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Tayeb Mohammadi,Sara Orouei,Karim Parastouei et al. Tayeb Mohammadi et al.
Practical Application: This study highlights the effectiveness of machine learning algorithms in predicting mental health issues such as stress, anxiety, and depression by analyzing dietary patterns, lifestyle choices, and clinical parameters.
Kuo-Cheng Liu,Jian-Jia Huang,Yu-Cheng Pei et al. Kuo-Cheng Liu et al.
Background: Mixed receptive-expressive language disorder (MLD) may have long-term impacts on development, sociobehavioral problems, and mental health issues in children.
Kevin Hill,Zheala Qayyum,Cecil R Webster Jr Kevin Hill
Lesbian, gay, bisexual, transgender, queer or questioning, intersex, asexual, and other diverse gender and sexual identities (LGBTQIA+) youth have a disproportionately high risk of mental health issues such as depression, suicide, and substance use.
Jialiang Cui,Jialing Wu Jialiang Cui
For people with mental health issues (MHIs), the experience of being at home is widely recognised as a universal aspiration. Yet, research on home in the mental health context has largely marginalised the role of transitional accommodation.
Elvan Ulucan Özkan,Seval Bekiroğlu Elvan Ulucan Özkan
Conclusions: The study highlights the importance of these factors in understanding and managing the mental health issues of healthcare professionals, particularly those on the front lines staff during the times of global health crises.
Lin Luo,Junfeng Yuan,Chen Xu et al. Lin Luo et al.
Objective: This study aimed to explore the relationship between meeting the 24-hour movement guidelines (24-HMG) health behavior combinations and the risk of social network addiction (SNA) as well as mental health issues among university students.
Angélica Meinhofer,Lindsey Rose Bullinger,Caroline Hope Kelly et al. Angélica Meinhofer et al.
Importance: Children experiencing parental opioid use disorder are a growing population at heightened risk of physical and mental health issues over the life course.
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