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Ordinal spatial scan statistics identify different clusters of risk categories, thus producing a detailed assessment of clustering across the different health states.
To determine if there are clusters of risk or protective factors that can be used develop a risk prediction model for ovarian cancer.
Furthermore, our study shows that both clusters of risk behaviours were associated with depressive symptoms.
Furthermore, both clusters of risk behaviours were associated with depressive symptoms.
Two clusters of risk behaviours were identified (i.e. substance use and problem behaviours).
In addition, various demographic characteristics were associated with the clusters of risk behaviours and depressive symptoms.
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As Burke et al. did not assess body mass or depression, their study could not have identified these additional clusters of risks factors.
The MetS definition captures clustering of risk factors that predict higher risk for diabetes mellitus and cardiovascular disease.
Metabolic syndrome is the cluster of risk factors that leads to increased episodes of cardiovascular disease (CVD).
MetS constitutes a cluster of risk factors for an increased mortality, including obesity, impaired glucose homeostasis, hypertension and atherogenic dyslipidemia.
There is also a strong relation between DM and metabolic syndrome, which is a cluster of risk factors for cardiovascular disease (CVD) and diabetes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com