Related Experiment Videos
Gender and marital status clarify associations between food insecurity and body weight
Karla L Hanson1, Jeffery Sobal, Edward A Frongillo
1Division of Nutritional Sciences, Cornell University, Ithaca, NY 14853, USA. kh289@cornell.edu
Abstract:
Prior research shows that food insecurity is associated with being overweight in women, with few and ambiguous results in men. Little is known about the characteristics and roles of individuals who are most likely to be both food insecure and overweight or obese. This study analyzed associations between food insecurity and body weight, and whether gender and marital status are involved in that relationship. Using multiple regression models, we examined food insecurity, marriage, and body weight among 4338 men and 4172 women aged > or = 20 y in the 1999-2002 NHANES. Married men were more likely to be overweight than men in all other marital-status categories except for those living with partners. Divorced men were more likely than never-married men to live in a household with very low food security. Compared with fully food-secure men, marginally food-secure men were heavier, whereas men with low food security were lighter. Compared with fully food-secure women, marginally food-secure women also showed a tendency to be overweight (P = 0.05), whereas women with low food security were more likely to be obese. When considering the interaction between food insecurity and marital status, food insecurity was related to a greater likelihood of obesity among married women, those living with partners, and widows, when compared with never-married women. Sensitivity analyses suggest this effect was concentrated among marginally food-secure women. These findings indicate that food insecurity relates differently to body weight for men and women, and that partnering plays a strong part in this relationship for women.
Related Concept Videos
Anorexia Nervosa
Symptoms and Physical Effects
Individuals with anorexia nervosa commonly exhibit extreme...
Metabolic States of the Body: Fasting and Starvation
Self-Schemas
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
Obesity
Regulation of Food Intake