Abstract
BackgroundThere is a worldwide obesity epidemic, but lack of a simple method, applicable for research or clinical use, to identify individuals at high risk of weight gain. Therefore, the relationship of self-rated health and 10-year percent weight change was evaluated to determine if self-rated health would predict weight change.MethodsFrom 1990 to 2008, adults aged 30, 40, 50 and 60 years were invited to health surveys that included self-rated health and measured weight and height. ANOVA was used to evaluate the relationship of 10-year percent weight change and self-rated health.ResultsThe study population consisted of 29,207 participants (46.5% men). There was no relationship between baseline self-rated health and 10-year percent weight change for middle-aged men or women.ConclusionsSelf-rated health is not able to predict weight change over a 10-year period in this age group.
Highlights
There is a worldwide obesity epidemic, but lack of a simple method, applicable for research or clinical use, to identify individuals at high risk of weight gain
A dose-response relationship exists between increasing obesity and an increasing burden of health problems, mainly cardiovascular diseases, diabetes and cancers [1]
More recently there has been increasing interest in seeking to identify those who will maintain body weight, because weight maintenance may be easier to achieve than weight loss with subsequent weight stability [4,6]
Summary
There is a worldwide obesity epidemic, but lack of a simple method, applicable for research or clinical use, to identify individuals at high risk of weight gain. The obesity epidemic is occurring in many regions and countries of the world. A dose-response relationship exists between increasing obesity and an increasing burden of health problems, mainly cardiovascular diseases, diabetes and cancers [1]. Most of the increasing number of efforts to counteract the obesity epidemic focus on promotion of weight loss and have shown limited or no long-term success [4]. Some work has been done to identify those at greatest risk for weight gain with the idea that interventions targeted at such individuals might be the most cost-effective [5].
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