Skip to main content
Download PDF

Association of blood glucose level and hypertension in Elderly Chinese Subjects: a community based study

BMC Endocrine Disorders volume 16, Article number: 40 (2016) Cite this article

Abstract

Background

There is a scarcity of epidemiological researches examining the relationship between blood pressure (BP) and glucose level among older adults. The objective of the current study was to investigate the association of high BP and glucose level in elderly Chinese.

Methods

A cross-sectional study of a population of 2092 Chinese individuals aged over 65 years was conducted. Multiple logistic analysis was used to explore the association between hypertension and hyperglycemia. Independent risk factors for systolic and diastolic BP were analyzed using stepwise linear regression.

Results

Subjects in impaired fasting glucose group (IFG) (n = 144) and diabetes (n = 346), as compared with normal fasting glucose (NFG) (n = 1277), had a significant higher risk for hypertension, with odds ratios (ORs) of 1.81 (95 % CI, 1.39–2.35) (P = 0.000) and 1.40 (95 % CI, 1.09–1.80) (P = 0.009), respectively. Higher fasting plasma glucose (FPG) levels in the normal range were still significantly associated with a higher prevalence of hypertension in both genders, with ORs of 1.24 (95 % CI, 0.85–1.80), R2 = 0.114, P = 0.023 in men and 1.61 (95 % CI, 1.12–2.30), R2 = 0.082, P = 0.010 in women, respectively, when compared with lower FPG. Linear regression analysis revealed FPG was an independent factor of systolic and diastolic BP.

Conclusions

Our findings suggest that hyperglycemia as well as higher FPG within the normal range is associated with a higher prevalence of hypertension independent of other cardiovascular risk factors in elderly Chinese. Further studies are needed to explore the relationship between hyperglycemia and hypertension in a longitudinal setting.

Peer Review reports

Background

Metabolic syndrome is defined as the occurrence of 3 of any of the 5 following factors: abdominal obesity, elevated triglyceride (TG), low high-density lipoprotein cholesterol (HDL-c), elevated blood pressure (BP) and elevated fasting glucose level [1]. It is well known that metabolic syndrome increases the risk for morbidity and mortality from cardiovascular diseases [2, 3]. Actually, the coexistence of hypertension and diabetes alone confers 2–3 times the risk for cardiovascular morbidity and mortality as for people without diabetes [4, 5]. Epidemiological research established that hypertension is more common in subjects with diabetes mellitus (DM) than in the general population [6, 7]. On the other hand, higher BP is associated with increased risk of diabetes [8–12], even in individuals with normotension [7]. However, current studies evaluating the relationship of BP with blood glucose level were limited to age of younger [8–10], or from across the age spectrum [6, 7, 13], did not separate out the data of elderly subjects. Furthermore, referral-based samples in most were mainly with hyperglycemia and hypertension [6, 7, 11, 12]. Some studies relied on self-reported DM or BP [8–10].

Considering the influence of hypertension or hyperglycemia on vascular disease and mortality are age-specific [13], we therefore conducted a cross-sectional survey study in a well-characterized community-based sample of individuals in East China aged over 65 to assess whether higher fasting plasma glucose (FPG) is independently associated with a higher prevalence of hypertension, and conversely, whether higher BP is associated with a higher prevalence of hyperglycemia in elder people.

Methods

Population

A cross-sectional study was conducted in Shanghai Pudong New Area between January 2012 and March 2012. Residents who had lived here over 5 years were recruited. Among the 2777 individuals who were aged over 65 year, 2250 subjects participated in the current study.

Inclusion criteria were: (i) men or women aged over 65 year; (ii) with no severe chronic disease or systemic disease; (iii) willing and able to give informed consent; and (iv) with complete data on key research variables. Subjects with medical diseases such as cardiac disease (heart failure), chronic liver and kidney dysfunction (including serum alanine aminotransferase > 120 IU/l, and aspartate aminotransaminase >80 IU/l, and serum creatinine > 2.0 mg/dl), acute infection, severe systemic diseases (e.g., cancer) or Acquired Immune Deficiency Syndrome (AIDS) as well as patients who had secondary hypertension were excluded (n = 89). Those with incomplete data on key research variables were also excluded (n = 69). Subsequently, 2092 individuals (971 men and 1121 women) were included in the current analysis (Fig. 1).

Fig. 1
figure 1

Study design and participant flow diagram for the present study

Full size image

All participants were screened with regard to medical history (i.e., smoking, alcohol consumption, and medical treatments). Current smokers were defined as those who currently smoke every day or some days and who reported having smoked over 100 cigarettes during their lifetimes. Alcohol consumption was defined as having up to 20–30 g of ethanol per day for men and up to 10–20 g of ethanol per day for women. Details of this survey have been reported previously [14]. Written informed consent was obtained from all participants.

BP Measurements

BP was measured using a mercury sphygmomanometer by an experienced physician. Subjects were in a seated position with an arm flexed at the level of the heart. After the cuff was wrapped around the upper arm with the cuff’s lower edge one inch above the antecubital fossa, the cuff was rapidly inflated to 180 mmHg. Then air was released from the cuff at a rate of 3 mm/s. During this period, the physician listened carefully with a stethoscope while simultaneously observing the sphygmomanometer. The first knocking sound (Korotkoff) was the subject’s systolic pressure. When the knocking sound disappeared, that was the diastolic pressure. BP was measured in either the right upper or left upper arm after each subject had been seated for at least 10 min. The arm with the higher blood pressure would be measured twice. The average was used for analysis. If the difference of SBP or DBP between the twice was over 5 mmHg, it would be measured for the third time, and then the average of three times was used for analysis.

Hypertension was defined as systolic blood pressure (SBP) ≥140 mmHg and/or diastolic blood pressure (DBP) ≥90 mmHg or reported receiving antihypertensive medication. Participants who were diagnosed hypertensive for the first time during this survey were called new-onset hypertension; participants who had a history of hypertension were called previously-diagnosed hypertension. High-normal BP was defined as not having hypertension, and with SBP 120–139 mmHg or DBP 80–90 mmHg; normal BP included SBP < 120 mmHg and DBP < 80 mmHg and with no antihypertensive treatment [15].

DM Ascertainment

Participants were considered to have DM if fasting blood glucose ≥ 7.0 mmol/L or reported using insulin or oral hypoglycemic medication. Participants who were diagnosed DM for the first time during this survey were called new-onset DM, participants who had a history of DM were called previously-diagnosed DM. Normal fasting glucose (NFG) was defined as FPG < 6.1 mmol/L. Impaired fasting glucose (IFG) was defined as FPG ≥ 6.1 mmol/L but <7.0 mmol/L according to WHO criteria, 1999 [16].

Covariates

Height and weight of all subjects were measured in light clothes with no shoes. Waist circumference was measured at the level midway between the lower rib margin and the iliac crest. Body mass index (BMI) was calculated as weight (kg) divided by the square of height (m).

Blood samples were collected from venous blood after overnight fasting, and FPG, total cholesterol and triglyceride were measured. Glucose measurement was done in a central lab in Shanghai East Hospital. Plasma fasting glucose level was determined in NaF preserved plasma using the glucose oxidase method by automatic analyzer, Accurizer Autochem 400 (Affinitech, China).

Statistical analysis

Continuous data were summarized by the mean ± SD or median, and categorical data by number (percentages). All of the continuous data had skewed distribution even after logarithmically transformed. Mann–Whitney test (for data that was not normally distributed) and Chi-square test (for data that were categorical variables) were used to compare the differences between the Men and Women groups.

The participants were divided into 4 groups according to FPG levels: NFG (n = 1277), IFG (n = 144), New-onset DM (n = 325), and previously-diagnosed DM (n = 346). Binary logistic analysis was used to examine the association of hyperglycemia status with hypertension. Then NFG group was further divided into two subgroups according to the median FPG level by sex. Multiple logistic analyses were used to explore the associations between hypertension and hyperglycemia. Independent risk factors for systolic and diastolic pressure were analyzed using stepwise linear regression.

Results

Clinical characteristics

The baseline characteristics of the study population by sex were shown in Table 1. The study population consisted of 2092 (971 men and 1121 women, mean age 72.8 and 73.6 years, respectively). The prevalence of total DM in men and women were 23.1 % and 23.7 %, respectively (P = 0.381). The prevalence of hypertension in men and women were 45.3 % and 48.5 %, respectively (P = 0.077). There were no significant differences in the prevalence of IFG and high-normal BP between the sexes. Other metabolic and anthropometric variables, except for BMI and FPG, were significantly different between the sexes (all P < 0.05).

Table 1 Baseline characteristics by sex
Full size table

Association of FPG and risk of hypertension

After adjusting for sex, age, smoking, alcohol using, BMI, TG and TC levels, subjects in IFG and previously-diagnosed DM, as compared with NFG (<6.1 mmol/L), had a significant higher risk for hypertension in whole sample, with odds ratios (OR) of 1.81 (95 % CI, 1.39–2.35) (P = 0.000) and 1.40 (95 % CI, 1.09–1.80) (P = 0.009), respectively. Subjects in the IFG group were also associated with an increased OR of new-onset hypertension (OR 1.68 [95 % CI, 1.18–2.41], P = 0.004) when comparing with NFG. Of note, there were strong associations of hyperglycemic status with SBP and but not DBP (Table 2).

Table 2 Logistic regression analysis of association of hyperglycemia status with risk of hypertensiona
Full size table

The median of FPG was 5.45 mmol/L in men, and 5.51 mmol/L in women respectively in NFG group (Table 3). NFG group was further divided into two subgroups according to the median FPG level by sex. Even in the normal range of FPG, using below the median level of FPG as the reference, when adjusting for age, smoking and alcohol consumption (Model 1), higher FPG above the median was still significantly associated with a higher prevalence of hypertension in both gender, with OR of 1.93 (95 % CI, 1.60–2.34) (R2 = 0.028, P = 0.000) in men and 1.96 (95 % CI, 1.51–2.54) (R2 = 0.033, P = 0.000) in women respectively. After further adjusting for BMI, WC, TG and TC (Model 2), the association between higher FPG and the prevalence of hypertension was attenuated but remained statistically significant (OR 1.24 [95 % CI, 0.85–1.80], R2 = 0.114, P = 0.023 in men and 1.61 [95 % CI, 1.12–2.30], R2 = 0.082, P = 0.010 in women respectively). Similar associations were found between higher FPG levels and higher SBP in both genders. However, we did not find any association between higher FPG and higher DBP in both genders in Model 2.

Table 3 Logistic regression analysis of risk of hypertension in subjects with NFG (above vs. below the median fasting glucose level a)
Full size table

Table 4 showed the independent risk factors for SBP and DBP in whole sample and in individuals without hypoglycemic nor antihypertensive drugs (n = 924) by stepwise linear regression analysis. After adjusting for sex, age, smoking, alcohol consumption, BMI, WC, TC, and TG, FPG levels were significantly associated with SBP in both samples (β = 0.10, R2 = 0.013, P < 0.01 in whole sample and β = 0.12, R2 = 0.013, P < 0.01 in individuals without hypoglycemic or antihypertensive drugs respectively). As for DBP, FPG levels were also associated with DBP in individuals without hypoglycemic or antihypertensive drugs (β = 0.08, R2 = 0.006, P < 0.05).

Table 4 Stepwise linear regression analysis of risk factors for SBP and DBP
Full size table

Association of BP and risk of hyperglycemia

We explored the possible effect of high-normal BP and hypertension on the risk of IFG and DM by using multiple logistic regression analysis (Table 5). After adjusting for age, sex, smoking and alcohol consumption, when compared with the normal BP group, hypertensives had a significantly higher prevalence of IFG (OR 3.92 [95 % CI, 2.17–7.10], P < 0.01), and DM (2.83 [95 % CI, 1.83–4.38], P < 0.01) respectively, and subjects with high-normal BP had a similarly increased prevelance in IFG and DM (OR 2.07 [95 % CI, 1.13–3.78], P < 0.05, and OR 1.78 [95 % CI, 1.14–2.76], P < 0.05, respectively) (Table 5, Model 1). When further adjusting for BMI, WC, TG, and TC, the associations between hypertension and IFG and DM remained statistically significant, though attenuated (OR 3.17 [95 % CI, 1.70–5.68], P < 0.01, and 1.93 [95 % CI, 1.22–3.04], P < 0.01, respectively). Similar associations were also seen between high-normal BP and IFG, but not DM (Table 5, Model 2).

Table 5 Multiple logistic regression analysis of risk of IFG and DM
Full size table

Discussion

The close relationship between diabetes and hypertension has been recognized since the 1980s [6, 10], but how much this effect varies by race-ethnicity, age or levels of traditional risk factors is uncertain. The extent to which glucose concentration is associated with elevated blood pressure is also uncertain. The data for pure elders in China is more limited. In our present study, we aimed to explore the association of diabetes and FPG concentration with hypertension or high-normal BP in a select groups of elderly subjects in China. We found that, compared with subjects with NFG, subjects with IFG and previously-diagnosed DM had a higher prevalence of hypertension. Even among the subjects with NFG, higher FPG was still associated with a higher prevalence of hypertension after adjusting for covariates such as age, smoking, alcohol consumption, BMI, WC, TG, and TC level. FPG was an independent factor of systolic and diastolic BP. Conversely, multiple analyses revealed that subjects with hypertension also had a higher prevalence of IFG and DM.

Our study is comply with other studies that have indicated an increased risk for hypertension and other cardiovascular risk factors in diabetic individuals as well as in impaired glucose regulation than those with NFG [6, 7, 17, 18]. Our study extends this observation by illustrating that a high but normal FPG level was also a risk factor for hypertension in elderly Chinese subjects, and this relation was independent of other traditional cardiovascular risk factors. What’s more, we found that elevated FPG was independently associated with an increased risk of SBP and DBP. This is also in line with two recent studies [19, 20]. In Di Bonito P’s study among Southern European Caucasian children and adolescents (age 6–16 years), they found that subjects with high-normal FPG (83–99 mg/dL) had 1.57–2.23 times the risk for hypertension when compared with subjects with low-normal FPG (≤82 mg/dL) independent of BMI [19]. In a cohort study of a Japanese population (age 20–80 years), Y Heianza found that elevated concentration of FPG in normal range (<4.9 mmol/L vs. 4.9–5.6 mmol/L) was associated with higher risk of developing hypertension (OR 1.35–1.39) during a 5-year follow-up after adjusting for age and gender [20].

Our data also matches with other epidemiological data demonstrating that basal BP and BP progression are strong and independent predictors of incident hyperglycemia [7, 10–12, 18], and is also consistent with clinical trial data demonstrating that lower BP are associated with lower risk of cardiovascular diseases [13]. In the Women’s Health Study in the USA by David Conen et al, a baseline BP of 130-139/85-89 mmHg and hypertension will increase risk of incident Type 2 diabetes in the following 10 years by 1.45–2.03 times [7]. In a recent study of Chinese subjects in Hong Kong aged over 18 years, Sau NF found that subjects with IFG were more likely to develop diabetes within 5 years if they were hypertensive (aHR = 1.44) [11]. A large Japanese cohort study also showed that having both high-normal BP and hypertension in middle age was associated with increased risk of developing diabetes [9]. In our present study, we also found high-normal BP associated with risk of IFG after adjusting for conventional risk factors.

Although the association between hypertension and hyperglycemia has long been discussed, the underlying biological basis mediating this clinical association remains unclear. Hyperinsulinemia, an important component of the metabolic syndrome, may be one of the main factors [21]. Insulin resistance, which further contributes to hyperinsulinemia, often progresses to Type 2 diabetes [22]. In addition, the resistance in the hemodynamic properties of insulin may impair the blood flow in peripheral tissues, which indirectly contributes to the development of the atherogenic dysglycemia and dyslipidemia [23]. Hyperinsulinemia may directly contribute to elevation of blood pressure by increasing renal sodium retention [24] and enhancing sympathetic nervous system activity [25], whereas chronic sympathetic nervous system overactivity may contribute to a further increase of insulin resistance creating a vicious circle that may lead to the development of hypertension and diabetes. In addition, insulin resistance is also associated with a decreased vasodilatory response to insulin in peripheral tissue [26, 27] and an increased vasoconstrictor response to various vasopressors [28, 29], which mainly results the increase of systolic blood pressure. The pathophysiological mechanism linking insulin and hypertension is complex and still needs to be fully elucidated.

Our present study adds to the literature by demonstrating that hyperglycemia is closely correlated with hypertension in a population of the elderly. We were able to explore the associations between blood glucose levels and BP in a relative large, well-defined cohort. However, several potential limitations of the study merit discussion. First, because of the observational nature of the study, we cannot infer causality from our present data. Second, lack of evaluation of postprandial blood glucose level and repeated FPG measurement should underestimate the prevalence of diabetes in this population. As this was a survey based on the elderly population, postprandial blood glucose measurement may pose certain problems for the elderly, as they would need to wait 2 h for venous draw blood after a meal. Third, although multiple potential confounders have been adjusted for, we cannot completely rule out the residual confounders attributed to the inaccurate measurement of confounders, or some unmeasured confounders.

Conclusions

Our study suggests that hyperglycemia as well as a high but normal FPG level was associated with a higher prevalence of hypertension independent of other cardiovascular risk factors among elderly Chinese. On the other hand, hypertension, even high-normal BP, was also associated with a higher prevalence of hyperglycemia. Further studies are needed to explore the relationship between hyperglycemia and hypertension in a longitudinal setting.

Abbreviations

BP, blood pressure; TG, triglyceride; HDL-c, high-density lipoprotein cholesterol; DM, diabetes mellitus; FPG, fasting plasma glucose; AIDS, acquired immune deficiency syndrome; SBP, systolic blood pressure; DBP, diastolic blood pressure; NFG, normal fasting glucose; IFG, impaired fasting glucose; BMI, body mass index; TC, total cholesterol

References

  1. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/NationalHeart, Lung, and Blood Institute scientific statement. Circulation. 2005;112:2735–52.

    Article  PubMed  Google Scholar 

  2. Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002;288:2709–16.

    Article  PubMed  Google Scholar 

  3. Isomaa B, Almgren P, Tuomi T, Forsén B, Lahti K, Nissén M, et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 2001;24:683–9.

    Article  CAS  PubMed  Google Scholar 

  4. Emerging Risk Factors Collaboration, Sarwar N, Gao P, Seshasai SR, Gobin R, Kaptoge S, et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet. 2010;375:2215–22.

    Article  Google Scholar 

  5. Stamler J, Vaccaro O, Neaton JD, Wentworth D. Diabetes, other risk factors, and 12-yr cardiovascular mortality for men screened in the Multiple Risk Factor Intervention Trial. Diabetes Care. 1993;16:434–4.

    Article  CAS  PubMed  Google Scholar 

  6. Hypertension in Diabetes Study (HDS): I. Prevalence of hypertension in newly presenting type 2 diabetic patients and the association with risk factors for cardiovascular and diabetic complications. J Hypertens. 1993;11:309-17.

  7. Yang Z, Xing X, Xiao J, Lu J, Weng J, Jia W, et al. Prevalence of cardiovascular disease and risk factors in the Chinese population with impaired glucose regulation: the 2007-2008 China national diabetes and metabolic disorders study. Exp Clin Endocrinol Diabetes. 2013;121:372–74.

    Article  CAS  PubMed  Google Scholar 

  8. Conen D, Ridker PM, Mora S, Buring JE, Glynn RJ, et al. Blood pressure and risk of developing type 2 diabetes mellitus: the Women’s Health Study. Eur Heart J. 2007;28:2937–43.

    Article  PubMed  Google Scholar 

  9. Golden SH, Wang NY, Klag MJ, Meoni LA, Brancati FL. Blood pressure in young adulthood and the risk of type 2 diabetes in middle age. Diabetes Care. 2003;26:1110–5.

    Article  PubMed  Google Scholar 

  10. Hayashi T, Tsumura K, Suematsu C, Endo G, Fujii S, Okada K. High normal blood pressure, hypertension, and the risk of type 2 diabetes in Japanese men. The Osaka Health Survey. Diabetes Care. 1999;22:1683–87.

    Article  CAS  PubMed  Google Scholar 

  11. Wei GS, Coady SA, Goff Jr DC, Brancati FL, Levy D, Selvin E, et al. Blood pressure and the risk of developing diabetes in African Americans and whites: ARIC, CARDIA, and the Framingham heart study. Diabetes Care. 2011;34:873–9.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Fu SN, Luk W, Wong CK, Cheung KL. Progression from impaired fasting glucose to type 2 diabetes mellitus among Chinese subjects with and without hypertension in a primary care setting. J Diabetes. 2014;6:438–46.

    Article  CAS  PubMed  Google Scholar 

  13. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R, Prospective Studies Collaboration. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360:1903–13.

    Article  PubMed  Google Scholar 

  14. Yan Q, Sun D, Li X, Zheng Q, Li L, Gu C, Feng B. Neck circumference is a valuable tool for identifying metabolic syndrome and obesity in Chinese elder subjects: a community-based study. Diabetes Metab Res Rev. 2014;30:69–76.

    Article  PubMed  Google Scholar 

  15. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, et al. Seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003;42:1206–52.

    Article  CAS  PubMed  Google Scholar 

  16. Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med. 1998;15:539–53.

    Article  CAS  PubMed  Google Scholar 

  17. Williams DE, Cadwell BL, Cheng YJ, Cowie CC, Gregg EW, Geiss LS, et al. Prevalence of impaired fasting glucose and its relationship with cardiovascular disease risk factors in US adolescents, 1999-2000. Pediatrics. 2005;116:1122–6.

    Article  PubMed  Google Scholar 

  18. Chen G, McAlister FA, Walker RL, Hemmelgarn BR, Campbell NR. Cardiovascular outcomes in Framingham participants with diabetes: the importance of blood pressure. Hypertension. 2011;57:891–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Di Bonito P, Sanguigno E, Forziato C, Saitta F, Iardino MR, Capaldo B. Fasting plasma glucose and clustering of cardiometabolic risk factors in normoglycemic outpatient children and adolescents. Diabetes Care. 2011;34:1412–14.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Heianza Y, Arase Y, Kodama S, Hsieh SD, Tsuji H, Saito K, et al. Fasting glucose and HbA1C levels as risk factors for the development of hypertension in Japanese individuals: Toranomon hospital heath management center study 16(TOPICS 16). J Hum Hypertens. 2015;29:254–9.

    Article  CAS  PubMed  Google Scholar 

  21. Lambert GW, Straznicky NE, Lambert EA, Dixon JB, Schlaich MP. Sympathetic nervous activation in obesity and the metabolic syndrome--causes, consequences and therapeutic implications. Pharmacol Ther. 2010;126:159–72.

    Article  CAS  PubMed  Google Scholar 

  22. Dimitriadis G, Mitrou P, Lambadiari V, Maratou E, Raptis SA. Insulin effects inmuscle and adipose tissue. Diabetes Res Clin Pract. 2011;93 Suppl 1:S52–9.

    Article  CAS  PubMed  Google Scholar 

  23. Lambadiari V, Triantafyllou K, Dimitriadis GD. Insulin action in muscle and adipose tissue in type 2 diabetes: The significance of blood flow. World J Diabetes. 2015;6:626–33.

    PubMed  PubMed Central  Google Scholar 

  24. Chávez-Canales M, Arroyo JP, Ko B, Vázquez N, Bautista R, Castañeda-Bueno M, et al. Insulin increases the functional activity of the renal NaCl cotransporter. J Hypertens. 2013;31:303–11.

    PubMed  PubMed Central  Google Scholar 

  25. Reaven GM. Role of insulin resistance in human disease. Diabetes. 1988;37:1595–607.

    Article  CAS  PubMed  Google Scholar 

  26. Doronzo G, Russo I, Mattiello L, Anfossi G, Bosia A, Trovati M. Insulin activates vascular endothelial growth factor in vascular smooth muscle cells: influence of nitric oxide and of insulin resistance. Eur J Clin Invest. 2004;34:664–73.

    Article  CAS  PubMed  Google Scholar 

  27. Anfossi G, Russo I, Doronzo G, Trovati M. Contribution of insulin resistance to vascular dysfunction. Arch Physiol Biochem. 2009;115:199–217.

    Article  CAS  PubMed  Google Scholar 

  28. Jia G, DeMarco VG, Sowers JR. Insulin resistance and hyperinsulinaemia in diabetic cardiomyopathy. Nat Rev Endocrinol. 2016;12:144–53.

    Article  CAS  PubMed  Google Scholar 

  29. Zhou MS, Liu C, Tian R, Nishiyama A, Raij L. Skeletal muscle insulin resistance in salt-sensitive hypertension: role of angiotensin II activation of NFkB. Cardiovasc Diabetol. 2015;14:45.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgments

We were grateful to the participants, physicians and nurses in the Department of endocrinology of Shanghai East hospital and Shanghai Puxing Community Health-Care Center for taking part in this study.

Funding

This study was funded by Key Disciplines Group Construction Project of Pudong Health Bureau of Shanghai (Grant No.PWZxkq2010-04), Key Specialty Construction Project of Pudong Health and Family Planning Commission of Shanghai (Grant No.PWZz2013-04) and Project of Science and Technology of Pudong Health and Family Planning Commission of Shanghai (Grant No.PW2013c-11).

Availability of data and materials

This research was based on a public health examination for the elders in the 11 communities of Shanghai Pudong New Area. As the dataset contained direct identifiers of the participants and the informed consent for publication was not obtained, we could not share it according to the law of the institutional review board of Shanghai East Hospital.

Authors’ contributions

BF was the principal investigator (PI). He designed the study and oversaw the project implementation, participated in data collection, analyses and interpretation and writing publications. QY and DS participated in study design and participated in data collection, data analyses and interpretation and writing publications. XL participated in the design of the study and performed the statistical analysis. GC, QZ, LL and CG conceived of the study, and participated in its coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

Authors’ information

Professor Bo Feng, the Ph.D supervisor, the member of the Chinese Diabetes Society; the Vice Chairman of Shanghai Diabetes Association; the member of Shanghai Diabetes Rehabilitation Association; the Director of the Committee of Endocrinology, Shanghai Pudong New District.

Competing interests

The authors declare that they have no conflict of interest to declare.

Consent for publication

Not applicable.

Ethical approval and consent to participate

Written informed consent was obtained from all participants. This study was approved by the institutional review board of Shanghai East Hospital and complied with the Declaration of Helsinki.

Author information

Author notes

    Authors and Affiliations

    1. Department of Endocrinology, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China

      Qun Yan, Dongmei Sun, Xu Li & Bo Feng

    2. Puxing Community Health-Care Center, Pudong New District, 250 GuiChang Road, Shanghai, 200136, China

      Dongmei Sun, Guoliang Chen, Qinghu Zheng, Lun Li & Chenhong Gu

    Authors
    1. Qun Yan
      View author publications

      You can also search for this author in PubMed Google Scholar

    2. Dongmei Sun
      View author publications

      You can also search for this author in PubMed Google Scholar

    3. Xu Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    4. Guoliang Chen
      View author publications

      You can also search for this author in PubMed Google Scholar

    5. Qinghu Zheng
      View author publications

      You can also search for this author in PubMed Google Scholar

    6. Lun Li
      View author publications

      You can also search for this author in PubMed Google Scholar

    7. Chenhong Gu
      View author publications

      You can also search for this author in PubMed Google Scholar

    8. Bo Feng
      View author publications

      You can also search for this author in PubMed Google Scholar

    Corresponding author

    Correspondence to Bo Feng.

    Rights and permissions

    Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

    Reprints and permissions

    About this article

    Check for updates. Verify currency and authenticity via CrossMark

    Cite this article

    Yan, Q., Sun, D., Li, X. et al. Association of blood glucose level and hypertension in Elderly Chinese Subjects: a community based study. BMC Endocr Disord 16, 40 (2016). https://doi.org/10.1186/s12902-016-0119-5

    Download citation

    • Received:

    • Accepted:

    • Published:

    • DOI: https://doi.org/10.1186/s12902-016-0119-5

    Keywords

    BMC Endocrine Disorders

    ISSN: 1472-6823

    Contact us