The ratio of waist circumference to height was the strongest predictor of intra-abdominal fat (r=0.83, P<0.001), outperforming waist circumference alone, body mass index, and waist-to-hip ratio.
Cross-Sectional (n=47)
Does the ratio of waist circumference to height better predict intra-abdominal fat compared to other anthropometric measures in adults?
The ratio of waist circumference to height is a stronger predictor of intra-abdominal fat than BMI or waist circumference alone, supporting its use as a simple anthropometric tool for assessing metabolic risk.
Effect estimate: r=0.83
p-value: p=<0.001
necessary.A national waiting list policy that guarantees access according to agreed criteria, rather than simply guaranteeing maximum wait- ing times, could facilitate contracts between pur- chasers and providers on the basis of agreed criteria for the prioritisation of waiting lists.Points could be assigned to patients by consultants to reflect, for example, current health status, assessed using the EuroQoL or SF36 health status measures; expected gain in quality of adjusted life years (QALY)3 from treatment; or some combination of clinical factors such as rate of deterioration and social factors reflecting dysfunction in usual activities.This is being pursued by New Zealand's Health Commission4 and in the United Kingdom is being piloted at Salisbury District Hospital.5Points schemes could help establish thresholds for entry on to elective waiting lists and help standardise general practitioners' referral prac- tice for routine procedures.If rationing in the NHS is inevitable, waiting list points schemes could help to ensure that patients with similar need, somehow reflected by their points allocation, could be assured of simi- lar access to treatment, regardless of clinical specialty, geographical location, or general practitioner's status.Points schemes could provide a redefinition of the principle on which the NHS was founded within the constraints of resource limitation.
Ashwell et al. (Sat,) conducted a cross-sectional in Presenting for routine computed tomography (n=47). Ratio of waist circumference to height vs. Waist circumference, body mass index, and waist-to-hip ratio was evaluated on Correlation with intra-abdominal fat cross-sectional area (r=0.83, p=<0.001). The ratio of waist circumference to height was the strongest predictor of intra-abdominal fat (r=0.83, P<0.001), outperforming waist circumference alone, body mass index, and waist-to-hip ratio.
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