Abdominal obesity assessed by waist or waist/hip ratio are both related to increased risk of all-cause mortality throughout the range of body mass index (BMI). The relative risks (RRs) seem to be relatively stronger in younger than in older adults and in those with relatively low BMI compared with those with high BMI. Absolute risks and risk differences are preferable measures of risk in a public health context but these are rarely presented. There is a great lack of studies in ethnic groups (groups of African and Asian descent particularly). Current cut-points as recommended by the World Health Organization seem appropriate, although it may be that BMI-specific and ethnic-specific waist cut-points may be warranted. Waist alone could replace both waist-hip ratio and BMI as a single risk factor for all-cause mortality. There is much less evidence for waist to replace BMI for cancer risk mainly because of the relative lack of prospective cohort studies on waist and cancer risk. Obesity is also a risk factor for sleep apnoea where neck circumference seems to give the strongest association, and waist-hip ratio is a risk factor especially in severe obstructive sleep apnoea syndrome. The waist circumference and waist-hip ratio seem to be better indicators of all-cause mortality than BMI.
Waist circumference, waist-hip ratio and all-cause mortalityWhat is the optimal cut-point for assessing risk of premature death?-purposes of cut-points There are not very many studies that directly compare mortality risks by waist circumference and waist-hip ratio. Those who do usually show a continuous relationship between waist, waist/hip and mortality, making any decision about cut-points and classification rather arbitrary. It is also important to think about the uses for cut-points (WHO Expert Consultation, 2004). Cut-points can be applied to population data to describe prevalence and to provide information that may trigger policy actions, to facilitate prevention programmes and to measure the effect of interventions. They can also be used in epidemiological studies to describe the strength and effect size of relationships of determinants on health outcomes. Finally, they can be used to identify individuals who are at risk, to determine the type and intensity of treatment and to evaluate the effects of treatment.The focus of this paper is to evaluate the nature and form of the relationships between waist, waist/hip and all-cause mortality in prospective epidemiological studies and to identify potential cut-points based on for example, statistical grounds (e.g. quintiles), the flexing of the curves or of absolute and relative risk (RR) estimates.The evaluation of the impact of anthropometric measures on mortality can be done by calculating absolute risks (and rate or risk differences), RR or population attributable risk. The RR gives an impression of the slope of the association but has the disadvantage of being dependent on the level of background risk. The risk difference gives the best assessment of the impact on mortality but...