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Research Article

Patterns and determinants of breastfeeding and complementary feeding practices over the first year of life in a rural Gambian population

[version 1; peer review: 1 approved, 1 approved with reservations]
+ Deceased author
PUBLISHED 04 Jul 2023
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Abstract

Background: Although breastfeeding is common in The Gambia, high rates of undernutrition in children under five highlight the importance of understanding drivers of particular feeding patterns in this environment, especially early introduction of non-breast milk foods (NBMFs). The country’s marked seasonality, which is associated with annual food insecurity and heavy maternal workload, may influence breastfeeding patterns; however, longitudinal assessments of infant diet in relationship to such factors are limited. We aimed to characterize infant breastfeeding patterns and timing of introduction of local complementary foods in a rural Gambian population across the first twelve months of life. Potential environmental and sociodemographic predictors of exclusive breastfeeding (EBF) duration were explored in order to identify factors that may influence infant feeding decisions in this population.
Methods: Data from dietary questionnaires (administered every ten days until 12 months of age) collected as a part of the Hormonal and Epigenetic Regulators of Growth study (2013-2018) were used to calculate EBF duration in a subsample of 194 mother-infant pairs. Socioeconomic questionnaires and Principal Component Analysis were used to calculate household sociodemographic position (SEP). Multiple linear regression analyses were used to investigate potential predictors of EBF duration, including seasonality, SEP, and maternal and infant factors.
Results: Mean age at introduction of food or liquid other than maternal milk was five months (±1.5). At twelve months, 98.7% of infants continue to receive some maternal milk. Being born in  May significantly predicted shorter EBF duration by -1.68 months (95% CIs: -2.52, -0.84mo; P<.0001). SEP, maternal parity, and infant sex were non-significant predictors of EBF duration.
Conclusions: Maternal milk is a vital component of infant diet across the first twelve months of life in this population. Earlier introduction of NBMFs coincides with the annual period where maternal agricultural workload intensifies in this region, though additional investigation is warranted.

Keywords

maternal milk, infant, diet, The Gambia, nutrition, complementary feeding, West Africa

Introduction

The World Health Organization (WHO) recommends exclusive breastfeeding (EBF) until six months of age, followed by introduction of safe and nutritionally adequate foods in addition to continued breastfeeding until 24 months of age1. This duration has been identified as a key intervention for reducing mortality during childhood. However, a large proportion of infants begin consuming non-breast milk foods (NBMFs) much earlier26. A comprehensive characterization of early life diet is of particular importance in low-income populations that experience marked seasonality associated with annual food insecurity, heavy maternal workload, and fluctuations in infectious disease burden. These factors influence early life growth, the outcome of which is linked to infant/childhood – and later life – morbidity and mortality79.

Globally, undernutrition is the underlying cause of more than 45% of deaths in children under 5 years of age10. This can occur directly through acute malnutrition, or through childhood diseases (such as malaria, diarrhea, pneumonia), which are more likely to become fatal in undernourished children11. In The Gambia in West Africa (Figure 1), more than 25% of children under five years of age are affected by chronic undernutrition1214. The prevalence of undernutrition has increased in recent years, largely impacting rural areas of the country7. Chronic malnutrition is most prevalent among children 6–17 months of age in The Gambia; aligning with the period of transition from exclusive breastfeeding (EBF) to incorporation of liquids and foods other than maternal milk into the diet15.

1e248c9c-30a5-48b9-80f4-6c80133d76d3_figure1.gif

Figure 1. Map of The Gambia (West Kiang region shaded in gray).

Figure 1 Footer: (MRC: Medical Research Council Keneba field station. Note: There are a total of 36 villages currently registered within the West Kiang Demographic Surveillance System. Only the villages included in the present analysis are depicted on the map.).

Suboptimal dietary intake can result in a myriad of adverse health consequences, including increasing susceptibility to infection. Mortality rates for children under five from diarrhea and pneumonia in The Gambia are high, and peak during ages when complementary foods are first introduced (~ five months)16. Infection rates and food security fluctuate across the year and are associated with the country’s marked seasonality, with a long dry “harvest” season (November to June), and a short wet “hungry” season (July to October)17. Moore (2016) reports that The Gambia’s strong seasonality creates a setting in which month of birth is a strong proxy of nutrition, infectious diseases, and mortality in early life. Additionally, long-term effects on immune programming in rural Gambian populations likely have a nutritional origin18.

Breastfeeding is nearly universal in The Gambia, and the only sustainable option for many. Prior research shows that more than 95% of infants in The Gambia receive maternal milk throughout the first twelve months of life and nearly half of mothers continue to breastfeed until their infant is 24 months of age1922. Existing research reports that cessation of EBF in The Gambia occurs between 3 to 6 months of age2,2226, generally earlier than the WHO recommended duration.

Earlier introduction of NBMF in populations in the West Kiang Region of The Gambia (Figure 1) may relate to fluctuations in maternal agricultural workload in this particular subsistence economy. Crop growth predominantly occurs during the wet season whereas crop harvesting takes place at the end of the wet season and into the start of the dry season. As such, the wet season is characterized by reduced food availability and increased maternal agricultural workload27,28. It is also associated with increased morbidity and mortality2931. Food stores improve, physical labor related to subsistence practice is lessened, and morbidity prevalence is reduced during the dry season.

Women in the West Kiang region of The Gambia work for long periods (around 15 hours per day) in agricultural fields, conducting physically intensive tasks such as land preparation, planting, weeding, watering, harvesting, and transporting32. Rural Gambian women report that engaging in laborious work under harsh environmental conditions sometimes comes at the expense of the child’s well-being, including reduction of time allocated towards child health and nutritional needs33. Physical activity level of mothers in this area has been reported to return to pre-pregnancy levels after the first month post-partum34; thus, an increase in agricultural workload may relate to a decision to begin introducing complementary foods earlier. Infants are often separated from their mothers from morning to evening during periods of heavy workload (the amount of physical effort required to carry a child to the field has been cited as a reason to introduce NBMFs at earlier ages35,36 and are commonly left in the care of other children or an elderly family member33,3744. When infants receive care from others, earlier cessation of EBF may be a necessary alteration to infant feeding45,46.

Annual cropping patterns in The Gambia also determine food supply throughout the year, and thus the availability of certain ingredients for complementary foods. Traditional local complementary foods in rural Gambia include cereal dishes and other staples, such as rice (local name, ‘mani’), millet (‘sanyo’, ‘suno’), and maize (‘tubanyo’), which are among the staple crops grown in The Gambia. Cereal crops are generally harvested between September and December in rural Gambia (most observations cited were made in Keneba, a remote subsistence farming village in the West Kiang Region), resulting in particularly plentiful food supplies in November and December47. Food shortages often occur in July and August. For example, the availability of groundnuts, the chief cash crop in the country and a primary ingredient of ‘tiakere churo’ (rice and groundnut porridge), decreases in August and September when the new crop has been planted but is not yet harvestable47. When food is scarce during the wet season, ‘jidiyo,’ a watery/thin gruel made with powder or any pounded grain, may be preferentially used over a thicker, ‘mono,’ porridge for infants47. Meat, fish, and animal milk are used less frequently as complementary foods23,24,48. Nutritional composition of raw ingredients and dietary information for recipes of locally prepared dishes (e.g., porridges) have been reported in previous studies4953.

Infant feeding practices and access to nutritious foods have been associated with household socioeconomic position (SEP) across various populations, which can add complexity to infant feeding decisions. In The Gambia, children from rural communities had significantly higher odds of not meeting the requirement for minimum acceptable diet (a core indicator for assessing infant and young child feeding practices developed by the WHO; includes minimum dietary diversity and minimum meal frequency) compared with their urban counterparts12,54,55. Prevalence of early life malnutrition and mortality are also higher in rural areas of the country compared to urban areas15. This may relate to a number of factors, such as general household poverty56. Over-dependence on subsistence rain-fed agriculture and consumption (insufficient dietary diversity) combined with high poverty, low literacy levels, and high prevalence of morbidity were also identified as major predisposing factors to undernutrition in rural areas of the country15. Because malnutrition is a significant contributor to infant and child morbidity and mortality, it is critical to regularly assess early life diet.

In this study, we aim to comprehensively characterize breastfeeding patterns and the timing of introduction of specific local complementary foods in a rural Gambian population across infants’ first twelve months of life. We also explore potential environmental and sociodemographic predictors of EBF duration in order to identify factors that may influence infant feeding decisions in this population.

Methods

Ethics

The HERO-G study was approved by the joint Gambian Government/MRC Unit The Gambia Ethics Committee (Project No. SCC1313v3), and the University of Colorado, US, Institutional Review Board (Protocol No. 13-0441). Written informed consent was obtained from all participants before enrollment. Full details of the HERO-G study can be found in the published study protocol57.

HERO-G

We use data collected as a part of the Hormonal and Epigenetic Regulators of Growth (HERO-G) study (2013–2018 active data collection), which was designed to investigate intrauterine and postnatal growth patterns in rural Gambian infants (N=238) using epigenetic, endocrine, and metabolic analyses. The HERO-G study was conducted in the West Kiang region of The Gambia. The present analysis includes data from ‘core’ (Kantong Kunda, Keneba, and Manduar) and ‘outreach’ (Bajana, Dumbuto, Jali, Janneh Kunda, Jattaba, Jiffarong, Joli, Karantaba, Kemoto, Kuli Kunda, Mandina, Sandeng, Sankandi, and Tankular) villages (Figure 1).

Infant feeding questionnaire

As a part of the HERO-G study, dietary questionnaires regarding infant feeding were administered to mothers by trained field workers every ten days, starting at 1 week of infant age (mothers and infants traditionally stay home together to rest and recover for a week after birth, after which a naming ceremony is held) until 12 months of age. Mothers or caregivers were asked to recall infant feeding practices in the previous 10 days. Questions included those such as infant breastfeeding status, if NBMFs were given, the frequency of intake of those foods or liquids, and specification of food type (e.g., water, tea, cow’s milk, watery or thick gruel, etc.). The full dietary questionnaire is detailed in Table 1.

Table 1. HERO-G subsample (N=194) maternal and infant baseline characteristics.

VariableHERO-G Subsample
(N=194)
Maternal age, years (SD)32.0 (±6.9)
Parity, N (%)
Primiparous18 (9.3)
Multiparous176 (90.7)
Infant season of birth, N (%)
Wet season (Jul-Oct)64 (33.0)
Dry season (Nov-Jun)130 (67.0)
Infant sex, N (%)
Male103 (53.1)
Female91 (46.9)

To characterize infant feeding patterns, we calculated descriptive statistics from the dietary questionnaire responses, including mean, standard deviation (SD), and ranges where appropriate. Infant feeding practice was defined by EBF status at 6 months of age, based on the WHO recommended EBF duration of 6 months1. Infants were categorized as either ‘EBF <6 months’ (provision of breast milk and non-breast milk foods/liquids before 6 months of age) or ‘EBF ≥6 months’ (provision of breast milk only until 6 months or later)21,58.

Subsample inclusion/exclusion criteria

A subsample (N=194) of mother-infant pairs from the larger HERO-G cohort (N=238) were included in the present analysis based on completeness of collected data over the first 12 months of life. Specifically, mother-infant pairs with no available infant feeding data (N=10), and those missing infant feeding data from three consecutive visits (the equivalent of one month) during the first 6 months of life (N=34) were excluded from this analysis (Figure 2). Instances of no available infant feeding data were attributable to unavailability of mother at the time of questionnaire distribution, either related to maternal travel or undocumented reasons. In many cases, missing infant feeding data from > three consecutive reports of infant feeding practices occurred if mothers were traveling or working and thus unavailable to provide responses to the questionnaire.

1e248c9c-30a5-48b9-80f4-6c80133d76d3_figure2.gif

Figure 2. Flow diagram of included and excluded HERO-G participants in the HERO-G subsample.

To determine the statistical power of a sample size of 194 in examining associations between EBF duration and environmental, sociodemographic, and maternal and infant factors using multiple linear regression (F-test), a post-hoc power analysis was conducted using G*Power 3.159. With a medium effect size (f2=0.15) and a significance level of α = 0.05, a sample size of 194 has a power (1-ß err prob) of 0.99. Baseline characteristics of the HERO-G subsample are described in Table 1. There were no significant differences between baseline characteristics of the full HERO-G cohort and the HERO-G subsample.

Socioeconomic position

Fieldworkers administered a socioeconomic questionnaire during the ‘booking’ visit for the HERO-G study, which refers to the first clinic visit after pregnancy confirmation (variable gestational age)57. Mothers were asked to provide information regarding sociodemographic variables (maternal education attainment), household characteristics (crowding index [number of persons per room within a dwelling], material of dwelling walls and floor), and durable assets (livestock ownership, possession of a cart). Details of the full socioeconomic questionnaire are described in Table 2. Other economic indicators commonly used in assessments of socioeconomic position (SEP), such as occupation, income, consumption expenditure, water source, ownership of a bicycle or vehicle, ownership of a radio, and/or access to electricity, were not documented as a part of the HERO-G study. The present analysis focuses only on the responses collected from mothers included in subsample (N=194) from the larger HERO-G study (N=238).

Table 2. Descriptive statistics of SEP questionnaire responses and excluded/included variables.

ItemValueIncluded/Excluded
1. Sociodemographic
Maternal education attainment, N (%)Included (treated as continuous)
No education125 (75.3)
Low (1–7 years)17 (10.2)
Medium (8–14 years)24 (14.5)
Present education enrollment, N (%)Excluded (inadequate variation)
Yes1 (0.6)
No40 (26.5)
N/A125 (75.3)
2. Household Characteristics
Crowding index, (people:rooms)Included (treated as continuous)
< 121 (12.7)
≥1 (crowded)145 (87.3)
Wall material, N (%)Included
Mud151 (91.0)
Cement15 (9.0)
Other0 (0.0)
Unknown0 (0.0)
Floor material, N (%)Included
Mud55 (33.1)
Cement111 (66.9)
Other0 (0.0)
Unknown0 (0.0)
3. Durable Assets
Livestock Ownership
Sheep, N (%)Excluded
17 (3.6)
26 (3.6)
5+3 (1.8)
Goats, N (%)Excluded
126 (15.7)
220 (12.0)
317 (10.2)
410 (6.0)
5+13 (7.8)
Cattle, N (%)Excluded
15 (3.0)
2+5 (3.0)
Possessions, N (%)Excluded (inadequate variation)
Cart
Yes1 (0.6)
No165 (99.4)

Available data for variables documented in the above questionnaire describing sociodemographic characteristics, household characteristics, and durable assets were used to generate an asset score using Principal Component Analysis (PCA). First, data were cleaned and descriptive statistics were calculated to determine the distributions of participant responses. Categorical variables were re-coded in order to meet continuous variable requirements of PCA analyses. Next, JMP Pro 15.0 statistical software (©2019 SAS Institute, Inc.) was used to perform the PCA using the Multivariate Methods function. It is assumed in the literature that the first principal component is an appropriate measure of economic status60.

Item inclusion/exclusion

Of the 194 mothers included in the HERO-G subsample, full socioeconomic questionnaire responses were available for 166 individuals. A total of ten items were collected in the questionnaire, four of which were used in the present PCA. Descriptive statistics and inclusion/exclusion status are described below and detailed in Table 2 for each of the ten items collected in the questionnaire. First, of the ten items collected, two were removed from the PCA due to inadequate variation: (1) present enrollment in education (1.2 in Table 2), where only one participant reported being in education at the time the questionnaire was administered); and (2) cart ownership (5.1 in Table 2), where only one participant reported owning a cart. Number of years of completed maternal education was incorporated as a continuous variable in the PCA and also categorized into one of three groups based on the response distribution for descriptive purposes: No Education (0 years), Low (1–7 years), and Medium (8–14 years) Education. These categories are based on previous studies in populations from the West Kiang Region of The Gambia21.

Additionally, livestock ownership (cow, goat, and sheep) was removed from the PCA. The value and importance of livestock species in The Gambia have well-established links to household income6163 and studies in the West Kiang region have used cattle ownership as a single indicator of wealth (households owning < 10 cattle considered poor and those owning > 10 cattle considered wealthy64). However, without data on female-only ownership, male-only ownership, or mixed ownership of livestock, confirmation that the mothers enrolled in HERO-G were the sole owner (which is unlikely because of the distinct gender differences in livestock ownership practices in the country) is not feasible. Because the potential inconsistencies in reporting based on varying definitions of ownership; for example, a mother may report owning eight cows when the cows are owned by a co-wife’s family who lives in the same compound, which therefore may not adequately represent individual household wealth. Such inconsistencies may influence the accuracy of the explanatory power of the variable, so therefore livestock ownership was excluded as a variable from further calculations.

Following the WHO Housing and Health Guidelines65, crowding was defined as more than one person per room, and severe crowding as more than 1.5 persons per room. Crowding index was calculated using a ratio between the number of rooms within the dwelling (2.1 in Table 2), and the number of persons living in the dwelling (2.2 in Table 2), thus combining 2 items from the questionnaire into 1 value. Crowding was coded as 0 and a non-crowded dwelling was coded as 1. Full descriptive statistics are presented below.

In total, three of the components had an eigenvalue of greater than one. The first principal component explained 30.2% of the variation within the data and had an eigenvalue of 1.21 and was thus considered appropriate to be used as an index. Table 3 shows the eigenvectors (the weight for each eigenvalue) and the factor loadings (correlation of each item in the principal component) of the first principal component on items included in the PCA. The highest contributors to the SEP score were floor material, wall material, and household crowding. Maternal education attainment had the lowest contribution.

Table 3. PCA Component 1 eigenvectors and factor loadings of items included in SEP score.

ItemEigenvectorsFactor Loadings
Education attainment0.105770.11629
Household Crowding-0.41567-0.45702
Wall Material0.536990.59041
Floor Material0.726410.79867

Each item was multiplied by its respective factor loading value to account for its individual weighted contribution and then each item was summed to produce an SEP score. SEP score was used as a continuous variable in the multiple linear regression models described in the following section.

Statistical models

Multiple linear regression analyses were used to investigate potential predictors of infant EBF duration, including seasonality, household SEP, and maternal and infant factors. Multicollinearity was determined using a conservative VIF > 5. Significant associations identified in the models were summarized using the beta regression coefficients and 95% confidence intervals (CI). Model effect size is reported as Cohen’s f2, where f2 ≥ 0.02, f2 ≥ 0.15, and f2 ≥ 0.35 represent small, medium, and large effect sizes, respectively. The level of statistical significance was set to P < 0.05 for all analyses. All statistical analyses were conducted using JMP Pro 15.0 statistical software.

Results

Maternal and infant characteristics

A total of 194 mother-infant pairs were included in the analysis, with a mean (±SD) maternal age of 32.0 (±6.9) years. Most mothers (N=176; 90.7%) were categorized as multiparous. Of the 194 infants, there were a total of 103 male and 91 female, with 145 born during the dry (“harvest”) season and 49 born during the wet (“hungry”) season.

Household sociodemographic characteristics

Maternal education levels were low and in line with previous findings in this population19,21, with 75.3% of mothers having received no formal education. Over 87% of households examined in this analysis were considered crowded (people: rooms ≥1). The majority of households (N=151, 91.0%) contained wall material made from mud and the remaining households (N=15, 9.0%) had walls made of cement. Floor material was most commonly made of cement (N=111, 66.9%) followed by mud (N=55, 33.1%). Livestock ownership was mixed, with ownership of goats reported most frequently (N=86, 44.3%), followed by sheep (N=16, 9.0%) and cattle (N=10, 6.0%).

Infant feeding

The mean (±SD) age for introducing any food or liquid other than breast milk was 5 months (±1.5) with 59 (30.4%) infants EBF ≥6 months and 135 (69.6%) of infants EBF < 6 months. The mean duration of EBF for infants categorized as EBF <6 months was 4.4mo (±1.4) and those categorized as EBF ≥6 months was 6.5 months (±0.4). At 1 month of age, all infants were EBF. By 3 months of age, 5.6% of infants had been given water and 5.6% given semi-solids, which increased to 62.9% and 47.1% by 6 months of age, respectively. At 12 months of age, 98.7% of infants still received breast milk. Non-breast milk liquids given before 6 months of life included tea with milk (8.2%), powdered milk (3.1%), cow’s milk (1.5%), and tinned milk (1.0%). At 6 months of age, 0.01% of infants received solid foods compared to 66.9% at 12 months of age. Broad feeding practice categorizations (provision of maternal milk only, maternal milk plus non-breast milk liquids, and maternal milk plus non-breast milk semi-solids) are depicted according to age in months in Figure 3. Specific common NBMFs (including liquids and semi-solids) given over the first year of life are depicted by monthly reports in Figure 4.

1e248c9c-30a5-48b9-80f4-6c80133d76d3_figure3.gif

Figure 3. Rural Gambian infant feeding practices by age.

1e248c9c-30a5-48b9-80f4-6c80133d76d3_figure4.gif

Figure 4. Common NBMFs given over the first year of life.

Predictors of EBF duration using multiple linear regression analyses

The multiple linear regression model of predictors of EBF duration had a medium effect size (f2=0.15). VIF was < 2 for each variable, meeting the criteria for parameters of collinearity. Results of multiple linear regression analyses showed that infant birth month was a significant predictor of EBF duration in the HERO-G subsample (P=0.0370). Being born in the month of May predicted significantly shorter EBF duration by -1.68mo (95% CIs: -2.52, -0.84mo; P<.0001) in the multiple linear regression. None of the other birth months were significant predictors of breastfeeding practices. There was no significant predictive effect of infant sex, maternal parity, or household SEP on EBF duration. Table 4 details the statistical model results.

Table 4. Multiple linear regression model results of predictors of EBF duration.

EXPLANATORY VARIABLESB95% CIsP
Intercept5.214.71, 5.71<.0001*
Birth month
Jan0.12-0.53, 0.780.7102
Feb0.34-0.31, 1.00.3017
Mar0.24-0.38,0.870.4474
Apr-0.11-0.89, 0.670.7854
May-1.68-2.52, -0.84<.0001*
Jun-0.20-1.09, 0.700.6667
Jul0.51-0.44, 1.460.2928
Aug0.71-0.01, 1.510.0846
Sept0.08-0.79, 0.960.8529
Oct-0.50-1.45, 0.460.3044
Nov0.06-0.84, 0.970.8890
Dec (referent)---
Infant sex
Female-0.14-0.38, 0.110.2699
Parity (continuous)-0.03-0.12, 0.070.5735
SEP Score (continuous)0.08-0.13, 0.290.4708

B: Coefficient estimate; 95% CIs: Confidence Intervals (Lower Bound, Upper Bound); P: P-value; *P<.0001; Statistical significance indicated by boldface font.

Infants born in the month of May (N=13) – shortly before the start of the wet (“hungry”) season – had the shortest average EBF duration at 3.54 months (±1.9). Infants born in August had the longest average EBF duration at 5.65 months (±1.1). Average EBF durations according to birth month are detailed in Table 5.

Table 5. Average EBF duration based on birth month.

Birth MonthNMeanSDStd Err Mean95% CIs
Jan235.151.090.234.68, 5.62
Feb255.321.060.224.87, 5.77
Mar265.231.380.274.68, 5.79
Apr204.871.680.384.08, 5.66
May133.541.980.552.34, 4.73
Jun144.961.240.334.25, 5.68
Jul125.391.490.434.45, 6.33
Aug145.651.070.295.04, 6.27
Sept115.091.490.454.09, 6.09
Oct124.471.740.503.36, 5.57
Nov124.971.890.543.77, 6.17
Dec125.431.760.514.31, 6.55

95% CIs: Confidence Intervals (Lower Bound, Upper Bound)

Discussion

Here, one-third of rural Gambian infants were EBF until the WHO recommended 6 months of age, which corroborates results from both investigations of breastfeeding practices in another rural Gambian population from the West Kiang region over the past decade21,44 and reports from decades prior25,40. Similar findings have been documented in other populations across sub-Saharan Africa66,67. Breastfeeding duration is relatively long in this rural Gambian population, with nearly all infants still receiving maternal milk at 12 months of age, the latest age at which the questionnaire was administered. This percentage aligns with other reports in the literature2022.

The most common NBMFs incorporated into the infant diet during the first 12 months of life in this analysis were grain-based porridges, which include some of the country’s staple crops as ingredients. In particular, gruels made with ‘suno’ (millet), ‘sanyo’ (millet), and ‘tiakere churo’ (groundnut porridge) were reported most commonly. It is well-established that local agriculture is central to the diets of communities in this area, including infant dietary intake21,40,6870. Around 70% of small-scale agricultural production in The Gambia is done by women28,63,71,72, including subsistence work conducted throughout pregnancy and shortly after giving birth34. Thus, the NBMF types commonly reported in the present study highlights the key connection between maternal agricultural workload and complementary feeding.

Assessment of potential predictors of EBF duration showed that seasonality is an important driver of the timing of introduction of NBMFs into the infant diet. This may relate to maternal agricultural workloads, which fluctuate with the annual rains and may influence infant caregiving and subsequently infant feeding practices. Birth month was the only significant predictor of EBF duration in our multiple linear regression model, with May, the month before the start of the wet (“hungry”) season, predicting earlier introduction of NBMFs. During the wet season in The Gambia, mothers commonly spend much of the day separated from their infants, resulting in less frequent breastfeeding and alternative caregivers responsible for infant feeding43,73. The results from the present analysis support that earlier introduction of NBMF coincides with the annual period where maternal agricultural workload intensifies. Infants born in May were weaned, on average, by 3.54 months of age, suggesting that those born right before the start of the wet season are likely to cease EBF before the end of the wet season.

This finding may, however, relate to the uneven number of births across different months in the HERO-G cohort. The greatest number of births occurred in January, February, and March in the HERO-G subsample, with the greatest number of infants receiving their first NBMF in the month of June (which aligns with the median age of weaning in this study). This may be an artifact of the clustering of recruitment to women for this study at a particular time in the year. Thus, it is possible this finding is a byproduct of the proportion of births during the early months of the year as opposed to directly stemming from maternal subsistence activities and seasonality. Future works should consider investigating ‘month’ as a continuum rather than category, as using a coefficient of cyclic variation (as in Fourier analysis) could provide an even deeper understanding of the magnitude and temporal patterns at play74.

Household SEP was not a significant predictor of breastfeeding practices in the multiple linear regression model. This differs from factors established in the literature from other populations, where SEP is associated with earlier EBF cessation due to influences such as limited access to resources such as transportation, access to roads, lower income to purchase nutritionally adequate and hygienic complementary foods, and lower education levels7578. The present finding challenges that of Issaka et al., (2017), where Gambian children from poor households had significantly higher odds of not meeting the recommendations for timing introduction and type of solids, semi-solids, or other soft complementary foods compared to children from wealthy households.

There were some limitations to this study. First, it important to note that calculation of household SEP was less robust here than in other studies due to the reduction of items from the PCA. Acknowledgement of possible bias must be given to the exclusion of livestock ownership in the PCA. Because cattle are valuable as sources of food, income, and transportation and traction (e.g., field plowing), ownership of a cow contributes a high score to the SEP calculation. The calculation used to assess household SEP, however, takes multiple variables into consideration at once, which is more appropriate here than using variables such as maternal education or livestock ownership as single predictor variables.

Employment and household income are variable and difficult to measure in settings such as rural Gambia. For example, broad occupation information may not accurately capture the individual income for self-employed farmers in rural Gambia if it cannot take into account factors such as crop type, seasonality, and transitory market conditions79. Thus, asset scores are often calculated in order to measure relative wealth. Interviews or focus groups, to supplement questionnaires, might enhance the ability of future studies to provide additional context for the interpretation of the causes and consequences of infant feeding decisions in a highly seasonal environment. Revisiting details of household SEP, especially as it relates to maternal agricultural employment in the contemporary setting throughout pregnancy and over the course of lactation in the West Kiang region – a topic that has been rigorously investigated in earlier studies – would provide further insight into the influence of livelihood on dietary patterns.

Other characteristics of this population must be considered in the evaluation of the impact of SEP on EBF practices. In this region, there is low education attainment and prevalent household crowding. Formal education may be less relevant as a driver of infant feeding decisions in this region, as locally designed and run programs such as the Baby Friendly Community Initiative (BFCI) (developed by the National Nutrition Agency) in The Gambia provide local support and education to improve infant and young child feeding practices, including promoting EBF to 6 months of age80. The villages included in the HERO-G study are among those implementing the BFCI in the West Kiang region. The WHO (2009) reports significant success from implementation of BFCI initiatives in The Gambia with marked improvement in early initiation of breastfeeding and EBF to 4 months of age. Specifically, the adoption of certain BFCI strategies contributed to the increase in the national average of EBF from 0% in 1989, to 17.4% in 1998, to 36% in 200081; and 41% in 200620.

Next, collection of retrospective dietary intake data may introduce bias through recall error8284. However, studies comparing maternal recall methods found that 24- and 48-hour recall periods resulted in overestimated EBF durations, and report that 7 to 10 day recall intervals are adequate for general assessment of food intake, and may more accurately capture the complexity of infant feeding patterns compared to shorter intervals8486. Future analyses may benefit from analyses of dietary diversity scores, details of ingredients and preparation processes for homemade complementary foods, assessment of food volumes, focus groups on local feeding decisions/motivations, in particular the transfer of knowledge between generations/sources of information that influence decisions to introduce NBMFs. Future study designs may consider adopting methods to assess any specific relationships between infant complementary feeding practices and shifts in availability of certain food ingredients and/or quantified maternal workload across the seasons.

Studies incorporating detailed analyses of food preparation and microbial composition of local complementary foods in this region would also strengthen the present analysis. In older research (>40 years ago), reports indicate that it was common practice in The Gambia for infant foods to be prepared in large quantities in the morning, sufficient enough for several meals throughout the day and so it is available if another caregiver is responsible for feeding the infant while the mother is away34,87. It is important to note that this may be out of date. This form of food preparation is convenient and efficient but has an associated downside of high levels of pathogenic bacterial contamination due to extended and poor storage conditions8793. After preparation, common local complementary foods are stored at ambient temperatures, which allows the child to be fed on demand87. Additionally, these traditional complementary foods and some of their commonly used ingredients have been shown to contain high abundance of pathogens such as Staphylococcus aureus and Escherichia coli, which are associated with gastrointestinal infection9294. In addition, foods prepared in the wet season contained higher levels of potential pathogens compared to foods prepared during the dry season, presumably because the environmental conditions during the wet season are very hospitable for bacterial growth87. There is also evidence that some gruels are prepared using contaminated water that contains potentially pathogenic coliform bacteria from both animal and human sources70, though this too is out of date research.

Though not incorporated into the present analysis, infant health and growth attainment may also impact a mother’s decision to wean her infant earlier. Research on the directionality of these associations, however, provides mixed results. For example, mothers may cease EBF or modify feeding practices because their infants are ill, perhaps related to hospitalization, type of illness, or perception that maternal milk is not meeting the infant’s immunological needs95. Others may wean infants perceived as healthy (e.g., fewer morbidities) earlier, which may result in increased incidence of morbidity as it relates to reduced immunological protection from maternal milk. Infants perceived as growing well may receive NBMFs earlier if they appear to demand more feeding; mothers may also EBF for longer durations if they regard breastfeeding as causal to healthy growth21. This should be explored in future studies, and the present study sets a strong foundation for such research.

Because malnutrition is a significant contributor to infant and child morbidity and mortality, it is critical to regularly assess early life diet. Although breastfeeding is a common practice in The Gambia, high rates of undernutrition in children under five warrant continued investigations of particular feeding patterns and their possible determinants. Environmental conditions in The Gambia temporally affect many aspects of diet, health, and behavior. Birth month has been identified as a strong proxy of nutritional status, infectious diseases, and mortality in early life in this environment, but to our knowledge has not previously been investigated as a predictor of exclusive breastfeeding duration. We found evidence to suggest that the age at which NBMFs are introduced to the infant diet has a temporal pattern, potentially related to annual shifts in maternal agricultural workload in this population. Further research is warranted to further explore the significance of the observed seasonally driven effects of dietary patterns on infant health and growth outcomes in this region. The present exploration of longitudinal infant feeding data provides context for future research on such topics.

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Washabaugh JR, Moore SE, Doel AM et al. Patterns and determinants of breastfeeding and complementary feeding practices over the first year of life in a rural Gambian population [version 1; peer review: 1 approved, 1 approved with reservations] Gates Open Res 2023, 7:103 (https://doi.org/10.12688/gatesopenres.14490.1)
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Reviewer Report 18 Aug 2023
Rodrigo Vega-Sánchez, Departamento de Nutrición y Bioprogramación, Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Ciudad de México, Mexico 
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Thank you for the opportunity to review this article by Jennifer R. Washabaugh and colleagues. This is a very interesting article where the authors describe infant breastfeeding practices and the timing of the introduction of complementary foods in a population ... Continue reading
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Vega-Sánchez R. Reviewer Report For: Patterns and determinants of breastfeeding and complementary feeding practices over the first year of life in a rural Gambian population [version 1; peer review: 1 approved, 1 approved with reservations]. Gates Open Res 2023, 7:103 (https://doi.org/10.21956/gatesopenres.15804.r34094)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
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Reviewer Report 17 Aug 2023
Cecília Tomori, Johns Hopkins University, Baltimore, Maryland, USA 
Approved with Reservations
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Thank you for the opportunity to review this manuscript on an important topic. The study is well-conceptualized, the manuscript is clearly-written and the findings are compelling. Based on the work presented it appears that heavier seasonal agricultural labor demands are ... Continue reading
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Tomori C. Reviewer Report For: Patterns and determinants of breastfeeding and complementary feeding practices over the first year of life in a rural Gambian population [version 1; peer review: 1 approved, 1 approved with reservations]. Gates Open Res 2023, 7:103 (https://doi.org/10.21956/gatesopenres.15804.r34098)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.

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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

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