Results 21 to 30 of about 20,558,778 (308)

The Impact of Migraine on Health Status [PDF]

Headache: The Journal of Head and Face Pain, 1995
Problems.‐What is the effect of migraine on health status, defined as the patient's physical, psychological, and social functioning? And, suppose that the health status of migraine sufferers appears to be impaired, to what extent is this a consequence of migraine‐associated comorbidity rather than of migraine itself? Methods.‐A group of 846 migraineurs,
Essink-Bot, M.L., Royen, L. van, Krabbe, P.F.M., Bonsel, G.J., Rutten, F.F.H.   +4 more
openaire   +5 more sources

Self-rated health and employment status in patients with multiple sclerosis [PDF]

, 2010
Purpose. The aim is to explore the association between self-rated health and employment status in patients with multiple sclerosis (MS) when controlling for age, gender, functional disability, disease duration, anxiety and depression. Method. One hundred
Van Dijk, Jitse P., van Dijk, J.P., Gdovinova, Zuzana, Gavelova, M., Middel, B., Gavelova, Miriam, Middel, Berrie, Gdovinova, Z., Nagyova, Iveta, Rosenberger, Jaroslav, Krokavcova, Martina, Krokavcova, M., Nagyova, I., Groothoff, J.W., Szilasiova, J., Szilasiova, Jarmila, Rosenberger, J., Groothoff, Johan W.   +17 more
core   +2 more sources

Health status and the allocation of time [PDF]

Health Economics, 2009
SUMMARYWe consider the relationship between health and time allocation in the American Time Use Survey. Better health is associated with large positive effects on home production and larger positive effects on market production, but less consumption of leisure.
Melinda Podor, Timothy Halliday
openaire   +5 more sources

Cardiometabolic disease risk and HIV status in rural South Africa : establishing a baseline [PDF]

, 2015
BackgroundL To inform health care and training, resource and research priorities, it is essential to establish how non-communicable disease risk factors vary by HIV-status in high HIV burden areas; and whether long-term anti-retroviral therapy (ART ...
Houle, Brian, Tollman, Stephen, Tollman, Stephen,, Thorogood, Margaret, Clark, Samuel J., Clark, Samuel J, Angotti, Nicole, Gómez-Olivé, F. Xavier, Menken, Jane, Klipstein-Grobusch, Kerstin, Kabudula, Chodziwadziwa, Houle, Brian C, Kabudula, Chodziwadziwa W., Williams, Jill   +13 more
core   +2 more sources

Measuring health inequality among children in developing countries: does the choice of the indicator of economic status matter? [PDF]

, 2003
Background: Currently, poor-rich inequalities in health in developing countries receive a lot of attention from both researchers and policy makers. Since measuring economic status in developing countries is often problematic, different indicators of ...
Houweling, A.J. (Tanja), Johan P Mackenbach, Mackenbach Johan P, Houweling, AJ, Kunst, A.E. (Anton), Mackenbach, Johan, Kunst, A.E., Houweling, Tanja, Kunst, AE, Kunst Anton E, Houweling Tanja AJ, Houweling, Tanja A. J., Mackenbach, JP, Anton E Kunst, Kunst, Anton E., Mackenbach, J.P., Houweling, T.A.J., Mackenbach, Johan P., Kunst, Anton, Houweling, Tanja; id_orcid, Tanja AJ Houweling, Mackenbach, J.P. (Johan)   +21 more
core   +3 more sources

Improved KNN algorithms of spherical regions based on clustering and region division

Alexandria Engineering Journal, 2022
The KNN classification algorithm is one of the most commonly used algorithm in the AI field. This paper proposes two improved algorithms, namely KNNTS, and KNNTS-PK+.
Haiyan Wang, Peidi Xu, Jinghua Zhao
doaj   +1 more source

Aging, Nutritional Status and Health [PDF]

Healthcare, 2015
The older population is increasing worldwide and in many countries older people will outnumber younger people in the near future. This projected growth in the older population has the potential to place significant burdens on healthcare and support services.
Leslie, Wilma, Hankey, Catherine
openaire   +3 more sources

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population

Scientific Reports, 2023
Risk prediction models are frequently used to identify individuals at risk of developing hypertension. This study evaluates different machine learning algorithms and compares their predictive performance with the conventional Cox proportional hazards (PH)
Mohammad Ziaul Islam Chowdhury, Alexander A. Leung, Robin L. Walker, Khokan C. Sikdar, Maeve O’Beirne, Hude Quan, Tanvir C. Turin   +6 more
doaj   +1 more source

Development and validation of a hypertension risk prediction model and construction of a risk score in a Canadian population

Scientific Reports, 2022
Identifying high-risk individuals for targeted intervention may prevent or delay hypertension onset. We developed a hypertension risk prediction model and subsequent risk sore among the Canadian population using measures readily available in a primary ...
Mohammad Ziaul Islam Chowdhury, Alexander A. Leung, Khokan C. Sikdar, Maeve O’Beirne, Hude Quan, Tanvir C. Turin   +5 more
doaj   +1 more source

Socioeconomic status and self-reported oral health in Iranian adolescents: the role of selected oral health behaviours and psychological factors [PDF]

, 2010
PhDHealth inequality according to socioeconomic status has been established. There is evidence for inequality for self-reported oral health outcomes. There has been interest in exploring the factors that explain general health inequality such as health
Ravaghi, Vahid
core   +4 more sources