This study aimed at identifying the needs for the health workforce in 16 public health laboratories in the Serbian capital by assessing the workforce stock, workload activities, activity standards, and workload pressure.

A review of laboratory records and regulations, interviews with key respondents, and observing work processes provided data for the World Health Organization method for determining staffing needs based on workload indicators (Workload Indicators of Staffing Need, WISN).

A total of 99 laboratory workers spend almost 70% of their available working time in undertaking core activities. Core activities per sample can take from 0.25 to 180 min. Laboratory workers are under moderate or high workload pressure (the WISN ratio from 0.86 to 0.50). The WISN difference indicates a shortage of 22.22% of laboratory analysts and 20.63% of laboratory technicians. To balance the staffing to workload, these laboratories need an additional 8 FTE analysts and 13 FTE technicians. They could also consider selectively reducing workload pressure by automating some of the additional activities while maintaining the competence of laboratory workers and opportunities for professional development.

Staffing policy should account for work processes, activity standards, and workload pressure to determine necessary staffing to meet the need for laboratory services in the local context.

The present study aimed to identify the role of mother’s education in the nutritional status of children aged 2–5 years in Serbia.

Nationally representative population-based study. Age- and gender-specific BMI percentiles of children were analysed. In accordance with the WHO growth reference, children with BMI less than the 5th percentile were considered undernourished. Logistic regression was used to calculate the association between mother’s education and other socio-economic determinants as possible confounders.

UNICEF’s fourth Multiple Indicator Cluster Survey, conducted in both Roma and non-Roma settlements in Serbia.

Children (n 2603) aged 2–5 years (mean age 3·05 years).

Less than 5 % of children aged 2–5 years were undernourished. There were significantly more undernourished children among the Roma population, in the capital of Serbia and among those whose mothers were less educated. There were statistically significant differences according to mother’s education in all socio-economic characteristics (ethnicity, area, region of living and wealth index). Mother’s level of education proved to be the most important factor for child’s nutritional status; place of living (region) was also associated.

Mother’s education is the most significant predictor of children’s undernutrition. It confirms that investment in females’ education will bring benefits and progress not only for women and their children, but also for society as a whole.