Chen Jiaren, Lai Ting-Fu, Chung Yen-Yu, Park Jong-Hwan, Liao Yung
Graduate Institute of Sport, Leisure and Hospitality Management, National Taiwan Normal University, Taipei, Taiwan.
Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
BMJ Open. 2024 Dec 28;14(12):e086240. doi: 10.1136/bmjopen-2024-086240.
Phase angle (PhA) is a prognostic factor for predicting and monitoring geriatric syndromes. However, multiple factors associated with increased PhA values as an outcome remain unclear in the older population. This study aimed to examine the association of socio-demographic, anthropometric and behavioural factors with PhA among older Taiwanese adults.
This cross-sectional study was conducted between May and August 2023.
The study was carried out in northern Taiwan, specifically Taipei city and Yilan county.
Participants aged ≥65 years who were able to walk independently and had no artificial implants, such as cardiac pacemakers or joint replacements, were recruited using convenience sampling. A total of 198 participants were initially recruited for this study.
Data on socio-demographic and behavioural variables were collected using self-administered questionnaires. Anthropometric variables and PhA were measured using a multi-frequency bioelectrical impedance analyser (MC-780MA, TANITA). PhA was categorised into 'high' and 'low' using gender-specific cut-off points. A logistic regression analysis was performed.
A total of 152 participants (mean age: 72.0±5.5 years; 121 women (79.6%)) were included. Male (OR=0.72, 95% CI=0.02 to 0.33), unmarried (OR=0.22, 95% CI=0.06 to 0.82) and unemployed older adults (OR=0.16, 95% CI=0.03 to 0.87) were less probable to achieve high PhA values. After adjusting for potential confounders, older individuals with an increased body mass index (BMI) (OR=2.56, 95% CI=1.61 to 4.07) and greater muscle mass (OR=1.34, 95% CI=1.12 to 1.60) may have higher PhA values, whereas those with a greater fat mass may have lower PhA values (OR=0.61, 95% CI=0.48 to 0.78). No significant associations were observed between behavioural factors and PhA values.
The interventions designed to improve PhA should prioritise strategies tailored to male, unmarried or unemployed older adults, as well as those with low BMI, low muscle mass and high fat mass. Future studies with larger sample sizes are needed to confirm and strengthen our findings.
相位角（PhA）是预测和监测老年综合征的一个预后因素。然而，在老年人群体中，作为一种结果，与PhA值升高相关的多种因素仍不明确。本研究旨在探讨台湾老年成年人的社会人口学、人体测量学和行为因素与PhA之间的关联。
本横断面研究于2023年5月至8月进行。
研究在台湾北部，具体为台北市和宜兰县开展。
采用便利抽样法招募年龄≥65岁、能够独立行走且没有人工植入物（如心脏起搏器或关节置换物）的参与者。本研究最初共招募了198名参与者。
使用自填式问卷收集社会人口学和行为变量的数据。使用多频生物电阻抗分析仪（MC - 780MA，百利达）测量人体测量变量和PhA。根据特定性别的临界值将PhA分为“高”和“低”两类。进行逻辑回归分析。
共纳入152名参与者（平均年龄：72.0±5.5岁；121名女性（79.6%））。男性（比值比=0.72，95%置信区间=0.02至0.33）、未婚者（比值比=0.22，95%置信区间=0.06至0.82）和失业的老年人（比值比=0.16，95%置信区间=0.03至0.87）达到高PhA值的可能性较小。在对潜在混杂因素进行调整后，体重指数（BMI）升高的老年人（比值比=2.56，95%置信区间=1.61至4.07）和肌肉量较大的老年人（比值比=1.34，95%置信区间=1.12至1.60）可能具有较高的PhA值，而脂肪量较大的老年人PhA值可能较低（比值比=0.61，95%置信区间=0.48至0.78）。未观察到行为因素与PhA值之间存在显著关联。
旨在改善PhA的干预措施应优先考虑针对男性、未婚或失业的老年人，以及BMI低、肌肉量低和脂肪量高的人群量身定制的策略。需要开展样本量更大的未来研究来证实和强化我们的研究结果。
