Study Objectives: To identify weekly sleep trajectories (sleep pattern changing by day over a course of week) of specific characteristics and examine the associations between trajectory classes and obesity and hypertension. Methods: A total of 2043 participants (mean age 46.9, 65.5% female) completed at least 7 days of actigraphy aged 18-64 from the Sueño ancillary study of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Weekly sleep trajectories for three daily level measures (wake after sleep onset [WASO], daytime napping duration, and intranight instability index) were identified using latent class growth models. The outcomes were obesity and hypertension. Results: Using the trajectory with low-stable WASO as reference, the trajectory classes with increasing and high-concave patterns had significantly higher odds for obesity (OR 3.64 [1.23-10.84]) and hypertension (OR 5.25 [1.33, 20.82]), respectively. Compared with individuals with a low-stable napping duration trajectory, those with the high-concave pattern class were associated with hypertension (OR 2.27 [1.10-4.67]), and the association was mediated in part by obesity (OR 1.11 [1.00-1.22]). Individuals in the high intranight instability index trajectory had significantly larger likelihood for both obesity (OR 1.90 [1.26-2.86]) and hypertension (OR 1.86 [1.13-3.06]) compared with those in the low intranight instability index trajectory. Conclusions: Weekly trajectories varied for WASO, daytime napping duration, and intranight instability index. The trajectories with relatively larger values for these three measures were associated with greater risk for obesity and hypertension. These findings suggest that a stable pattern with relatively small weekly and nightly variability may be beneficial for cardiovascular health.
Study Objectives: To identify weekly sleep trajectories (sleep pattern changing by day over a course of week) of specific characteristics and examine the associations between trajectory classes and obesity and hypertension. Methods: A total of 2043 participants (mean age 46.9, 65.5% female) completed at least 7 days of actigraphy aged 18-64 from the Sueño ancillary study of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Weekly sleep trajectories for three daily level measures (wake after sleep onset [WASO], daytime napping duration, and intranight instability index) were identified using latent class growth models. The outcomes were obesity and hypertension. Results: Using the trajectory with low-stable WASO as reference, the trajectory classes with increasing and high-concave patterns had significantly higher odds for obesity (OR 3.64 [1.23-10.84]) and hypertension (OR 5.25 [1.33, 20.82]), respectively. Compared with individuals with a low-stable napping duration trajectory, those with the high-concave pattern class were associated with hypertension (OR 2.27 [1.10-4.67]), and the association was mediated in part by obesity (OR 1.11 [1.00-1.22]). Individuals in the high intranight instability index trajectory had significantly larger likelihood for both obesity (OR 1.90 [1.26-2.86]) and hypertension (OR 1.86 [1.13-3.06]) compared with those in the low intranight instability index trajectory. Conclusions: Weekly trajectories varied for WASO, daytime napping duration, and intranight instability index. The trajectories with relatively larger values for these three measures were associated with greater risk for obesity and hypertension. These findings suggest that a stable pattern with relatively small weekly and nightly variability may be beneficial for cardiovascular health.
Authors: Mohammmad Soltani; Mohammad R Haytabakhsh; Jake M Najman; Gail M Williams; Michael J O'Callaghan; William Bor; Kaeleen Dingle; Alexandra Clavarino Journal: Arch Womens Ment Health Date: 2012-05-15 Impact factor: 3.633
Authors: E J van Someren; E E Hagebeuk; C Lijzenga; P Scheltens; S E de Rooij; C Jonker; A M Pot; M Mirmiran; D F Swaab Journal: Biol Psychiatry Date: 1996-08-15 Impact factor: 13.382
Authors: Sanjay R Patel; Jia Weng; Michael Rueschman; Katherine A Dudley; Jose S Loredo; Yasmin Mossavar-Rahmani; Maricelle Ramirez; Alberto R Ramos; Kathryn Reid; Ashley N Seiger; Daniela Sotres-Alvarez; Phyllis C Zee; Rui Wang Journal: Sleep Date: 2015-09-01 Impact factor: 5.849
Authors: Paul D Sorlie; Larissa M Avilés-Santa; Sylvia Wassertheil-Smoller; Robert C Kaplan; Martha L Daviglus; Aida L Giachello; Neil Schneiderman; Leopoldo Raij; Gregory Talavera; Matthew Allison; Lisa Lavange; Lloyd E Chambless; Gerardo Heiss Journal: Ann Epidemiol Date: 2010-08 Impact factor: 3.797
Authors: Martha L Daviglus; Gregory A Talavera; M Larissa Avilés-Santa; Matthew Allison; Jianwen Cai; Michael H Criqui; Marc Gellman; Aida L Giachello; Natalia Gouskova; Robert C Kaplan; Lisa LaVange; Frank Penedo; Krista Perreira; Amber Pirzada; Neil Schneiderman; Sylvia Wassertheil-Smoller; Paul D Sorlie; Jeremiah Stamler Journal: JAMA Date: 2012-11-07 Impact factor: 56.272
Authors: S R Patel; A L Hayes; T Blackwell; D S Evans; S Ancoli-Israel; Y K Wing; K L Stone Journal: Int J Obes (Lond) Date: 2014-01-24 Impact factor: 5.095
Authors: Angela Cristina Bizzotto Trude; Bridget Armstrong; Adriana Kramer Fiala Machado; Emerson M Wickwire; Lauren B Covington; Yan Wang; Erin Hager; Maureen M Black Journal: Sleep Health Date: 2022-02-11