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Am J Prev Med:数字化干预措施更有利于低收入肥胖患者减重

2018-11-05 国际糖尿病编辑部 国际糖尿病

发表于American Journal of Preventive Medicine的一项研究显示,与接受常规护理者相比,接受数字化干预措施的低收入、肥胖成人患者在一年内减重更多。

发表于American Journal of Preventive Medicine的一项研究显示,与接受常规护理者相比,接受数字化干预措施的低收入、肥胖成人患者在一年内减重更多。

TRACK研究是一项为期12个月的随机对照、数字化干预措施研究,研究人员纳入2013~2014年在北卡罗来纳州4个社区健康中心接受治疗的351例患有高血压糖尿病和/或血脂异常的成人患者,患者平均年龄51岁,平均BMI为36 kg/m2。所有患者都有手机,每周愿意发送/接受3~9条短信。

患者随机分入常规护理组(n=175)或数字化干预组(n=176)。常规治疗组接受初级保健医生提供的自助材料或咨询,干预组患者则接受如下干预:每8周改变一次个性化行为目标,例如,每天走7000~10 000步,进行食量控制、不喝含糖饮料,不吃快餐,每天至少吃5种水果和蔬菜。每天通过短信及时反馈上述情况。随访期间,注册营养师共打18次减重辅导电话进行辅导。干预组患者每天称重,并将结果输入APP,APP及时提供个性化反馈和简短提示。受试者还定期接受注册营养师打来的10~15分钟指导电话,平均拜访三次初级保健医生,在此期间,医生可提供2分钟左右的个性化减肥咨询。

研究结果显示,与常规护理组相比,干预组患者在6个月(净效益:-4.4 kg;95%CI:-5.5~-3.3 kg;P<0.001)和12个月时 (平均差异:-3.8 kg;95%CI:-5.1~-2.5 kg;P<0.001)减重更多,干预组患者更可能在6个月(43% vs. 6%,P<0.001)和12个月时(40% vs. 17%,P<0.001)较基线减重≥5%。

研究人员总结,随着数字技术的迅速普及,Track研究中使用的方法可能对患者健康产生有益影响。

原始出处:
Gary G. Bennett,  et al. Effectiveness of an App and Provider Counseling for Obesity Treatment in Primary Care. Am J Prev Med. October 22, 2018.

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