Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day
Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed...
Ausführliche Beschreibung
Autor*in: |
Stewart, Elyse [verfasserIn] Coles, Meredith E. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: International journal of cognitive therapy - Berlin : Springer, 2008, 14(2020), 2 vom: 28. Apr., Seite 289-304 |
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Übergeordnetes Werk: |
volume:14 ; year:2020 ; number:2 ; day:28 ; month:04 ; pages:289-304 |
Links: |
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DOI / URN: |
10.1007/s41811-020-00074-7 |
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Katalog-ID: |
SPR043913482 |
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520 | |a Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. | ||
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10.1007/s41811-020-00074-7 doi (DE-627)SPR043913482 (DE-599)SPRs41811-020-00074-7-e (SPR)s41811-020-00074-7-e DE-627 ger DE-627 rakwb eng 150 ASE 150 ASE Stewart, Elyse verfasserin aut Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. Repetitive negative thinking (dpeaa)DE-He213 Sleep timing (dpeaa)DE-He213 Sleep duration (dpeaa)DE-He213 Coles, Meredith E. verfasserin aut Enthalten in International journal of cognitive therapy Berlin : Springer, 2008 14(2020), 2 vom: 28. Apr., Seite 289-304 (DE-627)574782923 (DE-600)2444531-9 1937-1217 nnns volume:14 year:2020 number:2 day:28 month:04 pages:289-304 https://dx.doi.org/10.1007/s41811-020-00074-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2020 2 28 04 289-304 |
spelling |
10.1007/s41811-020-00074-7 doi (DE-627)SPR043913482 (DE-599)SPRs41811-020-00074-7-e (SPR)s41811-020-00074-7-e DE-627 ger DE-627 rakwb eng 150 ASE 150 ASE Stewart, Elyse verfasserin aut Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. Repetitive negative thinking (dpeaa)DE-He213 Sleep timing (dpeaa)DE-He213 Sleep duration (dpeaa)DE-He213 Coles, Meredith E. verfasserin aut Enthalten in International journal of cognitive therapy Berlin : Springer, 2008 14(2020), 2 vom: 28. Apr., Seite 289-304 (DE-627)574782923 (DE-600)2444531-9 1937-1217 nnns volume:14 year:2020 number:2 day:28 month:04 pages:289-304 https://dx.doi.org/10.1007/s41811-020-00074-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2020 2 28 04 289-304 |
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10.1007/s41811-020-00074-7 doi (DE-627)SPR043913482 (DE-599)SPRs41811-020-00074-7-e (SPR)s41811-020-00074-7-e DE-627 ger DE-627 rakwb eng 150 ASE 150 ASE Stewart, Elyse verfasserin aut Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. Repetitive negative thinking (dpeaa)DE-He213 Sleep timing (dpeaa)DE-He213 Sleep duration (dpeaa)DE-He213 Coles, Meredith E. verfasserin aut Enthalten in International journal of cognitive therapy Berlin : Springer, 2008 14(2020), 2 vom: 28. Apr., Seite 289-304 (DE-627)574782923 (DE-600)2444531-9 1937-1217 nnns volume:14 year:2020 number:2 day:28 month:04 pages:289-304 https://dx.doi.org/10.1007/s41811-020-00074-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2020 2 28 04 289-304 |
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10.1007/s41811-020-00074-7 doi (DE-627)SPR043913482 (DE-599)SPRs41811-020-00074-7-e (SPR)s41811-020-00074-7-e DE-627 ger DE-627 rakwb eng 150 ASE 150 ASE Stewart, Elyse verfasserin aut Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. Repetitive negative thinking (dpeaa)DE-He213 Sleep timing (dpeaa)DE-He213 Sleep duration (dpeaa)DE-He213 Coles, Meredith E. verfasserin aut Enthalten in International journal of cognitive therapy Berlin : Springer, 2008 14(2020), 2 vom: 28. Apr., Seite 289-304 (DE-627)574782923 (DE-600)2444531-9 1937-1217 nnns volume:14 year:2020 number:2 day:28 month:04 pages:289-304 https://dx.doi.org/10.1007/s41811-020-00074-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2020 2 28 04 289-304 |
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Enthalten in International journal of cognitive therapy 14(2020), 2 vom: 28. Apr., Seite 289-304 volume:14 year:2020 number:2 day:28 month:04 pages:289-304 |
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Enthalten in International journal of cognitive therapy 14(2020), 2 vom: 28. Apr., Seite 289-304 volume:14 year:2020 number:2 day:28 month:04 pages:289-304 |
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topic_facet |
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International journal of cognitive therapy |
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Stewart, Elyse @@aut@@ Coles, Meredith E. @@aut@@ |
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Stewart, Elyse ddc 150 misc Repetitive negative thinking misc Sleep timing misc Sleep duration Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day |
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Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day |
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Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day |
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sleep timing and duration predict levels of repetitive negative thinking the following day |
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Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day |
abstract |
Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. |
abstractGer |
Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. |
abstract_unstemmed |
Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT. |
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Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR043913482</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519234411.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210430s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s41811-020-00074-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR043913482</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)SPRs41811-020-00074-7-e</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s41811-020-00074-7-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">150</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">150</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Stewart, Elyse</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sleep Timing and Duration Predict Levels of Repetitive Negative Thinking the Following Day</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Multiple forms of psychopathology characterized by repetitive negative thinking (RNT) are often comorbid with sleep problems. This study aimed to use a longitudinal method to extend previous research regarding this connection. Participants (N = 127) were undergraduate students who completed daily measures of sleep, mood, and RNT for 18 days that encompassed a transition to and from a holiday break. At baseline, insomnia severity and circadian disruption severity per self-report measure revealed small to moderate correlations with RNT, and these relations remained significant after statistically controlling for the influence of negative affect. When looking longitudinally within person, later bedtimes and shorter sleep durations were predictors of heightened RNT the next day, even after statistically controlling for negative affect. RNT did not predict sleep variables when running the reverse of these models, yet negative affect emerged as a significant predictor of sleep timing and sleep duration. Results indicate that bedtime and sleep duration may be contributors to RNT, and that sleep disruptions may precede the onset of RNT.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Repetitive negative thinking</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sleep timing</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sleep duration</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Coles, Meredith E.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of cognitive therapy</subfield><subfield code="d">Berlin : Springer, 2008</subfield><subfield code="g">14(2020), 2 vom: 28. Apr., Seite 289-304</subfield><subfield code="w">(DE-627)574782923</subfield><subfield code="w">(DE-600)2444531-9</subfield><subfield code="x">1937-1217</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:14</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:2</subfield><subfield code="g">day:28</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:289-304</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s41811-020-00074-7</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" 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