Prevalence, metabolic features, and prognosis of metabolically healthy obese Italian individuals: the Cremona Study. - Wikidata - awgldk - TriplyDB

Prevalence, metabolic features, and prognosis of metabolically healthy obese Italian individuals: the Cremona Study.

Prevalence, metabolic features, and prognosis of metabolically healthy obese Italian individuals: the Cremona Study.

http://www.wikidata.org/entity/Q34422016

about

Beyond BMI: The "Metabolically healthy obese" phenotype & its association with clinical/subclinical cardiovascular disease and all-cause mortality -- a systematic review Dietary Interventions and Changes in Cardio-Metabolic Parameters in Metabolically Healthy Obese Subjects: A Systematic Review with Meta-Analysis The Obesity-Breast Cancer Conundrum: An Analysis of the Issues Does Metabolically Healthy Obesity Exist?New obesity classification criteria as a tool for bariatric surgery indication Multiple adipose depots increase cardiovascular risk via local and systemic effects Brd2 gene disruption causes "metabolically healthy" obesity: epigenetic and chromatin-based mechanisms that uncouple obesity from type 2 diabetes Inhibition of BET bromodomains as a therapeutic strategy for cancer drug discovery BET domain co-regulators in obesity, inflammation and cancer Profile of individuals who are metabolically healthy obese using different definition criteria. A population-based analysis in the Spanish population The long-term prognosis of cardiovascular disease and all-cause mortality for metabolically healthy obesity: a systematic review and meta-analysis.'Adipaging': ageing and obesity share biological hallmarks related to a dysfunctional adipose tissue.Metabolic health is a more important determinant for diabetes development than simple obesity: a 4-year retrospective longitudinal study.Relationship of ghrelin, acid uric and proinflammatory adipocytokines in different degrees of obesity or diabetes Relationship between Nonalcoholic Fatty Liver Disease and Vitamin D Nutritional Status in Extreme Obesity.Progression from metabolically benign to at-risk obesity in perimenopausal women: a longitudinal analysis of study of women across the nation (SWAN).Effects of weight loss in metabolically healthy obese subjects after laparoscopic adjustable gastric banding and hypocaloric diet.Insulin resistance, subclinical left ventricular remodeling, and the obesity paradox: MESA (Multi-Ethnic Study of Atherosclerosis).Plasma adipocytokines and antioxidants-status in Korean overweight and obese females with dyslipidemia.Metabolically healthy and unhealthy obesity phenotypes in the general population: the FIN-D2D Survey.Metabolically healthy obesity: definitions, determinants and clinical implications.The prevalence of metabolically healthy obesity: a systematic review and critical evaluation of the definitions used.Visceral and subcutaneous adipose tissue FDG uptake by PET/CT in metabolically healthy obese subjects.Consequences of obesity and weight loss: a devil's advocate position Metabolically normal obese people are protected from adverse effects following weight gain Obesity and metabolic phenotypes (metabolically healthy and unhealthy variants) are significantly associated with prevalence of elevated C-reactive protein and hepatic steatosis in a large healthy Brazilian population.The supplementation effects of peanut sprout on reduction of abdominal fat and health indices in overweight and obese women.Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status Associations between metabolic disorders and risk of cancer in Danish men and women--a nationwide cohort study.Influence of Obesity and Metabolic Disease on Carotid Atherosclerosis in Patients with Coronary Artery Disease (CordioPrev Study).Metabolically healthy obesity and risk of all-cause and cardiovascular disease mortality.Obesity phenotypes in midlife and cognition in early old age: the Whitehall II cohort study Risk of future depression in people who are obese but metabolically healthy: the English longitudinal study of ageing.Factors Associated with Cancer- and Non-Cancer-Related Deaths among Taiwanese Patients with Diabetes after 17 Years of Follow-Up All-cause mortality risk of metabolically healthy obese individuals in NHANES III.Weight status of the first-degree relatives of patients with type 2 diabetes based on the glucose tolerance test.Metabolic Health Is More Important than Obesity in the Development of Nonalcoholic Fatty Liver Disease: A 4-Year Retrospective Study.Individuals with Metabolically Healthy Overweight/Obesity Have Higher Fat Utilization than Metabolically Unhealthy Individuals.Metabolic health and weight: Understanding metabolically unhealthy normal weight or metabolically healthy obese patients.The intriguing metabolically healthy but obese phenotype: cardiovascular prognosis and role of fitness.

P2860

Q24618259-66AEBF11-68A7-4ECF-AE14-242713C2D021 Q26739960-8FA21C7E-6D02-45BF-A360-B866C7973F86 Q26747486-9B41A277-E525-454A-A11B-350C1C30EFD5 Q26748788-AE77A61E-6BD6-40A8-BDD0-23E2D9C9B597 Q26774656-E44DD793-8DB8-4F0F-A74F-C92863ECD33F Q26823676-78DB28D3-1309-49BC-8DB6-D1584DC812AF Q26996631-56906CC6-534A-47DE-B2C6-9A0A8EC2B592 Q28260105-3C61D434-F443-4F20-B911-5010EFEDE355 Q28269301-97C5AA16-A86A-44B8-A24C-D63CB5F21486 Q28542864-588152BE-C033-435A-87E9-D46D05A2F568 Q30251487-072CCCEC-6D08-4595-8CD1-1B0AB449062E Q30385053-220ED927-191A-41EE-BBA6-09B0E5BE6F87 Q33679596-EB666EA7-C82E-477D-80F0-AF7BB6B40E25 Q33816021-FB2661C4-6468-4CE1-9CCE-9A687C781BED Q33823038-38309075-1344-4153-806E-B0C5919D83F1 Q33837152-E043C784-0E3A-4C04-AA57-3363841B930A Q33847375-4746944C-0C34-4E96-BB4A-C5F722FC9A0B Q33966199-7DF31465-9483-4D74-8490-E89BBC9784E1 Q34006429-637944B2-E18E-41A9-82AC-6F3746282973 Q34036290-400C0347-27C9-44DC-97BB-D9B5AE1F88D4 Q34362808-B7035B74-EA5A-41D6-A1A1-6EC9D91E17B8 Q34429810-90DFC930-EE69-4AEF-9AA9-5D555333A911 Q35027669-0F70CD87-57F4-4734-8C5C-68ACEC1BEF8F Q35033491-74683285-7D91-4733-A17D-823DEBB39CE7 Q35056761-5C41ADC3-D65D-4605-B0BB-21B7E17D09F2 Q35206880-1976BE1B-7F01-45B4-9309-0CE1833C9384 Q35696804-316CC0C8-21B6-4579-B50F-3A7CB5F405BA Q35868237-A7132EC1-090E-440F-8AF2-6AED4597CA81 Q35930159-72E735CB-8BCB-49E0-AF7D-DEB56A739133 Q35985631-A692DC38-8A9D-419F-90E8-D148A7FFE829 Q36069825-4A9BCCC6-DC9A-4CF3-9B02-DCBEDC764F88 Q36170547-0623FE35-C6CE-4D8E-A636-9DA048DBF63C Q36192008-5E147FA8-CEC7-40F5-9DAB-FFCC643F973D Q36209639-25D3D388-9513-4A88-BBEA-C41F6247F984 Q36469090-89C09D9F-BFE6-4FF2-85BE-8A82F91BFEF8 Q36479955-A9F4266F-6926-4FD9-B30F-736CD8108826 Q36489160-3EC4A8A7-B90E-447A-BA2C-0B010F3DF8FA Q36507377-B87F8FB1-27C3-46FC-ADD3-2FAB14408FC6 Q36570776-D744765D-B397-42EE-9074-A42A432A73D7 Q36579758-699D1258-A301-4DE8-A66C-C092F70CA3EC

P2860

Prevalence, metabolic features, and prognosis of metabolically healthy obese Italian individuals: the Cremona Study.

http://www.wikidata.org/entity/Q34422016

description

2010 nî lūn-bûn

@nan

2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@ast

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@en

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@nl

type

label

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@ast

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@en

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@nl

prefLabel

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@ast

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@en

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@nl

P1433

Q34422016-4EEFAF9C-7805-4531-AC45-5240EFEAE554

P1476

Q34422016-8B7440E9-66CC-422E-AEED-463C9D509474

P2093

Q34422016-0D771DE7-224C-4F38-BCE3-FCA22EBA7F62

Q34422016-15001999-38AC-4893-A47D-7558AF57EA73

Q34422016-1BAFCFA1-005A-4651-9D46-4E7CA3D7CD30

Q34422016-32F38106-1A85-473C-97B7-BD4CBB2A81E9

Q34422016-489779F4-D784-4819-B2A5-CADF22736B9E

Q34422016-6BA6E098-516A-417A-96FE-E7639532EB04

Q34422016-8115FB78-3EEA-44DE-B5CD-92836BC08231

Q34422016-BF4F0B9C-0318-4F28-930C-D9AAA3F1CA68

Q34422016-ECB4FEC6-C2BD-45D2-857E-B2A35AD310A1

P2860

Q34422016-08597080-C321-4F9C-A955-3C52F52F1A7C

Q34422016-1DE0A6FD-7502-473F-89D5-34F544DA3F7E

Q34422016-2F698D60-F701-4ABB-BA11-29F96F3B2124

Q34422016-3312C690-226C-4929-9873-06A6D43220E9

Q34422016-43DDA52E-CDE9-4AD2-A77F-9D73547F630E

Q34422016-45DC6ED5-84CE-4FBE-B564-2036ED543132

Q34422016-558D2C6A-E079-4762-846A-EB7979346AD3

Q34422016-7EFD2474-8A42-4834-9730-D0E18214579E

Q34422016-946EFCC3-80AE-4CCA-8004-294AD792A73D

Q34422016-B8503376-C7D2-4B06-AFB0-FCB20C55504C

P304

Q34422016-3B1B42A4-12EE-40F9-AAD8-E0C64577CCF9

P31

Q34422016-F4BD71B5-C5DD-4C43-837F-756A5D326FC8

P356

Q34422016-EDCB525D-59DE-4CBA-9FAC-04E64FC6269A

P407

Q34422016-88D39A98-D360-4576-A996-F06036DC0A5C

P433

Q34422016-8D83A281-C526-442F-BC63-98C4C0A33BE0

P478

Q34422016-B3A33131-3332-477E-864C-3F05E4C28BC3

P50

Q34422016-579553FE-A2BA-41F0-8E0F-907CDED96A8E

Q34422016-62ABA721-F51D-4BA2-8F90-E2251B79F67F

Q34422016-860A534E-A7B3-4974-8BD7-B0FCC38111EC

P577

Q34422016-FEA63339-2B65-4BC9-AC22-5DE48C6A25F9

P5875

Q34422016-E394CB6E-3108-4DF7-A68C-58FF508BB65E

P698

Q34422016-5268F9F4-0E2C-4AC9-835C-720233C54E52

P921

Q34422016-41A15633-D84F-4AF8-8E20-79841465579B

Q34422016-9F188472-4CB3-4573-8F38-2C435AE79B01

P932

Q34422016-8F3355CF-9594-4149-9058-00341DF1612A

P356

P1433

P1476

Prevalence, metabolic features ...... ndividuals: the Cremona Study.

@en

P2093

Emanuele Bosi

http://www.w3.org/2001/XMLSchema#string

Francesca Ragogna

http://www.w3.org/2001/XMLSchema#string

Giacomo Ruotolo

http://www.w3.org/2001/XMLSchema#string

Giliola Calori

http://www.w3.org/2001/XMLSchema#string

Guido Lattuada

http://www.w3.org/2001/XMLSchema#string

Marco Villa

http://www.w3.org/2001/XMLSchema#string

Maria Paola Garancini

http://www.w3.org/2001/XMLSchema#string

Paolo Crosignani

http://www.w3.org/2001/XMLSchema#string

Salvatore Mannino

http://www.w3.org/2001/XMLSchema#string

P2860

Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man

What are the physical characteristics associated with a normal metabolic profile despite a high level of obesity in postmenopausal women?

Viewpoints on the way to a consensus session: where does insulin resistance start? The liver.

Clinical value of the metabolic syndrome for long term prediction of total and cardiovascular mortality: prospective, population based cohort study

Identification and characterization of metabolically benign obesity in humans.

Are metabolically normal but obese individuals at lower risk for all-cause mortality?

Impact of body mass index and the metabolic syndrome on the risk of cardiovascular disease and death in middle-aged men.

Body mass index, metabolic syndrome, and risk of type 2 diabetes or cardiovascular disease.

An Italian population-based study of the prevalence of diabetes: some methodological aspects.

Normal insulin sensitivity and IMCL content in overweight humans are associated with higher fasting lipid oxidation.

P304

210-215

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.2337/DC10-0665

http://www.w3.org/2001/XMLSchema#string

P407

P433

1

http://www.w3.org/2001/XMLSchema#string

P478

34

http://www.w3.org/2001/XMLSchema#string

P50

Lorenzo Piemonti

Gianluca Perseghin

P577

2010-10-11T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

47395488

http://www.w3.org/2001/XMLSchema#string

P698

20937689

http://www.w3.org/2001/XMLSchema#string

P921

P932

3005463

http://www.w3.org/2001/XMLSchema#string