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Sara CausevicPostdoktor

Publikationer

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  • Prevalence and associated factors for poor mental health among young migrants in Sweden: a cross-sectional study

    2024. Sara Causevic (et al.). Global Health Action 17 (1)

    Artikel

    BACKGROUND Young migrants face multiple challenges that can affect their mental, sexual and reproductive health.OBJECTIVE To assess the prevalence of self-reported poor mental health and its associated demographic, post-migration and sexual risk behaviour factors among young migrants (aged 15–25) in Sweden.

    METHODS Data were drawn from a cross-sectional survey conducted with migrants aged 15–65 years old in Sweden between December 2018 and November 2019 (n = 6449). Among these, 990 participants aged 15–25 were eligible for the study. Mental health was measured using the Refugee Health Screener-13. Missing data indicator analysis and multivariable logistic regression models were conducted to estimate the association between mental health, sexual risk behaviour, demographic and migration-related variables.

    RESULTS Of the 990 participants, 59% reported poor mental health. Participants reporting poor mental health were more likely to be female (AOR:1.63, 95% CI:1.18–2.25), to have lived in Sweden more than three years (AOR:2.16, 95% CI:1.17–3.97), to engage in any sexual risk behaviour (AOR:1.99, 95% CI:1.25–3.17), and to live alone (AOR:1.95, 95% CI:1.25–3.03) or with friends they already knew (AOR:1.60, 95% CI:1.37–4.91). People arriving from the Americas (AOR:0.54, 95% CI:0.33–0.88), Asia (AOR:0.44, 95% CI:0.22–0.86), Europe (AOR:0.30, 95% CI:0.14–0.61) and Africa (AOR 0.37, 95% CI: 0.23–0.60) had lower odds of poor mental health than those arriving from Syria.

    CONCLUSION The prevalence of poor mental health among young migrants in Sweden was high, with specific subgroups (women, asylum seekers, people arriving from Syria, and those residing longer in Sweden) being particularly vulnerable. Our results indicate the interconnectedness between poor mental health and sexual risk behaviour in this population. Thus, policies targeting young migrants should ensure that healthcare services screen for both poor sexual and mental health at the same time.

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  • Artificial intelligence for sustainability: opportunities and risks of utilizing Earth observation technologies to protect forests

    2024. Amar Causevic (et al.). Discover Conservation 1 (1)

    Artikel

    Extreme heat, massive floods, and ever-longer droughts caused by climate change are intensifying in magnitude and intensity across the globe. Forests are threatened by increases in the average global temperature and human-driven economic activity. Artificial intelligence and Earth observation technologies present opportunities to improve environmental sustainability, promoting Sustainable Development Goals through more efficient forest management and stewardship. These technologies can potentially improve the mapping, understanding, and monitoring of forests’ ecosystem services, directly aiding humanity’s efforts to combat climate change. However, increased use of these technologies could also create new risks, making these efforts counterproductive. This perspective article identifies opportunities and risks of using artificial intelligence and Earth observation technologies to protect forests globally. It discusses how risks can be mitigated and what governance mechanisms should be used to design sustainable forest-focused artificial intelligence.

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