Rates and time trends in the consumption of breastmilk, formula, and animal milk by children younger than 2 years from 2000 to 2019: analysis of 113 countries.

BACKGROUND: Previous analyses of trends in feeding indicators of children younger than 2 years have been limited to low-income and middle-income countries. We aimed to assess time trends in the consumption of different types of milk (breastmilk, formula, and animal milk) by children younger than 2 years from 2000 to 2019 at a global level. METHODS: In this time-series analysis, we combined cross-sectional data from 487 nationally representative surveys from low-income and middle-income countries and information from high-income countries to estimate seven infant and young child feeding indicators in up to 113 countries. Multilevel linear models were used in pooled analyses to estimate annual changes in feeding practices from 2000 to 2019 for country income groups and world regions. FINDINGS: For the absolute average annual changes, we found significant gains in any breastfeeding at age 6 months in high-income countries (1·29 percentage points [PPs] per year [95% CI 1·12 to 1·45]; p<0·0001) and at age 1 year in high-income countries (1·14 PPs per year [0·99 to 1·28]; p<0·0001) and upper-middle-income countries (0·53 PPs per year [0·23 to 0·82]; p<0·0001). We also found a small reduction in low-income countries for any breastfeeding at age 6 months (-0·07 PPs per year [-0·11 to -0·03]; p<0·0001) and age 1 year (-0·13 PPs per year [-0·18 to -0·09]; p<0·0001). Data on exclusive breastfeeding and consumption of formula and animal milk were only available for low-income and middle-income countries, where exclusive breastfeeding in the first 6 months of life increased by 0·70 PPs per year (0·51-0·88; p<0·0001) to reach 48·6% (41·9-55·2) in 2019. Exclusive breastfeeding increased in all world regions except for the Middle East and north Africa. Formula consumption in the first 6 months of life increased in upper-middle-income countries and in east Asia and the Pacific, Latin America and the Caribbean, the Middle East and north Africa, and eastern Europe and central Asia, whereas the rates remained below 8% in sub-Saharan Africa and south Asia. Animal milk consumption by children younger than 6 months decreased significantly (-0·41 PPs per year [-0·51 to -0·31]; p<0·0001) in low-income and middle-income countries. INTERPRETATION: We found some increases in exclusive and any breastfeeding at age 6 months in various regions and income groups, while formula consumption increased in upper-middle-income countries. To achieve the global target of 70% exclusive breastfeeding by 2030, however, rates of improvement will need to be accelerated. FUNDING: Bill & Melinda Gates Foundation, through WHO.

Ethnic group inequalities in coverage with reproductive, maternal and child health interventions: cross-sectional analyses of national surveys in 16 Latin American and Caribbean countries.

BACKGROUND: Latin American and Caribbean populations include three main ethnic groups: indigenous people, people of African descent, and people of European descent. We investigated ethnic inequalities among these groups in population coverage with reproductive, maternal, newborn, and child health interventions. METHODS: We analysed 16 standardised, nationally representative surveys carried out from 2004 to 2015 in Latin America and the Caribbean that provided information on ethnicity or a proxy indicator (household language or skin colour) and on coverage of reproductive, maternal, newborn, and child health interventions. We selected four outcomes: coverage with modern contraception, antenatal care coverage (defined as four or more antenatal visits), and skilled attendants at birth for women aged 15-49 years; and coverage with three doses of diphtheria-pertussis-tetanus (DPT3) vaccine among children aged 12-23 months. We classified women and children as indigenous, of African descent, or other ancestry (reference group) on the basis of their self-reported ethnicity or language. Mediating variables included wealth quintiles (based on household asset indices), woman's education, and urban-rural residence. We calculated crude and adjusted coverage ratios using Poisson regression. FINDINGS: Ethnic gaps in coverage varied substantially from country to country. In most countries, coverage with modern contraception (median coverage ratio 0·82, IQR 0·66-0·92), antenatal care (0·86, 0·75-0·94), and skilled birth attendants (0·75, 0·68-0·92) was lower among indigenous women than in the reference group. Only three countries (Nicaragua, Panama, and Paraguay) showed significant gaps in DPT3 coverage between the indigenous and the reference groups. The differences were attenuated but persisted after adjustment for wealth, education, and residence. Women and children of African descent showed similar coverage to the reference group in most countries. INTERPRETATION: The lower coverage levels for indigenous women are pervasive, and cannot be explained solely by differences in wealth, education, or residence. Interventions delivered at community level-such as vaccines-show less inequality than those requiring access to services, such as birth attendance. Regular monitoring of ethnic inequalities is essential to evaluate existing initiatives aimed at the inclusion of minorities and to plan effective multisectoral policies and programmes. FUNDING: The Bill & Melinda Gates Foundation (through the Countdown to 2030 initiative) and the Wellcome Trust.

The Inverse Equity Hypothesis: Analyses of Institutional Deliveries in 286 National Surveys.

OBJECTIVES: To test the inverse equity hypothesis, which postulates that new health interventions are initially adopted by the wealthy and thus increase inequalities-as population coverage increases, only the poorest will lag behind all other groups. METHODS: We analyzed the proportion of births occurring in a health facility by wealth quintile in 286 surveys from 89 low- and middle-income countries (1993-2015) and developed an inequality pattern index. Positive values indicate that inequality is driven by early adoption by the wealthy (top inequality), whereas negative values signal bottom inequality. RESULTS: Absolute inequalities were widest when national coverage was around 50%. At low national coverage levels, top inequality was evident with coverage in the wealthiest quintile taking off rapidly; at 60% or higher national coverage, bottom inequality became the predominant pattern, with the poorest quintile lagging behind. CONCLUSIONS: Policies need to be tailored to inequality patterns. When top inequalities are present, barriers that limit uptake by most of the population must be identified and addressed. When bottom inequalities exist, interventions must be targeted at specific subgroups that are left behind.