Related Experiment Video
Updated: Aug 1, 2025

Control of Eating Behavior Using a Novel Feedback System
Published on: May 8, 2018
Eating speed and height loss in relation to overweight: A retrospective study
Yuji Shimizu1, Hidenobu Hayakawa2, Eiko Honda1
1Epidemiology Section, Division of Public Health, Osaka Institute of Public Health, Osaka, Japan.
Abstract:
Fast eating is an independent risk factor for weight gain. Our previous study involving Japanese workers revealed that overweight (body mass index ≥ 25.0 kg/m2) is an independent risk factor for height loss. However, no studies have clarified the association between eating speed and height loss in relation to overweight status. A retrospective study of 8,982 Japanese workers was conducted. Height loss was defined as being in the highest quintile of height decrease per year. Compared with slow eating, fast eating was revealed to be positively associated with overweight; the fully adjusted odds ratio (OR) and 95% confidence interval (CI) was 2.92 (2.29, 3.72). Among non-overweight participants, fast eaters had higher odds of height loss than slow eaters. Among overweight participants, fast eaters had lower odds of height loss; the fully adjusted OR (95% CI) was 1.34 (1.05, 1.71) for non-overweight individuals and 0.52 (0.33, 0.82) for overweight individuals. Since overweight was significantly positively associated with height loss [1.17(1.03, 1.32)], fast eating is not favorable for reducing the risk of height loss among overweight individuals. Those associations indicate that weight gain is not the main cause of height loss among Japanese workers who eat fast.
Related Concept Videos
Regression Toward the Mean
Longitudinal Research
Binge Eating Disorders
Obesity
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Cross-Sectional Research

