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Frontiers in Public Health|March 26, 2025
Longitudinal relationships between daily activities, depressive symptoms, anxiety, and suicidality during the COVID-19 pandemic: a three-wave cross-lagged studyJuhee Choi, Gaeun Son, Kee-Hong Choi
Frontiers in Public Health|March 24, 2025
Musicians, the music industry, and suicide: epidemiology, risk factors, and suggested prevention approachesGeorge Musgrave, Dorian A Lamis
Frontiers in Public Health|March 26, 2025
A patient-reported questionnaire for evaluating utilization of the National Essential Public Health Service Program in China among older adults with hypertension and diabetesLu Liu, Meicen Liu, Linghe Yang, et al.
Frontiers in Public Health|March 26, 2025
Community engagement approaches and lessons learned: a case study of the PRECISE pregnancy cohort study in KenyaOnesmus Wanje, Angela Koech, Mai-Lei Woo Kinshella, et al.
Frontiers in Public Health|March 26, 2025
Factors influencing the length of hospital stay of people experiencing homelessnessRenate Karpenko, Sonia Lech, Liane Schenk, et al.
Frontiers in Public Health|March 27, 2025
Profiling adolescent participation in wildlife activities and its implications on mental health: evidence from the Young-HUNT study in NorwaySkender Elez Redzovic, Ingvill Jeanette Hektoen Johansen, Tore Bonsaksen
Frontiers in Public Health|March 27, 2025
Assessing informal healthcare providers' knowledge of diagnosis and treatment of malaria and diarrhea: evidence from urban informal settlements in Southeast NigeriaIfeyinwa Arize, Joy Ozughalu, Bernard Okechi, et al.
Frontiers in Public Health|March 27, 2025
Post-infection symptoms up to 24 months after COVID-19: a matched cohort study in Berlin, GermanyAnne Meierkord, Daniel Schulze, Maximilian Gertler, et al.
Frontiers in Public Health|March 27, 2025
One-year post lockdown trajectories of mental health and impact of COVID-19 lockdown-related factorsMathilde Mongeau, Samantha Huo Yung Kai, Vanina Bongard, et al.
Frontiers in Public Health|March 27, 2025
Development of a visualized risk prediction system for sarcopenia in older adults using machine learning: a cohort study based on CHARLSJinsong Du, Xinru Tao, Le Zhu, et al.
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