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Individual differences in the phase and amplitude of the human ...

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Phase <strong>and</strong> <strong>amplitude</strong> <strong>of</strong> <strong>the</strong> temperature rhythm 121Figure 2. Scatter plot <strong>of</strong> scheduled wake timevs. temperature m<strong>in</strong>imum (T m<strong>in</strong> ) for <strong>the</strong> 172subjects. The equation <strong>of</strong> <strong>the</strong> regression l<strong>in</strong>e is:Wake ˆ (.67)(T m<strong>in</strong> ) + 5.4.Circadian temperature rhythm <strong>amplitude</strong> (T amp )We calculated T amp for men only <strong>and</strong> found that a larger T ampwas associated with a later T m<strong>in</strong> , greater even<strong>in</strong>gness on <strong>the</strong>MEQ, younger age <strong>and</strong> higher scores on CTI Flexibility(Table 3). E-types had a larger T amp than M-types (1.3 ‹ 0.3vs. 1.1 ‹ 0.2°C), due to reach<strong>in</strong>g a lower temperature dur<strong>in</strong>gsleep (Fig. 5), <strong>and</strong> this di€erence <strong>in</strong> <strong>amplitude</strong> was on <strong>the</strong>borderl<strong>in</strong>e <strong>of</strong> statistical signi®cance by t-test (P ˆ 0.07). Thesame relationship between <strong>amplitude</strong> <strong>and</strong> <strong>phase</strong> can be seen <strong>in</strong><strong>the</strong> top two panels <strong>of</strong> Fig. 4. The men with <strong>the</strong> latest T m<strong>in</strong> hadlarger <strong>amplitude</strong>s than those with <strong>the</strong> earliest T m<strong>in</strong> . The bottompanels <strong>of</strong> Fig. 4 show that this relationship may also be truefor women, however, we did not control for <strong>phase</strong> <strong>of</strong> <strong>the</strong>menstrual cycle, which is known to a€ect <strong>the</strong> <strong>amplitude</strong> <strong>of</strong> <strong>the</strong>temperature rhythm.DISCUSSIONCircadian temperature rhythm <strong>phase</strong> (T m<strong>in</strong> )As expected, a later circadian temperature rhythm <strong>phase</strong> (T m<strong>in</strong> )was associated with a later sleep schedule <strong>and</strong> greatereven<strong>in</strong>gness on <strong>the</strong> MEQ. Figures 2 <strong>and</strong> 3 demonstrate <strong>the</strong>serelationships <strong>and</strong> can be useful for estimat<strong>in</strong>g T m<strong>in</strong> from an<strong>in</strong>dividual's morn<strong>in</strong>gness±even<strong>in</strong>gness score or weekend waketime.The relationship that we found between morn<strong>in</strong>gness±even<strong>in</strong>gness score <strong>and</strong> temperature rhythm <strong>phase</strong> is consistentwith studies that used <strong>the</strong> MEQ <strong>and</strong> measured temperature<strong>phase</strong> dur<strong>in</strong>g a constant rout<strong>in</strong>e (Lack <strong>and</strong> Bailey 1994;Kerkh<strong>of</strong> <strong>and</strong> Van Dongen 1996; Du€y et al. 1999a). The clocktimes reported for <strong>the</strong> T m<strong>in</strong> were similar among <strong>the</strong> constantrout<strong>in</strong>e studies, <strong>and</strong> ranged from about 04.34 to 05.15 h forM-types <strong>and</strong> from about 06.45 to 07.30 h for E-types, with adi€erence between <strong>the</strong> T m<strong>in</strong> <strong>of</strong> <strong>the</strong> M- <strong>and</strong> E-type groups <strong>of</strong>» 2 h. The T m<strong>in</strong> <strong>in</strong> our study were slightly earlier <strong>and</strong> occurredat 03.50 h for M-types <strong>and</strong> 06.01 h for E-types, with a similardi€erence between <strong>the</strong> T m<strong>in</strong> <strong>of</strong> » 2 h. Kerkh<strong>of</strong> <strong>and</strong> VanDongen (1996) measured both ambulatory <strong>and</strong> constantrout<strong>in</strong>e body temperature data <strong>in</strong> <strong>the</strong>ir study <strong>and</strong> found that<strong>the</strong> constant rout<strong>in</strong>e T m<strong>in</strong> occurred » 1 h later than <strong>the</strong>ambulatory T m<strong>in</strong> , which is similar to how our data comparewith <strong>the</strong> constant rout<strong>in</strong>e data. It is possible that <strong>the</strong> constantrout<strong>in</strong>e is distort<strong>in</strong>g <strong>the</strong> <strong>phase</strong> estimate, yield<strong>in</strong>g a later <strong>phase</strong>due to <strong>the</strong> free run associated with sleep deprivation <strong>in</strong> dimlight (Van Dongen et al. 1998). Alternatively, our slightlyearlier clock times for <strong>the</strong> T m<strong>in</strong> could be due to actualdi€erences between our sample <strong>and</strong> <strong>the</strong> samples used <strong>in</strong> <strong>the</strong>constant rout<strong>in</strong>e studies, to methodological di€erences <strong>in</strong>curve-®tt<strong>in</strong>g techniques, <strong>and</strong> to whe<strong>the</strong>r <strong>the</strong> data for <strong>the</strong>constant rout<strong>in</strong>e studies were reported <strong>in</strong> local or st<strong>and</strong>ardtime. The fact that our results were so similar to those <strong>of</strong>constant rout<strong>in</strong>e studies suggests that it is not always necessaryto use <strong>the</strong> expensive <strong>and</strong> arduous constant rout<strong>in</strong>e method todeterm<strong>in</strong>e temperature rhythm <strong>phase</strong>. However, <strong>in</strong> situations<strong>in</strong> which subjects are sleep<strong>in</strong>g at <strong>the</strong> wrong <strong>phase</strong> <strong>of</strong> <strong>the</strong>irÓ 2000 European Sleep Research Society, J. Sleep Res., 9, 117±127

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