No abstract available.
Weight Gain*

No abstract available.
Weight Gain*

No abstract available.
Molecular Weight*

No abstract available.
Body Weight

Longitudinal study of 157 children from 14-18 weeks of gestation to 5 years after delivery to find out relationship between weight gain during pregnancy and birth weight with IQ index of children 5 years of old. Raven's test (Progressive Matrices) was used to evaluate mental development of child. The results showed that: there was positive correlation between birth weight and IQ index. The children with lower birth weight will have IQ index lower after 5 years delivery. In addition to, the results of study showed that: weight gain during pregnancy had strong positive correlation with birth weight
Pregnancy ; Weight Gain ; Birth Weight ; Child

After reviewing studies on weight cycling, we concluded that methodology left much to be desired and that the following matlers should be taken into reconsideration :1. There is as yet no established definition of the term “weight cycling”. Consequently, different definitions of weight cycling are used in different studies.2. The definition of weight cycling lacks any standard. Consequently, different criteria of weight change are used in different studies.3. Weight cycling is assessed by cycles of loss and regain of body weight. For the purpose of elucidating the correlation between weight cycling and health body weight is preferable to BMI as a weight change variable.4. Providing a relevant measure for weight cycling encompasses many components. The body weight collected by direct measurement is most reliable. However, an interval of measurement of body weight differs in different studies.5. In light of the standards of population-based epidemiological research, the studies are generally of small-to-modest size.6. Few studies have been able to differentiate between intentional and unintentional weight changes.
Weight ; Body Weight ; Measurement ; Population ; methodology <2>

Introduction: The demanding nature of medical school causes students to experience stress, anxiety, and depressive episodes that may cause students to gain or lose weight. This study aimed to determine the association of weight changes and stress levels among a private medical school students. Methods: Data were collected two times with an interval of 30 days through on-site measurement of the students’ anthropometrics using a stadiometer and utilization of online survey questionnaires accessed via QR code. Demographics and disease states were identified in the first round of data collection while the Perceived Stress Scale-10 (PSS-10) and identification of stressors was integrated in the second round of data collection. Results: Among the 212 individuals, 69.8% were categorized into having perceived moderate stress levels, 22.2% with high stress, and 8% with low stress. Of the 212 cases, 86 gained weight, 91 lost weight, and 35 had no change in weight. Fear of failure, poor motivation, and difficulty understanding lectures are among the top overall stressors. The study noted that there is a moderate association between stress and weight changes but it is not enough to reach statistical significance (0.161), as the sample size was not reached. The study revealed that the prevailing diseases were Polycystic Ovarian Syndrome, Hypothyroidism, and Hypertension, which have varying degrees of impact on weight change. Conclusion There is an association between weight changes and stress levels among first to fourth year medical students of a private medical school from A.Y. 2023-2024.
Weight Gain ; Weight Loss ; Students, Medical

No abstract available.
Body Weight* ; Tetralogy of Fallot*

Fundal height and abdominal circumference has been used for predicting fetal weight by many obstetricians for a long time. The results has proved: there are relatively relationship between, measurement values and fetal weight with the correlation coefficient (r=0.7). The error prediction was high, due to the misleading factor: abdominal thickness. This is differ from mother to others. This should be eliminated by using the actual uterine height (AUH) and actual uterine circumference (AUC) value. The results of this study demonstrated that: a close correlation between AUH (x1); AUC (x2); AUH+AUC (x3) and fetal weight (y) with correlation function and correlation coefficient as follow: Y=206.8x1-311.2; r>0.9; Y=79x2-3369.9; r>0.9; Y=57.6x3-3348; r>0.9; This appear to be a higher accurate method in fetal weight assessment.
Fetus ; Birth Weight

74 pregnancies in National Institute of protection of Mother and Children’s Health were studied concerning the fetal weigh matching 8 parameters of ultrasonic measurement of the fetus. Data based on the ratio of weigh/height of each method were annalyzed. The ratio of the mean diameter of fetus abdomen and the weight is r # 0,8 give a high value of diagnosis with an error <200g (55%). This is an eligible and generally applicable method. The graphic of abdomen development showing the correlation of mean diameter of the fetus and the fetal weight has clinical application value for diagnosis
ultrasonography ; Uterus ; Fetal Weight