HORMONES 2010, 9(3):253-262
Research paper
High rates of obesity prevalence in adults living in Central Greece: Data from the ARGOS Study
George N. Koukoulis1, Christina Sakka1, Fotis Katsaros1, Maria Goutou1, Sofia Tsirona1, Efthimia Tsiapali1, Aristea Piterou1, Ioannis Stefanidis2, Nikolaos Stathakis3

1Department of Endocrinology and Metabolism, 2Department of Nephrology and 3Department of Internal Medicine, University Hospital, School of Medicine, University of Thessaly, Larissa, Greece


OBJECTIVE: To investigate the prevalence of obesity in adults of a large region of Central Greece. DESIGN: The target group was adults aged 18 to 79 years who were residents of the region of Thessaly for at least one year. A sample of 852 individuals stratified for sex and age were included. Each subject underwent a thorough physical examination and body mass index (BMI) was calculated from body weight and height. Waist and hip circumferences as well as body fat content were additionally measured. RESULTS: Mean (SD) BMI for the total population was 27.5±5.5 and was significantly higher in males than in females (28.2±4.4 vs. 26.9±6.2, p<0.001). The overall prevalence of obesity was 26.6% distributed equally between men (27.8%) and women (25.6%), whereas prevalence of overweight was 39.4% with male predominance (50.8% vs. 29.3%, p<0.001). Morbid obesity (MO) was found in 3.5% with female predominance. The prevalence of central obesity, using waist circumference cut-off points (>102cm for men, >88cm for women), was comparable in males (40.4%) and females (35.3%). There was a positive association between obesity, central obesity, and age. The prevalence of overweight (19.5%) and obesity (9.4%) in the age-range of 18-29 years almost doubled in the next decade of age and attained the highest value, respectively, in the age-range of 50 to 59 (48.2%), and of 60 to 70 years group (38.9%). CONCLUSIONS: The rates of overweight and obesity in the population of Thessaly are relatively high with overweight being more prominent in males than in females, whereas MO was higher in females compared to males.


Central obesity, Morbid obesity, Obesity, Overweight

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Obesity (OB), a health problem associated with serious clinical consequences, is attaining epidemic proportions in both developed and developing societies.1 In the last four decades the age-adjusted prevalence of OB has dramatically increased in several western countries.2-5 The current prevalence of OB is 10-25% in most western European countries3 and 30% in the USA.5 In addition, data from the WHO Global Database6 on Body Mass Index (BMI) indicate that rates of OB in Europe and North America are even higher. The recent report of the WHO on Diet, Nutrition, and the Prevention of Chronic Diseases placed OB at the top of the public health agenda as the foremost avoidable risk factor for a wide range of non-communicable diseases.7

Obesity in adults is associated with excess risk of coronary heart disease (CHD) and mortality.8 CHD mortality rates have been found to be much lower in Mediterranean countries than in northern European countries. This was first reported in 1960 when the Seven Countries’ Study was conducted9 and remained valid in the reevaluation of 1991.10 However, in 1991, compared to 1960, a significant increase in the BMI of Greek participants was observed.11

Data on the prevalence of obesity in Greece are limited. During the last decade a limited number of cross-sectional studies examining the prevalence of OB in Greek adults have been conducted. In a recent nationwide, cross-sectional epidemiological survey12 the reported prevalence of obesity in adults was 22.5%, an incidence significantly higher than that found in two local studies conducted in different regions of the country, namely Attica13 and northern Greece.14 However, there were limitations in the above-mentioned studies. The study conducted in Attica13 included mainly subjects living in an urban area where OB is less prevalent,15 while in the other local study13 the estimation of OB prevalence was based on self-reported data, a method underestimating BMI.16 This was also the case in the nationwide epidemiological survey,12 but more importantly, the studied sample was not age-stratified to the Greek adult population. Therefore, we decided to conduct a well-designed epidemiological survey in Thessaly, a large region of the country with urban and rural areas, in order to estimate the prevalence of OB and compare it to recently published data.


Sample Selection

The Adult Regional Greek Obesity Survey (ARGOS) is a community-based health and nutrition study, which is being carried out in the region of Thessaly, Central Greece, with a population of 625,000 adult inhabitants living in urban (60%) and rural (40%) areas.17 According to the population census, areas with less than 2,000 inhabitants were defined as rural. A cluster random sample was drawn from the adult population. The target group was adults, aged 18 to 79 years, who were residents of the region of Thessaly for at least one year. The sample size for our population survey was estimated according to power analysis accepting a confidence level of 95% and a margin of error of approximately 3% while taking into account the census of 2001 and the previous Greek studies which had estimated the prevalence of obesity in adults. The data were collected from 2001 through 2003. The goal of the survey was to gain insights into the prevalence of obesity, its metabolic consequences and the adults’ nutrition habits.

For random sample selection the cluster (or area) sampling technique was used.18 The total population was divided into geographical clusters corresponding to the four provinces of the whole region. The sample size in each province was estimated according to its population. The sample was then collected from the capital of each province (typically the main city of the province) as well as from other towns and villages, which were selected using simple random sampling.18 The sample size was proportional to the population of the capital, towns, and villages of each one of the four provinces according to the census of 2001 of the National Service for Statistics. In the four main cities the sample was selected by using city blocks as clusters and complete households within the cluster were surveyed. In the towns and villages, the number of local households was divided by the estimated sample size in each one and the result was used as the factor for household selection. Sampling was restricted to adults only and from each household one adult was selected randomly.

An interview was arranged for each participant who was instructed to report in the morning at 09.00 after an overnight fast (at least 12 hours). Subjects were asked to bring all of their regular medications with them. The overall response rate was 79%. From 1,152 inhabitants who were contacted, 958 agreed to participate; however, the study was completed in 915 adults of both sexes with age ranging from 18-79 years. Informed consent was obtained from all responders and the protocol was reviewed and approved by the Ethics Committee of the University Hospital of Larissa (University of Thessaly, School of Medicine).


The participants were interviewed in a public health office. Each subject underwent a thorough physical examination. Blood pressure was measured twice on the right arm with subjects seated, after at least 20 min of rest, using a standard mercury sphygmomanometer. The mean of the two readings was registered as each individual’s blood pressure. Body weight and height were measured without shoes. Weight was measured with the same level balance to the nearest 100 grams (Wunder SAN150A, maximal capacity 150 Kg, graduations 0.1 Kg) and height was measured against a wall tape to the nearest 0.5 cm. Waist and hip circumferences were measured using a plastic non-stretchable tailor’s measuring tape, at a level midway between the lower rib margin and iliac crest and around the buttocks at the level of the maximum extension, respectively, to the nearest centimetre. Waist-to-hip (W/H) ratio was then calculated. The waist circumference (WC) and the W/H ratio were used to define central obesity. A W/H ratio ≥0.95 in males and ≥0.80 in females as well as a WC of ≥94 cm in males and ≥80 cm in females were considered to represent central obesity.19 The WC <94 cm in males and <80 cm in females were considered equivalent to a BMI of 25 as it is recommended for Europeans.20 However, since a WC ≥102 in males and ≥88 cm in females are used to define central obesity in metabolic syndrome, we used both cut-offs. Body mass index (BMI; kg/m2) was calculated from the body weight (W) and height (H) according to Quetelet’s formula: BMI=W/H (the weight in kilograms divided by the square of the height in meters).21 The body fat content (% fat mass) was assessed by means of bioelectrical impedance analysis, using a commercial bio-impedance analyser (Omron HBF 302 Body Fat Analyser, Omron Healthcare Inc., Vernon Hills, IL, USA) with the patient in standing position. Weight status was classified according to the WHO definitions:22 Underweight (UW): BMI <18.5, normal weight (NW): BMI between 18.5 and 24.9, overweight (OW): BMI between 25 and 29.9, obese: BMI >30, and extremely or morbidly obese (MO): BMI ≥40. Each participant also completed a questionnaire inquiring about health status and health behaviours (smoking, alcohol intake, nutrition habits, etc) under medical supervision.

Statistical analysis

Normal distribution of the variables was checked by the Kolmogorov-Smirnov test. Continuous variables are presented as mean values and one standard deviation (mean (SD)) or median and interquartile range (median (IQR)) as appropriate, while qualitative variables are presented as absolute and relative frequencies. Categorical variables were tested by the use of contingency tables and the calculation of the chi-squared test, and inter-group differences were expressed as odds ratio (OR) and 95% confidence intervals (OR, 95% CI). Comparisons between normally distributed continuous variables were performed by the calculation of Student’s t-test. In the case of asymmetric continuous variables, the tested hypotheses were based on the calculations of the non-parametric test suggested by Kruskal and Wallis. A linear regression model was developed to assess the effect of age and gender on BMI, WC, and % body fat content. BMI and, respectively, WC and % body fat content were defined as the dependent variable, the different age groups as the independent variable and the gender as an interaction term. All reported P-values are based on two-sided tests and compared to a significance level of 5%. SPSS 10.1 software (SPSS Inc. 2002, USA) was used for all the statistical calculations.


Figure 1 shows the age-stratification of our sample of 915 subjects compared to that of the Thessaly region and the country’s population. However, the percentage of the group in the age-range of 70 to 79 years was significantly lower compared to the country’s population of the same age-range and consequently was omitted from the final analysis. Hence, 852 subjects (402 males and 450 females) were included in the analysis with an age ranging from 18 to 70 years. The gender distribution of the sample was comparable to that of the source population (males/females: our sample 47.2/52.8%, population: 49.6/50.4%, p>0.05).

Figure 1. The age-dependent frequency distribution of the whole country population, the population of the Thessaly region, and our sample stratification.

The BMI value (mean (SD)) of the total population studied was 27.5±5.5 (range 17.5-58.3) and was significantly higher in males than in females (28.2±4.4 vs. 26.9±6.2, p<0.001). In addition, OB was more prevalent in rural compared to urban areas (Table 1 ) (33.1% vs. 17.8%, p=0.001) in both males (33.9% vs. 19.8%, p=0.002) and females (32.4% vs. 16.0%, p=0.001). However, OW was more prevalent in rural areas only in females (34.4% vs. 22.3%, p=0.006). The inhabitants in rural areas had a significantly higher risk for increased body weight (RR 1.55, 95% CI 1.07-2.26, p=0.026 for males, and RR 1.84, 95% CI 1.50-2.26, p<0.001 for females).

The prevalence of UW, NW, OW, and OB in males, females, and in the total group is shown in Table 2 . The overall prevalence of OB was 26.6% equally distributed among males and females (27.9% vs. 25.6%, p=0.601). The overall prevalence of OW was 39.4% but significantly more males were OW compared to females (50.8% vs. 29.3%, p<0.001). Inversely, significantly fewer males had normal weight compared to females (20.8% vs. 43.3%, p<0.001). Morbid obesity was found in 3.5% of the subjects with more females than males being in this category (4.7% vs. 2.0%, p<0.05). The distribution of MO in the various age groups in males and females is shown in Figure 2. MO was significantly higher in females compared to males only in the age group of 60-70 years (p<0.05).

Figure 2. The frequency distribution of morbid obesity in males and females in the various age groups. *p<0.05 compared to males.

The BMI distribution across the age groups is shown in Table 3 . In the whole group as well as in males and females, BMI was found to increase with age. Linear regression analysis showed that age categories and gender were independent predictors of BMI (p<0.001 and p=0.042, respectively). Similarly, independent predictors of BMI were age categories when analysis for each gender was done separately for males (p<0.001) and females (p<0.001).
The weight status based on BMI in the whole group and in the various ages is shown in Figure 3. The prevalence of obesity in the age group 18 to 29 years was low (9.4%) but doubled in the age group of 30 to 39 years (17.2%) and reached a level of 33.3% and 33.1% in the age groups of 40 to 49 and 50 to 59 years, respectively. The highest prevalence of obesity was found in the age group 60 to 70 years (38.9%). A different trend was observed in the prevalence of overweight with increasing age. It was doubled in the age group of 30 to 39 years compared to the age group 18 to 29 years (40.8% and 19.5%, respectively; p<0.001) and remained at comparable levels thereafter. The prevalence of normal weight was significantly lower in all age groups compared to individuals aged 18-29 years (p<0.001). The lowest prevalence of normal weight was observed in the age group of 60 to 70 years (16.2%). The prevalence of UW in the whole group (Table 2) was 1.2%, 1.8% in females, and 0.5% in males, p<0.05.

Figure 3. The weight status based on BMI in the various age groups. For statistical differences see text. (UW: under weight, NW: normal weight, OW: overweight, OB: obesity).

The prevalence of OW and OB in males and females in the various age groups is shown in Figures 4A and 4B, respectively. Significantly more males compared to females were OW over the whole age-range (50.8% vs. 29.3%, respectively, p<0.001) as well as in the age groups of 18-29, 30-39, and 40-49 years, whereas in the age groups of 50-59 and 60-70 years the prevalence of OW was comparable between males and females (Figure 4A). By contrast, comparable prevalence of OB was found in males and females in the whole age-range as well as in the various age-groups (Figure 4B).

Figure 4. Distribution of overweight (A) and obese (B) subjects in the various age groups separately for males and females.

Table 4 shows the distribution of the % fat content, WC, and W/H ratio across the age categories in males and females. For the total population WC was 93.01±15.16 cm (99.0±15.0 cm in males, 84.0±21.0 in females). The W/H ratio in the entire group was 0.88±0.09 cm (0.95±0.09 cm in males, 0.81±0.12 cm in females). Linear regression analysis showed that age category (p<0.001), BMI (p<0.001), and gender (p<0.001) were independent predictors of % body fat content, WC, and W/H ratio. When analysis for each gender was done separately, independent predictors of % body fat content, WC, and W/H ratio were age category (p<0.001) and BMI (p<0.001).

Mean waist and hip circumference and % of subjects with abnormal WC and W/H ratio according to BMI values are shown in Table 5 . The increase of BMI was associated with enhanced frequency of abdominal obesity in both sexes independently of the criterion used for defining central obesity. The prevalence of central obesity (WC ≥102cm for men and ≥88cm for women) was comparable between men and women (40.4% vs. 35.3%, p=0.137). Abdominal obesity was present in more than 90% of obese subjects of both sexes and in a significantly higher percentage of overweight females compared to males (46.2% vs. 18.1% p<0.001). 2.3% of males and 5.9% of females with normal body weight had central obesity. The prevalence of central obesity was higher when the criteria recommended for Europeans were used.


This is the first survey that has been conducted in a relatively large sample of the adult population of Thessaly stratified for age and sex to regional and whole-country population, providing data on the prevalence of excess body weight. Thessaly is a large region of central Greece with urban and rural areas. An impressively high number of adults were found to be either obese (26.6%) or overweight (39.4%) with OB being equally distributed between sexes, whereas significantly more males were OW compared to females (50.8% vs. 29.3%).

According to published studies, OB in Greek adults ranges from 17.8% to 26.6%. The overall prevalence of OB found in Thessaly was higher compared to respective prevalence found by Krassas et al14 in a sample based on the Central Macedonia population (19.9%), and Panagiotakos et al13 in a sample from the geographic area of Athens, the Attica area (17.8%). Although real differences in the prevalence of OB in different regions of the country cannot be excluded, it appears that the methodology used (reported and not measured height and weight), the population sampled, and the lack of age stratification in the above-mentioned local surveys might explain, at least in part, the discrepancy in the results obtained. The telephone self-reported information on height and weight by participants and the sampled population from an urban area might have underestimated19,20 the prevalence of obesity in Central Macedonia in the study of Krassas et al,14 since weight underestimation is most likely to be greater among females than among males in anthropometric values obtained by telephone.23 In addition, people with no telephone might be of lower socioeconomic status, a factor associated with OB.24 Similarly, the urbanization of the Attica area, represented mostly by the city of Athens, may explain the lower overall prevalence of OB in the survey conducted in person by Panagiotakos et al.13 However, in a study conducted in person in 9,649 participants aged 50 to 64 years, from all over the country,25 percent of subjects with BMI>25 was comparable to our results in the same age group (80.5% vs. 81.0% for males, 82.1% vs. 81.7% for females, respectively).

Compared to the results of the nationwide study by Kapantais et al,12 the overall prevalence of OB in the females of our study was significantly higher, whereas in males its prevalence was comparable. The lower prevalence of OB in this study12 might be attributed to the procedure followed, namely self-reported height and weight as well as the lack of age stratification. Compared to the population of the entire country, in the study of Kapantais et al12 the proportion of males in the age-range of 60 to 69 years was 3.4% (14.6% in the general population) and of females in the age-ranges of 50 to 59 and of 60 to 69 years it was 4.8% and 3.1%, respectively (15.3% and 16.1% in the general population). In this particular study, the highest prevalence of OB in females was observed in an age-range similar to ours (60 to 69 years), although a smaller proportion of females older than 60 years was included. Older adults were more likely to be obese than younger subjects. This was also the case in our study where BMI as well as percent body fat content were found to increase with age.

Moreover, the prevalence of MO in our population was found to be close to that found in non-Hispanic white Americans.27 This finding is particularly alarming when one considers that higher body weight in adults is associated with increased incidence of diabetes mellitus, hyperlipidemia, hypertension, nonalcoholic steatohepatitis, obstructive sleep apnea, certain forms of cancer, musculoskeletal disorders, and CHD which are responsible for higher disability, morbidity, and mortality.6,26

Central accumulation of body fat, estimated by the WC or W/H ratio, is strongly associated with the above-mentioned metabolic abnormalities.28 In our study, central OB, irrespective of the criteria used, followed the BMI escalation and was more prominent in the obese participants of both sexes with females having a higher incidence rate. Using as cut-off points the WC of 102 cm in males and 88 cm in females, we found that 41.54% of our total population (39.1% of males and 43.8% of females) had abdominal obesity. These figures were comparable to those found in the ATTICA study13 (36.0% and 43%, respectively) but higher compared to the results of the nationwide study13 (26.6% and 35.8%, respectively). Relatively high values of abdominal obesity were observed in southern Spain and Italy associated with high BMI, while lower values were found in northern Italy, France, UK, Denmark, and Sweden.25 The differences might be attributed to the variance that has been observed between different countries and even between regions of the same country.25 It is interesting to note that among subjects with normal BMI, a small proportion (2.3% in males and 5.9% in females) had central obesity. This is an additional alarming sign taking into account that European data on cardiovascular risk have shown that abdominal OB is a far better predictor of cardiovascular disease than BMI.29,30

The overall prevalence of OB in Thessaly is lower (26.6%) but close to that found in a recent epidemiological survey in the USA (2003-2004) for non-Hispanic whites aged ≥20 years (30.6%).5 In Europe, the frequency of OB is obviously heterogeneous and, according to a recent update from the International Obesity Task Force (IOTF),2 the prevalence of obesity in adults from European countries varies widely. The finding that in most European countries females are more obese than males was not detected in our study. For Greece, the IOTF’s recent update showed an OB prevalence of 26.0% in males and 18.2% in females, which in fact reflects the results of the Kapantais et al12 study. Our estimation is comparable to the IOTF’s report regarding the OB prevalence in males but not in females in which OB prevalence was higher. Due to the above-mentioned methodological limitations of the Kapantais et al12 study, we believe that OB prevalence in females is underestimated and that our results most likely represent values closer to the real prevalence of OB in adult Greek females. On the other hand differences between males and females have also been reported in adolescents from the area of Athens.31

Some potential limitations in our study should be noted. First, anthropometric measurements, although directly measured and not reported, were not obtained by the same person and this may be responsible for an inter-individual variability. Second, the region of Thessaly does not accurately represent the whole country as regards the urban/rural ratio as well as the socioeconomic characteristics with the result that extrapolation of our data to the whole country may not be appropriate.

In conclusion, overweight and obesity in the population of Thessaly are relatively high, especially in males, this being accompanied by the predictable increase in obesity related morbidity and mortality.


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Address for correspondence:
George N. Koukoulis, Assοciate Professor in Endocrinology, Department of Endocrinology and Metabolic Diseases,
Larissa University Hospital, Biopolis, 41 110, Larissa, Greece,
Tel.: (+30) 2413502820, Fax: (+30) 2413501567, e-mail: gnkouk@med.uth.gr

Received 10-01-10, Revised 20-04-10, Accepted 10-05-10