Article

Using personality as a predictor of diet induced weight loss and weight management.

School of Biomedical Sciences & Pharmacy, The University of Newcastle, Callaghan NSW 2308, Australia.
International Journal of Behavioral Nutrition and Physical Activity (Impact Factor: 3.68). 11/2011; 8:129. DOI: 10.1186/1479-5868-8-129
Source: PubMed

ABSTRACT A major challenge for successful weight management is tailoring weight loss programs to individual needs. The aim of this study was to investigate whether personality traits could be used to match individuals to a compatible weight loss program that would maximize weight loss.
Two different weight loss trials were conducted, both with a weight loss greater than 5% the measure of success. Fifty-four individuals, BMI 30-40 kg/m2, either followed a slow, healthy eating weight loss diet (HEWLD) of 5000-6000 kJ/day for 12 weeks (n = 22), or a fast, very low energy diet (VLED) of 3000 kJ/day for 4 weeks (n = 32). Anthropometric measurements were recorded at baseline, at the end of the weight loss period and, for VLED, at the end of 10 weeks of weight maintenance. Personality traits were measured at baseline using the Tangney Self Control Scale plus 3 of the scales from the Five Factor Model - Neuroticism, Conscientiousness and Extraversion.
The percentage weight loss was significantly greater in VLED (-7.38%) compared to HEWLD (-4.11%), (p < 0.001). Weight loss in HEWLD was positively correlated with Anxiety, a facet of Neuroticism. Weight loss in VLED was positively correlated with Neuroticism (r = 0.5, p < 0.01), and negatively correlated with Dutifulness and Discipline, facets of Conscientiousness, (p < 0.05 for both). No link was observed between weight loss and the personality trait, Self Control, in either HEWLD or VLED.
The personality factor, Neuroticism, was linked to successful weight loss (that is ≥ 5%) with a particular weight loss treatment, suggesting that there is a potential to use measures of personality to identify appropriate weight loss/management strategies for individuals.
Australia and New Zealand Clinical Trials Register (ANZCTR): ACTRN12611000716965.

0 Bookmarks
 · 
152 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: OBJECTIVE: To examine weight loss patterns and predictors among participants in a primary care-based translation study of the Diabetes Prevention Program lifestyle intervention. DESIGN AND METHODS: Cluster analysis identified short-term (12-week) weight loss patterns among 72 intervention participants. Analysis of variance assessed cluster differences in weight loss maintenance at 15-month follow-up. Discriminant analysis identified baseline characteristics that best differentiated between clusters. RESULTS: Participants had baseline mean (SD) age of 55.0 (10.8) years and BMI of 31.9 (5.2) kg/m(2) . Cluster analysis identified three short-term weight loss patterns: modest (n=15; 21%), moderate-and-steady (n=43; 60%), and substantial-and-early (n=14; 19%). Only participants with the latter two patterns achieved clinically significant (≥ 5%) short-term weight loss and maintained it at 15 months. On discriminant analysis, the modest cluster was most differentiated from other clusters by high friend encouragement for dietary change, high obesity-related problems, and low physical well-being. The moderate-and-steady cluster was differentiated by lower physical activity, family encouragement, and depression symptoms. CONCLUSION: Results provide insight into the heterogeneity of response to an effective lifestyle intervention by identifying short-term weight loss patterns and their baseline predictors and relationship to 15-month success. If replicated, results may help tailor strategies for participant subgroups in weight loss programs.
    Obesity 06/2013; 22(1). · 4.39 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Obesity presents a major health hazard of the 21st century. It promotes co-morbid diseases such as heart disease, type 2 diabetes, obstructive sleep apnea, certain types of cancer, and osteoarthritis. Excessive energy intake, physical inactivity, and genetic susceptibility are main causal factors for obesity, while gene mutations, endocrine disorders, medication, or psychiatric illnesses may be underlying causes in some cases. The development and maintenance of obesity may involve central pathophysiological mechanisms such as impaired brain circuit regulation and neuroendocrine hormone dysfunction. Dieting and physical exercise offer the mainstays of obesity treatment, and anti-obesity drugs may be taken in conjunction to reduce appetite or fat absorption. Bariatric surgeries may be performed in overtly obese patients to lessen stomach volume and nutrient absorption, and induce faster satiety. This review provides a summary of literature on the pathophysiological studies of obesity and discusses relevant therapeutic strategies for managing obesity.
    Nutrients 11/2014; 6(11):5153-5183. · 3.15 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Obesity in adults and children is increasing worldwide at alarming rates. Obese children and adolescents are likely to become obese adults with increased risk of a number of comorbidities. In addition to preventing the development of obesity at young age, it is necessary to individualize the therapy of already obese children and adolescents in order to increase the likelihood of weight loss and maintenance. Therefore, the aim of this study is to identify predictors which play a significant role in successful weight loss and weight loss maintenance in children and adolescents. Over a one year period, 60 obese children and adolescents between 9 to 17 years of age shall be recruited at an inpatient children rehabilitation facility in Germany. They will be investigated twice within a few days following admission and prior to discharge. The study will be an integrated component of an established inpatient weight-loss and in part psychosomatic therapy. The collected data can be grouped into four clusters: 1) demographic, sociometric and psychometric data, 2) objective and subjective parameters of body condition, 3) autonomic nervous system regulated functions and 4) objective and subjective parameters for eating behavior. Primary outcome is the change of the body mass index standard deviation score (BMI-SDS). In order to evaluate the data appropriately, all examinations will be also conducted in a normal-weight reference group, matched for age and gender. For some of the collected parameters the time span between measures may be too short. Therefore, a 6 months, 1 year and 2 year follow-up will be performed for evaluating the different predictors and their influence in regard to a successful intervention. Further middle- and long-term follow-up studies are planned. The study protocol was approved by the Ethics Committee of the University Hospital Tübingen, Germany. This study is registered at the German Clinical Trials Register (DRKS) with the clinical trial number DRKS00005122.
    Journal of Eating Disorders 01/2014; 2:7.

Full-text (2 Sources)

Download
55 Downloads
Available from
May 23, 2014