Summary Background Quantification of the disease burden caused by different risks informs prevention by providing an account of health loss different to that provided by a disease-by-disease analysis. No complete revision of global disease burden caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time. Methods We estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010. We estimated exposure distributions for each year, region, sex, and age group, and relative risks per unit of exposure by systematically reviewing and synthesising published and unpublished data. We used these estimates, together with estimates of cause-specific deaths and DALYs from the Global Burden of Disease Study 2010, to calculate the burden attributable to each risk factor exposure compared with the theoretical-minimum-risk exposure. We incorporated uncertainty in disease burden, relative risks, and exposures into our estimates of attributable burden. Findings In 2010, the three leading risk factors for global disease burden were high blood pressure (7·0% [95% uncertainty interval 6·2–7·7] of global DALYs), tobacco smoking including second-hand smoke (6·3% [5·5–7·0]), and alcohol use (5·5% [5·0–5·9]). In 1990, the leading risks were childhood underweight (7·9% [6·8–9·4]), household air pollution from solid fuels (HAP; 7·0% [5·6–8·3]), and tobacco smoking including second-hand smoke (6·1% [5·4–6·8]). Dietary risk factors and physical inactivity collectively accounted for 10·0% (95% UI 9·2–10·8) of global DALYs in 2010, with the most prominent dietary risks being diets low in fruits and those high in sodium. Several risks that primarily affect childhood communicable diseases, including unimproved water and sanitation and childhood micronutrient deficiencies, fell in rank between 1990 and 2010, with unimproved water we and sanitation accounting for 0·9% (0·4–1·6) of global DALYs in 2010. However, in most of sub-Saharan Africa childhood underweight, HAP, and non-exclusive and discontinued breastfeeding were the leading risks in 2010, while HAP was the leading risk in south Asia. The leading risk factor in Eastern Europe, most of Latin America, and southern sub-Saharan Africa in 2010 was alcohol use; in most of Asia, North Africa and Middle East, and central Europe it was high blood pressure. Despite declines, tobacco smoking including second-hand smoke remained the leading risk in high-income north America and western Europe. High body-mass index has increased globally and it is the leading risk in Australasia and southern Latin America, and also ranks high in other high-income regions, North Africa and Middle East, and Oceania. Interpretation Worldwide, the contribution of different risk factors to disease burden has changed s...

Background: To determine the relationship between country level prevalence of interpersonal violence (IPV) and the prevalence of early childhood caries (ECC) in children aged 3-5-year-olds. Method: This was an ecological study using extracted IPV (physical, sexual and emotional) and ECC data for 3-5-year-olds in 20 low-and middle-income countries for the period 2007-2017. Linear regression analysis was used to assess the relationship between the percentage of 3-5-year-old children with ECC (outcome variable) and the four IPV indicators (physical, sexual, emotional and a combination of the three). The model was adjusted for the country's Gross National Income GNI. Partial eta squared (as measure of effect size), regression coefficients, confidence intervals and p values were calculated. Results: The strongest association was between ECC prevalence and exposure to physical violence (partial eta squared= 0.01), followed by exposure to sexual violence (partial eta squared= 0.005), and exposure to all types of IPV combined (partial eta squared= 0.001). Exposure to emotional violence had the weakest association with ECC (partial eta squared < 0.0001). For 1% higher percentage of women reporting exposure to physical violence and percentage of women reporting all types of IPV combined, there was a 0.18% higher prevalence of ECC. For 1% higher prevalence of sexual violence, there was 0.22% higher ECC prevalence. For 1% higher prevalence of emotional violence, there was 0.04% higher ECC prevalence. Conclusions: Countries with high prevalence of IPV will likely also have high prevalence of ECC. This needs further studies.

Karen Devries and colleagues conduct a systematic review of longitudinal studies to evaluate the direction of association between symptoms of depression and intimate partner violence. Please see later in the article for the Editors' Summary

There is a clear positive association between alcohol use and intimate partner physical or sexual violence victimization among women, suggesting a need for programming and research that addresses this link. However, the temporal direction of the association remains unclear. Longitudinal studies with multiple waves of data collection are needed.

SummaryBackgroundViolence against children from school staff is widespread in various settings, but few interventions address this. We tested whether the Good School Toolkit—a complex behavioural intervention designed by Ugandan not-for-profit organisation Raising Voices—could reduce physical violence from school staff to Ugandan primary school children.MethodsWe randomly selected 42 primary schools (clusters) from 151 schools in Luwero District, Uganda, with more than 40 primary 5 students and no existing governance interventions. All schools agreed to be enrolled. All students in primary 5, 6, and 7 (approximate ages 11–14 years) and all staff members who spoke either English or Luganda and could provide informed consent were eligible for participation in cross-sectional baseline and endline surveys in June–July 2012 and 2014, respectively. We randomly assigned 21 schools to receive the Good School Toolkit and 21 to a waitlisted control group in September, 2012. The intervention was implemented from September, 2012, to April, 2014. Owing to the nature of the intervention, it was not possible to mask assignment. The primary outcome, assessed in 2014, was past week physical violence from school staff, measured by students' self-reports using the International Society for the Prevention of Child Abuse and Neglect Child Abuse Screening Tool—Child Institutional. Analyses were by intention to treat, and are adjusted for clustering within schools and for baseline school-level means of continuous outcomes. The trial is registered at clinicaltrials.gov, NCT01678846.FindingsNo schools left the study. At 18-month follow-up, 3820 (92·4%) of 4138 randomly sampled students participated in a cross-sectional survey. Prevalence of past week physical violence was lower in the intervention schools (595/1921, 31·0%) than in the control schools (924/1899, 48·7%; odds ratio 0·40, 95% CI 0·26–0·64, p<0·0001). No adverse events related to the intervention were detected, but 434 children were referred to child protective services because of what they disclosed in the follow-up survey.InterpretationThe Good School Toolkit is an effective intervention to reduce violence against children from school staff in Ugandan primary schools.FundingMRC, DfID, Wellcome Trust, Hewlett Foundation.