Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample
Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Pires, Gabriel Natan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature Singapore Pte Ltd. 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Sleep and vigilance - [Singapore] : Springer Singapore, 2017, 2(2018), 2 vom: 26. Nov., Seite 167-172 |
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| Übergeordnetes Werk: |
volume:2 ; year:2018 ; number:2 ; day:26 ; month:11 ; pages:167-172 |
| Links: |
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| DOI / URN: |
10.1007/s41782-018-0051-z |
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| Katalog-ID: |
SPR038305682 |
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| 520 | |a Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. | ||
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| 700 | 1 | |a Tufik, Sergio |4 aut | |
| 700 | 1 | |a Andersen, Monica Levy |4 aut | |
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10.1007/s41782-018-0051-z doi (DE-627)SPR038305682 (SPR)s41782-018-0051-z-e DE-627 ger DE-627 rakwb eng Pires, Gabriel Natan verfasserin aut Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2018 Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. Sleep (dpeaa)DE-He213 Anacor (dpeaa)DE-He213 Correspondence analysis (dpeaa)DE-He213 Sleep apnea (dpeaa)DE-He213 Bittencourt, Lia aut Tufik, Sergio aut Andersen, Monica Levy aut Enthalten in Sleep and vigilance [Singapore] : Springer Singapore, 2017 2(2018), 2 vom: 26. Nov., Seite 167-172 (DE-627)878126562 (DE-600)2882269-9 2510-2265 nnns volume:2 year:2018 number:2 day:26 month:11 pages:167-172 https://dx.doi.org/10.1007/s41782-018-0051-z 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_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_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_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_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 AR 2 2018 2 26 11 167-172 |
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10.1007/s41782-018-0051-z doi (DE-627)SPR038305682 (SPR)s41782-018-0051-z-e DE-627 ger DE-627 rakwb eng Pires, Gabriel Natan verfasserin aut Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2018 Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. Sleep (dpeaa)DE-He213 Anacor (dpeaa)DE-He213 Correspondence analysis (dpeaa)DE-He213 Sleep apnea (dpeaa)DE-He213 Bittencourt, Lia aut Tufik, Sergio aut Andersen, Monica Levy aut Enthalten in Sleep and vigilance [Singapore] : Springer Singapore, 2017 2(2018), 2 vom: 26. Nov., Seite 167-172 (DE-627)878126562 (DE-600)2882269-9 2510-2265 nnns volume:2 year:2018 number:2 day:26 month:11 pages:167-172 https://dx.doi.org/10.1007/s41782-018-0051-z 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_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_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_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_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 AR 2 2018 2 26 11 167-172 |
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10.1007/s41782-018-0051-z doi (DE-627)SPR038305682 (SPR)s41782-018-0051-z-e DE-627 ger DE-627 rakwb eng Pires, Gabriel Natan verfasserin aut Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2018 Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. Sleep (dpeaa)DE-He213 Anacor (dpeaa)DE-He213 Correspondence analysis (dpeaa)DE-He213 Sleep apnea (dpeaa)DE-He213 Bittencourt, Lia aut Tufik, Sergio aut Andersen, Monica Levy aut Enthalten in Sleep and vigilance [Singapore] : Springer Singapore, 2017 2(2018), 2 vom: 26. Nov., Seite 167-172 (DE-627)878126562 (DE-600)2882269-9 2510-2265 nnns volume:2 year:2018 number:2 day:26 month:11 pages:167-172 https://dx.doi.org/10.1007/s41782-018-0051-z 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_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_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_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_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 AR 2 2018 2 26 11 167-172 |
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10.1007/s41782-018-0051-z doi (DE-627)SPR038305682 (SPR)s41782-018-0051-z-e DE-627 ger DE-627 rakwb eng Pires, Gabriel Natan verfasserin aut Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2018 Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. Sleep (dpeaa)DE-He213 Anacor (dpeaa)DE-He213 Correspondence analysis (dpeaa)DE-He213 Sleep apnea (dpeaa)DE-He213 Bittencourt, Lia aut Tufik, Sergio aut Andersen, Monica Levy aut Enthalten in Sleep and vigilance [Singapore] : Springer Singapore, 2017 2(2018), 2 vom: 26. Nov., Seite 167-172 (DE-627)878126562 (DE-600)2882269-9 2510-2265 nnns volume:2 year:2018 number:2 day:26 month:11 pages:167-172 https://dx.doi.org/10.1007/s41782-018-0051-z 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_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_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_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_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 AR 2 2018 2 26 11 167-172 |
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10.1007/s41782-018-0051-z doi (DE-627)SPR038305682 (SPR)s41782-018-0051-z-e DE-627 ger DE-627 rakwb eng Pires, Gabriel Natan verfasserin aut Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Singapore Pte Ltd. 2018 Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. Sleep (dpeaa)DE-He213 Anacor (dpeaa)DE-He213 Correspondence analysis (dpeaa)DE-He213 Sleep apnea (dpeaa)DE-He213 Bittencourt, Lia aut Tufik, Sergio aut Andersen, Monica Levy aut Enthalten in Sleep and vigilance [Singapore] : Springer Singapore, 2017 2(2018), 2 vom: 26. Nov., Seite 167-172 (DE-627)878126562 (DE-600)2882269-9 2510-2265 nnns volume:2 year:2018 number:2 day:26 month:11 pages:167-172 https://dx.doi.org/10.1007/s41782-018-0051-z 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_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_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_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_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 AR 2 2018 2 26 11 167-172 |
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Pires, Gabriel Natan |
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Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample Sleep (dpeaa)DE-He213 Anacor (dpeaa)DE-He213 Correspondence analysis (dpeaa)DE-He213 Sleep apnea (dpeaa)DE-He213 |
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epidemiological qualitative profiles associated with obstructive sleep apnea syndrome in a population-based sample |
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Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample |
| abstract |
Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. © Springer Nature Singapore Pte Ltd. 2018 |
| abstractGer |
Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. © Springer Nature Singapore Pte Ltd. 2018 |
| abstract_unstemmed |
Abstract The applicability of sleep medicine into public health policies depends on epidemiological and population-based surveys. The present study aimed to analyze a population-based sample to provide qualitative epidemiological profiles related to obstructive sleep apnea syndrome, by means of a correspondence analysis. The São Paulo Epidemiological Sleep Study (EPISONO) dataset was used and variables related to the obstructive sleep apnea syndrome diagnosis, gender, age, self-reported ethnicity, and body mass index (BMI) were extracted to allow comparisons. Two distinct profiles were identified: (1) non-apneic adults were younger, non-obese, and presented Mulatto or Asian self-reported ethnicity; and (2) apneic individuals (regardless of the severity of the disease) were older adults, obese, and did not display any association with any specific self-reported ethnicity. The current analysis is pioneer on the use of correspondence analysis on sleep medicine. © Springer Nature Singapore Pte Ltd. 2018 |
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Epidemiological Qualitative Profiles Associated with Obstructive Sleep Apnea Syndrome in a Population-Based Sample |
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Bittencourt, Lia Tufik, Sergio Andersen, Monica Levy |
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2024-07-03T17:20:00.333Z |
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