Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach
Abstract Background Depression is a global burden with profound personal and economic consequences. Previous studies have reported that the amount of physical activity is associated with depression. However, the relationship between the temporal patterns of physical activity and depressive symptoms...
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| Main Authors: | , , , |
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| Format: | Book |
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BMC,
2024-05-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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