Rong Luo

Ms. Rong Luo

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2020 in Hypertension
Verified
Journal Article
Closed access
PDF file
YLYuan Li
Yuan Li
PZPuhong Zhang
Puhong Zhang
JWJing Wu
Jing Wu
JMJixiang Ma
Jixiang Ma
JXJianwei Xu
Jianwei Xu
XLXinhua Li
Xinhua Li
This study aimed to assess current level of sodium and potassium intake and their associations with blood pressure (BP) using the 24-hour urinary data in a large sample of China. Data from participants aged 18 to 75 years were collected as the baseline survey of Action on Salt China in 2018. Of 5454 adults, 5353 completed 24-hour urine collection. The average sodium, potassium excretion, and sodium-to-potassium molar ratio were 4318.1±1814.1 mg/d (equivalent to 11.0±4.6 g/d of salt), 1573.7±627.1 mg/d, and 5.0±2.1, respectively. After adjusting for potential confounding factors and correcting for regression dilution, each 1000-mg increase in sodium excretion was associated with increased systolic BP (1.32 mm Hg [95% CI, 0.92–1.81]) and diastolic BP (0.34 mm Hg [95% CI, 0.09–0.60]). Each 1000-mg increase in potassium excretion was inversely associated with systolic BP (−3.19 mm Hg [95% CI, −4.38 to −2.20]) and diastolic BP (−1.56 mm Hg [95% CI, −2.29 to −0.90]). Each unit increase in sodium-to-potassium molar ratio was associated with an increase of systolic BP by 1.21 mm Hg (95% CI, 0.91–1.60) and diastolic BP by 0.44 mm Hg (95% CI, 0.24–0.64). The relationships between sodium and BP mostly increase with the rise of BP quantiles. Potassium shows the opposite trend. The current sodium intake in Chinese adults remains high and potassium intake is low. Sodium and sodium-to-potassium ratio were positively associated with BP, whereas potassium was inversely associated with BP. Registration—: URL: https://tinyurl.com/vdr8rpr ; Unique identifier: ChiCTR1800017553. URL: https://tinyurl.com/w8c7x3w ; Unique identifier: ChiCTR1800016804. URL: https://tinyurl.com/s3ajldw ; Unique identifier: ChiCTR1800018119.

9 April 2020 in JMIR Research Protocols
Verified
Journal Article
Open access
PZPuhong Zhang
Puhong Zhang
FHFeng He
Feng He
YLYuan Li
Yuan Li
CLChangning Li
Changning Li
JWJing Wu
Jing Wu
XLXinhua Li
Xinhua Li
Background: Salt intake in China is over twice the maximum recommendation of the World Health Organization. Unlike most developed countries where salt intake is mainly derived from prepackaged foods, around 80% of the salt consumed in China is added during cooking. Objective: Action on Salt China (ASC), initiated in 2017, aims to develop, implement, and evaluate a comprehensive and tailored salt reduction program for national scaling-up. Methods: ASC consists of six programs working in synergy to increase salt awareness and to reduce the amount of salt used during cooking at home and in restaurants, as well as in processed foods. Since September 2018, two health campaigns on health education and processed foods have respectively started, in parallel with four open-label cluster randomized controlled trials (RCTs) in six provinces across China: (1) app-based intervention study (AIS), in which a mobile app is used to achieve and sustain salt reduction in school children and their families; (2) home cook-based intervention study (HIS), in which family cooks receive support in using less salt; (3) restaurant-based intervention study (RIS) targeting restaurant consumers, cooks, and managers; and (4) comprehensive intervention study (CIS), which is a real-world implementation and evaluation of all available interventions in the three other RCTs. To explore the barriers, facilitators, and effectiveness of delivering a comprehensive salt reduction intervention, these RCTs will last for 1 year (stage 1), followed by nationwide implementation (stage 2). In AIS, HIS, and CIS, the primary outcome of salt reduction will be evaluated by 24-hour urinary sodium excretion in 6030 participants, including 5436 adults and 594 school children around 8-9 years old. In RIS, the salt content of meals will be measured by laboratory food analysis of the 5 best-selling dishes from 192 restaurants. Secondary outcomes will include process evaluation; changes in knowledge, attitude, and practice on salt intake; and economic evaluation. Results: All RCTs have been approved by Queen Mary Research Ethics Committee and the Institutional Review Boards of leading institutes in China. The research started in June 2017 and is expected to be completed around March 2021. The baseline investigations of the four RCTs were completed in May 2019. Conclusions: The ASC project is progressing smoothly. The intervention packages and tailored components will be promoted for salt reduction in China, and could be adopted by other countries. Trial Registration: Chinese Clinical Trial Registry. AIS: ChiCTR1800017553; https://tinyurl.com/vdr8rpr. HIS: ChiCTR1800016804; https://tinyurl.com/w8c7x3w. RIS: ChiCTR1800019694; https://tinyurl.com/uqkjgfw. CIS: ChiCTR1800018119; https://tinyurl.com/s3ajldw. International Registered Report Identifier (IRRID): DERR1-10.2196/15933

17 April 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
SAShahmir Ali
Shahmir Ali
RLRong Luo
Rong Luo
YLYuan Li
Yuan Li
XLXiangjun Liu
Xiangjun Liu
CTChengyao Tang
Chengyao Tang
PZPuhong Zhang
Puhong Zhang
Background: High salt consumption has contributed to the rise of noncommunicable diseases around the world. The application of mobile health (mHealth) technologies has witnessed rapid growth in recent years. However, evidence to support mHealth interventions to confront the challenge of salt reduction has not yet been critically reviewed. Objective: The aim of this study was to identify, characterize, and evaluate mHealth interventions aimed at salt reduction across the world. Methods: A systematic search of studies in English or Chinese language published from January 1, 1992 to July 31, 2017 was conducted using 4 English databases (PubMed, MEDLINE, Global Health, and Cochrane) and 3 Chinese databases (Wanfang, China Science and Technology Journal, and China National Knowledge of Infrastructure). All studies directly using mobile technologies in health care with a primary or secondary objective of reducing dietary salt consumption were included. Results: A total of 1609 articles were found using the search strategy, with 11 full articles (8 English and 3 Chinese) being included for data extraction, including 11 interventional studies. Overall, few high-quality interventions were identified. Most interventions were limited by small study population sample sizes, lack of control groups, and short follow-up times, all of which were obstacles in generating long-term scalable approaches. Most interventions employed short message service as a platform for mHealth interventions, whereas some innovative mHealth technologies were also explored. Most interventions had a primary focus of improving awareness of dietary salt consumption. The outcome variables used to measure intervention effectiveness included 24-hour urinary sodium excretion, spot urine sampling, dietary records, and indirect behavior or knowledge indicators targeting salt consumption. Although most interventions displayed positive outcome results, none of them provided reliable evidence to evaluate the effectiveness of salt reduction. Conclusions: Salt reduction in mHealth initiatives remains relatively unexplored; however, studies that did intervene on salt-reduction show the potential of mHealth as an effective intervention method. We provide 3 recommendations for future mHealth interventions in salt reduction—(1) increased use of new, innovative, and interactive mHealth technologies; (2) development of mHealth interventions with primary prevention measures and goals of salt reduction; and (3) large-scale, rigorously designed, and object-targeted clinical trials of mHealth interventions with appropriate quantitative outcome variables, in particular 24-hour urine sodium.

16 March 2017 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
MTMaoyi Tian
Maoyi Tian
JZJing Zhang
Jing Zhang
RLRong Luo
Rong Luo
SCShi Chen
Shi Chen
DPDjordje Petrovic
Djordje Petrovic
APAnushka Patel
Anushka Patel
Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

27 March 2025 in Journal of Medical Internet Research
Verified
Journal Article
Open access
NWNaibo Wang
Naibo Wang
CWChen Wang
Chen Wang
PZPuhong Zhang
Puhong Zhang
YLYinghua Li
Yinghua Li
FHFeng He
Feng He
LWLei Wu
Lei Wu
Background: Globally, cardiovascular diseases are leading causes of mortality and disability, with hypertension being a major risk factor. Reducing salt intake and blood pressure are among the most cost-effective health promotion strategies. While mobile health (mHealth)– and school-based salt reduction interventions have proven effective in trials, their impact when scaled up in real-world contexts remains uncertain. Objective: We evaluated the effectiveness of the real-world implementation of an mHealth- and school-based health education scale-up program to reduce salt intake (EduSaltS [mHealth and school-based education program to reduce salt intake scaling up in China]). Methods: A parallel cluster randomized controlled trial was conducted from April 2022 to July 2023 across 20 schools in 2 districts and 2 counties within Ganzhou City, Jiangxi Province, China. Schools were randomized 1:1 to intervention or control groups within each district or county. One third-grade class per school and 26 students per class were randomly sampled. One parent, or alternative family member (aged 18-75 years, residing with the student), of each student was invited to join. The EduSaltS intervention, spanning over 1 academic year, incorporated both app-based health education courses and offline salt reduction activities, with participation monitored through the backend management system. The intervention’s effectiveness was assessed by comparing changes in salt intake and blood pressure between groups from baseline to 1-year follow-up using surveys, physical examination, and 24-hour urine tests. Results: Of 524 children (boys: n=288, 54.96%; age: mean 9.16, SD 0.35 years) and 524 adults (men: n=194, 37.02%; age: mean 40.99, SD 11.04 years) who completed the baseline assessments in 10 intervention and 10 control schools, 13 (2.48%) children and 47 (8.97%) adults were lost to follow-up. All schools and participants showed satisfactory intervention adherence. Measured differences in schoolchildren’s salt intake, systolic blood pressure, and diastolic blood pressure, between the intervention and control schools, were –0.24 g/day (95% CI –0.82 to 0.33), –0.68 mm Hg (95% CI –2.32 to 0.95), and –1.37 mm Hg (95% CI –2.79 to 0.06), respectively. For adults, the intervention group’s salt intake decreased from 9.0 (SE 0.2) g/day to 8.3 (SE 0.2) g/day post intervention. Adjusted changes in the intervention (vs control) group in salt intake, systolic blood pressure, and diastolic blood pressure were –1.06 g/day (95% CI –1.81 to –0.30), –2.26 mm Hg (95% CI –4.26 to –0.26), and –2.33 mm Hg (95% CI –3.84 to –0.82), respectively. Conclusions: The EduSaltS program, delivered through primary schools with a child-to-parent approach, was effective in reducing salt intake and controlling blood pressure in adults, but its effects on children were not significant. While promising for nationwide scaling, further improvements are needed to ensure its effectiveness in reducing salt intake among schoolchildren. Trial Registration: Chinese Clinical Trial Registry ChiCTR2400079893; https://tinyurl.com/4maz7dyv (retrospectively registered); Chinese Clinical Trial Registry ChiCTR2000039767; https://tinyurl.com/5n6hc4s2

28 May 2025 in Nutrients
Verified
Journal Article
Open access
PDF file
NWNaibo Wang
Naibo Wang
PZPuhong Zhang
Puhong Zhang
YLYing-Hua Li
Ying-Hua Li
CWChen Wang
Chen Wang
FHFeng He
Feng He
LWLei Wu
Lei Wu
Background: While the mHealth and school-based scale-up intervention for salt reduction (EduSaltS) effectively reduced salt intake and blood pressure among adults living with participating schoolchildren, the sustainability of these effects remains uncertain. This study aimed to evaluate whether these effects persisted one year post intervention. Methods: A one-year follow-up of a cluster randomized controlled trial was conducted, involving 524 children and their 524 adult family members from 20 primary schools. At 24 months, 509 children (97.1%) and 486 adults (92.7%) completed the assessment. Mixed linear models were used to analyze the difference in changes in salt intake between the intervention and control groups at 24 months, compared to baseline and 12 months, as measured by consecutive 24 h urinary sodium excretions. Secondary outcomes included the differences in changes in blood pressure and salt-related knowledge, attitudes, and practices (KAP) scores. Results: The adjusted mean difference in changes in salt intake between groups was −0.34 g/24 h (95% CI: −0.94 to 0.26, p = 0.265) for children and −0.72 g/24 h (95% CI: −1.48 to 0.05, p = 0.065) for adults at 24 months versus baseline. The corresponding differences from 12 to 24 months were −0.09 g/24 h (95% CI: −0.69 to 0.51, p = 0.775) for children and 0.29 g/24 h (95% CI: −0.50 to 1.08, p = 0.468) for adults. The adjusted difference in changes in adult blood pressure showed a slight, nonsignificant rebound at 24 months. The intervention group maintained significantly higher KAP scores than the control group at both 12 and 24 months. Conclusions: The effects of EduSaltS on reducing salt intake and blood pressure in adults diminished slightly one year after the intervention ended. However, sustained improvements in salt-related KAP were observed in both children and adults. Ongoing support is vital to sustain long-term salt-reduction behaviors.