基于创新理论的社区代谢综合征多重筛查:一项纵向研究。

Public Health Nursing (Boston, Mass.) Pub Date : 2022-01-01 Epub Date: 2022-01-04 DOI:10.1111/phn.13033
Angela Shin-Yu Lien, Sherry Yueh-Hsia Chiu, Sam Li-Sheng Chen, Jean Ching-Yuan Fann, Amy Ming-Fang Yen, Mei Chang Yeh, Meei-Fang Lou, Kuo-Chin Huang, Wayne Huey-Herng Sheu, Hsiu-Hsi Chen, Bih-Shya Gau
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引用次数: 0

摘要

本研究的目的是阐明代谢综合征是否会影响基于创新扩散理论的一种新的多种癌症筛查方案的采用率。在台湾基隆进行的10年内参加筛查方案的时间,利用来自79,303名居民的数据,以及从成人常规健康检查中积累的代谢综合征信息,通过创新性(创新者、早期适应者、早期多数、晚期多数和落后者)来评估。估计采用该方案的中位时间和代谢综合征及其严重程度评分的早期采用的相对比率。结果表明,采用该计划的估计时间从创新者的3个月到落后者的10年不等。没有代谢综合征的参与者的早期采用率比有代谢综合征的参与者高34%,并且注意到疾病严重程度的梯度关系。无疾病的参与者采用创新的调整中位数时间比有疾病的参与者早0.82年。与此同时,对于那些患有严重疾病的人,调整后的中位时间最长可达2.25年。这项研究表明,创新应该优先考虑代谢综合征人群的潜在风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Community-based multiple screening for metabolic syndrome by innovative theory: A longitudinal study.

The purpose of this research is to elucidate whether metabolic syndrome affects the rate of adoption of a new multiple cancer screening programme, based on the Diffusion of Innovation theory. The time to attend the screening programme, conducted in Keelung, Taiwan, within 10 years was assessed by innovativeness (innovators, early adaptors, early majority, late majority and laggard) using data from 79,303 residents, with the information on metabolic syndrome accrued from routine adult health check-ups. The median time of adopting the programme and the relative rates of early adoption by metabolic syndrome and its severity score were estimated. The results show that the estimated times to adopt the programme ranged from 3 months for innovators to 10 years for the laggard. The rate of early adoption was 34% higher for participants without metabolic syndrome than for those with the disease, and the gradient relationship of disease severity was noted. The adjusted median time to adopt innovativeness was 0.82 years earlier for participants who were disease-free than those with the disease. Meanwhile, the adjusted median time was wider by up to 2.25 years for those with severe disease. The study suggests that innovation should prioritise the potential risk of the metabolic syndrome population.

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