Predictors of need for help with weight loss among overweight and obese men and women in the Netherlands: A cross-sectional study

Abstract

Background: Need for help is perceived as an important first step towards weight related health-care use among overweight and obese individuals and several studies have reported gender as an important predisposing characteristic of need for help. Therefore, the goal of the current study is to gain insight into factors that might determine need for help for weight loss in men and women. Methods: In the current study, data from the Dutch cross-sectional survey Health Monitor 2012 was used. Overweight and obese men (N = 2218) and women (N = 2002) aged 19-64 years were selected for the current study. Potential predictors of need for help were age, ethnicity, marital status, educational level, perceived health, weight status, comorbidities, physical activity level, and income. Multiple logistic regression analyses were conducted separately among men and women to establish prediction models of need for help for weight loss. Results: The mean age of the adult women in this study population was 47.7 years and 68% was medium educated, whereas the mean age of men was 49.0 years and 63.0% was medium educated. Of the respondents, 24.9% indicated they either felt a need for help for weight loss, 6.4% already received help and 68.7% felt no need for help. Women were more likely to indicate a need for help than men (OR = 2.17). Among both genders, need for help was significantly predicted by obesity (ORmen = 3.80, ORwomen = 2.20) and "poor" perceived health (ORmen = 2.14, ORwomen = 1.94). Besides, "unmarried" (ORmen = 1.57) and suffering from comorbidities (ORmen = 1.26) predicted need for help among men. Whereas among women, need for help was predicted by younger age (i.e. 19-34 years (ORwomen = 2.07) and 35-49 years (ORwomen = 1.35)). Conclusion: The current study revealed specific predictors of need for help for weight loss for men and women. Among men, the strongest predictors were obesity and poor perceived health, whereas among women need for help was most strongly predicted by obesity and young age. Insight into these specific predictors enables health professionals to reach overweight individuals with a need for help for weight loss by connecting their need to available support.