Li Zeming, Chen Ping, Sun Xinying
Department of Social Medicine, School of Public Health, Guangxi Medical University, Guagnxi, Nanning, China.
Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
Exp Gerontol. 2025 Jun 16;208:112813. doi: 10.1016/j.exger.2025.112813.
This study uses the technology acceptance model (TAM) as the theoretical framework to explore the predicting factors of intention to adopt wearable activity trackers and the actual wearing behavior among Chinese type 2 diabetes mellitus (T2DM) patients over 50 with different personality traits.
The wearable activity tracker (WAT) was freely distributed to T2DM patients recruited from 22 community health service stations affiliating to four community health service centers in Beijing. A questionnaire survey was conducted to examine predicting factors of adoption intention after a week's try-on. Actual wearing behavior for 30-day was obtained from the exclusive cloud. Latent profile analysis was used to explore personality portraits. Structural equation modeling (SEM) was used to analyze the data.
A total of 668 patients (age over 50) with T2DM were included in the analysis. According to the latent profile analysis, the T2DM patients in this study could be classified into four personality profiles: Negative, Anxious, Introverted-Stable (IS), and Active-Responsible (AR). The results of SEM indicated that perceived ease of use (PEOU, β = 0.37, P < 0.01), perceived usefulness (PU, β = 0.31, P < 0.01), social image (SI,β = 0.11, P < 0.01), and privacy concerns (PC, β = -0.50, P < 0.01) directly influenced behavioral intention. Neuroticism positively influenced SI (β = 0.18, P < 0.01). Conscientiousness and openness positively impacted PEOU (β = 0.20, P < 0.01; β = 0.09, P < 0.05). Agreeableness negatively influenced PC (β = -0.17, P < 0.01). Openness and extraversion positively impacted individual innovation(β = 0.15, P < 0.01; β = 0.17, P < 0.01).
Adoption intentions of WAT was the main factor influencing the actual wearing behavior of older patients with T2DM. PEOU, PU, and SI were the main facilitators of adoption intention, while PC was the main barrier. Different personality traits have their particular path of influence on WAT adoption intentions. It is recommended that future interventions with new devices or technologies for older patients with T2DM be carried out according to the preferences and needs of patients with different personality traits, such as product ease of use, innovativeness, and aesthetics, to promote patients' intention and actual use behaviors.
本研究以技术接受模型（TAM）为理论框架，探讨50岁以上不同性格特征的中国2型糖尿病（T2DM）患者采用可穿戴活动追踪器的意愿及实际佩戴行为的预测因素。
将可穿戴活动追踪器（WAT）免费分发给从北京四个社区卫生服务中心下属的22个社区卫生服务站招募的T2DM患者。在试戴一周后进行问卷调查，以检查采用意愿的预测因素。从专属云端获取30天的实际佩戴行为数据。采用潜在剖面分析来探索性格特征。使用结构方程模型（SEM）对数据进行分析。
共有668例50岁以上的T2DM患者纳入分析。根据潜在剖面分析，本研究中的T2DM患者可分为四种性格特征类型：消极型、焦虑型、内向稳定型（IS）和积极负责型（AR）。SEM结果表明，感知易用性（PEOU，β = 0.37，P < 0.01）、感知有用性（PU，β = 0.31，P < 0.01）、社会形象（SI，β = 0.11，P < 0.01）和隐私担忧（PC，β = -0.50，P < 0.01）直接影响行为意愿。神经质对SI有正向影响（β = 0.18，P < 0.01）。尽责性和开放性对PEOU有正向影响（β = 0.20，P < 0.01；β = 0.09，P < 0.05）。宜人性对PC有负向影响（β = -0.17，P < 0.01）。开放性和外向性对个体创新性有正向影响（β = 0.15，P < 0.01；β = 0.17，P < 0.01）。
WAT的采用意愿是影响老年T2DM患者实际佩戴行为的主要因素。PEOU、PU和SI是采用意愿的主要促进因素，而PC是主要障碍。不同性格特征对WAT采用意愿有其特定的影响路径。建议未来针对老年T2DM患者的新设备或新技术干预措施应根据不同性格特征患者的偏好和需求来开展，如产品易用性、创新性和美观性等，以促进患者意愿和实际使用行为。
