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Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.

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Title: Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.
Authors: Nawrin, Saida Salima1 (AUTHOR), Inada, Hitoshi1,2 (AUTHOR) hinada@med.tohoku.ac.jp, Momma, Haruki3 (AUTHOR), Nagatomi, Ryoichi1,3 (AUTHOR) nagatomi@med.tohoku.ac.jp
Source: BMC Public Health. 5/7/2024, Vol. 24 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.
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  Data: <searchLink fieldCode="AR" term="%22Nawrin%2C+Saida+Salima%22">Nawrin, Saida Salima</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Inada%2C+Hitoshi%22">Inada, Hitoshi</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hinada@med.tohoku.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Momma%2C+Haruki%22">Momma, Haruki</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nagatomi%2C+Ryoichi%22">Nagatomi, Ryoichi</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> nagatomi@med.tohoku.ac.jp</i>
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  Data: <searchLink fieldCode="JN" term="%22BMC+Public+Health%22">BMC Public Health</searchLink>. 5/7/2024, Vol. 24 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=177112210
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        Value: 10.1186/s12889-024-18759-5
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        Text: English
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      – TitleFull: Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.
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              Text: 5/7/2024
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