![]() ![]() Measurements were taken by a trained registered nurse. The interview also included data about the use of prescribed and over-the-counter medication.Īnthropometric measurements including weight, height, and waist and hip circumferences were recorded with participants wearing light clothes. Information about previous and current diseases experienced by the participants or their family members were collected. A trained nurse was available to assist participants completing the questionnaire upon request.ĭata regarding health, family history and use of medication were collected by face-to-face interview, carried out by a trained nurse. Data about educational level, age, gender, occupation and physical activity were collected. Sociodemographic data were collected as part of a self-completed questionnaire. ![]() Institutional Review Board approval for this study was obtained from Qatar Biobank. Biobank recruitment and data collection protocols were approved by the Hamad Medical Corporation Ethics Committee. A net sample of 2407 Qatari participants (1269 males and 1138 females) was included in the analysis. Participants with missing data about unpleasable body fat measurements or metabolic risk indicators were also excluded ( n = 177). Participants with incomplete measurements were excluded ( n = 218). A random sample of 2802 was obtained from the Biobank survey data. Exclusion criteria of the study were non-Qataris, those aged below 21 or above 75 years old, pregnant women, and athletes. The study sample was based on a subsample of the Qatar Biobank survey. Therefore, the overall aim of this study was to establish age and gender specific cut-off points for body fatness indicators, specific for the Qatari population. Data investigating body-fat cut-off points associated with metabolic risk in Arabic countries are limited, with no data available in Qatar. Ethnic differences in levels of body fat and metabolic risks emphasise the need to establish population-specific cut-off values for body fat. For instance, results from the Chinese population reported that BF% was higher among people with low body mass index (BMI) compared to the European population. It is well known that levels of body fat associated with metabolic risk vary between ethnic populations, age groups and genders. It is therefore essential to assess body fat (BF) percentage.Īssessing BF and its distribution would be useful in screening for obesity and its metabolic risk factors. Īccumulation of adipose tissue among obese individuals is an independent underlying cause of several chronic life-threatening diseases. It is well known that the accumulation of excessive body fat may contribute to the development of cardiovascular risk factors, such as hypertension, insulin resistance, diabetes mellitus, and dyslipidaemia which contribute to cardiovascular diseases (CVD), such as coronary heart disease and stroke. ![]() The prevalence of overweigh and obesity among Qatari population has reached an alarming rate of 70 and 41% respectively. The World Health Organization reported that 35% of adults worldwide aged over 20 years were overweight (34% men and 35% women) including 10% men and 14% women being considered as obese. The global prevalence of obesity nearly doubled between 19. This study established Qatari adult-specific cut-off values of body fat for different age and gender groups. The cut-off points for visceral fat percent for those aged < 40 were 1.4 and 1.0%, and for those aged ≥40 were 1.9 and 1.4% in men and women, respectively. The cut-off points for trunk fat percent for those aged < 40 were 19.5 and 22.4%, and for those aged ≥40 were 21.6 and 23.4% in men and women, respectively. The cut-off for body fat percent for those aged < 40 were 35.1 and 45.1%, and for those aged ≥40 were 34.8 and 46.3% in men and women, respectively. The cut-off points for total fat for those aged < 40 were 34.0 kg, and for those aged ≥40 were 30.7 kg and 35.6 kg in men and women, respectively. The area under the curve was calculated using ROC analysis to obtain the body fat percentage associated with risk of disease. Blood test data including lipid profile, blood glucose and HbA1c data were also obtained. Individuals’ height, weight and body fat percentage were obtained. This cross-sectional study was based on Qatar Biobank data of 2407 Qatari adults (1269 male and 1138 female) aged 21–70 years old. The present study aimed to identify optimal cut-off values of body fat composition including total body fat, body fat percentage, visceral fat, and trunk fat, in order to predict metabolic risk in the Qatari population. Therefore, assessing levels of body fat associated with risk of disease in specific populations is crucial. Excessive body fat is the leading cause of many metabolic disorders. ![]()
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