Unisanté Data repository

In response to growing interest in local action to promote public health and quality of life, this study explores how municipalities perceive their role in health promotion (HP), how far HP is integrated into municipal policies, and what support is needed to strengthen local action.

Active smoking remains a major confounding factor in occupational epidemiology studies. When individual smoking data are unavailable or incomplete in registry-based studies or retrospective analyses, indirect adjustment using job-exposure matrices (JEMs) provides an approach to control for smoking confounding based on occupational and demographic characteristics. The Swiss Job-Exposure Matrix for Active Smoking (SJEM-T) is a validated quantitative tool providing smoking probability estimates for specific occupational groups. The SJEM-T was developed using Swiss Health Survey data from four waves (2007, 2012, 2017, 2022), comprising approximately 60,000 workers. Smoking probabilities were estimated using logistic regression with current smoking status as the dependent variable, stratified by occupation (ISCO-88), sex, age group, and year. The matrix provides estimates for 12,160 unique strata. Dual validation (internal and criterion in independent cohorts) was performed.

Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) are ubiquitous in the environment and the main route of exposure for humans is food. A high and widespread soil contamination was discovered in 2021 in Lausanne city. Previous human exposure assessment study showed that consumption of home-produced eggs and cucurbits were dominant exposure scenarios. In the absence of epidemiological data in Switzerland, we conducted a cross-sectional study in 2023 to assess the difference between control (n=50) and exposed (n=51) groups, living in the contaminated area and reporting to consume selected home-produced foods (eggs and cucurbits). We sampled blood serum and asked the participants to fill several questionnaires on their lifestyle and dietary habits.

Bus drivers have mutliple ergonomic constraints in the bus cabin. In Switzerkand, we do not have information on the ergonomics of the bus cabin. To fill this gap, we created a Bus-Ergonomics Matrix (BERM) by analogy with the job-exposure matrix (JEM), assuming that the bus corresponds to their workstation. To do this, we first set up a protocol for measuring the ergonomics of bus drivers workstations, based on literature and work standards. Next, we created ergonomic scores divided according to regions of the human body (global, visual, biomechanical, shoulder girdles, upper body, back, lower body). The measurements were carried out on 10 buses representative of the evolution of the Swiss bus fleet. The scores were then modelled using integrated Laplace approximation (INLA) for the entire Swiss bus fleet.