| Literature DB >> 27009072 |
Karen E Charlton1, Joanna Russell2, Emma Gorman2, Quentin Hanich3, Aurélie Delisle3, Brooke Campbell3, Johann Bell3,4.
Abstract
BACKGROUND: Pacific Island countries and territories (PICTs) face a double burden of disease, with a high prevalence of household food insecurity and childhood micronutrient deficiencies, accompanied by a burgeoning increase in adult obesity, diabetes and heart disease.Entities:
Keywords: Fish; Food security; Non communicable diseases; Pacific Islands; Systematic review
Mesh:
Year: 2016 PMID: 27009072 PMCID: PMC4806432 DOI: 10.1186/s12889-016-2953-9
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Pacific Island countries and territories
| Melanesian | Polynesian | Micronesian |
|---|---|---|
| Fiji | American Samoa | Federated States of Micronesia |
| New Caledonia | Cook Islands | Guam |
| Papua New Guinea | French Polynesia | Kiribati |
| Solomon Islands | Niue | Marshall Islands |
| Vanuatu | Pitcairn Island | Nauru |
| Samoa | Northern Marianas Islands | |
| Tonga | Palau | |
| Tokelau | ||
| Tuvalu | ||
| Wallis and Futuna |
Search terms used to identify articles for review
| Keywords | |
| “Pacific Island*” OR Kiribati OR Tuvalu OR Micronesia OR “Papua New Guinea” OR Nauru OR Palau OR “Solomon Island*” OR “Marshall Island*” OR Samoa OR “American Samoa” OR “Cook Island*” OR Fiji OR “New Caledonia” OR Tokelau OR “French Polynesia” OR Niue OR Tonga OR Guam OR Vanuatu OR “Pitcairn Island” OR “Wallis and Futuna” OR “Northern Mariana Island*” | |
| AND | Fish* |
| OR | “Food securit*” OR “food insecurit*” OR “food suppl*” |
| OR | Nutrition OR “nutrition* status” OR “nutrition* outcomes” OR malnutrition OR “under nutrition” OR diet OR wasting OR stunting OR underweight |
*denotes that any word preceded by this term could be included as a search term
Subject areas excluded using database functions
| Scopus | Web of Science | Medline |
|---|---|---|
| Neuroscience | Parasitology | Function not available |
| Psychology | Toxicology | |
| Computer science | Infectious diseases Pharmacology and pharmacy | |
| Dentistry | ||
| Chemical engineering | Nuclear science technology | |
| Engineering | Clinical neurology Neurosciences | |
| Mathematics | ||
| Material sciences | Surgery | |
| Physics and astronomy Pharmacology, toxicology and pharmaceutics | Medicine research experimental | |
| Engineering chemical Virology | ||
| Computer science interdisciplinary applications | ||
| Radiology nuclear medicine medical imaging | ||
| Operations research management science |
Fig. 1PRISMA flowchart of search process [32]
Characteristics and main findings of studies assessing fish consumptiona
| Reference | Population | Designb | Outcome measuresb | Key findingsb |
|---|---|---|---|---|
| Melanesia | ||||
| Fiji | ||||
| Hedges et al. [ | 20 non-pregnant non nursing females in Verata | Cross sectional study : | Energy derived from protein, fat and carbohydrate (CHO), intake of protein and sources of protein intake | Mean energy from protein/carbohydrate/fat over the 2 weeks was 13 %/66 %/21 % respectively. |
| Kuster et al. [ | Ono-i-Lau Island | Cross sectional | Mean weekly household income and fish yield per capital. | Total annual landings of finfish decreased by 27 % from 1982 to 2002 |
| Turner et al. [ | Lau Province, 25 experienced local fishers | Cross sectional | Time spent fishing, importance of fishing for income generation, patterns of fish consumption and awareness of ecological change within the local qoliqoli (fishing ground) | No significant change in overall time spent fishing in the past 6–10 years. |
| New Caledonia | ||||
| Guillemot et al. [ | 146 local fishers on the North west coast | Cross sectional study: | Average number of fishing trips per year, average catch per fishing trip (kg) and annual reef fish consumption per capita | Total catches of reef fish estimated at 169 t/year. |
| Labrosse et al. [ | 646 individuals aged over 7 years, in the Northern Province | Cross sectional study: | Weekly and annual fish intake, quantity of fish per meal (g), subsistence versus purchased fish intake | Only 1.3 % of the participants reported never eating fish. 85 % of participants ate fish 1 or more times a week, with 45 % of these eating fish 2–3 times/week and 11 % consuming fish 1–2/day. |
| Leopold et al. [ | 38 households on Ouvea Island | Cross sectional study: | Annual fish consumption per household and per consumption unit (CU) | Annual fish consumption per household was a mean 289 kg. |
| Solomon Islands | ||||
| Aswani & Furusawa [ | Five villages in the Roviana Lagoon, | Cross sectional | Contribution of marine resources to protein intake | 64 – 100 % of all participants identified fish as the main source of protein consumed by their household |
| Mertz et al. [ | 46 heads of households in Tikopia | Cross sectional | Fish and meat intake; | Fish consumed daily by 72 % of households. |
| Papua New Guinea | ||||
| van der Heijden [ | 609 individuals residing in high, middle and low altitude villages in the Ramu catchment and 204 fishers from the Yonki Reservoir (high altitude) | Cross sectional study: | Contribution of fish to intake of animal based foods | Fish and other aquatic animals caught in nearby waters contributed 7.7 % of food from animal sources for high and middle altitude participants. |
| Vengiau et al. [ | 70 adult Naasioi migrants residing in Port Moresby aged 18–65 years | Cross sectional study: | Association between socio-economic status and food intake type | “Socio-economic index” was positively correlated with greater consumption of “traditional foods” e.g., bananas, tubers, fruits and vegetables compared to “store foods” e.g., rice, noodles, canned fish and soft drink ( |
| Vengiau et al. [ | 70 adult Naasioi migrants residing in Port Moresby aged 18–65 years | Cross sectional study: | Identification of key dietary patterns | Two dietary patterns emerged. ‘Traditional diet’ - which was correlated with consumption of bananas, tubers, other sweet potato, pawpaw and leafy greens and negatively correlated with consumption of rice, canned fish and soft drinks. The second dietary pattern was correlated with consumption of store bought foods e.g., rice, noodles, canned fish and soft drinks |
| Republic of Vanuatu | ||||
| Dancause et al. [ | 425 children and 559 adults on three islands varying in economic development (Ambae, Aneityum and Efate) | Cross sectional study: | Behavourial changes within and among islands associated with economic development | Hypertension or CVD among family members was reported by 19.7 % of participants in Ambae, by 35.3 % in Aneityum and 45.1 % in Efate. |
| Dancause et al.[ | 534 males and females aged ≥18 years on three islands: Ambae, Aneityum and Efate | Cross sectional study: | Association between fish and meat intake and anthropometric measures | For males and females means of anthropometric measures were lowest in Ambae (rural), intermediate in Aneityum (rural with tourism) and highest in Efate (suburban). |
| Li et al. [ | 153 school children aged 8–10 years from four locations on the island of Tanna | Cross sectional study: | Intake of fish and type of fish consumed | 39 % of children reported eating fish on at least a weekly basis and 44 % on a monthly basis. Canned fish consumption was reported by 70 % of participants. |
| Polynesia | ||||
| French Polynesia | ||||
| Clero et al. [ | 229 cases :203 women and 26 men diagnosed with thyroid cancer from 1979 to 2004 | Case–control study: | Energy intake (kcal), iodine nutrition status and risk of thyroid cancer | Cases consumed a mean 71 g/day of fish and shellfish compared to 83 g/day in controls. |
| Clero et al | 229 cases :203 women and 26 men diagnosed with thyroid cancer from 1979 to 2004 | Case–control study: | Association between dietary pattern and thyroid cancer risk | 2 major dietary patterns were identified: Western and traditional Polynesian. |
| Dewailly et al.[ | 214 pregnant women who gave birth between October 2005 and February 2006 and their neonates | Cross sectional study: | Monthly fish intake (meals/month) including type of fish | In pregnant women, mean fish consumption was 33 meals/month of which 21.3 and 11.5 meals/months were from reef and pelagic fish respectively. Tuna (75 %) was the most common pelagic fish species consumed. |
| Kingdom of Tonga | ||||
| Konishi et al | 19 females (aged 40–59 years) and their spouses (15) from Kolovai village | Cross sectional study: | Protein intake (g) and contribution of local fish and imported meats to nutrient intake | Daily protein intake was 112 g and 97 g for men and women respectively. 97 % of participants were considered to have adequate protein intake. |
| Kronen & Bender [ | Lofanga Island | Mixed methods | Fishing practices including contribution of fish to livelihood and weekly fish consumption through | Fisheries, agricultural production and handicrafts all contributed to income generation. Fisheries ranked higher than agriculture and handicrafts. |
| Smith et al | 443 school students aged 11–16 years from Tongatapu, Vava’u and Hapa’ai. | Cross sectional study: | Intake of canned fish, mutton and beef | 35 % of participants reported consuming canned fish once or more a day compared to 57 % who reported consuming canned mutton or beef once or more a day |
| Samoa and American Samoa | ||||
| Craig et al | 594 fishermen and 20 males aged 43–72 years from Ofu, Olosega and Sili villages in American Samoa | Cross sectional | Annual fish consumption | Per capita fish catch was 71 kg. |
| DiBello et al | 723 American Samoans and 785 Samoans aged ≥18 years | Cross sectional study: | Prevalence of metabolic syndrome | The prevalence of metabolic syndrome was 49.4 % and 30.6 % in American Samoan and Samoan samples respectively |
| Micronesia | ||||
| Federated States of Micronesia | ||||
| Corsi et al | 293 females aged 15–64 years located in Ponhpei | Cross sectional study: | Fish and meat consumption | 79 % of participants reported frequent consumption of local fish/seafood. Local fish/seafood was consumed twice as frequently (4.8 days/week) compared to imported fish/seafood (2.4 days/week). Imported meats such as turkey tail were consumed more frequently 1.9 days/week) than local meats (1.3 days/week). |
| Englberger et al | Kosrae | Cross sectional study: | Intake of total Vitamin A, retinol and protein (g). Sources of vitamin A | Main dietary components included imported products of rice, flour, chicken, other meats and tinned fish and local products of breadfruit, banana, taro, fish and other seafood. |
| Guam | ||||
| Pobocik et al | 211 males and 189 females | Cross sectional study: | Fish and other meat intake | Most commonly reported meats consumed were chicken (reported 159 times), beef (148), fish (141), eggs (75), sausage/bacon/hot dogs (65), pork/ham (60) and canned meat (42). |
| Multiple PICTs | ||||
| Phongsavan et al | 4885 school children aged 13–15 years from Republic of Vanuatu, Kingdom of Tonga and Federated States of Micronesia | Cross sectional study: | Canned fish and mutton intake | In Vanuatu, canned fish was consumed on a daily basis by 40 % of students and canned mutton 17 % of students. |
aFish: Refers to fresh fish unless otherwise specified. b Note: When describing the design, outcome measures and findings of each study only details relevant to this systematic literature review were included in the summary table. BMI body Mass Index, FFQ Food Frequency Questionnaire, WHO World Health Organisation, FAO Food and Agricultural Organisation of the United Nations
Characteristics and main findings of studies assessing the contribution of fishing to Pacific Islander livelihoods
| Reference | Study Population | Study Designa | Outcome measuresa | Key findingsa |
|---|---|---|---|---|
| Melanesia | ||||
| Fiji | ||||
| Kuster et al | Ono-i-Lau Island | Cross sectional | Mean weekly household income and fish yield per capital. | Total annual landings of finfish decreased by 27 % from 1982 to 2002 |
| Middlebrook & Williamson [ | Ucunivanua and Namatakula, Island of Viti Levu | Cross sectional | Household income, source of income and household fishing activity | Ucunivanua: Mean monthly household income of FJ$ 411.75 ± 73.51 (SD). Income generated through fishing activities (75 %), with 20 % from farming and 5 % from wage-paid jobs. |
| O’Garra [ | Navakavu fishing grounds, Rewa, | Cross sectional | Socio-demographic characteristics of household, household livelihood activities and household fishing activities | Mean annual household income was FJ$ 2921. |
| Turner et al | Lau Province, 25 experienced local fishers | Cross sectional | Time spent fishing, importance of fishing for income generation, patterns of fish consumption and awareness of ecological change within the local qoliqoli (fishing ground) | No significant change in overall time spent fishing in the past 6–10 years. |
| Solomon Islands | ||||
| Albert et al | Western Province and Guadalcanal Province | Cross sectional | Annual fish catch and contribution of FAD to fish catch | Near shore FADs contributed 31–45 % of the total annual catch (mean 7500kgs). |
| Papua New Guinea | ||||
| Cinner et al. [ | Ahus Island | Cross sectional | Percent of households engaged in fishing and importance of fishing relative to other livelihood activities | >96 % of households were engaged in fishing and >76 % ranked fishing as their primary occupation. Due to the remoteness of the Island participants reported few opportunities to engage in other economic sectors. |
| Polynesia | ||||
| French Polynesia | ||||
| Walker & Robinson [ | Moorea | Cross sectional | Fishing activities including subsistence and commercial activities | 60 % of participants fished on average 2 days per week; 10 % did not fish at all. |
| Kingdom of Tonga | ||||
| Kronen & Bender [ | Lofanga Island | Mixed methods | a) Fishing practices including contribution of fish to livelihood and weekly fish consumption through | Fisheries, agricultural production and handicrafts all contributed to income generation. Fisheries ranked higher than agriculture and handicrafts. |
| Micronesia | ||||
| Federated States of Micronesia | ||||
| Corsi et al | 293 females aged 15–64 years located in Ponhpei | Cross sectional study: | Fish and meat consumption | 79 % of participants reported frequent consumption of local fish/seafood. Local fish/seafood was consumed twice as frequently (4.8 days/week) compared to imported fish/seafood (2.4 days/week). Imported meats such as turkey tail were consumed more frequently 1.9 days/week) than local meats (1.3 days/week).8 % of participants reported their household relied on farming and fishing for their primary income 6 % relied on fishing alone. |
aNote: When describing the design, outcome measures and findings of each study only details relevant to this systematic literature review were included in the summary table bFish: Refers to fresh fish unless otherwise specified
Vanuatu case study: demographic, nutrition and fish data
| Indicator | Result | Ref | ||||
|---|---|---|---|---|---|---|
| Population | All | 276, 579 | [ | |||
| <5 years | 35 000 | [ | ||||
| Life expectancy at birth | Male | 70 years | [ | |||
| Female | 73 years | |||||
| Births per year | 7911 | [ | ||||
| Mortality/1000 | Infant | 28 | [ | |||
| Under 5 | 31 | |||||
| Household expenditure on food | 49.8 % | [ | ||||
| Nutrition | ||||||
| Vitamin A deficiency in pre-school aged children | 16 % | [ | ||||
| Nutritional status among children <5 years: | Stunting | 28.5 % | [ | |||
| Wasting | 4.4 % | |||||
| Underweight | 10.7 % | |||||
| Nutritional status among adults | overweight or obese: | Women | 49.5 % | [ | ||
| aged 15–49 years | Men | 35.8 % | ||||
| Raised blood pressure: | 47.2 % | [ | ||||
| Raised blood glucose: | 19 % | [ | ||||
| Raised blood cholesterol: | 37.6 % | [ | ||||
| Energy (kcal) available per capita | 2820 | [ | ||||
| Diet composition of population: | Carbohydrate | 60 % | [ | |||
| Fat | 31 % | |||||
| Total protein | 9 % | |||||
| Infant feeding practices: | Children < 5 years are ever breastfed | 94.9 % | [ | |||
| Infants exclusively breastfeed to 5 months | 72.6 % | |||||
| Households consuming adequate iodised salt: | 50.7 % | [ | ||||
| Fish and fisheries | National Urban | Rural | Coastal | [ | ||
| Annual per capita fish consumption (kg) | 20.3 | 19.3 | 20.6 | 29.9 | ||
| Subsistence fishing | 51 % | 17 % | 60 % | - | ||
| Purchased | 49 % | 83 % | 40 % | - | ||
| Consumption of fresh fish | 60 % | 38 % | 65 % | 72 % | ||
| Fish as % of total protein consumption | Total protein | 14.9 % | [ | |||
| Animal protein | 35.8 % | |||||
| Forecasts of fish required for food (tonnes) | 2010 | 8200 | [ | |||
| 2020 | 10 700 | |||||
| 2030 | 13 600 | |||||
| Rural households engaged in fishing activities | 72 % | [ | ||||
| Dependence on fisheries for income : | Marine fishing activities | Urban | 11 % | [ | ||
| Rural | 39 % | |||||
| Fresh water fishing activities | Urban | 4 % | ||||
| Rural | 21 % | |||||
| Official fishing contribution to GDP | 0.8 % | [ | ||||
| Contribution of fish access fees to national revenue | 1.2 % | [ | ||||
Kiribati case study: demographic, nutrition and fish indicators
| Indicator | Result | Ref | ||||
|---|---|---|---|---|---|---|
| Population | All | 101,000 | [ | |||
| <5 years | 11 000 | [ | ||||
| Life expectancy at birth | Male | 65 years | [ | |||
| Female | 70 years | |||||
| Births per year | 2000 | [ | ||||
| Mortality/1000 | Infant | 25.6 | [ | |||
| Under 5 | ||||||
| 60 | ||||||
| Household expenditure on food | 46 % | [ | ||||
| Nutrition | ||||||
| Vitamin A deficiency in pre-school aged children | 22 % | [ | ||||
| Nutritional status among children <5 years: | Stunting | -- | ||||
| Wasting | -- | |||||
| Underweight | 14.9 % | [ | ||||
| Nutritional status among adults | overweight or obese: | Women | 78.9 % | [ | ||
| aged 15–49 years | Men | 67.4 % | ||||
| Raised blood pressure: | 37.4 % | [ | ||||
| Raised blood glucose: | 21.4 % | [ | ||||
| Raised blood cholesterol: | 35.5 % | [ | ||||
| Energy (kcal) available per capita | 3022 | [ | ||||
| Diet composition of population: | Carbohydrate | 58.6 % | [ | |||
| Fat | 31 % | |||||
| Total protein | 10.5 % | |||||
| Infant feeding practices: | Children < 5 years are ever breastfed | 83 % | [ | |||
| Infants exclusively breastfeed to 5 months | 69 % | |||||
| Households consuming adequate iodised salt: | 5 % | [ | ||||
| Fish and fisheries | National | Urban | Rural | Coastal | [ | |
| Annual per capita fish consumption (kg) | 62.2 | 67.3 | 58 | 115.3 | ||
| Subsistence fishing | 63 % | 46 % | 79 % | - | ||
| Purchased | 37 % | 54 % | 21 % | - | ||
| Consumption of fresh fish | 92 % | 91 % | 93 % | 95 % | ||
| Fish as % of total protein consumption | Total protein | 28.8 % | [ | |||
| Animal protein | 55.9 % | |||||
| Forecasts of fish required for food (tonnes) | 2010 | 7730 | [ | |||
| 2020 | 9050 | |||||
| 2030 | 10 230 | |||||
| Rural households engaged in fishing activities | 60 % | [ | ||||
| Dependence on fisheries for income : | Sales of fish and agricultural | Urban | 26 % | [ | ||
| crops for cash income: | Rural | 34 % | ||||
| Paid workers in the ‘agriculture | 19.5 % | [ | ||||
| And fisheries’ sector | ||||||
| Official fishing contribution to GDP | 0.8 % | [ | ||||
| Contribution of fish access fees to national revenue | 42 % | [ | ||||
Tonga case study: demographic, nutrition and fish indicators
| Indicator | Result | Ref | ||||
|---|---|---|---|---|---|---|
| Population | All | 103,252 | [ | |||
| <5 years | 14,000 | [ | ||||
| Life expectancy at birth | Male | 65 years | [ | |||
| Female | 69 years | |||||
| Births per year | 2,896 | [ | ||||
| Mortality/1000 | Infant | 7 | [ | |||
| Under 5 | 18 | [ | ||||
| Household expenditure on food | 50.6 % | [ | ||||
| Nutrition | ||||||
| Vitamin A deficiency in pre-school aged children | 17 % | [ | ||||
| Nutritional status among children <5 years: | Stunting | 8.1 % | [ | |||
| Wasting | 5.2 % | |||||
| Underweight | 1.8 % | |||||
| Nutritional status among adults | overweight or obese: | Women | 79.6 % | [ | ||
| aged 15–49 years | Men | 69.9 % | ||||
| Raised blood pressure: | 41 % | [ | ||||
| Raised blood glucose: | 18 % | [ | ||||
| Raised blood cholesterol: | 50 % | [ | ||||
| Energy (kcal) available per capita | -- | |||||
| Diet composition of population: | Carbohydrate | -- | ||||
| Fat | -- | |||||
| Total protein | -- | |||||
| Infant feeding practices: | Children < 5 years are ever breastfed | 91 % | [ | |||
| Infants exclusively breastfeed to 5 months | 52.2 % | |||||
| Households consuming adequate iodised salt: | -- | |||||
| Fish and fisheries | National | Urban | Rural | Coastal | [ | |
| Annual per capita fish consumption (kg) | 20.3 | -- | -- | 84.6 | ||
| Subsistence fishing | 37 % | --- | -- | - | ||
| Purchased | 63 % | -- | -- | - | ||
| Consumption of fresh fish | 80 % | -- | -- | 87 % | ||
| Fish as % of total protein consumption | Total protein | 13.5 % | [ | |||
| Animal protein | 23.4 % | |||||
| Forecasts of fish required for food (tonnes) | 2010 | 3,490 | [ | |||
| 2020 | 3,690 | |||||
| 2030 | 3,900 | |||||
| Households engaged in fishing activities | 33 % | [ | ||||
| Dependence on fisheries for income : | Workforce employed in fishing industry | 3 % | [ | |||
| Official fishing contribution to GDP | 4.1 % | [ | ||||
| Contribution of fish access fees to national revenue | 0.2 % | [ | ||||