These findings support considering environmental and occupational factors in OP prevention, although the overall mixture effect did not reach statistical significance.
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Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES.
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