title: A health assessment tool for multiple risk factors for obesity: results from a pilot study with UK adults.
abstract: OBJECTIVE
  Although many individual health behaviours have been implicated in the current rise in obesity levels, their confounding or cumulative effects have yet to be established. This study piloted a measure of multiple risk factors for obesity, designed to assess their relative importance at individual and population levels.
  
  
  METHODS
  A 100-item, user-friendly, self-report questionnaire, was completed by 80 adult volunteers (67% female, age range 19-73 years), and related to Body Mass Index (BMI).
  
  
  RESULTS
  Dietary factors significantly related to BMI were higher amount of food consumption and more non-hunger related eating. BMI was strongly related to both negative attitudes/emotions towards and negative social influences on physical activity/exercise. Higher BMI was also related to less participation in physical activity/exercise, more sedentary leisure pursuits (e.g. TV watching) and lower general activity levels (e.g. more car usage). A regression analysis of all risk factors explained around 56% of the variance in BMI.
  
  
  CONCLUSIONS
  The pilot measure was able to differentiate between weight groups on a number of risk factors. The strong associations found between BMI and attitudes, emotions and social influences on eating and activity behaviours may help explain why many diet and exercise regimes are unsuccessful.
  
  
  CONCLUSIONS
  Results demonstrate that an easy-to-complete, self-report tool of multiple risk factors for obesity has potential as a health assessment tool for use by health professionals.
authors.affiliation: Department of Psychology, University of Stirling, Stirling, Scotland FK9 4LA, UK. j.a.chambers@stir.ac.uk
authors.forename: Julie A
authors.initials: JA
authors.lastname: Chambers
authors.forename: Vivien
authors.initials: V
authors.lastname: Swanson
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D001294:Attitude to Health; D015992:Body Mass Index; D015986:Confounding Factors, Epidemiologic; D015444:Exercise; D005163:Factor Analysis, Statistical; D005247:Feeding Behavior / Q000523:psychology; D005260:Female; D006306:Health Surveys; D006801:Humans; D007899:Leisure Activities; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology / Q000209:etiology* / Q000523:psychology; D010865:Pilot Projects; D011237:Predictive Value of Tests; D011594:Psychometrics; D018570:Risk Assessment / Q000379:methods* / Q000592:standards; D012606:Scotland / Q000453:epidemiology; D012931:Social Environment; D011795:Surveys and Questionnaires / Q000592:standards*