Association between Environmental Cadmium Exposure and Osteoporosis Risk in Postmenopausal Women: A Systematic Review and Meta-Analysis.
Carlos Tadashi KuniokaMaria Conceição MansoMárcia CarvalhoPublished in: International journal of environmental research and public health (2022)
Osteoporosis is a common and serious health issue among postmenopausal women. We conducted a systematic review and meta-analysis study to determine whether environmental exposure to cadmium (Cd) is a risk factor for postmenopausal osteoporosis. A PROSPERO-registered review of the literature was performed on studies evaluating the relationship between urinary Cd (UCd) concentration, an indicator of long-term Cd exposure, and bone mineral density or osteoporosis in women aged 50 years and older. PubMed, Embase, Science Direct, Web of Science, and B-on databases were searched for articles published between 2008 and 2021. The association between UCd levels and osteoporosis risk was assessed by pooled odds ratio (OR) and 95% confidence interval (CI) using random-effect models. Ten cross-sectional studies were included in the qualitative analysis, of which five were used for meta-analysis. We separately assessed the risk of osteoporosis in women exposed to Cd at low environmental levels ( n = 5895; UCd ≥ 0.5 μg/g creatinine versus UCd < 0.5 μg/g creatinine) and high environmental levels ( n = 1864; UCd ≥ 5 μg/g creatinine versus UCd < 5 μg/g creatinine). The pooled OR for postmenopausal osteoporosis was 1.95 (95% CI: 1.39-2.73, p < 0.001) in the low exposure level group and 1.99 (95% CI: 1.04-3.82, p = 0.040) in the high exposure level group. This study indicates that environmental Cd exposure, even at low levels, may be a risk factor for osteoporosis in postmenopausal women. Further research based on prospective studies is needed to validate these findings.
Keyphrases
- postmenopausal women
- bone mineral density
- systematic review
- public health
- human health
- body composition
- cross sectional
- uric acid
- case control
- healthcare
- life cycle
- nk cells
- polycystic ovary syndrome
- physical activity
- heavy metals
- randomized controlled trial
- machine learning
- social media
- adipose tissue
- skeletal muscle
- deep learning
- study protocol
- double blind
- middle aged
- big data