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Abstract
Correlations between altered body temperature and depression have been reported in small samples; greater confidence in these associations would provide a rationale for further examining potential mechanisms of depression related to body temperature regulation. We sought to test the hypotheses that greater depression symptom severity is associated with (1) higher body temperature, (2) smaller differences between body temperature when awake versus asleep, and (3) lower diurnal body temperature amplitude. Data collected included both self-reported body temperature (using standard thermometers), wearable sensor-assessed distal body temperature (using an off-the-shelf wearable sensor that collected minute-level physiological data), and self-reported depressive symptoms from > 20,000 participants over the course of ~ 7 months as part of the TemPredict Study. Higher self-reported and wearable sensor-assessed body temperatures when awake were associated with greater depression symptom severity. Lower diurnal body temperature amplitude, computed using wearable sensor-assessed distal body temperature data, tended to be associated with greater depression symptom severity, though this association did not achieve statistical significance. These findings, drawn from a large sample, replicate and expand upon prior data pointing to body temperature alterations as potentially relevant factors in depression etiology and may hold implications for development of novel approaches to the treatment of major depressive disorder.
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1 University of California San Francisco, Osher Center for Integrative Health, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
2 University of California San Diego, Shu Chien-Gene Lay Department of Bioengineering, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242)
3 University of California San Diego, Neurosciences Graduate Program, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242)
4 Zicklin School of Business, Baruch College, The City University of New York, Department of Management, New York, USA (GRID:grid.252858.0) (ISNI:0000000107427937)
5 The University of Arizona, Department of Psychology, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X)
6 Cleveland Clinic, Department of Wellness and Preventative Medicine, Cleveland, USA (GRID:grid.239578.2) (ISNI:0000 0001 0675 4725)
7 Massachusetts General Hospital, Depression Clinical and Research Program, Boston, USA (GRID:grid.32224.35) (ISNI:0000 0004 0386 9924); Harvard Medical School, Department of Psychiatry, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
8 University of Colorado Boulder, Department of Integrative Physiology, Boulder, USA (GRID:grid.266190.a) (ISNI:0000 0000 9621 4564)
9 University of Wisconsin-Madison, Department of Psychiatry, School of Medicine and Public Health, Madison, USA (GRID:grid.14003.36) (ISNI:0000 0001 2167 3675)
10 University of California San Diego, Shu Chien-Gene Lay Department of Bioengineering, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242); University of California San Diego, Halıcıoğlu Data Science Institute, San Diego, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242)