Sales of tobacco and nicotine replacement therapy products, especially nicotine pouches, increased in Finland during the COVID-19 pandemic.

Some previous studies suggest that the consumption of tobacco and nicotine products overall declined during the COVID-19 pandemic, but the results are mixed. We investigated tobacco and nicotine product sales in Finland, including the sales of nicotine replacement therapy (NRT). Our particular focus was on nicotine pouches used as NRT.

Predictive modeling for identification of older adults with high utilization of health and social services.

Aim: Machine learning techniques have demonstrated success in predictive modeling across various clinical cases. However, few studies have considered predicting the use of multisectoral health and social services among older adults. This research aims to utilize machine learning models to detect high-risk groups of excessive health and social services utilization at early stage, facilitating the implementation of preventive interventions.

Citizens' digital footprints to support health promotion at the local level-PUHTI study, Finland.

Background: We aimed to explore to the possibilities of utilizing automatically accumulating data on health-owned for example by local companies and non-governmental organizations-to complement traditional health data sources in health promotion work at the local level.

Methods: Data for the PUHTI study consisted of postal code level information on sport license holders, drug purchase and sales advertisements in a TOR online underground marketplace, and grocery sales in Tampere. Additionally, open population register data were utilized.