## 3 Results and Discussion
Method of elimination based on Standardised Residual Covariance was used. For this purpose, standardised residual covariance less than 2.0 was eliminated. Therefore, a latent exogenous variable which appeared to be statistically insignificant, and its indicators had significantly high standardised residual covariance coefficients removed. The model modified is shown in Figure 1. Respectively, SEM with the following results on regression weight coefficients showed that all indicators were statistically significant (\(p<0.05\)). The modified model, with 276 distinct sample moments, 61 distinct parameters to be estimated, and 215 degrees of freedom. Improvement in chi-square coefficients (1.857), incremental, or, more importantly, in RMSEA analysis of absolute fit were observed. Results on comparative fit indices showed more plausible coefficients of 0.822 for NFI, 0.891 for TLI, and 0.907 for CFI. Respectively, we  
Figure 2: Modified Structural Equation Model. (N = 514. chi-square = 399.330; degrees of freedom df = 215; \(p<0.001\); e = error). reached closer to the adequate threshold of 0.90 for comparative fit indices. As for the Root Measure of Standard Error Approximation (RMSEA), the new modified model has improved to a desirable coefficient of 0.041 (lower than 0.05). All reviews and scientific studies and analysis from World Health Organizations and led by different authors, including [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON], agreed on the fact that the obesity percentage is increasing worldwide on an enormous scale, presenting an issue that affects everyone and harms general health and well-being. When analysing the findings and the figures, some elements related to physical activity, stress, smoking and alcohol consumption, sleep quality, supplement intake as well as other factors were found to be inter-related:  
- Chronic stress;  
- Low physical activity;  
- Heavy alcohol consumption;  
- Food intolerance;  
- Late bedtimes;  
- Short and long hours of sleep. These stated components were found to have a negative impact on weight loss, contributing to a possible failure in weight management. However, acute stress, smoking, cooking at home, meal replacements, some supplement intake and Chinese herbs related to detoxification, a balanced Mediterranean diet in addition to a consistent role of assistance followed by dietitians on setting a defined regimen of meal frequency, and a constructed physical activity system, should have all theoretically a possible positive effect on weight loss and its maintenance. Some points that were listed in the theoretical part were shown to have no effect on obesity or on weight loss, such as consuming alcohol in moderation, non-invasive slimming machines, as well as supplements and drugs intended for weight loss use. As for the anthropometric indicators, when assessing a patient in general, many studies proved that the most important indicator of overweight and obesity is his waist circumference followed by the ratio with his hips circumference which shows the body shape type. Furthermore, it was clear that there is a correlation between obesity and neck circumference, according to many authors and scientists, including [PERSON], [PERSON] and [PERSON]. However, since there is no official and unified measure, this parameter could be considered when following up the patients to determine their progress in losing weight next to their weight and waist circumference when lacking the right device for body composition which shows the fat content and its progress with time. In our study, we only considered BMI and body shape type and did not measure the waist and neck circumferences. BMI that indicates the weight status relative to the height can be overestimated when applied to an athletic patient with a highly developed lean mass. Otherwise, it helps to determine the type of body, ranging from underweight to obese going through normal and overweight levels.