| Literature DB >> 33145965 |
Phillip Baker1,2, Thiago Santos3, Paulo Augusto Neves3, Priscila Machado1, Julie Smith4, Ellen Piwoz5, Aluisio J D Barros3, Cesar G Victora3, David McCoy6.
Abstract
The inappropriate marketing and aggressive promotion of breastmilk substitutes (BMS) undermines breastfeeding and harms child and maternal health in all country contexts. Although a global milk formula 'sales boom' is reportedly underway, few studies have investigated its dynamics and determinants. This study takes two steps. First, it describes trends and patterns in global formula sales volumes (apparent consumption), by country income and region. Data are reported for 77 countries, for the years 2005-19, and for the standard (0-6 months), follow-up (7-12 m), toddler (13-36 m), and special (0-6 m) categories. Second, it draws from the literature to understand how transformations underway in first-food systems - those that provision foods for children aged 0-36 months - explain the global transition to higher formula diets. Total world formula sales grew by 115% between 2005 and 2019, from 3.5 to 7.4 kg/child, led by highly-populated middle-income countries. Growth was rapid in South East and East Asia, especially in China, which now accounts for one third of world sales. This transition is linked with factors that generate demand for BMS, including rising incomes, urbanisation, the changing nature of woman's work, social norms, media influences and medicalisation. It also reflects the globalization of the baby food industry and its supply chains, including the increasing intensity and sophistication of its marketing practices. Policy and regulatory frameworks designed to protect, promote and support breastfeeding are partially or completely inadequate in the majority of countries, hence supporting industry expansion over child nutrition. The results raise serious concern for global child and maternal health.Entities:
Keywords: breastmilk substitutes; commercial determinants of health; infant and young child feeding; infant formula; marketing; nutrition transition
Mesh:
Year: 2020 PMID: 33145965 PMCID: PMC7988871 DOI: 10.1111/mcn.13097
Source DB: PubMed Journal: Matern Child Nutr ISSN: 1740-8695 Impact factor: 3.092
First‐food systems components
| Components | Description |
|---|---|
|
| Factors linked with social, economic, technological and political change, including changing birth‐rates, income growth, urbanization, the nature of women's work within and outside of the home, shifts in socio‐cultural norms, and globalization. |
|
| Breastmilk supplied by the mother–child breastfeeding dyad; also by wet nurses, milk banks, informal sharing networks or commercial sources; BMS and other baby food supply chains, involving the inputs, actors and activities relating to the production of ingredients through to processing, manufacturing, distribution and disposal. |
|
| The contexts in which mothers and care‐givers make feeding decisions, including health care, retail, workplace, community and household settings, and the extent to which these promote, support or undermine breastfeeding; and/or the feeding of BMS and other foods in relation to availability, price, convenience, safety and quality, and exposure to marketing. |
|
| The mother's age, weight, education, socio‐economic status and confidence, and her baby's sex, wellbeing, and temperament influence feeding decisions; this includes moment‐by‐moment interactions and perceptions (e.g. if her baby is satisfied and content), and the internalisation of other first‐food system influences and structural forces. |
|
| The degree to which governance arrangements, policies, regulations and knowledge systems support, promote and protect breastfeeding at all levels; this includes the degree to which breastfeeding is prioritised, and to which laws, policies and programmes are developed, resourced, implemented, monitored and enforced, and sustained over time. |
FIGURE 1Commercial milk formula category sales volumes (kg) per child by World Bank country income‐level, 2005–2019, with projections to 2024
FIGURE 2Commercial milk formula category sales volumes (kg) per child by UNICEF region, 2005–2019, with projections to 2024
FIGURE 3Country milk formula category sales volumes (kg) per child in 2019 v. 14‐year compounding annual growth rate (CAGR; %) for 2005–2019; weighted markers represent infant/child population sizes
Commercial milk formula category sales volumes (kg) per child (c) in 2019, with 2005–19 compounding annual growth rates (CAGR; %), and historical and projected period growth rates (%), by country income group, region, and all countries combined
| Markets | Standard (0–6 months) | Follow‐up (7–12 months) | Toddler (12–36 months) | Special (0–6 months) | Total (0–36 months) | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019 (kg/c) | CAGR 2005–2019 (%) | Δ2005–2019 (%) | Δ2019–2024 (%) | 2019 (kg/c) | CAGR 2005–2019 (%) | Δ2005–2019 (%) | Δ2019–2024 (%) | 2019 (kg/c) | CAGR 2005–2019 (%) | Δ2005–2019 (%) | Δ2019–2024 (%) | 2019 (kg/c) | CAGR 2005–2019 (%) | Δ2005–2019 (%) | Δ2019–2024 (%) | 2019 (kg/c) | CAGR 2005–2019 (%) | Δ2005–2019 (%) | Δ2019–2024 (%) | ||
| Income | HICs ( | 29.0 | −0.1 | 4.5 | −2.1 | 16.7 | 1.0 | 21.4 | 0.8 | 7.0 | 6.6 | 147.7 | 10.6 | 11.8 | 1.7 | 33.8 | 9.9 | 14.2 | 2.1 | 36.1 | 5.0 |
| UMICs ( | 15.7 | 7.6 | 172.5 | 18.3 | 17.2 | 7.4 | 166.2 | 21.3 | 7.6 | 9.6 | 248.9 | 21.3 | 2.7 | 12.5 | 406.3 | 70.4 | 10.9 | 8.6 | 206.9 | 22.2 | |
| LMICs ( | 3.6 | 2.7 | 41.0 | 10.1 | 3.8 | 3.4 | 54.3 | 11.3 | 3.6 | 8.6 | 203.9 | 13.9 | 0.3 | 4.5 | 80.8 | 21.8 | 3.7 | 6.1 | 122.3 | 12.9 | |
| Region | East Asia & Pacific | 19.7 | 6.6 | 143.1 | 15.0 | 20.6 | 6.7 | 145.5 | 17.5 | 14.7 | 10.3 | 287.8 | 22.0 | 2.3 | 11.2 | 342.8 | 78.6 | 16.9 | 8.7 | 215.2 | 21.1 |
| Eastern & Southern Africa | 8.2 | 4.9 | 79.9 | 4.6 | 6.9 | 4.0 | 59.5 | −1.9 | 0.6 | 3.2 | 37.5 | −2.5 | 2.4 | 5.1 | 83.3 | −3.1 | 3.3 | 4.4 | 63.0 | 2.7 | |
| Eastern Europe & Central Asia | 8.7 | 3.3 | 42.7 | 14.7 | 14.5 | 4.2 | 61.6 | 17.8 | 0.9 | 9.5 | 199.1 | 34.8 | 2.5 | 4.2 | 62.6 | 22.1 | 4.8 | 4.4 | 57.0 | 19.3 | |
| Latin America & Caribbean | 7.1 | 2.6 | 50.3 | 1.1 | 7.0 | 2.0 | 37.5 | 6.6 | 4.0 | 4.2 | 87.9 | 8.8 | 3.2 | 11.8 | 396.7 | 33.3 | 5.5 | 3.7 | 75.6 | 8.6 | |
| Middle East & North Africa | 11.8 | 5.1 | 56.9 | 19.5 | 9.7 | 6.1 | 80.8 | 19.9 | 2.6 | 9.2 | 149.5 | 27.6 | 2.3 | 10.8 | 231.8 | 28.6 | 5.6 | 6.8 | 86.8 | 23.5 | |
| North America | 23.5 | −2.6 | −24.8 | −13.1 | 1.3 | 0.3 | 12.4 | −1.1 | 1.1 | 3.6 | 67.7 | −12.2 | 19.0 | 0.4 | 14.0 | −1.1 | 8.1 | −1.0 | −10.0 | −7.2 | |
| South Asia | 1.5 | 0.3 | 9.1 | 6.6 | 1.3 | 3.4 | 66.9 | 24.5 | 0.4 | 3.4 | 67.6 | 27.4 | 0.0 | 5.1 | 108.1 | 53.6 | 0.7 | 2.2 | 42.3 | 18.7 | |
| West & Central Africa | 1.9 | 2.6 | 8.8 | 43.1 | 1.1 | 5.3 | 56.5 | 39.2 | 0.1 | 5.1 | 47.3 | 38.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 3.5 | 21.1 | 41.8 | |
| Western Europe | 29.0 | 0.9 | 17.8 | 0.6 | 24.4 | 0.3 | 8.2 | −1.1 | 6.0 | 2.5 | 40.8 | 1.4 | 7.2 | 3.0 | 56.2 | 22.0 | 14.0 | 1.3 | 21.0 | 2.5 | |
| All countries ( | 10.8 | 3.3 | 54.5 | 8.0 | 9.9 | 4.7 | 86.5 | 11.8 | 5.4 | 8.7 | 210.0 | 15.4 | 2.5 | 4.2 | 75.0 | 30.4 | 7.4 | 5.8 | 115.5 | 13.6 | |
Abbreviations: HICs – high‐income countries; UMICs – upper‐middle income countries; LMICs – lower‐middle income countries; CAGR – or compounding annual growth rate, represents the mean annual growth rate over the period; Δ – or delta, represents the total percentage change over the period.