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. 2017 Nov 27;21(4):777–784. doi: 10.1017/S1368980017003147

Quantity and species of fish consumed shape breast-milk fatty acid concentrations around Lake Victoria, Kenya

Kathryn J Fiorella 1,2,*, Erin M Milner 3, Elizabeth Bukusi 4, Lia CH Fernald 3
PMCID: PMC10260951  PMID: 29173215

Abstract

Objective

Long-chain PUFA (LCPUFA) found in breast milk are derived from dietary sources and critical for optimal infant development. We examined associations between fish consumption and concentrations of LCPUFA and essential n-3 and n-6 fatty acids in breast milk among mothers living around Lake Victoria.

Design

We used cross-sectional analyses of associations between recent fish consumption and breast-milk fatty acid concentrations.

Setting

The study was conducted around Lake Victoria on Mfangano Island, Kenya, where multiple fish species are key dietary components and also are widely exported.

Subjects

Breast-feeding mothers (n 60) provided breast-milk samples, anthropometric measurements and questionnaire responses.

Results

In the previous 3 d, 97 % of women consumed a mean of 178 (sd 111) g fish (~2 servings/3 d). Mean breast-milk concentrations included DHA (0·75 % of total fatty acids), EPA (0·16 %), α-linolenic acid (ALA; 0·54 %), arachidonic acid (AA; 0·44 %) and linoleic acid (LA; 12·7 %). Breast-milk DHA concentrations exceeded the global average of 0·32 % in fifty-nine of sixty samples. We found native cichlids (Cichlidae) and dagaa (Rastrineobola argentea) contributed high levels of DHA, EPA and AA to local diets. We also found evidence for associations between fish species consumed and breast-milk LCPUFA concentrations when controlling for intake of other fish species, maternal body mass, maternal age, child age and exclusive breast-feeding.

Conclusions

The fatty acid composition of breast milk was influenced by the fish species consumed. Ensuring access to diverse fish and particularly inexpensive, locally available species, may be important for diet quality as well as infant growth and development.

Keywords: Dagaa, DHA, Fish consumption, Lake Victoria, Long-chain PUFA

Sufficient intake of long-chain PUFA (LCPUFA), including n-3 and n-6 fatty acids, is critical for infant growth and development( 1 ). LCPUFA include DHA, EPA and arachidonic acid (AA). The essential n-3 fatty acid linoleic acid (LA) is the parent of the n-6 fatty acid family, including AA, while the essential n-6 fatty acid α-linolenic acid (ALA) is the parent of the n-3 fatty acid family, including DHA and EPA( 2 ). DHA is essential for retinal development and DHA and AA are important components of neural membranes, while EPA and DHA have been associated with cardiovascular health and inflammation( 3 ). LCPUFA thus play important roles in brain and eye development, as well as in the immune, metabolic and automatic nervous systems( 3 ), and may also be important for immunological and cardiovascular health( 1 ). Supplementation and observational studies demonstrate links between LCPUFA and child neural development, attention and cognitive outcomes( 1 , 4 ).

Breast milk is the primary source of infants’ intake of LCPUFA. Yet breast-milk levels of LCPUFA can vary substantially, with up to tenfold variation in DHA across countries resulting from differences in dietary intake( 5 ). This substantial variation underscores the importance of access to high-quality foods rich in essential LCPUFA for pregnant and breast-feeding women.

Fish, and particularly fatty fish, are good sources of DHA and EPA. Maternal fish consumption is associated with higher concentrations of LCPUFA in breast milk( 6 – 8 ). Research has also shown a relationship between fish intake and breast-milk DHA in locations as diverse as the Philippines( 8 – 10 ), Iran( 11 ) and Sri Lanka( 12 ). Around Lake Malawi, for example, fatty acid content of breast milk exceeded global averages and infant plasma fatty acid levels were also high( 13 ). In Western populations, maternal fish intake has been linked to concentrations of breast-milk LCPUFA and children’s outcomes. Maternal fish consumption during pregnancy has been associated with higher child intelligence quotient at age 18 months( 14 ); maternal fish consumption during breast-feeding was also associated with higher child development scores at age 18 months( 15 ).

Despite links between fish intake and breast milk, little is known about the influence of different fish species on breast-milk levels of LCPUFA. While the fatty acid composition of breast milk is partially a result of long-term fat stores, variation can be substantial in response to fish consumption during the previous day( 6 ). Moreover, coldwater marine fish species have been documented as important to the LCPUFA supply( 16 ), but the relative value of tropical freshwater species has been less examined.

In many regions worldwide, fish are the primary source of income, high-quality food and LCPUFA( 17 , 18 ). However, even in areas where fishing livelihoods predominate, access to fish is complicated by dynamics involving gender, pricing and export patterns( 18 , 19 ). Consequently, fish access for local consumption may be restricted to specific fish species and often those that are lower in value. In low-income countries, women and infants may have less access to such high-quality foods and dietary LCPUFA may be limited( 20 ). Because of their international market value, nutritional content of export species is more often assessed, while the nutritional composition of non-market, native species that local people often rely on is mostly unknown.

In the present study, we assessed the association between recent consumption of the four most commonly consumed fish species (two native and two non-native) and the fatty acid profile of breast-feeding women in a cross-section of women living around Lake Victoria, Kenya. We also analysed the fatty acid composition of the two native fish species that contributed substantially to local diets and made comparisons with previous analyses of nutrient composition of non-native species.

Methods

Sample population

Sixty mothers and sixty-one infants (including one set of twins) were drawn from participants in a longitudinal cohort study of 303 households on Mfangano Island, Kenya. All enrolled women currently breast-feeding the participant child (n 11) or a younger sibling (n 49) were invited to join the sub-study. The cohort is comprised of randomly sampled households with a child <2 years of age and were enrolled from December 2012 to March 2013 (full methods have been described previously)( 21 ).

Breast-milk and interview data collection and analysis

In August 2014, we collected information on socio-economic demographics, household food security using the Household Food Insecurity Access Scale (HFIAS)( 22 ) and fish consumption (previous 3 d) with questionnaires administered to the breast-feeding mother in Dholuo, the local language. Maternal and infant weight and length/height were also measured (Seca 803 electronic scale, Seca 213 mobile stadiometer and Seca 417 infantometer).

Fish intake was quantified using a piloted questionnaire that quantified all fish consumption in the preceding 3 d. Pilot results showed that capturing household fish consumption required an extended recall period beyond that of a standard 24 h recall, as fish consumption was not adequately captured in the shorter time frame( 23 ). Quantity of fish consumed was recalled by participants with the aid of household measures (e.g. locally used spoons, bowls)( 24 , 25 ). The quantity of fish within a spoonful, bowl, etc. was then repeatedly measured and averaged to standardize quantities consumed. Extensive ethnographic observation on Mfangano demonstrated that dagaa and cichilds are consumed whole, so plate waste was not a concern; for Nile perch and tilapia, flesh, head and small bones are consumed, so plate waste was assumed to be negligible. Dagaa and cichlids are typically consumed dried, whereas tilapia and Nile perch are typically consumed fresh or fried for preservation and later boiled. To provide comparable measures of fish consumption, Nile perch and tilapia consumption was adjusted to remove moisture content using previously recorded moisture content values( 26 – 29 ).

Breast-milk spots were collected and dried on cards treated with OxyStop® antioxidants to ensure stability. Although fat content varies across fore and hind milk, fatty acid composition is relatively consistent( 30 ) and we collected foremilk in all samples and standardized to time of day, where participant schedules allowed. Eighty per cent of samples were collected from 12.00 to 17.00 hours, and 20 % from 09.30 to 12.00 hours. Samples were shipped from Kenya to the USA for analysis of breast-milk spots by OmegaQuant Analytics in Sioux Falls, SD (full procedures are described elsewhere( 31 )). An aliquot of fatty acid methyl esters was analysed with GC.

Fish sample data collection and analysis

Lake Victoria has two key commercial species: Nile perch (Lates niloticus) and dagaa (Rastrineobola argentea). Nile perch, an international export, was introduced by the British in the 1960s( 32 ) and drove more than 300 native cichlid species (Cichlidae) to extinction( 33 ). Local cichlid populations have rebounded slowly as a consequence of fishing pressure on Nile perch( 34 ). Similarly, as Nile perch catch declines, the small, sardine-like dagaa has grown in production and now represents the largest share of fish biomass caught in Lake Victoria. Introduced tilapia (Oreochromis niloticus) are also present in limited numbers due to high fishing pressure.

Samples of dagaa and mixed cichlid species (500 g) were harvested off Mfangano Island and sun-dried in accordance with local practices for approximately 8 h. Dried fish were kept at ambient temperature for 2 weeks during shipping. For each fish, multiple individuals (approximately twenty to thirty) were added and emulsified, then analysed by GLC using AOCS method Ce1b-89 (Covance Laboratories, Madison, WI, USA). Haplochromine cichlid species were analysed together because: (i) they are genetically similar, stemming from their adaptive radiation within Lake Victoria( 33 ), and occupy a similar position in the food web, meaning fatty acid content is similar across them; and (ii) they are harvested as juveniles and difficult to distinguish by species, meaning consumption of cichlids by households is not species-specific.

Statistical methods

We calculated descriptive statistics for all women and their child(ren) using the statistical software package STATA version 12. Lowess plots and bivariate regression were used to compare fatty acid concentrations in breast milk and fish consumption. We used multivariate regression to analyse associations between maternal consumption of specific fish species and breast-milk DHA, EPA, ALA, AA and LA while controlling for consumption of other fish and maternal BMI, maternal age, breast-feeding child’s age and exclusive breast-feeding status. While food insecurity is high in these communities, we did not elect to include it in our models because our previous work suggested that food insecurity and fish consumption (with fatty acid consumption defined here as a function of fish consumption) are highly intertwined, such that food insecurity is a function of fish consumption( 19 ). To address potential concerns about the role of socio-economic status in consumption of DHA, EPA, ALA, AA and LA, however, we provide models including food security in the online supplementary material, Supplemental Table 1. We identified DHA, EPA, ALA, AA and LA and maternal/child characteristics a priori.

Results

Women in our sample had a mean age of 27·3 (sd 5·6) years and a mean BMI of 22·8 (sd 3·2) kg/m2; 47 % (28/60) had some primary education and 35 % (21/60) had completed primary school. Women were breast-feeding children with a mean age of 11·7 (sd 7·4) months; 18 % (n 11) of children were breast-feeding exclusively. Thirty-one per cent (n 19) of children were stunted (8 % with length-for-age/height-for-age Z-score<−3; 23 % with length-for-age/height-for-age Z-score<−2), while 10 % of children were wasted (n 6; weight-for-height Z-score<−2). In the previous 3 d, 97 % (58/60) of women consumed fish, with a mean consumption of 178 (sd 111) g. Of the women consuming fish, 82 % of women consumed Nile perch and 77 % consumed dagaa in the previous 3 d. Cichlids and tilapia were consumed by 13% and 15 % of women, respectively. The mean food insecurity score was 8·5 (sd 4·7; range 0–22), with 98 % of households categorized as food insecure at some level, including severely (33 %), moderately (55 %) and mildly (10 %) food insecure (see online supplementary material, Supplemental Table 2).

Mean breast-milk DHA content was 0·75 % of total fatty acids, compared with a global average of 0·32 %, determined from a multi-country meta-analysis( 5 ) (Table 1). Mean breast milk AA content was 0·44 % compared with a global average of 0·47 %( 5 ). Further, dagaa contained 13·2%, 6·1%, 3·9%, 3·1% and 2·7 % of total fatty acids as DHA, EPA, ALA, AA and LA, respectively. Cichlid species contained smaller amounts of beneficial fatty acids (Table 1).

Table 1.

Fatty acid composition of fish predominantly consumed by the study population (percentage of total fatty acids) and mean breast-milk fatty acid composition (percentage of total fatty acids) among breast-feeding mothers (n 60) around Lake Victoria, Kenya, August 2014

Fish species Breast milk
Fatty acid Dagaa Cichlids Nile perch† Tilapia† Mean 25th–75th percentile Global average‡
Polyunsaturated 32·6 14·1 35·9 38·9
18:2n-6 (LA) 2·7 6·9 – – 12·71 10·88–14·03
18:3n-6 0·3 0·1 1·2 1·3 0·084 0·054–0·10
20:3n-6 0·4 0·2 – – 0·36 0·26–0·45
20:4n-6 (AA) 3·9 0·9 5·3 3·5 0·44 0·36–0·49 0·47
22:4n-6 – – – – 0·091 0·07–0·10
18:3n-3 (ALA) 3·1 0·7 1·9 2·3 0·54 0·41–0·65
20:5n-3 (EPA) 6·1 0·8 4·5 3·7 0·16 0·11–0·21
22:5n-3 (DPA) 2·3 1·3 2 1·3 0·28 0·20–0·33
22:6n-3 (DHA) 13·2 3·2 15·9 13·7 0·75 0·54–0·89 0·32
Monounsaturated 23·9 30·7 26·5 18·7
16:1n-7 10·2 2·9 5·6 2·1 1·88 1·26–2·37
18:1 – – – – 30·42 27·96–33·76
20:1 0·3 0·2 – – 0·25 0·21–0·28
24:1 – – – – 0·072 0·047–0·081
Saturated 41·7 54·1 33·1 39·6
10:0 – – – – 0·67 0·44–0·85
12:0 – – – – 5·82 4·36–7·33
14:0 3·7 1·4 1·4 0·8 11·07 7·63–13·16
15:0 0·7 0·3 0·8 1·2
16:0 25·8 45·5 20·4 25·6 29·02 26·59–30·85
17:0 2·0 0·5 0·6 0·9
18:0 9·1 6 9·9 11·1 4·16 3·75–4·50
20:0 0·3 0·4 – – 0·17 0·14–0·19
22:0 – – – – 0·088 0·066–0·10
24:0 0·5 0·2 – – 0·10 0·065–0·12
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LA, linoleic acid; AA, arachidonic acid; ALA, α-linolenic acid; DPA, docosapentaenoic acid.

†

Data from Masa et al. ( 38 ).

‡

Data from Brenna et al. ( 5 ).

Linear plots described breast-milk fatty acid concentrations and total fish consumption, as depicted in Fig. 1, although associations were not significant in bivariate regression models. However, multivariate regression models controlling for consumption of other fish and maternal and child covariates provided evidence that the species of fish consumed influenced breast-milk fatty acid concentrations (Table 2). Cichlid consumption was significantly associated with breast-milk LA, AA and ALA concentrations while controlling for maternal and child characteristics. Dagaa consumption was associated with breast-milk EPA concentrations, and tilapia with breast-milk ALA while controlling for maternal and child characteristics. Furthermore, results pooling small, native species (dagaa, cichlids) and large, non-native species (tilapia, Nile perch) showed similar patterns and are provided in the online supplementary material, Supplemental Table 3.

Fig. 1.

Fig. 1

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Linear regression plots depicting the association between total fish consumption over the previous 3 d and breast-milk long-chain PUFA (LCPUFA) concentrations among breast-feeding mothers (n 60) around Lake Victoria, Kenya, August 2014: (a) DHA, (b) EPA, (c) α-linolenic acid (ALA), (d) linoleic acid (LA) and (e) arachidonic acid (AA); 95 % CI are shaded. Results of multiple bivariate regression models of total fish consumption over the previous 3 d, normalized to three 85 g servings (predictor variable), and breast-milk levels of each LCPUFA (outcome variables) are: (a) coefficient=0·074 (95 % CI −0·11, 0·25), P=0·41; (b) coefficient=0·014 (95 % CI −0·029, 0·057), P=0·52; (c) coefficient=0·00 (95 % CI −0·12, 0·12), P=0·99; (d) coefficient=0·024 (95 % CI −0·048, 0·096), P=0·51; (e) coefficient=1·4 (95 % CI −0·11, 2·9), P=0·069

Table 2.

Associations between fish consumption (85 g of indicated fish species) and breast-milk levels of long-chain PUFA, while controlling for maternal and child characteristics, among breast-feeding mothers (n 60) around Lake Victoria, Kenya, August 2014

Fish consumption Maternal/child characteristics Full models
Outcome Predictor Coef. se 95 % CI Coef. se 95 % CI Coef. se 95 % CI
DHA Cichlids 0·0033 0·0042 −0·0052, 0·0118 0·0042 0·0042 −0·0042, 0·0125
Dagaa 0·0022 0·0019 −0·0016, 0·0060 0·0021 0·0019 −0·0016, 0·0059
Tilapia 0·0002 0·0036 −0·0071, 0·0074 −0·0007 0·0036 −0·0079, 0·0065
Nile perch 0·0008 0·0015 −0·0022, 0·0037 0·0011 0·0015 −0·0018, 0·0041
BMI 0·0000 0·0001 −0·0002, 0·0002 0·0000 0·0001 −0·0003, 0·0002
Excluding EBF −0·0026** 0·0011 −0·0049, −0·0003 −0·0028** 0·0012 −0·0052, −0·0005
Mother’s age 0·0000 0·0001 −0·0002, 0·0001 0·0000 0·0001 −0·0002, 0·0001
Child’s age 0·0001 0·0001 −0·0001, 0·0002 0·0001 0·0001 −0·0000, 0·0002
EPA Cichlids 0·0010 0·0010 −0·0010, 0·0030 0·0012 0·0010 −0·0008, 0·0032
Dagaa 0·0008* 0·0004 −0·0001, 0·0017 0·0008* 0·0004 −0·0001, 0·0017
Tilapia −0·0003 0·0008 −0·0020, 0·0014 −0·0005 0·0008 −0·0022, 0·0012
Nile perch 0·0001 0·0003 −0·0006, 0·0008 0·0002 0·0004 −0·0005, 0·0009
BMI 0·0000 0·0000 −0·0001, 0·0000 0·0000 0·0000 −0·0001, 0·0000
Excluding EBF −0·0005 0·0003 −0·0010, 0·0001, −0·0005* 0·0003 −0·0011, 0·0000
Mother’s age 0·0000 0·0000 0·0000, 0·0000 0·0000 0·0000 0·0000, 0·0000
Child’s age 0·0000 0·0000 0·0000, 0·0000 0·0000 0·0000 0·0000, 0·0001
ALA Cichlids 0·0056** 0·0027 0·0001, 0·0111 0·0061** 0·0026 0·0010, 0·0113
Dagaa −0·0014 0·0012 −0·0038, 0·0011 −0·0006 0·0012 −0·0029, 0·0017
Tilapia 0·0043* 0·0023 −0·0003, 0·0090 0·0042* 0·0022 −0·0002, 0·0086
Nile perch −0·0004 0·0009 −0·0022, 0·0015 0·0003 0·0009 −0·0015, 0·0021
BMI −0·0001* 0·0001 −0·0003, 0·0000 −0·0002** 0·0001 −0·0003, 0·0000
Excluding EBF −0·0003 0·0007 −0·0018, 0·0012 −0·0004 0·0007 −0·0018, 0·0010
Mother’s age 0·0001* 0·0000 0·0000, 0·0002 0·0001** 0·0000 0·0000, 0·0002
Child’s age 0·0001** 0·0000 0·0000, 0·0002 0·0001 0·0000 0·0000, 0·0002
AA Cichlids 0·0029* 0·0017 −0·0004, 0·0063 0·0032* 0·0017 −0·0002, 0·0066
Dagaa −0·0004 0·0007 −0·0019, 0·0011 −0·0004 0·0008 −0·0019, 0·0012
Tilapia −0·0004 0·0014 −0·0033, 0·0024 −0·0007 0·0015 −0·0036, 0·0023
Nile perch 0·0003 0·0006 −0·0008, 0·0015 0·0005 0·0006 −0·0007, 0·0017
BMI 0·0000 0·0001 −0·0001, 0·0001 0·0000 0·0001 −0·0001, 0·0001
Excluding EBF −0·0005 0·0005 −0·0015, 0·0004 −0·0007 0·0005 −0·0016, 0·0003
Mother’s age 0·0000 0·0000 −0·0001, 0·0001 0·0000 0·0000 −0·0001, 0·0001
Child’s age 0·0000 0·0000 0·0000, 0·0001 0·0000 0·0000 0·0000, 0·0001
LA Cichlids 0·0940*** 0·0344 0·0251, 0·1630 0·0940** 0·0359 0·0220, 0·1661
Dagaa 0·0021 0·0152 −0·0286, 0·0327 0·0017 0·0162 −0·0308, 0·0342
Tilapia 0·0386 0·0295 −0·0204, 0·0976 0·0391 0·0309 −0·0230, 0·1011
Nile perch 0·0166 0·0119 −0·0073, 0·0405 0·0169 0·0128 −0·0087, 0·0425
BMI 0·0004 0·0011 −0·0018, 0·0027 −0·0002 0·0011 −0·0024, 0·0020
Excluding EBF 0·0039 0·0103 −0·0168, 0·0246 0·0012 0·0099 −0·0187, 0·0211
Mother’s age −0·0001 0·0007 −0·0014, 0·0012 −0·0001 0·0006 −0·0014, 0·0011
Child’s age −0·0002 0·0005 −0·0013, 0·0009 0·0000 0·0005 −0·0011, 0·0011
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Coef., coefficient; ALA, α-linolenic acid; AA, arachidonic acid; LA, linoleic acid; EBF, exclusive breast-feeding.

The P<0·01 level of significance corrects for multiple comparisons.

*P<0·1, **P<0·05, ***P<0·01.

Discussion

We found high levels of beneficial breast-milk LCPUFA and essential n-3 and n-6 fatty acids among women living around Lake Victoria, Kenya. Women in the sample consumed approximately 2 servings of fish in the previous 3 d, on average. Breast-milk DHA levels well exceeded global and regional averages( 5 , 35 ), with fifty-nine of sixty samples having DHA concentration above the 0·32 % global average. High DHA levels were comparable to levels in lakeside regions of Malawi( 13 ). EPA levels were also strikingly high, while LA and ALA levels were lower than global averages but comparable regionally( 35 ). AA levels were lower than expected given the quantities of fish consumed, although similar to global averages( 5 , 35 ).

Despite the high aggregate consumption of fish in this population, the relative composition of diets from different fish species uniquely contributed to the fatty acid profile of women’s breast milk. We observed a positive association between high consumption of dagaa and EPA concentrations. Further, high cichlid consumption was positively associated with LA, AA and ALA concentrations, and high tilapia consumption was positively associated with ALA consumption. These findings suggest differences in the composition of fish in diets. Even within a region consuming high quantities of fish, the fish species consumed may have bearing on the fatty acid composition of breast milk. The unexpected lack of an association between fish intake and breast-milk DHA concentrations, as well as between total fish intake and breast-milk fatty acid concentrations, could be due to the relatively high levels of fish consumption and high levels of breast-milk LCPUFA across our sample, which could have masked this relationship. Noise around dietary intake estimates, a small sample size, or factors around DHA metabolism and the timing of sample collection may also have been contributing factors.

Local populations are often relegated to consumption of specific fish species, typically to those with low economic value( 28 ). Yet ensuring continued access to nutritionally rich and diverse fish species is likely to be particularly important for maternal and child nutrition. Analysis of native fish species (cichlids and dagaa) directly addresses the natural resources that underpin access to high-quality diets and shape fatty acid concentrations. Dagaa and cichlids provide a good source of DHA, EPA and AA. An 85 g serving of dagaa contains 847 mg DHA, 390 mg EPA and 295 mg AA, and of cichlids contains 536 mg DHA, 129 mg EPA and 153 mg AA. A single serving of dagaa exceeds the recommended intake of 300 mg DHA+EPA daily and is comparable to usipe, a similar species native to Lake Malawi( 13 ). Analysis of nutrient composition of important fish species in Bangladesh further underscores the nutritional value of small indigenous fish species( 36 ).

Our data provide evidence of the nutritional and health importance of tropical freshwater fish in general, and particularly of the native fish species in Lake Victoria. While such species have been underappreciated within a fisheries discourse focused on regional economic potential, these fish remain critical to local diets. Dagaa is presently accessible, affordable and a mainstay in diets, while cichlid catches remain limited as a consequence of the Nile perch introduction. Although dagaa is currently less threatened by overfishing than the larger Nile perch, ensuring the availability of dagaa for local consumption requires continued attention to fisheries governance and careful planning for any expansion of aquaculture, which will likely rely on these low-value fish for fishmeal and focus on tilapia production. The nutritional importance of local species for mothers and their children suggests that fishery management ought to consider not only the economic benefits of exported species like Nile perch, but also the nutritional contributions of all fish populations. Further, despite documentation of the highest LCPUFA levels in coldwater marine fish species, our results demonstrate the importance of tropical freshwater fish resources for the LCPUFA supply.

Our cross-sectional study design prevents causal interpretations. Although our sample size is small and post hoc power calculations are limited( 37 ), such calculations suggest our sample was sufficient to assess effects of fish consumed on fatty acid concentrations. Our analysis of fish intake was limited by the estimation of quantitative intake from recall data, which is subject to recall bias, social desirability bias and trends in over/underestimation. Further, the extrapolation of fish consumption to fatty acid consumption relies on estimation, fatty acid composition analyses replication was limited, and we did not include other potential dietary sources of LCPUFA. We cannot draw conclusions about outcomes for infants as we did not measure children’s fatty acid levels. Finally, we compared our results with previously published information and differences may reflect both biological and analytical differences.

Conclusions

Kenyan women living on the shores of Lake Victoria consumed high quantities of fish and had high levels of breast-milk LCPUFA, particularly DHA and AA. The relative fatty acid composition of these women’s breast milk was shaped by the specific fish species they consumed. Safeguarding access to relatively available and affordable local fish, particularly dagaa and haplochromine cichlids, may be instrumental in shaping breast-milk LCPUFA concentrations and should remain a priority in public health and fisheries management strategies.

Acknowledgements

Acknowledgements: The authors appreciate the support for this research from Organic Health Response and the Mfangano Community. They gratefully acknowledge the research staff who contributed to this study, especially Jackline Luware, Mary Janet Achieng, Vallary Migawi, Beatrice Awuor, Maureen Okeyo and Janet Awino. They also thank Charles Salmen, Matthew Hickey, and two anonymous reviewers for feedback on earlier versions of this manuscript. Financial support: This work was supported by a National Science Foundation Doctoral Dissertation Research Improvement grant (K.J.F.) and received partial support from a National Science Foundation Geosciences grant (grant number 115057). The funders had no role in the design, analysis or writing of this article. Conflict of interest: The authors declare no conflicts of interest. Authorship: K.J.F., E.M.M. and L.C.H.F. developed the study. E.B. provided guidance on data collection and ethical considerations. K.J.F. and E.M.M. carried out the data collection. K.J.F. performed the statistical analysis, with input from co-authors. K.J.F. and E.M.M. wrote the manuscript with feedback and detailed review from all co-authors. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the Ethics Committee of the Kenya Medical Research Institute and the Committee for Protection of Human Subjects at the University of California, Berkeley. Written informed consent was obtained from all subjects.

Supplementary material

For supplementary material accompanying this paper visit https://doi.org/10.1017/S1368980017003147.

S1368980017003147sup001.doc (169.5KB, doc)

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