SwePub
Sök i LIBRIS databas

  Extended search

L773:1861 0692
 

Search: L773:1861 0692 > Obesity and metabol...

Obesity and metabolic features associated with long-term developing diastolic dysfunction in an initially healthy population-based cohort

Chau, Kénora (author)
University of Lorraine
Girerd, Nicolas (author)
University of Lorraine
Magnusson, Martin (author)
Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Department of Clinical Sciences, Malmö,Faculty of Medicine,Cardiovascular Research - Hypertension,Lund University Research Groups,Skåne University Hospital
show more...
Lamiral, Zohra (author)
University of Lorraine
Bozec, Erwan (author)
University of Lorraine
Merckle, Ludovic (author)
University of Lorraine
Leosdottir, Margret (author)
Lund University,Lunds universitet,Hjärt-MR-gruppen i Lund,Forskargrupper vid Lunds universitet,Lund Cardiac MR Group,Lund University Research Groups,Skåne University Hospital
Bachus, Erasmus (author)
Skåne University Hospital
Frikha, Zied (author)
University of Lorraine
Ferreira, João Pedro (author)
University of Lorraine
Després, Jean Pierre (author)
Institut universitaire de cardiologie et de pneumologie de Québec,Laval University
Rossignol, Patrick (author)
University of Lorraine
Boivin, Jean Marc (author)
University of Lorraine
Zannad, Faiez (author)
University of Lorraine
show less...
 (creator_code:org_t)
2018-04-21
2018
English.
In: Clinical Research in Cardiology. - : Springer Science and Business Media LLC. - 1861-0684 .- 1861-0692. ; 107:10, s. 887-896
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Background: Diastolic dysfunction (DD) is increasingly common. However, its metabolic determinants are poorly known. This study aims to determine which metabolic and inflammatory features predict DD in initially healthy adults. Methods: We prospectively analyzed the association between metabolic features and DD in 728 initially healthy adults aged 30–60 from Eastern France enrolled in the STANISLAS population-based cohort. Clinical and biological cardiovascular features were collected at baseline (1994–1995). DD was assessed twenty years later (2011–2016) by echocardiography using current international guidelines. For replication purposes, 1463 subjects from the Malmö Preventive Project cohort were analyzed. Results: In the STANISLAS cohort, 191 subjects (26.2%) developed DD. In age-sex-adjusted logistic models, significant predictors of DD were body mass index (BMI, odds ratio for 1-standard-deviation increase (OR) 1.28, 95% CI 1.08–1.52), waist circumference (WC, OR 1.48, 95% CI 1.18–1.84), waist-hip ratio (OR 1.53, 95% CI 1.16–2.02), systolic blood pressure (OR 1.19, 95% CI 1.00–1.43) and triglycerides (TG, OR 1.18, 95% CI 1.00–1.40). Subjects with elevated WC (> 80th percentile) and TG (> 50th percentile) had a twofold higher DD risk (age-sex-adjusted odds ratio 2.00, 95% CI 1.20–3.31, P = 0.008), whereas no such interplay was observed for BMI. In the Malmö cohort, BMI was similarly associated with DD; participants with both elevated BMI and TG were at higher DD risk (age-sex-adjusted odds ratio 1.61, 95% CI 1.18–2.20, P = 0.002). Conclusions: Subjects with elevated WC and TG may have a higher long-term DD risk. Prevention targeting visceral obesity may help reduce the incidence of DD.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Keyword

Blood pressure
Cohort study
Diastolic dysfunction
Healthy adults
Triglycerides
Visceral fat

Publication and Content Type

art (subject category)
ref (subject category)

Find in a library

To the university's database

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view