Implementing effective salt reduction programs and policies in low- and middle-income countries: learning from retrospective policy analysis in Argentina, Mongolia, South Africa and Vietnam.

OBJECTIVE: To understand the factors influencing the implementation of salt reduction interventions in low- and middle-income countries (LMIC). DESIGN: Retrospective policy analysis based on desk reviews of existing reports and semi-structured stakeholder interviews in four countries, using Walt and Gilson's 'Health Policy Triangle' to assess the role of context, content, process and actors on the implementation of salt policy. SETTING: Argentina, Mongolia, South Africa and Vietnam. PARTICIPANTS: Representatives from government, non-government, health, research and food industry organisations with the potential to influence salt reduction programmes. RESULTS: Global targets and regional consultations were viewed as important drivers of salt reduction interventions in Mongolia and Vietnam in contrast to local research and advocacy, and support from international experts, in Argentina and South Africa. All countries had population-level targets and written strategies with multiple interventions to reduce salt consumption. Engaging industry to reduce salt in foods was a priority in all countries: Mongolia and Vietnam were establishing voluntary programs, while Argentina and South Africa opted for legislation on salt levels in foods. Ministries of Health, the WHO and researchers were identified as critical players in all countries. Lack of funding and technical capacity/support, absence of reliable local data and changes in leadership were identified as barriers to effective implementation. No country had a comprehensive approach to surveillance or regulation for labelling, and mixed views were expressed about the potential benefits of low sodium salts. CONCLUSIONS: Effective scale-up of salt reduction programs in LMIC requires: (1) reliable local data about the main sources of salt; (2) collaborative multi-sectoral implementation; (3) stronger government leadership and regulatory processes and (4) adequate resources for implementation and monitoring.

Strengthening Knowledge to Practice on Effective Salt Reduction Interventions in Low- and Middle-Income Countries.

PURPOSE OF REVIEW: The objective of this review was to consolidate available published information on the implementation and evaluation of salt reduction interventions in low- and middle-income countries (LMICs). RECENT FINDINGS: The Science of Salt database (made up of studies identified in a weekly Medline search) was used to retrieve articles related to the implementation of salt reduction interventions from June 2013 to February 2020. Studies that measured the effects of the interventions in LMICs, based on four outcome measures-salt intake; sodium levels in foods; knowledge, attitudes, and behaviours (KABs) towards salt; and blood pressure-were included. Results were summarised overall and according to subgroups of intervention type, duration, sample size, country's income class, and regional classification. The review identified 32 studies, representing 13 upper middle-income and four lower middle-income countries. The main salt reduction interventions were education, food reformulation, and salt substitution; and many interventions were multi-faceted. More studies reported a positive effect of the interventions (decreased salt intake (12/17); lower sodium levels in foods or compliance with agreed targets (6/6); improved KAB (17/19); and decreased blood pressure (10/14)) than a null effect, and no study reported a negative effect of the intervention. However, many studies were of small scale and targeted specific groups, and none was from low-income countries. Consumer education, food reformulation, and salt substitution, either alone or in combination, were effective in their target populations. Supporting scale-up of salt reduction interventions in LMICs is essential to cover broader populations and to increase their public health impact.

Longitudinal effects of urban green space on walking and cycling: A fixed effects analysis.

This study examined whether changes in green space within the living environment were associated with changes in walking and cycling frequencies in a cohort of 3,220 Dutch adults between 2004, 2011 and 2014. Data on self-reported weekly time spent walking and cycling for active commute and leisure were linked to geographic information system (GIS) measures of total green areas within 1000 m buffer zones around each participant's home address, and distance to the nearest green space. First, cross-sectional linear regression models showed no statistically significant associations between green space measures and walking and cycling. Second, fixed effects (FE) models were used to analyze whether changes in green space were associated with changes in walking and cycling, using longitudinal data from respondents who did not relocate over time. As distance to the nearest green area increased by 100 m, individuals spent 22.76 fewer (95% CI: -39.92, -5.60) minutes walking for leisure per week and 3.21 more (95% CI: 0.46, 5.96) minutes walking for active commute. Changes in distance to green space were not significantly related to changes in cycling measures. No clear associations between changes in green areas within 1000 m buffers and changes in walking and cycling were observed. Overall, there was weak evidence of an effect of changes in green space area on changes in walking, and no evidence for cycling.

Estimating mean population salt intake in Fiji and Samoa using spot urine samples.

BACKGROUND: There is an increasing interest in finding less costly and burdensome alternatives to measuring population-level salt intake than 24-h urine collection, such as spot urine samples. However, little is known about their usefulness in developing countries like Fiji and Samoa. The purpose of this study was to evaluate the capacity of spot urine samples to estimate mean population salt intake in Fiji and Samoa. METHODS: The study involved secondary analyses of urine data from cross-sectional surveys conducted in Fiji and Samoa between 2012 and 2016. Mean salt intake was estimated from spot urine samples using six equations, and compared with the measured salt intake from 24-h urine samples. Differences and agreement between the two methods were examined through paired samples t-test, intraclass correlation coefficient analysis, and Bland-Altman plots and analyses. RESULTS: A total of 414 participants from Fiji and 725 participants from Samoa were included. Unweighted mean salt intake based on 24-h urine collection was 10.58 g/day (95% CI 9.95 to 11.22) in Fiji and 7.09 g/day (95% CI 6.83 to 7.36) in Samoa. In both samples, the INTERSALT equation with potassium produced the closest salt intake estimate to the 24-h urine (difference of - 0.92 g/day, 95% CI - 1.67 to - 0.18 in the Fiji sample and + 1.53 g/day, 95% CI 1.28 to 1.77 in the Samoa sample). The presence of proportional bias was evident for all equations except for the Kawasaki equation. CONCLUSION: These data suggest that additional studies where both 24-h urine and spot urine samples are collected are needed to further assess whether methods based on spot urine samples can be confidently used to estimate mean population salt intake in Fiji and Samoa.