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信息技术支持的“SMART Eating”健康促进干预的效果:一项群组随机对照试验。

Effectiveness of information technology-enabled 'SMART Eating' health promotion intervention: A cluster randomized controlled trial.

机构信息

Department of Community Medicine and School of Public Health, Post-graduate Institute of Medical Education and Research, Chandigarh, India.

Centre for Sexuality and Health Research and Policy (C-SHaRP), Chennai, India.

出版信息

PLoS One. 2020 Jan 10;15(1):e0225892. doi: 10.1371/journal.pone.0225892. eCollection 2020.

Abstract

BACKGROUND

Unhealthy dietary behaviour-high intake of fat, sugar, and salt, and low intake of fruits and vegetables-is a major risk factor for chronic diseases. There is a lack of evidence-based interventions to promote healthy dietary intake among Indian populations. Therefore, we tested the effectiveness of an information technology-enabled 'SMART Eating' intervention to reduce the intake of fat, sugar and salt, and to increase the intake of fruits and vegetables.

METHODS

In Chandigarh, a North Indian city, a cluster randomized controlled trial was implemented in twelve geographical clusters, based on the type of housing (i.e., LIG: Low-income group; MIG; Middle-income group, and HIG: High-income group-a proxy for socio-economic status). Computer-generated randomization was used to allocate clusters to intervention and comparison arms after pairing on the basis of socioeconomic status and geographical distance between clusters. The sample size was 366 families per arm (N = 732). One adult per family was randomly selected as an index case to measure the change in the outcomes. For behaviour change, a multi-channel communication approach was used, which included information technology-short message service (SMS), email, social networking app and 'SMART Eating' website, and interpersonal communication along with distribution of a 'SMART Eating' kit-kitchen calendar, dining table mat, and measuring spoons. The intervention was implemented at the family level over a period of six months. The comparison group received pamphlets on nutrition education. Outcome measurements were made at 0 and 6 months post-intervention at the individual level. Primary outcomes were changes in mean dietary intakes of fat, sugar, salt, and fruit and vegetables. Secondary outcomes included changes in body mass index (BMI), blood pressure, haemoglobin, fasting plasma glucose (FPG), and serum lipids. Mixed-effects linear regression models were used to determine the net change in the outcomes in the intervention group relative to the comparison group.

RESULTS

Participants' mean age was 53 years, a majority were women (76%), most were married (90%) and 51% had completed a college degree. All families had mobile phones, and more than 90% of these families had access to Internet through mobile phones. The intervention group had significant net mean changes of -12.5 g/day (p<0.001), -11.4 g/day (p<0.001), -0.5 g/day (p<0.001), and +71.6 g/day (p<0.001) in the intake of fat, sugar, salt, and fruit and vegetables, respectively. Similarly, significant net changes occurred for secondary outcomes: BMI -0.25 kg/m2, diastolic blood pressure -2.77 mm Hg, FPG -5.7 mg/dl, and triglycerides -24.2mg/dl. The intervention had no effect on haemoglobin, systolic blood pressure, low-density lipoprotein cholesterol, or high-density lipoprotein cholesterol.

CONCLUSION

The IT-enabled 'SMART Eating' intervention was found to be effective in reducing fat, sugar, and salt intake, and increasing fruit and vegetable consumption among urban adults from diverse socio-economic backgrounds.

TRIAL REGISTRATION

Clinical Trial Registry of India CTRI/2016/11/007457.

摘要

背景

不健康的饮食行为——高脂肪、高糖和高盐摄入以及低水果和蔬菜摄入——是慢性病的主要危险因素。缺乏针对印度人群的基于证据的干预措施来促进健康的饮食摄入。因此,我们测试了一种信息技术支持的“SMART Eating”干预措施的有效性,以减少脂肪、糖和盐的摄入,增加水果和蔬菜的摄入。

方法

在印度北部城市昌迪加尔,根据住房类型(即低收人群体(LIG)、中收人群体(MIG)和高收人群体(HIG)-社会经济地位的代表),在 12 个地理集群中实施了一项集群随机对照试验。使用计算机生成的随机数对集群进行分配,在基于社会经济地位和集群之间的地理距离进行配对后,将集群分配到干预组和对照组。每组样本量为 366 个家庭(N=732)。每个家庭的一名成年人被随机选为索引病例,以衡量结果的变化。对于行为改变,采用多渠道沟通方法,包括信息技术-短信服务(SMS)、电子邮件、社交网络应用程序和“SMART Eating”网站,以及人际沟通以及分发“SMART Eating”套件-厨房日历、餐桌垫和测量勺。干预措施在六个月内以家庭为单位实施。对照组接受营养教育小册子。在个体水平上,在干预后 0 和 6 个月进行了结果测量。主要结果是平均饮食中脂肪、糖、盐和水果和蔬菜摄入量的变化。次要结果包括体重指数(BMI)、血压、血红蛋白、空腹血糖(FPG)和血清脂质的变化。使用混合效应线性回归模型确定干预组相对于对照组的结果净变化。

结果

参与者的平均年龄为 53 岁,大多数是女性(76%),大多数已婚(90%),51%完成了大学学业。所有家庭都有手机,超过 90%的家庭通过手机上网。干预组在脂肪、糖、盐和水果和蔬菜的摄入量上分别有显著的净平均变化-12.5 克/天(p<0.001)、-11.4 克/天(p<0.001)、-0.5 克/天(p<0.001)和+71.6 克/天(p<0.001)。同样,次要结果也发生了显著的净变化:BMI-0.25kg/m2、舒张压-2.77mmHg、FPG-5.7mg/dl 和甘油三酯-24.2mg/dl。干预对血红蛋白、收缩压、低密度脂蛋白胆固醇或高密度脂蛋白胆固醇没有影响。

结论

研究发现,信息技术支持的“SMART Eating”干预措施可有效减少城市成年人中来自不同社会经济背景的脂肪、糖和盐的摄入,增加水果和蔬菜的摄入。

试验注册

印度临床试验注册中心 CTRI/2016/11/007457。

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