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Association between prior cancer diagnosis and osteoporosis: a matched case-control study. Arch Osteoporos 2022; 17:112. [PMID: 35960383 DOI: 10.1007/s11657-022-01152-3] [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: 03/27/2022] [Accepted: 07/26/2022] [Indexed: 02/03/2023]
Abstract
Epidemiological studies show an inconsistent association between cancer and osteoporosis. In this nationally representative population-based study, we found that a prior cancer diagnosis was not associated with osteoporosis. This finding may primarily apply to cancer survivors seen many years after their cancer diagnosis. BACKGROUND Epidemiological studies show an inconsistent association between cancer and osteoporosis. We examined the association between a prior cancer diagnosis and osteoporosis in population-based data. METHODS We performed an age- and sex-matched case-control study (1:2 matching ratio) using the National Health and Nutrition Examination Survey, 2011-2018. Cases were determined by self-reported prior diagnosis of cancer; all controls were free of cancer at the time of bone density measurement with dual-energy x-ray absorptiometry. We defined osteoporosis as a T-score ≤ - 2.5 at femoral neck, total hip, or lumbar spine. Unconditional multivariable logistic regression was used to test the association between a prior cancer diagnosis and osteoporosis. RESULTS We identified 246 prior cancer cases and 492 controls (mean age: 65.8 years) in females, and 243 prior cancer cases and 486 controls (mean age: 68.0 years) in males. The most common types of cancer in females and males were breast cancer and prostate cancer, respectively. Osteoporosis prevalences were comparable between cases and controls among females (19.1% in cases vs. 18.7% in controls; P = 0.894) and males (5.8% in cases vs. 6.8% in controls; P = 0.594). After adjusting for covariates, a prior cancer diagnosis was not associated with osteoporosis in females (odds ratio [OR]: 0.83; 95% confidence interval [CI]: 0.54-1.29) or males (OR: 1.09; 95% CI: 0.51-2.30). Results were unaffected by cancer severity, cancer type, or time since cancer diagnosis. CONCLUSIONS A prior cancer diagnosis was not associated with osteoporosis in this nationally representative population.
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Wung CH, Chung CY, Wu PY, Huang JC, Tsai YC, Chen SC, Chiu YW, Chang JM. Associations between Metabolic Syndrome and Obesity-Related Indices and Bone Mineral Density T-Score in Hemodialysis Patients. J Pers Med 2021; 11:jpm11080775. [PMID: 34442419 PMCID: PMC8402197 DOI: 10.3390/jpm11080775] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/03/2021] [Accepted: 08/08/2021] [Indexed: 12/15/2022] Open
Abstract
Previous studies have reported inconsistent results regarding the associations between metabolic syndrome (MetS) and obesity-related indices and bone mineral density (BMD). However, no previous studies have reported these associations among hemodialysis (HD) patients. The aims of this study were to investigate associations between MetS and its components and BMD T-score in HD patients and also between obesity-related indices and BMD T-score in HD patients with and without MetS. MetS was defined according to the Adult Treatment Panel III for Asians, and BMD T-score was calculated using dual-energy X-ray absorptiometry. Eight obesity-related indices were evaluated, including lipid accumulation product (LAP), visceral adiposity index (VAI), body adiposity index, conicity index (CI), body roundness index (BRI), abdominal volume index (AVI), waist-to-height ratio (WHtR), waist–hip ratio, and body mass index (BMI). One hundred and sixty-four patients undergoing HD were enrolled, and the prevalence of MetS was 61.6%. MetS was significantly associated with high lumbar spine and total hip T-scores. Regarding the MetS components, abdominal obesity and low HDL-C were significantly associated with high lumbar spine, femoral neck, and total hip T-scores; hypertriglyceridemia was significantly associated with high lumbar spine and total hip T-scores; hyperglycemia was significantly associated with a high lumbar spine T-score, whereas high blood pressure was not associated with T-score at any site. In the patients with MetS, BMI, WHtR, AVI, and BRI were significantly associated with T-score at all sites, and high CI, VAI, and LAP were also related to a high lumbar T-score. However, these indices were not associated with T-score at any site in patients without MetS. This study demonstrated positive associations between MetS and its five components and BMD T-score among HD patients. MetS, abdominal obesity, hypertriglyceridemia, and low HDL-cholesterol were associated with low risk of osteoporosis among the HD patients. Furthermore, we found that some obesity-related indices were associated with BMD T-score among HD patients with MetS but not in those without MetS. Our study highlights the importance of BMI, WHtR, AVI, and BRI in predicting the risk of osteoporosis among HD patients with MetS. In clinical practice, they can be easily calculated through simple anthropometric measurements and routine laboratory examinations and be used to quickly and conveniently assess the risk of osteoporosis among HD patients.
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Affiliation(s)
- Chih-Hsuan Wung
- Department of Post Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Cheng-Yin Chung
- Division of Nephrology, Department of Internal Medicine, Ministry of Health and Welfare, Pingtung Hospital, Pingtung 900, Taiwan;
| | - Pei-Yu Wu
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (P.-Y.W.); (J.-C.H.); (Y.-C.T.); (Y.-W.C.); (J.-M.C.)
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, 482, Shan-Ming Rd., Hsiao-Kang Dist., Kaohsiung 812, Taiwan
| | - Jiun-Chi Huang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (P.-Y.W.); (J.-C.H.); (Y.-C.T.); (Y.-W.C.); (J.-M.C.)
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, 482, Shan-Ming Rd., Hsiao-Kang Dist., Kaohsiung 812, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Yi-Chun Tsai
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (P.-Y.W.); (J.-C.H.); (Y.-C.T.); (Y.-W.C.); (J.-M.C.)
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Szu-Chia Chen
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (P.-Y.W.); (J.-C.H.); (Y.-C.T.); (Y.-W.C.); (J.-M.C.)
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, 482, Shan-Ming Rd., Hsiao-Kang Dist., Kaohsiung 812, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Correspondence: ; Tel.: +886-7-8036783-3440; Fax: +886-7-8063346
| | - Yi-Wen Chiu
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (P.-Y.W.); (J.-C.H.); (Y.-C.T.); (Y.-W.C.); (J.-M.C.)
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Jer-Ming Chang
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (P.-Y.W.); (J.-C.H.); (Y.-C.T.); (Y.-W.C.); (J.-M.C.)
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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Chi JH, Shin MS, Lee BJ. Identification of hypertriglyceridemia based on bone density, body fat mass, and anthropometry in a Korean population. BMC Cardiovasc Disord 2019; 19:66. [PMID: 30902041 PMCID: PMC6431057 DOI: 10.1186/s12872-019-1050-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 03/15/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Hypertriglyceridemia is strongly associated with the risks of cardiovascular disease, coronary heart disease, and metabolic syndrome. The relationship between hypertriglyceridemia or high triglyceride levels and bone mineral density remains controversial. Furthermore, to date, no study has simultaneously examined the association among hypertriglyceridemia, bone area, bone mineral content, bone mineral density, body fat mass, and anthropometrics. The present study aimed to evaluate the association among hypertriglyceridemia, anthropometrics and various bone density and body fat composition variables to identify the best indicator of hypertriglyceridemia in a Korean population. METHODS The data were obtained from the fifth Korea National Health and Nutrition Examination Survey. In total, 3918 subjects aged 20-80 years participated in this study. In the variable analysis of the waist circumference (WC), trunk fat mass (Trk-Ft), body mass index, etc., a binary logistic regression analysis was performed to examine the significance of the differences between the normal group and hypertriglyceridemia groups. RESULTS In both men and women, the WC showed the strongest association with hypertriglyceridemia in the crude analysis (odds ratio (OR) = 1.738 [confidence interval = 1.529-1.976] and OR = 2.075 [1.797-2.397]), but the Trk-Ft was the most strongly associated with the disease after adjusting for age and body mass index (adjusted OR = 1.565 [1.262-1.941] and adjusted OR = 1.730 [1.291-2.319]). In particular, the Pelvis area (Plv-A) was the most significant among the bone variables in women (adjusted OR = 0.641 [0.515-0.796]). In the predictive power analysis, the best indicator of hypertriglyceridemia was WC in women (the area under the receiver operating characteristic curve (AUC) = 0.718 [0.685-0.751]) and Trk-Ft in men (AUC = 0.672 [0.643-0.702]). The WC was also the most predictive among the anthropometric variables in men (AUC = 0.670 [0.641-0.700]). The strength of the association and predictive power was stronger in women than in men. CONCLUSIONS The WC in women and Trk-Ft in men exhibited the best predictive power for hypertriglyceridemia. Our findings support the use of basic information for the identification of hypertriglyceridemia or high triglyceride levels in initial health screening efforts.
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Affiliation(s)
- Jeong Hee Chi
- Department of Software, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul, 05029 Republic of Korea
| | - Moon Sun Shin
- Department of Computer Engineering, Konkuk University, 268 Chungwon-daero, Chungju-Si, Chungcheongbuk-Do 380-701 Republic of Korea
| | - Bum Ju Lee
- Future Medicine Division, Korea Institute of Oriental Medicine, 1672 Yuseongdae-ro, Yuseong-gu, Deajeon 305-811 Republic of Korea
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