkle,Adolfo Correa,L. Adrienne Cupples,Jiang He,Sharon L. R. Kardia,Charles Kooperberg,Rasika A. Mathias,Braxton D. Mitchell,Bruce M. Psaty,Ramachandran S. Vasan,D. C. Rao,Stephen S. Rich,Jerome I. Rotter,James G. Wilson,Aravinda Chakravarti,Alanna C. Morrison,Daniel Levy,Donna K. Arnett,Susan Redline,Xiaofeng Zhu
Human Genetics. 2019;
[Pubmed] | [DOI]
64 Loneliness and cardiovascular reactivity to acute stress in younger adults
Eoin Gavin Brown,Ann-Marie Creaven,Stephen Gallagher
International Journal of Psychophysiology. 2018;
[Pubmed] | [DOI]
65 Hypertension and its correlate with general and central adiposity: A study among urban population of Delhi
Meenal Dhall,Kshetrimayum Surmala Devi,Kshetrimayum Surmala Nilupher,Urvashi Gupta,Renu Tyagi,Satwanti Kapoor
Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2018;
[Pubmed] | [DOI]
66 Joint sufficient dimension reduction for estimating continuous treatment effect functions
Ming-Yueh Huang,Kwun Chuen Gary Chan
Journal of Multivariate Analysis. 2018; 168: 48
[Pubmed] | [DOI]
67 Quantile regression analysis of modifiable and non-modifiable drivers’ of blood pressure among urban and rural women in Ghana
Dickson A. Amugsi,Zacharie T. Dimbuene,Gershim Asiki,Catherine Kyobutungi
Scientific Reports. 2018; 8(1)
[Pubmed] | [DOI]
68 Association between CD4 Cell Count and Blood Pressure and Its Variation with Body Mass Index Categories in HIV-Infected Patients
Christian Akem Dimala,Benjamin Momo Kadia,Ben-Lawrence Kemah,Maxime Tindong,Simeon-Pierre Choukem
International Journal of Hypertension. 2018; 2018: 1
[Pubmed] | [DOI]
69 Gender differences in factors associated with prehypertension and hypertension in Nepal: A nationwide survey
Kingsley Emwinyore Agho,Uchechukwu L. Osuagwu,Osita K. Ezeh,Pramesh Raj Ghimire,Stanley Chitekwe,Felix Akpojene Ogbo,Olalekan Uthman
PLOS ONE. 2018; 13(9): e0203278
[Pubmed] | [DOI]
70 Association of Age-Related Trends in Blood Pressure and Body Composition Indices in Healthy Adults
Wei Li,Yan He,Lili Xia,Xinghua Yang,Feng Liu,Jingang Ma,Zhiping Hu,Yajun Li,Dongxue Li,Jiajia Jiang,Guangliang Shan,Changlong Li
Frontiers in Physiology. 2018; 9
[Pubmed] | [DOI]
71 Association between perceived racial discrimination and hypertension: findings from the ELSA-Brasil study
Patrícia Miranda Mendes,Aline Araújo Nobre,Rosane Härter Griep,Joanna Miguez Nery Guimarães,Leidjaira Lopes Juvanhol,Sandhi Maria Barreto,Alexandre Pereira,Dóra Chor
Cadernos de Saúde Pública. 2018; 34(2)
[Pubmed] | [DOI]
72 Anthropometric changes and their effects on cardiometabolic risk factors in rural populations in Brazil
Tatiane Géa-Horta,Mark Anthony Beinner,Andrea Gazzinelli,Mariana Santos Felisbino Mendes,Gustavo Velasquez-Melendez
Ciência & Saúde Coletiva. 2018; 23(5): 1415
[Pubmed] | [DOI]
73 Association of modified Nordic diet with cardiovascular risk factors among type 2 diabetes patients: a cross-sectional study
Elnaz Daneshzad,Shaghayegh Emami,Manije Darooghegi Mofrad,Sahar Saraf-Bank,Pamela J. Surkan,Leila Azadbakht
Journal of Cardiovascular and Thoracic Research. 2018; 10(3): 153
[Pubmed] | [DOI]
74 Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses
Mahashweta Basu,Mahfuza Sharmin,Avinash Das,Nishanth Ulhas Nair,Kun Wang,Joo Sang Lee,Yen-Pei Christy Chang,Eytan Ruppin,Sridhar Hannenhalli
Genetics. 2017; 207(3): 1121
[Pubmed] | [DOI]
Deepa Manuel
Journal of Evolution of Medical and Dental Sciences. 2017; 6(83): 5789
[Pubmed] | [DOI]
76 Systolic Blood Pressure and Risk of Type 2 Diabetes: A Mendelian Randomization Study
Rachael C. Aikens,Wei Zhao,Danish Saleheen,Muredach P. Reilly,Stephen E. Epstein,Emmi Tikkanen,Veikko Salomaa,Benjamin F. Voight
Diabetes. 2017; 66(2): 543
[Pubmed] | [DOI]
77 Maternal undernutrition and excessive body weight and risk of birth and health outcomes
Md Nuruzzaman Khan,Md Mizanur Rahman,Asma Ahmad Shariff,Md Mostafizur Rahman,Md Shafiur Rahman,Md Aminur Rahman
Archives of Public Health. 2017; 75(1)
[Pubmed] | [DOI]
78 Bangladesh policy on prevention and control of non-communicable diseases: a policy analysis
Tuhin Biswas,Sonia Pervin,Md. Imtiaz Alam Tanim,Louis Niessen,Anwar Islam
BMC Public Health. 2017; 17(1)
[Pubmed] | [DOI]
79 Engagement in Pleasant Leisure Activities and Blood Pressure
Brent T. Mausbach,Rosa Romero-Moreno,Taylor Bos,Roland von Känel,Michael G. Ziegler,Matthew A. Allison,Paul J. Mills,Joel E. Dimsdale,Sonia Ancoli-Israel,Andrés Losada,María Márquez-González,Thomas L. Patterson,Igor Grant
Psychosomatic Medicine. 2017; 79(7): 735
[Pubmed] | [DOI]
80 Prevalence and predictors of pre hypertension and hypertension among school going adolescents (14–19 years) of Tripura, India
Balaram Sutradhar,Dipayan Choudhuri
Indian Journal of Medical Specialities. 2017;
[Pubmed] | [DOI]
81 Performance feedback, self-esteem, and cardiovascular adaptation to recurring stressors
Eoin G. Brown,Ann-Marie Creaven
Anxiety, Stress, & Coping. 2016; : 1
[Pubmed] | [DOI]
82 The HDD Study (Hypertensive, Diabetes & Dyslipidemia) -Cardiovascular Risk Factor Epidemiology in Desk Job Workers - A Preliminary Study
Akilesh Anand Prakash
MOJ Public Health. 2016; 4(7)
[Pubmed] | [DOI]
83 Sex differences in correlates of obesity indices and blood pressure among Malay adults in Selangor, Malaysia
A Norfazilah,MS Julaina,MN Azmawati
South African Family Practice. 2015; 57(4): 277
[Pubmed] | [DOI]
84 Correlations of Physical Activity, Body Mass Index, Shift Duty, and Selected Eating Habits among Nurses in Riyadh, Saudi Arabia
Ali M. Almajwal
Ecology of Food and Nutrition. 2015; : 1
[Pubmed] | [DOI]


Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

  In this article
Materials and Me...
Article Tables

 Article Access Statistics
    PDF Downloaded1680    
    Comments [Add]    
    Cited by others 84    

Recommend this journal