Sentence examples for estimate weight loss from inspiring English sources

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On each sample time, 20 fruit from each field were weighed fresh, ten of which were dried in an oven at 80°C and reweighed to determine dry weight, while the other 10 fruit were left at room temperature (∼20°C) for two days and reweighed to estimate weight loss.

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Our study is limited in that we did not measure energy expenditure and fecal fat loss, both of which would provide valuable information given the discrepancy we saw between energy intake and estimated weight loss.

In the area of diabetes treatment, strength of evidence was moderate for race/ethnic differences in percentage estimated weight loss in patients with diabetes undergoing bariatric surgery; however, strength of evidence was poor for race/ethnic differences in remission of type 2 diabetes with bariatric surgery (34).

A recently published meta-analysis attempted to initially address the important issue of effectiveness of bariatric surgery in individuals of African and Caucasian descent and showed that the percent estimated weight loss was greater in Caucasians compared with African Americans (33).

The local density measurements arising from the tomographs were used to estimate the weight loss distribution.

Loss of weight was one of the first observed signs of BSE and was seen significantly earlier in BSE-positive cases, although it was also present in inoculated animals that tested negative for BSE and in some control sheep (P < 0.05 by Wilcoxon test, see additional file 8: plots of the Kaplan-Meier estimate for weight loss).

However, this may be due to the effect of pre-existing disease, as, after excluding breast cancer cases diagnosed during the first year of follow-up, the multivariate adjusted risk estimate for weight loss approached unity (HR for <−2 kg: 1.01, CI 0.59 1.76 based on 175 cases), while relative risks in the weight gain categories were not materially changed (data not shown).

The dissolution rates have been estimated from weight loss measurements.

Using their results together with other study findings, the researchers estimated that weight loss of 5percentt or more over 40 years may nearly triple the risk of fracture.

Study estimates of weight loss in both groups and the group effect adjusting for gender, baseline age, and baseline BMI was obtained with a general linear regression model; the variables adjusted for were included as covariates.

Hedges and Olkin's Q statistic showed that the estimates of weight loss and the effectiveness of the PMR program from the individual studies were significantly heterogeneous in the meta-analysis (Table 3): Q=24.2, (P<0.001) for weight loss in RCD; Q=15.1 (P=0.010) for weight loss in PMR; and Q=37.0 (P<0.001) for effectiveness.

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