Increased Adiposity Appraised with CUN-BAE Is Highly Predictive of Incident Hypertension. The SUN Project.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
22 Sep 2021
Historique:
received: 01 08 2021
revised: 28 08 2021
accepted: 18 09 2021
entrez: 23 10 2021
pubmed: 24 10 2021
medline: 20 11 2021
Statut: epublish

Résumé

Overweight and obesity are growing worldwide and strongly associated with hypertension. The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) index is proposed as an optimal indicator of body fatness. We aimed to investigate the association of body fat as captured by the CUN-BAE index with incident hypertension in a Mediterranean population. We assessed 15,950 participants of the SUN (Seguimiento Universidad de Navarra) prospective cohort (63.7% women) initially free of hypertension. Participants completed follow-up questionnaires biennially. A validated 136-item food-frequency questionnaire was administered at baseline. We used Cox models adjusted for multiple confounders. Among 12.3 years of median follow-up (interquartile range: 8.3, 15.0 years), 2160 participants reported having received a diagnosis of hypertension. We observed a strong direct association between progressively higher the CUN-BAE index at baseline and incident hypertension during follow-up in multivariable-adjusted models for men and women, even after further adjustment for BMI ≥ 30 kg/m

Identifiants

pubmed: 34684310
pii: nu13103309
doi: 10.3390/nu13103309
pmc: PMC8537177
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Ligia J Dominguez (LJ)

Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, 90127 Palermo, Italy.

Carmen Sayón-Orea (C)

Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Public Health Institute, 31003 Navarra, Spain.

Alfredo Gea (A)

Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Estefania Toledo (E)

Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Mario Barbagallo (M)

Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, 90127 Palermo, Italy.

Miguel A Martínez-González (MA)

Department of Preventive Medicine and Public Health, University of Navarra-IDISNA, 31008 Pamplona, Spain.
CIBER Fisiopatologia de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA 02115, USA.

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