Park Junhui, Kim Su Hyun, Kim Young Hoon, Lee Chang-Hyung
Department of Statistics and Data Science, Korea National Open University, Seoul, South Korea.
Industry-University Cooperation Foundation, Pukyong National University, Busan, South Korea.
PLoS One. 2025 Jun 9;20(6):e0324342. doi: 10.1371/journal.pone.0324342. eCollection 2025.
Understanding physical activity (PA) patterns in older adults is crucial for effectively promoting adherence to PA guidelines. However, measuring PA can be challenging because it involves a balance between ease of administration and accuracy of data collection. The primary objective of this study was to analyze PA levels in older Korean adults using both self-reported and objective accelerometer measures, and the secondary objective was to investigate the factors associated with adherence to PA guidelines.
Using data from the Korea National Health and Nutrition Examination Survey (KNHANES VII-2) 2017, we assessed 425 older adults who provided both self-reported and accelerometer data. Adherence to PA guidelines was evaluated using two different thresholds for the accelerometer data, each applied both strictly and with a tolerance of one to two minutes when defining a 10-minute bout.
Self-reported data indicated a 34% adherence rate, whereas accelerometer-based rates ranged from 16% to 62.8%, depending on the cutoff values and tolerance settings. Bland-Altman analyses demonstrated notable differences between subjective and objective measurements. In terms of correlates, the questionnaire data highlighted factors such as education and household income, whereas the accelerometer-based findings emphasized sex, age, hypertriglyceridemia, and low high-density lipoprotein cholesterol.
This study revealed substantial discrepancies in both moderate-to-vigorous PA adherence estimates and significant predictors when comparing self-reported surveys to accelerometer data among older adults. For estimating population-level adherence, in the absence of accelerometer cutoff values established by a specialized lab, both self-reported data and accelerometer measurements offer unique insights. Meanwhile, when analyzing the factors influencing PA adherence, accelerometer data may be preferable, as subjective biases in self-report can affect the observed correlates in statistical results.
了解老年人的身体活动（PA）模式对于有效促进其遵循PA指南至关重要。然而，测量PA可能具有挑战性，因为这涉及到管理的简便性与数据收集准确性之间的平衡。本研究的主要目的是使用自我报告和客观的加速度计测量方法分析韩国老年人的PA水平，次要目的是调查与遵循PA指南相关的因素。
利用2017年韩国国家健康与营养检查调查（KNHANES VII-2）的数据，我们评估了425名同时提供自我报告和加速度计数据的老年人。使用加速度计数据的两个不同阈值评估对PA指南的遵循情况，在定义10分钟的运动时段时，每个阈值都严格应用以及有一到两分钟的宽容度。
自我报告的数据显示遵循率为34%，而基于加速度计的遵循率根据截止值和宽容度设置在16%至62.8%之间。布兰德-奥特曼分析表明主观和客观测量之间存在显著差异。在相关因素方面，问卷数据突出了教育和家庭收入等因素，而基于加速度计的研究结果强调了性别、年龄、高甘油三酯血症和低高密度脂蛋白胆固醇。
本研究揭示了在比较老年人自我报告调查与加速度计数据时，中度至剧烈PA遵循估计值和重要预测因素方面存在重大差异。为了估计人群水平的遵循情况，在没有专业实验室确定的加速度计截止值的情况下，自我报告数据和加速度计测量都提供了独特的见解。同时，在分析影响PA遵循的因素时，加速度计数据可能更可取，因为自我报告中的主观偏差会影响统计结果中观察到的相关因素。
