The case of the missing calories.

Division of Basic Research, NIAAA, Rockville, MD 20857.
American Journal of Clinical Nutrition (Impact Factor: 6.92). 08/1991; 54(1):47-8.
Source: PubMed
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The study aimed to investigate the prevalence of overweight, obesity, and cardiometabolic abnormalities, the influence of residence area, occupation, and lifestyle on new anthropometric indices, and the relationship between anthropometric indices and cardiometabolic abnormalities in a Chinese community-dwelling population. The study included 4,868 residents through a large health check-up program in Beijing. Overall obesity existed in 22.2% of men and 28.1% of women. 67.1% of men and 65.2% of women were overweight. 65.99% of men and 65.97% of women had central obesity. Residents of rural areas, manual workers, and smokers had significantly higher anthropometric indices. The power of each anthropometric index varied for identifying different cardiometabolic abnormalities, and the ability of the waist-to-height ratio to identify participants with greater than one or two cardiometabolic abnormalities was optimal. The appropriate cut-off values of all anthropometric indices for cardiometabolic abnormalities were obtained. Overweight is common for both sexes in the People's Republic of China, as are general and central obesity. Residents of rural areas, manual workers, and smokers have significantly higher anthropometric indices. Waist-to-height ratio has the ability to reflect the compound risk of different cardiometabolic abnormalities and the greatest potential to be widely applied in clinical practice.
    Clinical Interventions in Aging 01/2013; 8:179-89. DOI:10.2147/CIA.S54240 · 1.82 Impact Factor
  • Source
    Nutricion Clinica y Dietetica Hospitalaria 12/2013; DOI:10.12873/333sernizon
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Mammographic density is a strong risk factor for breast cancer. Apart from hormone replacement therapy (HRT), little is known about lifestyle factors that influence breast density. We examined the effect of smoking, alcohol and physical activity on mammographic density in a population-based sample of postmenopausal women without breast cancer. Lifestyle factors were assessed by a questionnaire and percentage and area measures of mammographic density were measured using computer-assisted software. General linear models were used to assess the association between lifestyle factors and mammographic density and effect modification by body mass index (BMI) and HRT was studied. Overall, alcohol intake was positively associated with percent mammographic density (P trend = 0.07). This association was modified by HRT use (P interaction = 0.06): increasing alcohol intake was associated with increasing percent density in current HRT users (P trend = 0.01) but not in non-current users (P trend = 0.82). A similar interaction between alcohol and HRT was found for the absolute dense area, with a positive association being present in current HRT users only (P interaction = 0.04). No differences in mammographic density were observed across categories of smoking and physical activity, neither overall nor in stratified analyses by BMI and HRT use. Increasing alcohol intake is associated with an increase in mammography density, whereas smoking and physical activity do not seem to influence density. The observed interaction between alcohol and HRT may pose an opportunity for HRT users to lower their mammographic density and breast cancer risk.
    PLoS ONE 12/2013; 8(12):e81876. DOI:10.1371/journal.pone.0081876 · 3.53 Impact Factor

Full-text (2 Sources)

Available from
May 21, 2014