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This paper aims to introduce a method for mapping local service provision to local demographic and health outcome data, to inform evidence-based policy and practice in public health. A mapping exercise was conducted in London, England with the aims of: (1) describing services provided for breastfeeding women in primary and tertiary health care sectors and government, voluntary and private sectors; and (2) linking this information with routine data on deprivation, breastfeeding rates and health outcomes. Quantitative data on local breastfeeding services were collected via an online questionnaire by a designated 'mapping lead' in each locality. Data were collected at the level of individual health care organisations on the provision, nature and management of breastfeeding services, and related organisational inputs such as leadership, staffing, accreditation and policy. Demographic and health outcome data were identified from existing routine national data collections. Ninety-one per cent of eligible acute and primary care organisations participated in the mapping exercise. A range of mapping tools and profile were developed and launched in 2009 (). These tools can be used for descriptive analyses of service provision on the basis of local need. Comparative analyses on the impact of service provision on breastfeeding or health outcomes will be feasible from 18 months of data collection onwards. This case study has demonstrated the potential utility of this mapping method to inform effective implementation and evaluation of public health policy in practice consistent with the World Health Organisation framework. Formal evaluation of the utility of the tools is recommended. [ABSTRACT FROM AUTHOR]

Dietary intake during pregnancy may influence child neurodevelopment and cognitive function. This study aims to investigate the associations between dietary patterns obtained in pregnancy and intelligence quotients (IQ) among offspring at 8 years of age. Pregnant women enrolled in the Avon Longitudinal Study of Parents and Children completed a food frequency questionnaire at 32 weeks' gestation ( n = 12,195). Dietary patterns were obtained by cluster analysis. Three clusters best described women's diets during pregnancy: 'fruit and vegetables,' 'meat and potatoes,' and 'white bread and coffee.' The offspring's IQ at 8 years of age was assessed using the Wechsler Intelligence Scale for Children. Models, using variables correlated to IQ data, were performed to impute missing values. Linear regression models were employed to investigate associations between the maternal clusters and IQ in childhood. Children of women who were classified in the meat and potatoes cluster and white bread and coffee cluster during pregnancy had lower average verbal (β = −1.74; p < .001 and β = −3.05; p < .001), performance (β = −1.26; p = .011 and β = −1.75; p < .001), and full-scale IQ (β = −1.74; p < .001 and β = −2.79; p < .001) at 8 years of age when compared to children of mothers in the fruit and vegetables cluster in imputed models of IQ and all confounders, after adjustment for a wide range of known confounders including maternal education. The pregnant women who were classified in the fruit and vegetables cluster had offspring with higher average IQ compared with offspring of mothers in the meat and potatoes cluster and white bread and coffee cluster. [ABSTRACT FROM AUTHOR]