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- Yildiz, B, et al.
(författare)
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Live well, die well - an international cohort study on experiences, concerns and preferences of patients in the last phase of life: the research protocol of the iLIVE study
- 2022
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Ingår i: BMJ OPEN. - : BMJ. - 2044-6055. ; 12:8
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Adequately addressing the needs of patients at the end of life and their relatives is pivotal in preventing unnecessary suffering and optimising their quality of life. The purpose of the iLIVE study is to contribute to high-quality personalised care at the end of life in different countries and cultures, by investigating the experiences, concerns, preferences and use of care of terminally ill patients and their families.Methods and analysisThe iLIVE study is an international cohort study in which patients with an estimated life expectancy of 6 months or less are followed up until they die. In total, 2200 patients will be included in 11 countries, that is, 200 per country. In addition, one relative per patient is invited to participate. All participants will be asked to fill in a questionnaire, at baseline and after 4 weeks. If a patient dies within 6 months of follow-up, the relative will be asked to fill in a post-bereavement questionnaire. Healthcare use in the last week of life will be evaluated as well; healthcare staff who attended the patient will be asked to fill in a brief questionnaire to evaluate the care that was provided. Qualitative interviews will be conducted with patients, relatives and healthcare professionals in all countries to gain more in-depth insights.Ethics and disseminationThe cohort study has been approved by ethics committees and the institutional review boards (IRBs) of participating institutes in all countries. Results will be disseminated through the project website, publications in scientific journals and at conferences. Within the project, there will be a working group focusing on enhancing the engagement of the community at large with the reality of death and dying.Trial registration numberNCT04271085.
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| 2. |
- Bonn, SE, et al.
(författare)
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Correlates of Leisure Time Physical Inactivity in a Scandinavian Population: A Basis for Interventions
- 2016
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Ingår i: Journal of physical activity & health. - : Human Kinetics. - 1543-5474 .- 1543-3080. ; 13:11, s. 1236-1242
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Tidskriftsartikel (refereegranskat)abstract
- Effective interventions are needed to increase physical activity in the general population. To target interventions, we need knowledge of insufficiently active groups in society. This study aims to identify demographic and health-related correlates of leisure-time physical inactivity in a general Scandinavian population.Methods:Study participants comprised 5734 control subjects, age 18 to 70 years, from 2 ongoing Swedish case-control studies. Participants self-reported their leisure-time physical activity level. The odds of being physically inactive were calculated using logistic regression.Results:A total of 42% of participants were classified as physically inactive during leisure time. A lower prevalence of inactivity was associated with middle age, higher education, having previous experience of sports participation, following a low glycemic index/Mediterranean diet and having a light physical workload. A high prevalence of inactivity was associated with greater age, high body mass index, smoking, never drinking alcohol, having children, having a weak social network or lower levels of emotional support, and a low vegetable intake.Conclusions:Several factors were associated with leisure-time physical inactivity. Directing interventions to target groups defined by specific factors associated with physical inactivity could be an efficient way to increase activity and improve health in the general population.
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| 3. |
- Delcoigne, B, et al.
(författare)
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Feasibility of reusing time-matched controls in an overlapping cohort
- 2018
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Ingår i: Statistical methods in medical research. - : SAGE Publications. - 1477-0334 .- 0962-2802. ; 27:6, s. 1818-1829
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Tidskriftsartikel (refereegranskat)abstract
- The methods developed for secondary analysis of nested case-control data have been illustrated only in simplified settings in a common cohort and have not found their way into biostatistical practice. This paper demonstrates the feasibility of reusing prior nested case-control data in a realistic setting where a new outcome is available in an overlapping cohort where no new controls were gathered and where all data have been anonymised. Using basic information about the background cohort and sampling criteria, the new cases and prior data are “aligned” to identify the common underlying study base. With this study base, a Kaplan–Meier table of the prior outcome extracts the risk sets required to calculate the weights to assign to the controls to remove the sampling bias. A weighted Cox regression, implemented in standard statistical software, provides unbiased hazard ratios. Using the method to compare cases of contralateral breast cancer to available controls from a prior study of metastases, we identified a multifocal tumor as a risk factor that has not been reported previously. We examine the sensitivity of the method to an imperfect weighting scheme and discuss its merits and pitfalls to provide guidance for its use in medical research studies.
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