Cross-sectional associations of objectively-measured sleep characteristics with obesity and type 2 diabetes in the PREDIMED-Plus trial

Rosique-Esteban, Núria; Papandreou, Christopher; Romaguera, Dora; Wärnberǵ, Julia; Corella, Dolores; Martínez‐González, Miguel Ángel; Díaz‐López, Andrés; Estruch, Ramón; Vioque, Jesús; Arós, Fernando; García‐Rios, Antonio; Bueno‐Cavanillas, Aurora; Vidal, Josep; Serra‐Majem, Lluís; Sibai, Abdurrahman Adlbi; Tinahones, Francisco J.; Martínez, J. Alfredo; Ordovás, José M.; Tur, Josep A.; Torrego-Ellacuría, Macarena; Sanllorente, Albert; Pintó, Xavier; Buil‐Cosiales, Pilar; Fernández-Carrión, Rebeca; Castañer, Olga; Bulló, Mònica; Ruiz‐Canela, Miguel; García‐de‐la‐Hera, Manuela; Pérez-Farinós, Napoleón; Barón-López, Francisco Javier; Colom, Antoni; Abete, Itziar; Ros, Emilio; Salas‐Salvadó, Jordi

doi:10.1093/sleep/zsy190

Cited by 43 publications

(29 citation statements)

References 36 publications

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“…Participants were asked to wear a wrist-worn triaxial accelerometer (GENEActiv, ActivInsights Ltd, Kimbolton, United Kingdom) on their nondominant wrist for 8 consecutive days. Detailed methods of accelerometer data analysis are reported elsewhere [15]. The average nocturnal sleep duration, and intra-subject standard deviation of the sleep duration were calculated.…”

Section: Methodsmentioning

confidence: 99%

Sleep Duration is Inversely Associated with Serum Uric Acid Concentrations and Uric Acid to Creatinine Ratio in an Elderly Mediterranean Population at High Cardiovascular Risk

et al. 2019

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The aim of the study was to evaluate sleep duration and sleep variability in relation to serum uric acid (SUA) concentrations and SUA to creatinine ratio. This is a cross-sectional analysis of baseline data from 1842 elderly participants with overweight/obesity and metabolic syndrome in the (Prevención con Dieta Mediterránea) PREDIMED-Plus trial. Accelerometry-derived sleep duration and sleep variability were measured. Linear regression models were fitted to examine the aforementioned associations. A 1 hour/night increment in sleep duration was inversely associated with SUA concentrations (β = −0.07, p = 0.047). Further adjustment for leukocytes attenuated this association (p = 0.050). Each 1-hour increment in sleep duration was inversely associated with SUA to creatinine ratio (β = −0.15, p = 0.001). The findings of this study suggest that longer sleep duration is associated with lower SUA concentrations and lower SUA to creatinine ratio.

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Section: Methodsmentioning

confidence: 99%

Sleep Duration is Inversely Associated with Serum Uric Acid Concentrations and Uric Acid to Creatinine Ratio in an Elderly Mediterranean Population at High Cardiovascular Risk

et al. 2019

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“…Likewise, other studies have found some common polymorphisms such as the transcription factor TCF7L2, which may be important in precision medicine as well as a potential predictive biomarker in patients with T2DM and obesity [ 50 ]. In addition, PREDIMED-Plus has also gained further insights into lifestyle interventions in an expanded way, including the monitoring of cognitive symptoms [ 51 ], quality of sleep and sleep patterns [ 52 ] and the importance of promoting and prescript moderate and moderate-to-vigorous physical activity for an improvement in inflammatory profiles and individual’s health [ 53 ].…”

Section: Clinical Management Of Diabesitymentioning

confidence: 99%

Type 2 Diabetes Mellitus Associated with Obesity (Diabesity). The Central Role of Gut Microbiota and Its Translational Applications

et al. 2020

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Obesity is a condition of rising prevalence worldwide, with important socioeconomic implications, being considered as a growing public health concern. Frequently, obesity brings other complications in addition to itself—like Type 2 Diabetes Mellitus (T2DM)—sharing origin, risk factors and pathophysiological mechanisms. In this context, some authors have decided to include both conditions as a unique entity known as “diabesity”. In fact, understanding diabesity as a single disease is possible to maximise the benefits from therapies received in these patients. Gut microbiota plays a key role in individual’s health, and their alterations, either in its composition or derived products are related to a wide range of metabolic disorders like T2DM and obesity. The present work aims to collect the different changes reported in gut microbiota in patients with T2DM associated with obesity and their possible role in the onset, development, and establishment of the disease. Moreover, current research lines to modulate gut microbiota and the potential clinical translation derived from the knowledge of this system will also be reviewed, which may provide support for a better clinical management of such a complex condition.

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“…However, replacing leisure‐time sedentary behavior with sleep may only be beneficial if it leads to a more optimal sleep duration, as prolonged sleep duration may also increase the risk, as may poor sleep quality, shift work, and specific sleep disturbances, such as abnormal sleep timing, sleep apnea, or insomnia 32 . This additional information on sleep characteristics was not available in the present study, but should be included in future ISM studies, as also pointed out by Rosique‐Estaban et al, 35 who found indications that sleep duration and sleep variability may act synergistically in relation to prevalence of type 2 diabetes 35 …”

Section: Discussionmentioning

confidence: 71%

Should leisure‐time sedentary behavior be replaced with sleep or physical activity for prevention of diabetes?

Aadahl

Andreasen

Petersen

et al. 2021

Scandinavian Med Sci Sports

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The aim was to examine the effects of replacing self‐reported leisure‐time sedentary behavior with sleep, light‐to‐moderate physical activity, or vigorous physical activity on incident diabetes among Danish adults using isotemporal substitution modeling. Participants ≥25 years from the Danish Capital Region Health Survey 2007 (N = 69 800, response rate 52.3%), 2010 (N = 95 150, response rate 52.3%), and 2013 (N = 95 150, response rate 43.5%) were included. Information on daily sleep duration, leisure‐time sedentary behavior, and movement behaviors was collected by questionnaire. Information on incident diabetes was obtained from National registers. Analyses included Cox proportional hazards regression models and isotemporal substitution analyses, with time (in years) from baseline to incident diabetes or censoring December 31, 2017. Potential confounders, sex, age, BMI, ethnicity, education, smoking, inflammatory joint disease, perceived stress, physical and mental component scale and work status, were included. Out of N = 87 339 in the final study sample, n = 3007 had incident diabetes during a mean follow‐up time of 7.4 years. Adults with incident diabetes included more men, higher mean age, and higher BMI, compared to respondents without incident diabetes. Theoretically substituting 30 minutes of leisure‐time sedentary behavior with light‐to‐moderate PA (HR: 0.96; 95% CI: 0.94; 0.98) or with vigorous PA (HR: 0.82; 95% CI: 0.72; 0.94) decreased the risk of incident diabetes. We found no change in incident diabetes risk of substituting sedentary time with sleep (HR: 1.00; 95% CI: 0.97; 1.02). Substituting 30 minutes per day of leisure‐time sedentary behavior with light‐to‐moderate or vigorous PA may significantly reduce the risk of incident diabetes among adults.

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Cross-sectional associations of objectively-measured sleep characteristics with obesity and type 2 diabetes in the PREDIMED-Plus trial

Cited by 43 publications

References 36 publications

Sleep Duration is Inversely Associated with Serum Uric Acid Concentrations and Uric Acid to Creatinine Ratio in an Elderly Mediterranean Population at High Cardiovascular Risk

Sleep Duration is Inversely Associated with Serum Uric Acid Concentrations and Uric Acid to Creatinine Ratio in an Elderly Mediterranean Population at High Cardiovascular Risk

Type 2 Diabetes Mellitus Associated with Obesity (Diabesity). The Central Role of Gut Microbiota and Its Translational Applications

Should leisure‐time sedentary behavior be replaced with sleep or physical activity for prevention of diabetes?

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