Scaling-up food policies in the Pacific Islands: protocol for policy engagement and mixed methods evaluation of intervention implementation.

BACKGROUND: There is a crisis of non-communicable diseases (NCDs) in the Pacific Islands, and poor diets are a major contributor. The COVID-19 pandemic and resulting economic crisis will likely further exacerbate the burden on food systems. Pacific Island leaders have adopted a range of food policies and regulations to improve diets. This includes taxes and regulations on compositional standards for salt and sugar in foods or school food policies. Despite increasing evidence for the effectiveness of such policies globally, there is a lack of local context-specific evidence about how to implement them effectively in the Pacific. METHODS: Our 5-year collaborative project will test the feasibility and effectiveness of policy interventions to reduce salt and sugar consumption in Fiji and Samoa, and examine factors that support sustained implementation. We will engage government agencies and civil society in Fiji and Samoa, to support the design, implementation and monitoring of evidence-informed interventions. Specific objectives are to: (1) conduct policy landscape analysis to understand potential opportunities and challenges to strengthen policies for prevention of diet-related NCDs in Fiji and Samoa; (2) conduct repeat cross sectional surveys to measure dietary intake, food sources and diet-related biomarkers; (3) use Systems Thinking in Community Knowledge Exchange (STICKE) to strengthen implementation of policies to reduce salt and sugar consumption; (4) evaluate the impact, process and cost effectiveness of implementing these policies. Quantitative and qualitative data on outcomes and process will be analysed to assess impact and support scale-up of future interventions. DISCUSSION: The project will provide new evidence to support policy making, as well as developing a low-cost, high-tech, sustainable, scalable system for monitoring food consumption, the food supply and health-related outcomes.

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.

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.

Implementation of the mental health Gap Action Programme (mhGAP) within the Fijian Healthcare System: a mixed-methods evaluation.

BACKGROUND: To facilitate decentralisation and scale-up of mental health services, Fiji's Ministry of Health and Medical Services committed to implementing the World Health Organization's mental health Gap Action Programme (mhGAP). mhGAP training has been prolific; however, it remains unclear, beyond this, how successfully Fiji's national mental health program has been implemented. We aim to evaluate Fiji's mental health program to inform Fiji's national mental health program and to develop an evidence-base for best practice. METHODS: The study design was guided by the National Implementation Research Network and adhered to the Consolidated Framework for Implementation Research. CFIR constructs were selected to reflect the objectives of this study and were adapted where contextually necessary. A mixed-methods design utilised a series of instruments designed to collect data from healthworkers who had undertaken mhGAP training, senior management staff, health facilities and administrative data. RESULTS: A total of 66 participants were included in this study. Positive findings include that mhGAP was considered valuable and easy to use, and that health workers who deliver mental health services had a reasonable level of knowledge and willingness to change. Identified weaknesses and opportunities for implementation and system strengthening included the need for improved planning and leadership. CONCLUSION: This evaluation has unpacked the various implementation processes associated with mhGAP and has simultaneously identified targets for change within the broader mental health system. Notably, the creation of an enabling context is crucial. If Fiji acts upon the findings of this evaluation, it has the opportunity to not only develop effective mental health services in Fiji but to be a role model for other countries in how to successfully implement mhGAP.

Declines and Plateaux in Smoking Prevalence Over Three Decades in Fiji.

OBJECTIVES: To examine trends from 1980 to 2011 in daily tobacco smoking by sex, ethnicity, age, and urban/rural in Fiji Melanesian (i-Taukei) and Indian adults aged 25-64 years. METHODS: Unit record data from five population-based surveys (n = 14 528) allowed classification of participants as: (1) never-smoker, ex-smoker, or non-daily smoker; or (2) daily smoker, reporting smoking <20 or ≥20 tobacco products (cigarettes/cigars/pipes) a day. Trends were examined using spline analyses. RESULTS: Over 1980-2011 the prevalence of reported daily tobacco smoking decreased significantly in both sexes and ethnicities, with the greatest decline during 1980-2000. Declines were from 81.7% to 27.0% in i-Taukei men; 55.3% to 26.3% in Indian men; 48.1% to 9.5% in i-Taukei women; and 13.8% to 1.3% in Indian women (p < .0001). Declines were consistent across all age groups in men, while there were greater declines among older age groups in women; and greater declines from higher prevalences in rural compared to urban areas in both sexes and ethnicities. Smoking ≥20 tobacco products per day declined significantly in i-Taukei men from 8.0% to 1.9% (p < .0001); there were also declines in Indian men (4.6% to 2.0%) and i-Taukei women (2.6% to 0.6%), but these were not statistically significant; and Indian women remained <0.2% throughout the period. CONCLUSIONS: Significant declines in daily tobacco smoking have occurred in Fiji in both sexes and ethnicities during the past 30 years, which is consistent with declines in tobacco apparent consumption and household expenditure. However, prevalence remains high in men at around 27% in 2011, with plateau at this level in i-Taukei. IMPLICATIONS: This is the first study to show nationally representative population trends in tobacco smoking in a developing country over such a long period (>30 years) based on empirical unit record data (n = 14 528). Cardiovascular disease is a leading cause of mortality throughout the Pacific Island region. This is the first study to show evidence of substantial declines over several decades in a cardiovascular disease risk factor in a Pacific Island country, and provides important evidence for further research into the interventions and events which may have facilitated this decline.

Diabetes incidence and projections from prevalence surveys in Fiji.

BACKGROUND: Type 2 diabetes mellitus (T2DM) incidence is traditionally derived from cohort studies that are not always feasible, representative, or available. The present study estimates T2DM incidence in Fijian adults from T2DM prevalence estimates assembled from surveys of 25-64 year old adults conducted over 30 years (n = 14,288). METHODS: T2DM prevalence by five-year age group from five population-based risk factor surveys conducted over 1980-2011 were variously adjusted for urban-rural residency, ethnicity, and sex to previous censuses (1976, 1986, 1996, 2009) to improve representativeness. Prevalence estimates were then used to calculate T2DM incidence based on birth cohorts from the age-period (Lexis) matrix following the Styblo technique, first used to estimate annual risk of tuberculosis infection (incidence) from sequential Mantoux population surveys. Poisson regression of year, age, sex, and ethnicity strata (n = 160) was used to develop projections of T2DM prevalence and incidence to 2020 based on various scenarios of population weight measured by body mass index (BMI) change. RESULTS: T2DM prevalence and annual incidence increased in Fiji over 1980-2011. Prevalence was higher in Indians and men than i-Taukei and women. Incidence was higher in Indians and women. From regression analyses, absolute reductions of 2.6 to 5.1% in T2DM prevalence (13-26% lower), and 0.5-0.9 per 1000 person-years in incidence (8-14% lower), could be expected in 2020 in adults if mean population weight could be reduced by 1-4 kg, compared to the current period trend in weight gain. CONCLUSIONS: This is the first application of the Styblo technique to calculate T2DM incidence from population-based prevalence surveys over time. Reductions in population BMI are predicted to reduce T2DM incidence and prevalence in Fiji among adults aged 25-64 years.

Erroneous inflation of diabetes prevalence: Are there global implications?

Comparison of the prevalence of type 2 diabetes mellitus (T2DM) in adults aged 25-64 years in selected Pacific Island countries using whole blood and plasma glucose cut-off points. Unit records of STEPwise approach to Surveillance (STEPS) surveys obtained from Fiji, Samoa, and Tonga Ministries of Health; T2DM prevalence recalculated using whole blood and plasma cut-off points. Shaded bars indicate T2DM prevalence based on correct glucose cut-off points for the glucose meter used (fasting blood glucose [FBG] ≥6.1 mmol/L for early surveys1,3,5 ; fasting plasma glucose [FPG] ≥7.0 mmol/L for later surveys),2,4,6 whereas open bars show T2DM prevalence based on incorrect glucose cut-off points (FPG ≥6.1 mmol/L for later surveys).2,4,6 Highlights Incorrect glucose cut-off points were applied to the Fiji 2011, Samoa 2013, and Tonga 2012 STEPS surveys. This doubled the actual T2DM prevalences compared to using the correct glucose cut-off points. The errors occurred due to modern glucose meters producing measurements in plasma-equivalent concentrations from whole blood samples. The incorrect whole blood glucose cut-off (≥6.1mmol/L) was applied instead of the correct plasma glucose cut-off (≥7.0mmol/L). This error likely affects other Pacific states, and may have global ramifications.

Analysis of the corporate political activity of major food industry actors in Fiji.

BACKGROUND: Non-communicable diseases (NCDs) are the leading cause of mortality in Fiji, a middle-income country in the Pacific. Some food products processed sold and marketed by the food industry are major contributors to the NCD epidemic, and the food industry is widely identified as having strong economic and political power. However, little research has been undertaken on the attempts by the food industry to influence public health-related policies and programs in its favour. The "corporate political activity" (CPA) of the food industry includes six strategies (information and messaging; financial incentives; constituency building; legal strategies; policy substitution; opposition fragmentation and destabilisation). For this study, we aimed to gain a detailed understanding of the CPA strategies and practices of major food industry actors in Fiji, interpreted through a public health lens. METHODS AND RESULTS: We implemented a systematic approach to monitor the CPA of the food industry in Fiji for three months. It consisted of document analysis of relevant publicly available information. In parallel, we conducted semi-structured interviews with 10 stakeholders involved in diet- and/or public health-related issues in Fiji. Both components of the study were thematically analysed. We found evidence that the food industry adopted a diverse range of strategies in an attempt to influence public policy in Fiji, with all six CPA strategies identified. Participants identified that there is a substantial risk that the widespread CPA of the food industry could undermine efforts to address NCDs in Fiji. CONCLUSIONS: Despite limited public disclosure of information, such as data related to food industry donations to political parties and lobbying, we were able to identify many CPA practices used by the food industry in Fiji. Greater transparency from the food industry and the government would help strengthen efforts to increase their accountability and support NCD prevention. In other low- and middle-income countries, it is likely that a systematic document analysis approach would also need to be supplemented with key informant interviews to gain insight into this important influence on NCD prevention.

Absolute cardiovascular risk in a Fiji medical zone.

BACKGROUND: The population of Fiji has experienced emergence of non-communicable disease (NCD) and a plateau in life expectancy over the past 20 years. METHODS: A mini-STEPS survey (n = 2765) was conducted in Viseisei in Western Fiji to assess NCD risk factors (RFs) in i-Taukei (Melanesians) and those of Indian descent aged 25-64 years (response 73 %). Hypertension (HT) was defined as systolic blood pressure (BP) ≥140 mmHg or diastolic BP ≥90 mmHg or on medication for HT; type 2 diabetes mellitus (T2DM) as fasting plasma glucose ≥7.0 mmol/L or on medication for T2DM; and obesity as a body mass index (kilograms/height(metres)(2)) ≥30. Data were age-adjusted to 2007 Fiji Census. Associations between RFs and ethnicity/education were investigated. Comparisons with Fiji STEPS surveys were undertaken, and the absolute risk of a cardiovascular disease (CVD) event/death in 10 years was estimated from multiple RF charts. RESULTS: NCD/RFs increased with age except excessive alcohol intake and daily smoking (women) which declined. Daily smoking was higher in men 33 % (95 % confidence interval: 31-36) than women 14 % (12-116); women were more obese 40 % (37-43) than men 23 % (20-26); HT was similar in men 37 % (34-40) and women 34 % (31-36), as was T2DM in men 15 % (13-17) and women 17 % (15-19). i-Taukei men had an odds ratio (OR) of 0.41 (0.28-0.58) for T2DM compared to Indians (1.00); and i-Taukei (both sexes) had a higher OR for obesity and low fruit/vegetable intake, daily smoking, excessive alcohol intake and HT in females. Increasing education correlated with lesser smoking, but with higher obesity and lower fruit/vegetable intake. Compared to the 2011 Fiji STEPS survey, no significant differences were evident in obesity, HT or T2DM prevalences. The proportion (40-64 years) classified at high or very high risk (≥20 %) of a CVD event/death (over 10 years) based on multiple RFs was 8.3 % for men (8.1 % i-Taukei, 8.5 % Indian), and 6.7 % for women (7.9 % i-Taukei, 6.0 % Indian). CONCLUSIONS: The results of the survey highlight the need for individual and community interventions to address the high levels of NCD/RFs. Evaluation of interventions is needed in order to inform NCD control policies in Fiji and other Pacific Island nations.

Continued increases in hypertension over three decades in Fiji, and the influence of obesity.

OBJECTIVES: To analyse trends during 1980-2011 in hypertension prevalence and SBP/DBP by sex in Fiji Melanesian (i-Taukei) and Indian adults aged 25-64 years; and to assess effects of BMI. METHODS: Unit record data from five population-based surveys were included (n = 14, 191). Surveys were adjusted to the nearest previous census to improve national representativeness. Hypertension was defined as SBP at least 140  mmHg and/or DBP at least 90  mmHg and/or on medication for hypertension. Regression (Poisson and linear) was used to assess period trends. RESULTS: Over 1980-2011 hypertension prevalence (%) and mean blood pressure (BP) (SBP/DBP mmHg) increased significantly (P < 0.001) in both sexes and ethnicities. Increases in hypertension were: from 16.2 to 41.3% in i-Taukei men (mean BP from 122/73 to 135/81); from 20.5 to 37.8% in Indian men (mean BP from 122/74 to 133/81); from 25.9 to 36.9% in i-Taukei women (mean BP from 126/76 to 132/81); and from 17.6 to 33.1% in Indian women (mean BP 117/71 to 130/81). The age-adjusted trend in hypertension and mean BP (over 32 years) declined after adjusting for BMI, with effects of obesity greater in women than men, and in Indians than i-Taukei. BMI explained 45% of the age-adjusted increase in DBP over the period in Indians (both sexes), and 16% (men) and 38% (women) in i-Taukei. CONCLUSION: Significant increases have occurred in hypertension prevalence and SBP/DBP in both sexes and ethnicities of Fiji during 1980-2011 with no indication of decline, contributing to significant premature mortality from cardiovascular disease.

Diabetes and obesity trends in Fiji over 30 years.

BACKGROUND: No systematic comparison has been conducted in Fiji using all suitable surveys of type 2 diabetes mellitus (T2DM) and obesity prevalence after standardizing methodology and definitions. METHODS: Unit records from six surveys of Fiji adults were variously adjusted for age, ethnicity (Fiji Melanesians, i-Taukei, and Fijians of Asian Indian descent [Indians]) and urban-rural by sex to previous censuses. Trends were assessed using meta-regression (random effect models) and estimates projected to 2020. Poisson regression of strata was used to assess the effect of body mass index (BMI) increases on T2DM period trends. RESULTS: Over 1980-2011, T2DM prevalence increased in i-Taukei men (3.2% to 11.1%; 1.32%/5 years) and women (5.3% to 13.6%; 1.40%/5 years) and Indian men (11.1% to 17.9%; 1.24%/5 years) and women (11.2% to 19.9%; 1.71%/5 years). Projected T2DM prevalence in 2020 is 13.3% and 16.7% in i-Taukei men and women, and 23.4% and 24.1% in Indian men and women, respectively. Obesity prevalence increased in i-Taukei men (12.6% to 28.9%; 2.99%/5 years) and women (30.1% to 52.9%; 3.84%/5 years) and in Indian men (2.8% to 9.4%; 1.21%/5 years) and women (13.2% to 26.6%; 2.61%/5 years). Projected obesity prevalence in 2020 is 34.0% and 60.0% in i-Taukei and women, and 11.4% and 31.0% in Indian men and women, respectively. After age-adjustment, an estimated 27%, 25%, 16% and 18% of the T2DM period trend is attributable to BMI in i-Taukei men and women and Indian men and women, respectively. CONCLUSIONS: Prevalence of T2DM in Fiji is projected to continue increasing, driven by rising obesity, with consequences for premature mortality and life expectancy.

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.