IBMIImmanuel Baptist Ministries of India (Andhra Pradesh, India)
IBMIInstitute for Biotechnology and Medicine Industry (China)
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The IBMI has just publicized to modify, promote 33 biotechnology policies over three years and in three phases, aiming to widen its range to transform biotechnology into the new trillion-NT-dollar industry.
The IBMI also looks to the committee to boost industry-academy cooperation to introduce 4,000 biotechnology graduates into industry.
With the Cross-Strait Cooperation Agreement on Medicine and Public Health Affairs, signed in 2010 but not progressing, the IBMI also hopes the committee to accelerate cross-strait medical exchange.
The means' graph (figure 2) shows the developmental pattern of the IBMI variable for men and women.
The variance analysis shows that the lack of difference between males and females in the ages 10 and 12 and the increase in the gender differences from 13-14 on may be extended to the development of IBMI, F(3,924) = 2.84; p = .037; [DHS.sub.10-12] = .10; p = .979; g'= .147; [DHS.sub.13-14] = .274; p = .037; g'= .428; [DHS.sub.15-16] = .436; p = .001; g'= .681; [DHS.sub.17-18] = .642; p = .005; g'= 1.01.
Changes in BD and IBMI: Modulating effect of the BMI category
The analysis of possible IBMI for each age group using the BMI category as the covariant showed no statistically significant differences between female age groups F(3,277) = 2.09; p = .103), despite showing a slight increase in the ideal body mass index category by age [M.sub.10-12] = 2.23; [M.sub.13-14] = 2.24; [M.sub.l5-l6] = 2.42; [M.sub.17-18] = 2.33.
The maximum difference between sexes is found in the ages 15-16 for body dissatisfaction (MSD = -9.90; p < .001; g' = 1.063) and ages 17-18 for the indirect indicator IBMI (MSD = .661;p < .001; g' = 1.187).
However, the factor that explained the greatest variance in IBMI scores was age group T(814) = 15.62; p < ,001, followed by BMI T(814) = 12.89; p < .001 and sex T(894) = -4.42; p < .001, which showed a weak relationship to the variable of interest.
Once having checked the absence of differences in the body dissatisfaction scale in different age groups as a function of the participant's reported IBMI category F(10,884) = 1.23; p = .261 and having seen the similarity in scores on this scale when simultaneously accounting for the IBMI, age and sex F(7,882) = .639; p = .748, we proceeded to analyse the IBMI's effect on body dissatisfaction accounting for sex throughout the whole sample.
The analysis showed that the IBMI had a different statistically significant effect on body dissatisfaction for females and males F(3,884) = 2.77; p = .041, despite presenting statistically significant differences in favour of women in all categories.
Relative to IBMI the results show that there are differences between sexes, with the female group remaining constant while an increase in the male group.