Keywords
obesity - primary school students - prevalence - Benghazi - cross-sectional study
Introduction
Overweight and obesity are defined as unusual or excessive fat build up that poses
a health concern. A body mass index (BMI) of 25 or higher is deemed overweight and
a BMI of 30 or higher is considered obese. In 2019, it was anticipated that higher-than-optimal
BMI contributed to 5 million deaths from noncommunicable diseases (NCDs).[1]
Growth references for defining overweight and obesity differ by age group: The World
Health Organization 2007 standards classify overweight as BMI ≥ 1 standard deviation
(SD) and obesity as BMI ≥ 2 SD above the median for ages 5 to 19 years. The United
States Centers for Disease Control and Prevention growth charts use > 85th to < 95th
percentile for overweight and ≥ 95th percentile for obesity in children aged 2 to
20 years.[2]
Childhood overweight and obesity represent a serious global public health concern,
associated with significant physical and psychological consequences in both childhood
and adulthood.[3] While the prevalence of childhood obesity remains stable in high-income countries,[4] it continues to rise in low- and middle-income countries.[3]
[4] In 2013, an estimated 42 million children under 5 were overweight, with nearly 31
million residing in developing nations.[5] By 2016, obesity prevalence among children aged 2 to 19 years exceeded 30% in several
Pacific Island countries and was above 20% in many Middle Eastern and North African
regions.[6]
The primary causes of the rapid global rise in obesity rates lie in the profound environmental
and societal changes now affecting large parts of the world and creating societies
in which physical activity is low and the availability of high-fat, energy-dense foods
has increased.[7]
Although the precise mechanisms driving obesity remain incompletely understood, the
condition fundamentally arises from an imbalance between energy intake and expenditure.
No single factor explains the rising global prevalence, as this imbalance stems from
multiple etiologies. Genetic predisposition influences a child's susceptibility to
obesogenic environments, but behavioral, cultural, and environmental factors are key
drivers of the epidemic.[8] School-aged children face heightened risk due to prolonged sedentary behavior during
classes and frequent exposure to unhealthy diets. In rare cases, obesity results from
genetic disorders (e.g., leptin deficiency), endocrine conditions (e.g., hypothyroidism,
growth hormone deficiency), or medication side effects (e.g., steroids).[8]
Furthermore, childhood overweight and obesity profoundly impact physical and psychological
health, increasing risks for hyperlipidemia, hypertension, insulin resistance, and
infertility. These children also face heightened susceptibility to psychological disorders,
particularly depression. Without intervention, obese children often remain obese into
adulthood, predisposing them to early-onset NCDs like diabetes and cardiovascular
conditions.[9]
[10] Effective prevention strategies require accurate assessments of childhood obesity's
burden—especially in regions where cultural perceptions equate overweight with health.[11]
Libya is no exception to the global childhood obesity epidemic. Over the past decade,
international studies have reported rising obesity rates across diverse populations,
with varying geographic scope—from multiprovince analyses to city-specific assessments.[12] In Benghazi, alarming data by Elsaid et al revealed high obesity prevalence among
Libyan children aged 4 to 19, affecting both sexes equally,[13] linking it to westernized diets, low physical activity, and familial factors like
parental obesity and maternal education level.
This study was conducted to determine the prevalence of obesity among primary school
children in Benghazi, Libya, and examine its associations with modifiable lifestyle
factors (dietary habits, physical activity) and socioeconomic status (SES), while
assessing potential gender differences.
Methods
Study Design and Setting
This cross-sectional study was conducted from October to November 2023 in primary
schools across Benghazi, Libya. The study population consisted of children aged 7
to 12 years attending both public and private schools. Children with chronic illnesses
or those receiving corticosteroid/growth hormone therapy were excluded from participation.
Sampling Technique
We employed a cluster sampling method, selecting one school from each of Benghazi's
four administrative districts. From each school, we recruited 96 students (total n = 384), systematically selected as the middle three desk-sitters from each classroom
row to ensure representative sampling.
Data Collection
Data were collected using a structured two-part questionnaire as seen in the Appendix 1. The first section, completed by research staff, recorded demographic information
(age, gender, grade) and anthropometric measurements. The second section, completed
by parents, assessed lifestyle factors including:
-
Frequency of fast food and carbonated beverage consumption per week.
-
Physical activity levels (categorized as active [> 3 sessions/week], moderate [1–3
sessions/week], or inactive [< 1 session/week]).
-
Family SES categorized as bad (salary less than 1,000 Libyan Dinar/month), moderate
(salary between 1,000 and 2,000 Dinar/month), and good financial status (salary more
than 2,000 Libyan Dinar/month).
Anthropometric Measurements
Trained researchers conducted all measurements using standardized protocols:
-
Height was measured to the nearest 0.5 cm using a wall-mounted stadiometer, with participants
standing barefoot in the Frankfurt plane position
-
Weight was measured to the nearest 0.5 kg using calibrated digital scales, with participants
wearing light clothing
-
BMI was calculated as weight (kg)/height (m2)
Statistical Analysis
Data were analyzed using SPSS version 23. Descriptive statistics included frequencies
(percentages) for categorical variables and means ± SDs for continuous variables.
Chi-square tests were used to examine associations between variables, with statistical
significance set at p < 0.05.
Ethical Aspects
We obtained verbal consent from the administration of the schools participating in
the study. Written consent was taken from parents of children participating in this
study. And ethical approval from the Libyan International Medical University Ethical
Committee was obtained.
Result
A total of 383 students were included in this study, 192 males and 191 females, 50.1
and 49.9%, respectively ([Table 1]). The mean age of the students was 9.5 (± 1.7 SD) years.
Table 1
Association between BMI and gender in pediatric participants
|
BMI
|
Male
|
Female
|
Total
|
Chi-square
|
p-Values
|
|
No
|
%
|
No
|
%
|
No
|
%
|
|
Underweight
|
16
|
8.3
|
15
|
7.9
|
31
|
8.1
|
0.18
|
0.981
|
|
Normal weight
|
64
|
33.3
|
61
|
31.9
|
125
|
32.6
|
|
Overweight
|
58
|
30.2
|
63
|
33
|
121
|
31.6
|
|
Obese
|
54
|
28.1
|
52
|
27.2
|
106
|
27.7
|
|
Total
|
192
|
|
191
|
|
383
|
|
|
|
Abbreviation: BMI, body mass index.
The study revealed significant findings regarding BMI distribution among primary school
children in Benghazi ([Table 1]). The combined prevalence of overweight (31.6%) and obesity (27.7%) accounted for
nearly 59% of the study population (n = 383), while normal weight children represented 32.6% and underweight cases were
least common at 8.1%. Gender-based analysis showed remarkably similar patterns between
males and females, with slightly higher overweight prevalence among girls (33% vs.
30.2%) and marginally greater obesity rates among boys (28.1% vs. 27.2%). The chi-square
test indicated no statistically significant differences in BMI distribution between
genders (p > 0.05).
A significant association was found between children's BMI and family financial status
(chi-square = 23.41, p < 0.001) ([Table 2]). Underweight children were most prevalent in families with “bad” financial status
(45.2%), while overweight and obesity showed higher proportions in families with “good”
financial status (49.6 and 38.7%, respectively). Normal weight children were relatively
evenly distributed across financial groups.
Table 2
Association between BMI and family financial state in pediatric participants
|
BMI
|
Bad
|
Moderate
|
Good
|
Chi-square
|
p-Values
|
|
No
|
%
|
No
|
%
|
No
|
%
|
|
Underweight
|
14
|
45.2
|
12
|
38.7
|
5
|
16.1
|
23.4
|
0.001
|
|
Normal Weight
|
48
|
38.4
|
35
|
28
|
42
|
33.6
|
|
Overweight
|
26
|
21.5
|
35
|
28.9
|
60
|
49.6
|
|
Obese
|
29
|
27.3
|
36
|
34
|
41
|
38.7
|
|
Total
|
117
|
30.6
|
118
|
30.8
|
148
|
38.6
|
|
|
Abbreviation: BMI, body mass index.
A highly significant association was observed between children's BMI categories and
frequency of fast food consumption (chi-square = 56.32, p < 0.001) ([Table 3]). The data revealed a clear dose–response relationship, with normal weight children
showing the highest proportion of eating fast food only once weekly (52.8%), while
overweight and obese children demonstrated substantially higher frequencies of consuming
fast food three or more times weekly (52.9 and 45.3%, respectively). Underweight children
showed an intermediate pattern, with most consuming fast food twice weekly (45.2%).
Table 3
Association between BMI and fast food consumption/week in pediatric participants
|
BMI
|
Once
|
Twice
|
Three+
|
Chi-square
|
p-Values
|
|
No
|
%
|
No
|
%
|
No
|
%
|
|
Underweight
|
12
|
38.7
|
14
|
45.2
|
5
|
16.1
|
56.4
|
0.001
|
|
Normal Weight
|
66
|
52.8
|
31
|
24.8
|
28
|
22.4
|
|
Overweight
|
25
|
20.7
|
32
|
26.4
|
64
|
52.9
|
|
Obese
|
17
|
16
|
41
|
38.7
|
48
|
45.3
|
|
Total
|
120
|
31.3
|
118
|
30.8
|
145
|
37.9
|
|
|
Abbreviation: BMI, body mass index.
[Table 4] shows a strong association between children's BMI categories and frequency of carbonated
beverage consumption (chi-square = 142.07, p < 0.001). A pattern emerged where obese children showed dramatically higher consumption,
with 90.6% drinking carbonated beverages three or more times per week, compared with
just 38.7% of underweight children. Normal weight children displayed an intermediate
pattern, with more balanced consumption across categories (35.2% once, 34.4% twice,
and 30.4% three+ times weekly).
Table 4
Association between BMI and carbonated beverage consumption/week in pediatric participants
|
BMI
|
Once
|
Twice
|
Three+
|
Chi-square
|
p-Values
|
|
No
|
%
|
No
|
%
|
No
|
%
|
|
Underweight
|
2
|
6.45
|
17
|
54.8
|
12
|
38.7
|
142.4
|
0.001
|
|
Normal Weight
|
44
|
35.2
|
43
|
34.4
|
38
|
30.4
|
|
Overweight
|
11
|
9.1
|
39
|
32.2
|
71
|
58.7
|
|
Obese
|
0
|
0%
|
10
|
9.4
|
96
|
90.6
|
|
Total
|
57
|
15.03
|
109
|
28.46
|
217
|
56.66
|
|
|
Abbreviation: BMI, body mass index.
[Table 5] shows a highly significant association between BMI categories and physical activity
levels (chi-square = 23.4, p = 0.001). A clear inverse relationship was observed, where normal weight children
showed the highest proportion of active individuals (35.2%), while obese children
had no active participants (0%). Physical inactivity dramatically increased with BMI,
reaching 90.6% in obese children compared with 38.7% in underweight and 30.4% in normal
weight groups. Overweight children displayed an intermediate pattern, with 58.7% being
nonactive.
Table 5
Association between BMI and physical activity/week in pediatric participants
|
BMI
|
Active
|
Moderate
|
Nonactive
|
Chi-square
|
p-Values
|
|
No
|
%
|
No
|
%
|
No
|
%
|
|
Underweight
|
2
|
6.45
|
17
|
54.8
|
12
|
38.7
|
23.4
|
0.001
|
|
Normal Weight
|
44
|
35.2
|
43
|
34.4
|
38
|
30.4
|
|
Overweight
|
11
|
9.1
|
39
|
32.2
|
71
|
58.7
|
|
Obese
|
0
|
0
|
10
|
9.4
|
96
|
90.6
|
|
Total
|
57
|
15.03
|
109
|
28.46
|
217
|
56.66
|
|
|
Abbreviation: BMI, body mass index.
Discussion
Many children suffer from severe obesity, which is a major public health concern.
Obesity must be handled through a variety of strategies, ranging from early prevention
of overweight and obesity to treatment of individuals in need, due to the influence
it has on the educational, health, social care, and economic systems.[14]
In the present study, the overall prevalence of obesity among children aged 7 to 12
years was 28%, which is notably higher than the rate reported in a previous study
conducted in the same city (Benghazi) by Amina et al (20.6%).[13] This upward trend suggests a worsening childhood obesity epidemic in the region,
possibly driven by urbanization, dietary shifts, and reduced physical activity.
Compared with international studies, our findings reveal significantly higher obesity
rates than those reported in Port Said, Egypt (13.5%),[16] India (11.7%),[17] Tanzania (6.7%),[18] and Serbia (6.9%).[19] These disparities may reflect differences in socioeconomic transitions, food environments,
and cultural practices. However, our results align closely with data from Iran (Emamian
et al), where 25.7% of children were overweight or obese,[20] suggesting that the Middle Eastern/North African countries may share similar obesogenic
risk profiles.
In this study, the prevalence of overweight and obesity showed no significant gender
differences (chi-square test, p = 0.951). This contrasts with studies from Qatar, where obesity/overweight was more
prevalent in males,[20] and other global reports suggesting higher overweight rates in females, potentially
due to hormonal, behavioral, or environmental factors.[17]
[21] However, our findings align with Iranian data showing no significant sex-based differences
in obesity/overweight prevalence.[22]
This study found a significant association between higher SES and increased childhood
obesity (p < 0.028), reinforcing the nutrition transition paradox where wealthier families showed
greater obesity prevalence while undernutrition was more common in poorer households.
These findings align with similar patterns observed in Egypt[15] and global trends,[23] likely reflecting greater access to energy-dense foods, reduced physical activity,
and cultural perceptions of abundance in higher SES groups within urban Benghazi.
The results underscore the dual burden of malnutrition in Libya's developing urban
context and highlight the urgent need for SES-sensitive interventions that address
obesogenic environments while simultaneously tackling undernutrition in lower-income
populations.
This study reveals a robust dose-dependent relationship between fast food intake and
childhood obesity (chi-square = 56.32, p < 0.001; Cramer's V = 0.38), with overweight/obese children consuming fast food ≥
3 ×/weekly at substantially higher rates (52.9 and 45.3%, respectively) compared with
normal weight peers (52.8% once weekly). These findings align with global evidence
linking processed foods and sugar-sweetened beverages to elevated BMI,[24] and mirror decade-long trends showing junk food-driven overweight increases (9.7%→13.9%).
The observed gradient—where fast food frequency escalates with BMI category—underline
its role as a modifiable obesity driver in Benghazi's schoolchildren. Notably, underweight
children exhibited intermediate consumption patterns (45.2% twice weekly), suggesting
dual nutritional risks in this population: undernutrition coexisting with obesogenic
dietary habits. This evidence calls for urgent school-based nutrition policies targeting
processed food accessibility and dietary education.
A striking dose–response relationship emerged between sugary drink intake and BMI
(chi-square = 142.07, p < 0.001), with 90.6% of obese children consuming carbonated beverages ≥ 3 ×/weekly
versus only 6.45% of underweight children reporting minimal intake (once weekly).
This pattern—where soda consumption frequency escalates progressively across BMI categories—mirrors
global evidence linking sugar-sweetened beverages to obesity.[24] The near-absence of obese children in the lowest consumption category underline
carbonated drinks as a critical modifiable risk factor in Benghazi's childhood obesity
epidemic. Notably, even underweight children showed moderate consumption patterns
(38.7% ≥ 3 ×/weekly), suggesting pervasive exposure to unhealthy dietary habits across
all nutritional statuses. These findings warrant urgent policy attention to restrict
school-based soda availability and promote water consumption.
This study revealed a highly significant association between physical inactivity and
childhood obesity (chi-square = 23.4, p = 0.001), with 90.6% of obese children classified as sedentary (vs. 30.4% of normal
weight peers). These findings align with prior evidence from Benghazi,[13] where 78.5% of children reported no regular exercise, coupled with excessive screen
time—a pattern strongly linked to obesity risk. The dose-dependent relationship (inactivity
prevalence rising with BMI category) underline physical activity's dual role: protective
against obesity in childhood and mitigating adult obesity risk.[25] Notably, even normal weight children showed suboptimal activity levels (35.2% active),
suggesting population-wide behavioral risks. These results call for mandatory school-based
physical education programs, community sports initiatives targeting sedentary behaviors,
and screen time regulations to counter passive leisure trends.
Conclusion
This study revealed strong associations between childhood obesity in Benghazi and
key lifestyle factors, including frequent consumption of fast food and carbonated
beverages, higher family financial status, and physical inactivity. The findings highlight
that obesity is significantly linked to modifiable dietary and activity patterns,
emphasizing the need for targeted school-based interventions promoting healthy eating
and regular exercise, particularly among children from higher socioeconomic backgrounds.
Addressing these risk factors through public health strategies could help curb the
growing obesity epidemic in this population.
Appendix 1: Questionnaire
The Prevalence of Obesity among Primary School Student in Benghazi Aged 7 to 12 Years
This study aims to measure the prevalence of obesity in children and identify factors
that increase the risk of developing it. If you agree to participate in this study,
please complete the following form. This data will not be used for purposes other
than the study. Thank you for your cooperation.
-
Child's Age.........
-
Child's Gender.........
Measurements
BMI
-
Under weight
-
Normal
-
Over weight
-
Obese
-
Place of Residence
-
○ Apartment
-
○ House
-
○ Villa
-
Number of Meal Deals Per Week
-
○ Once
-
○ Twice
-
○ Three or More Times
-
If the Child's Drinking of Soft Drinks and Juices
-
○ Once
-
○ Twice
-
○ Three or More Times
-
Does the Child Suffer from Any Diseases?
-
Does the Child Have Any Sports Hobbies (Soccer, Swimming, etc.)?
-
Number of Times the Child Participates in Sports Activities Per Week
-
○ Once
-
○ Twice
-
○ Three Times
-
Evaluation of the Family's General Income Level
-
○ 100–500
-
○ 1000–2000
-
○ > 2000
