Sleep disorders in patients with multiple sclerosis in China

Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex-...
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Autor*in:	Ma, Shengli [verfasserIn] Rui, Xue [verfasserIn] Qi, Peiyi [verfasserIn] Liu, Gangqiong [verfasserIn] Yang, Jing [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Multiple sclerosis Sleep disorder Poor sleep China

Übergeordnetes Werk:	Enthalten in: Sleep and breathing - Berlin : Springer, 1996, 21(2016), 1 vom: 11. Okt., Seite 149-154
Übergeordnetes Werk:	volume:21 ; year:2016 ; number:1 ; day:11 ; month:10 ; pages:149-154

Links:	Volltext

DOI / URN:	10.1007/s11325-016-1416-y

Katalog-ID:	SPR018739997

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520			\|a Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them.
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700	1		\|a Yang, Jing \|e verfasserin \|4 aut
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matchkey_str	article:15221709:2016----::ledsresnainsihutpec
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bklnumber	44.84 44.90 77.47
publishDate	2016
allfields	10.1007/s11325-016-1416-y doi (DE-627)SPR018739997 (SPR)s11325-016-1416-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.84 bkl 44.90 bkl 77.47 bkl Ma, Shengli verfasserin aut Sleep disorders in patients with multiple sclerosis in China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them. Multiple sclerosis (dpeaa)DE-He213 Sleep disorder (dpeaa)DE-He213 Poor sleep (dpeaa)DE-He213 China (dpeaa)DE-He213 Rui, Xue verfasserin aut Qi, Peiyi verfasserin aut Liu, Gangqiong verfasserin aut Yang, Jing verfasserin aut Enthalten in Sleep and breathing Berlin : Springer, 1996 21(2016), 1 vom: 11. Okt., Seite 149-154 (DE-627)342891839 (DE-600)2072363-5 1522-1709 nnns volume:21 year:2016 number:1 day:11 month:10 pages:149-154 https://dx.doi.org/10.1007/s11325-016-1416-y 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.84 ASE 44.90 ASE 77.47 ASE AR 21 2016 1 11 10 149-154
spelling	10.1007/s11325-016-1416-y doi (DE-627)SPR018739997 (SPR)s11325-016-1416-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.84 bkl 44.90 bkl 77.47 bkl Ma, Shengli verfasserin aut Sleep disorders in patients with multiple sclerosis in China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them. Multiple sclerosis (dpeaa)DE-He213 Sleep disorder (dpeaa)DE-He213 Poor sleep (dpeaa)DE-He213 China (dpeaa)DE-He213 Rui, Xue verfasserin aut Qi, Peiyi verfasserin aut Liu, Gangqiong verfasserin aut Yang, Jing verfasserin aut Enthalten in Sleep and breathing Berlin : Springer, 1996 21(2016), 1 vom: 11. Okt., Seite 149-154 (DE-627)342891839 (DE-600)2072363-5 1522-1709 nnns volume:21 year:2016 number:1 day:11 month:10 pages:149-154 https://dx.doi.org/10.1007/s11325-016-1416-y 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.84 ASE 44.90 ASE 77.47 ASE AR 21 2016 1 11 10 149-154
allfields_unstemmed	10.1007/s11325-016-1416-y doi (DE-627)SPR018739997 (SPR)s11325-016-1416-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.84 bkl 44.90 bkl 77.47 bkl Ma, Shengli verfasserin aut Sleep disorders in patients with multiple sclerosis in China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them. Multiple sclerosis (dpeaa)DE-He213 Sleep disorder (dpeaa)DE-He213 Poor sleep (dpeaa)DE-He213 China (dpeaa)DE-He213 Rui, Xue verfasserin aut Qi, Peiyi verfasserin aut Liu, Gangqiong verfasserin aut Yang, Jing verfasserin aut Enthalten in Sleep and breathing Berlin : Springer, 1996 21(2016), 1 vom: 11. Okt., Seite 149-154 (DE-627)342891839 (DE-600)2072363-5 1522-1709 nnns volume:21 year:2016 number:1 day:11 month:10 pages:149-154 https://dx.doi.org/10.1007/s11325-016-1416-y 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.84 ASE 44.90 ASE 77.47 ASE AR 21 2016 1 11 10 149-154
allfieldsGer	10.1007/s11325-016-1416-y doi (DE-627)SPR018739997 (SPR)s11325-016-1416-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.84 bkl 44.90 bkl 77.47 bkl Ma, Shengli verfasserin aut Sleep disorders in patients with multiple sclerosis in China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them. Multiple sclerosis (dpeaa)DE-He213 Sleep disorder (dpeaa)DE-He213 Poor sleep (dpeaa)DE-He213 China (dpeaa)DE-He213 Rui, Xue verfasserin aut Qi, Peiyi verfasserin aut Liu, Gangqiong verfasserin aut Yang, Jing verfasserin aut Enthalten in Sleep and breathing Berlin : Springer, 1996 21(2016), 1 vom: 11. Okt., Seite 149-154 (DE-627)342891839 (DE-600)2072363-5 1522-1709 nnns volume:21 year:2016 number:1 day:11 month:10 pages:149-154 https://dx.doi.org/10.1007/s11325-016-1416-y 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.84 ASE 44.90 ASE 77.47 ASE AR 21 2016 1 11 10 149-154
allfieldsSound	10.1007/s11325-016-1416-y doi (DE-627)SPR018739997 (SPR)s11325-016-1416-y-e DE-627 ger DE-627 rakwb eng 610 ASE 44.84 bkl 44.90 bkl 77.47 bkl Ma, Shengli verfasserin aut Sleep disorders in patients with multiple sclerosis in China 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them. Multiple sclerosis (dpeaa)DE-He213 Sleep disorder (dpeaa)DE-He213 Poor sleep (dpeaa)DE-He213 China (dpeaa)DE-He213 Rui, Xue verfasserin aut Qi, Peiyi verfasserin aut Liu, Gangqiong verfasserin aut Yang, Jing verfasserin aut Enthalten in Sleep and breathing Berlin : Springer, 1996 21(2016), 1 vom: 11. Okt., Seite 149-154 (DE-627)342891839 (DE-600)2072363-5 1522-1709 nnns volume:21 year:2016 number:1 day:11 month:10 pages:149-154 https://dx.doi.org/10.1007/s11325-016-1416-y 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_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_4012 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.84 ASE 44.90 ASE 77.47 ASE AR 21 2016 1 11 10 149-154
language	English
source	Enthalten in Sleep and breathing 21(2016), 1 vom: 11. Okt., Seite 149-154 volume:21 year:2016 number:1 day:11 month:10 pages:149-154
sourceStr	Enthalten in Sleep and breathing 21(2016), 1 vom: 11. Okt., Seite 149-154 volume:21 year:2016 number:1 day:11 month:10 pages:149-154
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Multiple sclerosis Sleep disorder Poor sleep China
dewey-raw	610
isfreeaccess_bool	false
container_title	Sleep and breathing
authorswithroles_txt_mv	Ma, Shengli @@aut@@ Rui, Xue @@aut@@ Qi, Peiyi @@aut@@ Liu, Gangqiong @@aut@@ Yang, Jing @@aut@@
publishDateDaySort_date	2016-10-11T00:00:00Z
hierarchy_top_id	342891839
dewey-sort	3610
id	SPR018739997
language_de	englisch
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This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. 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author	Ma, Shengli
spellingShingle	Ma, Shengli ddc 610 bkl 44.84 bkl 44.90 bkl 77.47 misc Multiple sclerosis misc Sleep disorder misc Poor sleep misc China Sleep disorders in patients with multiple sclerosis in China
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topic_title	610 ASE 44.84 bkl 44.90 bkl 77.47 bkl Sleep disorders in patients with multiple sclerosis in China Multiple sclerosis (dpeaa)DE-He213 Sleep disorder (dpeaa)DE-He213 Poor sleep (dpeaa)DE-He213 China (dpeaa)DE-He213
topic	ddc 610 bkl 44.84 bkl 44.90 bkl 77.47 misc Multiple sclerosis misc Sleep disorder misc Poor sleep misc China
topic_unstemmed	ddc 610 bkl 44.84 bkl 44.90 bkl 77.47 misc Multiple sclerosis misc Sleep disorder misc Poor sleep misc China
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title	Sleep disorders in patients with multiple sclerosis in China
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title_full	Sleep disorders in patients with multiple sclerosis in China
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author_browse	Ma, Shengli Rui, Xue Qi, Peiyi Liu, Gangqiong Yang, Jing
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title_sort	sleep disorders in patients with multiple sclerosis in china
title_auth	Sleep disorders in patients with multiple sclerosis in China
abstract	Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them.
abstractGer	Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them.
abstract_unstemmed	Background Poor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them.
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title_short	Sleep disorders in patients with multiple sclerosis in China
url	https://dx.doi.org/10.1007/s11325-016-1416-y
remote_bool	true
author2	Rui, Xue Qi, Peiyi Liu, Gangqiong Yang, Jing
author2Str	Rui, Xue Qi, Peiyi Liu, Gangqiong Yang, Jing
ppnlink	342891839
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isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s11325-016-1416-y
up_date	2024-07-03T21:53:41.996Z
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This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS. Methods A cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS. Results The prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS. Conclusions Poor sleep is more common in patients with MS than in the general population. 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