School of Nursing, University of Michigan, Ann Abor, MI, USA.
School of Nursing, Indiana University, Indianapolis, IN, USA.
Aging Clin Exp Res. 2022 Sep;34(9):2071-2079. doi: 10.1007/s40520-022-02157-1. Epub 2022 Jun 8.
Sedentary behavior is a significant health risk. Emerging research suggests that mentally active sedentary behaviors (e.g., computer use and reading) are associated with better health than mentally passive sedentary behaviors (e.g., watching TV). However, these relationships are not well established in the literature, and little is known about the oldest old (age ≥ 80).
The aims of this study were to (1) identify distinct subgroups of oldest old adults based on six domains of sedentary behavior (watching TV, using a computer/tablet, talking to friends or family members, doing hobby or other activities, transportation, and resting/napping); and (2) compare health-related outcomes across identified subgroups, using the National Health and Aging Trends Study (NHATS) dataset.
Latent profile analysis was used to identify distinct profiles of sedentary behavior. Design-based linear and logistic regressions were used to examine associations between different profiles and health outcomes, accounting for socio-demographic characteristics.
A total of 852 participants were included. We identified four profiles and named them based on total sedentary time (ST) and passive/active pattern: "Medium-passive", "High-passive", "Low", "High-mentally active". Compared to the "High-passive" group, "Low" group and "High-mentally active" group were associated with fewer difficulties with activities of daily living, fewer problems limiting activities and higher cognitive function.
This study, with a national representative sample of the oldest old population, suggests that both total ST and sedentary behavior pattern matter when evaluating health outcomes of being sedentary. Interventions should encourage oldest old adults to reduce ST and especially target mentally passive ST.
久坐行为是一个重大的健康风险。新出现的研究表明，积极的精神久坐行为（例如，使用电脑和阅读）比消极的精神久坐行为（例如，看电视）与更好的健康相关。然而，这些关系在文献中尚未得到很好的证实，对于最年长的老年人（年龄≥80 岁）知之甚少。
本研究的目的是：（1）根据久坐行为的六个领域（看电视、使用电脑/平板电脑、与朋友或家人交谈、从事爱好或其他活动、交通和休息/打盹），识别最年长老年人的不同亚组；（2）使用国家健康老龄化趋势研究（NHATS）数据集，比较不同亚组之间的健康相关结果。
采用潜在剖面分析识别久坐行为的不同模式。基于设计的线性和逻辑回归用于检查不同模式与健康结果之间的关联，同时考虑社会人口特征。
共纳入 852 名参与者。我们确定了四个模式，并根据总久坐时间（ST）和被动/主动模式对其进行了命名：“中等被动”、“高被动”、“低”和“高精神活跃”。与“高被动”组相比，“低”组和“高精神活跃”组在日常生活活动困难较少、活动受限问题较少和认知功能较高方面存在差异。
本研究使用全国最年长老年人的代表性样本表明，评估久坐行为对健康的影响时，总 ST 和久坐行为模式都很重要。干预措施应鼓励最年长的老年人减少 ST，特别是针对精神上的被动 ST。
