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Journal of
Functional Morphology
and Kinesiology
Article
Prevalence of Overweight and Obesity in a Primary
Healthcare Center in Goiania City
Carlos Alexandre Vieira *, Paulo Gentil ID , Mário Hebling Campos ID ,
Wanderson Divino Nilo dos Santos ID , Gustavo de Conti Teixeira Costa ID ,
Claudio AndréBarbosa de Lira ID , Elen Cristine Gomes Prado and Tadeu João Ribeiro Baptista ID
College of Physical Education and Dance, Federal University of Goias–UFG, 74690-900 Goiania, Brazil;
paulogentil@hotmail.com (P.G.); mariohcampos@gmail.com (M.H.C.); wanderson.nilo@gmail.com (W.D.N.d.S.);
conti02@hotmail.com (G.d.C.T.C.); andre.claudio@gmail.com (C.A.B.d.L.); elencristine88@gmail.com (E.C.G.P.);
tadeujrbaptista@yahoo.com.br (T.J.R.B.)
*Correspondence: vieiraca1@uol.com.br; Tel./Fax: +55-062-3521-1141
Received: 19 March 2018; Accepted: 3 May 2018; Published: 8 May 2018
Abstract:
Background: The aim of the present study was to determine the prevalence of overweight and
obesity in volunteers supported by a primary healthcare center in Goiania city. Methods: The prevalence
of overweight and obesity was calculated using data from a public primary healthcare center in the city of
Goiania, Brazil, which serves approximately 10,000 patients. Data were collected between September
and October 2011 from individuals aged 20 years or older via medical records. Seven hundred and
eighty-nine patients participated in the present study, 546 women (43.9 ±16.4 years, 66.2 ±13.3 kg,
1.6
±
0.1 m) and 243 men (46.0
±
17.2 years, 73.7
±
14.7 kg, 1.7
±
0.1 m). RESULTS: The analysis of
variance indicated no significant difference in BMI distribution between genders (p= 0.0763), however,
there was a significant difference between age groups (p= 0.0000) and a significant association
between gender and age (p= 0.0196). The percentage of overweight and obesity was above 40% and
the percentage of obese was 15% in the population studied. The results show a high prevalence of
overweight and obesity among adults, especially the elderly. Conclusions: There is a high prevalence
of overweight and obesity among adults and the elderly, with a significant difference between age
groups and an increase in BMI with age.
Keywords: overweight; obesity; public health; unified health system
1. Introduction
Both overweight and obesity are continuously increasing worldwide, and in the United States
and Brazil have reached levels higher than 16% of the population [
1
]. The prevalence of obesity in
the United States in 1991 was roughly 12% and by 2001 had increased to 20.9% of the population,
which represents an augmentation of 74% [
2
]. In addition, the prevalence of overweight also increased
from 45% to 58% between 1991 and 2001 [
2
]. Ogden et al. [
3
] highlighted that the prevalence of obesity
among men increased significantly between 1999 and 2000 (27.5%) and between 2003 and 2004 (31.1%).
Among women, there was no significant increase during these periods (33.4% and 33.2%, respectively),
nevertheless, the values were still high. The prevalence of morbid obesity between 2003 and 2004 was
2.8% and 6.9% for men and women, respectively.
In a study by Gutiérrez-Fisac et al. [
4
] regarding the prevalence of overweight and obesity among
the elderly in Spain, approximately 49% of men and 39.8% of women were overweight, and 31.5%
and 40.8% were obese. This study also highlighted that the prevalence decreased with advanced age
in both sexes. Among elderly men aged 60–69 years old, the values were higher (35%) than in older
J. Funct. Morphol. Kinesiol. 2018,3, 27; doi:10.3390/jfmk3020027 www.mdpi.com/journal/jfmk
J. Funct. Morphol. Kinesiol. 2018,3, 27 2 of 6
subjects aged
≥
80 years old (19.4%), and among older women the values also decreased from 43.8% to
29.2% when comparing the age ranges (60–69 and ≥80 years old).
Fakhouri et al. [
5
], conducted a survey on the prevalence of obesity among the elderly in the
United States. This study emphasized that for the elderly aged 65 years or older, the prevalence of
obesity was approximately 35% between 2007 and 2010, with no significant difference between the
sexes, but with significant differences between ages. The elderly aged 75 years or older had a lower
prevalence of obesity when compared with older individuals aged 65 to 74 years (27.8% and 40.8%,
respectively).
In clinical practice, overweight and obesity are often determined by the values of the body mass
index (BMI). For most cases this instrument can classify the individuals adequately [
6
], in addition to
being a practical and accessible method. Several studies have shown a positive correlation between
BMI and mortality; showing that BMI values, either above or below the normal values, are associated
with an increased risk of premature death [7].
Overweight and obesity have a strong association with chronic disorders such as diabetes,
cardiovascular diseases, and cancer [
8
–
13
]. The prevalence of adults with type 2 diabetes has increased
in recent decades, coinciding with the rise in obesity epidemics [
8
]. Mokdad et al. [
2
], found a higher
incidence of diabetes, high blood pressure levels, and high cholesterol levels in individuals with
overweight and obesity than in the population with a body weight within the range understood
as healthy.
This combination results in a financial burden on the healthcare system that can be relieved by
public policies that make it possible to identify, classify, and enable public access to the interventions
that can contribute to the control of and/or reduction in body weight. Thus, determining the incidence
of overweight and obesity in each population is important for the development of public health
policies. Moreover, understanding the prevalence of excessive body weight in specific regions might
be important in order to understand the scenario and also to provide data for further comparisons,
allowing insight into differences and similarities among different contexts.
Therefore, the aim of the present study is to determine the prevalence of overweight and obesity
in volunteers at the primary healthcare center in the city of Goiania, Brazil.
2. Materials and Methods
The prevalence of overweight and obesity was calculated using data from a public primary
healthcare center in the city of Goiania, Brazil, which serves approximately 10,000 individuals from
the peripheral population. These healthcare centers are a part of a strategy of the Brazilian Health
Single System, called SUS (Sistema Único de Saúde, Goiânia, Brazil). These centers serve the nearby
population, in this case the peripheral population of the east region of Goiania City.
Data were collected between September and October in 2011 from the latest medical records of
individuals aged 20 years or older. The exclusion criteria included being less 18 years old and having
chronic diseases that could impact BMI (like cancer, AIDS, etc.). A total of 802 medical records from the
healthcare center were eligible for participation in the present study who were followed by a Family
Health Strategy team involved with 3000 to 4000 patients. After an initial data analysis of the patients’
records, 13 were excluded from further analysis due to missing data. The data used in the present study
included the age, weight, and height of 789 patients: 546 women (43.9
±
16.4 years, 66.2
±
13.3 kg,
1.6
±
0.1 m) and 243 men (46.0
±
17.2 years, 73.7
±
14.7 kg, 1.7
±
0.1 m) who were registered with the
Family Health Strategy team’s physician. The volunteers gave consent for the use of the data and the
manager of the healthcare center authorized the use of the data for scientific purposes. The study was
approved by the Human Research Ethics Committee of the Federal University of Goias (CEP/CAAE:
64091717.0.0000.5083, 9 March 20117). All procedures were in accordance with recommendations from
the Declaration of Helsinki.
Weight and height were measured using a balance scale and stadiometer (Filizola PL200, São Paulo,
Brazil) with accuracy of 100 g and 0.1 cm, respectively. Body mass index (BMI) was calculated by
J. Funct. Morphol. Kinesiol. 2018,3, 27 3 of 6
dividing the weight in kilograms by the square of the height in meters and was rounded to the
nearest tenth of the last recorded weight. Overweight was defined when the body mass index was
between 25.0 and 29.9 kg/m
2
, and obesity at 30.0 kg/m
2
or higher [
14
]. The participants of each
gender (women, w; men, m) were stratified into five age categories: 20–29 (20
≤
age
≤
29 years),
30–39
(30 ≤age ≤39 years)
, 40–49 (40
≤
age
≤
49 years), 50–59 (50
≤
age
≤
59 years), and elderly
(age ≥60 years).
The Kolmogorov-Smirnov test showed that the data were not normally distributed. For each
group, the median and interquartile range of the BMI are presented (Table 1). To compare the BMI
among age groups and between genders, the Ranking Transformation type RT-1 [
15
] was performed
on all data and an unbalanced two-way analysis of variance (ANOVA) was applied to the ranks.
For comparisons in which the null hypothesis (the groups’ medians were not different) was rejected,
the Tukey–Kramer multiple comparison procedure was applied. Pearson’s linear correlation test
was used to check whether there was a linear relationship between BMI and age in each gender.
The prevalence of overweight or obesity (BMI
≥
25 kg/m
2
) and obesity (BMI
≥
30 kg/m
2
) in each
gender and age group are presented as bar graphs (Figure 1). The significance level was set at 5%,
and data analyses were performed using Matlab®(The MathWorks, Natick, MA, USA).
Table 1.
Body mass index (kg/m
2
) of patients of the public primary healthcare center in the city of
Goiania, Brazil.
Variables Women Men
Age Group
20–29
30–39
40–49 50–59 Elderly
20–29
30–39 40–49 50–59 Elderly
Median
24.2 *
25.5 ** 26.3 27.6 28.0
22.0 ***
25.6 27.5 26.7 26.5
IQR 6.5 6.7 7.2 8.1 6.1 5.0 5.4 6.1 4.7 4.9
IQR–Interquartile range; * lower than women older than 39 years; ** lower than women older than 49 years; *** lower
than men older than 29 years.
J. Funct. Morphol. Kinesiol. 2018, 3, x 3 of 6
between 25.0 and 29.9 kg/m2, and obesity at 30.0 kg/m2 or higher [14]. The participants of each gender
(women, w; men, m) were stratified into five age categories: 20–29 (20 ≤ age ≤ 29 years), 30–39 (30 ≤
age ≤ 39 years), 40–49 (40 ≤ age ≤ 49 years), 50–59 (50 ≤ age ≤ 59 years), and elderly (age ≥ 60 years).
The Kolmogorov-Smirnov test showed that the data were not normally distributed. For each
group, the median and interquartile range of the BMI are presented (Table 1). To compare the BMI
among age groups and between genders, the Ranking Transformation type RT-1 [15] was performed
on all data and an unbalanced two-way analysis of variance (ANOVA) was applied to the ranks. For
comparisons in which the null hypothesis (the groups’ medians were not different) was rejected, the
Tukey–Kramer multiple comparison procedure was applied. Pearson’s linear correlation test was
used to check whether there was a linear relationship between BMI and age in each gender. The
prevalence of overweight or obesity (BMI ≥ 25 kg/m2) and obesity (BMI ≥ 30 kg/m2) in each gender
and age group are presented as bar graphs (Figure 1). The significance level was set at 5%, and data
analyses were performed using Matlab® (The MathWorks, Natick, MA, USA).
Table 1. Body mass index (kg/m2) of patients of the public primary healthcare center in the city of
Goiania, Brazil.
Variables Women Men
Age Group 20–29 30–39 40–49 50–59 Elderly 20–29 30–39 40–49 50–59 Elderly
Median 24.2 * 25.5 ** 26.3 27.6 28.0 22.0 *** 25.6 27.5 26.7 26.5
IQR 6.5 6.7 7.2 8.1 6.1 5.0 5.4 6.1 4.7 4.9
IQR–Interquartile range; * lower than women older than 39 years; ** lower than women older than 49
years; *** lower than men older than 29 years.
Figure 1. The prevalence of overweight and obesity in women (left) and men (right), who were
patients of a primary healthcare center in the city of Goiania, Brazil.
3. Results
The variance analysis indicated no significant difference between genders for BMI (p = 0.0763);
however, a significant difference among age groups was verified (p = 0.0000) since there was an
association between gender and age (p = 0.0196). For both genders, the BMI increased with age (Table
1). The median BMI was within the overweight range for every group, except for the youngest. The
BMI of women showed a linear relationship with age according to Pearson’s test (R = 0.9811; p =
0.0031), whereas that of men did not (R = 0.7084; p = 0.1805). Similar to women, the men’s BMI was
lower for the youngest group (20–29), however, it abruptly increased at ages 20–29 and 30–39 and
remained stable in the other age groups.
Among the groups analyzed, 36.1% were only overweight and 23.8% were obese, resulting in a
total of 59.9% classified as overweight or obese. The percentage of overweight and obesity was above
50% in the population studied, with the exception of young men: 25.5% (overweight and obesity) and
5.9% (obesity) (Figure 1). Greater than 50% of the population over 29 years old was overweight or
Figure 1.
The prevalence of overweight and obesity in women (
left
) and men (
right
), who were patients
of a primary healthcare center in the city of Goiania, Brazil.
3. Results
The variance analysis indicated no significant difference between genders for BMI (p= 0.0763);
however, a significant difference among age groups was verified (p= 0.0000) since there was an
association between gender and age (p= 0.0196). For both genders, the BMI increased with age
(Table 1). The median BMI was within the overweight range for every group, except for the youngest.
The BMI of women showed a linear relationship with age according to Pearson’s test (R= 0.9811;
p= 0.0031
), whereas that of men did not (R= 0.7084;
p= 0.1805
). Similar to women, the men’s BMI
J. Funct. Morphol. Kinesiol. 2018,3, 27 4 of 6
was lower for the youngest group (20–29), however, it abruptly increased at ages 20–29 and 30–39 and
remained stable in the other age groups.
Among the groups analyzed, 36.1% were only overweight and 23.8% were obese, resulting in a
total of 59.9% classified as overweight or obese. The percentage of overweight and obesity was above
50% in the population studied, with the exception of young men: 25.5% (overweight and obesity) and
5.9% (obesity) (Figure 1). Greater than 50% of the population over 29 years old was overweight or
obese. The highest overweight prevalence was found in elderly women (75.9%) and men aged 50 to 59
years (74.3%). The highest obesity prevalence was found in women aged 50 to 59 years old (37.4%)
and men aged 40 to 49 years old (35.2%), as demonstrated in Table 2.
Table 2.
Overweight and obesity prevalence (%) of patients of the public primary healthcare center in
the city of Goiania, Brazil.
Variables Women Men
Age Group
20–29 30–39 40–49 50–59 Elderly 20–29 30–39 40–49 50–59 Elderly
Overweight 26.8 32.2 36.3 34.0 45.3 19.6 48.8 37.0 51.4 45.2
Obesity 16.5 20.7 27.3 37.4 30.6 5.9 17.1 35.2 22.9 17.7
4. Discussion
The aim of the present study was to analyze the prevalence of overweight and obesity in
volunteers from a primary healthcare center in the city of Goiania, Brazil. For both genders, the central
tendencies of the five age groups were analyzed (Table 1), and the prevalence of overweight or obesity
(BMI ≥25 kg/m2) and obesity (BMI ≥30 kg/m2) were presented (Figure 1).
According to data generated by Vigitel [
16
] in Brazil, 54.7% of men and 47.4% of women were
overweight, and the values for obesity were 17.5% for both genders. In Goiania City, the values for
overweight and obesity in both genders are approximately 48% and 16%, respectively, which is in
good agreement.
Other studies have evaluated the level of overweight and obesity in the population of Goiania
City. Peixoto et al. [
17
], found an obesity value of over 70% in the elderly population of Goiania
city, which is larger than that found in the present research. Carnelosso et al. [
18
], studied the same
population and found 44.1% of overweight and obesity. Thus, the present study estimates an overall
increase in this health problem, demonstrating the requirement for governmental action.
Silva et al. [
19
], performed a population-based study throughout the Brazilian territory (North,
Northeast, Southeast, South, and Midwest) involving 81,745 adults of both genders aged between
20 and 59 years old. The prevalence of overweight and obesity in men was 30.4% and 8.1%, respectively;
and among women, the prevalence was 25.3% and 11.5% for overweight and obesity, respectively.
In the Midwestern region of the country, the prevalence of overweight was 29.5% and obesity 9.7%,
while the present study found 36.1% of adults were overweight and 23.8% were obese.
The trend of an increasing prevalence of overweight and obesity in the population has been
reported over the years [
20
]. This fact appears to be restricted to certain socioeconomic levels, as can
be seen in the study by Monteiro and Conde [
20
], in which a secular trend of obesity according to
social strata was reported following a comparison between the Northeast and Southeast of Brazil.
Between 1975 and 1989, the development of obesity increased evenly in the two regions. During the
period between 1989 and 1997, there was an increase in obesity in men in both regions, which was
most significant in the Northeast. For women, this increase was more pronounced for intermediate-
and high-income strata. In the Southeast region, there was a decline for intermediate and high-income
levels, and a significant increase for the low-income strata. The data in the present study were collected
from a low-income region and the results confirm the same upward trend.
Flegal et al. [
21
], analyzed the prevalence of adult obesity from 2009 to 2010 using the National
Health and Nutrition Examination Survey (NHANES). The results showed that the prevalence of
J. Funct. Morphol. Kinesiol. 2018,3, 27 5 of 6
obesity was 35.5% among adult men and 35.8% among adult women. The average value of obesity
prevalence in our study was 15% for both sexes, however, for women aged between 50 and 59 years
and men aged between 40 and 49 years, the results were 37.4% and 35.2% respectively, which correlates
with the findings of Flegal et al. [21].
Among elderly women, the prevalence of overweight and obesity was 75.9%, and among elderly
men the prevalence was 62.9%. The present results follow the trend of other studies, as can be
seen from Gutiérrez-Fisac et al. [
4
], in which 80.5% of men and 80.6% of women were found to
be either overweight or obese. Fakhouri et al. [
5
], showed that during the periods of 1999–2002,
2003–2006, and 2007–2010, there was a linear increase in the prevalence of obesity among elderly men.
A comparison between 1999–2000 and 2007–2010 showed that the values increased by approximately
10% and 8.8% for elderly men (65–74 and 75 years or older, respectively). For women, the results were
not statistically significant over the same period or between groups.
There exists scientific evidence associating weight gain and obesity with an increased risk of
developing other diseases such as diabetes [
2
,
22
–
24
] cancer [
10
,
11
,
13
,
22
,
23
], metabolic syndrome,
coronary heart disease, and hypertension [
8
,
22
–
24
]. Moreover, there is strong evidence of the
importance of physical activity in reducing weight and maintaining a healthy weight after weight loss,
as well as the benefits of an active lifestyle for health and a good quality of life [7].
The present study has important limitations related to the lack of information regarding the level
of physical activity, socioeconomic level, and education of the population evaluated. This information
could contribute to the deepening of knowledge and reflection of the problem and provide parameters
for the creation of public policies. However, the data obtained may help to define health policies for
the community studied, and allow comparisons with other populations.
5. Conclusions
The present results show a high prevalence of overweight and obesity among adults and the
elderly, and a significant difference among age groups was verified with BMI increasing with age.
These findings make it possible to create effective public policies that can contribute to the control of
obesity and reduce the financial impact of these disturbances in public sectors, enabling accessibility
and better living conditions for this population.
Author Contributions: E.C.G.P. and T.J.R.B. study design and data acquisition; C.A.V., P.G., M.H.B., W.D.N.d.S.,
G.d.C.T.C., C.A.B.d.L., E.C.G.P. and T.J.R.B. data analysis, manuscript drafting and revision
Conflicts of Interest: The authors declare no conflicts of interest.
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2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
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