Cohort profile: the 45 and up study. - Wikidata - wikimedia - TriplyDB

Cohort profile: the 45 and up study.

Cohort profile: the 45 and up study.

http://www.wikidata.org/entity/Q34690846

about

Traditional and Emerging Lifestyle Risk Behaviors and All-Cause Mortality in Middle-Aged and Older Adults: Evidence from a Large Population-Based Australian Cohort Factors relating to participation in follow-up to the 45 and up study in Aboriginal and non-Aboriginal individuals.Association of Continuity of Primary Care and Statin Adherence Erectile dysfunction severity as a risk marker for cardiovascular disease hospitalisation and all-cause mortality: a prospective cohort study Rationale, design and methods for a community-based study of clustering and cumulative effects of chronic disease processes and their effects on ageing: the Busselton healthy ageing study.The Study of the Prevention of Anal Cancer (SPANC): design and methods of a three-year prospective cohort study Frequent hospital admission of older people with chronic disease: a cross-sectional survey with telephone follow-up and data linkage Assessing Preventable Hospitalisation InDicators (APHID): protocol for a data-linkage study using cohort study and administrative data Ascertaining invasive breast cancer cases; the validity of administrative and self-reported data sources in Australia.Explaining health care expenditure variation: large-sample evidence using linked survey and health administrative data.Neighbourhood green space and the odds of having skin cancer: multilevel evidence of survey data from 267072 Australians.Adapting data collection methods in the Australian Life Histories and Health Survey: a retrospective life course study.Risk adjustment for smoking identified through tobacco use diagnoses in hospital data: a validation study What explains the quality and price of GP services? An investigation using linked survey and administrative data.Socioeconomic variation in incidence of primary and secondary major cardiovascular disease events: an Australian population-based prospective cohort study Variation in readmission and mortality following hospitalisation with a diagnosis of heart failure: prospective cohort study using linked data.Variation in the recording of common health conditions in routine hospital data: study using linked survey and administrative data in New South Wales, Australia.Using patients' experiences of adverse events to improve health service delivery and practice: protocol of a data linkage study of Australian adults age 45 and above.The relationship between body mass index and hospitalisation rates, days in hospital and costs: findings from a large prospective linked data study.Relationship between use of general practice and healthcare costs at the end of life: a data linkage study in New South Wales, Australia.Who uses glucosamine and why? A study of 266,848 Australians aged 45 years and older Visualising linked health data to explore health events around preventable hospitalisations in NSW Australia The Importance of Humidity in the Relationship between Heat and Population Mental Health: Evidence from Australia.Using Large-Scale Linkage Data to Evaluate the Effectiveness of a National Educational Program on Antithrombotic Prescribing and Associated Stroke Prevention in Primary Care.Maximum recovery after knee replacement--the MARKER study rationale and protocol.Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs.Home and community care services: a major opportunity for preventive health care On the impact of nonresponse in logistic regression: application to the 45 and Up study.Driving: a road to unhealthy lifestyles and poor health outcomes Body mass index and incident hospitalisation for cardiovascular disease in 158 546 participants from the 45 and Up Study.How weight change is modelled in population studies can affect research findings: empirical results from a large-scale cohort study.Early discontinuation of endocrine therapy for breast cancer: who is at risk in clinical practice?Robust data to close the gap: current vascular and maternal/newborn indicators as measures of progress in Aboriginal health in New South Wales.Internet-based treatment for older adults with depression and co-morbid cardiovascular disease: protocol for a randomised, double-blind, placebo controlled trial.Evaluating the effectiveness of a healthy lifestyle clinician in addressing the chronic disease risk behaviours of community mental health clients: study protocol for a randomised controlled trial Fruit and vegetable intake and body mass index in a large sample of middle-aged Australian men and women Smoking in migrants in New South Wales, Australia: report on data from over 100 000 participants in The 45 and Up Study.People with multiple unhealthy lifestyles are less likely to consult primary healthcare Parity, breastfeeding, and the subsequent risk of maternal type 2 diabetes.Methods used for successful follow-up in a large scale national cohort study in Thailand.

P2860

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P2860

Cohort profile: the 45 and up study.

http://www.wikidata.org/entity/Q34690846

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2007 nî lūn-bûn

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2007 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

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2007 թվականի սեպտեմբերին հրատարակված գիտական հոդված

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2007年の論文

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2007年論文

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2007年論文

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2007年論文

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2007年論文

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2007年論文

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2007年论文

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name

Cohort profile: the 45 and up study.

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Cohort profile: the 45 and up study.

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Cohort profile: the 45 and up study.

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type

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Cohort profile: the 45 and up study.

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Cohort profile: the 45 and up study.

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Cohort profile: the 45 and up study.

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Cohort profile: the 45 and up study.

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Cohort profile: the 45 and up study.

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International Journal of Epidemiology

P1476

Cohort profile: the 45 and up study.

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P2093

45 and Up Study Collaborators

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Adrian Bauman

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Freddy Sitas

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John Beard

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Julie Byles

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Lee Taylor

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Louisa Jorm

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Mark Harris

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Robert Cumming

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Sally Redman

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P2860

Mortality in relation to smoking: 50 years' observations on male British doctors

Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults

Merging and emerging cohorts: Not worth the wait

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10.1093/IJE/DYM184

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5

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37

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Bruce Armstrong

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2007-09-19T00:00:00Z

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2557061

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