BACKGROUND: Hypertension is a significant global disease burden. Mobile health (mHealth) offers a promising means to provide patients with hypertension with easy access to health care services. Yet, its efficacy needs to be validated, especially in lower-income areas with a high-salt diet. OBJECTIVE: This study aims to assess the efficacy of an mHealth app-based intervention in supporting patients' self-management of hypertension. METHODS: A 2-arm randomized controlled trial was conducted among 297 patients with hypertension at the General Hospital of Ningxia Medical University, Ningxia Hui Autonomous Region, China. Participants selected via convenience sampling were randomly allocated into intervention and control groups. Intervention group participants were trained and asked to use an mHealth app named Blood Pressure Assistant for 6 months. They could use the app to record and upload vital signs, access educational materials, and receive self-management reminders and feedback fr
Background: Sleep is instrumental for growth and development in children, making it critical to establish healthy sleep habits from the earliest years of life. Many kindergarteners (3–6 years) in China have inadequate and poor sleep, necessitating targeted interventions. This research protocol details the “Healthy Sleep” intervention that was designed to promote healthy sleep among kindergarteners in China. Methods: The “Healthy Sleep” intervention will be family-based and will support parents as change agents. The development of the intervention is based on evidence regarding correlates of sleep in young children and guided by Bandura’s social cognitive theory. A 12-month randomised controlled trial will be conducted to examine the efficacy of the intervention for promoting healthy sleep in Chinese kindergarteners and the intervention's effects on child development outcomes. A targeted sample of 160 kindergarteners and their parents will be recruited through social me
This interim analysis of 2 randomized trials compares adverse reactions and neutralizing antibody responses to inactivated coronavirus disease 2019 (COVID-19) v
Objective To determine whether a smartphone application based education programme can lower salt intake in schoolchildren and their families.
Design Parallel, cluster randomised controlled trial, with schools randomly assigned to either intervention or control group (1:1).
Setting 54 primary schools from three provinces in northern, central, and southern China, from 15 September 2018 to 27 December 2019.
Participants 592 children (308 (52.0%) boys; mean age 8.58 (standard deviation 0.41) years) in grade 3 of primary school (about 11 children per school) and 1184 adult family members (551 (46.5%) men; mean age 45.80 (12.87) years).
Intervention Children in the intervention group were taught, with support of the app, about salt reduction and assigned homework to encourage their families to participate in activities to reduce salt consumption.
Main outcome measures Primary outcome was the difference in salt intake change (measured by 24 hour urinary sodium excretion) at 12 month foll
Objective To determine the effects of salt reduction interventions designed for home cooks and family members.
Design Cluster randomised controlled trial.
Setting Six provinces in northern, central, and southern China from 15 October 2018 to 30 December 2019.
Participants 60 communities from six provinces (10 communities from each province) were randomised; each community comprised 26 people (two people from each of 13 families).
Interventions Participants in the intervention group received 12 month interventions, including supportive environment building for salt reduction, six education sessions on salt reduction, and salt intake monitoring by seven day weighed record of salt and salty condiments. The control group did not receive any of the interventions.
Main outcome measure Difference between the two groups in change in salt intake measured by 24 hour urinary sodium during the 12 month follow-up.
Results 1576 participants (775 (49.2%) men; mean age 55.8 (standard deviation 1