Search Results - "Greenwood, C.J."

Early risk and protective factors for problem gambling: A systematic review and meta-analysis of longitudinal studies by Dowling, N.A., Merkouris, S.S., Greenwood, C.J., Oldenhof, E., Toumbourou, J.W., Youssef, G.J.

“…This systematic review aimed to identify early risk and protective factors (in childhood, adolescence or young adulthood) longitudinally associated with the…”
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Trends in body condition in polar bears ( Ursus maritimus ) from the Southern Hudson Bay subpopulation in relation to changes in sea ice by Obbard, M.E., Cattet, M.R.L., Howe, E.J., Middel, K.R., Newton, E.J., Kolenosky, G.B., Abraham, K.F., Greenwood, C.J.

“…Sea ice is declining over much of the Arctic. In Hudson Bay the ice melts completely each summer, and advances in break-up have resulted in longer ice-free…”
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Alcohol use among Australian parents during the COVID-19 pandemic – April-2020 to May 2021 by Greenwood, C.J., Fuller-Tyszkiewicz, M., Hutchinson, D.M., Macdonald, J.A., Bereznicki, H.G.K., Youssef, G.J., Westrupp, E.M.

“…•There was a decline in alcohol frequency across April-2020 to May 2021 in Australia.•There were differences in trajectory shape between Victoria and other…”
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Psychosocial predictors of binge-drinking residual harm in adolescence and young adulthood: Findings from the Australian Temperament Project by Greenwood, C.J., Youssef, G.J., Fuller-Tyszkiewicz, M., Letcher, P., Macdonald, J.A., Hutchinson, D.M., Spry, E.A., Sanson, A., Toumbourou, J.W., Biden, E.J., Olsson, C.A.

“…•Residual harm defined as variation in alcohol harms given binge-drinking frequency.•Mental health, social skills, and relationship qualities were important…”
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Exploring a causal model in observational cohort data: The role of parents and peers in shaping substance use trajectories by Greenwood, C.J., Youssef, G.J., Letcher, P., Spry, E.A., Thomson, K.C., Hagg, L.J., Hutchinson, D.M., Macdonald, J.A., McIntosh, J., Sanson, A., Toumbourou, J.W., Olsson, C.A.

“…•Latent curve models were fitted for substance use from age 15–16 to 27–28 years.•We used a counterfactual framework to explore a causal model in observational…”
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A comparison of longitudinal modelling approaches: Alcohol and cannabis use from adolescence to young adulthood by Greenwood, C.J, Youssef, G.J, Betts, K.S, Letcher, P, Mcintosh, J, Spry, E, Hutchinson, D.M, Macdonald, J.A, Hagg, L.J, Sanson, A, Toumbourou, J.W, Olsson, C.A

“…•Comparison of latent curve and mixture models using substance use data.•Interrogating and modelling appropriate data distributions was critical.•Mixture…”
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