Salt and sugar intakes of adults in the central division of Fiji: findings from a nutrition survey in 2022.

Background: Excess salt and sugar consumption contribute to diseases, such as diabetes and hypertension. This study aimed to estimate salt and sugar intakes and main sources, in a population of adults in the Central Division of Fiji. Methods: One adult per household was randomly selected to participate (n = 700). Sociodemographic characteristics; blood pressure, weight, and height; a 24-h diet recall; and spot-urine samples were collected, with 24-h urine samples from a sub-sample (n = 200). Sugar intake was estimated from the 24-h diet recalls and salt intake from the spot-urines. 24-hr diet recall was used to identify main sources of salt and sugar by food groups. Findings: 534 adults (response rate 76%, 50% women, mean age 42 years) participated. Salt intake was 8.8 g/day (95% CI, 8.7-9.0), and free sugar intake was 74.1 g/day (67.5-80.7), 16.1% of total energy intake (15.0-17.1%). Main sources of salt were mixed cooked dishes (40.9% (38.2-43.5)), and bread and bakery products (28.7% (26.5-31.0)). Main sources of sugar were table sugars, honey, and related products (24.3% (21.7-26.8)), non-alcoholic beverages (21.4% (18.8-24.0)) and bread and bakery products (18.0% (16.2-19.9)). Interpretation: Salt and sugar intakes exceeded World Health Organization recommendations in this sample of adults. Given dietary sources were foods high in salt and sugar, along with the addition to food or drinks, interventions focused on behavior along with environmental strategies to encourage healthier choices are needed. Funding: NHMRC and GACD grant APP1169322.

Food insecurity, COVID-19 and diets in Fiji - a cross-sectional survey of over 500 adults.

INTRODUCTION: Food insecurity is associated with inadequate nutrition and increased rates of chronic disease. The primary aim of this study was to assess self-reported food insecurity and the perceived impact of COVID-19 on food security, in two regional districts of Central Fiji, as part of a broader program of work on strengthening and monitoring food policy interventions. The secondary aim was to explore the relationship between food insecurity and salt, sugar and fruit and vegetable intake. METHODS: Seven hundred adults were randomly sampled from the Deuba and Waidamudamu districts of Viti Levu, Fiji. Interview administered surveys were conducted by trained research assistants with data collected electronically. Information was collected on demographics and health status, food security, the perceived impact of COVID-19 on food security, and dietary intake. Food insecurity was assessed using nine questions adapted from Fiji's 2014/5 national nutrition survey, measuring markers of food insecurity over the last 12 months. Additional questions were added to assess the perceived effect of COVID-19 on responses. To address the secondary aim, interview administered 24-hour diet recalls were conducted using Intake24 (a computerised dietary recall system) allowing the calculation of salt, sugar and fruit and vegetable intakes for each person. Weighted linear regression models were used to determine the relationship between food insecurity and salt, sugar and fruit and vegetable intake. RESULTS: 534 people participated in the survey (response rate 76%, 50.4% female, mean age 42 years). 75% (75.3%, 95% CI, 71.4 to 78.8%) of people reported experiencing food insecurity in the 12 months prior to the survey. Around one fifth of people reported running out of foods (16.8%, 13.9 to 20.2%), having to skip meals (19.3%, 16.2 to 22.9%), limiting variety of foods (19.0%, 15.9 to 22.5%), or feeling stressed due to lack of ability to meet food needs (19.5%, 16.4 to 23.0%). 67% (66.9%, 62.9 to 70.7%) reported becoming more food insecure and changing what they ate due to COVID-19. However, people also reported positive changes such as making a home garden (67.8%, 63.7 to 71.6%), growing fruit and vegetables (59.5%, 55.6 to 63.8%), or trying to eat healthier (14.7%, 12.0 to 18.0%). There were no significant associations between food insecurity and intakes of salt, sugar or fruit and vegetables. CONCLUSION: Participants reported high levels of food insecurity, exceeding recommendations for salt and sugar intake and not meeting fruit and vegetable recommendations, and becoming more food insecure due to COVID-19. Most participants reported making home gardens and/or growing fruit and vegetables in response to the pandemic. There is an opportunity for these activities to be fostered in addressing food insecurity in Fiji, with likely relevance to the Pacific region and other Small Island Developing States who face similar food insecurity challenges.

Rapid review of factors influencing dietary behaviors in Fiji.

Introduction: In Fiji, multiple burdens of malnutrition including undernutrition, overweight/obesity, and micronutrient deficiencies coexist at the individual, household, and population levels. The diets of children, adolescents, and adults are generally unhealthy. The objective of this review was to understand how the dietary behaviors of children, adolescents, and women in Fiji are influenced by individual, social, and food environment factors. Methods: This rapid review was conducted to synthesize existing evidence, identify research gaps in the evidence base, and make recommendations for future research. The Cochrane Rapid Reviews Methods and the updated guideline for reporting systematic reviews were used. The search strategy for this rapid review was based on the Population Context Outcome [P(E)CO] framework, including search terms for population (children, adolescents, and adults), context (Fiji), and outcome (dietary behaviors). Searches were conducted in PubMed, Scopus, PsycINFO, and Google Scholar. Results: The 22 studies included in this review identified different factors influencing dietary behaviors in Fiji. Individual preferences for processed and imported foods, especially of younger generations, and social dynamics, especially gender norms and social pressure, to serve meat and overeat appeared to be prominent in driving dietary habits. The ongoing nutrition transition has led to increasing availability and affordability of ultra-processed and fast foods, especially in urban areas. Concerns about food safety and contamination and climate change and its effect on local food production also appear to influence dietary choices. Discussion: This review identified different dynamics influencing dietary behaviors, but also research gaps especially with regard to the food environment, calling for an integrated approach to address these factors more systemically.

Patterns and risk factors associated with index Lower Extremity Amputations (LEA) among Type 2 Diabetes Mellitus (T2DM) patients in Fiji.

AIM: To describe patterns of index (first ever) Lower Extremity Amputations (LEA) and to determine factors associated with their occurrence amongst Type 2 Diabetes Mellitus (T2DM) patients in Fiji. METHODS: This cross-sectional study was conducted that adheres to the STROBE check lists for observational research among T2DM patients who experienced index LEA at the Colonial War Memorial Hospital (CWMH) in Fiji between 2011 and 2015. Demographic and clinical variables were extracted from patient folders. Univariate and multivariate logistic regression were used to determine factors associated with Major LEA. A p-value < 0.05 was considered significant. RESULTS: A total of 649 study participants were studied with the average age of index amputation was 58.4 years (±9.6 years, range 30-91 years). The average duration of T2DM was 9.5 ± 5.7 years. LEAs were more common amongst males (55%) and indigenous Fijians (71.8%). One-third of index LEA (33%) were major amputations. Factors associated with occurrence of Major LEA were poor Random Blood Sugar (RBS) levels (OR = 1.68, 95% CI: 1.01, 2.81), midfoot lesion (OR = 9.38 95% CI: 4.95, 19.52), septicaemia (OR = 2.42, 95% CI: 1.28, 4.57), low haemoglobin level (OR = 0.78 95% CI: 0.72, 0.86), and history of hypertension (OR = 0.58, 95% CI: 0.40, 0. 84). CONCLUSIONS: Results indicate that diabetic patients with foot infections present late to tertiary level care. Our findings also show an urgent need to strengthen primary care interventions and surveillance of both diabetes and diabetic LEA.

Trends in mortality and life expectancy in Fiji over 20 years.

BACKGROUND: Fiji, a Pacific Island nation of 884,887 (2017 census), has experienced a prolonged epidemiological transition. This study examines trends in mortality and life expectancy (LE) in Fiji by sex and ethnicity over 1996-2017, with comparisons to published estimates. METHODS: Trends in infant mortality rates (IMR), under-5 mortality (U5M), adult mortality (probability of dying), LE (at birth) and directly age-standardised death rates (DASRs) by sex and ethnicity, are calculated (with 95% confidence limits) using unit death records from the Fiji Ministry of Health and Medical Services. The LE gap between populations, or within populations over time, is examined using decomposition by age. Period trends are assessed for statistical significance using linear regression. RESULTS: Over 1996-98 to 2014-17: IMR and U5M for i-Taukei and Fijians of Indian descent declined; U5M decline for i-Taukei (24.6 to 20.1/1000 live births) was significant (p = 0.016). Mortality (15-59 years) for i-Taukei males was unchanged at 27% but declined for Indians 33 to 30% (p = 0.101). Mortality for i-Taukei females increased 22 to 24% (p = 0.011) but declined for Indians 20 to 18% (p = 0.240). DASRs 1996-2017 were lower for i-Taukei (9.3 to 8.2/1000 population) than Indian males (10.6 to 9.8/1000). DASRs declined for i-Taukei (both sexes, p < 0.05), and for Indians (both sexes, p > 0.05). Over 22 years, LE at birth increased by 1 year or less (p = 0.030 in male i-Taukei). In 2014-17, LE (years) for males was: i-Taukei 64.9, Indians 63.5; and females: i-Taukei 67.0 and Indians 68.2. Mortality changes in most 5-year age groups increased or decreased the LE gap less than 10 weeks over 22 years. Compared to international agency reports, 2014-17 empirical LE estimates (males 64.7, females 67.8) were lower, as was IMR. CONCLUSIONS: Based on empirical data, LE in Fiji has minimally improved over 1996-2017, and is lower than some international agencies report. Adult mortality was higher in Indian than i-Taukei men, and higher in i-Taukei than Indian women. Exclusion of stillbirths resulted in IMRs lower than previously reported. Differing mortality trends in subgroups highlight the need to collect census and health data by ethnicity and sex, to monitor health outcomes and inform resource allocation.

Effect of ten-valent pneumococcal conjugate vaccine introduction on pneumonia hospital admissions in Fiji: a time-series analysis.

BACKGROUND: In October, 2012, Fiji introduced routine infant immunisation with a ten-valent pneumococcal conjugate vaccine (PCV10) using three primary doses and no booster dose (3 + 0 schedule). Data are scarce for the effect of PCV in the Asia and Pacific region. We aimed to evaluate the effect of PCV10 on pneumonia hospital admissions in children younger than 5 years and adults aged 55 years and older in Fiji, 5 years after vaccine introduction. METHODS: We did a time-series analysis assessing changes in pneumonia hospital admissions at three public tertiary hospitals in Fiji. Four pneumonia outcomes were evaluated: all-cause pneumonia, severe or very severe pneumonia, hypoxic pneumonia, and radiological pneumonia. Participants aged younger than 2 months, 2-23 months, 24-59 months, and 55 years and older were included. Data were extracted from the national hospital admission database according to International Classification of Diseases-tenth revision codes J10·0-18·9, J21, and J22 for all-cause pneumonia. Medical records and chest radiographs were reviewed for the main tertiary hospital to reclassify hospital admissions in children aged younger than 2 years as severe or very severe, hypoxic, or radiological pneumonia as per WHO definitions. Time-series analyses were done using the synthetic control method and multiple imputation to adjust for changes in hospital usage and missing data. FINDINGS: Between Jan 1, 2007, and Dec 31, 2017, the ratio of observed cases to expected cases for all-cause pneumonia was 0·92 (95% CI 0·70-1·36) for children aged younger than 2 months, 0·86 (0·74-1·00) for children aged 2-23 months, 0·74 (0·62-0·87) for children aged 24-59 months, and 1·90 (1·53-2·31) in adults aged 55 years and older, 5 years after PCV10 introduction. These findings indicate a reduction in all-cause pneumonia among children aged 24-59 months and an increase in adults aged 55 years and older, but no change among children aged younger than 2 months. Among children aged 2-23 months, we observed declines of 21% (95% CI 5-35) for severe or very severe pneumonia, 46% (33-56) for hypoxic pneumonia, and 25% (9-38) for radiological pneumonia. Mortality reduced by 39% (95% CI 5-62) for all-cause pneumonia, bronchiolitis, and asthma admissions in children aged 2-23 months. INTERPRETATION: The introduction of PCV10 was associated with a decrease in pneumonia hospital admissions in children aged 2-59 months. This is the first study in a middle-income country in the Asia and Pacific region to show the effect of PCV on pneumonia, filling gaps in the literature on the effects of PCV10 and 3 + 0 schedules. These data support decision making on PCV introduction for other low-income and middle-income countries in the region. FUNDING: Department of Foreign Affairs and Trade of the Australian Government.

Prevalence of syphilis, gonorrhoea and chlamydia in women in Fiji, the Federated States of Micronesia, Papua New Guinea and Samoa, 1995-2017: Spectrum-STI model estimates.

OBJECTIVE: To estimate prevalence levels of and time trends for active syphilis, gonorrhoea and chlamydia in women aged 15-49 years in four countries in the Pacific (Fiji, the Federated States of Micronesia [FSM], Papua New Guinea [PNG] and Samoa) to inform surveillance and control strategies for sexually transmitted infections (STIs). METHODS: The Spectrum-STI model was fitted to data from prevalence surveys and screenings of adult female populations collected during 1995-2017 and adjusted for diagnostic test performance and to account for undersampled high-risk populations. For chlamydia and gonorrhoea, data were further adjusted for age and differences between urban and rural areas. RESULTS: Prevalence levels were estimated as a percentage (95% confidence interval). In 2017, active syphilis prevalence was estimated in Fiji at 3.89% (2.82 to 5.06), in FSM at 1.48% (0.93 to 2.16), in PNG at 3.91% (1.67 to 7.24) and in Samoa at 0.16% (0.07 to 0.37). For gonorrhoea, the prevalence in Fiji was 1.63% (0.50 to 3.87); in FSM it was 1.59% (0.49 to 3.58); in PNG it was 11.0% (7.25 to 16.1); and in Samoa it was 1.61% (1.17 to 2.19). The prevalence of chlamydia in Fiji was 24.1% (16.5 to 32.7); in FSM it was 23.9% (18.5 to 30.6); in PNG it was 14.8% (7.39 to 24.7); and in Samoa it was 30.6% (26.8 to 35.0). For each specific disease within each country, the 95% confidence intervals overlapped for 2000 and 2017, although in PNG the 2017 estimates for all three STIs were below the 2000 estimates. These patterns were robust in the sensitivity analyses. DISCUSSION: This study demonstrated a persistently high prevalence of three major bacterial STIs across four countries in WHO's Western Pacific Region during nearly two decades. Further strengthening of strategies to control and prevent STIs is warranted.

Dengue in Fiji: epidemiology of the 2014 DENV-3 outbreak.

INTRODUCTION: Dengue virus serotype-3 caused a large community-level outbreak in Fiji in 2013 and 2014. We aimed to characterize the demographic features of affected individuals and to determine dengue mortality during the outbreak. METHODS: All laboratory-confirmed dengue cases and deaths were included in this study. Incidence and mortality were calculated according to demographic variables. RESULTS: A total of 5221 laboratory-confirmed cases of dengue were included in this analysis. The majority of patients were male (54.5%) and indigenous Fijians (iTaukei) (53.5%). The median age was 25 years old. The overall incidence was 603 per 100 000 population. The age-specific incidence was highest among people between 20 and 24 years of age (1057 per 100 000) for both sexes. The major urban and peri-urban areas of Suva and Rewa subdivisions reported the highest incidence of > 1000 cases per 100 000 population.​: A total of 48 deaths were included in this analysis. The majority of dengue-related deaths occurred in males (62.5%) and in the iTaukei (60.4%) population. The median age at death was 35 years old. The overall dengue-related deaths was estimated to be 5.5 deaths per 100 000 population. Dengue mortality was higher for males (6.8 per 100 000) than females. The highest age- and sex-specific mortality of 18 per 100 000 population was among males aged 65 years and older. DISCUSSION: Dengue morbidity and mortality were highest among males, indigenous people and residents of urban and peri-urban locations. Effective and integrated public health strategies are needed to ensure early detection and appropriate outbreak control measures.

Changes in proportional mortality from diabetes and circulatory disease in Mauritius and Fiji: possible effects of coding and certification.

BACKGROUND: Many developing countries are experiencing the epidemiological transition, with the majority of deaths attributed to cardiovascular disease, cancer, Type 2 diabetes (T2DM) and others. In some countries, large proportional mortality attributed to diabetes is evident in official mortality statistics, with Mauritius and Fiji rated as the highest in the world. METHODS: This study investigates trends in recorded diabetes and cardiovascular disease mortality in Mauritius and Fiji under coding from the International Classification of Diseases (ICD) versions 9 and 10, using mortality data reported from these countries to the World Health Organization (WHO). RESULTS: In Mauritius over 1981-2004, T2DM proportional mortality varied between 4% and 7% in males (M) and 5% and 9% in females (F). In 2005 there was a sudden increase to M 20% and F 25%, which continued to M 25% and F 30% by 2012. Over 1981-2004 the proportion of circulatory disease mortality rose from 44% to 49% in males, and from 46% to 57% in females. In 2005, circulatory disease mortality proportions fell precipitously to 34% in males and 37% in females, and declined to 31% and 34% by 2013. ICD-10 coding was introduced in 2005. In Fiji, sharp rises in proportional T2DM mortality from 3% in both sexes in 2001 to M 15% and F 20% in 2002 were followed by more gradual trend increases to M 20% and F 26% by 2012-13. Circulatory disease proportions fell steeply from M 57% and F 53% in 2001 to M 44% and M 38% by 2004, with subsequent less steep declines to M 39% and F 30% by 2012. ICD-10 coding was introduced in 2001. CONCLUSIONS: Large, abrupt changes in diabetes and circulatory disease proportional mortality in Fiji and Mauritius coincided with the local introduction of ICD-10 coding in different years. There is also evidence for diabetes-related misclassification of underlying cause of death in Australia and the USA. These artefacts can undermine accurate monitoring of cause of death for evaluation of effectiveness of prevention and control, especially of circulatory disease mortality which is demonstrably reversible in populations.

Evaluation of the early warning, alert and response system after Cyclone Winston, Fiji, 2016.

OBJECTIVE: To assess the performance of an early warning, alert and response system (EWARS) developed by the World Health Organization (WHO) - EWARS in a Box - that was used to detect and control disease outbreaks after Cyclone Winston caused destruction in Fiji on 20 February 2016. METHODS: Immediately after the cyclone, Fiji's Ministry of Health and Medical Services, supported by WHO, started to implement EWARS in a Box, which is a smartphone-based, automated, early warning surveillance system for rapid deployment during health emergencies. Both indicator-based and event-based surveillance were employed. The performance of the system between 7 March and 29 May 2016 was evaluated. Users' experience with the system was assessed in interviews using a semi-structured questionnaire and by a cross-sectional survey. The system's performance was assessed using data from the EWARS database. FINDINGS: Indicator-based surveillance recorded 34 113 cases of the nine syndromes under surveillance among 326 861 consultations. Three confirmed outbreaks were detected, and no large outbreak was missed. Users were satisfied with the performance of EWARS and judged it useful for timely monitoring of disease trends and outbreak detection. The system was simple, stable and flexible and could be rapidly deployed during a health emergency. The automated collation, analysis and dissemination of data reduced the burden on surveillance teams, saved human resources, minimized human error and ensured teams could focus on public health responses. CONCLUSION: In Fiji, EWARS in a Box was effective in strengthening disease surveillance during a national emergency and was well regarded by users.

Validation of administrative data to estimate vaccine impact: Audit of the Fiji hospital admissions electronic database, 2007-2011 & 2014-2015.

OBJECTIVES: Post-licensure studies to evaluate vaccine impact are an important component of introducing new vaccines. Such studies often rely on routinely collected data but the limitations to these data must be understood. To validate administrative data for use in 10-valent pneumococcal conjugate and rotavirus vaccine impact evaluations we have audited the two electronic database capturing hospital admissions in Fiji for completeness and consistency. METHODS: Hospital admission data for one week per year between 2007-2011 and 2014-2015 was collected from ward registers for selected hospitals. Ward registers were defined as the reference standard and compared to data captured in electronic databases. Data quality was assessed for completeness of admissions data (percentage of admissions in the electronic database, expressed as sensitivity), consistency of complete reporting (determined by identifying variables associated to complete reporting), and completeness of coding (percentage of admissions in the electronic database with an assigned ICD-10-AM code). RESULTS: Over all hospitals and years, the sensitivity for completeness of admission data was 83% (95% CI: 81.3, 84.6). Consistency of complete reporting varied and was highest at tertiary hospitals using the electronic database (sensitivity: 89.1%, 95% CI: 87.4, 90.7). The overall completeness of coding at tertiary hospitals was 90.8% (95% CI: 90.5, 91.1) with annual and hospital variation. CONCLUSION: The administrative data in the electronic databases in Fiji are of reasonable quality for the vaccine impact evaluation. This quantification of the missing data can be used to adjust the vaccine impact estimates.