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15th
World Congress Clinical Nutrition
19th
– 22nd September 2010 El Sokhna Resort - Egypt
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Copyright © 2010.
WCCN2010.COM
All rights reserved |
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Personality as a prediction
of successful weight loss
Irene Munro,(1) D Munro,
(2) MR Bore, (2) ML
Garg(1)
(1) NRG, School of
Biomedical Sciences, (2)
School of Psychology . The
University of Newcastle, Callaghan
NSW 2308, Australia -
Irene.Munro@uon.edu.au
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Aim: Obesity is a
risk factor for several chronic
diseases such as type 2 diabetes and
CVD. A weight loss of between 5-10%
can reduce these health risks but
losing weight is not easy. A major
challenge for successful weight
management is tailoring weight loss
programs to meet individual needs.
The aim of this study was to
determine the effectiveness of
measuring personality traits to
identify successful weight loss
using two different weight loss
treatments.
Method: Two weight
loss trials were conducted. Trial 1
(n=22) used a healthy eating weight
loss plan of 5000 kJ/day for 12
weeks. Trial 2 (n=32) used a very
low kJ diet (VLkJD) of 3000 kJ/day,
using meal replacements, for four
weeks followed by 10 weeks of weight
maintenance. Nutrition information
sessions were provided for both
groups. Personality traits of all
participants were measured using
three scales based on the
Five-Factor Model (FFM) from the
International Personality Item Pool
plus the Tanganey Self Control
Scale.
Results: The mean
age, body weight and BMI were very
similar for the commencing
participants in both trials as was
the baseline daily kJ intake.
However, the mean weight loss in the
two trials was significantly
different at 4.11% reduction in
Trial 1 and 7.38% reduction in Trial
2 (p<0.0001). Successful weight
change was positively correlated
with the personality trait,
Neuroticism (r=0.5, p<0.005) and
negatively correlated with the
personality facets Assertiveness
(r=-0.378, p<0.05) and Dutifulness
(r=-0.376, p<0.05).
Conclusions: The
results indicate differences in
certain personality traits between
successful and unsuccessful weight
losers. These findings have
substantial implications for weight
management since predicting
treatment process variables and
behavioural outcomes are an
important part in the successful
treatment of obesity.
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