Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years
Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Itoh, Hidetaka [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Umfang: |
5 |
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| Übergeordnetes Werk: |
Enthalten in: PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems - Zhang, Meng ELSEVIER, 2017, official journal of the American College of Cardiology, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:155 ; year:2021 ; day:15 ; month:09 ; pages:40-44 ; extent:5 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.amjcard.2021.06.010 |
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| 520 | |a Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. | ||
| 520 | |a Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. | ||
| 700 | 1 | |a Kaneko, Hidehiro |4 oth | |
| 700 | 1 | |a Fujiu, Katsuhito |4 oth | |
| 700 | 1 | |a Kiriyama, Hiroyuki |4 oth | |
| 700 | 1 | |a Morita, Kojiro |4 oth | |
| 700 | 1 | |a Kamon, Tatsuya |4 oth | |
| 700 | 1 | |a Michihata, Nobuaki |4 oth | |
| 700 | 1 | |a Jo, Taisuke |4 oth | |
| 700 | 1 | |a Takeda, Norifumi |4 oth | |
| 700 | 1 | |a Morita, Hiroyuki |4 oth | |
| 700 | 1 | |a Yasunaga, Hideo |4 oth | |
| 700 | 1 | |a Komuro, Issei |4 oth | |
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10.1016/j.amjcard.2021.06.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001705.pica (DE-627)ELV054982294 (ELSEVIER)S0002-9149(21)00568-3 DE-627 ger DE-627 rakwb eng 510 VZ 31.80 bkl Itoh, Hidetaka verfasserin aut Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years 2021transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Kaneko, Hidehiro oth Fujiu, Katsuhito oth Kiriyama, Hiroyuki oth Morita, Kojiro oth Kamon, Tatsuya oth Michihata, Nobuaki oth Jo, Taisuke oth Takeda, Norifumi oth Morita, Hiroyuki oth Yasunaga, Hideo oth Komuro, Issei oth Enthalten in Elsevier Zhang, Meng ELSEVIER PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems 2017 official journal of the American College of Cardiology Amsterdam [u.a.] (DE-627)ELV000623679 volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 https://doi.org/10.1016/j.amjcard.2021.06.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.80 Angewandte Mathematik VZ AR 155 2021 15 0915 40-44 5 |
| spelling |
10.1016/j.amjcard.2021.06.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001705.pica (DE-627)ELV054982294 (ELSEVIER)S0002-9149(21)00568-3 DE-627 ger DE-627 rakwb eng 510 VZ 31.80 bkl Itoh, Hidetaka verfasserin aut Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years 2021transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Kaneko, Hidehiro oth Fujiu, Katsuhito oth Kiriyama, Hiroyuki oth Morita, Kojiro oth Kamon, Tatsuya oth Michihata, Nobuaki oth Jo, Taisuke oth Takeda, Norifumi oth Morita, Hiroyuki oth Yasunaga, Hideo oth Komuro, Issei oth Enthalten in Elsevier Zhang, Meng ELSEVIER PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems 2017 official journal of the American College of Cardiology Amsterdam [u.a.] (DE-627)ELV000623679 volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 https://doi.org/10.1016/j.amjcard.2021.06.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.80 Angewandte Mathematik VZ AR 155 2021 15 0915 40-44 5 |
| allfields_unstemmed |
10.1016/j.amjcard.2021.06.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001705.pica (DE-627)ELV054982294 (ELSEVIER)S0002-9149(21)00568-3 DE-627 ger DE-627 rakwb eng 510 VZ 31.80 bkl Itoh, Hidetaka verfasserin aut Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years 2021transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Kaneko, Hidehiro oth Fujiu, Katsuhito oth Kiriyama, Hiroyuki oth Morita, Kojiro oth Kamon, Tatsuya oth Michihata, Nobuaki oth Jo, Taisuke oth Takeda, Norifumi oth Morita, Hiroyuki oth Yasunaga, Hideo oth Komuro, Issei oth Enthalten in Elsevier Zhang, Meng ELSEVIER PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems 2017 official journal of the American College of Cardiology Amsterdam [u.a.] (DE-627)ELV000623679 volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 https://doi.org/10.1016/j.amjcard.2021.06.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.80 Angewandte Mathematik VZ AR 155 2021 15 0915 40-44 5 |
| allfieldsGer |
10.1016/j.amjcard.2021.06.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001705.pica (DE-627)ELV054982294 (ELSEVIER)S0002-9149(21)00568-3 DE-627 ger DE-627 rakwb eng 510 VZ 31.80 bkl Itoh, Hidetaka verfasserin aut Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years 2021transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Kaneko, Hidehiro oth Fujiu, Katsuhito oth Kiriyama, Hiroyuki oth Morita, Kojiro oth Kamon, Tatsuya oth Michihata, Nobuaki oth Jo, Taisuke oth Takeda, Norifumi oth Morita, Hiroyuki oth Yasunaga, Hideo oth Komuro, Issei oth Enthalten in Elsevier Zhang, Meng ELSEVIER PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems 2017 official journal of the American College of Cardiology Amsterdam [u.a.] (DE-627)ELV000623679 volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 https://doi.org/10.1016/j.amjcard.2021.06.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.80 Angewandte Mathematik VZ AR 155 2021 15 0915 40-44 5 |
| allfieldsSound |
10.1016/j.amjcard.2021.06.010 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001705.pica (DE-627)ELV054982294 (ELSEVIER)S0002-9149(21)00568-3 DE-627 ger DE-627 rakwb eng 510 VZ 31.80 bkl Itoh, Hidetaka verfasserin aut Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years 2021transfer abstract 5 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. Kaneko, Hidehiro oth Fujiu, Katsuhito oth Kiriyama, Hiroyuki oth Morita, Kojiro oth Kamon, Tatsuya oth Michihata, Nobuaki oth Jo, Taisuke oth Takeda, Norifumi oth Morita, Hiroyuki oth Yasunaga, Hideo oth Komuro, Issei oth Enthalten in Elsevier Zhang, Meng ELSEVIER PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems 2017 official journal of the American College of Cardiology Amsterdam [u.a.] (DE-627)ELV000623679 volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 https://doi.org/10.1016/j.amjcard.2021.06.010 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-MAT 31.80 Angewandte Mathematik VZ AR 155 2021 15 0915 40-44 5 |
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English |
| source |
Enthalten in PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems Amsterdam [u.a.] volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 |
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Enthalten in PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems Amsterdam [u.a.] volume:155 year:2021 day:15 month:09 pages:40-44 extent:5 |
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risk factors and lifestyles in the development of atrial fibrillation among individuals aged 20-39 years |
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Risk Factors and Lifestyles in the Development of Atrial Fibrillation Among Individuals Aged 20-39 Years |
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Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. |
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Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. |
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Epidemiological evidence on the relationship of modifiable risk factors and lifestyles with incident atrial fibrillation (AF) in young adults remains insufficient. We aimed to identify the determinants of AF among young adults using a nationwide epidemiological database. Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults. |
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Medical records of 286,876 individuals (20–39 years) without prior history of cardiovascular disease were extracted from the JMDC Claims Database. We analyzed the association of modifiable risk factors with the incidence of AF. The median (interquartile range) age was 34 (29–37) years, and 54.4% were men. After a mean follow-up of 1,017 ± 836 days, 267 individuals (0.1%) developed AF. Multivariable Cox regression analysis demonstrated that high waist circumference, hypertension, cigarette smoking, and poor sleep quality as well as age and sex were associated with increased incidence of AF. Kaplan-Meier curves showed that number of modifiable components including high waist circumference, hypertension, cigarette smoking, and poor sleep quality clearly stratified the risk of AF development (Log rank test, p < 0.001). Age- and sex-adjusted Cox regression analyses showed individuals with one (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.13–2.18), two (HR 2.03, 95% CI 1.40-2.95), three (HR 3.48, 95% CI 2.19–5.54), and four (HR 10.78, 95% CI 5.26–22.11) components were associated with an increased incidence of AF compared with individuals with no components. In conclusion, high waist circumference, hypertension, cigarette smoking, and poor sleep quality were associated with the development of AF among young adults, suggesting the importance of maintaining these modifiable factors for the primordial prevention of AF in young adults.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kaneko, Hidehiro</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fujiu, Katsuhito</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kiriyama, Hiroyuki</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Morita, Kojiro</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kamon, Tatsuya</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Michihata, Nobuaki</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jo, Taisuke</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Takeda, Norifumi</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Morita, Hiroyuki</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yasunaga, Hideo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Komuro, Issei</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Zhang, Meng ELSEVIER</subfield><subfield code="t">PI simultaneous stabilization and set-point output regulation of Port-Hamiltonian systems</subfield><subfield code="d">2017</subfield><subfield code="d">official journal of the American College of Cardiology</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000623679</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:155</subfield><subfield code="g">year:2021</subfield><subfield code="g">day:15</subfield><subfield code="g">month:09</subfield><subfield code="g">pages:40-44</subfield><subfield code="g">extent:5</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.amjcard.2021.06.010</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">31.80</subfield><subfield code="j">Angewandte Mathematik</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">155</subfield><subfield code="j">2021</subfield><subfield code="b">15</subfield><subfield code="c">0915</subfield><subfield code="h">40-44</subfield><subfield code="g">5</subfield></datafield></record></collection>
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