Central overweight and obesity in British youth aged 11-16 years: cross sectional surveys of waist circumference
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To compare changes over time in waist circumference (a measure of central fatness) and body mass index (a measure of overall obesity) in British youth.Representative cross sectional surveys in 1977, 1987, and 1997.Great Britain.Young people aged 11-16 years surveyed in 1977 (boys) and 1987 (girls) for the British Standards Institute (n=3784) and in 1997 (both sexes) for the national diet and nutrition survey (n=776).Waist circumference, expressed as a standard deviation score using the first survey as reference, and body mass index (weight(kg)/height(m)2), expressed as a standard deviation score against the British 1990 revised reference. Overweight and obesity were defined as the measurement exceeding the 91st and 98th centile, respectively.Waist circumference increased sharply over the period between surveys (mean increases for boys and girls, 6.9 and 6.2 cm, or 0.84 and 1.02 SD score units, P<0.0001). In centile terms, waist circumference increased more in girls than in boys. Increases in body mass index were smaller and similar by sex (means 1.5 and 1.6, or 0.47 and 0.53 SD score units, P<0.0001). Waist circumference in 1997 exceeded the 91st centile in 28% (n=110) of boys and 38% (n=147) of girls (against 9% for both sexes in 1977-87, P<0.0001), whereas 14% (n=54) and 17% (n=68), respectively, exceeded the 98th centile (3% in 1977-87, P<0.0001). The corresponding rates for body mass index in 1997 were 21% (n=80) of boys and 17% (n=67) of girls exceeding the 91st centile (8% and 6% in 1977-87) and 10% (n=39) and 8% (n=32) exceeding the 98th centile (3% and 2% in 1977-87).Trends in waist circumference during the past 10-20 years have greatly exceeded those in body mass index, particularly in girls, showing that body mass index is a poor proxy for central fatness. Body mass index has therefore systematically underestimated the prevalence of obesity in young people.Keywords:
Circumference
Waist-to-height ratio
Cross-sectional study
The aim of the study was to assess the relationship between age and obesity, to assess waist circumference and obesity. This type of quantitative research uses a cross-sectional design. The sample is 161 respondents. Data was collected using a questionnaire and measuring body mass index. Data were analyzed using the Pearson correlation test and linear regression analysis. The results showed that there were 144 respondents (89.4%) in the 18 - 25 year age category, 13 respondents (8.1%) for Body Mass Index for the first obesity category, 12 respondents (7.5%) for obesity II. There is a relationship between age and waist circumference with a p-value of 0.0001, there is a relationship between age and body mass index with a p-value of 0.0001. There is a relationship between age and body weight with a p-value of 0.001. Age is a risk factor for waist circumference, BMI, weight and hearing. As you get older, your waist circumference increases, your BMI increases, your weight increases and your age decreases your hearing ability. An obesity risk factor is age
Circumference
Waist-to-height ratio
Body volume index
Cross-sectional study
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Circumference
Abdominal obesity
Waist-to-height ratio
Cross-sectional study
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Waist-to-height ratio
Abdominal obesity
Body volume index
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Normal weight
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Background : The prevalence of overweight and obesity is on an increasing trend these days. Adverse effect of obesity can be seen in different physiological functions. This study aimed to see the fat distribution among students using different markers of obesity. Methods : A cross sectional observational study was carried out in the Department of Physiology, National Medical College, which included 250 students. Body fat percentage was measured using Omron body composition monitor and waist circumference was measured using non-stretchable tape. Body Mass Index, Body Adiposity Index, Fat Mass and Waist Hip Ratio were calculated. Results : Among 127 male subjects 8.7% were overweight and 18.1%, 47.2%, and 33.1% had high and 7.9%, 15%, 10.2% had very high fat percentage which was obtained from Body Fat Percentage, Body Adiposity Index, and Fat Mass respectively. Similarly, 4.7% and 48.8% had high Waist Circumference and Waist Hip Ratio respectively. Among 123 female subjects 9.8% were overweight and 1.6% were obese. 21.1%, 5.7% and 28.5% had high and 4.1%, and 0.8% had very high fat percentage which was obtained from Body Fat Percentage, and Body Adiposity Index respectively. Also 5.7% and 38.2% had high Waist Circumference and Waist hip Ratio respectively. Conclusion : The study showed high prevalence of overweight and obesity when measured by other adiposity indices than by body mass index.
Body Fat Percentage
Circumference
Waist–hip ratio
Body adiposity index
Waist-to-height ratio
Body volume index
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OBJECTIVE To investigate the impact on the prevalence of hypertension by body mass index and waist circumference.METHODS Participants aged 35 and above were investigated by site investigation or household survey.A total of 1426 subjects completed the questionnaire survey and Physical examination.RESULTS The prevalence of hypertension,overall obesity,central obesity and overweight and central obesity in this community were 29.96%,12.52% and 33.26%,respectively.The prevalence of hypertension increased with the BMI,and the risks of hypertension in overweight and obesity,central obesity and overweight and central obesity were higher than population with normal weight and waist circumference.CONCLUSION Overweight and obesity are prevalent in this area.Control of body weight is of great importance to the prevention and treatment of such chronic diseases as hypertension.
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Introduction: Health-related quality of life studies performed only based on body mass index does not provide clear results, especially in overweight individuals. The evaluation of body mass index and waist circumference measurements together can offer better insights in this area. Methods: The SF-36 Quality of Life Scale was applied to 398 women aged 18 years and over. The participants were grouped according to body mass index, and the overweight individuals were further divided into groups based on waist circumference measurements. To compare each sub-scale, the Kruskal-Wallis 1 - way ANOVA statistics were used. Results: From the normal weight to class III obesity, the scores in all physical and mental subscales tended to decline, except in the overweight group. Compared to the individuals with normal weight, the overweight participants’ scores in the mental subscales were increased but this was not statistically significant, unlike the other findings. We examined the overweight group separately according to the waist circumference measurements and detected statistically significant differences between the risk groups. The mental scores were significantly decreased in the high-risk group compared to the normal risk group (p<0.05). Conclusion: The effect of obesity on quality of life can be complex if evaluated only by body mass index, and therefore studies evaluating waist circumference measurements together with body mass index can provide clearer results in this area.
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Background: Obesity is a fast growing problem in the developing countries like India and is now known to be associated with increased health risk. Realizing the fact that the obesity in adolescent age group does not receive the deserved attention in the prevention and control programme, the present study was undertaken on 585 adolescent subjects studying in one college and three schools. Aims and Objectives: 1. To study the prevalence of overweight and obesity in adolescent population. 2. To find the association of body mass index (BMI) with important parameters like skin fold thickness, waist circumference and waist to hip ratio. Methods: It was a cross sectional observational study. The study population was school and college going adolescents in the age group of 11-19 years. The estimated sample size for present study is 585 students. The subjects were screened by body mass index, skin fold thickness, waist circumference and waist to hip ratio. Results: The prevalence of overweight and obesity was 19.14% and 4.44% respectively. It was found that there was strong association between the waist circumference with overweight and obesity. Similarly a strong association between waist to hip ratio with overweight and obesity has been found. Also it was found that there was a strong association between skin fold thickness with overweight and obesity. Skin-fold thickness has more sensitivity as compared to waist circumference and waist to hip ratio. Waist to hip ratio has got maximum specificity amongst all but when both sensitivity and specificity criteria are considered together waist circumference stands out. Conclusion: It was found that the prevalence of overweight and obesity was 19.14% and 4.44% respectively. Skin-fold thickness has more sensitivity as compared waist circumference and waist to hip ratio. Waist to hip ratio has got maximum specificity. When sensitivity and specificity criteria are considered together waist circumference can be effectively used as screening tool
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Objectives: Central obesity represents an increased risk to develop cardiovascular diseases. Guidelines of international societies suggest estimating central obesity by measuring waist circumference (WC). Robust statistical data in literature provide evidence on the superiority of waist-to-height ratio (WHtR) over WC and body mass index (BMI) for detecting cardiometabolic risk in both genders. Based on measurements of weight, height and waist circumference we compared the prevalence of central obesity using both the above mentioned criteria in the apparently healthy Slovak adults, and compared the prevalence of central obesity to that of general obesity (BMI). Methods: Data collected from 5,184 individuals (45% males) aged ≥18 years in four cross-sectional studies carried out between the years 2009-2012 were subjected to secondary analysis. Results: Waist circumference underestimated central obesity in males and overestimated in females: 37.3% of males and 41.8% of females presented central obesity according to WC, 54.2% males and 34.9% females according to WHtR. 17.3% of males centrally obese according to WC present WHtR < 0.5; while 7.8% of females centrally obese according to their WHtR do not display increased WC. The frequency of central obesity increased with age. According to BMI, the prevalence of overweight was 39% in males and 22% in females; that of obesity was 17% and 15%, respectively. Conclusion: The prevalence of central obesity estimated using WC vs. WHtR differs significantly in Slovak adults. WHtR is considered superior for detection of the risk of future development of cardiovascular afflictions. Thus, further studies addressing the gender-associated discordance of central obesity measures are required to determine whether our results are consistent across geographical regions and ethnic groups.
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Abdominal obesity
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Body volume index
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Background: Obesity is growing rapidly in our country. Nutrition is an important issue of obesity. The aim of this study was to determine the association between fruit and vegetable intake with the waist circumference and the body mass index (BMI) among young female university students. Materials and Methods: This cross-sectional study was conducted on 236 healthy female university students aged between 18 and 30 years old, who were selected randomly from the students of Isfahan University of Medical Sciences, Iran. A previously validated semi-quantitative food frequency questionnaire was used to assess the entire dietary component intake. Physical activity was assessed by daily recording of the physical activities. Findings: The prevalence of obesity, central adiposity and overweight was 1.7, 0.9 and 8.1%, respectively. The mean value of BMI and the waist circumference was 21.54 kg/m 2 and 70.37 cm, respectively. There was an inverse correlation between the fruit and vegetable intake and body weight (r = -0.1, P = 0.03) as well as BMI (r = -0.1, P = 0.04) and also there was an inverse correlation between the fruit intake and body weight (r = -0.1, P = 0.01) and BMI (r = -0.1, P = 0.01). There was no significant correlation between fruit and vegetable as well as fruit or vegetable separately with the waist circumference. Conclusion: There were significant correlations between fruit and also fruit and vegetable and body weight and BMI among female university students. There was no significant correlation between fruit and vegetable as well as fruit or vegetable separately with waist circumference.
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