Delpino Felipe Mendes, Caputo Eduardo L, Arcêncio Ricardo Alexandre, Cassuriaga Júlia, Huckembeck Caroline Malue, Nunes Bruno Pereira, Rombaldi Airton José, Reichert Felipe Fossati, da Silva Marcelo Cozzensa, Feter Natan
Federal University of Pelotas, Postgraduate Program in Nursing, Pelotas, Rio Grande do Sul, Brazil.
University of São Paulo, Postgraduate Program in Nursing in Public Health, São Paulo, São Paulo, Brazil.
Sleep Sci. 2023 Apr 19;16(1):68-74. doi: 10.1055/s-0043-1767757. eCollection 2023 Mar.
To analyze the association of sleep duration and use of sleeping medication with multimorbidity. We conducted a cross-sectional study using data from the Prospective Study about Mental and Physical Health (PAMPA) cohort. Multimorbidity was defined as the presence of two or more conditions from a list of twelve health problems. Descriptive analyses were performed considering proportion and its 95% confidence interval (95%CI). We performed logistic regression (to obtain odds ratios, ORs) to estimate the associations, including models adjusted for confounding factors. In total, 2,936 participants were included, 79,1% of them women, 54.2% aged between 18 and 39 years, and 88.9% with white skin color. Compared with regular sleep (seven to eight hours a day), five hours or less of sleep increased the odds of multimorbidity by 145% (95%CI: 1.90-3.14), and 9 hours or more of sleep increased the odds by 49% (95%CI: 1.14-1.95) for the crude model; the results remained significant even in the adjusted models. Consumption of sleeping medication was associated with multimorbidity. Short and prolonged sleep duration increased the odds of multimorbidity, regardless of the sociodemographic and behavior characteristics. The regular use of sleeping medication was also associated with multimorbidity. The results of the present study are important but require caution due to reverse causality, and longitudinal studies are needed to confirm the findings.
分析睡眠时间和使用助眠药物与多种疾病并存之间的关联。 我们使用来自身心健康前瞻性研究(PAMPA)队列的数据进行了一项横断面研究。多种疾病并存被定义为在十二种健康问题列表中存在两种或更多种病症。进行描述性分析时考虑比例及其95%置信区间(95%CI)。我们进行逻辑回归(以获得比值比,OR)来估计关联,包括针对混杂因素进行调整的模型。 总共纳入了2936名参与者,其中79.1%为女性,54.2%年龄在18至39岁之间,88.9%为白种人。与规律睡眠(每天七至八小时)相比,睡眠五小时或更少会使多种疾病并存的几率增加145%(95%CI:1.90 - 3.14),而睡眠九小时或更长会使粗略模型中的几率增加49%(95%CI:1.14 - 1.95);即使在调整后的模型中,结果仍然显著。 使用助眠药物与多种疾病并存相关。无论社会人口统计学和行为特征如何,短睡眠时间和长睡眠时间都会增加多种疾病并存的几率。经常使用助眠药物也与多种疾病并存相关。本研究结果很重要,但由于存在反向因果关系,需要谨慎对待,需要进行纵向研究来证实这些发现。