Literature DB >> 28631933

A salt-reduction smartphone app supports lower-salt food purchases for people with cardiovascular disease: Findings from the SaltSwitch randomised controlled trial.

Helen Eyles1,2, Rebecca McLean1, Bruce Neal3, Yannan Jiang1, Robert N Doughty4,5, Rachael McLean6, Cliona Ni Mhurchu1.   

Abstract

Background SaltSwitch is an innovative smartphone application (app) that enables shoppers to scan the barcode of a packaged food and receive an immediate, interpretive, traffic light nutrition label on the screen, along with suggestions for lower salt alternatives. Our aim was to determine the effectiveness of SaltSwitch to support people with cardiovascular disease to make lower salt food choices. Design Six-week, two-arm, parallel, randomised controlled trial in Auckland, New Zealand (2 weeks baseline and 4 weeks intervention). Methods Sixty-six adults with diagnosed cardiovascular disease (mean (SD) age 64 (7) years) were randomly assigned in a 1:1 ratio to either the SaltSwitch smartphone app or control (usual care). The primary outcome was the salt content of household packaged food purchases during the 4-week intervention (g/MJ). Secondary outcomes were the saturated fat content (g/MJ), energy content (kJ/kg) and expenditure (NZ$) of household food purchases; systolic blood pressure (mmHg), urinary sodium (mg) and use and acceptability of the SaltSwitch app. Results Thirty-three participants with cardiovascular disease were allocated to the SaltSwitch intervention, and 33 to the control group. A significant reduction in mean household purchases of salt was observed (mean difference (95% confidence interval), -0.30 (-0.58 to -0.03) g/MJ), equating to a reduction of ∼0.7 g of salt per person per day during the 4-week intervention phase. There were no significant between-group differences in any secondary outcomes (all P > 0.05). Conclusions The SaltSwitch smartphone app is effective in supporting people with cardiovascular disease to make lower salt food purchases. A larger trial with longer follow-up is warranted to determine the effects on blood pressure. Trial registration Australian New Zealand Clinical Trials Registry https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=365784&isReview=true ACTRN12614000206628.

Entities:  

Keywords:  Cardiovascular diseases; cellular phone; heart diseases; salt; secondary prevention; self-care; smartphone; sodium; telemedicine

Mesh:

Substances:

Year:  2017        PMID: 28631933     DOI: 10.1177/2047487317715713

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN: 2047-4873            Impact factor:   7.804


  19 in total

1.  Smartphone Application for Celiac Patients: Assessing Its Effect on Gastrointestinal Symptoms in a Randomized Controlled Clinical Trial.

Authors:  Zeinab Nikniaz; Zahra Akbari Namvar; Masood Shirmohammadi; Elham Maserat
Journal:  Int J Telemed Appl       Date:  2022-07-08

2.  Paucity of high-quality studies reporting on salt and health outcomes from the science of salt: A regularly updated systematic review of salt and health outcomes (April 2017 to March 2018).

Authors:  Kristina S Petersen; Sarah Rae; Erik Venos; Daniela Malta; Kathy Trieu; Joseph Alvin Santos; Sudhir Raj Thout; Jacqui Webster; Norm R C Campbell; JoAnne Arcand
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-27       Impact factor: 3.738

3.  Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications.

Authors:  Heather A Eicher-Miller; Lukkamol Prapkree; Cristina Palacios
Journal:  Adv Nutr       Date:  2021-06-01       Impact factor: 8.701

Review 4.  Harnessing SmartPhones to Personalize Nutrition in a Time of Global Pandemic.

Authors:  Niv Zmora; Eran Elinav
Journal:  Nutrients       Date:  2021-01-28       Impact factor: 5.717

5.  Effects of a Novel Contextual Just-In-Time Mobile App Intervention (LowSalt4Life) on Sodium Intake in Adults With Hypertension: Pilot Randomized Controlled Trial.

Authors:  Michael P Dorsch; Maria L Cornellier; Armella D Poggi; Feriha Bilgen; Peiyu Chen; Cindy Wu; Lawrence C An; Scott L Hummel
Journal:  JMIR Mhealth Uhealth       Date:  2020-08-10       Impact factor: 4.773

6.  Application of Mobile Health Technologies Aimed at Salt Reduction: Systematic Review.

Authors:  Shahmir H Ali; Rong Luo; Yuan Li; Xiangjun Liu; Chengyao Tang; Puhong Zhang
Journal:  JMIR Mhealth Uhealth       Date:  2019-04-17       Impact factor: 4.773

7.  Optimising swaps to reduce the salt content of food purchases in a virtual online supermarket: A randomised controlled trial.

Authors:  Sarah Payne Riches; Paul Aveyard; Carmen Piernas; Mike Rayner; Susan A Jebb
Journal:  Appetite       Date:  2018-11-29       Impact factor: 3.868

8.  A Pilot Randomized Controlled Trial of a Digital Intervention Aimed at Improving Food Purchasing Behavior: The Front-of-Pack Food Labels Impact on Consumer Choice Study.

Authors:  Richard A Harrington; Peter Scarborough; Charo Hodgkins; Monique M Raats; Gill Cowburn; Moira Dean; Aiden Doherty; Charlie Foster; Edmund Juszczak; Cliona Ni Mhurchu; Naomi Winstone; Richard Shepherd; Lada Timotijevic; Mike Rayner
Journal:  JMIR Form Res       Date:  2019-04-08

9.  The Salt Swap intervention to reduce salt intake in people with high blood pressure: protocol for a feasibility randomised controlled trial.

Authors:  Sarah Payne Riches; Carmen Piernas; Paul Aveyard; James P Sheppard; Mike Rayner; Susan A Jebb
Journal:  Trials       Date:  2019-10-11       Impact factor: 2.279

10.  Diet and Activity Assessments and Interventions Using Technology in Older Adults.

Authors:  Michelle Takemoto; Todd M Manini; Dori E Rosenberg; Amanda Lazar; Zvinka Z Zlatar; Sai Krupa Das; Jacqueline Kerr
Journal:  Am J Prev Med       Date:  2018-10       Impact factor: 5.043

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