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ORIGINAL ARTICLE
:
:
HIGH GLYCEMIC FOOD CONSUMPTION AND NUTRITIONAL STATUS AMONG ADOLESCENTS
IN ABBOTTABAD, PAKISTAN
Anwar Shahzad
1
, Malik Fayyaz Hussain Awaan
2
, Maheen Shah
3
, Amber Tasnim
4
, Anila Farid
5
ABSTRACT
OBJECTIVES
The study aimed to investigate the correlation between high glycemic food
consumption and nutritional status among adolescent students in government
and private schools.
METHODOLOGY
A cross-sectional study was conducted over 6 months on 350 adolescent
students aged 14 to 19 years studying in government and private schools,
selected through simple random sampling in Abbottabad between January
2025 and June 2025. Nutritional status was assessed through selective
anthropometric measurements, while glycemic loads were calculated using
standard parameters from a food frequency questionnaire (FFQ). SPSS 26
version was used for descriptive and inferential analysis
RESULTS
Among 350 students of 14 to 19 years included (53%) male and (47%) female
students of Govt School (53.8%) and Private school (46.2%) students,205
girls participated in the study. Results show that the minimum weight of the
participants was 41 kg, with a maximum of 84 kg and a mean of 57.25 kg.
The minimum height was 132 cm, and the maximum was 185 cm, with a mean
of 162.97 cm. Waist circumference was minimum 65 cm and maximum 95 cm,
with a mean of 76 cm, and (σ) was 6.69. Hip circumference was minimum
78.5 cm and maximum 100 cm, with a mean of 86.46 cm, and (σ) was 4.41.
Waist/Hip ratio was minimum 0.76 cm and maximum 0.97 with a mean of .88,
and (σ) was. 055. Glycemic load was 94, with a minimum and maximum of
168, with 120.42 mean and a standard deviation (σ) of 13.15. Z scores were
1.67, the minimum and maximum were 2.74, and the standard deviation (σ)
was 10.0. Z-scores and Glycemic loads also showed a correlation with p-
values of 0.5. However, with a p -value of 0.02, a robust correlation was
found between the waist-hip ratio and Glycemic loads of foods. Additionally,
p-values of 0.03 with a correlation coecient of 0.2 and p-values of 0.00 in a
2-tailed test showed a strong correlation.
CONCLUSION
A high frequency of SSI was observed following primary closure in enteric
perforation. Neither age nor gender was signicantly associated with SSI,
indicating that other factors, such as contamination level, surgical technique,
and perioperative management, may play a more critical role. Consideration
of delayed primary closure and strict infection-control measures may help
reduce SSI in these high-risk cases.
KEYWORDS: Anthropometric Measurements, Circumference, Correlation,
FFQ (Food Frequency Questionnaire, Glycemic Loads
How to cite this article
Shahzad A, Awaan MFH, Shah M,
Tasnim A, Farid A. High Glycemic
Food Consumption and Nutritional
Status among Adolescents in
Abbottabad, Pakistan. J Gandhara Med
Dent Sci. 2025;12(4):102-105. https://doi.
org/10.37760/jgmds.12-4.667
Date of Submission: 31-08-2025
Date Revised: 25-09-2025
Date Acceptance: 27-09-2025
2
Senior Registrar, Department of
Endocrinology, Abbottabad International
Medical Institute, Abbottabad
3
Associate Professor, Department of
Physiology, Abbottabad International
Medical Institute, Abbottabad
4
Assistant Professor, Department of
Medicine, Abbottabad International
Medical Institute, Abbottabad
5
Lecturer, Department of Biochemistry,
Abbottabad International Medical
Institute, Abbottabad
Correspondence
1
Anwar Shahzad, Associate Professor,
Department of Community Medicine,
Abbottabad International Medical
Institute, Abbottabad
+92-3142244567
redline.shahzad@gmail.com
INTRODUCTION
The glycemic load (GL) of food is an important dietary
concept that combines both the glycemic index (GI) and
the carbohydrate content of food to estimate how much
a food will raise a person’s blood glucose level.
1
In the
context of adolescents, understanding the relationship
between glycemic load and anthropometric
measurements (such as BMI, weight, waist
circumference, body fat %, etc.) is increasingly
important due to the rising rates of childhood and
adolescent obesity, type 2 diabetes, and other metabolic
disorders.
2
High-GL foods cause rapid glucose spikes
followed by insulin surges and eventual hypoglycemia,
leading to increased hunger and overeating.
3
Insulin and
Fat Storage: Insulin promotes fat storage; frequent
spikes in insulin levels may contribute to increased
body fat.
4
Chronic high-GL diets may induce low-grade
inammation, promoting adipose tissue, and may
inuence hormones such as leptin and Ghrelin that
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J Gandhara Med Dent Sci
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regulate appetite.
5
Cardiovascular diseases, cancer, and
other health problems, such as age-related macular
degeneration.
6
Several pieces of evidence regarding the
effects of dietary GL on diabetes, obesity, and
hypertension in adolescents have been noted.
7
The
comparison of a low-glycemic-load diet showed neutral
effects on obesity in adulthood; observational studies
have reported controversial ndings among children.
8
Waist circumference (WC), Body mass index (BMI),
and body fat were evaluated in the mentioned studies.
9
Some studies have focused on a single meal, examining
appetite, satiety, food intake, and energy intake.
10
METHODOLOGY
RESULTS
A study was carried out on 350 students, including
adolescent age students between 14 and 19 years, which
included (54%) male and (46%) female students. This
study includes students from government schools (55%)
and private schools (45%). Findings were based on
Nutritional measurements, including anthropometric
measurements, nutritional behavior, and Glycemic
consumption of food. Table 1 shows that the minimum
weight of the participants was 41 kg, the maximum was
84 kg, and the mean was 57.25 kg. Waist/Hip ratio was
minimum 0.76 cm and maximum 0.97, with a standard
deviation of 0.05. The Maximum Glycemic load was
168 with a standard deviation (σ). Maximum Z scores
were 2.74, with a 1.54 mean and a standard deviation
(σ) of 1.00. The table shows the. Correlation of the
dierent variables with p values and 2-tailed Pearson
correlation. There is a positive correlation with
significant p-values of 0.05 between weight and
Glycemic loads; likewise, Z-scores and Glycemic loads
also show correlations with p-values of 0.05. There is a
robust correlation between waist-hip ratio and
Glycemic loads of foods, with a p-value of 0.03.
Table 1: Demographics of the participants
Descriptive
statistics
Minimu
m
Maxim
um
Mean Std.
Deviat
ion
Weight of the
participants (Kg)
41 Kg 84 Kg 57Kg 3.7
Waist-Hip Ratio
of the participants
0.76 0.97 0.88 2.1
Glycemic load of
the participants
94.00 168.00 120.42 2.2
Z Scores 1.06 2.74 1.54 1.00
Table 2: Correlation of the Demographic DATA to Nutritional
DATA
Glyce
mic
Load
Z
Scores
Daily
caloric
count
Waist-
Hip
Ratio
Weig
ht
(Kg)
Glycem
ic Load
Pearson
Correlation
- +0.6 +0.7 +0.3 +0.6
Sig. (2-
tailed)
- 0.00 0.00 0.00 0.00
Z
Scores
Pearson
Correlation
+0.6 +1 +1 +0.5 +1.0
Sig. (2-
tailed)
0.00 - 0.00 0.00 0.00
Daily
caloric
count
Pearson
Correlation
+0.8 +0.6 +1 0.0 +0.6
Sig. (2-
tailed)
0.00 0.00 - 0.00 0.00
Waist-
Hip
Ratio
Pearson
Correlation
+0.5 +0.5 +0.35
+1 +0.5
Sig. (2-
tailed)
0.00 0.00 0.00 - 0.00
Weight
(Kg)
Pearson
Correlation
+0.6 +0.8 +0.6 +0.5 +1
Sig. (2-
tailed)
0.00 0.00 0.00 0.00 -
Figure 1: Shows a Strong Positive Correlation between Glycemic
Load and the Weights of the Study Population
High Glycemic Food Consumption and Nutritional Status
A cross-sectional study was conducted among 350
students from the 14-year to 19-year age group with no
apparent metabolic disorders in selected Government
and private schools of Abbottabad. Ethical Approval was
taken from the institution having reference:R/AIMC/
14/2025, dated: 2nd January 2025. Students were
selected through simple random sampling, including
both girls and boys. Students below 13 years of age and
those above 19 Years of age, as well as those with
apparent metabolic disorders, were excluded. To conduct
this research, dierent study tools were used, including
FFQs, Anthropometric measurements (such as weight,
Height, BMI, and waist circumference), and a survey
questionnaire. The research primarily focused on
observing the dietary habits of the students in relation to
the glycemic loads of the foods consumed by the study
11
population. The specied FFQ was used to measure the
grams of dierent foods consumed, and the standard
Glycemic index of the consumed foods was used to
calculate the glycemic loads of the foods. GL (Glycemic
Load) = Glycemic Index x Grams (food consumed)/100.
Z-scores of the values were calculated by the formula Z=
X-ꭒ/ȏ. SPSS version 26 was used for statistical analysis.
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Figure 2: Shows a Strong Correlation between Glycemic Load
and the Waist/Hip Ratio
Figure 3: Glycemic Load with Daily Caloric Count
Figure 4: Glycemic Load with Z Scores
DISCUSSION
Study shows a positive correlation with signicant P
values 0.00 with Gender and weight, Glycemic loads,
and Z scores show a strong correlation with p values <
0.05. A study by Murakami et al.
9
(2011) focused on a
food frequency questionnaire designed to assess daily
food intake. Nutrient proles gathered from the FFQ
were compared with those obtained from a self-report
assessment form compiled after every meal.
12
In this
study, regression analysis and correlation coecients
were calculated using the data obtained from the food
frequency questionnaire and the self-report forms.
13
Correlation coecients ranged from 0.23 to 0.91, with
85% of the values exceeding 0.50 and 55% exceeding
0.71, as noted in the study by Previa et al.
14
A study by
Queiro et al does not support an eect of GL on weight
change. The positive and signicant association
between GL and subsequent gain in waist
circumference may imply a benecial role of lower GI
diets in preventing abdominal obesity. An Italian study
in both genders also showed a positive association
between GL and BMI. However, data from
subpopulations of a Danish cohort presented a different
picture from that presented in the Italian study.
15
There
was a positive association between GL and BMI in
sedentary Danish women, with the more remarkable
association likewise in school-age children in Hong
Kong, Latino teens, Danish girls under 16 years old,
and Danish boys under 10 years, However, in Danish
boys 10-16 years old, observed positive association
between GL and skin fold measures of fatness.
16
Numerous studies conrm that weight loss can occur in
the short term (less than 6 months) when dietitians
employ a low-glycemic index (low GI) strategy
compared to other diet strategies. However, in strictly
controlled calories, the GL of the diet makes no
difference.
17
Such ndings were armed in a Cochrane
review. Mean BMI lowered from the lowest to the
highest tertile of Gl by 26.59 to 26.18 kg/m² in men (p
~ 0.03), and by 24.71 to 25.69 kg/m² in women (p <
0.001).
18
A recent randomized trial of 330 individuals
with obesity (mean BMI = 36) in a dieting situation
with intensive behavioral interventions showed that a
reduced-carbohydrate, low-glycemic index diet
achieved the same weight loss over 2 years.
19
Based on
the ndings, it can be assumed that overweight/obese
adolescents from public schools were more responsive
to the study recruitment and more homogeneously
interested in being evaluated. In a study conducted by
Smith et al., Waist circumference and waist-to-hip ratio
were the strongest predictors of BMI (p = 0.001). Over
one-third of the participants were overweight.
20
LIMITATIONS
This study is limited to adolescent-age students, whose
dietary habits are often disrupted by their busy
schedules.
CONCLUSIONS
High glycemic loads of food consumed in
the
High Glycemic Food Consumption and Nutritional Status
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J Gandhara Med Dent Sci
October - December 2025
adolescent age group result in a deranged nutritional
status and weight gain. Additionally, other parameters,
such as waist circumference and waist-to-hip ratios, are
affected by the consumption of high-glycemic foods in
adolescent age groups.
CONFLICT OF INTEREST: None
FUNDING SOURCES: None
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AUTHORS CONTRIBUTION
The authors accept responsibility for all aspects of the work
and will ensure that any concerns regarding the accuracy or
integrity of any part are properly investigated and resolved.
Anwar Shahzad - Concept & Design; Data
Analysis/Interpretation; Drafting Manuscript; Final Approval
Malik Fayyaz Hussain Awaan - Concept & Design; Data
Acquisition; Drafting Manuscript; Final Approval
Maheen Shah - Concept & Design; Data
Analysis/Interpretation; Drafting Manuscript; Critical
Revision; Final Approval
Amber Tasnim - Concept & Design; Data Acquisition; Drafting
Manuscript; Supervision; Final Approval
Anila Farid - Concept & Design; Data Analysis/Interpretation;
Drafting Manuscript; Final Approval
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High Glycemic Food Consumption and Nutritional Status