Prevalence of obesity in Turkey

Department of Internal Medicine, Division of Endocrinology, Metabolism and Diabetes, Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey.
Obesity Reviews (Impact Factor: 8). 03/2005; 6(1):9-10. DOI: 10.1111/j.1467-789X.2005.00172.x
Source: PubMed


Obesity and overweight are increasing in Turkey according to the field surveys that were carried out a decade apart (TEKHARF 1990 and 2000). The overall prevalence of obesity in adults was 18.6% in the year 1990. Ten years later in 2000, the prevalence was 21.9%, which shows a relative increase rate of 17.7%. As it is true for most of the countries, overweight is more common in men and obesity is more prevalent among women in Turkey.

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    • "The prevalence and problem of overweight/obesity has increased significantly in the last 2 decades in both adults and children. Adult and childhood obesity has became an important and alarming health issue in Turkey [4] [5] [6]. "
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    ABSTRACT: Obesity is a major public health problem affecting an important proportion of the Turkish population. The prevalence of obesity has significantly increased among adult Turkish population over the past 20 years. In 1990, 18.8% of the adult population was obese (28.5% among women and 9% among men), and the prevalence increased to 36% in 2010 (44% among women and 27% among men). From the data, we found that the prevalence of obesity in Turkey has increased steadily from 1990 to 2010 in both genders. Adult obesity-associated risk factors are age, gender, hypertension, hyperlipidemia, smoking cessation, alcohol consumption, high household income, low education level and physical activity, occupation, marital status and a family of selected medical conditions (e.g. obesity, diabetes and hypertension). To control obesity, necessary precautions should urgently be taken. The precautions include serious public health education encouraging a well-balanced diet and increasing physical activity.
    IJC Metabolic and Endocrine 07/2015; 8. DOI:10.1016/j.ijcme.2015.07.002
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    • "However, obesity is one of the most modifiable risk factors in the aetiology of type 2 DM.[3233] The prevalence of obesity using BMI in this study was 27.4%, (males 22.3%; females 34.2%) which is higher than the figures reported by Bakari[34] in Northern Nigeria and Sabir[9] in North West Nigeria, but lower than the 30.4% found in a study by Baskin[35] in the United States of America, Rennie[36] in Great Britain and Yumuk[37] in Turkey. The higher BMI in females when compared to males in the present study corroborates findings in other studies.[934] "
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    ABSTRACT: Background: Obesity is a risk factor for type 2 diabetes mellitus which may be addressed by application of intensive lifestyle interventions. Thus, establishing normative values of anthropometric indices in our environment is crucial. This study aimed to determine normative values of anthropometric indices of nutrition among residents of Calabar. Materials and Methods: This cross sectional observational study recruited residents of Calabar aged between 15-79 years using a multistage sampling method. Trained research assistants collected socio-demographic data and did anthropometric measurements. Results: There were 645 (56.5%) males and 489 (43.1%) females. Males had significantly lower general adiposity and hip circumference (HC) than females while females had significantly lower waist circumference (WC) and waist hip ratio (WHR) than males. The WHR increased with age particularly among males. Body mass index (BMI) also increased with age in both males and females with a peak in the middle age bracket, followed by a decline among the elderly. The mean (SD) BMI was 27.7 (5.0) kg/m2. Males had a mean (SD) BMI of 27.0 (4.4) kg/m2, while females had a mean (SD) BMI of 28.5 (5.5) kg/m2 respectively. WC correlated positively and significantly with BMI and WHR in males and females. WHR correlated positively and significantly with BMI in males and females. Conclusion: There are positive linear inter relationships between the indices of nutrition which is strongest between WC and BMI. In view of the strong independent association of DM with indices of nutrition, it is appropriate to derive normal cut-off values for WC, WHR and BMI nationally.
    05/2014; 18(3):386-93. DOI:10.4103/2230-8210.131196
    • "We found that the number of abnormal values in GDM women had no effect on foetal weight in terms of macrosomia (over 4000 g) or low birthweight (lower than 2500 g). This may be related to ethnical, dietary, nutritional differences and having lesser obesity problem in Turkish population28. Another explanation may be treatment compliance. In most of the cases, dietary therapy was enough for regulation of blood glucose, but in some insulin treatment was used. "
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    ABSTRACT: Background & objectives: To examine the effect of abnormal oral glucose loading (OGL) and number of abnormal oral glucose tolerance test (OGTT) values on foetal weight in Turkish pregnant women. Methods: This retrospective study included 810 pregnant women between 24 and 28 wk of gestation who were screened for gestational diabetes mellitus (GDM). Women were grouped according to degree of glucose intolerance and compared for clinical, biochemical parameters. Women who delivered macrosomic infants were compared with those who delivered normal infants. Results: GDM was detected in 70 (8.6%) women. Median age and infant birthweight of GDM cases were higher than the other groups. Infants of women with GDM weighted 200 g more than infants of non-GDM cases. No difference was found in terms of birthweight between diabetes cases with 2, 3 or 4 OGTT values abnormality. Interpretation & conclusions: The number of abnormal OGTT values in GDM cases had no effect on foetal weight. Macrosomia was observed more in GDM cases than in non-GDM cases. Birthweight was significantly higher in women with GDM despite the therapy used for regulation of blood glucose. This may be related to ethnical, dietary, nutritional differences, and treatment compliance in our study population.
    The Indian Journal of Medical Research 01/2013; 137(1):95-101. · 1.40 Impact Factor
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