1
|
Tong M, Li Y, Rong K, Sun Q, Dai J, Huang Y. Structural equation model analysis of the effect of visceral fat on osteoporosis. J Orthop Surg Res 2024; 19:408. [PMID: 39014367 PMCID: PMC11253341 DOI: 10.1186/s13018-024-04888-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 06/29/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND Osteoporosis is a considerable public health challenge in Moyu County, Xinjiang. Here, we evaluated the influencing factors of osteoporosis in this region. METHODS We recruited 7,761 participants and randomized them into normal and osteoporotic populations based on T-score. The effects of general conditions, body composition, calcium sources and exercise, respiratory exposure, and daily diet on osteoporosis were analyzed. Furthermore, a structural equation model was constructed to uncover the direct and indirect influencing factors of osteoporosis. RESULTS Among the participants, 1,803 (23.23%) had normal bone mass while 1,496 (19.28%) had osteoporosis. The univariate analysis showed significant differences in the general conditions, body composition, calcium sources and exercise, respiratory exposure, and daily diet. Stratification based on age (45 years) and body mass index (BMI) (18.5 kg/m2) showed variations in the body composition between the two groups; however, the visceral fat differed significantly. Logistic regression analysis affirmed the association of visceral fat index as it was included in all equations, except for age and female menopause. The structural equation exhibited that the general conditions, body composition, and, calcium sources, and exercise were direct factors of osteoporosis, while respiratory exposure and daily diet were indirect factors. The standardized path coefficient was highest in general conditions, followed by body composition, and lastly, calcium sources and exercise. CONCLUSION Obesity, besides age and female menopause, is also an influencing factor of osteoporosis. The visceral fat index plays a vital role in osteoporosis. Our findings may provide experimental evidence for early prevention and treatment of osteoporosis.
Collapse
Affiliation(s)
- Min Tong
- The Second Spine Department, Traditional Chinese Medicine Affiliated Hospital of Xinjiang Medical University, No. 116 Huanghe Road, Urumqi, 830000, China
| | - Yuanyuan Li
- School of Public Health, Xinjiang Medical University, Urumqi, 830011, China
| | - Kai Rong
- The Fourth Orthopedic Department, Traditional Chinese Medicine Affiliated Hospital of Xinjiang Medical University, Urumqi, 830000, China
| | - Qi Sun
- Medical Research Design and Data Analysis Center, Traditional Chinese Medicine Affiliated Hospital of Xinjiang Medical University, Urumqi, 830000, China
| | - Jianghong Dai
- School of Public Health, Xinjiang Medical University, Urumqi, 830011, China
| | - Yifei Huang
- The Second Spine Department, Traditional Chinese Medicine Affiliated Hospital of Xinjiang Medical University, No. 116 Huanghe Road, Urumqi, 830000, China.
| |
Collapse
|
2
|
Luo W, Wu J, Chen Z, Guo P, Zhang Q, Lei B, Chen Z, Li S, Li C, Liu H, Ma T, Liu J, Chen X, Ding Y. Evaluation of fragility fracture risk using deep learning based on ultrasound radio frequency signal. Endocrine 2024:10.1007/s12020-024-03931-z. [PMID: 38982023 DOI: 10.1007/s12020-024-03931-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/13/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND It was essential to identify individuals at high risk of fragility fracture and prevented them due to the significant morbidity, mortality, and economic burden associated with fragility fracture. The quantitative ultrasound (QUS) showed promise in assessing bone structure characteristics and determining the risk of fragility fracture. AIMS To evaluate the performance of a multi-channel residual network (MResNet) based on ultrasonic radiofrequency (RF) signal to discriminate fragility fractures retrospectively in postmenopausal women, and compared it with the traditional parameter of QUS, speed of sound (SOS), and bone mineral density (BMD) acquired with dual X-ray absorptiometry (DXA). METHODS Using QUS, RF signal and SOS were acquired for 246 postmenopausal women. An MResNet was utilized, based on the RF signal, to categorize individuals with an elevated risk of fragility fracture. DXA was employed to obtain BMD at the lumbar, hip, and femoral neck. The fracture history of all adult subjects was gathered. Analyzing the odds ratios (OR) and the area under the receiver operator characteristic curves (AUC) was done to evaluate the effectiveness of various methods in discriminating fragility fracture. RESULTS Among the 246 postmenopausal women, 170 belonged to the non-fracture group, 50 to the vertebral group, and 26 to the non-vertebral fracture group. MResNet was competent to discriminate any fragility fracture (OR = 2.64; AUC = 0.74), Vertebral fracture (OR = 3.02; AUC = 0.77), and non-vertebral fracture (OR = 2.01; AUC = 0.69). After being modified by clinical covariates, the efficiency of MResNet was further improved to OR = 3.31-4.08, AUC = 0.81-0.83 among all fracture groups, which significantly surpassed QUS-SOS (OR = 1.32-1.36; AUC = 0.60) and DXA-BMD (OR = 1.23-2.94; AUC = 0.63-0.76). CONCLUSIONS This pilot cross-sectional study demonstrates that the MResNet model based on the ultrasonic RF signal shows promising performance in discriminating fragility fractures in postmenopausal women. When incorporating clinical covariates, the efficiency of the modified MResNet is further enhanced, surpassing the performance of QUS-SOS and DXA-BMD in terms of OR and AUC. These findings highlight the potential of the MResNet as a promising approach for fracture risk assessment. Future research should focus on larger and more diverse populations to validate these results and explore its clinical applications.
Collapse
Affiliation(s)
- Wenqiang Luo
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Jionglin Wu
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Zhiwei Chen
- School of Biomedical Engineering, Health Science Center, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, 518060, P.R. China
| | - Peidong Guo
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Qi Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, National Innovation Center for Advanced Medical Devices, Shenzhen, 518126, China
| | - Baiying Lei
- School of Biomedical Engineering, Health Science Center, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, 518060, P.R. China
| | - Zhong Chen
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Shixun Li
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Changchuan Li
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Haoxian Liu
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China
- Bioland Laboratory, Guangzhou, 510320, P.R. China
| | - Teng Ma
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
- Key Laboratory of Biomedical Imaging Science and System, Chinese Academy of Sciences, National Innovation Center for Advanced Medical Devices, Shenzhen, 518126, China.
| | - Jiang Liu
- Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, P.R. China.
| | - Xiaoyi Chen
- Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315020, P.R. China.
| | - Yue Ding
- Department of Orthopedic Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, P.R. China.
- Bioland Laboratory, Guangzhou, 510320, P.R. China.
| |
Collapse
|
3
|
Chaudhary NK, Sunuwar DR, Sapkota MR, Pant S, Pradhan M, Bhandari KK. Prevalence of osteoporosis and associated factors among people aged 50 years and older in the Madhesh province of Nepal: a community-based cross-sectional study. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:100. [PMID: 38965638 PMCID: PMC11225282 DOI: 10.1186/s41043-024-00591-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 06/22/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND The high prevalence of osteoporosis has increased the economic burden on the health system globally. The burden of osteoporosis and its associated factors have not been adequately assessed in community settings in the Nepalese context thus far. Therefore, this study aimed to assess the prevalence of osteoporosis and its associated factors, lifestyle behaviors, and dietary calcium intake. METHODS A community-based cross-sectional study was conducted among 395 people aged 50 years and older in the Madhesh Province of Nepal between July 2022 and August 2023. The Osteoporosis Self-assessment Tools for Asians (OSTA) index was used to measure osteoporosis. A structured questionnaire was used to collect sociodemographic information, anthropometric data, lifestyle behavior, daily dietary calcium intake, and frequency of calcium-rich food consumption. A food frequency questionnaire and 24-hour recall methods were used to assess dietary intake. The chi-square test, binary logistic regression and Mann‒Whitney U test were applied to measure the association between predictors and the outcome of interest. RESULTS The prevalence of no risk, moderate risk and high risk of osteoporosis were 38.7%, 39%, and 22.3% respectively. The risk of osteoporosis was higher in females (aOR = 5.18, CI: 2.10-12.75, p < 0.001) and increased risk with advancing age (aOR = 32.49, CI: 14.02-75.28, p < 0.001). Similarly, underweight was associated with increased odds of having osteoporosis (aOR = 13.42, CI = 4.58-39.30, p < 0.001). The incidence of osteoporosis was strongly associated with daily calcium intake of 225 mg (100, 386). CONCLUSION This study revealed a high prevalence of osteoporosis among people aged 50 years and older due to the combined effect of being underweight and having inadequate calcium intake. Nutritional counselling services encourage people to consume sufficient calcium-rich food and adopt an appropriate lifestyle behaviours to maintain healthy body weight so that osteoporosis and osteoporotic fractures could be prevented. Further research can explore the impact of socioeconomic status and medical comorbidities on a large scale.
Collapse
Affiliation(s)
| | - Dev Ram Sunuwar
- Department of Nutritional Science, School of Public Health, University of Michigan, Ann Arbor, USA
| | | | - Suman Pant
- Nepal Health Research Council, Kathmandu, Nepal
| | - Mary Pradhan
- Kantipur Academy of Health Science, Kathmandu, Nepal
| | | |
Collapse
|
4
|
Tang N, Gao L, Song J, Li Y, Song M, Qiu C, Shao M, Chen J, Li S, Wang Q, Su Q, Gao Y. Risk analysis for subsequent fracture of osteoporotic fractures in Chinese women over age 60: a nationwide cross-sectional study. Sci Rep 2024; 14:13319. [PMID: 38858454 PMCID: PMC11164976 DOI: 10.1038/s41598-024-64170-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 06/05/2024] [Indexed: 06/12/2024] Open
Abstract
Prevention of subsequent fracture is a major public health challenge in the field of osteoporosis prevention and treatment, and older women are at high risk for osteoporotic fractures. This study aimed to examine factors associated with subsequent fracture in older Chinese women with osteoporosis. We collected data on 9212 older female patients with osteoporotic fractures from 580 medical institutions in 31 provinces of China. Higher odds of subsequent fractures were associated with age of 70-79 years (OR 1.218, 95% CI 1.049-1.414), age ≥ 80 (OR 1.455, 95% CI 1.222-1.732), index fracture site was vertebrae (OR 1.472, 95% CI 1.194-1.815) and hip (OR 1.286, 95% CI 1.041-1.590), index fracture caused by fall (OR 1.822, 95% CI 1.281-2.591), strain (OR 1.587, 95% CI 1.178-2.139), no inducement (OR 1.541, 95% CI 1.043-2.277), and assessed as high risk of fracture (OR 1.865, 95% CI 1.439-2.416), BMD T-score ≤ -2.5 (OR 1.725, 95% CI 1.440-2.067), history of surgery (OR 3.941, 95% CI 3.475-4.471) and trauma (OR 8.075, 95% CI 6.941-9.395). Low risk of fall (OR 0.681, 95% CI 0.513-0.904), use of anti-osteoporosis medication (AOM, OR 0.801, 95% CI 0.693-0.926), and women who had received fall prevention health education (OR 0.583, 95% CI 0.465-0.730) associated with lower risk. The areas under the curve of the prediction model was 0.818. The sensitivity was 67.0% and the specificity was 82.0%. The prediction model showed a good ability to predict the risk of subsequent fracture in older women with osteoporotic fractures and are suitable for early self-measurement which may benefit post-fracture management.
Collapse
Affiliation(s)
- Nan Tang
- PLA Medical School, PLA General Hospital, Beijing, 100853, China
- Department of Nursing, 1th Medical Center, PLA General Hospital, Beijing, 100853, China
| | - Ling Gao
- Department of Nursing, 1th Medical Center, PLA General Hospital, Beijing, 100853, China
| | - Jie Song
- Department of Nursing, 1th Medical Center, PLA General Hospital, Beijing, 100853, China
| | - Yeyuan Li
- Beijing Haidian District Wanshou Road Community Health Service Center, Beijing, 100017, China
| | - Mi Song
- PLA Medical School, PLA General Hospital, Beijing, 100853, China
| | - Chen Qiu
- Department of Nursing, 1th Medical Center, PLA General Hospital, Beijing, 100853, China
| | - Mengqi Shao
- PLA Medical School, PLA General Hospital, Beijing, 100853, China
| | - Jingru Chen
- PLA Medical School, PLA General Hospital, Beijing, 100853, China
| | - Shan Li
- PLA Medical School, PLA General Hospital, Beijing, 100853, China
| | - Qingmei Wang
- Central Patient Management Department, 1th Medical Center, PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, China.
| | - Qingqing Su
- Department of Nursing, 1th Medical Center, PLA General Hospital, Beijing, 100853, China.
| | - Yuan Gao
- Department of Nursing, 1th Medical Center, PLA General Hospital, Beijing, 100853, China.
| |
Collapse
|
5
|
Fan Y, Li Q, Liu Y, Miao J, Zhao T, Cai J, Liu M, Cao J, Xu H, Wei L, Li M, Shen C. Sex- and Age-Specific Prevalence of Osteopenia and Osteoporosis: Sampling Survey. JMIR Public Health Surveill 2024; 10:e48947. [PMID: 38578689 PMCID: PMC11031699 DOI: 10.2196/48947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 12/21/2023] [Accepted: 03/01/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Osteopenia and osteoporosis are posing a long-term influence on the aging population's health contributing to a higher risk of mortality, loss of autonomy, hospitalization, and huge health system costs and social burden. Therefore, more pertinent data are needed to demonstrate the current state of osteoporosis. OBJECTIVE This sampling survey seeks to assess the trends in the prevalence of osteopenia and osteoporosis in a Chinese Han population. METHODS A community-based cross-sectional study involving 16,377 participants used a multistage sampling method. Bone mineral density was measured using the quantitative ultrasonic densitometry. Student t test and Mann-Whitney U test were used to test the difference between normally and nonnormally distributed quantitative variables between male and female participants. A chi-square (χ2) test was used to compare categorized variables. Stratified analysis was conducted to describe the prevalence rates of osteoporosis (T score ≤-2.5) and osteopenia (T score -2.5 to -1.0) across age, sex, calcium intake, and menopause. A direct standardization method was used to calculate the age-standardized prevalence rates of osteoporosis and osteopenia. T-score was further categorized into quartiles (T1-T4) by age- and sex-specified groups. RESULTS The prevalence rates of osteopenia and osteoporosis were 40.5% (6633/16,377) and 7.93% (1299/16,377), respectively, and the age-standardized prevalence rates were 27.32% (287,877,129.4/1,053,861,940) and 3.51% (36,974,582.3/1,053,861,940), respectively. There was an increase in osteopenia and osteoporosis prevalence from 21.47% (120/559) to 56.23% (754/1341) and 0.89% (5/559) to 17.23% (231/1341), respectively, as age increased from 18 years to 75 years old. The prevalence rates of osteopenia and osteoporosis were significantly higher in female participants (4238/9645, 43.94% and 1130/9645, 11.72%) than in male participants (2395/6732, 35.58% and 169/6732, 2.51%; P<.001), and in postmenopausal female participants (3638/7493, 48.55% and 1053/7493, 14.05%) than in premenopausal female participants (538/2026, 26.55% and 53/2026, 2.62%; P<.001). In addition, female participants with a history of calcium intake had a lower osteoporosis prevalence rate than female participants without any history of calcium intake in all age groups (P=.004). From low quartile to high quartile of T-score, the prevalence of diabetes mellitus (752/4037, 18.63%; 779/4029, 19.33%; 769/3894, 19.75%; and 869/3879, 22.4%) and dyslipidemia (2228/4036, 55.2%; 2304/4027, 57.21%; 2306/3891, 59.26%; and 2379/3878, 61.35%) were linearly increased (P<.001), while the prevalence of cancer (112/4037, 2.77%; 110/4029, 2.73%; 103/3894, 2.65%; and 77/3879, 1.99%) was decreased (P=.03). CONCLUSIONS Our data imply that as people age, osteopenia and osteoporosis are more common in females than in males, particularly in postmenopausal females than in premenopausal females, and bone mineral density significantly affects the prevalence of chronic diseases. These findings offer information that can be applied to intervention programs meant to prevent or lessen the burden of osteoporosis in China.
Collapse
Affiliation(s)
- Yao Fan
- Division of Clinical Epidemiology, Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Qun Li
- Department of Nutrition, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Liu
- Institute for the Prevention and Control of Chronic Non-communicable Diseases, Center for Disease Control and Prevention of Jurong City, Jurong, China
| | - Jing Miao
- Department of Clinical Nutrition, Affiliated Sir Run Run Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Zhao
- Department of Nutrition, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinxin Cai
- Department of Nutrition, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Min Liu
- Institute for the Prevention and Control of Chronic Non-communicable Diseases, Center for Disease Control and Prevention of Jurong City, Jurong, China
| | - Jun Cao
- Institute for the Prevention and Control of Chronic Non-communicable Diseases, Center for Disease Control and Prevention of Jurong City, Jurong, China
| | - Haifeng Xu
- Institute for the Prevention and Control of Chronic Non-communicable Diseases, Center for Disease Control and Prevention of Jurong City, Jurong, China
| | - Lai Wei
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Mengxia Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| |
Collapse
|
6
|
Ren X, Hu C, Wang W, He Q, Du L, Li T, Pan Y, Chen S, Zhang X. Association between physical activity, sedentary behavior patterns with bone health among Chinese older women. Bone 2024; 181:117025. [PMID: 38272435 DOI: 10.1016/j.bone.2024.117025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 01/14/2024] [Accepted: 01/22/2024] [Indexed: 01/27/2024]
Abstract
INTRODUCTION We examined the association between physical activity (PA) and sedentary behavior (SEB) time with bone health and whether it changes depending on different patterns. MATERIALS AND METHODS Cross-sectional data were derived from the baseline of the Physical Activity and Health in Older Women Study. PA and SEB were measured using Actigraph wGT3X-BT accelerometers. Bone mineral density (BMD) was derived from the SONOST-2000 ultrasound bone densitometer, with unhealthy bone defined as a BMD T-score of <2.5 standard deviation a young adult reference population's mean. A 10 min-bouted SEB was defined as an SEB duration of >10 min (allow 2 min 0 counts), similar to 30 min-bouted and 60 min-bouted SEBs. Sporadic and bouted PAs were defined by PA duration of <10 min or ≥ 10 min. Multivariate logistic regression analysis investigated the associations between PA and SEB patterns with bone health. RESULTS Among 1111 female participants, 42.12 % had unhealthy bones. In a fully-adjusted model, increasing 30 min/day of SEB was associated with a higher odds ratio (OR) for an unhealthy bone (OR, 1.08; P = 0.005), similar to the 10 (OR, 1.06; P = 0.012), 30 (OR, 1.06; P = 0.043), and 60 min-bouted (OR 1.08, P = 0.032) SEBs. Total light PA (LPA) time (OR, 0.97; P = 0.005) had a lower OR for unhealthy bone. After adjusting for sporadic LPA time, bouted LPA (OR, 0.97; P = 0.005) retained this association. No association was observed between total moderate-to-vigorous PA (MVPA) and bone health, sporadic MVPA, and bouted MVPA. CONCLUSIONS Performing bouted LPA and reducing 10 min-bouted SEB may maintain bone health.
Collapse
Affiliation(s)
- Xiaoyu Ren
- School of Physical Education, Shandong University, Jinan, China
| | - Chuan Hu
- Shandong Provincial Third Hospital, Jinan, China
| | - Wenbo Wang
- Zaozhuang Vocational College of Science and Technology, Zaozhuang, China
| | - Qiang He
- School of Physical Education, Shandong University, Jinan, China
| | - Litao Du
- School of Physical Education, Shandong University, Jinan, China
| | - Ting Li
- School of Physical Education, Shandong University, Jinan, China
| | - Yang Pan
- School of Physical Education, Shandong University, Jinan, China
| | - Si Chen
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xianliang Zhang
- School of Physical Education, Shandong University, Jinan, China.
| |
Collapse
|
7
|
Zhang YY, Xie N, Sun XD, Nice EC, Liou YC, Huang C, Zhu H, Shen Z. Insights and implications of sexual dimorphism in osteoporosis. Bone Res 2024; 12:8. [PMID: 38368422 PMCID: PMC10874461 DOI: 10.1038/s41413-023-00306-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 11/04/2023] [Accepted: 11/27/2023] [Indexed: 02/19/2024] Open
Abstract
Osteoporosis, a metabolic bone disease characterized by low bone mineral density and deterioration of bone microarchitecture, has led to a high risk of fatal osteoporotic fractures worldwide. Accumulating evidence has revealed that sexual dimorphism is a notable feature of osteoporosis, with sex-specific differences in epidemiology and pathogenesis. Specifically, females are more susceptible than males to osteoporosis, while males are more prone to disability or death from the disease. To date, sex chromosome abnormalities and steroid hormones have been proven to contribute greatly to sexual dimorphism in osteoporosis by regulating the functions of bone cells. Understanding the sex-specific differences in osteoporosis and its related complications is essential for improving treatment strategies tailored to women and men. This literature review focuses on the mechanisms underlying sexual dimorphism in osteoporosis, mainly in a population of aging patients, chronic glucocorticoid administration, and diabetes. Moreover, we highlight the implications of sexual dimorphism for developing therapeutics and preventive strategies and screening approaches tailored to women and men. Additionally, the challenges in translating bench research to bedside treatments and future directions to overcome these obstacles will be discussed.
Collapse
Affiliation(s)
- Yuan-Yuan Zhang
- Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China
| | - Na Xie
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Xiao-Dong Sun
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Edouard C Nice
- Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC, 3800, Australia
| | - Yih-Cherng Liou
- Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, 117543, Republic of Singapore
| | - Canhua Huang
- Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China
| | - Huili Zhu
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, Department of Reproductive Medicine, West China Second University Hospital of Sichuan University, Chengdu, China.
| | - Zhisen Shen
- Department of Otorhinolaryngology and Head and Neck Surgery, The Affiliated Lihuili Hospital, Ningbo University, 315040, Ningbo, Zhejiang, China.
| |
Collapse
|
8
|
Li RX, Xu N, Guo YN, Wang Y, Liang YW, Zhou XL, Jiang WT, Wei JX, Zhang XY, Zhou LN, Zhu L, Zhou YM, Xu J. Hemoglobin is associated with BMDs and risk of the 10-year probability of fractures in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2024; 15:1305713. [PMID: 38323109 PMCID: PMC10846305 DOI: 10.3389/fendo.2024.1305713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 01/02/2024] [Indexed: 02/08/2024] Open
Abstract
Purpose This study aimed to investigate the associations between hemoglobin (HGB) levels and bone mineral density (BMD) and fracture risk in type 2 diabetes mellitus(T2DM) population of different ages. Method This cross-sectional study included 641 patients with T2DM (57.9% males). BMD of the femoral neck (FN), total hip (TH), and lumbar spine (LS) were measured using dual-energy X-ray absorptiometry. The 10-year probability of fracture was assessed using a fracture risk assessment tool (FRAX). HGB and other biochemical indices were measured in a certified laboratory at our hospital. Statistical analysis was performed using SPSS 26.0 and R language (R version 4.1.0). Generalized additive models (GAMs) were used to identify the associations between HGB and BMD and fracture risk. Results Patients with osteoporosis have lower HGB levels than the non-osteoporotic population and lower FN BMD in patients with anemia than in the non-anemic population. In patients with T2DM, there was sex- and age-related variability in the correlation between HGB levels and BMDs and fracture risk. In older men, HGB level was an independent determinant of BMD and was positively correlated with FN and TH BMD. In non-older women, HGB level was an independent determinant of BMD and fracture risk, positively associated with BMDs and negatively associated with 10-year probability of fracture risk. GAMs revealed a positive linear association between HGB level and BMDs in non-older female patients but not in older male patients. Conclusion Our study provides a new perspective on the association of HGB level and BMDs with fracture risk. Relatively high HGB levels are a protective factor for bone quality in patients with T2DM. However, the bone-protective effect of HGB is influenced by age and sex and persists only in older men and non-older women with T2DM.
Collapse
Affiliation(s)
- Ren-xuan Li
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Na Xu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Yu-ning Guo
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Yan Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Yan-wei Liang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Xiao-lian Zhou
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Wen-tong Jiang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Jian-xia Wei
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Xin-yuan Zhang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| | - Li-na Zhou
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Lei Zhu
- Department of Endocrinology, Shandong Provincial Third Hospital, Jinan, Shandong, China
| | - Yan-man Zhou
- Department of Nephrology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jin Xu
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Endocrinology, Shandong Clinical Research Center of Diabetes and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Institute of Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, “Chuangxin China” Innovation Base of Stem Cell and Gene Therapy for Endocrine Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Laboratory of Prevention and Control for Endocrine and Metabolic Diseases, Jinan, Shandong, China
- Department of Endocrinology, Shandong Engineering Research Center of Stem Cell and Gene Therapy for Endocrine and Metabolic Diseases, Jinan, Shandong, China
| |
Collapse
|
9
|
Cui G, Xu N, Zhao S, Chen R, Liu Q, Liu X, Kuang M, Han S. TC and LDL-C are negatively correlated with bone mineral density in patients with osteoporosis. Am J Transl Res 2024; 16:163-178. [PMID: 38322569 PMCID: PMC10839398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 12/10/2023] [Indexed: 02/08/2024]
Abstract
OBJECTIVE To investigate the relationships of multiple lipid metabolism indicators and bone turnover markers (BTMs) with bone mineral density (BMD) and osteoporosis, in order to identify high-risk populations. METHODS A total of 380 patients were recruited and their general information was collected. Linear and logistic regression models were used to analyze the correlation of these indicators with BMD and osteoporosis. RESULTS Lipid metabolism indices and BTMs exhibited varying degrees of positive or negative correlation with BMD. Elevated levels of triglycerides (r = -0.204, P = 0.004), total cholesterol (TC) (r = -0.244, P < 0.001), low-density lipoprotein cholesterol (LDL-C) (r = -0.256, P < 0.001), apoprotein B (r = -0.292, P < 0.001) and lipoprotein-associated phospholipase A2 (Lp-PLA2) (r = -0.221, P = 0.002) in women were associated with a reduction in BMD. This relationship persisted even after adjusting for confounding factors and in the subgroup analysis of elderly women. In males, TC (r = 0.159, P = 0.033), LDL-C (r = 0.187, P = 0.012), apoprotein B (r = 0.157, P = 0.035), and Lp-PLA2 (r = 0.168, P = 0.024) exhibited a positive correlation with BMD, while free fatty acid (FFA) (r = -0.153, P = 0.041) was negatively correlated with BMD. However, after adjusting for confounding factors, only FFA remained negatively correlated with BMD, which was not observed in the age subgroup analysis. Furthermore, elevated levels of TC and LDL-C in elderly women were positively associated with the risk of osteoporosis or low bone mass. CONCLUSION Elevated levels of TC and LDL-C not only indicate a decrease in BMD in females but also positively correlate with the occurrence of osteoporosis and low bone mass in elderly females.
Collapse
Affiliation(s)
- Guanzheng Cui
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
| | - Ning Xu
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
| | - Shengyin Zhao
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
| | - Rudong Chen
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
| | - Qian Liu
- Department of Pain, Qilu Hospital, Shandong UniversityJinan, Shandong, China
| | - Xuchang Liu
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
| | - Mingjie Kuang
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
- Key Laboratory of Biopharmaceuticals, Postdoctoral Scientific Research Workstation, Shandong Academy of Pharmaceutical ScienceJinan, Shandong, China
| | - Shijie Han
- Department of Spinal Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinan, Shandong, China
| |
Collapse
|
10
|
Zhang B, Chen Z, Yan R, Lai B, Wu G, You J, Wu X, Duan J, Zhang S. Development and Validation of a Feature-Based Broad-Learning System for Opportunistic Osteoporosis Screening Using Lumbar Spine Radiographs. Acad Radiol 2024; 31:84-92. [PMID: 37495426 DOI: 10.1016/j.acra.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/28/2023]
Abstract
RATIONALE AND OBJECTIVES Osteoporosis is primarily diagnosed using dual-energy X-ray absorptiometry (DXA); yet, DXA is significantly underutilized, causing osteoporosis, an underdiagnosed condition. We aimed to provide an opportunistic approach to screen for osteoporosis using artificial intelligence based on lumbar spine X-ray radiographs. MATERIALS AND METHODS In this institutional review board-approved retrospective study, female patients aged ≥50 years who received both X-ray scans and DXA of the lumbar vertebrae, in three centers, were included. A total of 1180 cases were used for training and 145 cases were used for testing. We proposed a novel broad-learning system (BLS) and then compared the performance of BLS models using radiomic features and deep features as a source of input. The deep features were extracted using ResNet18 and VGG11, respectively. The diagnostic performances of these BLS models were evaluated with the area under the curve (AUC), sensitivity, and specificity. RESULTS The incidence rate of osteoporosis in the training and test sets was 35.9% and 37.9%, respectively. The radiomic feature-based BLS model achieved higher testing AUC (0.802 vs. 0.654 vs. 0.632, both P = .002), sensitivity (78.2% vs. 56.4% vs. 50.9%), and specificity (82.2% vs. 74,4% vs. 75.6%) than the two deep feature-based BLS models. CONCLUSION Our proposed radiomic feature-based BLS model has the potential to expand osteoporosis screening to a broader population by identifying osteoporosis on lumbar spine X-ray radiographs.
Collapse
Affiliation(s)
- Bin Zhang
- Department of Radiology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Tianhe District, Guangzhou, Guangdong 510627, China (B.Z., R.Y., J.Y., X.W., S.Z.)
| | - Zhangtianyi Chen
- College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China (Z.C., B.L., G.W., J.D.)
| | - Ruike Yan
- Department of Radiology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Tianhe District, Guangzhou, Guangdong 510627, China (B.Z., R.Y., J.Y., X.W., S.Z.)
| | - Bifan Lai
- College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China (Z.C., B.L., G.W., J.D.)
| | - Guangheng Wu
- College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China (Z.C., B.L., G.W., J.D.)
| | - Jingjing You
- Department of Radiology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Tianhe District, Guangzhou, Guangdong 510627, China (B.Z., R.Y., J.Y., X.W., S.Z.)
| | - Xuewei Wu
- Department of Radiology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Tianhe District, Guangzhou, Guangdong 510627, China (B.Z., R.Y., J.Y., X.W., S.Z.)
| | - Junwei Duan
- College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China (Z.C., B.L., G.W., J.D.); Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Jinan University, Guangzhou, Guangdong, China (J.D.)
| | - Shuixing Zhang
- Department of Radiology, The First Affiliated Hospital of Jinan University, No. 613 Huangpu West Road, Tianhe District, Guangzhou, Guangdong 510627, China (B.Z., R.Y., J.Y., X.W., S.Z.).
| |
Collapse
|
11
|
Liu X, Jiang C, Fan R, Liu T, Li Y, Zhong D, Zhou L, Liu T, Li J, Jin R. The effect and safety of Tai Chi on bone health in postmenopausal women: A meta-analysis and trial sequential analysis. Front Aging Neurosci 2022; 14:935326. [PMID: 36177477 PMCID: PMC9513206 DOI: 10.3389/fnagi.2022.935326] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/01/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundTai Chi may be a promising exercise to prevent and control bone loss in postmenopausal women. This meta-analysis and trial sequential analysis aimed to evaluate the effect and safety of Tai Chi on bone health in postmenopausal women.MethodSeven databases were searched from their inceptions to 11 May 2022 to collect randomized controlled trials (RCTs) investigating the effect and safety of Tai Chi on bone health in postmenopausal women. Two independent reviewers identified the eligible studies, extracted data, and assessed the risk of bias of included studies using the revised Cochrane risk-of-bias tool for randomized trials. The primary outcome was the bone mineral density (BMD), and secondary outcomes included bone turnover markers and calcaneus quantitative ultrasound. Subgroup analyses were conducted based on the duration of Tai Chi. Sensitivity analyses and publication bias assessment were performed. RevMan software (version 5.4.1) and R software (version 3.6.1) were used for data synthesis. The certainty of evidence was rated with the Grading of recommendations assessment, development, and evaluation (GRADE) system. We also performed the trial sequential analysis to evaluate the reliability of the evidence.ResultsA total of 25 reports involving 24 studies were included. Four studies were considered as high overall risk of bias, and the rest were some concerns. Among included studies, there were three comparisons including Tai Chi vs. non-intervention, Tai Chi vs. other exercises, and Tai Chi plus nutraceutical vs. nutraceutical. Compared with non-intervention, Tai Chi was more effective to improve BMD of lumbar spine (MD = 0.04, 95% CI 0.02 to 0.07, I2 = 0%, low certainty), femoral neck (MD = 0.04, 95% CI 0.02 to 0.06, I2 = 0%, low certainty), and trochanter (MD = 0.02, 95% CI 0.00 to 0.03, I2 = 0%, very low certainty), but there was no significant difference in increasing the BMD of Ward's triangle (MD = 0.02, 95% CI −0.01 to 0.04, I2 = 0%, very low certainty). Trial sequential analysis showed that the effect of Tai Chi vs. non-intervention on the BMD of lumbar spine and femoral neck was reliable, but the effect on the BMD of trochanter and Ward's triangle needed further verification. The subgroup analyses suggested that Tai Chi training for over 6 months had greater improvement in BMD of the lumbar spine, femoral neck, and trochanter than non-intervention. No significant differences were observed in the above outcomes of Tai Chi vs. other exercises, and Tai Chi plus nutraceutical vs. nutraceutical. There was insufficient evidence to support the effect of Tai Chi on bone turnover markers and calcaneus quantitative ultrasound. Few Tai Chi relevant adverse events occurred.ConclusionTai Chi may be an optional and safe exercise for improving BMD loss in postmenopausal women, and practicing Tai Chi for more than 6 months may yield greater benefits. However, more rigorously designed RCTs are required to verify the benefits and to explore the optimal protocol of Tai Chi exercise for bone health.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=309148, identifier: CRD42022309148.
Collapse
Affiliation(s)
- Xiaobo Liu
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Chengzhi Jiang
- Department of Rehabilitation Medicine, Sichuan Science City Hospital, Mianyang, China
| | - Rong Fan
- Department of Rehabilitation Medicine, Nanbu County People's Hospital, Nanchong, China
| | - Tianyu Liu
- School of Sport and Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuxi Li
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Dongling Zhong
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Luxiang Zhou
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tao Liu
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Juan Li
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Juan Li
| | - Rongjiang Jin
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Integrated Traditional Chinese and Western Medicine Hospital of Panzhihua City, Panzhihua, China
- Rongjiang Jin
| |
Collapse
|
12
|
Yuan J, Peng L, Luan F, Li J, Zhang J, Jiang W, Wang W. Causal Effects of Genetically Predicted Cystatin C on Osteoporosis: A Two-Sample Mendelian Randomization Study. Front Genet 2022; 13:849206. [PMID: 35646051 PMCID: PMC9136661 DOI: 10.3389/fgene.2022.849206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/19/2022] [Indexed: 11/21/2022] Open
Abstract
Objectives: Although it has long been reported that high levels of cystatin C could contribute to the development of osteoporosis in some studies, no evidence has established a causal association between them thus far. Methods: A Mendelian randomization (MR) study was conducted to determine the causal effect of cystatin C on osteoporosis based on public databases obtained from separately published genome-wide association studies (GWASs). The single-nucleotide polymorphisms (SNPs) for cystatin C were extracted from the MR-Base (CKDGen, 33,152 participants), and the SNPs for osteoporosis were extracted from the United Kingdom Biobank project (United Kingdom Biobank, including 5,266 osteoporosis cases and 331,893 controls). We defined the odds ratio (OR) of IVW methods as the primary outcome. In addition, weighted median and MR-Egger regressions were used in the sensitivity analysis. Results: In IVW, we found that genetically predicted cystatin C was causally associated with the risk of osteoporosis with an OR of 1.02 [95% confidence interval (CI) = 1.003-1.025, p = 0.01]. In the further sensitivity analysis, weighted median regression also showed directionally similar estimates (OR = 1.02, 95% CI = 1.005-1.03, p = 0.005), and MR-Egger regression (OR = 1.02, 95% CI = 1.000-1.036, p = 0.15) revealed similar estimates but with lower precision. The funnel plot, MR-Egger intercept, and MR-PRESSO all indicate that no directional pleiotropic effect was observed. Conclusion: In conclusion, our MR study showed evidence of a causal association between serum cystatin C levels and osteoporosis, which also needs to be verified by studies with larger sample sizes in the future. Early monitoring of cystatin C may enable us to prevent osteoporosis-related diseases.
Collapse
Affiliation(s)
- Jiaqin Yuan
- Department of Orthopedics, The Second People's Hospital of Yibin, Yibin, China.,Department of Orthopedics, Yibin Hospital, West China Hospital of Sichuan University, Yibin, China
| | - Lipeng Peng
- Department of Orthopedics, The Second People's Hospital of Yibin, Yibin, China.,Department of Orthopedics, Yibin Hospital, West China Hospital of Sichuan University, Yibin, China
| | - Fujun Luan
- Trauma Orthopaedics, Yongchuan Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Li
- Department of Orthopedics, The Second People's Hospital of Yibin, Yibin, China.,Department of Orthopedics, Yibin Hospital, West China Hospital of Sichuan University, Yibin, China
| | - Jinglin Zhang
- Public Health, Chongqing Medical University, Chongqing, China
| | - Wei Jiang
- Department of Orthopedics, The Second People's Hospital of Yibin, Yibin, China.,Department of Orthopedics, Yibin Hospital, West China Hospital of Sichuan University, Yibin, China
| | - Wenting Wang
- Department of Anesthesiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| |
Collapse
|