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Objective: To determine the relationship between percent body fat and body mass index (BMI) in the Chinese population of Hong Kong and to investigate whether the newly proposed lower BMI cut-offs for obesity in the Asia-Pacific Region recommended jointly by the International Association for the Study of Obesity, the International Obesity Task Force and the WHO are appropriate for Hong Kong Chinese., Methods: A total of 190 female and 140 male healthy subjects were recruited from the community. BMI was calculated as weight/height(2). Body fat content (%BF) was measured by dual-energy X-ray absorptiometry (DEXA)., Results: Comparing %BF measured by DEXA with predicted %BF derived from BMI using a prediction formula developed in Caucasian population showed that the formula significantly under-predicted %BF by 1.1% in males and 3.4% in females. A predicted BMI of 25 and 30 kg/m(2) using a Caucasian-based formula corresponds to an actual BMI of 23 and 25 kg/m(2), respectively. On linear regression analysis, 25% BF corresponds to a BMI of 24.6 kg/m(2) in males and a waist circumference of 86 cm; 35% BF corresponds to a BMI of 22.6 kg/m(2) and a waist circumference of 73.5 cm in females., Conclusion: Hong Kong Chinese population have a higher %BF for a given BMI which would partly explain why the health risks associated with obesity occur at a lower BMI. Our results would support the recommendations of using lower BMI cut-offs to define obesity in the Asia Region.

The effect of menstrual cycle phase on energy and macronutrients intakes was assessed in 20 university students (21.2+/-1.3 years) all of whom experienced ovulatory cycle as documented by a surge in urinary luteinizing hormone. Three-day food intake records, which consisted of one weekend day, were kept in both mid-follicular and mid-luteal phases. Mean daily energy intake was higher (p=0.02) in the luteal phase (6978+/-1847 kJ) than in the follicular phase (6095+/-1174 kJ). Intakes of carbohydrate and fat were also significantly elevated (by 15 and 21%, respectively) in the luteal phase. The menstrual phase effect on energy intake was attributed to the substantially higher intakes from Thursday through Sunday in the luteal phase. The proportion of energy from the three macronutrients was not affected by menstrual phase nor day of the week., (Copyright 1999 Academic Press.)