The WHO recommends counselling on healthy eating, weight gain, and physical activity during antenatal care (ANC) and postnatal care (PNC), yet advice and information are often not tailored to women’s nutritional needs and contexts. The purpose of the gap analysis was to identify key elements related to the provision of maternal nutrition counselling during routine health contacts and provide programme considerations to strengthen quality service delivery.

A search of PubMed, Cochrane Library, CINAHL Plus and Scopus databases was conducted to retrieve studies from January 2010 to December 2021. Using inclusion criteria, quantitative, qualitative and mixed methods studies were included in the final gap analysis.

Low-, middle- and high-income country contexts.

Following application of gap analysis criteria, thirty-seven articles from sixteen countries were included in the analysis.

Gaps in delivery of maternal nutrition counselling include provider capacity building, frequency, content and delivery platforms. Globally, counselling on appropriate weight gain during pregnancy is often not delivered with the desired content nor quality, while targeted counselling to overweight and obese women was provided in several high-income country contexts. Delivery of maternal nutrition counselling through multiple delivery platforms demonstrated improvements in maternal diet and/or weight gain during pregnancy.

Strengthening the integration of maternal nutrition counselling into pre- and in-service curricula, routine health provider training, supportive supervision and provider mentoring is needed. Future efforts may consider generating global and regional weight gain guidelines and incorporating maternal nutrition counselling indicators as part of quality-of-care ANC/PNC standards and routine health systems.

The present study aimed to assess the effects of an early childhood nutrition counselling intervention on intelligence (as measured by the intelligence quotient (IQ)) at age 15–16 years.

A single-blind, cluster-randomised trial.

In 1998, in Southern Brazil, mothers of children aged 18 months or younger were enrolled in a nutrition counselling intervention (n 424). Counselling included encouragement and promotion of exclusive breast-feeding until 6 months of age and continued breast-feeding supplemented by protein-, lipid- and carbohydrate-rich foods after age 6 months up to age 2 years. The control group received routine feeding advice. In 2013, the fourth round of follow-up of these individuals, at the age of 15–16 years, was undertaken. IQ was assessed using the short form of the Wechsler Adult Intelligence Scale (WAIS-III). Mental disorders (evaluated using the Development and Well-Being Assessment (DAWBA)) and self-reported school failure, smoking and alcohol use were also investigated. Adjusted analyses were conducted using a multilevel model in accordance with the sampling process.

Adolescents, mean (sd) age of 15·4 (0·5) years (n 339).

Mean (sd) total IQ score was lower in the intervention group than the control group (93·4 (11·4) and 95·8 (11·2), respectively) but the association did not persist after adjustment. The prevalence of any mental disorders was similar between intervention and control groups (23·1 and 23·5 %, respectively). There were no differences between groups regarding school failure, smoking and alcohol use.

Nutrition counselling intervention in early childhood had no effect on intelligence measured during adolescence.

Dietary assessment has been used for certification to receive food supplements or other nutrition services and to provide feedback for educational purposes. The proportion of individuals correctly certified as eligible is a function of the amount of error that exists in the dietary measures and the level of dietary intake used to establish eligibility. Whether individuals are correctly counselled to increase or decrease the consumption of selected foods or nutrients is a function of the same factors. It is not clear, however, what percentage of individuals would be correctly classified under what circumstances. The objective of this study is to demonstrate the extent to which measurement error and eligibility criteria affect the accuracy of classification.

Hypothetical distributions of dietary intake were generated with varying degrees of measurement error. Different eligibility criteria were applied and the expected classification rates were determined using numerical methods.

Simulation study.

Cut points of dietary intake at decreasing levels below the 50th percentile of true intake were associated with lower sensitivity and predictive value positive rates, but higher specificity and predictive value negative rates. The correct classification rates were lower when two cut points of dietary intake were used. Using a single cut point that was higher than the targeted true consumption resulted in higher sensitivity but lower predictive value positive, and lower specificity but higher predictive value negative.

Current methods of dietary assessment may not be reliable enough to attain acceptable levels of correct classification. Policy-makers and educators must consider how much misclassification error they are willing to accept and determine whether more intensive methods are necessary.