Underweight, overweight and obesity among Sudanese secondary school children of Khartoum State.
Salih, Osama Awad ; AbdelAziz, Enayat
Abstract
This cross-sectional study was undertaken to determine the
prevalence of underweight, overweight and obesity among 270 Sudanese school-children aged 15-18 years in Khartoum State, Sudan.
Anthropometric measurements of height and weight were made on 270 girls
and boys in six secondary schools located in different areas of
socio-economical strata. The body mass index (BMI) was computed
according to areas of the standard equation. Under nutrition, overweight
and obesity was defined following the internationally accepted BMI
cut-off points. Results revealed that the overall rates of overweight
and obesity were 28.5%% and 5.6%, respectively along 'with the
19.6% prevalence of undernutrition. Rate of overweight was very high
among females (64%) compared to males (36); while the opposite was true
for the obesity rates (60% males; 40% females). Results indicated a very
strong correlation between the incidence of overweight and obesity from
one side and the life style from the other side including: levels of
physical activities, number of meals, nutrient contents of the meals,
sleeping hours, hours of TV watching and means of transportation to and
from the school. Results clearly showed the links between the obesity
and overweight and the presence of chronic and nutrition related
diseases such as diabetes, hypertension, and asthma. In addition,
typical obesity-psychological symptoms such as feelings of social
isolation, frustration and depression were also observed in this study.
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Introduction
Under- nutrition is still considered one of the major problems in
public health in many countries affecting 30% or more of children under
5 years of age; being the most important mortality cause (55%) in this
age group in developing countries (UNICEF, 1998). In developing
countries nutritional deficit during prenatal and continuing in
post-natal life is very common. This condition leads to stunting and
important metabolic changes. Studies (Sawaya et al. 2005) suggested
that, developing countries are harbouring double burden of obesity and
undernutrition, especially among the poor, and suggests that stunting or
chronic undernutrition increases the risk of obesity and hypertension
later in life. Obesity has become a global health problem, affecting
more than 1.3 billion adults in both developed and developing countries
(WHO 2005). Overweight and obesity in childhood are known to .have
significant impact on both physical and psychological health.
Environmental factors, lifestyle preferences, and cultural environment
play pivotal roles in the rising prevalence of obesity worldwide
(Dehghan et.al, 2005). There is no consensus on a cutoff point for
excess fatness of overweight or obesity in children and adolescents.
Williams et a,1992, classified children as fat if their percentage of
body fat was at least 25% and 30%, respectively, for males and females.
The Center for Disease Control and Prevention defined overweight as at
or above the 95th percentile of BMI for age and "at risk for
overweight" as between 85th to 95th percentile of BMI for age.
European researchers classified overweight as at or above 85th
percentile and obesity as at or above 95th percentile of BMI (Dehghan et
al. 2005). According to Bose et al. (2007) and Cole et al. (2000)
individuals are classified as overweight or obese based on their body
mass index (BMI), with the latter category having the higher BMI.
Materials and Methods
This study was conducted during the period April to December 2006.
Two Hundred and Seventy Sudanese schoolchildren aged 6-9 years in
Khartoum State, Sudan. Anthropometric measurements of height and weight
were made on 270 girls and boys in six secondary schools located in
areas of different socio-economical strata. The body mass index (BMI)
was computed following the standard equation (BMI (kg/([m.sup.2]) =
weight/[height.sup.2] ). Under nutrition, overweight and obesity was
defined following the internationally accepted BMI cut-off points. All
schoolchildren were invited to participate in this study and, only 270
agreed to participate. All subjects were required to complete a
questionnaire that included specific questions on age and ethnicity under the supervision of their class teachers. Formal written ethical
consent was obtained from the university and school authorities before
commencement of the study. Written consents were obtained from parents
of all the subjects after verbal concents were given by the students.
Anthropometric measurements included height and weights were done by
trained investigators made all anthropometric measurements following
standard techniques. Height was measured without shoes correct to the
nearest 0.1 cm using a stadiometer, and weight was measured in light
clothes measured to the nearest 0.1 kg using a portable scale. The
weighing scale was calibrated daily before the first measurement was
taken. Height and weight were recorded to the nearest 0.1 cm and 0.5 kg,
respectively. BMI was computed using the standard formula given below:
Overweight and obesity was classified following the internationally
recommended cut-off points (Cole et al. 2000). A chi-square test was
undertaken to test for the association of age with the prevalence of
overweight and obesity. All statistical analyses were performed using
the Statistical Package for Social Sciences 5 (SPSS) package.
Statistical significance was set at P < 0.05.
Results and Discussion
Nutritional status and prevalence of Undernutrition and Obesity
The global prevalence of obesity in children aged 5-17 years is
approximately 10%, but this is unequally distributed, with the
prevalence ranging from less than 2% in sub-Saharan Africa to over 30%
in the Americas (Bose et al, 2007).
One of the limitations of this study was the small sample size
(n=270). However, the findings are interesting; they showed that, 19.6%
of the sample was underweight; 28.5% overweight and 5.6% obese. The
percentage of underweight boys was higher (53%) compared to girls (47%),
Table 1 similarly in the obese category 60% were boys, while in the
overweight category, the percentage of girls (64%) was higher than the
boys (36%). The rates of overweight and obesity observed in the present
study are close to those reported Bose et al. (2007) who found that the
overall rates of overweight and obesity were 17.63% and 5.10%,
respectively. However, Dehghan et al. (2005) stated that 25% of children
in the US are overweight and 11% are obese.
Results also showed that the percentage of underweight subjects
decreases with increasing age in both boys and girls; 72% for age 15 to
16 years; 23% for age 16 to 17 years and 50% for age 17 to 18 years.
An opposite trend was observed in the overweight category were 40%
the overweight subjects, their age was 15-16 years compared to 57% of
the age group 16-17 years. Similarly the highest percentage of the obese
(60%) were in the same age group. Bose et al. (2007) in their studies on
obese children found that, there was a significant increase in the rate
of overweight with increasing age
Lifestyle and Nutritional behavior of the underweight and obese
boys and girls
There is supporting evidence that excessive sugar intake by soft
drink, increased portion size, and steady decline in physical activity
have been playing major roles in the rising rates of obesity all around
the world (Dehghan et al. 2005). The self reported nutritional behaviors
and the lifestyle of the respondents in this study are shown in table2.
Results indicated that, the majority of respondents used to take three
meals per day (66% underweight; 57% overweight and 53% for the obese
categories). However, taking more than 3 meals, was higher among the
obese (20%) followed by overweight (16%) and underweight (9%)
categories.
The major meal for the underweight categories was the lunch (42%),
while breakfast was the major meal for the obese (47%) and overweight
(44%). However, supper comes second to breakfast for the overweight
(35%) and obese (33%).
Looking into the nutrient composition of the major meal as stated
by the respondents, it, was found that carbohydrate rich meals
represents 100% of the meals of the underweight, normal weight, and the
obese categories, compared, to the overweight group where 5% of them eat
meat rich meals. The most noticeable observation for all groups is the
very poor intake of vegetable and legumes.
Other nutritional behaviours were investigated among the study
population, and the response was also reported in Table2. The results of
the number of dishes per meal, showed that, the majority of all
categories took in average 3 dishes per meal (53% for underweight; 50%
for normal; 47% for obese and 39% for the overweight). The overweight
and obese categories were higher in the number of dishes per meal that
is more than 3 dishes (51% & 47% respectively) compared to the other
groups. This result contradicts the previous one (poor intake of
vegetables and legumes), this is mostly due to the fact that most
respondents did not considered the cooked vegetables or legumes when
they answered the question of vegetable and legumes intake. It was also
found that, almost all categories used to eat in shared dishes which is
the common eating style in the Sudanese culture. In order to have an
insight on the availability of food for the offhand consumption by the
respondents, they were asked about having refrigerators and/or fridges
in their home. Results revealed that the majority of the respondents had
refrigerators and/or fridges in their homes. However, the highest
percentages were noticed among the Obese and overweight groups.
Lifestyle and physical activities of the underweight and obese boys
and girls
Numerous studies have shown that sedentary behaviours like watching
television and playing computer games are associated with increased
prevalence of obesity (Dehghan et al, 2005). It is also agreed that the
duration of sleep, television viewing and consumption of fried foods may
be significant factors that contribute to overweight (Kuriyan et al.
2007; Merchant et al. 2007; Kain and Andrade, 1999).
Results (table 3) indicated that nutritional status of the
respondents was closely related to physical activity. The obese group
showed the lowest physical activity (33%), followed by 43% for
overweight, 70% of the normal and 81% for the underweight. Looking into
the means of transportation mainly to and from school as another
indicator of physical activity, showed that only the obese (27%)and
overweight (21%) had private cars (family car)to get them to school. On
the other hand, respondents who used to walk to school were mainly from
the underweight category (51%)compared to 17% overweight and 13% in the
obese group. Similar results were also obtained when the study looked
into sleeping hours of the respondents. Regarding the sleeping hours,
the majority of the underweight (64%) used to sleep for less than 8
hours, compared to 31% of the overweight and 20% of the obese. However,
respondents who sleep for more than 8 hours /day were higher in the
overweight (21%) and obese (13%) compared to only 4% in the underweight.
It was also found that 80% and 52% of the obese and overweight groups
used to slept immediately after eating compared to only 9% of the
underweight. Another interesting result was also observed regarding the
hours spent in watching T.V. which reflects the sedentary lifestyle of
the respondents. For instant the majority of the obese (40%) and
overweight (38%) used to watch T.V. for more than 4 hours/day compared
to only 4% of the underweight group where the majority (85%) of them
spent less than 4 hours watching TV. Results showed that almost 80% of
both obese and overweight groups had air cooler/air conditioner compared
to 25% of the underweight. Regarding doing house work by respondents, it
was found that, very few of respondents did some inside-house work
(mostly girls). However, among those, the highest percentages were among
the underweight (28%) compared to 20% of the overweight and only 7% of
the obese group.
Psychological characteristics and behaviors of the underweight and
obese boys and girls
Overweight and obesity in childhood are known to have significant
impact on both physical and psychological health (Dehghan et al. 2005).
The author found that psychological disorders such as depression occur
with increased frequency in obese children
Certain psychological indicators (Table 4), were more pronounced
among the obese and overweight groups. For instance, feeling of social
isolation was found among 47% and 16% of obese and overweight
respectively. Feeling of depression and frustration was common among
(87% and 40% respectively) the obese groups and also among the
overweight (65% and 23% respectively). However, 9% of the underweight
expressed the same feeling of depression. Feeling of anxiety was also
common among 27% of obese and 13% of overweight. Results also showed
that 73% of obese and 54% of overweight were having a feeling of ashamed
among their peers this was also found among 13% of underweight.
Self-reported diseases among the underweight and obese boys and
girls
The increasing prevalence of obesity, particularly in developing
countries is a major health concern due to the high risk factor that
overweight and obesity present in a number of chronic diseases such as
diabetes, cardiovascular diseases and certain types of cancers Both
under- and over nutrition are known to alter immune competence (Samartin
and Chandra, 2001). In the present study, respondents self-reported
having different nutrition related diseases (Table5), mostly among the
obese and overweight groups. For instant, diabetes was found common
among 18% of the obese and 14% of the overweight compared to 14% in the
underweight group. Eighteen percent of the obese and 16% of the
overweight groups self-reported hypertension along with 14% of the
respondents with normal nutrition status. However, Sawaya et al (2005)
stated that undemutrition should also be recognized as a factor
associated with increased blood pressure in childhood. It is suggested
that not only intrauterine undemutrition but also its occurrence during
childhood may influence the incidence of hypertension in adulthood.
Heart problems were reported by 9% and 2% of obese and overweight
groups respectively. Stomach problems were more common among the
underweight group (43%) and the normal group (33%) compared to 9% of the
obese group. Joints pain was found among 9% of both the obese and
overweight groups but, was higher among the normal subjects (29%). Only
obese and overweight subjects reported asthma.
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Osama Awad Salih and Enayat AbdelAziz, (Nutrition Centre for
Training and Research--Ahfad University for Women)
Table 1. Distribution of respondents by sex, age and nutritional Status
Underweight Normal
n=53 (19.6%) n=125 (46.3%)
Sex: % from % within % from % within
Underweight Sex Normal Sex
Male 52.8 22.6 47.2 47.6
Female 47.2 17.1 52.8 45.2
Age % from % within % from % within
(years): Underweight Age Normal Age
15-16 71.7 24.5 64.8 52.3
16-17 22.6 11.9 28.8 35.6
17-18 5.7 21.4 6.4 57.1
Overweight Obese
n=77 (28.5%) n=15 (5.6%)
Sex: % from % within % from % within
Overweight Sex Obese Sex
Male 36.4 22.6 60 7.3
Female 63.6 33.6 40 4.1
Age % from % within % from % within
(years): Overweight Age Obese Age
15-16 40.3 20 33.3 3.2
16-17 57.1 43.6 60 8.9
17-18 2.6 14.3 6.7 7.1
Table 2. Nutritional behaviour of the study population
Underweight Normal
n = 53 (19.6%) n = 125 (46.3%)
% from % % from %
Number of Underweight within Normal within
Meals
Two meals 24.5 18.1 28 48.6
Three meals 66 20.8 64 47.6
> Three meals 19.4 16.7 8 33.3
Major meal % from % % from %
Underweight within Normal within
Breakfast 37.7 18.3 38.4 44
Lunch 41.5 27.8 30.4 48.1
Supper 20.8 13.4 31.2 47.6
Major nutrients % from % % from %
per meal Underweight within Normal within
Carbohydrates 100 20.2 97.6 46.4
Meat 0.0 0.0 0.8 20
Legumes 0.0 0.0 0.8 100
Vegetables 0.0 0.0 0.8 100
Average No. of % from % % from %
dishes/meal Underweight within Normal within
< Three 30.2 37.2 14.4 41.9
Three 52.8 22 49.6 48.8
> Three 17 9 36 45
Eating style % from % % from %
Underweight within Normal within
Separate Dish 7.5 17.4 13.6 73.9
Shared Dish 92.5 19.8 86.4 43.7
Ownership of % from % % from %
Underweight within Normal within
Refrigerator 60.4 14.5 81.6 46.4
Fridge ' 30.2 11.9 48.8 45.5
Overweight Obese
n = 77 (28.5%) n = 15 (5.6%)
% from % % from %
Number of Overweight within Obese within
Meals
Two meals 26 27.8 26.7 5.6
Three meals 58.4 26.8 53.3 4.8
> Three meals 15.6 40 20 10
Major meal % from % % from %
Overweight within Obese within
Breakfast 44.2 31.2 46.7 6.4
Lunch 20.8 20.3 20 3.8
Supper 35.1 32.9 33.3 6.1
Major nutrients % from % % from %
per meal Overweight within Obese within
Carbohydrates 94.8 27.8 100 5.7
Meat 5.2 80 0.0 0.0
Legumes 0.0 0.0 0.0 0.0
Vegetables 0.0 0.0 0.0 0.0
Average No. of % from % % from %
dishes/meal Overweight within Obese within
< Three 10.4 18.6 6.7 2.3
Three 39 23.6 46.7 5.5
> Three 50.6 39 46.7 7
Eating style % from % % from %
Overweight within Obese within
Separate Dish 1.3 4.3 6.7 4.3
Shared Dish 98.7 30.8 93.3 5.7
Ownership of % from % % from %
Overweight within Obese within
Refrigerator 93.5 32.7 81.5 100
Fridge 59.7 34.3 73.3 8.2
Table 3. Distribution of respondents by physical activities;
transportation; sleeping hours and TV watching.
Underweight Normal
n = 53 (19.6%) n = 125 (46.3%)
Physical % from % % from %
activities Underweight within Normal within
Practicing 81.1 25.6 69.6 51.8
Means of % from % % from %
transportation Underweight within Normal within
Private car .0 .0 7.2 31
Service bus 28.3 13.8 47.2 54.1
Public transport 20.8 19 20 43.1
Walking 50.9 36.5 25.6 43.2
Sleeping hours % from % % from %
Underweight within Normal within
< 8 hours 64.2 26.2 55.2 53.1
hours 32.1 16 33.6 39.6
> 8 hours 3.8 5.9 11.2 41.2
Sleeping after 9.4 5.8 23.2 33.7
eatin
TV watching % from % % from %
hours Underweight within Normal within
< 4 hours 84.9 26 71.2 51.4
4 hours 11.3 14 15.2 44.2
> 4 hours 3.8 3.7 13.6 31.5
Others % from % % from %
Underweight within Normal within
Ownership of 28.3 9.3 59.2 46
collar/condition
Doing house 28.3 125.4 22.4 147.5
work
Overweight Obese
n = 77 (28.5%) n = 15 (5.6%)
Physical % from % % from %
activities Overweight within Obese within
Practicing 42.9 19.6 33.3 3
Means of % from % % from %
transportation Overweight within Obese within
Private car 20.8 55.2 26.7 13.8
Service bus 40.3 28.4 26.7 3.7
Public transport 22.1 29.3 33.33 8.6
Walking 16.9 17.6 13.3 2.7
Sleeping hours % from % % from %
Overweight within Obese within
< 8 hours 31.2 18.5 20 2.3
hours 48.1 34.9 66.7 9.4
> 8 hours 20.8 47.1 13.3 5.9
Sleeping after 51.9 46.5 80 14
eatin
TV watching % from % % from %
hours Overweight within Obese within
< 4 hours 44.2 19.7 33.3 2.9
4 hours 18.2 32.6 26.7 9.3
> 4 hours 37.7 53.7 40 11.1
Others % from % % from %
Overweight within Obese within
Ownership of 77.9 37.3 80 7.5
collar/condition
Doing house 19.5 25.4 6.7 1.7
work
Table 4. Some psychological indicator among the targeted study group:
Underweight Normal
n = 53 (19.6%) n = 125 (46.3%)
% from % % from %
Underweight within Normal within
Feeling of social .0 .0 4 20.8
isolation
Feeling of 9.4 5.1 24 30.6
depression
Feeling of 1.9 3.6 2.4 10.7
frustration
Feeling of 0.0 .0 3.2 22.2
anxiety
Feeling 13.2 8.6 16.8 25.9
ashamed among
peers
Overweight Obese
n = 77 (28.5%) n = 15 (5.6%)
% from % % from %
Overweight within Obese within
Feeling of social 15.6 50 46.7 29.2
isolation
Feeling of 64.9 51 86.7 13.3
depression
Feeling of 23.4 64.3 40 21.4
frustration
Feeling of 13 55.6 26.7 22.2
anxiety
Feeling 54.4 51.9 73.3 13.6
ashamed among
peers
Table 5. Presence of self-reported diseases among the targeted study
group
Underweight Normal
n = 53 (19.6%) n = 125 (46.3%)
% from % % from %
Underweight within Normal within
Diabetes 14.3 11.1 .0 .0
Hypertension .0 .0 14.3 25
Hypotension .0 .0 .0 .0
Heart .0 .0 .0 .0
problems
Joint pain .0 .0 14.3 37.5
Stomach 42.9 33.3 28.8 55.6
problems
Asthma .0 .0 .0 .0
Overweight Obese
n = 77 (28.5%) n = 15 (5.6%)
% from % % from %
Overweight within Obese within
Diabetes 14.3 66.7 18.2 22.2
Hypertension 16.7 58.3 18.2 16.7
Hypotension 4.8 66.7 9.1 33.3
Heart 2.4 25 27.3 75
problems
Joint pain 9.5 50 9.1 12.5
Stomach .0 .0 9.1 11.1
problems
Asthma 2.4 50 9.1 50