Packaged food supply in Fiji: nutrient levels, compliance with sodium targets and adherence to labelling regulations.

OBJECTIVE: To estimate the proportion of products meeting Fiji government labelling regulations, assess compliance with national Na reformulation targets and examine the Na and total sugar levels in packaged foods sold in selected major supermarkets. DESIGN: We selected five major supermarkets in 2018 and collected the product information and nutritional content from the labels of all packaged foods sold. We organised 4278 foods into fourteen major food categories and thirty-six sub-categories and recorded the proportion of products labelled in accordance with the Fiji labelling regulations. We looked at the levels of Na and total sugar in each food category and assessed how many products complied with the Fiji reformulation targets set for Na. We also listed the companies responsible for each product. SETTING: Suva, Fiji. RESULTS: Fourteen percentage of packaged foods in fourteen major categories met Fiji national labelling regulations. Na was labelled on 95·4 % products, and total sugar labelled on 92·4 %. The convenience foods category had the highest Na levels (1699 mg/100 g), while confectionery had the highest content of total sugar (52·6 g/100 g). Forty percentage of eligible products did not meet the proposed voluntary Na reformulation targets. CONCLUSIONS: Our findings indicate significant room for improvement in nutrient labelling, as well as a need for further enforcement of reformulation targets and monitoring of changes in food composition. Through enacting these measures and establishing additional regulations such as mandatory front-of-pack labelling, government and food industry can drive consumers towards healthier food choices and improve the nutritional quality of packaged foods in Fiji.

Rheumatic Heart Disease-Attributable Mortality at Ages 5-69 Years in Fiji: A Five-Year, National, Population-Based Record-Linkage Cohort Study.

BACKGROUND: Rheumatic heart disease (RHD) is considered a major public health problem in developing countries, although scarce data are available to substantiate this. Here we quantify mortality from RHD in Fiji during 2008-2012 in people aged 5-69 years. METHODS AND FINDINGS: Using 1,773,999 records derived from multiple sources of routine clinical and administrative data, we used probabilistic record-linkage to define a cohort of 2,619 persons diagnosed with RHD, observed for all-cause mortality over 11,538 person-years. Using relative survival methods, we estimated there were 378 RHD-attributable deaths, almost half of which occurred before age 40 years. Using census data as the denominator, we calculated there were 9.9 deaths (95% CI 9.8-10.0) and 331 years of life-lost (YLL, 95% CI 330.4-331.5) due to RHD per 100,000 person-years, standardised to the portion of the WHO World Standard Population aged 0-69 years. Valuing life using Fiji's per-capita gross domestic product, we estimated these deaths cost United States Dollar $6,077,431 annually. Compared to vital registration data for 2011-2012, we calculated there were 1.6-times more RHD-attributable deaths than the number reported, and found our estimate of RHD mortality exceeded all but the five leading reported causes of premature death, based on collapsed underlying cause-of-death diagnoses. CONCLUSIONS: Rheumatic heart disease is a leading cause of premature death as well as an important economic burden in this setting. Age-standardised death rates are more than twice those reported in current global estimates. Linkage of routine data provides an efficient tool to better define the epidemiology of neglected diseases.