J
Jennifer R. Powers
Researcher at University of Newcastle
Publications - 70
Citations - 2964
Jennifer R. Powers is an academic researcher from University of Newcastle. The author has contributed to research in topics: Longitudinal study & Population. The author has an hindex of 29, co-authored 70 publications receiving 2673 citations. Previous affiliations of Jennifer R. Powers include Royal Children's Hospital & Newcastle University.
Papers
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Journal ArticleDOI
Attrition in longitudinal studies : who do you lose?
TL;DR: The risk factors for various types of attrition in three age cohorts of women in a longitudinal study are described and strategies to minimise attrition are discussed.
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The sense of belonging to a neighbourhood: can it be measured and is it related to health and well being in older women?
TL;DR: Two sets of items that form valid measures of aspects of the social environment of older women, namely the sense of neighbourhood and feelings of safety are identified.
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Women drivers’ behaviour, socio-demographic characteristics and accidents
TL;DR: Findings support the need for road safety campaigns targeted at young women to reduce dangerous driving practices, such as speeding, 'tail gating' and overtaking on the inside.
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Effects of the heavy usage of kava on physical health: summary of a pilot survey in an aboriginal community.
John D. Mathews,Malcolm D. Riley,Lorna Fejo,Estrella Munoz,Nicholas R. Milns,Ian D. Gardner,Jennifer R. Powers,Elizabeth Ganygulpa,Bilin J. Gununuwawuy +8 more
TL;DR: There is a strong rationale for urgent social action to improve health in Aboriginal communities and, in particular, to reduce the consumption of kava and to improve the nutritional status of kAVA users.
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The impact of attrition in an 11-year prospective longitudinal study of younger women.
TL;DR: Investigating the impact of attrition on prevalence and associations between variables across four waves of a longitudinal study contributes to the growing body of evidence that suggests such biases are insufficient to preclude meaningful longitudinal analyses.