National Institute for Health Innovation, The University of Auckland, Auckland, New Zealand.
Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand.
JMIR Mhealth Uhealth. 2023 Mar 9;11:e43675. doi: 10.2196/43675.
Even modest reductions in blood pressure (BP) can have an important impact on population-level morbidity and mortality from cardiovascular disease. There are 2 promising approaches: the SaltSwitch smartphone app, which enables users to scan the bar code of a packaged food using their smartphone camera and receive an immediate, interpretive traffic light nutrition label on-screen alongside a list of healthier, lower-salt options in the same food category; and reduced-sodium salts (RSSs), which are an alternative to regular table salt that are lower in sodium and higher in potassium but have a similar mouthfeel, taste, and flavor.
Our aim was to determine whether a 12-week intervention with a sodium-reduction package comprising the SaltSwitch smartphone app and an RSS could reduce urinary sodium excretion in adults with high BP.
A 2-arm parallel randomized controlled trial was conducted in New Zealand (target n=326). Following a 2-week baseline period, adults who owned a smartphone and had high BP (≥140/85 mm Hg) were randomized in a 1:1 ratio to the intervention (SaltSwitch smartphone app + RSS) or control (generic heart-healthy eating information from The Heart Foundation of New Zealand). The primary outcome was 24-hour urinary sodium excretion at 12 weeks estimated via spot urine. Secondary outcomes were urinary potassium excretion, BP, sodium content of food purchases, and intervention use and acceptability. Intervention effects were assessed blinded using intention-to-treat analyses with generalized linear regression adjusting for baseline outcome measures, age, and ethnicity.
A total of 168 adults were randomized (n=84, 50% per group) between June 2019 and February 2020. Challenges associated with the COVID-19 pandemic and smartphone technology detrimentally affected recruitment. The adjusted mean difference between groups was 547 (95% CI -331 to 1424) mg for estimated 24-hour urinary sodium excretion, 132 (95% CI -1083 to 1347) mg for urinary potassium excretion, -0.66 (95% CI -3.48 to 2.16) mm Hg for systolic BP, and 73 (95% CI -21 to 168) mg per 100 g for the sodium content of food purchases. Most intervention participants reported using the SaltSwitch app (48/64, 75%) and RSS (60/64, 94%). SaltSwitch was used on 6 shopping occasions, and approximately 1/2 tsp per week of RSS was consumed per household during the intervention.
In this randomized controlled trial of a salt-reduction package, we found no evidence that dietary sodium intake was reduced in adults with high BP. These negative findings may be owing to lower-than-anticipated engagement with the trial intervention package. However, implementation and COVID-19-related challenges meant that the trial was underpowered, and it is possible that a real effect may have been missed.
Australian New Zealand Clinical Trials Registry ACTRN12619000352101; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377044 and Universal Trial U1111-1225-4471.
即使血压(BP)略有降低,也会对心血管疾病的人群发病率和死亡率产生重要影响。有两种有前途的方法:SaltSwitch 智能手机应用程序,它使用户可以使用智能手机摄像头扫描包装食品的条形码,并在屏幕上立即收到解释性的交通灯营养标签,以及同一食品类别中更健康、低钠的选项列表;以及低钠盐(RSS),它是普通食盐的替代品,钠含量较低,钾含量较高,但口感、味道和风味相似。
我们的目的是确定由 SaltSwitch 智能手机应用程序和 RSS 组成的钠减少方案的 12 周干预是否可以降低高血压成年人的尿钠排泄。
在新西兰进行了一项 2 臂平行随机对照试验(目标 n=326)。在 2 周的基线期后,拥有智能手机且血压高(≥140/85mmHg)的成年人按照 1:1 的比例随机分为干预组(SaltSwitch 智能手机应用程序+RSS)或对照组(新西兰心脏基金会提供的通用心脏健康饮食信息)。主要结局是通过点尿估计的 12 周时 24 小时尿钠排泄。次要结局是尿钾排泄、血压、食物购买的钠含量以及干预的使用和可接受性。使用广义线性回归调整基线结局测量、年龄和种族,使用意向治疗分析评估干预效果。
共有 168 名成年人在 2019 年 6 月至 2020 年 2 月之间被随机分配(n=84,每组 50%)。与 COVID-19 大流行和智能手机技术相关的挑战严重影响了招募。组间调整后的平均差异为 547(95%CI-331 至 1424)mg 用于估计 24 小时尿钠排泄,132(95%CI-1083 至 1347)mg 用于尿钾排泄,-0.66(95%CI-3.48 至 2.16)mmHg 用于收缩压,以及 73(95%CI-21 至 168)mg/每 100g 食物购买的钠含量。大多数干预参与者报告使用了 SaltSwitch 应用程序(48/64,75%)和 RSS(60/64,94%)。SaltSwitch 共使用了 6 次购物,在干预期间,每个家庭每周大约消耗 1/2 茶匙 RSS。
在这项针对高血压成年人的盐减少方案的随机对照试验中,我们没有发现饮食钠摄入量减少的证据。这些负面发现可能是由于对试验干预方案的参与度低于预期。然而,实施和与 COVID-19 相关的挑战意味着试验的力度不足,可能错过了真正的效果。
澳大利亚新西兰临床试验注册 ACTRN12619000352101;https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=377044 和通用试验 U1111-1225-4471。