Sleep quality and risk of XXXX among young @entity1 .

@entity1 @entity6 @entity28 @entity854 @entity453 @entity25
AIMS: To assess the time-dependent effect of @entity25 on @entity453 ( @entity453 ) incidence among young adults. METHODS: Incident rates of @entity6 and @entity453 during a mean follow-up of 6.4      4.1  years were assessed among 26,023 @entity1 (mean age 30.9      5.6  years) of the Metabolic Lifestyle and Nutrition Assessment in Young Adults stratified by @entity25 at baseline, as assessed by the Mini-Sleep Questionnaire (MSQ). Incident @entity6 and @entity453 were analyzed using a Cox proportional hazard model. RESULTS: There were 445 cases of @entity6 and 92 cases of @entity453 during 151,312 @entity1 -years. An abnormal MSQ score was associated with a 53  % higher incidence of @entity6 (95  % CI 1.22-1.94, p  <  0.001) compared to those with a normal score, after adjustment for clinical and biochemical @entity6 risk factors. The increased risk associated with @entity25 remained when MSQ was modeled as a continuous time-dependent variable in a multivariable model (HR  =  1.036, 95  % CI 1.024-1.049, p  <  0.001). The increased risk was higher among overweight or @entity28 @entity1 (BMI and MSQ interaction p  =  0.046). @entity854 in MSQ score resulted in higher HR for @entity6 (2.35; 95  % CI 1.564-3.519, p  <  0.001). In addition, @entity25 was associated with a 2.38 higher incidence of @entity453 (95  % CI 1.38-4.11, p  =  0.002), after adjustment for traditional clinical and biochemical risk factors. CONCLUSIONS: Sleep quality contributes to the development of @entity6 and @entity453 in apparently healthy young adults in a time-dependent manner. The use of a simple questionnaire to assess @entity25 may be a useful tool for risk stratification in this population.
