Laboratory of Aging, Resources and Rheumatology, Department of Health Sciences, Federal University of Santa Catarina (UFSC), Campus Araranguá, Rod. Governador Jorge Lacerda, Urussanguinha, Araranguá, 3201, 88906-072, Santa Catarina, Brazil.
Post-Graduate Program in Neuroscience, Federal University of Santa Catarina (UFSC), Florianópolis, Santa Catarina, Brazil.
BMC Public Health. 2023 May 26;23(1):978. doi: 10.1186/s12889-023-15965-5.
Sleep problems are frequent in older adults and are associated with chronic diseases. However, the association with multimorbidity patterns is still unknown. Considering the negative impacts that multimorbidity patterns can have on older adults' life, knowledge of this association can help in the screening and early identification of older adults with sleep problems. The objective was to verify the association between sleep problems and multimorbidity patterns in older Brazilian adults.
This was a cross-sectional study conducted with data from 22,728 community-dwelling older adults from the 2019 National Health Survey. The exposure variable was self-reported sleep problems (yes/no). The study outcomes were: multimorbidity patterns, analyzed by self-report of the coexistence of two or more chronic diseases with similar clinical characteristics: (1) cardiopulmonary; (2) vascular-metabolic; (3) musculoskeletal; (4) coexisting patterns.
Older adults with sleep problems had 1.34 (95%CI: 1.21; 1.48), 1.62 (95%CI: 1.15; 2.28), 1.64 (95%CI: 1.39; 1.93), and 1.88 (95%CI: 1.52; 2.33) greater odds of presenting vascular-metabolic, cardiopulmonary, musculoskeletal, and coexisting patterns, respectively.
These results suggest that public health programs aimed at preventing sleep problems in older adults are essential to reduce possible adverse health outcomes, including multimorbidity patterns and their negative consequences for older adults' health.
睡眠问题在老年人中很常见,并且与慢性疾病有关。然而,其与多种疾病模式的关联尚不清楚。考虑到多种疾病模式可能对老年人生活产生的负面影响,了解这种关联有助于对有睡眠问题的老年人进行筛查和早期识别。本研究旨在验证巴西老年人群中睡眠问题与多种疾病模式之间的关联。
这是一项横断面研究,使用了 2019 年全国健康调查中 22728 名社区居住的老年人群的数据。暴露变量为自我报告的睡眠问题(是/否)。研究结果为:多种疾病模式,通过自我报告同时存在两种或多种具有相似临床特征的慢性疾病来分析:(1)心肺;(2)血管代谢;(3)肌肉骨骼;(4)共存模式。
有睡眠问题的老年人出现血管代谢、心肺、肌肉骨骼和共存模式的几率分别为 1.34(95%CI:1.21;1.48)、1.62(95%CI:1.15;2.28)、1.64(95%CI:1.39;1.93)和 1.88(95%CI:1.52;2.33)。
这些结果表明,预防老年人睡眠问题的公共卫生计划对于减少可能的不良健康结果(包括多种疾病模式及其对老年人健康的负面影响)至关重要。