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https://www.selleckchem.com/products/ik-930.html To assess intervention impact by group, we used an intention-to-treat analysis, comparing men in each masculinity class, by intervention and control arm, using generalized estimating equations reporting unadjusted and adjusted odds ratios (aORs). In total 674 were recruited at baseline, and the LCA identified three classes of men high violence (29% of men), medium violence (50% of men) and low violence (21% of men). Multinomial models showed those in more violent classes were more supportive of violence, had more adverse experiences, more depression and had worked more. By masculinity class, the impact of SS-CF showed reductions among the most violent men, with significant reductions in past year physical IPV (aOR0.59, p = 0.014), emotional IPV (aOR0.44, p = 0.044) and economic IPV (aOR0.35, p = 0.004), with non-significant reductions among other classes of men. This analysis suggests intensive group-based interventions can have significant impacts on the most violent men in communities. There are increasing worries that lockdowns and 'stay-at-home' orders due to the COVID-19 pandemic could lead to a rise in loneliness, which is recognised as a major public health concern. But profiles of loneliness during the pandemic and risk factors remain unclear. The current study aimed to examine if and how loneliness levels changed during the strict lockdown and to explore the clustering of loneliness growth trajectories. Data from 38,217 UK adults in the UCL COVID -19 Social Study (a panel study collecting data weekly during the pandemic) were analysed during the strict lockdown period in the UK (23/03/2020-10/05/2020). The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and geographical location. Growth mixture modelling was used to identify the latent classes of loneliness growth trajectories and their predictors. Analyses revealed four classes, with the baseline lonelin

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