Alice Laudisio1, Stefania Bandinelli2, Antonella Gemma3, Luigi Ferrucci4, Raffaele Antonelli Incalzi1. 1. Geriatrics Section, Campus Bio-Medico University, Rome, Italy. 2. Geriatric Rehabilitation Unit, Azienda Sanitaria di Firenze, Florence, Italy. 3. UOS Accesso e Presa in Carico Assistenziale, Azienda Sanitaria Locale Roma E, Rome, Italy. 4. Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland.
Abstract
OBJECTIVES: To assess the association between metabolic syndrome (MetS) and hemoglobin levels in older adults. DESIGN: The Invecchiare in Chianti (InCHIANTI) Study, a cohort study with a 6-year follow-up. SETTING: Tuscany, Italy. PARTICIPANTS: Adults aged 65 and older (N = 1,036). MEASUREMENTS: MetS was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III criteria. The adjusted association between baseline hemoglobin and MetS was assessed using multivariable linear regression with hemoglobin as a continuous variable and using logistic regression with median hemoglobin level as the reference. Logistic regression was also performed with any incident decline in hemoglobin levels as the dependent variable. RESULTS: MetS was diagnosed in 263 (25%) participants. At baseline, MetS was associated with higher hemoglobin levels (B = 0.18, 95% confidence interval (CI) = 0.03-0.33, P = .02) and with hemoglobin levels above the median value (odds ratio (OR) = 1.65, 95% CI = 1.17-2.32, P = .004) after adjusting. After 6 years, MetS was associated with lower adjusted probability of lower hemoglobin levels (OR = 0.34, 95% CI = 0.15-0.79, P = .012) but only in the oldest tertile of participants. CONCLUSION: MetS is associated with higher hemoglobin levels in older subjects and with lower probability of hemoglobin loss over 6 years in those in the oldest age group.
OBJECTIVES: To assess the association between metabolic syndrome (MetS) and hemoglobin levels in older adults. DESIGN: The Invecchiare in Chianti (InCHIANTI) Study, a cohort study with a 6-year follow-up. SETTING: Tuscany, Italy. PARTICIPANTS: Adults aged 65 and older (N = 1,036). MEASUREMENTS: MetS was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III criteria. The adjusted association between baseline hemoglobin and MetS was assessed using multivariable linear regression with hemoglobin as a continuous variable and using logistic regression with median hemoglobin level as the reference. Logistic regression was also performed with any incident decline in hemoglobin levels as the dependent variable. RESULTS: MetS was diagnosed in 263 (25%) participants. At baseline, MetS was associated with higher hemoglobin levels (B = 0.18, 95% confidence interval (CI) = 0.03-0.33, P = .02) and with hemoglobin levels above the median value (odds ratio (OR) = 1.65, 95% CI = 1.17-2.32, P = .004) after adjusting. After 6 years, MetS was associated with lower adjusted probability of lower hemoglobin levels (OR = 0.34, 95% CI = 0.15-0.79, P = .012) but only in the oldest tertile of participants. CONCLUSION: MetS is associated with higher hemoglobin levels in older subjects and with lower probability of hemoglobin loss over 6 years in those in the oldest age group.
Authors: Brenda W J H Penninx; Marco Pahor; Richard C Woodman; Jack M Guralnik Journal: J Gerontol A Biol Sci Med Sci Date: 2006-05 Impact factor: 6.053
Authors: Paul Stolee; Jeff Poss; Richard J Cook; Kerry Byrne; John P Hirdes Journal: J Gerontol A Biol Sci Med Sci Date: 2009-02-05 Impact factor: 6.053
Authors: M Ferraroni; A Decarli; S Franceschi; C La Vecchia; L Enard; E Negri; M Parpinel; S Salvini Journal: Int J Epidemiol Date: 1996-08 Impact factor: 7.196
Authors: Graziano Onder; Brenda W J H Penninx; Matteo Cesari; Stefania Bandinelli; Fulvio Lauretani; Benedetta Bartali; Anna Maria Gori; Marco Pahor; Luigi Ferrucci Journal: J Gerontol A Biol Sci Med Sci Date: 2005-09 Impact factor: 6.053
Authors: Audrey H Wu; Bertram Pitt; Stefan D Anker; John Vincent; Marjan Mujib; Ali Ahmed Journal: Eur J Heart Fail Date: 2010-03-30 Impact factor: 15.534
Authors: Olubukola O Nafiu; Sachin Kheterpal; Ruairi Moulding; Paul Picton; Kevin K Tremper; Darrell A Campbell; Jonathan L Eliason; James C Stanley Journal: Anesth Analg Date: 2010-12-02 Impact factor: 5.108
Authors: P Ferrari; N Slimani; A Ciampi; A Trichopoulou; A Naska; C Lauria; F Veglia; H B Bueno-de-Mesquita; M C Ocké; M Brustad; T Braaten; M José Tormo; P Amiano; I Mattisson; G Johansson; A Welch; G Davey; K Overvad; A Tjønneland; F Clavel-Chapelon; A Thiebaut; J Linseisen; H Boeing; B Hemon; E Riboli Journal: Public Health Nutr Date: 2002-12 Impact factor: 4.022
Authors: Gülmisal Güder; Stefan Frantz; Johann Bauersachs; Bruno Allolio; Christoph Wanner; Michael T Koller; Georg Ertl; Christiane E Angermann; Stefan Störk Journal: Circ Heart Fail Date: 2009-09-24 Impact factor: 8.790
Authors: Päivi Hämäläinen; Juha Saltevo; Hannu Kautiainen; Pekka Mäntyselkä; Mauno Vanhala Journal: Lipids Health Dis Date: 2018-01-10 Impact factor: 3.876