Papandreou Christopher, Díaz-López Andrés, Babio Nancy, Martínez-González Miguel A, Bulló Mónica, Corella Dolores, Fitó Montse, Romaguera Dora, Vioque Jesús, Alonso-Gómez Ángel M, Wärnberg Julia, Martínez Alfredo J, Serra-Majem Lluís, Estruch Ramon, Fernández-García José C, Lapetra José, Pintó Xavier, Tur Josep A, Garcia-Rios Antonio, Bueno-Cavanillas Aurora, Delgado-Rodríguez Miguel, Matía-Martín Pilar, Daimiel Lidia, Martín-Sánchez Vicente, Vidal Josep, Vázquez Clotilde, Ros Emilio, Buil-Cosiales Pilar, Becerra-Tomas Nerea, Martinez-Lacruz Raul, Schröder Helmut, Konieczna Jadwiga, Garcia-de-la-Hera Manoli, Moreno-Rodriguez Anai, Barón-López Javier, Pérez-Farinós Napoleón, Abete Itziar, Bautista-Castaño Inmaculada, Casas Rosa, Muñoz-Garach Araceli, Santos-Lozano José M, Trias Ferran, Gallardo-Alfaro Laura, Ruiz-Canela Miguel, Barragan Rocio, Goday Alberto, Galmés-Panadés Aina M, González-Botella Andrés, Vaquero-Luna Jessica, Toledo Estefanía, Castañer Olga, Salas-Salvadó Jordi
Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain.
J Clin Med. 2019 Jul 19;8(7):1053. doi: 10.3390/jcm8071053.
Research examining associations between objectively-measured napping time and type 2 diabetes (T2D) is lacking. This study aimed to evaluate daytime napping in relation to T2D and adiposity measures in elderly individuals from the Mediterranean region. A cross-sectional analysis of baseline data from 2190 elderly participants with overweight/obesity and metabolic syndrome, in the PREDIMED-Plus trial, was carried out. Accelerometer-derived napping was measured. Prevalence ratios (PR) and 95% confidence intervals (CI) for T2D were obtained using multivariable-adjusted Cox regression with constant time. Linear regression models were fitted to examine associations of napping with body mass index (BMI) and waist circumference (WC). Participants napping ≥90 min had a higher prevalence of T2D (PR 1.37 (1.06, 1.78)) compared with those napping 5 to <30 min per day. Significant positive associations with BMI and WC were found in those participants napping ≥30 min as compared to those napping 5 to <30 min per day. The findings of this study suggest that longer daytime napping is associated with higher T2D prevalence and greater adiposity measures in an elderly Spanish population at high cardiovascular risk.
目前尚缺乏关于客观测量的午睡时间与2型糖尿病（T2D）之间关联的研究。本研究旨在评估地中海地区老年人的日间午睡与T2D及肥胖指标之间的关系。对PREDIMED-Plus试验中2190名超重/肥胖且患有代谢综合征的老年参与者的基线数据进行了横断面分析。通过加速度计测量午睡情况。使用多变量调整的Cox回归并固定时间，得出T2D的患病率比值（PR）和95%置信区间（CI）。拟合线性回归模型以研究午睡与体重指数（BMI）和腰围（WC）之间的关联。与每天午睡5至不到30分钟的参与者相比，午睡≥90分钟的参与者T2D患病率更高（PR 1.37（1.06，1.78））。与每天午睡5至不到30分钟的参与者相比，午睡≥30分钟的参与者的BMI和WC存在显著正相关。本研究结果表明，在心血管疾病高风险的西班牙老年人群中，较长的日间午睡时间与较高的T2D患病率及更大的肥胖指标相关。
