aAdjusted for age (months), body mass index, alcohol intake, total energy adjusted calcium intake, history of osteoporosis, level of physical activity, smoking status,vitamin D intake, bisphosphonate use, thiazide use, corticosteroid use, and use of postmenopausal hormone replacement therapy 调整为年...
The study aimed to determine the association between body mass index (BMI)-for-age and health-related quality of life (HRQOL) among high school students in Tehran.A total of 465 high school students (227 girls and 238 boys) and their parents were participated in this cross-sectional study....
Present study aimed to evaluate the prevalence of grades of nutritional status comprising underweight, normal weight, overweight, and obesity as well as other measurable anthropometric indicators of body mass index (BMI) in regard to gender, educational level, and living area among students settled in...
Figure 2. View LargeDownload Multivariate-adjusted prevalence of favorable and adverse outcomes in health perception and physical functioning by baseline body mass index (BMI) group for men (n = 3830). Outcomes were adjusted for age in 1996, race, baseline educational level, smoking status, and ...
Effects of Age and Body Mass Index on the ResultsOsteonecrosis, Femoral Head
( 49% female) each measured once at the age of 3 years.Main outcome measures: Weight, height and derived BMI ( weight/height(2)) adjusted for age and sex ( British 1990 revised reference) using standard deviation scores.Results: From 1988 to 2003, mean BMI increased by 0.7 kg/m(2),...
Annual primary care consultation, test, and prescription costs per person by category of body mass index. The standardised estimates of mean annual costs (in UK 2016 prices) are adjusted for age, region of recruitment, deprivation, educational qualifications, parity, age at birth of first child,...
To validate e-norms methodology in establishing a reference range for body mass index measures. A new method, the extrapolated norms (e-norms) method of determining normal ranges for biological variables is easy to use and recently was validated for seve
Age (years) 0.174 21–34 (ref) 1.00 35–44 0.81 (0.59, 1.11) 45–54 0.71 (0.52, 0.97) ≥55 0.89 (0.59, 1.34) Decision latitude 1.02 (1.01, 1.03) 0.001 Job flexibility 1.05 (1.01, 1.10) 0.029 a Model is adjusted for the effect of race/ethnicity b p-values found using Wald...
BACKGROUND: As more people live more of their lives obese, it is unclear what impact this will have on muscle mass, strength, and quality. We aimed to examine the associations of body mass index (BMI) from age 15 years onwards with low muscle mass, strength, and quality in early old ...