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Applied Psychology. Health and Well-Being|September 7, 2024
Predicting alcohol consumption: Application of an integrated social cognition model of intentions, habits, and cue consistencyDanielle Simpson-Rojas, Daniel J Phipps, Kailas Jenkins, et al.Applied Psychology. Health and Well-Being|August 9, 2024
Socio-demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysisNahida Afroz, Enamul Kabir, Khorshed AlamApplied Psychology. Health and Well-Being|August 21, 2024
Developing a machine learning-based instrument for subjective well-being assessment on Weibo and its psychological significance: An evaluative and interpretive researchNuo Han, Yeye Wen, Bowen Wang, et al.Applied Psychology. Health and Well-Being|September 2, 2024
Loneliness, sleep and daily stress: Evidence of direct and indirect effectsDaryl B O'Connor, Olivia RogersonApplied Psychology. Health and Well-Being|July 20, 2024
Thought contagion? Conspiracy beliefs boost paranoid thoughtsZuzanna Molenda, Marta Marchlewska, Adam Karakula, et al.Applied Psychology. Health and Well-Being|June 28, 2024
A study on acute expectation effects on affective state and intention after a brief full-body workout in a student sampleBenedikt Hösl, Julia Straif, Martin Niedermeier, et al.Applied Psychology. Health and Well-Being|August 14, 2024
Subjective sleep may mediate the associations between tomorrow anticipations and next-day affectSoomi LeeApplied Psychology. Health and Well-Being|August 15, 2024
Remotely administered non-deceptive placebos reduce COVID-related stress, anxiety, and depressionDarwin A Guevarra, Christopher T Webster, Jade N Moros, et al.Applied Psychology. Health and Well-Being|August 11, 2024
Optimal modalities and doses of mind-body exercise for depressive symptoms in adults: A systematic review of paired analyses, network analyses and dose-response meta-analysesShudong Tian, Zhide Liang, Fanghui Qiu, et al.Applied Psychology. Health and Well-Being|June 8, 2024
Using machine learning to unveil relevant predictors of adherence to recommended health-protective behaviors during the COVID-19 pandemic in DenmarkLau Lilleholt, Gretchen B Chapman, Robert Böhm, et al.Pageof 82