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心血管疾病患者的生活方式支持偏好:哪种生活方式支持可能对谁最有效?

Lifestyle support preferences of patients with cardiovascular diseases: What lifestyle support might work best for whom?

作者信息

Cohen Rodrigues Talia R, Reijnders Thomas, de Buisonjé David R, Breeman Linda D, van den Broek Inge, Janssen Veronica R, Kraaijenhagen Roderik A, Atsma Douwe E, Evers Andrea W M

机构信息

Health, Medical, and Neuropsychology Unit, Leiden University, the Netherlands.

Department of Human-Centered Design, Faculty of Industrial Design Engineering, TU Delft, Delft, the Netherlands.

出版信息

PEC Innov. 2022 Aug 17;1:100071. doi: 10.1016/j.pecinn.2022.100071. eCollection 2022 Dec.

DOI:10.1016/j.pecinn.2022.100071
PMID:37213735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10194186/
Abstract

BACKGROUND

Lifestyle support is essential in preventing and treating cardiovascular diseases (CVD), and eHealth may be an easy and affordable solution to provide this support. However, CVD patients vary in their ability and interest to use eHealth. This study investigates demographic characteristics determining CVD patients' online and offline lifestyle support preferences.

METHODS

We used a cross-sectional study design. 659 CVD patients (Harteraad panel) completed our questionnaire. We assessed demographic characteristics and preferred lifestyle support type (coach, eHealth, family/friends, self-supportive).

RESULTS

Respondents mostly preferred being self-supportive ( = 179, 27.2%), and a coach in a group or individually ( = 145, 22.0%; = 139, 21.1%). An app/internet to work independently ( = 89, 13.5%) or being in touch with other CVD patients ( = 44, 6.7%) was least preferred. Men were more likely to prefer being supported by family/friends ( = .016) or self-supportive ( < .001), while women preferred a coach individually or via an app/internet ( < .001). Older patients mostly preferred self-support ( = .001). Patients with low social support were more likely to prefer being coached individually ( < .001), but not support from family/friends ( = .002).

CONCLUSION

Men and older patients are more interested in being self-supportive, and patients with lower levels of social support could need extra support outside their social network. eHealth could provide a solution, but attention should be paid to spike interest for digital interventions among certain groups.

摘要

背景

生活方式支持对于预防和治疗心血管疾病(CVD)至关重要,而电子健康可能是提供这种支持的一种简便且经济实惠的解决方案。然而,CVD患者使用电子健康的能力和兴趣各不相同。本研究调查了决定CVD患者在线和离线生活方式支持偏好的人口统计学特征。

方法

我们采用横断面研究设计。659名CVD患者(哈特拉德小组)完成了我们的问卷调查。我们评估了人口统计学特征和偏好的生活方式支持类型(教练、电子健康、家人/朋友、自我支持)。

结果

受访者大多更喜欢自我支持(=179,27.2%),以及小组或单独的教练指导(=145,22.0%;=139,21.1%)。最不喜欢的是通过应用程序/互联网独立工作(=89,13.5%)或与其他CVD患者保持联系(=44,6.7%)。男性更倾向于家人/朋友的支持(=0.016)或自我支持(<0.001),而女性则更喜欢单独或通过应用程序/互联网接受教练指导(<0.001)。老年患者大多更喜欢自我支持(=0.001)。社会支持较低的患者更倾向于接受单独的教练指导(<0.001),但不太倾向于家人/朋友的支持(=0.002)。

结论

男性和老年患者对自我支持更感兴趣,社会支持水平较低的患者可能需要其社交网络之外的额外支持。电子健康可以提供一种解决方案,但应注意提高特定群体对数字干预的兴趣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4628/10194186/0d823841d638/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4628/10194186/0d823841d638/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4628/10194186/0d823841d638/gr1.jpg

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2
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Health Technol (Berl). 2021;11(2):359-366. doi: 10.1007/s12553-020-00516-4. Epub 2021 Jan 14.
3
Family support for physical activity post-myocardial infarction: A qualitative study exploring the perceptions of cardiac rehabilitation practitioners.
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Nurs Health Sci. 2021 Mar;23(1):227-236. doi: 10.1111/nhs.12806. Epub 2021 Jan 26.
4
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6
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8
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Eur J Prev Cardiol. 2019 May;26(8):824-835. doi: 10.1177/2047487318825350. Epub 2019 Feb 10.