Gestational weight gain (GWG) is an important indicator of maternal nutrition to be monitored during pregnancy. However, there is no evidence-based tool that can be used to monitor it across all geographic locations and pre-pregnancy body mass index (BMI) categories. The WHO is undertaking a project to develop GWG charts by pre-pregnancy BMI category, and to identify GWG ranges associated with the lowest risks of adverse maternal and infant outcomes. This protocol describes all the steps that will be used to accomplish the development of these GWG charts.

This project will involve the analysis of individual participant data (researcher-collected or administrative). To identify eligible datasets with GWG data, a literature review will be conducted and a global call for data will be launched by the WHO. Eligible individual datasets obtained from multiple sources will be harmonised into a pooled database. The database will undergo steps of cleaning, data quality assessment and application of individual-level inclusion criteria. Heterogeneity of maternal weight and GWG will be assessed to verify the possibility of combining datasets from multiple sources and regions into a single database. Generalized Additive Models for Location, Scale and Shape will be applied for the construction of the centile curves. Diagnostic measures, internal and external validation procedures will also be performed.

This project will include an analysis of existing study de-identified data. To be included in the pooled database, each included study should have received ethics approvals from relevant committees. Manuscripts will be submitted to open-access journals and a WHO document will be published, including the GWG charts and cut-offs for application in antenatal care.

To assess the magnitude and associated factors of suicidal behaviour and non-suicidal self-injury (NSSI) among youth of the Gurage Zone, Southern Nations, Nationalities, and Peoples Regional, Ethiopia, 2024.

A community-based cross-sectional study was conducted.

This research was carried out in the Gurage Zone.

This study was conducted among 719 Gurage Zone youths from 1 January 2024 to 1 February 2024.

Suicidal behaviours and non-suicidal self-injury were assessed using a pretested, interviewer-administered, structured questionnaire. Data were entered in EpiData V,3.1 and exported to SPSS V.25 for analysis. A binary logistic regression model was used to identify significant factors associated with suicidal behaviours and NSSI. Variables with a p-value less than 0.05 and adjusted ORs with 95% CI were used to declare association with the outcome variable in the final model.

Out of the total 820 study participants, 719 participants participated in the study, giving a response rate of 88%. Among 719 respondents 465 (64.7%) were males. The prevalence of high risk of suicidal behaviours was 11.7% (95% CI 8.14 to 14.30) and it is significantly associated with substance use in the last 3 months (adjusted OR (AOR)=6.84; 95% CI 3.48 to 13.47), having moderate insomnia (AOR=3.09; 95% CI 1.30 to 7.31) and having depression (AOR=6.84; 95% CI 3.48 to 13.47).

The prevalence of NSSI among youths was 38% (95% CI 34.52 to 41.86). Substance use in the last 3 months (AOR=2.459; 95% CI 1.59 to 3.81), youths having depression (AOR=3.348; 95% CI 2.29 to 4.91), youths who were exposed to stressful life events (AOR=9.86; 95% CI 6.46 to 15.07) were significantly associated with NSSI.

Nearly 1 in 10 youths in the Gurage Zone exhibited high-risk suicidal behaviour, and over one-third reported NSSI. Suicidal behaviour was significantly associated with substance use, depression and moderate insomnia, while NSSI was significantly associated with substance use, depression and exposure to stressful life events. These findings highlight the prevalence of self-harm and the key factors associated with these behaviours among youth in this region.