Cross-Sectional and Longitudinal Associations between Forearm Bone Mineral Density and Anthropometry in Adult Japanese Men and Women
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Background: No consensus exists regarding which anthropometric measurements are related to bone mineral density (BMD), and this relationship may vary according to sex and age. A large Japanese cohort was analyzed to provide an understanding of the relationship between BMD and anthropometry while adjusting for known confounding factors. Methods: Our cohort included 10,827 participants who underwent multiple medical checkups including distal forearm BMD scans. Participants were stratified into four groups according to age (≥50 years or <50 years) and sex. The BMD values were adjusted for confounding factors, after which single and partial correlation analyses were performed. The prevalence of osteopenia was plotted for each weight index (weight or body mass index [BMI]) class. Results: Cross-sectional studies revealed that weight was more favorably correlated than BMI in the older group (R=0.278 and 0.212 in men and R=0.304 and 0.220 in women, respectively), whereas weight and BMI were weakly correlated in the younger age groups. The prevalence of osteopenia exhibited a negative linear relationship with weight among older women ≥50 years of age, and an accelerated increase was observed with decreasing weight in older men weighing <50 kg and younger women weighing <60 kg. When weight was replaced with BMI, the prevalence was low in most subgroups classified by weight. Conclusions: Weight, rather than BMI, was the most important indicator of osteopenia but it might not be predictive of future bone loss.
Abstract
Background: No consensus exists regarding which anthropometric measurements are related to bone mineral density (BMD), and this relationship may vary according to sex and age. A large Japanese cohort was analyzed to provide an understanding of the relationship between BMD and anthropometry while adjusting for known confounding factors. Methods: Our cohort included 10,827 participants who underwent multiple medical checkups including distal forearm BMD scans. Participants were stratified into four groups according to age (≥50 years or <50 years) and sex. The BMD values were adjusted for confounding factors, after which single and partial correlation analyses were performed. The prevalence of osteopenia was plotted for each weight index (weight or body mass index [BMI]) class. Results: Cross-sectional studies revealed that weight was more favorably correlated than BMI in the older group (R=0.278 and 0.212 in men and R=0.304 and 0.220 in women, respectively), whereas weight and BMI were weakly correlated in the younger age groups. The prevalence of osteopenia exhibited a negative linear relationship with weight among older women ≥50 years of age, and an accelerated increase was observed with decreasing weight in older men weighing <50 kg and younger women weighing <60 kg. When weight was replaced with BMI, the prevalence was low in most subgroups classified by weight. Conclusions: Weight, rather than BMI, was the most important indicator of osteopenia but it might not be predictive of future bone loss.
참고문헌 (24)
- Black DM, "Treatment-related changes in bone mineral density as a surrogate biomarker for fracture risk reduction : meta-regression analyses of individual patient data from multiple randomised controlled trials", Lancet Diabetes Endocrinol, 8, pp.672~682 (2020)[DOI]
- Cipriani C, "The epidemiology of osteoporosis in Italian postmenopausal women according to the National Bone Health Alliance(NBHA)diagnostic criteria : a multicenter cohort study", J Endocrinol Invest, 41, pp.431~438 (2018)[DOI]
- Anam AK, "Update on osteoporosis screening and management", Med Clin North Am, 105, pp.1117~1134 (2021)[DOI]
- Dargent-Molina P, "In elderly women weight is the best predictor of a very low bone mineral density : evidence from the EPIDOS study", Osteoporos Int, 11, pp.881~888 (2000)[DOI]
- Lloyd JT, "Body mass index is positively associated with bone mineral density in US older adults", Arch Osteoporos, 9, pp.175~ (2014)[DOI]
- Akdeniz N, "Risk factors for postmenopausal osteoporosis : anthropometric measurements, age, age at menopause and the time elapsed after menopause onset", Gynecol Endocrinol, 25, pp.125~129 (2009)[DOI]
- Davis JW, "Relation of height and weight to the regional variations in bone mass among Japanese-American men and women", Osteoporos Int, 5, pp.234~238 (1995)[DOI]
- Lei SF, "Bone mineral density in elderly Chinese : effects of age, sex, weight, height, and body mass index", J Bone Miner Metab, 22, pp.71~78 (2004)[DOI]
- Yao WJ, "Differential changes in regional bone mineral density in healthy Chinese : age-related and sex-dependent", Calcif Tissue Int, 68, pp.330~336 (2001)[DOI]
- Dennison E, "Determinants of bone loss in elderly men and women : a prospective population-based study", Osteoporos Int, 10, pp.384~391 (1999)[DOI]
- Bakker I, "Fat-free body mass is the most important body composition determinant of 10-yr longitudinal development of lumbar bone in adult men and women", J Clin Endocrinol Metab, 88, pp.2607~2613 (2003)[DOI]
- Ahn SH, "Higher serum uric acid is associated with higher bone mass, lower bone turnover, and lower prevalence of vertebral fracture in healthy postmenopausal women", Osteoporos Int, 24, pp.2961~2970 (2013)[DOI]
- Makovey J, "Association between serum cholesterol and bone mineral density", Bone, 44, pp.208~213 (2009)[DOI]
- Cesari M, "Bone density and hemoglobin levels in older persons : results from the InCHIANTI study", Osteoporos Int, 16, pp.691~699 (2005)[DOI]
- 2014 National health and nutrition survey report, "Ministry of Health, Labour and Welfare", Ministry of Health, Labour and Welfare, ~ (2014)
- Ito H, "Relation between body composition and age in healthy Japanese subjects", Eur J Clin Nutr, 55, pp.462~470 (2001)[DOI]
- Chuang TL, "Bone mineral density and hemoglobin levels : opposite associations in younger and older women", Int J Environ Res Public Health, 18, pp.5495~ (2021)[DOI]
- Yeh LR, "Normal bone mineral density in anteroposterior, lateral spine and hip of Chinese men in Taiwan : effect of age change, body weight and height", J Chin Med Assoc, 67, pp.287~295 (2004)
- van der Voort DJ, "Construction of an algorithm for quick detection of patients with low bone mineral density and its applicability in daily general practice", J Clin Epidemiol, 53, pp.1095~1103 (2000)[DOI]
- Robbins J, "Body mass index is not a good predictor of bone density : results from WHI, CHS, and EPIDOS", J Clin Densitom, 9, pp.329~334 (2006)[DOI]
- Picard D, "Ability of peripheral DXA measurement to diagnose osteoporosis as assessed by central DXA measurement", J Clin Densitom, 7, pp.111~118 (2004)[DOI]
- Jones T, "Bone mineral density at distal forearm can identify patients with osteoporosis at spine or femoral neck", Br J Rheumatol, 37, pp.539~543 (1998)[DOI]
- Forsmo S, "Past and current weight change and forearm bone loss in middle-aged women : the Nord-Trøndelag Health Study, Norway", Menopause, 16, pp.1197~1204 (2009)[DOI]
- Ishikawa K, "The relationship between spinal and appendicular bone mass modified by physical, historical, and lifestyle factors", J Bone Miner Metab, 18, pp.170~175 (2000)[DOI]