Korea Institute for Health and Social Affairs, Sejong 30147, Republic of Korea.
Department of Public Health, Sahmyook University, Seoul 01795, Republic of Korea.
Nutrients. 2024 Jul 1;16(13):2099. doi: 10.3390/nu16132099.
Chronic diseases contribute to 68% of global mortality, highlighting the importance of early detection and management of conditions such as metabolic syndrome. Effective lifestyle interventions, particularly through mobile health (mHealth), have shown potential in promoting health and reducing cardiometabolic risk. This study utilized mHealth data from public health centers in South Korea, targeting adults with risk factors for metabolic syndrome. The Intervention-Motivation-Behavioral skills (IMB) theoretical model was applied to categorize participants' practice patterns over time using the Group-Based Trend Model (GBTM). And the Generalized Estimating Equations (GEE) methodology was applied to confirm the effective practice patterns for improving metabolic syndrome. Data were collected over 24 weeks. The dataset encompasses life-log data capable of capturing changes in intervention, self-report surveys, and clinical measurements, all linked to personal identification keys and thereby integrated. Participants demonstrated improved health behaviors, with the healthy eating score increasing from 5.0 to 6.4 and physical activity rates rising from 41.5% to 59%. Health risk factors decreased significantly, with the mean number of risk factors dropping from 2.4 to 1.4. The percentage of subjects with three or more metabolic syndrome components decreased from 42.3% in the initial period to 19.2% in the final period. Practice patterns by IMB components were classified into three categories: continuous type, late decline type, and early decline type. Improvements in health behavior and metabolic syndrome were observed in the continuous type of each IMB component. The mHealth interventions were confirmed to be positively associated with improved health behavior and management of metabolic syndrome in the continuous practice patterns of IMB.
慢性病导致全球 68%的死亡率，凸显出早期检测和管理代谢综合征等疾病的重要性。有效的生活方式干预措施，特别是通过移动健康（mHealth），在促进健康和降低心血管代谢风险方面显示出了潜力。本研究利用了韩国公共卫生中心的 mHealth 数据，以代谢综合征风险因素的成年人作为研究对象。应用干预动机行为技能（IMB）理论模型，使用基于群组的趋势模型（GBTM）对参与者的实践模式进行分类。并采用广义估计方程（GEE）方法，确认改善代谢综合征的有效实践模式。数据收集时间为 24 周。数据集包含生活日志数据，能够捕捉干预措施、自我报告调查和临床测量的变化，所有数据都与个人识别密钥相关联，并进行了整合。参与者的健康行为得到了改善，健康饮食评分从 5.0 增加到 6.4，体育活动率从 41.5%上升到 59%。健康风险因素显著降低，平均风险因素数量从 2.4 个减少到 1.4 个。有三个或更多代谢综合征成分的受试者比例从初始阶段的 42.3%下降到最后阶段的 19.2%。IMB 成分的实践模式分为三类：连续型、晚期下降型和早期下降型。IMB 各成分的连续型观察到健康行为和代谢综合征的改善。mHealth 干预措施与 IMB 连续实践模式中健康行为的改善和代谢综合征的管理呈正相关。
