The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection
Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (N...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
de Mutsert, Renée [verfasserIn] den Heijer, Martin [verfasserIn] Rabelink, Ton Johannes [verfasserIn] Smit, Johannes Willem Adriaan [verfasserIn] Romijn, Johannes Anthonius [verfasserIn] Jukema, Johan Wouter [verfasserIn] de Roos, Albert [verfasserIn] Cobbaert, Christa Maria [verfasserIn] Kloppenburg, Margreet [verfasserIn] le Cessie, Saskia [verfasserIn] Middeldorp, Saskia [verfasserIn] Rosendaal, Frits Richard [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: European journal of epidemiology - [Cham] : Springer Nature Switzerland AG, 1985, 28(2013), 6 vom: 11. Apr., Seite 513-523 |
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| Übergeordnetes Werk: |
volume:28 ; year:2013 ; number:6 ; day:11 ; month:04 ; pages:513-523 |
| Links: |
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| DOI / URN: |
10.1007/s10654-013-9801-3 |
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| Katalog-ID: |
SPR012541664 |
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| 520 | |a Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. | ||
| 650 | 4 | |a Cardiovascular disease |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cohort |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Diabetes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Epidemiology |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Obesity |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Study design |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a den Heijer, Martin |e verfasserin |4 aut | |
| 700 | 1 | |a Rabelink, Ton Johannes |e verfasserin |4 aut | |
| 700 | 1 | |a Smit, Johannes Willem Adriaan |e verfasserin |4 aut | |
| 700 | 1 | |a Romijn, Johannes Anthonius |e verfasserin |4 aut | |
| 700 | 1 | |a Jukema, Johan Wouter |e verfasserin |4 aut | |
| 700 | 1 | |a de Roos, Albert |e verfasserin |4 aut | |
| 700 | 1 | |a Cobbaert, Christa Maria |e verfasserin |4 aut | |
| 700 | 1 | |a Kloppenburg, Margreet |e verfasserin |4 aut | |
| 700 | 1 | |a le Cessie, Saskia |e verfasserin |4 aut | |
| 700 | 1 | |a Middeldorp, Saskia |e verfasserin |4 aut | |
| 700 | 1 | |a Rosendaal, Frits Richard |e verfasserin |4 aut | |
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10.1007/s10654-013-9801-3 doi (DE-627)SPR012541664 (SPR)s10654-013-9801-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl de Mutsert, Renée verfasserin aut The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. Cardiovascular disease (dpeaa)DE-He213 Cohort (dpeaa)DE-He213 Diabetes (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Study design (dpeaa)DE-He213 den Heijer, Martin verfasserin aut Rabelink, Ton Johannes verfasserin aut Smit, Johannes Willem Adriaan verfasserin aut Romijn, Johannes Anthonius verfasserin aut Jukema, Johan Wouter verfasserin aut de Roos, Albert verfasserin aut Cobbaert, Christa Maria verfasserin aut Kloppenburg, Margreet verfasserin aut le Cessie, Saskia verfasserin aut Middeldorp, Saskia verfasserin aut Rosendaal, Frits Richard verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 28(2013), 6 vom: 11. Apr., Seite 513-523 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:28 year:2013 number:6 day:11 month:04 pages:513-523 https://dx.doi.org/10.1007/s10654-013-9801-3 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 28 2013 6 11 04 513-523 |
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10.1007/s10654-013-9801-3 doi (DE-627)SPR012541664 (SPR)s10654-013-9801-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl de Mutsert, Renée verfasserin aut The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. Cardiovascular disease (dpeaa)DE-He213 Cohort (dpeaa)DE-He213 Diabetes (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Study design (dpeaa)DE-He213 den Heijer, Martin verfasserin aut Rabelink, Ton Johannes verfasserin aut Smit, Johannes Willem Adriaan verfasserin aut Romijn, Johannes Anthonius verfasserin aut Jukema, Johan Wouter verfasserin aut de Roos, Albert verfasserin aut Cobbaert, Christa Maria verfasserin aut Kloppenburg, Margreet verfasserin aut le Cessie, Saskia verfasserin aut Middeldorp, Saskia verfasserin aut Rosendaal, Frits Richard verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 28(2013), 6 vom: 11. Apr., Seite 513-523 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:28 year:2013 number:6 day:11 month:04 pages:513-523 https://dx.doi.org/10.1007/s10654-013-9801-3 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 28 2013 6 11 04 513-523 |
| allfields_unstemmed |
10.1007/s10654-013-9801-3 doi (DE-627)SPR012541664 (SPR)s10654-013-9801-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl de Mutsert, Renée verfasserin aut The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. Cardiovascular disease (dpeaa)DE-He213 Cohort (dpeaa)DE-He213 Diabetes (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Study design (dpeaa)DE-He213 den Heijer, Martin verfasserin aut Rabelink, Ton Johannes verfasserin aut Smit, Johannes Willem Adriaan verfasserin aut Romijn, Johannes Anthonius verfasserin aut Jukema, Johan Wouter verfasserin aut de Roos, Albert verfasserin aut Cobbaert, Christa Maria verfasserin aut Kloppenburg, Margreet verfasserin aut le Cessie, Saskia verfasserin aut Middeldorp, Saskia verfasserin aut Rosendaal, Frits Richard verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 28(2013), 6 vom: 11. Apr., Seite 513-523 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:28 year:2013 number:6 day:11 month:04 pages:513-523 https://dx.doi.org/10.1007/s10654-013-9801-3 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 28 2013 6 11 04 513-523 |
| allfieldsGer |
10.1007/s10654-013-9801-3 doi (DE-627)SPR012541664 (SPR)s10654-013-9801-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.11 bkl de Mutsert, Renée verfasserin aut The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. Cardiovascular disease (dpeaa)DE-He213 Cohort (dpeaa)DE-He213 Diabetes (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Study design (dpeaa)DE-He213 den Heijer, Martin verfasserin aut Rabelink, Ton Johannes verfasserin aut Smit, Johannes Willem Adriaan verfasserin aut Romijn, Johannes Anthonius verfasserin aut Jukema, Johan Wouter verfasserin aut de Roos, Albert verfasserin aut Cobbaert, Christa Maria verfasserin aut Kloppenburg, Margreet verfasserin aut le Cessie, Saskia verfasserin aut Middeldorp, Saskia verfasserin aut Rosendaal, Frits Richard verfasserin aut Enthalten in European journal of epidemiology [Cham] : Springer Nature Switzerland AG, 1985 28(2013), 6 vom: 11. Apr., Seite 513-523 (DE-627)320441636 (DE-600)2004992-4 1573-7284 nnns volume:28 year:2013 number:6 day:11 month:04 pages:513-523 https://dx.doi.org/10.1007/s10654-013-9801-3 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_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_252 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 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_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2943 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 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_4346 GBV_ILN_4393 GBV_ILN_4700 44.11 ASE AR 28 2013 6 11 04 513-523 |
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de Mutsert, Renée @@aut@@ den Heijer, Martin @@aut@@ Rabelink, Ton Johannes @@aut@@ Smit, Johannes Willem Adriaan @@aut@@ Romijn, Johannes Anthonius @@aut@@ Jukema, Johan Wouter @@aut@@ de Roos, Albert @@aut@@ Cobbaert, Christa Maria @@aut@@ Kloppenburg, Margreet @@aut@@ le Cessie, Saskia @@aut@@ Middeldorp, Saskia @@aut@@ Rosendaal, Frits Richard @@aut@@ |
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de Mutsert, Renée |
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de Mutsert, Renée ddc 610 bkl 44.11 misc Cardiovascular disease misc Cohort misc Diabetes misc Epidemiology misc Obesity misc Study design The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection |
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610 ASE 44.11 bkl The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection Cardiovascular disease (dpeaa)DE-He213 Cohort (dpeaa)DE-He213 Diabetes (dpeaa)DE-He213 Epidemiology (dpeaa)DE-He213 Obesity (dpeaa)DE-He213 Study design (dpeaa)DE-He213 |
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ddc 610 bkl 44.11 misc Cardiovascular disease misc Cohort misc Diabetes misc Epidemiology misc Obesity misc Study design |
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The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection |
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The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection |
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European journal of epidemiology |
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de Mutsert, Renée den Heijer, Martin Rabelink, Ton Johannes Smit, Johannes Willem Adriaan Romijn, Johannes Anthonius Jukema, Johan Wouter de Roos, Albert Cobbaert, Christa Maria Kloppenburg, Margreet le Cessie, Saskia Middeldorp, Saskia Rosendaal, Frits Richard |
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netherlands epidemiology of obesity (neo) study: study design and data collection |
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The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection |
| abstract |
Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. |
| abstractGer |
Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. |
| abstract_unstemmed |
Abstract Obesity is a well-established risk factor for many chronic diseases. Incomplete insight exists in the causal pathways responsible for obesity-related disorders and consequently, in the identification of obese individuals at risk of these disorders. The Netherlands Epidemiology of Obesity (NEO) study is designed for extensive phenotyping to investigate pathways that lead to obesity-related diseases. The NEO study is a population-based, prospective cohort study that includes 6,673 individuals aged 45–65 years, with an oversampling of individuals with overweight or obesity. At baseline, data on demography, lifestyle, and medical history have been collected by questionnaires. In addition, samples of 24-h urine, fasting and postprandial blood plasma and serum, and DNA were collected. Participants underwent an extensive physical examination, including anthropometry, electrocardiography, spirometry, and measurement of the carotid artery intima-media thickness by ultrasonography. In random subsamples of participants, magnetic resonance imaging of abdominal fat, pulse wave velocity of the aorta, heart, and brain, magnetic resonance spectroscopy of the liver, indirect calorimetry, dual-energy X-ray absorptiometry, or accelerometry measurements were performed. The collection of data started in September 2008 and completed at the end of September 2012. Participants are followed for the incidence of obesity-related diseases and mortality. The NEO study investigates pathways that lead to obesity-related diseases. A better understanding of the mechanisms underlying the development of disease in obesity may help to identify individuals who are susceptible to the detrimental metabolic, cardiovascular and other consequences of obesity and has implications for the development of prevention and treatment strategies. |
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The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection |
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den Heijer, Martin Rabelink, Ton Johannes Smit, Johannes Willem Adriaan Romijn, Johannes Anthonius Jukema, Johan Wouter de Roos, Albert Cobbaert, Christa Maria Kloppenburg, Margreet le Cessie, Saskia Middeldorp, Saskia Rosendaal, Frits Richard |
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den Heijer, Martin Rabelink, Ton Johannes Smit, Johannes Willem Adriaan Romijn, Johannes Anthonius Jukema, Johan Wouter de Roos, Albert Cobbaert, Christa Maria Kloppenburg, Margreet le Cessie, Saskia Middeldorp, Saskia Rosendaal, Frits Richard |
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10.1007/s10654-013-9801-3 |
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