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Results 1-10 of 14 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2014The relationship between functional health literacy and obstructive sleep apnea and its related risk factors and comorbidities in a population cohort of menLi, J.; Appleton, S.; Wittert, G.; Vakulin, A.; McEvoy, R.; Antic, N.; Adams, R.
2014The impact of low muscle mass definition on the prevalence of sarcopenia in older AustraliansYu, S.; Appleton, S.; Adams, R.; Chapman, I.; Wittert, G.; Visvanathan, T.; Visvanathan, R.
2014Understanding the evolution of multimorbidity: evidences from the North West Adelaide Health Longitudinal Study (NWAHS)Ruel, G.; Lévesque, J.; Stocks, N.; Sirois, C.; Kroger, E.; Adams, R.; Doucet, M.; Taylor, A.; Miranda, J.
2018Suitability of the Epworth Sleepiness Scale (ESS) for economic evaluation: an assessment of its convergent and discriminant validityKaambwa, B.; Mpundu-Kaambwa, C.; Adams, R.; Appleton, S.; Martin, S.; Wittert, G.
2013Prevalence of depression in patients with chest pain and non-obstructive coronary artery diseaseWheeler, A.; Schrader, G.; Tucker, G.; Adams, R.; Tavella, R.; Beltrame, J.
2015Comparison of anthropometric measures as predictors of cancer incidence: a pooled collaborative analysis of 11 Australian cohortsHarding, J.L.; Shaw, J.E.; Anstey, K.J.; Adams, R.; Balkau, B.; Brennan-Olsen, S.L.; Briffa, T.; Davis, T.M.; Davis, W.A.; Dobson, A.; Flicker, L.; Giles, G.; Grant, J.; Huxley, R.; Knuiman, M.; Luszcz, M.; MacInnis, R.J.; Mitchell, P.; Pasco, J.A.; Reid, C.; et al.
2013Weighting of the data and analytical approaches may account for differences in overcoming the inadequate representativeness of the respondents to the third wave of a cohort studyTaylor, A.; DalGrande, E.; Grant, J.; Appleton, S.; Gill, T.; Shi, Z.; Adams, R.
2010Comparing self-reported and measured high blood pressure and high cholesterol status using data from a large representative cohort studyTaylor, A.; DalGrande, E.; Gill, T.; Pickering, S.; Grant, J.; Adams, R.; Phillips, P.
2014Results from several population studies show that recommended scoring methods of the SF-36 and the SF-12 may lead to incorrect conclusions and subsequent health decisionsTucker, G.; Adams, R.; Wilson, D.
2012Associations between resident perceptions of the local residential environment and metabolic syndromeBaldock, K.; Paquet, C.; Howard, N.; Coffee, N.; Hugo, G.; Taylor, A.; Adams, R.; Daniel, M.