Lopes Johnnatas Mikael, Roncalli Angelo Giuseppe
Medicine course, Universidade Federal do Vale do São Francisco, Paulo Afonso, BA, Brazil.
Graduate Program in Collective Health, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.
Rev Bras Epidemiol. 2020;23:e200083. doi: 10.1590/1980-549720200083. Epub 2020 Jul 17.
Sleep is a dimension of well-being and health. Non-restful sleep is related to health dysfunctions, especially in vulnerable populations, considering that related factors change contextually. Thus, the objective of the present study was to measure the magnitude of the reduction in sleep restorative function (SRF) and related biopsychosocial factors in Brazilian elderly.
Secondary data from the 2013 National Health Survey of cross-sectional design were analyzed. The sample consisted of individuals as from 60 years old. The outcome considered was the prevalence of reduced self-perceived sleep restorative function (SRF). Health and sleep characteristics, emotional behavior, lifestyle, social support, and urbanization were all investigated. The association with outcome was measured with the prevalence ratio (PR) and estimated with Cox regression, assuming α ≤ 0.05.
SRF was reduced by 29.2% (95%CI 27.2 - 30.6%). It is related to depression (PR = 3.37; 95%CI 2.87 - 3.97), insomnia/sleepiness (PR = 2.45; 95%CI 2.14 - 2.79); behavioral oscillation (PR = 1.75; 95%CI 1.53 - 1.99), negative health perception (PR = 1.50; 95%CI 1.23 - 1.82), computer and internet (PR = 1.44; 95%CI 1.01 - 2.07) and functional difficulty (PR = 1.13; 95%CI 1.01 - 1.27). Living in urban areas (PR = 1.32; 95%CI 1.14 - 1.52) and having a chronic condition (PR = 1.58; 95%CI 1.11 - 2.40) were only associated to the worst situation of reduced SRF.
The reduction in SRF affects one third of the elderly in Brazil and is closely related to biopsychosocial factors, requiring intersectoral public health promotion approaches.
睡眠是幸福和健康的一个维度。睡眠不佳与健康功能障碍有关，尤其是在弱势群体中，因为相关因素会随环境变化。因此，本研究的目的是测量巴西老年人睡眠恢复功能（SRF）下降的幅度以及相关的生物心理社会因素。
分析了2013年全国健康调查的横断面设计的二手数据。样本包括60岁及以上的个体。所考虑的结果是自我感知睡眠恢复功能（SRF）下降的患病率。对健康和睡眠特征、情绪行为、生活方式、社会支持和城市化进行了全面调查。通过患病率比（PR）测量与结果的关联，并采用Cox回归进行估计，假设α≤0.05。
SRF下降了29.2%（95%可信区间27.2 - 30.6%）。它与抑郁（PR = 3.37；95%可信区间2.87 - 3.97）、失眠/嗜睡（PR = 2.45；95%可信区间2.14 - 2.79）、行为波动（PR = 1.75；95%可信区间1.53 - 1.99）、负面健康认知（PR = 1.50；95%可信区间1.23 - 1.82）、计算机和互联网使用（PR = 1.44；95%可信区间1.01 - 2.07）以及功能困难（PR = 1.13；95%可信区间1.01 - 1.27）有关。生活在城市地区（PR = 1.32；95%可信区间1.14 - 1.52）和患有慢性病（PR = 1.58；95%可信区间1.11 - 2.40）仅与SRF下降的更严重情况相关。
SRF下降影响了巴西三分之一的老年人，并且与生物心理社会因素密切相关，需要跨部门公共卫生促进方法。
