Abe Makiko, Hirata Tetsuo, Morito Natsumi, Kawashima Megumi, Yoshida Sumiko, Takami Yoichi, Fujimoto Taku, Kawasoe Shin, Shibukawa Takeshi, Segawa Hiroyoshi, Yamanokuchi Toshitaka, Ishida Shintaro, Takahashi Koji, Tada Kazuhiro, Kato Yoshifumi, Sakima Atsushi, Arima Hisatomi
Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Department of Cardiology, Fukuoka University School of Medicine, Fukuoka, Japan.
Hypertens Res. 2025 Sep 3. doi: 10.1038/s41440-025-02365-y.
We previously conducted a systematic review and meta-analysis examining the effects of smartphone application-based interventions on blood pressure (BP). Building on that work, here we present a secondary analysis which explored the effects of these interventions on cardiometabolic risk factors. We searched MEDLINE, the Cochrane Library, and Ichushi for randomized controlled trials and observational studies comparing smartphone application-based interventions with usual care excluding digital technologies. Random-effects models were used to estimate pooled mean changes and 95% confidence intervals (CIs). A total of 76 studies involving 46459 participants were included. At 6-month follow-up, smartphone application-based interventions were significantly associated with reductions in fasting plasma glucose (-5.65 mg/dL, 95% CI: -10.12 to -1.19), body mass index (-0.58 kg/m, 95% CI: -0.80 to -0.36), waist circumference (-3.37 cm, 95% CI: -4.81 to -1.93), body weight (-1.60 kg, 95% CI: -2.30 to -0.90), low-density lipoprotein (LDL) cholesterol (-7.63 mg/dL, 95% CI: -11.64 to -3.62), total cholesterol (-9.01 mg/dL, 95% CI: -15.80 to -2.22), and triglycerides (-4.69 mg/dL, 95% CI: -8.69 to -0.70). These effects gradually declined by 12 months. BMI reduction showed a significant interaction with follow-up duration (p for interaction = 0.045). No significant differences in office BP reduction were observed across baseline BP levels. Notably, LDL cholesterol reduction was greater among East Asians than non-East Asians (p for interaction = 0.040). These findings highlight the potential of smartphone application-based interventions to improve cardiometabolic health and support self-management in adults.
我们之前进行了一项系统评价和荟萃分析,研究基于智能手机应用程序的干预措施对血压(BP)的影响。在此基础上,我们进行了一项二次分析,探讨这些干预措施对心血管代谢危险因素的影响。我们检索了MEDLINE、Cochrane图书馆和Ichushi,查找比较基于智能手机应用程序的干预措施与不包括数字技术的常规护理的随机对照试验和观察性研究。采用随机效应模型估计合并平均变化和95%置信区间(CIs)。共纳入76项研究,涉及46459名参与者。在6个月的随访中,基于智能手机应用程序的干预措施与空腹血糖降低(-5.65mg/dL,95%CI:-10.12至-1.19)、体重指数降低(-0.58kg/m²,95%CI:-0.80至-0.36)、腰围降低(-3.37cm,95%CI:-4.81至-1.93)、体重降低(-1.60kg,95%CI:-2.30至-0.90)、低密度脂蛋白(LDL)胆固醇降低(-7.63mg/dL,95%CI:-11.64至-3.62)、总胆固醇降低(-9.01mg/dL,95%CI:-15.80至-2.22)和甘油三酯降低(-4.69mg/dL,95%CI:-8.69至-0.70)显著相关。这些影响在12个月时逐渐减弱。体重指数降低与随访时间存在显著交互作用(交互作用p值=0.045)。在不同基线血压水平上,诊室血压降低无显著差异。值得注意的是,东亚人群的低密度脂蛋白胆固醇降低幅度大于非东亚人群(交互作用p值=0.040)。这些发现凸显了基于智能手机应用程序的干预措施在改善成年人心血管代谢健康和支持自我管理方面的潜力。