- Research article
- Open Access
Hypertension is associated with osteoporosis: a case-control study in Chinese postmenopausal women
BMC Musculoskeletal Disorders volume 22, Article number: 253 (2021)
Osteoporosis and cardiovascular disease (CVD) are age-related diseases. It is reported that patients with CVD have a higher risk of bone loss. This retrospective study sought to reveal the association between osteoporosis and CVD in Chinese women. Although epidemiological evidence has indicated a relationship between the two, clinical data in southeast China are lacking.
In total, 2873 participants completed the baseline survey from January 2007 to October 2019, and 2039 were included in this retrospective study. We divided all subjects into an osteoporosis group and a non-osteoporosis group based on their bone mineral density (BMD). Dual-energy X-ray absorptiometry (DXA) was used to examine BMD. The general information came from the questionnaire survey. Cardiovascular diseases were defined by asking participants at the first visit and checking relevant medical records if they had suffered from hypertension, coronary heart disease, or cerebral infarction.
According to the criterion, the osteoporosis group had 678 subjects, and the non-osteoporosis group had 1361 subjects. Subjects in the osteoporosis group had a significantly higher prevalence of hypertension and coronary heart disease. Besides, the proportion of subjects who drank tea and drank milk were relatively higher in the osteoporosis group. The odds ratio (OR) for suffering from osteoporosis was high if the patients had hypertension.
This study indicated that Chinese postmenopausal women with osteoporosis had a higher prevalence of hypertension. Hypertension was significantly associated with osteoporosis.
Osteoporosis is a skeletal disease accompanied by low bone mass and a deterioration of the bone microarchitecture, leading to increased bone fragility and risk of fractures . Cardiovascular disease (CVD) is mainly caused by arteriosclerosis, including coronary heart disease, hypertension, cerebral infarction, and other vascular diseases. Osteoporosis and CVD are common clinical diseases. With changing lifestyles and ageing population, the incidence has increased significantly and seriously threatens the physical and mental health of elderly individuals.
It was previously thought that the two were independent of each other, but epidemiological studies have proven a correlation between them [2, 3]. Recently, with further study of the relationship between osteoporosis and CVD, it has been confirmed that they share common risk factors among elderly individuals, especially in postmenopausal women. Age, smoking, lack of physical exercise, vitamin D deficiency, and diabetes mellitus are considered common risk factors for osteoporosis and CVD [4,5,6]. Some studies have indicated that patients with CVD have a higher risk of bone loss. Besides, individuals with low bone mass have higher mortality from CVD . The possible link between CVD and osteoporosis led us to identify a common pathological basis. The common pathogenesis of vascular calcification and bone mineralization involves oxidative stress, inflammation, and lipid metabolism [8, 9]. In this process, they share common regulatory factors, such as bone morphogenetic proteins (BMPs), osteoprotegerin (OPG), matrix protein Gla (MPG), and tumour necrosis factor-alpha (TNF-α) [10, 11].
Similarly, genetic research has also provided evidence for an association between osteoporosis and CVD. The deletion of specific genes in mice and mutations of critical genes in humans can lead to vascular calcification and early osteoporosis . Research on the relationship between the two is beneficial to prevention and treatment. Specifically, clinical evaluations of CVD patients should consider the measurement of bone mineral density. Additionally, patients with osteoporosis should undergo electrocardiogram examination or Doppler ultrasound, which could have great significance for treating the two diseases .
Epidemiology has provided the most direct and considerable evidence for the relationship between osteoporosis and CVD. However, the different methods and populations in reported studies thus far limit the reliability of the results . Few clinical studies have reported from different regions of China. In Tibet, a retrospective study of 99 Chinese Tibetan postmenopausal women with type 2 diabetes indicated that the BMD T-score of the spine and femoral neck was inversely associated with systolic blood pressure (SBP) . Another cross-sectional study of 580 patients from Wuhan, China revealed a correlation between total hip BMD and cardio-ankle vascular index (CAVI) values in middle-aged and elderly inpatients . CAVI is a relatively new non-invasive indicator of arterial stiffness, reflecting the overall arterial elasticity from the origin of the aorta to the ankle artery. Pulse wave velocity (PWV) reflects central and peripheral muscular artery stiffness and is widely used as a marker of arterial stiffness. Brachial-ankle PWV (baPWV) measurement is closely correlated to aortic PWV. Some authors reported that baPWV was elevated in 512 patients with osteoporosis . However, given the relatively small sample size included, it is difficult to reflect the overall situation. These studies also paid more attention to the relationship between disease-related indicators rather than directly reflect the relationship between the two diseases. This retrospective study focuses on postmenopausal women in Fuzhou involving nearly 2,000 participants, which can represent, to a certain extent, the prevalence of osteoporosis in southeastern China. It also provides large sample size data for further investigating the relationship between osteoporosis and CVD in Chinese women.
This retrospective study was carried out from January 2007 to October 2019 with participants from Fuzhou, capital of Fujian Province. All participants were investigated in the Department of Osteoporosis of the Fujian Academy of Chinese Medical Sciences. The 2873 participants aged between 41 and 90 accepted the questionnaire survey, and 2039 natural postmenopausal women who met the criteria were included in this study. All subjects could provide complete medical records and sign informed consent independently.
All participants were excluded if they had hyperparathyroidism, diabetes, rheumatoid arthritis, or other endocrine and immune diseases that affect bone metabolism. Patients with severe liver, kidney or haematopoietic diseases and malignant tumours were also excluded. Further, none of the subjects had received osteoporosis treatment or other known drugs that affect bone metabolism. No potential subjects had missing key data. Written consent was necessary for all participants.
The data required for the study came from the questionnaire survey. General information, such as age, height, weight, blood pressure, menarche age, menopausal age, past medical history, and personal lifestyle, was collected and carefully filled in the unified form by trained physicians. Height and weight were measured without shoes, and the body mass index (BMI) was calculated. Before blood pressure measurement, participants needed to rest quietly for at least 5 min, empty their bladders, and not take any drugs. The data used were the average of two measurements.
Bone mineral density measurement
Dual-energy X-ray absorptiometry (DXA) (Discovery W, Hologic Inc., USA) was used to measure BMD of the lumbar spine and left femoral neck. The T score was calculated according to the reference range of the instrument manufacturer. The inspection was performed daily by the same professional physician. The coefficient of variation (CV) for repeated measurements was approximately 1.0%.
The diagnosis of osteoporosis was based on the T score in the lumbar spine or femoral neck. A T score ≤ − 2.5 indicates osteoporosis, osteopenia is diagnosed as − 2.5 < T score < − 1.0, and a T score ≥ − 1.0 indicates normal . All subjects were divided into the osteoporosis group and non-osteoporosis group according to their T score. Cardiovascular diseases were defined by asking participants at the first visit and checking relevant medical records if they had suffered from hypertension, coronary heart disease, or cerebral infarction, as indicated by International Statistical Classification of Diseases and Related Health Problems (ICD) (tenth revision, ICD-10). Hypertension (ICD-10 code I10) was defined as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg or intake of antihypertensive drugs. The diagnosis of coronary heart disease (ICD-10 code I25) was based on the guidelines of the European Society of Cardiology and Chinese Society of Cardiology of Chinese Medical Association: the subjects had discomfort related to myocardial ischaemia, including location, character, duration and relationship to exertion and other exacerbating or relieving factors. All subjects had a resting 12-lead ECG recorded allowing for detection of ST-segment changes [18, 19]. The patient was considered to have cerebral infarction (ICD-10 code I63) based on the guidelines of the American Heart Association/American Stroke Association: when no imaging evidence was available, the time limit for the duration of symptoms and signs exceeding 24 h was diagnosed as cerebral infarction . Lifestyle habits were investigated, such as drinking coffee, tea, and milk. Drinkers were defined as women consuming more than 200 ml of tea, coffee, and milk daily and non-drinkers as those consuming less than 200 ml daily or none at all.
EpiDate 2 (the EpiData Association, Odense M, Denmark) was used to enter and proofread data repeatedly, and SPSS 23.0(IBM,Inc., New York, USA) software was used to conduct all analyses. The results are expressed as the average standard deviation or quantity (percentage). We used the independent samples t-test or Mann-Whitney U-test according to whether the continuous variables conformed to the normal distribution. The Pearson chi-square test was used to measure the difference in frequency. Logistic regression analysis was confirmed with osteoporosis as a dependent variable to investigate the factors affecting osteoporosis. First, the independent variables were screened. Univariate regression analysis was used to exclude non-statistically significant variables (P > 0.05) and eliminate the mediator variables. Multicollinearity was assessed using stepwise regression. For continuous variables, the linear condition was assessed. The −2 log-likelihood ratio was used to test the overall significance of the model. The Hosmer-Lemeshow test evaluated the model’s goodness-of-fit. All statistical hypothesis tests were two-sided and performed at the 0.05 significance level.
Characteristics of subjects in the osteoporosis group and non-osteoporosis group
After excluding 834 participants who did not meet the criteria, 2039 subjects were included in the study. Among these 834 people, 64 were not menopausal, 393 were artificial menopausal, and the rest had other diseases that affect bone metabolism. There were 678 subjects in the osteoporosis group and 1361 subjects in the non-osteoporosis group. The age of the osteoporosis group was between 47 and 90, and the non-osteoporosis group was between 45 and 85. Statistically, the age and menarche age of subjects who suffered from osteoporosis were significantly older than those who did not, and the menopausal age was more advanced. They also had a lower height and lighter weight (P < 0.001). In addition, the BMD of the osteoporosis group was significantly lower than the that of the non-osteoporosis group (P < 0.001) (Table 1).
Comparison of influencing factors between the osteoporosis group and non-osteoporosis group
Comparing the influencing factors between the two groups indicated that patients in the osteoporosis group had a higher prevalence of hypertension and coronary heart disease (P < 0.05). Besides, the proportion of subjects who drank tea and drank milk were relatively higher in the osteoporosis group (P < 0.05) (Table 2).
Logistic regression analysis for the effect of independent variables
Univariate regression analysis was used to exclude non-statistically significant variables, including coffee consumption and cerebral infarction (P > 0.05). The variables selected for the regression model were age, height, weight, BMI, menarche age, menopausal age, drinking tea, drinking milk, hypertension, and coronary heart disease. Multivariate regression analysis showed that hypertension was a significant influencing factor for osteoporosis (P < 0.05). In addition, increased age, menarche age, and milk consumption were related to an increased risk of osteoporosis. Moreover, lower height, lighter weight, and earlier menopause may also be related to the increased risk of osteoporosis (Table 3).
With the prolongation of life expectancy, the incidence of CVD and osteoporosis is increasing. More evidence has shown common risk factors and similar pathological mechanisms between the two diseases . In this retrospective study, we found that there were 678 cases of osteoporosis among all the women who met the criteria, with a prevalence rate of 33.25%, which was similar to that reported in other studies [22, 23]. Among the 678 patients, 151 suffered from hypertension, and 50 suffered from coronary heart disease. The prevalence was significantly higher than that of non-osteoporosis. This illustrates that CVD may increase the risk of osteoporosis, which is consistent with previous studies [24,25,26]. To further investigate the factors causing this increased risk, we conducted a multivariate regression analysis and found that hypertension was related to an increased risk of osteoporosis. This indicated a significant association between hypertension and osteoporosis, suggesting that fracture and CVD prevention should be considered when treating osteoporosis. According to the results, drinking milk also increased the risk of osteoporosis, which was inconsistent with previous studies. This may be related to our failure to record the duration and quantity of milk.
Some studies have reported that low BMD is superior to traditional factors, such as hyperlipidaemia and smoking, in predicting the development of cardiovascular events [27, 28]. The lower BMD and increased bone loss rates were also associated with an increased risk of CVD in the Chinese cohort . Interestingly, a study showed a favourable relationship between a reduced risk of cardiovascular disease and BMD . Another study followed 6872 men and women for 5.7 years, and 196 developed myocardial infarction during this period. The results revealed that low hip BMD was an influencing factor for infarction . These studies showed the relationship between low BMD and CVD. Low BMD is a significant phenotype of osteoporosis, illustrating the relationship between osteoporosis and CVD.
Osteoporosis and CVD are common age-related diseases. As shown in the results, the risk of osteoporosis increased with age. Changes in oestrogen levels caused by menopause or ageing can directly affect blood vessel walls and bone metabolism . Bones and blood vessels are considered to be important targets for oestrogen, which can improve the function of endothelial cells and vascular smooth muscle cells, inhibit platelet aggregation, and affect blood vessel responses to injury [32, 33]. Similarly, oestrogen in serum can reduce the number and activity of osteoclasts and inhibit bone resorption. The decrease in oestrogen results in increased bone resorption [34,35,36]. In addition, the reduction may lead to an increase in proinflammatory cytokines, which are related to bone loss and severe arteriosclerosis [37, 38].
Disorders of lipid metabolism in postmenopausal women are closely related to bone dysfunction . Dyslipidaemia is also one of the pathogenic factors of hypertension, which may explain the relationship between osteoporosis and hypertension. Our results also showed that hypertension is a significant influencing factor for osteoporosis. Many clinical studies support the effect of lipid metabolism on osteoporosis . A survey of Chinese people showed that elevated levels of serum high-density lipoprotein cholesterol (HDL-C) led to higher risk of osteoporosis, but a higher HDL-C level was favourable for cardiovascular diseases . Another study indicated that femoral neck BMD in postmenopausal women was positively correlated with low-density lipoprotein cholesterol (LDL-C) and negatively correlated with HDL-C . Some clinical data from other populations also support this view [43,44,45]. An animal study demonstrated that an atherogenic diet could lead to lower bone mineral content (BMC) and BMD . Some cytokines secreted by adipose tissue have also been shown to be involved in the regulation of bone metabolism, such as leptin and adiponectin . All these studies illustrate the correlation between lipid and bone metabolism.
A limitation of this study is that it was a single-centre retrospective study with poor homogeneity, many confounding factors, and low evidence. Second, it was difficult to obtain a causal relationship between influencing factors and osteoporosis; thus, a prospective cohort study should be considered in the future. Third, the information related to cardiovascular disease came from medical records rather than immediate examination. Although we tried our best to obtain objective data, there were still some biases in personal lifestyle data. Further research needs to be performed based on this study.
In short, this observational study indicated an association between osteoporosis and CVD in Chinese postmenopausal women. Based on the results, cardiovascular assessment should be considered in patients with osteoporosis to prevent adverse events. This further supports the view that there is a biological link between the two.
Availability of data and materials
The datasets generated and/or analysed during the current study are not publicly available due to personal protection laws. Subsets or aggregation of these data will not include information that could compromise research participants’ privacy and are available from the corresponding author on reasonable request.
Bone morphogenetic proteins
Matrix protein Gla
Tumor necrosis factor-alpha
Bone mineral density
Dual-energy X-ray absorptiometry
Coefficient of variation
Body mass index
High-density lipoprotein cholesterol
Low-density lipoprotein cholesterol
Bone mineral content
Klibanski A, Adams-Campbell L, Bassford T, Blair SN, Boden SD, Dickersin K, Gifford DR, Glasse L, Goldring SR, Hruska K, Johnson SR. Osteoporosis prevention, diagnosis, and therapy. JAMA. 2001;285(6):785–95.
McFarlane SI, Muniyappa R, Shin JJ, Bahtiyar G, Sowers JR. Osteoporosis and cardiovascular disease: brittle bones and boned arteries, is there a link? Endocrine. 2004;23(1):1–10.
Rodríguez-Carrio J, Martínez-Zapico A, Cabezas-Rodríguez I, et al. Clinical and subclinical cardiovascular disease in female SLE patients: interplay between body mass index and bone mineral density. Nutr Metab Cardiovasc Dis. 2019;29(2):135–43.
Covic A, Vervloet M, Massy ZA, et al. Bone and mineral disorders in chronic kidney disease: implications for cardiovascular health and ageing in the general population. Lancet Diabetes Endocrinol. 2018;6(4):319–31.
Laroche M, Pécourneau V, Blain H, et al. Osteoporosis and ischemic cardiovascular disease. Joint Bone Spine. 2017;84(4):427–32.
Levinger I, Brennan-Speranza TC, Zulli A, et al. Multifaceted interaction of bone, muscle, lifestyle interventions and metabolic and cardiovascular disease: role of osteocalcin. Osteoporos Int. 2017;28(8):2265–73.
Schulz E, Arfai K, Liu X, Sayre J, Gilsanz V. Aortic calcification and the risk of osteoporosis and fractures. J Clin Endocrinol Metab. 2004;89(9):4246–53.
García-Gómez MC, Vilahur G. Osteoporosis and vascular calcification: a shared scenario. Clin Investig Arterioscler. 2020;32(1):33–42.
Veronese N, Stubbs B, Crepaldi G, et al. Relationship between low bone mineral density and fractures with incident cardiovascular disease: a systematic review and meta-analysis. J Bone Miner Res. 2017;32(5):1126–35.
Hofbauer L, Schoppet M. Clinical implications of the osteoprotegerin/RANKL/RANK system for bone and vascular diseases. JAMA. 2004;292(4):490–5.
Rajzbaum G, Bézie Y. Postmenopausal osteoporosis and atheroma. Joint Bone Spine. 2006;73(6):661–6.
Gaudio A, Xourafa A, Rapisarda R, Castellino P, Signorelli SS. Peripheral artery disease and osteoporosis: not only age-related (review). Mol Med Rep. 2018;18(6):4787–92.
Lello S, Capozzi A, Scambia G. Osteoporosis and cardiovascular disease: an update. Gynecol Endocrinol. 2015;31(8):590–4.
Zhou L, Song J, Yang S, et al. Bone mass loss is associated with systolic blood pressure in postmenopausal women with type 2 diabetes in Tibet: a retrospective cross-sectional study. Osteoporos Int. 2017;28(5):1693–8.
Zhang M, Bai L, Kang J, Ge J, Peng W. Links between arterial stiffness and bone mineral density in middle-aged and elderly Chinese individuals: a cross-sectional study. BMJ Open. 2019;9(8):e029946.
Yu X, Li X, Li Y, Liu T, Wang R. Neutrophil-lymphocyte ratio is associated with arterial stiffness in postmenopausal women with osteoporosis. Arch Gerontol Geriatr. 2015;61(1):76–80.
Kanis JA, Melton LJ 3rd, Christiansen C, Johnston CC, Khaltaev N. The diagnosis of osteoporosis. J Bone Miner Res. 1994;9(8):1137–41.
Fox K, Garcia MA, Ardissino D, et al. Guidelines on the management of stable angina pectoris: executive summary: the task force on the management of stable angina pectoris of the European Society of Cardiology. Eur Heart J. 2006;27(11):1341–81.
Chinese Society of Cardiology of Chinese Medical Association. Guideline for diagnosis and treatment of patients with chronic stable angina. Chin J Cardiol. 2007;35(3):195–206.
Sacco Ralph L, Adams R, Albers G, et al. Guidelines for prevention of stroke in patients with ischemic stroke or transient ischemic attack: a statement for healthcare professionals from the American Heart Association/American Stroke Association Council on Stroke: co-sponsored by the Council on Cardiovascular Radiology and Intervention: the American Academy of Neurology affirms the value of this guideline. Circulation. 2006;113(10):e409–49.
Baldini V, Mastropasqua M, Francucci C, D'Erasmo E. Cardiovascular disease and osteoporosis. J Endocrinol Investig. 2005;28:69–72.
Wang Y, Tao Y, Hyman M, Li J, Chen Y. Osteoporosis in China. Osteoporosis Int. 2009;20(10):1651–62.
Lo S. Bone health status of postmenopausal Chinese women. Hong Kong Med J. 2015;21(6):536–41.
Lampropoulos C, Kalamara P, Konsta M, et al. Osteoporosis and vascular calcification in postmenopausal women: a cross-sectional study. Climacteric. 2016;19(3):303–7.
Lian X, Zhang Y, Li X, Jing L, Cairang Z, Gou J. Exploration on the relationship between the elderly osteoporosis and cardiovascular disease risk factors. Eur Rev Med Pharmacol Sci. 2017;21(19):4386–90.
Tasić I, Popović M, Stojanović S, et al. Osteoporosis--a risk factor for cardiovascular diseases: a follow-up study. Srp Arh Celok Lek. 2015;143:28–34.
Jacqueline R. Fracture Burden: What two and a half decades of Dubbo osteoporosis epidemiology study data reveal about clinical outcomes of osteoporosis. Curr Osteoporosis Rep. 2017;15(2):1–8.
Zhang Y, Wang N, Ma J, Chen X, Li Z, Zhao W. Expression profile analysis of new candidate genes for the therapy of primary osteoporosis. Eur Rev Med Pharmacol Sci. 2016;20(3):433–40.
Shen C, Deng J, Zhou R, et al. Relation between bone mineral density, bone loss and the risk of cardiovascular disease in a Chinese cohort. Am J Cardiol. 2012;110(8):1138–42.
Chen G, Ding D, Tian H, et al. Adherence to the 2006 American Heart Association's diet and lifestyle recommendations for cardiovascular disease risk reduction is associated with bone mineral density in older Chinese. Osteoporosis Int. 2017;28(4):1295–303.
Wiklund P, Nordström A, Jansson JH, Weinehall L, Nordström P. Low bone mineral density is associated with increased risk for myocardial infarction in men and women. Osteoporos Int. 2012;23(3):963–70.
Knowlton A, Lee A. Estrogen and the cardiovascular system. Pharmacol Ther. 2012;135(1):54–70.
Mendelsohn M, Karas R. The protective effects of estrogen on the cardiovascular system. N Engl J Med. 1999;340(23):1801–11.
Cauley JA. Estrogen and bone health in men and women. Steroids. 2015;99(Pt A):11–5.
Khosla S, Monroe DG. Regulation of bone metabolism by sex steroids. Cold Spring Harb Perspect Med. 2018;8(1):a031211.
Vanderschueren D, Laurent MR, Claessens F, et al. Sex steroid actions in male bone. Endocr Rev. 2014;35(6):906–60.
Pfeilschifter J, Köditz R, Pfohl M, Schatz H. Changes in proinflammatory cytokine activity after menopause. Endocr Rev. 2002;23(1):90–119.
Baek K, Oh K, Lee W, et al. Changes in the serum sex steroids, IL-7 and RANKL-OPG system after bone marrow transplantation: influences on bone and mineral metabolism. Bone. 2006;39(6):1352–60.
Poiana C, Radoi V, Carsote M, Bilezikian JP. New clues that may link osteoporosis to the circulating lipid profile. Bone Res. 2013;1(3):260–6.
Tian L, Yu X. Lipid metabolism disorders and bone dysfunction--interrelated and mutually regulated (review). Mol Med Rep. 2015;12(1):783–94.
Li S, Guo H, Liu Y, et al. Relationships of serum lipid profiles and bone mineral density in postmenopausal Chinese women. Clin Endocrinol. 2015;82(1):53–8.
Zhang Q, Zhou J, Wang Q, et al. Association between bone mineral density and lipid profile in Chinese women. Clin Interv Aging. 2020;15:1649–64.
Sivas F, Alemdaroğlu E, Elverici E, Kuluğ T, Ozoran K. Serum lipid profile: its relationship with osteoporotic vertebrae fractures and bone mineral density in Turkish postmenopausal women. Rheumatol Int. 2009;29(8):885–90.
Ersoy GS, Simsek EE, Vatansever D, Kasikci HO, Keser B, Sakin O. Lipid profile and plasma atherogenic index in postmenopausal osteoporosis. North Clin Istanb. 2017;4(3):237–41.
Makovey J, Chen JS, Hayward C, Williams FM, Sambrook PN. Association between serum cholesterol and bone mineral density. Bone. 2009;44(2):208–13.
Parhami F, Tintut Y, Beamer WG, Gharavi N, Goodman W, Demer LL. Atherogenic high-fat diet reduces bone mineralization in mice. J Bone Miner Res. 2001;16(1):182–8.
We thank all the participants for their willingness to accept the questionnaire survey.
Funding for the study came from the National Natural Science Foundation of China (81674007, 81873323) and The Basic Research Projects of Fujian Provincial Public Welfare Research Institutes (2018R1035–4, 2018R1035–7). The funding body has no specific restrictions in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Ethics approval and consent to participate
All methods were carried out in accordance with the Declaration of Helsinki. This retrospective study performed using the data from the questionnaire survey. All participants signed informed consent to obtain necessary personal information when receiving free BMD measurement. The Ethics approval is not required involving the epidemiological studies of pre-existing material and information according to the Measures for Ethical Review of Biomedical Research Involving People (National Health and Family Planning Commission of the People’s Republic of China, http://www.gov.cn/gongbao/content/2017/content_5227817.htm) and the Ethics Committee of Clinical Research on Traditional Chinese Medicine of Fujian Academy of Chinese Medical Sciences, http://fjszyy.com/kxyj_ny.php?classid=274&infoid=759.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
About this article
Cite this article
Chai, H., Ge, J., Li, L. et al. Hypertension is associated with osteoporosis: a case-control study in Chinese postmenopausal women. BMC Musculoskelet Disord 22, 253 (2021). https://doi.org/10.1186/s12891-021-04124-9
- Cardiovascular disease
- Bone mineral density