Heightened sleep propensity: a novel and high-risk sleep health phenotype in older adults

被引:27
作者
Wallace, M. L. [1 ,2 ]
Lee, S. [3 ]
Hall, M. H. [1 ]
Stone, K. L. [4 ]
Langsetmo, L. [5 ]
Redline, S. [6 ,7 ]
Schousboe, J. T. [8 ,9 ]
Ensrud, K. [5 ,10 ]
LeBlanc, E. S. [11 ]
Buysse, D. J. [1 ]
机构
[1] Univ Pittsburgh, Dept Psychiat, 3811 OHara St, Pittsburgh, PA 15213 USA
[2] Univ Pittsburgh, Dept Biostat, 130 De Soto St, Pittsburgh, PA 15261 USA
[3] Univ S Florida, Coll Behav & Community Sci, Sch Aging Studies, 4202 E Fowler Ave, Tampa, FL 33620 USA
[4] Calif Pacific Med Ctr Res Inst, Mission Hall,Second Floor,550 16th St, San Francisco, CA 94158 USA
[5] Univ Minnesota, Div Epidemiol & Community Hlth, 1300 S 2nd St,Suite 300, Minneapolis, MN 55454 USA
[6] Brigham & Womens Hosp, Dept Med, 25 Shattuck St, Boston, MA 02115 USA
[7] Harvard Med Sch, Beth Israel Deaconess Med Ctr, 25 Shattuck St, Boston, MA 02115 USA
[8] HealthPartners Inc, Pk Nicollet Clin, 3311 Old Shakopee Rd, Bloomington, MN 55425 USA
[9] HealthPartners Inc, Hlth Partners Inst, 3311 Old Shakopee Rd, Bloomington, MN 55425 USA
[10] Univ Minnesota, Dept Med, 401 E River Pkwy,VCRC Suite 131, Minneapolis, MN 55455 USA
[11] Kaiser Permanente Ctr Hlth Res NW, 3800 N Interstate Ave, Portland, OR 97227 USA
基金
美国国家卫生研究院;
关键词
Latent class analysis; Sleep health; Aging; Mortality; Sleep propensity; ALL-CAUSE MORTALITY; OSTEOPOROTIC FRACTURES; BONE-DENSITY; DURATION; MROS; MEN; ASSOCIATIONS; SYMPTOMS; INSOMNIA; SEX;
D O I
10.1016/j.sleh.2019.08.001
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objectives: To reveal sleep health phenotypes in older adults and examine their associations with time to 5-year all-cause and cardiovascular mortality. Design: Prospective longitudinal cohorts. Setting: The Study of Osteoporotic Fractures and Outcomes of Sleep Disorders in Older Men Study. Participants: N 1722 men and women aged >= 65 years matched 1:1 on sociodemographic and clinical measures. Measurements: Self-reported habitual sleep health characteristics (satisfaction, daytime sleepiness, timing, efficiency, and duration) measured at an initial visit and longitudinal follow-up for mortality. Results: Latent class analysis revealed 3 sleep health phenotypes: (1) heightened sleep propensity (HSP; medium to long duration, high sleepiness, high efficiency/satisfaction; n = 322), (2) average sleep (AS; medium duration, average efficiency, high satisfaction, low sleepiness; n = 1,109), and (3) insomnia with short sleep (ISS; short to medium duration, low efficiency/satisfaction, moderate sleepiness; n = 291). Phenotype predicted time to all-cause mortality (chi(2) = 9.4, P = .01), with HSP conferring greater risk than AS (hazard ratio [95% confidence interval] 1.48 [1.15-1.92]) or ISS (1.52 [1.07-2.17]), despite ISS reporting the poorest mental and physical health. Although sex did not formally moderate the relationship between phenotype and mortality, subgroup analyses indicated that these findings were driven primarily by women. Phenotype did not predict cardiovascular mortality. Conclusions: These analyses support the utility of examining multidimensional sleep health profiles by suggesting that the combination along sleep, high efficiency/satisfaction, and daytime sleepiness-previously identified as independent risk factors-may be components of a single high-risk sleep phenotype, HSP. Further investigation of sex differences and the mechanisms underlying mortality risk associated with HSP is warranted. (C) 2019 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:630 / 638
页数:9
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