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ORIGINAL RESEARCH article

Front. Nutr., 19 January 2023
Sec. Nutrition and Sustainable Diets
Volume 9 - 2022 | https://doi.org/10.3389/fnut.2022.1082161

Determinants of maternal, infant, and young child nutrition during the 1,000-day window of opportunity in Solomon Islands: A focused ethnographic study

Kelsey Grey1* Stephen R. Kodish2,3 Salome Aroma Namohunu4 Jill Losi4 Maryam Matean1 Uma Palaniappan5 Martina Northrup-Lyons1 Arlin Cherian1 Stanley Gwavuya5 Judy McLean1 Wendy Erasmus5
  • 1Nourish Global Nutrition, Vancouver, BC, Canada
  • 2Chandlee Lab, Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, United States
  • 3Chandlee Lab, Department of Biobehavioral Health, Pennsylvania State University, University Park, PA, United States
  • 4Ministry of Health and Medical Services, Honiara, Solomon Islands
  • 5United Nations Children’s Fund (UNICEF) Pacific, Suva, Fiji

Introduction: This focused ethnographic study used qualitative, ethnographic, and participatory methods to explore determinants of maternal, infant, and young child nutrition (MIYCN) during the first 1,000 days of life as part of efforts to address the double burden of malnutrition in Solomon Islands.

Methods: An iterative study design was used to first explore and then confirm findings related to food and nutrition security and social and behavioral determinants of MIYCN in urban and rural settings. The first phase included in-depth interviews, household observations, free lists, and seasonal food availability calendar workshops while the second phase included focus group discussions, pile sorts, participatory community workshops, and repeated household observations.

Results and discussion: We found that MIYCN is shaped by a complex interaction of factors at the macro- and micro-levels. At the macro-level, globalization of the food system, a shifting economy, and climate change are driving a shift toward a delocalized food system based on imported processed foods. This shift has contributed to a food environment that leaves Solomon Islanders vulnerable to food and nutrition insecurity, which we found to be the primary determinant of MIYCN in this context. At the micro-level, this food environment leads to household- and individual-level food decisions that often do not support adequate MIYCN. Multi-sectoral interventions that address the macro- and micro-level factors shaping this nutrition situation may help to improve MIYCN in Solomon Islands.

1. Introduction

Malnutrition in all its forms, including undernutrition, overweight, and obesity, is the leading cause of ill health and one of the greatest challenges to sustainable development globally (1). Maternal, infant, and young child malnutrition can have intergenerational consequences for health. In the short-term, child undernutrition (i.e., stunting, wasting, micronutrient deficiencies) increases risk of morbidity and mortality, contributing to nearly half of all child deaths worldwide (2). In the long-term, maternal and child undernutrition, particularly in the first 1,000 days of life between conception and 2 years of age, can impair physical growth and cognitive development, thus reducing economic productivity and contributing to intergenerational poverty (3). Maternal malnutrition, including undernutrition and overweight and obesity during pregnancy, also increases long-term risk of non-communicable diseases (NCDs) for the child (4).

Today, the global nutrition situation is characterized by the double burden of malnutrition wherein undernutrition and overweight and obesity coexist within the same individuals, communities, and societies (5). There is a substantial burden of undernutrition among children under 5 years of age (U5), with over 149 million stunted and more than 45 million wasted. Meanwhile, nearly 39 million children U5 are obese and 2.2 billion adults are overweight or obese globally (6). Nearly half of the world’s population experiencing the double burden of malnutrition reside in Southeast Asia and the Pacific region, where the prevalence of overweight and obesity has grown faster than anywhere else in the world (7). This health crisis is driven by nutrition and food systems transitions that have increased access to processed foods high in refined carbohydrates, sugar, fat, and salt combined with reduced levels of physical activity in modern life (5).

One country experiencing the double burden of malnutrition is Solomon Islands, an archipelago of nearly 1,000 islands in the western South Pacific Ocean with an estimated population of 721,000 people in 2019 (8). Solomon Islands ranked 151 out of 189 countries in the 2020 Human Development Index, making it one of the world’s least developed countries (9). Three-quarters of Solomon Islanders live in coastal rural areas and rely on subsistence gardening and fishing for much of their food supply (8). However, the widespread availability of imported processed foods that are shelf-stable, relatively affordable, and convenient to procure and prepare is shifting traditional whole foods-based diets toward less nutritious dietary patterns (10). Maternal and child malnutrition are prevalent in Solomon Islands: 32% of children U5 are stunted, 8% are wasted, and 39% are anemic; among women of reproductive age, 48% are overweight or obese and 54% of pregnant women are anemic (11).

Population-level nutritional status is determined by a combination of immediate, underlying, and enabling factors (12). An important underlying factor is infant and young child feeding (IYCF) practices, which include breastfeeding and complementary feeding. Although approximately 75% of infants are exclusively breastfed until 6 months in Solomon Islands, sub-optimal complementary feeding practices persist. Only 22% of children aged 6–23 months are fed according to IYCF recommendations for meal frequency and diversity and less than half receive iron-rich foods (11). Optimal IYCF practices rely on household food and nutrition security. However, in Solomon Islands, food and nutrition security challenges are widespread. In both rural and urban areas, approximately half of total household consumption expenditure goes toward food, indicating at least a moderate level of food and nutrition insecurity among most households (13, 14).

While previous nutrition surveys have revealed sub-optimal nutrition indicators in Solomon Islands, a deeper understanding of the behavioral factors influencing diets has been much less reported (15, 16). Therefore, this study was designed to: (1) understand food availability and accessibility across seasons, (2) describe the underlying social and behavioral determinants of maternal, infant, and young child nutrition (MIYCN) in the first 1,000 days of life in urban and rural settings, and (3) generate context-specific recommendations to inform appropriate social and behavior change communication strategies for improved MIYCN, health, and survival in Solomon Islands. These objectives were aligned with MIYCN strategies outlined in the Solomon Islands National Food Security, Food Safety, and Nutrition Policy for 2010–2015, the available policy at the time of this study (17).

2. Materials and methods

2.1. Study setting

Data collection took place in both urban and rural communities of Solomon Islands between May and June 2018. The data collection sites were selected with the Solomon Islands Ministry of Health and Medical Services (MHMS) and UNICEF based on criteria to allow for adequate sample sizes across methods and participant types (Figure 1).

FIGURE 1
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Figure 1. Map of Solomon Islands within the Pacific region, highlighting Guadalcanal Province in blue and Honiara in yellow (bottom left) (11).

2.1.1. Urban data collection: Kola’a (Honiara)

Urban data collection occurred in Kola’a, one of 12 wards in central Honiara, the capital city of Solomon Islands located on Guadalcanal, the country’s largest island by geographic area (11). Honiara is densely populated with approximately 5,950 people per square kilometer (8). Nine communities from Kola’a ward were selected for this study. Due to increasing urbanization, many households in Honiara are shifting from agriculture to more service-oriented livelihoods (18). While some households make efforts to grow vegetables in their backyard gardens or raise livestock or fish in small scale, most people in Honiara buy produce and fish at Honiara Central Market (10). People living in Kola’a ward have easy access to imported foods high in carbohydrates and fat given its proximity to city markets and the presence of roadside shops in sub-urban neighborhoods. The consumption of imported foods such as rice and flour-based foods is higher in Honiara compared to more rural parts of Solomon Islands (10, 11).

2.1.2. Rural data collection: Malango (Guadalcanal Province)

Rural data collection took place in Malango ward in central Guadalcanal Province, located approximately 40 km southeast of Honiara. Guadalcanal Province is the largest province of the Solomon Islands by geographic area with an estimated population of 154,150 in 2019. Population density is low at 29 people per square kilometer (8). Thirteen communities from Malango were selected for this study (19). This area lies in the northern coastal plains of the island where optimal rainfall patterns and fertile soil create strong growing conditions. Subsistence gardening provides for most household food intake in this area, and households earn income by selling surplus produce in Honiara’s markets. The consumption of imported foods like rice and flour-based products is high compared to other rural areas of Solomon Islands given its proximity to Honiara (10).

2.2. Study design

This study used an iterative, mixed methods design drawn from Focused Ethnographic Study procedures (20). Data were collected over two phases: Phase 1 was exploratory in nature to identify emergent themes and Phase 2 was confirmatory to corroborate, clarify, and build on findings from Phase 1. Phase 1 data was analyzed before commencing Phase 2 and the findings informed Phase 2 data collection instruments (Table 1).

TABLE 1
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Table 1. Study design with data collection methods by study phase.

2.3. Data collection methods and sampling procedures

Ten locally hired data collectors were selected based on previous experience conducting qualitative nutrition or health-related fieldwork, education level, computer literacy, proficiency in English and Pidgin (the local lingua franca), and previous experience with translation or transcription.

2.3.1. Phase 1: Exploring determinants of MIYCN

In-depth interviews (n = 51) were conducted in Phase 1 among caregivers of children aged 6–23 months (e.g., mothers, fathers, grandparents), community leaders (e.g., elected officials, religious, and traditional leaders), community-level health workers (e.g., nurses, community health volunteers, traditional healers), and senior-level health staff (e.g., district-level or national-level health staff from the MHMS). Participants were asked a series of semi-structured questions covering MIYCN, child health, food security, water, sanitation, and hygiene practices, gender and family roles, and preferred communication channels. Semi-structured interview guides were tailored to each participant type to ensure that questions were appropriate and relevant. Interviews lasted 45–60 min and were conducted in Pidgin, except for those among senior health staff which were conducted in English.

Free lists (n = 89) were conducted with caregivers to elucidate salient young child foods and illnesses specific to the cultural context of Solomon Islands. Free listing is a cognitive anthropology method used to elicit salient items of a cultural domain (i.e., a local body of knowledge pertaining to a specific topic) (20).

Seasonal food availability calendar workshops (n = 2) were conducted to understand the seasonal nature of food availability. Participants included farmers, food vendors, and consumers who were tasked with creating a calendar outlining foods available by season in their community. For each food, participants indicated (1) no availability, (2) low availability, (3) medium availability, or (4) high availability. A final discussion was held to reach consensus over accuracy of the calendar.

Household observations (n = 18) were conducted to gain an understanding of intra-household factors that influence IYCF. Full-day observations (i.e., for 10–12 h from the child’s first meal until last meal) focused on breastfeeding and complementary feeding practices as well as hygiene behaviors. A semi-structured form was used to document behaviors and events at least every 10 min. These observations were repeated among the same households and children in Phase 2 to reduce reactivity to the presence of the data collectors (21).

2.3.2. Phase 2: Confirming and consolidating factors influencing MIYCN

Focus group discussions (n = 8) were conducted among caregivers of children aged 6–23 months to identify social norms around MIYCN and to triangulate interview findings. Focus groups were conducted separately for male and female caregivers.

Participatory community workshops (n = 4) were held with diverse community members who were selected to represent the community. During workshops, participants brainstormed, and voted upon top-ranked barriers to optimal MIYCN in each setting as well as suggested intervention strategies to overcome those barriers. Community workshops have been used successfully to engage communities in identifying priority intervention areas and to develop culturally relevant messaging as part of participatory research (22, 23).

Pile sorts (n = 81) were conducted among caregivers to assess how and to what degree salient young child foods and illnesses identified during free listing were perceived to cluster together, thus revealing local food and illness classification systems (24). Salient free list items (i.e., the top free listed terms scoring ≥ 0.30 (S), which is calculated by both frequency and order of items mentioned) were written on cards for sorting into piles based on question prompts.

2.4. Sampling

The Social Ecological Model (SEM), which acknowledges multi-level factors of behavior, served as a guiding theoretical framework for this study and framed our purposive sampling approach (25) (Table 2).

TABLE 2
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Table 2. Participant types by level of the Social Ecological Model (SEM).

Next, a criterion-based sampling approach was used to identify specific types of participants within each behavioral level. Local health workers with knowledge of the community then assisted with recruitment of eligible participants. Sample sizes for interviews, focus groups, and direct observations were based on the estimated amount of textual data needed to reach “data saturation” in key areas of inquiry (26). Samples sizes for free lists and pile sorts were selected to ensure validity of cultural domain analysis, as recommended by Weller and Romney (27). Community workshop sizes were chosen to allow for comfortable facilitation of participatory methods and based on previous research using this method (22, 28) (Table 3).

TABLE 3
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Table 3. Sample sizes by data collection method, participant type, and study site.

2.5. Data analysis

2.5.1. Textual data analysis: Interviews, focus groups, direct observations

Interviews and focus group discussions were conducted in Pidgin and recorded using digital audio recorders. Locally hired team members then simultaneously transcribed and translated the audio files into English. Themes pertinent to the study objectives were identified across transcripts in line with Grounded Theory (29, 30). These themes were then synthesized in an analytic codebook that reflected both the interview guide content and any newly identified themes. The codebook was used to guide systematic identification and labeling of relevant themes across transcripts using NVivo 12 software (31). The coded text was stratified by participant type and method and extracted in relation to each research question. The results were confirmed through triangulation with findings from other study methods.

2.5.2. Cultural domain analysis: Free lists and pile sorts

Free list items for each participant were analyzed using Anthropac 4.98 software (32). A salience statistic was calculated for each item based on its rank order (24, 27). Young child foods and illnesses identified as salient were interpreted in relation to interview findings for a more complete ethnographic perspective. Free list items were chosen for inclusion in the pile sort activity if they had a salience greater than 0.30 or were deemed relevant to addressing the study aims; for example, breastmilk was not identified as a salient “young child food” in free lists but was included in pile sorts due to its nutritional importance. Pile sort data were then entered into Anthropac 4.98, which calculated aggregate proximities and generated item-by-item matrices for items with cells indicating the proportion of times two items appeared in the same pile across participants. Multi-dimensional scaling was used to analyze those aggregate proximity matrices (27). The goodness-of-fit, or stress, was also calculated for each matrix and is indicative of the strain remaining when the items in a cultural domain have been fitted into two dimensions. Stress values range from 0 (worst fit) to 1 (best fit). Two-dimensional visual maps were generated, and classifications were labeled based on field notes.

2.5.3. Workshop analysis: Seasonal food availability and community workshops

Seasonal food availability workshop data were entered into a customized template. Symbols used to represent the relative availability of foods across seasons were translated into numerical values following standardized analytic procedures used elsewhere (33, 34). The food items listed by workshop participants were grouped according to local food classification systems derived from pile sort results (e.g., “body-building,” “protective,” and “energy” foods) to create a color-coded calendar depicting seasonal food availability across the year. The numerical data from other participatory community workshops were analyzed using simple arithmetic to tally and rank the top-voted barriers and intervention strategies.

2.6. Ethical considerations

Ethical approval was obtained from the ethics committee of the Solomon Islands MHMS. The procedures used in this study adhere to the tenets of the Declaration of Helsinki. Participants’ oral informed consent was obtained by the data collectors prior to any data collection.

3. Results

3.1. Determinants of food availability and food accessibility

Household food insecurity challenges underlie the nutrition situation in Solomon Islands. Downstream, individual-level dietary decisions in Solomon Islands are determined by upstream factors related to food availability and accessibility throughout the year.

3.1.1. Food availability

In Kola’a (urban site), a variety of food groups are available across seasons (Table 4). However, urban households produce only a small proportion of their own food for consumption and rely on cash income to purchase foods available in markets. Locally produced fresh foods are primarily sold in a limited number of markets along the main road in Honiara. Fresh food items can also be found in small roadside shops outside of the main road but are sold at a substantial mark-up and can be difficult to access.

TABLE 4
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Table 4. Seasonal food availability calendar for Kola’a (urban site).

“Most of the time we eat processed food rather than local foodbecause we don’t have a garden here and most of the time we don’t go to the market because it’s far from us.”

– Female caregiver interview, Kola’a (urban)

A wide variety of foods was also found to be available across seasons in Malango (rural site) (Table 5).

TABLE 5
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Table 5. Seasonal food availability calendar for Malango (rural site).

Compared to urban households, more rural households engage in home gardening, conserving root crops, and cabbage for consumption while selling fruits and vegetables in urban markets. Participants explained that income made from selling produce is typically used to purchase processed foods such as rice and canned tuna.

“For those of us working in the garden, we plant slippery cabbage and then we harvest it to sell at the marketFor me, when I sell food at the market, I usually get $100 or even $200 [Solomon] dollars in a day. We do not eat the food that we plant; we sell it at the market and when we return home we buy rice, bread, sugar,…and the money goes again.”

– Seasonal food availability workshop, Malango (rural)

Factors that influence this decision include: (1) the greater value for money provided by processed foods, (2) the relative convenience of procuring, storing, and preparing processed foods, (3) a taste preference for processed foods, and (4) the safety net that shelf stable foods provide if garden crops fail.

Observations found that fresh fish and meat are not sold in the small dry goods shops that are found throughout rural communities. Although some rural households raise chickens or pigs, these animals are usually sold for income and only eaten during special occasions such as weddings.

In both study sites, participants explained that increasing homestead food production has been hampered by agricultural challenges including climatic events (e.g., drought, flooding, cyclones), land shortages, especially in urban areas, and crop damage caused by Giant African Snails, a recently introduced invasive species.

3.1.2. Food accessibility

Although nutritious local foods are available throughout the year in Kola’a (urban) markets, high food costs and large family sizes relative to household incomes limit local food access, contributing to a reliance on processed food imports.

“For those living in the urban area, local foods are very expensive at the market and then we have the problem of the middle-men or middle sellers. The re-sellers buy [food] at cheap prices and re-sell it at a higher price so that makes it more difficult for urban people to get those healthy foods, like local foods, for their family.”

– Senior national health staff, Ministry of Health and Medical Services

Fruits and vegetables are comparatively more accessible in Malango (rural) where home gardening is practiced. However, limited access to animal-source foods remains a challenge for most households. Opportunities to access fresh fish are limited in the inland rural area due to its distance from the coast and access to canned tuna in local shops is limited by low household incomes.

“There are so many things we want to eat, especially for those of us living in the bush far from the seafish is one of the foods that we really love to eat but we can’t afford it because it’s too expensive – not canned tuna, but the kind that they sell in Eskys [large coolers] that you can buy by the pound. We go to town [Honiara] to buy fish but most of the time it is too expensive.”

– Male caregiver, Malango (rural)

The unaffordability of animal-source foods emerged as a key finding stemming from multiple methods including pile sorting (Figures 2, 3).

FIGURE 2
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Figure 2. Multi-dimensional scaling map depicting affordability of child foods in Kola’a (urban site); Stress: 0.093; Eigen value: 8.427; Eigen ratio: 3.243.

FIGURE 3
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Figure 3. Multi-dimensional scaling map depicting affordability of child foods in Malango (rural site); Stress: 0.042; Eigen value: 13.264; Eigen ratio: 3.025.

3.1.3. Typical family meals

In Kola’a (urban), observations revealed typical meals consisting of rice, canned tuna, and noodles for all household members older than 12 months of age. Common breakfast foods include bread or biscuits (i.e., cookies) eaten with tea (refers to different combinations of hot water with lemon leaf, black tea, instant coffee, malt drink mix, sugar, and milk). In Malango (rural), typical meals consist of rice, potato, or cassava eaten with a soup of dark leafy greens (e.g., taro leaf, ferns) boiled in coconut milk. Rice may be eaten alone or with soup for breakfast along with tea. During mealtimes, it is a social norm for male heads of household and visitors (e.g., extended family) to be served foods before mothers and children in both Kola’a and Malango.

3.2. Factors influencing MIYCN in the first 1,000 days of life

3.2.1. Maternal diets during pregnancy and lactation

In both Kola’a and Malango, pregnant women eat typical family foods despite awareness that local foods (e.g., cabbage, fruits, potato, fish) may provide a more nutritious diet than processed foods. Health workers explained that although they encourage pregnant and lactating women to consume more local foods and avoid salty, oily, and sugary foods, maternal diets are primarily governed by the household’s level of food access. Women also described receiving dietary advice from husbands and elders who encourage consumption of local foods, “to increase or strengthen the blood” (i.e., prevent anemia) in preparation for childbirth.

“The very important thing about eating fruits and vegetables is that when they [mothers] reach the time for delivery, bleeding will be high during that time, and it will be a risk for them. So, fruits and vegetables will prepare them so that their blood becomes strong, so that they can produce more bloodso when they lose blood there’s enough to survive during delivery.”

– Male caregiver focus group, Kola’a (urban)

Interviews revealed food rules specific to these life stages that influence dietary choices among mothers. During pregnancy and lactation, large deep-sea fish (e.g., tuna, barracuda) are proscribed (taboos) as they are said to cause “fish sick” in the unborn or breastfeeding infant due to their high sodium content. “Fish sick” was described as a mouth rash resembling oral thrush and most often ascribed to “bonito” consumption (tuna caught by offshore trawlers and stored in sea water).

“We have heard that breastfeeding women should not eat too much fish from the deep sea like bonito [tuna] because it can cause sores in the baby’s mouth.”

– Female caregiver focus group, Malango (rural)

Food prescriptions (remedies) during lactation were also identified. Mothers are encouraged to increase fluid intake and to consume coconut milk soups made with cabbage, fish, and potato to increase breastmilk production. Gheke, a locally available cabbage with yellow leaves, is said to increase breastmilk production, while “dry foods,” such as rice and roasted potatoes, are said to limit production.

3.2.2. Breastfeeding

Overall, participants described positive breastfeeding practices in line with global recommendations. The initiation of breastfeeding within an hour of birth is common in urban and rural areas as reported by both mothers and health workers. Exclusive breastfeeding until 6 months was reported to be more widely practiced than in the past when foods and liquids were more commonly introduced early due to traditional perceptions that doing so accelerated infant growth.

“The belief for those in the past is that they do not wait for the baby to reach 6 months of age to feed a baby with liquids or solid foods. They fed their baby usually at 2 or 3 monthsor even 2 weeks, they gave water or juice.but nowadays, the nurses or doctors advise us to feed our child at 6 months.”

– Female caregiver focus group, Malango (rural)

However, two important barriers to exclusive breastfeeding remain. First, working mothers, primarily in Kola’a, explained that exclusive breastfeeding is disrupted during work hours when their infants are under the care of alternative caregivers. Second, perceptions of inadequate breastmilk supply were reported in both Kola’a and Malango.

While most mothers reported continuing breastfeeding beyond 6 months of age, they described discontinuing the practice upon becoming pregnant due to the perception that breastfeeding during pregnancy causes diarrhea in the breastfeeding child and that breastmilk quality is reduced.

3.2.3. Complementary feeding

Caregivers reported introducing some fruit juices and watery foods (e.g., pawpaw juice, pumpkin softened with water) when infants reach 6 months of age. Typically, caregivers delay the introduction of semi-solid foods until 8–10 months of age due to the perception that younger infants are not developmentally ready to digest these foods.

“Still, the mothers, even though they say they start complementary feeding at 6 months, they still start using the pawpaw juices because they say that the child’s stomach or the digestive system is not ready to accept the food yet…”

– National health staff, Ministry of Health and Medical Services

Infants aged 6–11 months are typically fed specially prepared meals of watery, mashed foods (e.g., pawpaw, potatoes, pumpkin) or juices (e.g., pawpaw juice) three times daily, with snacks between meals (e.g., bananas, biscuits softened with tea) in addition to continued breastfeeding.

“For me, in the morning I boil a pawpaw fruit. After it is boiled or cooked, I mash it and give the pawpaw juice to my child. In the afternoons, I do not boil the pawpaw but just mash it and give its juice to the baby. In the evening, I also cook or boil pawpaw and then mash it and give the juice to the baby.”

– Female caregiver interview, Kola’a (urban)

Dietary diversity remains a relatively greater challenge for infants aged 6–11 months than for children 12–23 months, given the normative practice of introducing foods at 8–10 months. Consumption of “deep-sea fish” is culturally proscribed for infants, just as it is for pregnant and lactating mothers.

At 12–23 months, young children begin sharing family foods and breastfeed less frequently. Meal observations found young children to frequently consume sugar-sweetened beverages (e.g., tea) and imported processed food (e.g., candy, biscuits) in both study sites. Caregivers generally reported adequate knowledge of nutritious versus non-nutritious foods, but low household income relative to food costs and greater availability of processed foods underlie feeding decisions.

“In Solomon Islands, children eat carbohydrates as their normal diet. Some children have access to fruits while some do not at all because the cost of living is too expensive. Only rice is cheap ($10.00 per kg) and can feed the whole family, while buying a $10.00 heap [fruits and vegetables are sold in small heaps] at the market can only fed two or three family membersmost children don’t have access to a balanced diet.”

– Nurse interview, Kola’a (urban)

During participatory workshops, community members brainstormed and voted upon the top challenges to and solutions for improving infant and young child nutrition (Tables 6, 7). Limited community awareness of the importance of optimal child nutrition and a preference for processed foods emerged as the top challenges in Kola’a and Malango, respectively.

TABLE 6
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Table 6. Challenges and solutions for improving infant and child nutrition in Kola’a (urban).

TABLE 7
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Table 7. Challenges and solutions for improving infant and child nutrition in Malango (rural).

4. Discussion

Like many Pacific Island Countries, Solomon Islands is facing multiple threats to food and nutrition security that are contributing to a growing burden of multiple forms of malnutrition (7, 35). Our results provide insight into the nutrition situation of urban and rural island settings where local diets are shaped by both micro- and macro-processes.

Although Solomon Islands has diverse foods available across seasons, the modern-day food environment is characterized by locally produced fresh foods that are more difficult to access than most imported processed foods. At a macro-level, globalization and related economic policies have helped to shape this delocalized food system where energy-dense, non-nutritious dietary patterns are now prominent (15, 16). We found that most families prefer imported foods because they are more affordable, convenient, and palatable despite awareness that they are less nutritious. In rural Malaita and Western provinces of the country, where Albert et al. found that just 6% of women consumed a minimum number of food groups each day, study participants acknowledged that typical diets reliant on imports such as rice, noodles, and processed meats were the main community health problem (15). Similarly, a mixed methods study conducted by Vogliano et al. in a remote community in Western province found that over two-thirds (73%) of participants did not meet the requirements of the Minimum Dietary Diversity Score for Women, with ease of access and convenience of imported foods described as drivers of historical food system transitions away from traditional diets (16). Given the critical role that locally produced fresh foods play in supporting maternal health and child development, promoting local agricultural production and traditional food production practices, strengthening social marketing of local foods, and discouraging the consumption of non-nutritious processed foods are key actions to improve nutrition outcomes in Solomon Islands. These actions are included as key policy areas for action in the Solomon Islands’ updated National Food Security, Food Safety, and Nutrition Policy for 2019–2023 released since the completion of this study (36).

Knowledge is necessary but not sufficient for nutrition-related behavior change, especially in Solomon Islands where a shift to a market-based economy has contributed to new food and nutrition security challenges (15, 37). In the past, Solomon Islanders primarily accessed food through fishing, subsistence gardening, hunting, and trading; however, the socio-economic shift toward service-based industries and exports has altered food access patterns, and consequently, consumption (15, 38). For example, we found rural households engaging in homestead food production not for their own consumption, but to generate sales whose profits can be used to buy imported foods that more easily meet the caloric needs of a large family. As incomes rise, rural households tend to purchase more imported foods in this setting (16). In urban Kola’a, caregivers explained that the opportunity cost of being employed outside of the home, which is now more commonplace, means inadequate time available for producing foods at home.

While nutrition-sensitive interventions, such as those promoting home gardens to increase household vegetable consumption, have positively improved local diets in other settings, Solomon Islands offers a challenging context for local food production given its vulnerability to climate-related threats (39). Rising ocean levels and temperatures, more frequent droughts and storms, greater flooding due to heavier rains, and increased pests have made local food production through gardening and fishing increasingly difficult in this setting (16, 40). In fact, participants in our study specifically ascribed recent crop failures to drought and flooding as well as damage caused by Giant African Snails. Research in coastal areas of the country has attributed changing oceanic conditions to falling fisheries production (38). These vulnerabilities may help to explain the reliance on imported foods in Solomon Islands.

While investigating maternal diets, we found that the diets of pregnant and lactating women are similar to those consumed by other adults given the general challenges to accessing more nutritious foods. In some cases, however, data suggest that cultural food rules (e.g., avoidance of certain fish during pregnancy; increased consumption of fluids during lactation) may influence maternal diets in this setting. In Solomon Islands, where consumption of processed foods high in sodium is commonplace, avoiding proscribed foods such as “deep-sea fish” may offer some protection against excess sodium intake and risk of hypertension, for instance (41). Similarly, increased fluid intake during lactation may have some beneficial effects given the role of adequate hydration in milk production (42, 43).

National survey data corroborate our findings that breastfeeding practices are strong among Solomon Islanders. Most mothers initiate breastfeeding within 1 h of birth (79%) and exclusively breastfeeding for 6 months (75%) in this setting where past initiatives have shaped an enabling environment for breastfeeding (11). For instance, the national referral hospital in Honiara has joined the Baby Friendly Hospital Initiative, which promotes optimal care for new mothers (44). At the community level, professional health workers promote breastfeeding, an approach that has been effective in other settings where care groups and similar interpersonal support are built into the health system. Strengthening maternity protection legislation by enacting gender-sensitive workplace policies (e.g., compulsory lactation rooms in work places, paid breastfeeding breaks) may specifically help the mothers in our study who reported breastfeeding challenges while working (45). Given the island-wide burden of NCDs, continued investment in breastfeeding initiatives may be a cost-effective approach to help mitigate disease risk even into adulthood (46).

Finally, we observed infant and young child diets characterized by frequent consumption of both sugar sweetened beverages and snacks (e.g., biscuits) and low dietary diversity. While more than one third (37%) of Solomon Islands children under 2 years consumed adequately diverse diets in 2015, just 14% of those aged 6–8 months did so (11). Community members suggested education-based interventions for caregivers, as well as financial support and family planning approaches, to help families improve child nutrition. Given the complex upstream factors that shape this food environment, interventions to improve child nutrition in Solomon Islands may benefit from multi-level prevention strategies targeting modifiable aspects of the food environment above and beyond the individual level. For instance, intervening through small food stores where unhealthy snack foods are often purchased has shown promise in other Pacific Island Countries and beyond (47, 48).

We designed this study to be iterative, with multiple phases of data collection that allowed for findings from one phase to inform the next. Such a design is an important strength of this type of exploratory qualitative research using mixed ethnographic methods. Another aspect of our study that gives us confidence in our findings is the methodological triangulation used to answer research questions from different perspectives. Triangulation is an established strategy for helping to ensure data credibility in this type of research (49). Our study also has several limitations that should inform interpretation of our findings. Firstly, rural data collection occurred in Malango, a site in the fertile northern plains of Guadalcanal province with ideal growing conditions and good market access, thus limiting our ability to extrapolate findings to other rural islands (10). Secondly, data collection occurred during one season of the year when findings may be season specific. However, we tried to account for seasonality by using specific methods like the seasonal food availability workshops for data generation across the calendar year. Finally, while we conducted repeated meal observations among the same households to reduce reactivity it is likely that the presence of observers may have altered some feeding behaviors of interest (21).

5. Conclusion

Our study revealed that MIYCN in the first 1,000 days of life in Solomon Islands is shaped by a complex interplay of micro- and macro-level factors that result in food and nutrition insecurity at the household level, thus negatively impacting maternal diets and complementary feeding practices. Given the complexity of these interacting factors, a multi-sectoral approach addressing all behavioral levels of influence may help to improve the nutrition situation of women and children in Solomon Islands.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving human participants were reviewed and approved by the Solomon Islands Ministry of Health and Medical Services. The ethics committee waived the requirement of written informed consent for participation.

Author contributions

WE, UP, and SG: conceptualization. SK, MN-L, and JM: methodology. MM, KG, and MN-L: formal analysis. KG, MM, MN-L, AC, SN, and JL: investigation. KG and SK: writing—original draft preparation. All authors read and approved the final manuscript.

Funding

This study was funded by the United Nations Children’s Fund.

Acknowledgments

We would like to acknowledge the participants who gave us their time, patience, and warm hospitality during data collection. Second, we are very grateful to the members of Ministry of Health and Medical Services of Solomon Islands for their support and dedication throughout this project including SN, JL, Ambrose Gali, and Martha Leokana.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Swinburn BA, Kraak VI, Allender S, Atkins VJ, Baker PI, Bogard JR, et al. The global syndemic of obesity, undernutrition, and climate change: the lancet commission report. Lancet. (2019) 393:791–846. doi: 10.1016/S0140-6736(18)32822-8

CrossRef Full Text | Google Scholar

2. Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. (2013) 382:427–51. doi: 10.1016/S0140-6736(13)60937-X

CrossRef Full Text | Google Scholar

3. Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. (2008) 371:243–60. doi: 10.1016/S0140-6736(07)61690-0

CrossRef Full Text | Google Scholar

4. Mandy M, Nyirenda M. Developmental origins of health and disease: the relevance to developing nations. Int Health. (2018) 10:66–70. doi: 10.1093/inthealth/ihy006

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Popkin BM, Corvalan C, Grummer-Strawn LM. Dynamics of the double burden of malnutrition and the changing nutrition reality. Lancet. (2020) 395:65–74. doi: 10.1016/S0140-6736(19)32497-3

CrossRef Full Text | Google Scholar

6. Development Initiatives. 2021 Global Nutrition Report: The State of Global Nutrition. Bristol: Development Initiatives (2021).

Google Scholar

7. Haddad L, Cameron L, Barnett I. The double burden of malnutrition in SE Asia and the Pacific: priorities, policies and politics. Health Policy Plan. (2015) 30:1193–206. doi: 10.1093/heapol/czu110

PubMed Abstract | CrossRef Full Text | Google Scholar

8. National Statistics Office of Solomon Islands. 2019 National Population and Housing Census. Honiara: Ministry of Finance and Treasury (2020).

Google Scholar

9. United Nations Development Programme. The 2020 Human Development Report. New York, NY: United Nations Development Programme (2020).

Google Scholar

10. Andersen AB, Thilsted SH, Schwarz AM. Food and Nutrition Security in Solomon Islands. Penang: CGIAR Research Program on Aquatic Agricultural Systems (2013).

Google Scholar

11. National Statistics Office of Solomon Islands. Solomon Islands Demographic and Health Survey 2015. Honiara: Ministry of Health and Medical Services and the Pacific Community (2017).

Google Scholar

12. United Nations Children’s Fund. UNICEF Conceptual Framework on the Determinants of Maternal and Child Nutrition. New York, NY: UNICEF (2021).

Google Scholar

13. National Statistics Office of Solomon Islands. Solomon Islands 2012/2013 Household income and Expenditure Survey: National Analytical Report. Honiara: Ministry of Finance and Treasury (2015).

Google Scholar

14. Smith LC, Subandoro A. Measuring Food Security Using Household Expenditure Surveys. Washington, D.C: International Food Policy Research Institute (IFPRI) (2007).

Google Scholar

15. Albert J, Bogard J, Siota F, McCarter J, Diatalau S, Maelaua J, et al. Malnutrition in rural Solomon Islands: an analysis of the problem and its drivers. Mater Child Nutr. (2020) 16:e12921. doi: 10.1111/mcn.12921

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Vogliano C, Raneri JE, Coad J, Tutua S, Wham C, Lachat C, et al. Dietary agrobiodiversity for improved nutrition and health outcomes within a transitioning indigenous Solomon Island food system. Food Secur. (2021) 13:819–47. doi: 10.1007/s12571-021-01167-7

CrossRef Full Text | Google Scholar

17. Government of Solomon Islands. National Food Security, Food Safety, and Nutrition Policy 2010–2015. Honiara: Ministry of Health and Medical Services (2009).

Google Scholar

18. Rodil AS, Mias-Cea MAA. Honiara, Solomon Islands–Climate Change Vulnerability Assessment. Nairobi: United Nations Development Programme and UN Human Settlements Programme (2014).

Google Scholar

19. National Statistics Office of Solomon Islands. 2009 Population and Housing Census: Report on Migration and Urbanisation. Honiara: Ministry of Finance and Treasury (2009).

Google Scholar

20. Pelto GH, Armar-Klemesu M, Siekmann J, Schofield D. The focused ethnographic study ‘assessing the behavioral and local market environment for improving the diets of infants and young children 6 to 23 months old’ and its use in three countries. Matern Child Nutr. (2013) 9(Suppl. 1):35–46. doi: 10.1111/j.1740-8709.2012.00451.x

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gittelsohn J, Shankar AV, West KP, Ram RM, Gnywali T. Estimating reactivity in direct observation studies of health behaviors. Hum Organiz. (1997) 56:182–9. doi: 10.17730/humo.56.2.c7x0532q2u86m207

CrossRef Full Text | Google Scholar

22. Kodish S, Aburto N, Dibari F, Mlambo T, Gittelsohn J. Using participatory community workshops to develop salient communications strategies for introducing a small-quantity LNS in rural Malawi and Mozambique. FASEB J. (2015) 29:584.27. doi: 10.1096/fasebj.29.1_supplement.584.27

CrossRef Full Text | Google Scholar

23. Sharma S, Gittelsohn J, Rosol R, Beck L. Addressing the public health burden caused by the nutrition transition through the Healthy Foods North nutrition and lifestyle intervention programme. J Hum Nutr Diet. (2010) 23(Suppl. 1):120–7. doi: 10.1111/j.1365-277X.2010.01107.x

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Smith JJ, Borgatti S. Salience counts and so does accuracy: correcting and updating a measure for free-list item salience. J Ling Anthropol. (1997) 7:208–9. doi: 10.1525/jlin.1997.7.2.208

CrossRef Full Text | Google Scholar

25. Sallis JF, Owen N, Fisher EB. Ecological Models of Health Behavior, 4th Edn, K Glanz, BK Rimer, K Viswanath editors. San Francisco, CA: John Wiley & Sons (2008).

Google Scholar

26. Hennink M, Kaiser BN. Sample sizes for saturation in qualitative research: a systematic review of empirical tests. Soc Sci Med. (2022) 292:114523. doi: 10.1016/j.socscimed.2021.114523

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Weller SC, Romney AK. Systematic Data Collection. Thousand Oaks, CA: Sage Publications, Inc (1988). doi: 10.4135/9781412986069

CrossRef Full Text | Google Scholar

28. Gittelsohn J, Roache C, Kratzmann M, Reid R, Ogina J, Sharma S. Participatory research for chronic disease prevention in Inuit communities. Am J Health Behav. (2010) 34:453–64. doi: 10.5993/AJHB.34.4.7

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Creswell JW. Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Thousand Oaks, CA: Sage (2013).

Google Scholar

30. Charmaz K. Constructing Grounded Theory. Thousand Oaks, CA: Sage (2014).

Google Scholar

31. Qsr International. NVivo Qualitative Data Analysis Software. Melbourne, VIC: QSR International (2018).

Google Scholar

32. Analytical Technologies. Anthropac Software. Lexington, KY: Analytical Technologies (1992).

Google Scholar

33. Lochetti G, Meldrum G, Kennedy G, Termote C. Seasonal Food Availability Calendar for Improved Diet Quality and Nutrition: Methodology Guide. Rome: Alliance of Bioversity International and CIAT (2020).

Google Scholar

34. Pasqualino M, Kennedy G, Nowak W. Seasonal Food Availability: Barotse Floodplain System. Biodiversity International. Bayan Lepas: WorldFish (2015).

Google Scholar

35. Andrew NL, Allison EH, Brewer T, Connell J, Eriksson H, Eurich JG, et al. Continuity and change in the contemporary Pacific food system. Global Food Secur. (2022) 32:100608. doi: 10.1016/j.gfs.2021.100608

CrossRef Full Text | Google Scholar

36. Government of Solomon Islands. National Food Security, Food Safety, and Nutrition Policy 2019–2023. Honiara: Ministry of Health and Medical Services (2019).

Google Scholar

37. Horsey B, Swanepoel L, Underhill S, Aliakbari J, Burkhart S. Dietary diversity of an adult Solomon Islands population. Nutrients. (2019) 11:1622. doi: 10.3390/nu11071622

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Dey MM, Gosh K, Valmonte-Santos R, Rosegrant MW, Chen OL. Economic impact of climate change and climate change adaptation strategies for fisheries sector in Solomon Islands: implication for food security. Mar Policy. (2016) 67:171–8. doi: 10.1016/j.marpol.2016.01.004

CrossRef Full Text | Google Scholar

39. Allen MG. Framing food security in the Pacific Islands: empirical evidence from an island in the Western Pacific. Reg Environ Change. (2015) 15:1341–53. doi: 10.1007/s10113-014-0734-5

CrossRef Full Text | Google Scholar

40. Warrick O, Aalbersberg W, Dumaru P, McNaught R, Teperman K. The ‘pacific adaptive capacity analysis framework’: guiding the assessment of adaptive capacity in pacific island communities. Reg Environ Change. (2017) 17:1039–51. doi: 10.1007/s10113-016-1036-x

CrossRef Full Text | Google Scholar

41. World Health Organization. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013–2020. Geneva: World Health Organization (2013).

Google Scholar

42. World Health Organization. Domestic Water Quantity, Service Level and Health. 2nd Edn. Geneva: World Health Organization (2020).

Google Scholar

43. Ndikom CM, Fawole B, Ilesanmi RE. Extra fluids for breastfeeding mothers for increasing milk production. Cochrane Database Syst Rev. (2014) 6:Cd008758. doi: 10.1002/14651858.CD008758.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

44. World Health Organization. Implementation Guidance: Protecting, Promoting and Supporting Breastfeeding in Facilities Providing Maternity and Newborn Services – The Revised Baby-Friendly Hospital Initiative. Geneva: World Health Organization (2018).

Google Scholar

45. Rollins NC, Bhandari N, Hajeebhoy N, Horton S, Lutter CK, Martines JC, et al. Why invest, and what it will take to improve breastfeeding practices? Lancet. (2016) 387:491–504. doi: 10.1016/S0140-6736(15)01044-2

CrossRef Full Text | Google Scholar

46. Horta BL, Loret de Mola C, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. (2015) 104:30–7. doi: 10.1111/apa.13133

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Gittelsohn J, Dyckman W, Frick KD, Boggs MK, Haberle H, Alfred J, et al. A pilot food store intervention in the Republic of the Marshall Islands. Pac Health Dialog. (2007) 14:43–53.

Google Scholar

48. Gittelsohn J, Rowan M, Gadhoke P. Interventions in small food stores to change the food environment, improve diet, and reduce risk of chronic disease. Prev Chronic Dis. (2012) 9:E59. doi: 10.5888/pcd9.110015

CrossRef Full Text | Google Scholar

49. Carter N, Bryant-Lukosius D, DiCenso A, Blythe J, Neville AJ. The use of triangulation in qualitative research. Oncol Nurs Forum. (2014) 41:545–7. doi: 10.1188/14.ONF.545-547

CrossRef Full Text | Google Scholar

Keywords: infant and young child feeding, Solomon Islands, Pacific Island Countries, qualitative research, MIYCN (maternal, infant, and young child nutrition)

Citation: Grey K, Kodish SR, Namohunu SA, Losi J, Matean M, Palaniappan U, Northrup-Lyons M, Cherian A, Gwavuya S, McLean J and Erasmus W (2023) Determinants of maternal, infant, and young child nutrition during the 1,000-day window of opportunity in Solomon Islands: A focused ethnographic study. Front. Nutr. 9:1082161. doi: 10.3389/fnut.2022.1082161

Received: 27 October 2022; Accepted: 30 December 2022;
Published: 19 January 2023.

Edited by:

Charoula Konstantia Nikolaou, University of Greenwich, United Kingdom

Reviewed by:

Ademola Adenle, Technical University of Denmark, Denmark
Lalit Sankhe, Grant Medical College and Sir Jamshedjee Jeejeebhoy Group of Hospitals, India

Copyright © 2023 Grey, Kodish, Namohunu, Losi, Matean, Palaniappan, Northrup-Lyons, Cherian, Gwavuya, McLean and Erasmus. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Kelsey Grey, www.frontiersin.org kelsey.grey@alumni.lshtm.ac.uk

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