Naeem Syed, Jones Tyler, Daniel Joseph, Mehawej Jordy, Filippaios Andreas, Paul Tenes, Wang Ziyue, Howard-Wilson Sakeina, Lessard Darleen, Ding Eric, Otabil Edith Mensah, Noorishirazi Kamran, Soni Apurv, Saczynski Jane, Tran Khanh-Van, McManus David
Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA, USA.
Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, USA.
Cardiol Cardiovasc Med. 2024;8(5):433-439. doi: 10.26502/fccm.92920404. Epub 2024 Oct 11.
Timely detection of atrial fibrillation (AF) is critical for stroke prevention. Smartwatches are FDA-approved devices that can now aide in this detection.
Investigate how socioeconomic status is associated with self-reported psychosocial outcomes, including anxiety, patient activation, and health-related quality of life in stroke survivors using smartwatch for AF detection.
We analyzed data from the Pulsewatch study, a randomized controlled trial (NCT03761394). Participants in the intervention group wore a cardiac patch monitor in addition to a smartwatch for AF detection, whereas the control group wore only the cardiac patch monitor. Generalized anxiety disorder-7 scale, Consumer Health Activation Index and short-form health survey were completed to assess anxiety, patient activation, physical and mental health status at baseline, 14, and 44 days. We used a longitudinal linear regression model to examine changes in psychosocial outcomes in low (<$50K) vs. high (>$50K) income groups.
A total of 95 participants (average age 64.9± 9.1 years; 57.9% male; 89.5% non-Hispanic white) were included. History of renal disease (p-value 0.029), statin use (p-value 0.034), depression (p-value 0.004), and anxiety (p-value <0.001), were different between the income groups. In the adjusted model, the low-income group was associated with increased anxiety (β 2.75, p-value 0.0003), and decreased physical health status (β -5.07, p-value 0.02). There was no change identified in self-reported patient engagement and mental health status score.
Our findings demonstrate that low SES is associated with worse self-reporting of physical health status, and this may influence psychosocial outcomes in smartwatch users.
及时检测心房颤动（AF）对于预防中风至关重要。智能手表是经美国食品药品监督管理局（FDA）批准的设备，现在可以辅助进行这种检测。
调查社会经济地位如何与自我报告的心理社会结果相关，包括使用智能手表进行房颤检测的中风幸存者的焦虑、患者激活和健康相关生活质量。
我们分析了来自Pulsewatch研究的数据，这是一项随机对照试验（NCT03761394）。干预组的参与者除了佩戴智能手表进行房颤检测外，还佩戴了心脏贴片监测器，而对照组仅佩戴心脏贴片监测器。在基线、第14天和第44天完成广泛性焦虑障碍-7量表、消费者健康激活指数和简短健康调查，以评估焦虑、患者激活、身体和心理健康状况。我们使用纵向线性回归模型来检查低收入（<$50K）与高收入（>$50K）组心理社会结果的变化。
共纳入95名参与者（平均年龄64.9±9.1岁；57.9%为男性；89.5%为非西班牙裔白人）。收入组之间的肾病病史（p值0.029）、他汀类药物使用（p值0.034）、抑郁症（p值0.004）和焦虑症（p值<0.001）存在差异。在调整模型中，低收入组与焦虑增加（β2.75，p值0.0003）和身体健康状况下降（β-5.07，p值0.02）相关。自我报告的患者参与度和心理健康状况评分没有变化。
我们的研究结果表明，低社会经济地位与身体健康状况的自我报告较差有关，这可能会影响智能手表用户的心理社会结果。
