Research Article - Biomedical Research (2017) Volume 28, Issue 9
Obesity prevalence among adults in east black sea region of Turkey
Turan Set*, Elif AtesDepartment of Family Medicine, Medical Faculty, Karadeniz Technical University, Trabzon, Turkey
- *Corresponding Author:
- Turan Set
Department of Family Medicine
Karadeniz Technical University, Trabzon, Turkey
Accepted date: March 03, 2017
Abstract
Aim: We aimed to evaluate the prevalence of obesity among the adults who visited to family medicine clinic.
Methods: The volunteer individuals aged 18 and over who admitted to family medicine outpatient clinic were included in the study. Demographic characteristics and height, weight and body mass index (BMI) of the participants were recorded.
Results: Of the participants, 26.4% (n=505) were male and 73.6% (n=1406) were female. Median age of the participants was 34.0 (18.0-84.0) years. Median BMI value of the participants was 28 (14.4-64.6) kg/m2. Of the participants 31.0% (n=593) were pre-obese and 38.5% (n=736) obese. Obesity prevalence was 30.7% in males and 41.3% in females (p<0.001). Of the obese patients, 21.1% had class III obesity.
Conclusion: The prevalence of obesity continues to increase and is higher in women. Class II and class III obesity prevalence is higher in women than in men.
Keywords
Overweight, Obesity, Adult, Prevalence, Body mass index.
Introduction
Obesity is a global public health problem because of their effect on individuals, families and communities and its rate has increased all over the world [1]. It is associated with quality of life, risk of premature death and serious chronic diseases such as cancer, cardiovascular disease, hypertension, diabetes mellitus and dyslipidemia [2-4]. Thus, obesity and obesity related diseases seriously affect countries' economies [5]. Eventually, it is a serious health problem in the world.
Over the past 35 years, the prevalence of obesity has almost doubled worldwide. In 2014, global obesity rate among adults aged 18 years or older were 11% of men and 15% of women [6].
The prevalence of obesity in adults aged 20-79 was 10.4% in the United States in 1984 [7]. This prevalence has increased to 36.5% among adults aged 20 and older in 2014 [8]. In Europe, the prevalence of obesity ranges from 4.0% to 28.3% in men and from 6.2% to 36.5% in women [9].
In Turkey, the overall prevalence of obesity in adults was 18.6% in 1990 and 21.9% in 2000 [10]. In 2010, the prevalence of obesity among adults in Turkey is 36% and of overweight is 37% [11].
The increase of obesity has caused to common calls for regular monitoring of changes in overweight and obesity prevalence in all populations [12]. In this study, we aimed to evaluate the prevalence of obesity among the individuals who visited to family medicine outpatient clinic.
Methods
Study design
This research was conducted as a descriptive cross sectional study between January 2015 and November 2016 at the Department of Family Medicine Clinic of Karadeniz Technical University Medical Faculty in Trabzon, in East Black Sea Region of Turkey.
Participants
The volunteer individuals aged 18 and over who admitted to family medicine outpatient clinic were included in the study. Pregnant women were excluded. Demographic characteristics and height, weight and body mass index (BMI) of the participants were recorded. A total of 1911 participants enrolled in this study.
Definition of obesity
The World Health Organization defines obesity based on BMI (Table 1). It is calculated by the formula “BMI=Weight (kg)/ Height2 (m)”. Obesity was defined as BMI ≥ 30 kg/m2 [13,14].
Classification | BMI (kg/m2) |
---|---|
Underweight | <18.50 |
Severe thinness | <16.00 |
Moderate thinness | 16.00-16.99 |
Mild thinness | 17.00-18.49 |
Normal | 18.50-24.99 |
Overweight | ≥ 25.00 |
Pre-obese | 25.00-29.99 |
Obese | ≥ 30 |
Obese Class I | 30.00-34.99 |
Obese Class II | 35.00-39.99 |
Obese Class III | ≥ 40.00 |
Table 1: International classification of adults according to body mass index [6,13].
Sample size
The prevalence of obesity among adults in Turkey is 36% in 2010 [11]. According to this result, sample size is calculated as 1699 with 99% confidence, 3% deviation and 0.05 type 1 error. The sample size was calculated by OpenEpi Version 3 [15].
Statistical analysis
The data were analyzed using a statistical software package. Normal distribution was assessed by Kolmogorov-Smirnov one sample test. Numerical variables are expressed as mean ± SD and median (minimum-maximum). Mann Whitney U test and Chi square test were used in comparisons. Spearman correlation analysis was used to assess the relationship between age and BMI. Statistical significance level was set at p<0.05.
Results
Of the 1911 participants, 26.4% (n=505) were male and 73.6% (n=1406) were female. Median age of the participants was 34.0 (18.0-84.0) years.
The median age was 33 (18-84) years in men and 35 (18-82) years in women (p=0.938). Median BMI value of the participants was 28 (14.4-64.6) kg/m2. The mean BMI of the men was 27.5 ± 6.1 kg/m2 and the median BMI of the women was 28.4 (14.4-64.6) kg/m2 (p<0.001). Of the participants, 31.0% (n=593) were preobese and 38.5% (n=736) obese. Obesity prevalence was 30.7% in males and 41.3% in females (p<0.001, Table 2). Of the 736 obese patients, 21.1% had class III obesity. This rate was 11.6% for males and 23.6% for females (p=0.001, Table 3). Spearman correlation analysis showed a significant positive correlation between age and BMI (r=0.372, p<0.001, Figure 1).
BMI (kg/m2) | Classification | Male (n%) | Female (n%) | P value | Total (n%) |
---|---|---|---|---|---|
<18.50 | Underweight | 6.3 (32) | 3.9 (55) | 0.025 | 4.6 (87) |
<16.00 | Severe thinness | 0.4 (2) | 0.4 (6) | 0.337 | 0.4 (8) |
16.00-16.99 | Moderate thinness | 1.6 (8) | 1.4 (20) | 1.5 (28) | |
17.00-18.49 | Mild thinness | 4.4 (22) | 2.1 (29) | 2.7 (51) | |
18.50-24.99 | Normal | 27.7 (140) | 25.2 (355) | 0.276 | 25.9 (495) |
≥ 25.00 | Overweight | 65.9 (333) | 70.8 (996) | 0.04 | 69.5 (1329) |
25.00-29.99 | Preobese | 35.2 (178) | 29.5 (415) | 0.017 | 31.0 (593) |
≥ 30 | Obese | 30.7 (155) | 41.3 (581) | <0.001 | 38.5 (736) |
30.00-34.99 | Class I | 20.6 (104) | 19.6 (275) | <0.001 | 19.8 (379) |
35.00-39.99 | Class II | 6.5 (33) | 12.0 (169) | 10.6 (202) | |
≥ 40.00 | Class III | 3.6 (18) | 9.7 (137) | 8.1 (155) | |
Total | 100 (505) | 100 (1406) | 100 (1911) |
Table 2: Classification of participants according to BMI.
Gender (n%) | Obese (BMI ≥ 30 kg/m2) | Total | ||
---|---|---|---|---|
Class I | Class II | Class III | ||
Male | 67.1 (104) | 21.3 (33) | 11.6 (18) | 100 (155) |
Female | 47.3 (275) | 29.1 (169) | 23.6 (137) | 100 (581) |
P | <0.001 | 0.053 | 0.001 | |
Total | 51.5 (379) | 27.4 (202) | 21.1 (155) | 100 (736) |
Table 3: Obesity distribution according to gender of the obese participants.
Discussion
Our study showed that the prevalence of obesity is 38.5%. The prevalence of obesity was significantly higher in women than in men. Approximately one-third of the participants were preobese. The obesity prevalence continues to increase in many developed and developing countries [16]. For example; the prevalence of obesity increased from 19.1% to 27.2% in Australian adults between 1995 and 2012 [17]. In the TURDEP II study in 2010, obesity prevalence among adults in Turkey was 35% in community, 44% in females and 27% in males [11]. When we compare with the TURDEP II study, our results indicate that these ratios increased in the general population and in males and decreased in females. This finding indicates a positive change in women's attitudes and behaviours related to obesity.
In a study conducted in 2011-2012, the prevalence of class I, II and III obesity was 19.4, 5.9 and 2.0 percent respectively in men, and 16.1, 6.9 and 4.2 percent respectively in women. [17]. In our study, similarly, the prevalence of class I obesity was higher in men than in women while the prevalence of class II and class III obesity was higher in women than in men. This finding may be due to women's giving birth and hormonal differences. The prevalence of class III obesity has increased in several countries [18]. Class III obesity is associated with substantially elevated rates of total mortality, with most of the excess deaths due to heart disease, cancer, and diabetes, and major reductions in life expectancy compared with normal weight [18]. In our study, approximately one fourth obese women had class III obesity, twice as high as men (Table 3). This result supports that to provide weight control in women, there is a need to assess more thorough the risk factors and make counselling individualized.
There was a positive correlation between age and BMI. This finding may be attributed to factors such as slowing of metabolism with aging and physical inactivity. Therefore, the change in behaviour for maintaining and providing of weight control should be gain at the earliest possible age. Atherosclerotic cardiovascular diseases and diabetes are major contributors to the burden of disease in worldwide [19]. Type 2 diabetes, hypertension and cardiovascular disease risk are associated with the degree of overweight [20]. A meta-analysis indicates that pre-obesity and obesity were associated with significantly reduced risks of all-cause mortality in patients with type 2 diabetes mellitus by 19% and 28%, respectively [21]. In this respect, initiatives at the community level should be increased.
Primary care physicians have an important role in the fight against obesity. Unfortunately, in spite of increased rates of overweight, rates of weight control counselling in primary care have significantly declined [22]. It may be useful to motivate primary care physicians in this regard. In conclusion, the majority of the population is overweight. The prevalence of obesity continues to increase and is higher in women. Class II and class III obesity prevalence is higher in women than in men. To fight overweight, interventions at the community level should be increased.
Acknowledgements
The preliminary results of this study were presented in 5th International Trakya Family Medicine Congress 2016 as a poster presentation.
References
- Puhl RM, Latner JD, O'Brien K, Luedicke J, Danielsdottir S, Forhan M. A multinational examination of weight bias: predictors of anti-fat attitudes across four countries. Int J Obes (Lond) 2015; 39: 1166-1173.
- Set T, Ates E. Effect of small group training in addition to counselling on weight loss among obese women. Biomed Res-India 2017; 28: 880-882.
- Guiducci L, Pasanisi E, Capati E, Iozzo P. Obesity, diabetes, cancer and cardiovascular risk: a trans-generational network. Recenti progressi in medicina 2010; 101: 170-174.
- Vital signs: state-specific obesity prevalence among adults-United States, 2009. MMWR Morbidity and mortality weekly report. 2010; 59: 951-955.
- Popkin BM, Kim S, Rusev ER, Du S, Zizza C. Measuring the full economic costs of diet, physical activity and obesity-related chronic diseases. Obesity Rev 2006; 7: 271-293.
- Arroyo-Johnson C, Mincey KD. Obesity Epidemiology Worldwide. Gastroenterol Clin North Am 2016; 45: 571-579.
- An R, Xiang X. Age-period-cohort analyses of obesity prevalence in US adults. Pub Health 2016; 141: 163-169.
- Ogden CL, Carroll MD, Fryar CD, Flegal KM. Prevalence of obesity among adults and youth: United States, 2011–2014. NCHS data brief. 2015; 219: 1-8.
- Berghofer A, Pischon T, Reinhold T, Apovian CM, Sharma AM, Willich SN. Obesity prevalence from a European perspective: a systematic review. Bmc Pub Heal 2008; 8: 200.
- Yumuk VD. Prevalence of obesity in Turkey. Obes Rev 2005; 6:9-10.
- Satman I, Omer B, Tutuncu Y, Kalaca S, Gedik S, Dinccag N. Twelve-year trends in the prevalence and risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol 2013; 28: 169-180.
- Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384: 766-781.
- Consultation WHOE. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004; 363: 157-163.
- Komaroff M. For Researchers on Obesity: Historical Review of Extra Body Weight Definitions. J Obes 2016; 2016: 2460285.
- Sullivan KM, Dean A, Soe MM. OpenEpi: a web-based epidemiologic and statistical calculator for public health. Public Health Rep 2009; 124: 471-474.
- Imes CC, Burke LE. The Obesity Epidemic: The United States as a Cautionary Tale for the Rest of the World. Curr Epidemiol Rep 2014; 1: 82-88.
- Keating C, Backholer K, Gearon E, Stevenson C, Swinburn B, Moodie M. Prevalence of class-I, class-II and class-III obesity in Australian adults between 1995 and 2011-12. Obes Res Clin Pract 2015; 9: 553-562.
- Kitahara CM, Flint AJ, Berrington de Gonzalez A, Bernstein L, Brotzman M, MacInnis RJ. Association between class III obesity (BMI of 40-59 kg/m2) and mortality: a pooled analysis of 20 prospective studies. PLoS Med 2014; 11: e1001673.
- Al-Hussein FA, Tamimi W, Al Banyan E, Al-Twaijri YA, Tamim H. Cardiometabolic risk among Saudi children and adolescents: Saudi childrens overweight, obesity, and lifestyles (S.Ch.O.O.Ls) study. Ann Saud Med 2014; 34: 46-53.
- Nguyen NT, Magno CP, Lane KT, Hinojosa MW, Lane JS. Association of hypertension, diabetes, dyslipidemia, and metabolic syndrome with obesity: findings from the National Health and Nutrition Examination Survey, 1999 to 2004. J Am Coll Surg 2008; 207: 928-934.
- Liu XM, Liu YJ, Zhan J, He QQ. Overweight, obesity and risk of all-cause and cardiovascular mortality in patients with type 2 diabetes mellitus: a dose-response meta-analysis of prospective cohort studies. Eur J Epidemiol 2015; 30: 35-45.
- Kraschnewski JL, Sciamanna CN, Stuckey HL, Chuang CH, Lehman EB, Hwang KO. A silent response to the obesity epidemic: decline in US physician weight counseling. Med Car 2013; 51: 186-192.