The Relationship of Pulse Pressure and Bone Mineral Density in Adult USA Population: Analysis of the National Health and Nutritional Examination Survey
Received Date: Jul 20, 2018 / Accepted Date: May 25, 2018 / Published Date: Jun 01, 2018
Background/Purpose: Accumulating evidence indicates a relationship between Cardiovascular Disease (CVD) and osteoporosis. Hypertension, a known risk factor for CVD is also associated with low Bone Mineral Density (BMD). We hypothesize that Pulse Pressure (PP); a CVD risk factor is associated with BMD.
Methods: Data from two consecutive cycles of National Health and Nutritional Examination Survey (NHANES) from 2009-2010 and 2011-2012. Point estimates of demographic variables were calculated using descriptive methods. Study participants were divided into 4 groups based on quartile distribution of PP. Multivariate linear regression analysis was performed to assess the relationship between BMD and PP.
Results: A total of 8,179 NHANES participants were included in the study. The cohort’s mean age (± SE) was 53.3 years 0.19, mean BMI (± SE) 29.6 kg/m2 ± 0.07. PP was significantly higher with increased age, among Blacks (57.4 ± 0.52) and Hispanics (57.5 ± 0.19) compared to whites (53.9 ± 0.29), and for men (57.2 ± 0.16) when compared to women (54.1 ± 0.17), p<0.05. After adjusting for age, sex, race, menopause, body mass index, family history of osteoporosis, PP was associated with femoral neck BMD, β=-0.0005, p<0.05 but was not significantly associated with lumbar spine BMD, β=-0.0002, p=0.07.
Conclusion: Our results support the hypothesis that wide PP is associated with low BMD. This negative association was demonstrated at the femoral neck where bone loss and osteoporotic fractures occur at a more advanced stage, further supporting the relationship between atherosclerosis and osteoporosis risk. These findings have the potential for identifying high osteoporotic risk patients among those with wide pulse pressure, providing further indications for bone mineral density testing among these elderly frail patients. Further research is needed to investigate the mechanisms behind the relationship between PP and BMD.
Keywords: Osteoporosis; Cardiovascular disease; Bone mineral density; Pulse pressure; Femoral neck; Lumbar spine
Osteoporosis and Cardiovascular Disease (CVD) are major public health problems, which are rapidly increasing as the population’s ages. Osteoporosis causes more than 8.9 million fractures annually, equivalent to one fracture every 3 seconds , while CVD has been consistently the leading cause of death in the United States, accounting for more than a half million deaths every year .
Several lines of evidence exist regarding the association between osteoporosis and CVD. Previous studies and reviews have shown that these two diseases have common risk factors, such as aging, hypertension, dyslipidemia, smoking, alcohol abuse, and sedentary lifestyle [3,4]. Low bone mineral density is also associated with increased CVD morbidity and mortality . Although these two conditions are seemingly unrelated and perhaps associations can be due to confounding factors, investigators have shown a number of interesting anatomical and pathophysiological features shared by both vascular system such as calcification and bone mineralization or remodelling . For example, a recent meta-analysis demonstrated inverse relationship between hypertension and vitamin D levels, which is a key element in bone metabolism . Moreover, many of medical treatments of osteoporosis or vascular disease have demonstrated a cross-benefit to one another; bisphosphonate for osteoporosis are associated with lower risk of coronary atherosclerotic disease [8,9] and statins to treat dyslipidemia are shown to decrease risk of osteoporotic fracture . Similarly, decreased risk of fracture was associated with several antihypertensive drugs used to treat elderly hypertensive patients . These reports suggest a complex and possibly interconnected pathophysiological pathways that form a common soil for two seemingly separate diseases.
Pulse Pressure (PP) is the difference between systolic and diastolic blood pressure. Wide PP is largely due to large-artery stiffness , while decreased PP is caused by low stroke volume, as in congested heart failure or aortic valve stenosis . Furthermore, there is increasing evidence that increased PP is an independent predictor of risk of mortality from coronary heart disease as it is related to atherosclerosis [14-16]. Although PP is a readily-available measure calculated from any blood pressure reading, its value can often be overlooked as too non-specific.
In this context, we aim to examine association between PP and osteoporosis. Several studies have looked at positive correlation between osteoporosis and aortic stiffness including a study from our institution, where women with lower Bone Mineral Density (BMD) had increased arterial stiffness [17-20]. There have been research abstract and few studies to relate increased pulse wave velocity and osteoporosis but with limited study subjects number, region or race [21-23]. We aim to utilize National Health and Nutritional Examination Survey (NHANES) which is a nation-wide database that can provide essential and reliable data resource adequate for our study. We will examine relationship between PP and BMD, a surrogate measurement for osteoporosis.
Material and Methods
NHANES is a complex, multistage, area probability sample representative of the United States non-institutionalized civilian population (NHANES 2013). The interview, conducted in the home included questions on health and sociodemographic characteristics. After participating in the interview, respondents were invited to a mobile examination centre where standardized physical examinations were conducted, including blood pressure measurements. Data from 2 consecutive 2-year cycles of NHANES from 2009 to 2010 and 2011 to 2012 were used.
Blood pressure measurements were obtained in the mobile examination centre by trained physicians following a standard protocol. Appropriate blood pressure cuff sizes were used for participants based on measurement of midarm circumference. All blood pressure readings were obtained at a single examination visit. Pulse pressure calculation was made by subtracting the diastolic blood pressure from the systolic blood pressure reading. The average of ≤ 3 pulse pressure results was used for pulse pressure values. If there were only 1 or 2 readings, a single reading or the average of 2 readings were included in the analysis.
Bone Mineral Density (BMD) was measured by trained examiners in mobile examination centres. Total femoral bone density was measured by dual energy x-ray absorptiometry (Hologic QDR-1000; Hologic, Inc, Waltham, Mass). Scans were reviewed by consultants at the Mayo Clinic, Rochester MN, for quality control. BMD (grams per centimeter square) was measured by Dual Energy X-Ray Absorptiometry (DEXA). DEXA was administered to eligible survey participants in NHANES mobile examination centres. Women younger than 60 years were permitted to take the DEXA examination only if a pregnancy test taken at the time of the examination was negative. Individuals were excluded from the DEXA examination who reported taking tests with radiographic contrast material or having participated in nuclear medicine studies in the past 3 days or had a self-reported weight (>300 lb) or height (>6 ft 5 in) over the DEXA table limit. Whole-body DEXA scans were acquired using a QDR 4500A fan-beam densitometer (Hologic Inc.) following the manufacturer’s acquisition procedures. Details of the DEXA protocol, quality control analysis, and multiple imputation procedure are available. We specifically examined lumbar spine BMD and total BMD. We chose lumbar BMD because the lumbar spine is one of the most common sites of fractures.
Statistical analyses were performed with linear regression procedures in SAS 7.3. We used sample weights when calculating point estimates, so estimates are representative of the civilian noninstitutionalized US population at the time of NHANES 2011-2012. Weighted multivariate linear regression analyses were performed for the total sample and stratified by age (20-39 and 40-59 years). Models were adjusted for age at interview, race/ethnicity, BMI, diabetes, sleep duration and regular periods.
A total of 8,179 NHANES participants were included in the study (Table 1). They were 55.2% women, with a mean age (± SE) 53.3 years ± 0.19, mean BMI (± SE) 29.6 kg/m2 ± 0.07. Among women, the mean lumbar and femoral neck BMD were 1.00 ± 0.002 and 0.79 ± 0.002 respectively with a mean PP (± SE) of 54.1 ± 0.17.
|Number of Study Subjects: 8,179||Lumbar Total BMD||Std Err||Femoral Neck BMD||Std Err||Pulse Pressure mmHg||Std Err|
|Mean Age (All)||53.33||0.1868|
|Mean BMI (All)||29.61||0.0692|
Table 1: Study Demographics
Men had higher BMD at the lumbar spine and femoral neck and higher PP compared to women. Lumbar BMD=1.064 ± 0.003, femoral neck BMD =0.85 ± 0.003, PP for men was 57.2 ± 0.16. The mean PP (mmHg) for women was 54.1 ± 0.17. Mean PP was significantly higher with increased age, among Blacks (57.4 ± 0.52), among all Hispanics (57.5 ± 0.19), compared to whites (53.9 ± 0.29) and for men (57.2 ± 0.16) when compared to women (54.1 ± 0.17), p<0.05 (Table 1).
A comparison between the overall mean PP and those within the 20-39, 40-59, and 50-79 age groups demonstrated a minimal difference. However, in the ≥ 80 age group the mean PP was consistently increased compared to the overall mean PP within all quartiles; reaching as high as 91.9 ± 19.43 in the 4th quartile among those who are ≥ 80 years of age. (Figure 1) Our study did not demonstrate significant difference among the different racial groups in the highest PP quartile. The lack of a significant difference between the races in the ≥ 80 years of age group could be explained by the fact that high risk minority groups suffer premature cardiovascular death compared with Whites, leaving a relative healthy non-White population with more or less equal PP observed (Table 2).
|ALL||36.2 ± 5.26||47.9 ± 2.87||59.9 ± 4.36||87.2 ± 16.4||<0.05|
|Male||36.0 ± 5.17||48.0 ± 2.91||59.9 ± 4.31||84.7 ± 15.23|
|Female||35.4 ± 5.66||47.8 ± 2.93||60.2 ± 4.41||87.4 ± 17.46|
|20-39 years||35.7 ± 5.26||47.5 ± 2.85||58.9 ± 4.12||78.5 ± 9.57|
|40-59 years||35.3 ± 5.76||47.7 ± 2.93||59.2 ± 4.10||83.8 ± 16.40|
|60-79 years||36.9 ± 4.87||48.2 ± 2.89||60.7 ± 4.46||84.8 ± 15.04|
|≥ 80 years||37.0 ± 4.17||49.4 ± 2.72||61.0 ± 4.20||91.9 ± 19.43|
|Mexican American||36.2 ± 5.26||47.9 ± 2.87||59.9 ± 4.36||87.2 ± 16.42|
|Other Hispanic||35.8 ± 5.23||47.6 ± 2.94||60.0 ± 4.33||86.1 ± 16.72|
|Non-Hispanic White||35.6 ± 5.40||48.0 ± 2.90||60.1 ± 4.40||85.8 ± 15.98|
|Non-Hispanic Black||35.4 ± 5.91||48.1 ± 2.99||60.2 ± 4.33||87.2 ± 18.09|
|Other||35.7 ± 5.23||47.5 ± 2.88||59.6 ± 4.28||83.2 ± 13.65|
Table 2: Quartile distribution of mean pulse pressure by age, sex and race.
After adjusting for age, sex, race, menopause, body mass index, family history of osteoporosis, PP was associated with femoral neck BMD, β=-0.0005, p<0.05 but was not significantly associated with lumbar spine BMD, β=-0.0002, p=0.07 (Table 3, Figure 2). After adjusting for age, sex, race, menopause, body mass index, family history of osteoporosis, PP was associated with femoral neck BMD, β=-0.0005, p <0.05 but was not significantly associated with lumbar spine BMD, β=-0.0002, p=0.07 (Table 3).
|Mean Pulse Pressure||-0.0002||-0.0305||0.07|
|Body Mass Index||0.0066||0.2948||<0.05|
|Family History of Osteoporosis||-0.0107||-0.023||0.11|
|Menopause (past 12 months)||-0.0864||-0.2669||<0.05|
|Mean Pulse Pressure||-0.0005||-0.0788||<0.05|
|Body Mass Index||0.0078||0.3462||<0.05|
|Family History of Osteoporosis||-0.0119||-0.0275||<0.05|
|Menopause (past 12 months)||-0.0777||-0.2439||<0.05|
Table 3: Linear regression results of pulse pressure, lumbar spine and femoral neck bone mineral density.
Our results support the hypothesis that wide pulse pressure, a surrogate marker of atherosclerosis is associated with low BMD, a measurement for osteoporosis. This supports the notion of a related pathogenesis between osteoporosis and atherosclerosis as demonstrated in several reports including one by our group [4,19]. Several mechanisms have been proposed to explain the high risk for atherosclerosis among population with low BMD. These include increased cytokine production, recruitment of osteoclasts that lead to increased bone resorption, and loss of estrogen. Estrogens which have a favorable effect on nitric oxide function is beneficial for endothelial function as well as recruitment of osteoblasts, which at least partially explains the rapid bone loss after menopause [14,24]. This factor together with a decreased skin response to ultraviolet rays leads to decreased vitamin D generation and ultimately contributes to bone resorption . Furthermore, hypertension, an established cause for atherosclerosis, has been associated with lower bone mineral density likely explained by increased calciuria . Hypertensive women have low BMD compared to their normotensive counterparts even after adjusting for confounding factors including thiazide diuretic use. Thiazide diuretic use may mask subclinical-yet relevanthyperparathyroidism in hypertensive patients which could also be thought to increase bone resorption in those hypertensive patients .
Rat models have demonstrated hypertensive rats have higher urinary calcium compared to wild type animals. These animal studies also support the notion that hypertension may lead to a transient serum hypocalcemia and further promote bone resorption to maintain calcium homeostasis . Dyslipidemia, a major contributor to atherosclerosis is also associated with lower bone density . In fact, oxidized LDL, not only leads to atherosclerotic plaques, but also inhibits osteoblasts. Not surprisingly, statins, agents that decrease this oxidized LDL-cholesterol are associated with higher bone mineral density . Population studies from Finland demonstrated that statin use is associated with increased BMD in women . On the other hand, bisphosphonates, agents used for treatment of osteoporosis are associated with favorable lipid profile. These agents work one step downstream from the HMG-CoA reductase in the mevalonate pathway [5,30]. Statins have mainly target the mevalonate pathway in the liver to decrease lipid synthesis, while bisphosphonates have target mevalonate pathway in the bone and are the mainstay for therapy for osteoporosis [31,32]. On-going research is likely to develop agents with equal affinities for bone and liver, thus treating both osteoporosis and atherosclerotic disease, common co-morbid conditions among elderly population with one therapeutic agent .
Our study based on NHANES data, has several limitations such the lack of contemporaneous vitamin D, parathyroid, calcitonin levels with BMD measurements. These metabolic makers could have help identified other metabolic derangements that could explain the findings on BMD encountered in the elderly population, the age group known at highest risk for Vitamin D deficiency. Other limitations include lack of data on personal history of fracture as well as maternal fracture etc. that might account for low bone mass independent of the high pulse pressure.
Finally, our study demonstrated a negative association between low cortical bone and pulse pressure. Additional studies are needed to confirm our findings and to elucidate the mechanisms underlying this association. Our study also has the potential for identifying patients with high pulse pressure for potential screening for osteoporosis through BMD measurements which help prevent fractures, particularly at the hip, a devastating and most feared consequence of osteoporosis that is associated with increased morbidity and mortality among older frail populations.
This work is supported in part by Dr. Moro O. Salifu's efforts through NIH Grant # S21MD012474
- Johnell O, Kanis JA (2006) An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 17: 1726-1733.
- Pagidipati NJ, Gaziano TA (2013) Estimating deaths from cardiovascular disease: a review of global methodologies of mortality measurement. Circulation 127: 749-756.
- Farhat GN, Newman AB, Sutton-Tyrrell K, Matthews KA, Boudreau R, et al. (2007) The association of bone mineral density measures with incident cardiovascular disease in older adults. Osteoporos Int 18: 999-1008.
- McFarlane SI, Muniyappa R, Shin JJ, Bahtiyar G, Sowers JR (2004) Osteoporosis and cardiovascular disease. Endocrine 23: 1-10.
- Farhat GN, Cauley JA (2008) The link between osteoporosis and cardiovascular disease. Clin Cases Miner Bone Metab 5: 19-34.
- Doherty TM, Asotra K, Fitzpatrick LA, Qiao JH, Wilkin DJ, et al. (2003) Calcification in atherosclerosis: bone biology and chronic inflammation at the arterial crossroads. Proc Natl Acad Sci U S A 100: 11201-11206.
- Feneis JF, Arora RR (2011) Role of vitamin D in blood pressure homeostasis. Am J Ther 17: e221-e229.
- Chen SJ, Lin CS, Lin CL, Kao CH (2015) Osteoporosis is associated with high risk for coronary heart disease: A population-based cohort study. Medicine (Baltimore) 94: e1146.
- Santos LL, Cavalcanti TB, Bandeira FA (2012) Vascular effects of bisphosphonates-A systematic review. Clin Med Insights Endocrinol Diabetes 5: 47-54.
- Pasco JA, Kotowicz MA, Henry MJ, Sanders KM, Nicholson GC, et al. (2002) Statin use, bone mineral density, and fracture risk: Geelong Osteoporosis Study. Arch Int Med 162: 537-540.
- Kim SY, Kim S, Choi SE, Kim BS, Choi HR, et al. (2017) Number of daily antihypertensive drugs and the risk of osteoporotic fractures in older hypertensive adults: National health insurance service-Senior cohort. J Cardiol 70: 80-85.
- Arani DT, Carleton RA (1967) Assessment of aortic valvular stenosis from the aortic pressure pulse. Circulation 36: 30-35.
- Schillaci G, Di Luzio S, Coluccini M, Gonzini L, Porcu M, et al. (2004) A low pulse pressure is an independent predictor of mortality in heart failure: data from a large nationwide cardiology database (IN-CHF Registry). Ital Heart J 5: 892-898.
- Benetos A, Safar M, Rudnichi A, Smulyan H, Richard JL, et al. (1997) Pulse pressure: a predictor of long-term cardiovascular mortality in a French male population. Hypertension 30: 1410-1415.
- Franklin SS, Khan SA, Wong ND, Larson MG, Levy D (1999) Is pulse pressure useful in predicting risk for coronary heart Disease? The Framingham heart study. Circulation 100: 354-360.
- Mitchell GF, Moyé LA, Braunwald E, Rouleau JL, Bernstein V, et al. (1997) Sphygmomanometrically determined pulse pressure is a powerful independent predictor of recurrent events after myocardial infarction in patients with impaired left ventricular function. Circulation 96: 4254-4260.
- Cecelja M, Jiang B, Bevan L, Frost ML, Spector TD, et al. (2011) Arterial stiffening relates to arterial calcification but not to noncalcified atheroma in women-A twin study. J Am Coll Cardiol 57: 1480-1486.
- Frost ML, Grella R, Millasseau SC, Jiang BY, Hampson G, et al. (2008) Relationship of calcification of atherosclerotic plaque and arterial stiffness to bone mineral density and osteoprotegerin in postmenopausal women referred for osteoporosis screening. Calcif Tissue Int 83: 112-120.
- McFarlane SI, Qureshi G, Singh G, Venner-Jones K, Salciccioli L, et al. (2012) Bone mineral density as a predictor of atherosclerosis and arterial wall stiffness in obese African-American women. Cardiorenal Med 2: 328-334.
- Seo SK, Cho S, Kim HY, Choi YS, Park KH, et al. (2009) Bone mineral density, arterial stiffness, and coronary atherosclerosis in healthy postmenopausal women. Menopause 16: 937-943.
- Hirose K, Tomiyama H, Okazaki R, Arai T, Koji Y, et al. (2003) Increased pulse wave velocity associated with reduced calcaneal quantitative osteo-sono index: possible relationship between atherosclerosis and osteopenia. J Clin Endocrinol Metab 88: 2573-2578.
- McDonnell B, So A, Bolton C, Munnery M, Williams S, et al. (2007) Osteoporosis is associated with increased aortic pulse wave velocity. Artery Res 1: 68.
- Mori H, Seto S, Oku Y, Hashiba K, Ochi S, et al. (1991) The relationship between the aortic pulse wave velocity and osteoporosis in elderly women. Nihon Ronen Igakkai Zasshi 28: 200-204.
- Yu X, Huang Y, Collin-Osdoby P, Osdoby P (2004) CCR1 chemokines promote the chemotactic recruitment, RANKL development, and motility of osteoclasts and are induced by inflammatory cytokines in osteoblasts. J Bone Miner Res 19: 2065-2077.
- Wermers RA, Kearns AE, Jenkins GD, Melton LJ (2007) Incidence and clinical spectrum of thiazide-associated hypercalcemia. Am J Med 120: 911.
- Petrazzuolo O, Trepiccione F, Zacchia M, Capasso G (2010) Hypertension and renal calcium transport. J Nephrol 23: S112-S117.
- Lawrence BW, Emmanuel OA, Ihuoma C, Eloy S, Anthony F, et al. (2013) Serum lipids and bone mineral density in Hispanics with type-2 diabetes. Int J Body Composit Res 11: 113-118.
- Yue J, Zhang X, Dong B, Yang M (2010) Statins and bone health in postmenopausal women: a systematic review of randomized controlled trials. Menopause 17: 1071-1079.
- Helin-Salmivaara A, Korhonen MJ, Lehenkari P, Junnila SY, Neuvonen PJ, et al. (2012) Statins and hip fracture prevention–a population based cohort study in women. PloS one 7: e48095.
- Ylitalo R (2000) Bisphosphonates and atherosclerosis. Gen Pharmacol 35: 287-296.
- Turek J, Ebetino FH, Lundy MW, Sun S, Kashemirov BA, et al. (2012) Bisphosphonate binding affinity affects drug distribution in both intracortical and trabecular bone of rabbits. Calcif Tissue Int 90: 202-210.
- Wei W, Schwaid AG, Wang X, Wang X, Chen S, et al. (2016) Ligand activation of ERRα by cholesterol mediates statin and bisphosphonate effects. Cell Metab 23: 479-491.
- Likus W, Siemianowicz K, Bieńk K, Pakuła M, Pathak H, et al. (2016) Could drugs inhibiting the mevalonate pathway also target cancer stem cells? Drug Resist Updat 25: 13-25.
Citation: McFarlane IM, Shin TH, Bhamra M, Alvarez MR, Leon SZ, et al. (2018) The Relationship of Pulse Pressure and Bone Mineral Density in Adult USA Population: Analysis of the National Health and Nutritional Examination Survey. Rheumatology (Sunnyvale) 8: 240. Doi: 10.4172/2161-1149.1000240
Copyright: © 2018 McFarlane, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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