Sociodemographic and anthropometric characteristics
The sociodemographic and anthropometric characteristics of the participants are analyzed with a focus on gender, age, education level, employment status, and family situation.
Table 1 presents the age distribution by gender among 1,012 participants (60.4% females, 39.6% males). Participants were categorized into four age groups: 18-30 years, 31-40 years, 41-50 years, and over 50 years. The largest group was 18-30 years, comprising 45.4% of participants (283 females and 176 males), followed by the 31-40 group with 37.1% (194 females and 181 males). The 41–50 group accounted for 9.3% (64 females and 30 males), while the over 50 group, the smallest cohort, made up 8.3% (70 females and 14 males). Females consistently outnumbered males across all age groups, with the gender gap particularly pronounced among participants over 50 years old. The predominance of younger participants, especially in the 18–30 group, suggests a demographic bias, and male participation declined notably in older age groups. The Chi-square test (c2 = 32.863, p = 0.0005) confirmed a statistically significant difference in age distribution between genders.
Table 1 summarizes data from 1,012 participants (60.4% females, 39.6% males) distributed across age, education, profession, and family status. Age groups included 18-30 (45.4%), 31-40 (37.1%), 41-50 (9.3%), and over 50 (8.3%) years, with females consistently outnumbering males, particularly in the over-50 category. The Chi-square test (c2 = 32.863, p = 0.0005) revealed significant gender differences in age distribution. Educational attainment showed most participants (85.9%) had university education, followed by secondary (12.8%) and primary education (1.3%). A Chi-square test (p = 0.379) indicated no significant gender differences in education levels. Professionally, civil servants dominated (52.9%), followed by self-employed (20.7%), students (14.3%), and unemployed (12.2%). The unemployed group was exclusively female. Gender differences in professional status were significant (p = 0.0005). Regarding family status, singles constituted 41.3%, married participants 54.8%, and divorced individuals 3.9%. The Chi-square test (p = 0.982) found no significant gender differences in family status.
BMI group
Table
2 showed the percentage of the different BMI groups distributed by the sexes, providing a clear overview of the body composition of the study population.Out of a total of 1,012 participants, 60.4% were females (611 participants) and 39.6% were males (401 participants). Participants were grouped into six BMI categories: underweight, normal weight, overweight, and three obesity classes.
The underweight category (BMI < 18.5) accounts for 5.2% of the total participants (52 individuals), with 18 females (1.8%) and 34 males (3.4%), showing higher representation among males. The normal weight category (18.5£ BMI £ 24.9) is the largest, comprising 38.9% of the participants (394 individuals), with 203 females (20.1%) and 191 males (18.9%), indicating near-equal gender distribution. In the overweight category (25 £ BMI £ 29.9), 30.6% of the participants (310 individuals) were included, with a higher proportion of 207 females (20.5%) compared to 103 males (10.2%). The Obesity Class I (30 £ BMI £ 34.9) represents 15.6% of participants (158 individuals), consisting of 98 females (9.7%) and 60 males (5.9%). In Obesity Class II (35 £ BMI £ 39.9), 7.5% of participants (76 individuals) are represented, including 66 females (6.5%) and 10 males (1.0%), with a strong dominance of females. Finally, Obesity Class III (BMI > 40) is the smallest category, accounting for 2.2% of participants (22 individuals), with 19 females (1.9%) and only 3 males (0.3%).
The Chi-square test produced a P-value of 0.0005, indicating a statistically significant relationship between gender and BMI distribution at the 0.05 level.
Frequency of food consumption in both gander
Table 3 examines the eating habits of 1,012 participants (60.4% women, 39.6% men). Substantial meals were most common on weekends, with Saturday (31.6%) and Sunday (27.8%) preferred, particularly among women (Saturday: 19.4%, Sunday: 16.1%) compared to men (Saturday: 12.3%, Sunday: 11.7%). Weekdays like Tuesday (2.0%) and Thursday (1.3%) showed lower proportions. The Chi-square test (p = 0.163) found no significant gender differences in meal timing.
Regarding meal frequency, 53.6% ate four meals daily, followed by three (19.6%) and two (18.5%) meals, with no significant gender variation (p = 0.053). Daily bread or pastry consumption was reported by 80.7%, equally across genders (p>0.05). Fruits and vegetables were consumed 4–5 times weekly by 60.2% and daily by 23.0%, with no gender differences (p = 0.543), this result differs slightly from that reported in a study conducted in the Arwal district of Bihar, where 87.01% of participants stated that they consumed green vegetables every day
(Krishnasree et al., 2018; Sharma 2022) However, meat and poultry consumption (4–5 times weekly) showed significant differences (p = 0.0005), with women consuming more (31.6% vs. 13.9%). Other categories showed no significant differences. Overall, eating habits were largely similar between genders, with minor variations in specific categories.
This aligns with Morocco’s cereal-centric food culture, where bread, often paired with Tagine, replaces traditional grains like barley. Meanwhile, couscous consumption declines, while pasta rises (
TOBBA Tassabih, 2023). The Moroccan Nutritional Transition study highlighted the fact that the Moroccan diet has changed considerably, with an increase in the consumption of animal products, while that of cereals and sugar has remained relatively high, underlining the specificity of Moroccan eating habits (
Benjelloun, 2002).
Fruits and vegetables are consumed 4-5 times weekly by 83.2% of Moroccans, but daily intake averages one fruit and 2.5 vegetable servings, below the recommended 400-500 g for cardiovascular health (
Organization, 2003). Meat and poultry consumption, mainly 2-5 times weekly, reflects dietary preferences like mutton, despite rising concerns about antibiotic resistance and contamination in poultry products
(Fazza et al., 2023; Cohen et al., 2007). Morocco’s nutritional transition shows increased animal product intake alongside under-nutrition in children and growing adult obesity (
Benjelloun, 2002). Compared to France, where meat ranks second, Moroccans prioritize cereals and vegetables (
Sharma, 2021). A study conducted in Hyderabad shows that chicken is the preferred meat, while mutton is less favored, and pork and beef are consumed occasionally due to taboos and religious beliefs, with average consumption levels falling below recommended dietary guidelines (
Ankur Ojha et al., 2015; Krishnasree et al., 2018; Sharma, 2022).
Traditional Moroccan dairy products like
lben,
smen, and
jben are vital in rural diets and increasingly marketed informally
(Cuvelier et al., 2004). Goat’s milk is primarily processed into cheese due to sensory preferences ((EFFICACE 2021). These dairy products may protect against colorectal cancer
(Kaoutar et al., 2019). Among legumes, peas, lentils, white beans and broad beans are the most common. A study analyzed these products for energy, water, protein, fat, total carbohydrates, total ash and 15 minerals, revealing that the energy value of Moroccan foods is higher than that reported in the FAO table for Africa (
FAO et al., 2017). Morocco is the leading North African country in terms of cereal production. However, little of this biomass is used for energy production in the country, representing a major challenge due to heavy dependence on energy imports, limited water resources and a rapidly growing population (
Mahdavi et al., 2023). One study explored how the cognitive representation of a food as a “snack” or “meal” influences eating behavior. Foods such as potato chips, crackers, cookies and nuts are seen as snacks, while soups, burritos, pizzas and pancakes are seen as meals. (
Wadhera and Capaldi 2012). Dans notre étude la majorité des individus de l’échantillon étudié (67,1%) consomment les aliments type snack (Pizza, Paninis, Hamburgers, Tacos…) d’une fréquence faible qui est d’une seule fois par semaine ce qui est compatible aux habitudes des français, selon (Le snacking en France) 57% fréquentent au moins une fois dans la semaine
(Forbes et al., 2016). (including weekends). In contrast to America, almost three quarters of survey respondents (73%) reported consuming snacks at least once a day. Specifically, 34% reported snacking once a day, 25% twice, and 14% three or more times, demonstrating that snacking is an integral part of the daily diet of many in the American population (
Wadhera and Capaldi 2012). One study found that high consumption of fast food and industrial baked goods may be associated with an increased risk of depression. The authors recommend limiting consumption of these foods in favor of healthier options (
Gougeon, 2014).
This consumption is similar to that observed in a study conducted among 100 subjects in Hisar city of Haryana state, where the intake of pulses was found to be adequate at 69% and 57% of the recommended intake, respectively (
Budhwar and Jood, 2010). Snacking, primarily weekly, aligns with French trends
(Forbes et al., 2016) but contrasts with frequent American habits (
Wadhera and Capaldi, 2012). High fast-food consumption may increase depression risk, highlighting the need for healthier choices (
Gougeon, 2014).