Very low energy diets, program compliance, resting metabolic rate and hormonal profile in overweight and obese individuals

Thomas Graeme Wright

    Research output: ThesisDoctoral Thesis

    112 Downloads (Pure)


    [Truncated] Obesity levels are at epidemic proportions throughout Australia and the world. Unfortunately, the community awareness campaigns, nutrition and weight management programs, as well as the systems currently used by governments and commercial operators seem unable to limit the incremental creep in the number of adults who are overweight or obese. Further investigation of issues relating to program compliance, together with the influence of intrinsic body factors on weight control may provide more information on this population health and wellbeing issue, and perhaps assist with the development of more appropriate and effective templates for weight management programs.

    In the series of studies comprising this Doctoral thesis, an existing large database on overweight/obese Australians from a private weight management clinic in Perth, Western Australia was extensively analysed to investigate the impact of very low energy diets (VLED), program compliance, the degree of obesity [based on World Health Organisation (WHO) obesity classification] and selected hormonal concentrations on weight management and health profile changes. Additionally, predictive equations to calculate resting metabolic rate (RMR) were developed and compared to selected and widely used international equations. More specifically, the aims of these studies were to:

    – Compare the effects of two levels of VLED on weight loss and health status in obese women,
    – Document the effect of program compliance on weight loss and health profile changes in obese adults,
    – Assess the influence of the level of obesity (based on WHO obesity classes) on program compliance, weight loss and health profile changes after VLED intervention,
    – Develop population specific RMR prediction equations in overweight/obese Australians and compare their accuracy against indirect calorimetry measures and other commonly used predictive equations,
    – Investigate whether the inclusion of selected hormonal concentrations could improve the accuracy of RMR prediction in normal, overweight and obese adults.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Award date17 Jun 2016
    Publication statusUnpublished - 2015


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