## 3 Results and Discussion  
The sample was described, and the performed tests were defined. Consequently, data analysis procedures in the quantitative part are developed for which seven hypotheses are explained, discussed and verified if accepted or not. The percentage of dependent and independent variables was also defined, and variables affecting BMI were determined in terms of strong, moderate, weak (by mean of effect size) or no association at all. Figure 1: Model of data analysis procedures. The data collected from Lebanese adult people reflect a sedentary lifestyle. Even though BMI is normal for half of the population (50.8%), especially for women (12.6% males, 38.1% females), where an hourglass shape is mostly defined (76.6% of the hourglass shapes had a normal-BMI), the level of physical activity is considered low, where 62.8% of the participants do not engage in any indoor activities, 49.8% do not practice any outdoor activity, and 73.7% do not work outside/in the garden. These percentages increase with age as the apple body shape develops accordingly with a strong correlation: y = +7.88x + 2.06 (R\({}^{2}\) = 0.9307) (39% of the ones aged above 55 years have an apple-shaped body). A one-way ANOVA test was conducted to compare the means of the three forms of physical activity against age. Subsequently, there was a significant effect of age on indoor activity and gardening at \(p\) < 0.001 [F (5,508) = 4.264, \(p\) = 0.001] and [F (5,508) = 4.093, \(p\) = 0.001], respectively. However, there was no significant effect of age on outdoor physical activity [F (5,508) = 2.210, \(p\) = 0.052]. In general, the proportion of active men is greater than women, especially for indoor and gardening activities, which are emphasised for respondents living in rural regions (82.3% of those who lived and worked in the city had no interest in gardening whereas around 56.8% of those living and working in the mountains showed interest). In this context, a non-parametric Mann-Whitney U test was conducted to determine whether there was a difference in physical activities between men and women. The results of that analysis indicated that indoor physical activity as well as gardening were statistically significantly greater for men than for women, [(_z_ = -2.087, \(p\) = 0.037) and (_z_ = -3.250, \(p\) = 0.001)], respectively. In contrast, the difference in outdoor physical activity between men and women was not significant (_z_ = -0.207, \(p\) = 0.836). The apple shape, which is more prospected as an indicator of obesity, was directly related to BMI (92% of the apple shapes had an over-BMI), age, and was more revealed among men in general and women after menopause (25.4% of males have an apple shape compared to 10.3% of females). On the other hand, the most common stress effect detected among participants was related to financial issues (61.3%). Only men with over-BMI eat less when feeling angry or sad. The same effect was noticed among women who also feel anxious independently of their BMI. The relation between BMI and the rest of the variables was studied, and the results showed that participants with over-BMI ate more food considered to provoke weight gain daily, such as yellow cheese (60%), butter (53.8%), regular mix nuts (60.7%). Nevertheless, they ate less raw nuts (72% of participants who never eat raw nuts have an over-BMI) and mayonnaise light (52.4% of participants who never eat mayonnaise light are over-BMI). As for the beverages, participants with over-BMI consumed more regular soft drinks (70% of those who consume more than 6 cups per week of regular soft drinks have an over-BMI) and alcohol in general (81% of those who drink more than 6 cups per week have an over-BMI).